{"id": "finqa_train_ans_00000001", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-15.1%.", "rejected": "-25.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000002", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-15.1%.", "rejected": "-3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000003", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-15.1%.", "rejected": "-4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000004", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-15.1%.", "rejected": "-7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000005", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-15.1%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "rejected_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000006", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-15.1%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "rejected_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000007", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-15.1%.", "rejected": "12.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "rejected_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000008", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-15.1%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000009", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-15.1%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000010", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-15.1%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "rejected_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000011", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-25.1%.", "rejected": "-15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000012", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-25.1%.", "rejected": "-3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000013", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-25.1%.", "rejected": "-4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000014", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-25.1%.", "rejected": "-7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000015", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-25.1%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "rejected_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000016", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-25.1%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "rejected_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000017", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-25.1%.", "rejected": "12.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "rejected_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000018", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-25.1%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000019", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-25.1%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000020", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-25.1%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "rejected_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000021", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-3.2%.", "rejected": "-15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000022", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-3.2%.", "rejected": "-25.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000023", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-3.2%.", "rejected": "-4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000024", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-3.2%.", "rejected": "-7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000025", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-3.2%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "rejected_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000026", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-3.2%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "rejected_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000027", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-3.2%.", "rejected": "12.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "rejected_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000028", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-3.2%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000029", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-3.2%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000030", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-3.2%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "rejected_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000031", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.7%.", "rejected": "-15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000032", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.7%.", "rejected": "-25.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000033", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.7%.", "rejected": "-3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000034", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.7%.", "rejected": "-7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000035", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.7%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "rejected_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000036", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.7%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "rejected_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000037", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.7%.", "rejected": "12.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "rejected_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000038", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.7%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000039", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.7%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000040", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.7%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "rejected_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000041", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.4%.", "rejected": "-15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000042", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.4%.", "rejected": "-25.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000043", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.4%.", "rejected": "-3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000044", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.4%.", "rejected": "-4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000045", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.4%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "rejected_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000046", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.4%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "rejected_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000047", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.4%.", "rejected": "12.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "rejected_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000048", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.4%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000049", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.4%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000050", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.4%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "rejected_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000051", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "-15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000052", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "-25.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000053", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "-3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000054", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "-4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000055", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "-7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000056", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000057", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "12.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000058", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000059", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000060", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000061", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.4%.", "rejected": "-15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000062", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.4%.", "rejected": "-25.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000063", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.4%.", "rejected": "-3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000064", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.4%.", "rejected": "-4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000065", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.4%.", "rejected": "-7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000066", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.4%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000067", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.4%.", "rejected": "12.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000068", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.4%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000069", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.4%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000070", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.4%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000071", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "12.3%.", "rejected": "-15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000072", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "12.3%.", "rejected": "-25.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000073", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "12.3%.", "rejected": "-3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000074", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "12.3%.", "rejected": "-4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000075", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "12.3%.", "rejected": "-7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000076", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "12.3%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "rejected_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000077", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "12.3%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "rejected_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000078", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "12.3%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000079", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "12.3%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000080", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "12.3%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "rejected_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000081", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "-15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000082", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "-25.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000083", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "-3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000084", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "-4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000085", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "-7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000086", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000087", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000088", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "12.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000089", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000090", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000091", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "-15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000092", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "-25.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000093", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "-3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000094", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "-4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000095", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "-7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000096", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000097", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000098", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "12.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000099", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000100", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000101", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.0%.", "rejected": "-15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-4", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "-15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["-15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000102", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.0%.", "rejected": "-25.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2015?", "answer": "-25.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1666", "arg2": "2224", "res": "-558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2224", "res": "-25.1%"}], "program": "subtract(1666, 2224), divide(#0, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -0.2509, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "divide(subtract(1666, 2224), 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["text_12", "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 558 million in 2016 primarily due to : 2022 lower realized wholesale energy prices , primarily due to significantly higher northeast market power prices in 2014 , and lower capacity prices in 2015 ; and 2022 a decrease in net revenue as a result of vermont yankee ceasing power production in december 2014 ."]]}, "answers": ["-25.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000103", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.0%.", "rejected": "-3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-3", "qa": {"question": "what is the growth rate in net revenue in 2008?", "answer": "-3.2%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "991.1", "res": "-3.2%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000104", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.0%.", "rejected": "-4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2017?", "answer": "-4.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1469", "arg2": "1542", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1542", "res": "-4.7%"}], "program": "subtract(1469, 1542), divide(#0, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -0.04734, "tfidftopn": {"text_10": "as shown in the table above , net revenue for entergy wholesale commodities decreased by approximately $ 73 million in 2017 primarily due to the absence of net revenue from the fitzpatrick plant after it was sold to exelon in march 2017 and lower volume in the entergy wholesale commodities nuclear fleet resulting from more outage days in 2017 as compared to 2016 ."}, "program_re": "divide(subtract(1469, 1542), 1542)", "model_input": [["text_9", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000105", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.0%.", "rejected": "-7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "-7.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1666", "res": "-124"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1666", "res": "-7.4%"}], "program": "subtract(1542, 1666), divide(#0, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -0.07443, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(1542, 1666), 1666)", "model_input": [["text_12", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000106", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.0%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "ETR/2011/page_358.pdf-1", "qa": {"question": "what is the growth rate in net revenue from 2010 to 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "247.0", "arg2": "272.9", "res": "-25.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "272.9", "res": "-9.5%"}], "program": "subtract(247.0, 272.9), divide(#0, 272.9)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;", "table_7": "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"}, "exe_ans": -0.09491, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(247.0, 272.9), 272.9)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"], ["table_3", "the net gas revenue of amount ( in millions ) is -9.1 ( 9.1 ) ;"], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 247.0 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000107", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.0%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "ETR/2011/page_377.pdf-3", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "11.4%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "540.2", "arg2": "485.1", "res": "55.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "485.1", "res": "11.4%"}], "program": "subtract(540.2, 485.1), divide(#0, 485.1)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;", "table_9": "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"}, "exe_ans": 0.11358, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(540.2, 485.1), 485.1)", "model_input": [["table_1", "the 2009 net revenue of amount ( in millions ) is $ 485.1 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 27.7 ;"], ["table_9", "the 2010 net revenue of amount ( in millions ) is $ 540.2 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000108", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.0%.", "rejected": "12.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "ETR/2011/page_359.pdf-2", "qa": {"question": "what is the growth rate in net revenue from 2009 to 2010?", "answer": "12.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "272.9", "arg2": "243.0", "res": "29.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243.0", "res": "12.3%"}], "program": "subtract(272.9, 243.0), divide(#0, 243.0)", "gold_inds": {"table_1": "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;", "table_6": "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"}, "exe_ans": 0.12305, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2010 to 2009 ."}, "program_re": "divide(subtract(272.9, 243.0), 243.0)", "model_input": [["text_6", "amount ( in millions ) ."], ["table_1", "the 2009 net revenue of amount ( in millions ) is $ 243.0 ;"], ["table_6", "the 2010 net revenue of amount ( in millions ) is $ 272.9 ;"]]}, "answers": ["12.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000109", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.0%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-2", "qa": {"question": "what is the growth rate in net revenue during 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_12": "the formula rate plan filing is discussed further in \"state and local rate regulation\" below ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -4.0 ( 4.0 ) ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000110", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.0%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME>?", "original_question": "what is the growth rate in net revenue in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-3.2%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.4%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "11.4%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "-15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-9.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-25.1%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "6.0%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}, {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-7.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-4.7%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_17.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.0%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"}, "exe_ans": 0.06004, "tfidftopn": {"text_7": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_2", "amount ( in millions ) ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000111", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000112", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000113", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000114", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000115", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000116", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000117", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000118", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000119", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000120", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000121", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000122", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000123", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-34.3%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000124", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000125", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000126", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000127", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000128", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000129", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000130", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000131", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000132", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000133", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000134", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000135", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000136", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.3%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000137", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000138", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000139", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000140", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000141", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000142", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000143", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000144", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000145", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000146", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000147", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000148", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000149", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0.7%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000150", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000151", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000152", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000153", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000154", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000155", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000156", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000157", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000158", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000159", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000160", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000161", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000162", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14.7%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000163", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000164", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000165", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000166", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000167", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000168", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000169", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000170", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000171", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000172", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000173", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000174", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000175", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2.08%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000176", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000177", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000178", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000179", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000180", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000181", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000182", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000183", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000184", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000185", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000186", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000187", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000188", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.25%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000189", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000190", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000191", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000192", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000193", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000194", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000195", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000196", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000197", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000198", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000199", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000200", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000201", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.4%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000202", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000203", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000204", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000205", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000206", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000207", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000208", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000209", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000210", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000211", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000212", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000213", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000214", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.3%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000215", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000216", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000217", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000218", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000219", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000220", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000221", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000222", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000223", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000224", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000225", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000226", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000227", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3.58%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000228", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000229", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000230", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000231", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000232", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000233", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000234", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000235", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000236", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000237", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000238", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000239", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000240", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.82%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000241", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000242", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000243", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000244", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000245", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000246", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000247", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000248", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000249", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000250", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000251", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000252", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000253", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.97%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000254", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000255", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000256", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000257", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000258", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000259", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000260", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000261", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000262", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000263", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000264", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000265", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000266", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000267", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000268", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000269", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000270", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000271", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000272", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000273", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000274", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000275", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000276", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000277", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000278", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000279", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.01%.", "rejected": "9.73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000280", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "-34.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-4", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "-34.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "959.2", "arg2": "991.1", "res": "-31.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "991.1", "res": "-34.3%"}], "program": "subtract(959.2, 991.1), divide(#0, 991.1)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"}, "exe_ans": -0.03219, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(959.2, 991.1), 991.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 959.2 ;"]]}, "answers": ["-34.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000281", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "0.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-2", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 7], "steps": [{"op": "minus2-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "442.3", "res": "0.3%"}], "program": "subtract(440.9, 442.3), divide(#0, 442.3)", "gold_inds": {"text_1": "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges .", "text_7": "the securitization transition charge variance is primarily due to the issuance of securitization bonds .", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;", "table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"}, "exe_ans": -0.00317, "tfidftopn": {}, "program_re": "divide(subtract(440.9, 442.3), 442.3)", "model_input": [["text_1", "management's financial discussion and analysis net revenue 2008 compared to 2007 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"], ["text_7", "the securitization transition charge variance is primarily due to the issuance of securitization bonds ."]]}, "answers": ["0.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000282", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2008/page_266.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1117.9", "res": "7.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1117.9", "res": "0.7%"}], "program": "subtract(1110.6, 1117.9), divide(#0, 1117.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;", "table_6": "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"}, "exe_ans": -0.00653, "tfidftopn": {"text_7": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(1110.6, 1117.9), 1117.9)", "model_input": [["text_7", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"], ["table_6", "the 2008 net revenue of amount ( in millions ) is $ 1117.9 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000283", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "14.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2004/page_258.pdf-4", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "14.7%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "239.0", "arg2": "208.3", "res": "30.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "208.3", "res": "14.7%"}], "program": "subtract(239.0, 208.3), divide(#0, 208.3)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 208.3 ;", "table_7": "the 2004 net revenue of ( in millions ) is $ 239.0 ;", "text_5": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.14738, "tfidftopn": {}, "program_re": "divide(subtract(239.0, 208.3), 208.3)", "model_input": [["text_5", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 208.3 ;"], ["table_7", "the 2004 net revenue of ( in millions ) is $ 239.0 ;"]]}, "answers": ["14.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000284", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "2.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2004/page_159.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "2.08%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "978.4", "res": "20.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "978.4", "res": "2.08%"}], "program": "subtract(998.7, 978.4), divide(#0, 978.4)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "table_4": "the 2004 net revenue of ( in millions ) is $ 978.4 ;", "text_6": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "exe_ans": 0.02075, "tfidftopn": {}, "program_re": "divide(subtract(998.7, 978.4), 978.4)", "model_input": [["text_6", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"], ["table_4", "the 2004 net revenue of ( in millions ) is $ 978.4 ;"]]}, "answers": ["2.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000285", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "2.25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "2.25%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [2, 3], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.25%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;", "text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 .", "text_3": "amount ( in millions ) ."}, "exe_ans": 0.0225, "tfidftopn": {}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["text_3", "amount ( in millions ) ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000286", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2008/page_336.pdf-3", "qa": {"question": "what is the percent change in net revenue between 2007 and 2008?", "answer": "2.4%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "498.8", "arg2": "486.9", "res": "11.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "486.9", "res": "2.4%"}], "program": "subtract(498.8, 486.9), divide(#0, 486.9)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;", "table_8": "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2008 to 2007 ."}, "program_re": "divide(subtract(498.8, 486.9), 486.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2008 to 2007 ."], ["table_1", "the 2007 net revenue of amount ( in millions ) is $ 486.9 ;"], ["table_8", "the 2008 net revenue of amount ( in millions ) is $ 498.8 ;"]]}, "answers": ["2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000287", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "3.3%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1074.5", "arg2": "1110.6", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.6", "res": "3.3%"}], "program": "subtract(1074.5, 1110.6), divide(#0, 1110.6)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": -0.0325, "tfidftopn": {"text_9": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(1074.5, 1110.6), 1110.6)", "model_input": [["text_9", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000288", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "3.58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2004/page_185.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2003 to 2004?", "answer": "3.58%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1149.8", "arg2": "1110.1", "res": "39.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1110.1", "res": "3.58%"}], "program": "subtract(1149.8, 1110.1), divide(#0, 1110.1)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 1110.1 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"}, "exe_ans": 0.03576, "tfidftopn": {"text_17": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "divide(subtract(1149.8, 1110.1), 1110.1)", "model_input": [["table_1", "the 2003 net revenue of ( in millions ) is $ 1110.1 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 1149.8 ;"], ["text_17", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."]]}, "answers": ["3.58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000289", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "3.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2013 to 2014?", "answer": "3.82%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.82%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000290", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "4.97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2016 to 2017?", "answer": "4.97%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6, 7], "steps": [{"op": "minus1-1", "arg1": "1542", "arg2": "1469", "res": "73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1469", "res": "4.97%"}], "program": "subtract(1542, 1469), divide(#0, 1469)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;", "text_5": "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing .", "text_6": "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage .", "text_7": "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."}, "exe_ans": 0.04969, "tfidftopn": {}, "program_re": "divide(subtract(1542, 1469), 1469)", "model_input": [["text_5", "see note 3 to the financial statements for additional discussion of the settlement and benefit sharing ."], ["text_6", "the volume/weather variance is primarily due to the effect of less favorable weather on residential and commercial sales , partially offset by an increase in industrial usage ."], ["text_7", "the increase in industrial usage is primarily due to new customers in the primary metals industry and expansion projects and an increase in demand for existing customers in the chlor-alkali industry ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["4.97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000291", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-1", "qa": {"question": "what is the percent change in net revenue between 2006 and 2007?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "942.1", "res": "5.2%"}], "program": "subtract(991.1, 942.1), divide(#0, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 0.05201, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "divide(subtract(991.1, 942.1), 942.1)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2007 to 2006 ."], ["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000292", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in net revenue from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "9.73%.", "rejected": "6.01%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in net revenue <TIME>?", "original_question": "what is the percent change in net revenue from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.73%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "3.58%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "14.7%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "2.08%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "5.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "3.3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "0.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "2.4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "-34.3%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "0.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "3.82%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "6.01%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "4.97%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "2.25%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-3", "qa": {"question": "what is the percent change in net revenue from 2002 to 2003?", "answer": "9.73%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "1095.9", "arg2": "998.7", "res": "97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "998.7", "res": "9.73%"}], "program": "subtract(1095.9, 998.7), divide(#0, 998.7)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;", "text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "exe_ans": 0.09733, "tfidftopn": {}, "program_re": "divide(subtract(1095.9, 998.7), 998.7)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["9.73%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-1", "qa": {"question": "what is the percent change in net revenue from 2015 to 2016?", "answer": "6.01%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "6179", "arg2": "5829", "res": "350"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5829", "res": "6.01%"}], "program": "subtract(6179, 5829), divide(#0, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 .", "text_6": "amount ( in millions ) ."}, "exe_ans": 0.06004, "tfidftopn": {}, "program_re": "divide(subtract(6179, 5829), 5829)", "model_input": [["text_5", "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."], ["text_6", "amount ( in millions ) ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["6.01%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000293", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2013 what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "28%.", "rejected": "32%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || <TIME> what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?", "doc_prefix": "GS", "base_question": "<TIME> what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?", "original_question": "in 2013 what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"28%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "32%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "GS/2014/page_47.pdf-3", "qa": {"question": "in 2013 what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?", "answer": "28%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1947", "arg2": "7018", "res": "28%"}], "program": "divide(1947, 7018)", "gold_inds": {"table_2": "$ in millions the debt securities and loans of year ended december 2014 is 2165 ; the debt securities and loans of year ended december 2013 is 1947 ; the debt securities and loans of year ended december 2012 is 1850 ;", "table_4": "$ in millions the total net revenues of year ended december 2014 is 6825 ; the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ;"}, "exe_ans": 0.27743, "tfidftopn": {"text_19": "in addition , net gains and net interest income from debt securities and loans were slightly higher , while other net revenues , related to our consolidated investments , were lower compared with 2012 ."}, "program_re": "divide(1947, 7018)", "model_input": [["table_2", "$ in millions the debt securities and loans of year ended december 2014 is 2165 ; the debt securities and loans of year ended december 2013 is 1947 ; the debt securities and loans of year ended december 2012 is 1850 ;"], ["table_4", "$ in millions the total net revenues of year ended december 2014 is 6825 ; the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ;"], ["text_5", "includes net revenues of $ 325 million for 2014 , $ 329 million for 2013 and $ 362 million for 2012 related to metro international trade services llc ."]]}, "answers": ["28%"]}, "rejected_source": {"id": "GS/2014/page_47.pdf-1", "qa": {"question": "in 2014 what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?", "answer": "32%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2165", "arg2": "6825", "res": "32%"}], "program": "divide(2165, 6825)", "gold_inds": {"table_2": "$ in millions the debt securities and loans of year ended december 2014 is 2165 ; the debt securities and loans of year ended december 2013 is 1947 ; the debt securities and loans of year ended december 2012 is 1850 ;", "table_4": "$ in millions the total net revenues of year ended december 2014 is 6825 ; the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ;"}, "exe_ans": 0.31722, "tfidftopn": {"text_8": "net revenues in investing & lending were $ 6.83 billion for 2014 , 3% ( 3 % ) lower than 2013 ."}, "program_re": "divide(2165, 6825)", "model_input": [["table_2", "$ in millions the debt securities and loans of year ended december 2014 is 2165 ; the debt securities and loans of year ended december 2013 is 1947 ; the debt securities and loans of year ended december 2012 is 1850 ;"], ["table_4", "$ in millions the total net revenues of year ended december 2014 is 6825 ; the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ;"], ["text_5", "includes net revenues of $ 325 million for 2014 , $ 329 million for 2013 and $ 362 million for 2012 related to metro international trade services llc ."]]}, "answers": ["32%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000294", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2014 what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "32%.", "rejected": "28%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || <TIME> what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?", "doc_prefix": "GS", "base_question": "<TIME> what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?", "original_question": "in 2014 what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"28%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "32%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "GS/2014/page_47.pdf-1", "qa": {"question": "in 2014 what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?", "answer": "32%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2165", "arg2": "6825", "res": "32%"}], "program": "divide(2165, 6825)", "gold_inds": {"table_2": "$ in millions the debt securities and loans of year ended december 2014 is 2165 ; the debt securities and loans of year ended december 2013 is 1947 ; the debt securities and loans of year ended december 2012 is 1850 ;", "table_4": "$ in millions the total net revenues of year ended december 2014 is 6825 ; the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ;"}, "exe_ans": 0.31722, "tfidftopn": {"text_8": "net revenues in investing & lending were $ 6.83 billion for 2014 , 3% ( 3 % ) lower than 2013 ."}, "program_re": "divide(2165, 6825)", "model_input": [["table_2", "$ in millions the debt securities and loans of year ended december 2014 is 2165 ; the debt securities and loans of year ended december 2013 is 1947 ; the debt securities and loans of year ended december 2012 is 1850 ;"], ["table_4", "$ in millions the total net revenues of year ended december 2014 is 6825 ; the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ;"], ["text_5", "includes net revenues of $ 325 million for 2014 , $ 329 million for 2013 and $ 362 million for 2012 related to metro international trade services llc ."]]}, "answers": ["32%"]}, "rejected_source": {"id": "GS/2014/page_47.pdf-3", "qa": {"question": "in 2013 what percentage of total net revenues for the investing & lending segment were due to debt securities and loans?", "answer": "28%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1947", "arg2": "7018", "res": "28%"}], "program": "divide(1947, 7018)", "gold_inds": {"table_2": "$ in millions the debt securities and loans of year ended december 2014 is 2165 ; the debt securities and loans of year ended december 2013 is 1947 ; the debt securities and loans of year ended december 2012 is 1850 ;", "table_4": "$ in millions the total net revenues of year ended december 2014 is 6825 ; the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ;"}, "exe_ans": 0.27743, "tfidftopn": {"text_19": "in addition , net gains and net interest income from debt securities and loans were slightly higher , while other net revenues , related to our consolidated investments , were lower compared with 2012 ."}, "program_re": "divide(1947, 7018)", "model_input": [["table_2", "$ in millions the debt securities and loans of year ended december 2014 is 2165 ; the debt securities and loans of year ended december 2013 is 1947 ; the debt securities and loans of year ended december 2012 is 1850 ;"], ["table_4", "$ in millions the total net revenues of year ended december 2014 is 6825 ; the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ;"], ["text_5", "includes net revenues of $ 325 million for 2014 , $ 329 million for 2013 and $ 362 million for 2012 related to metro international trade services llc ."]]}, "answers": ["28%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000295", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in operating profit margins as adjusted from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "0.7%.", "rejected": "1.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAS || what was the difference in operating profit margins as adjusted <TIME>?", "doc_prefix": "MAS", "base_question": "what was the difference in operating profit margins as adjusted <TIME>?", "original_question": "what was the difference in operating profit margins as adjusted from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.6%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "0.7%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "MAS/2017/page_37.pdf-4", "qa": {"question": "what was the difference in operating profit margins as adjusted from 2016 to 2017?", "answer": "0.7%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "15.3%", "arg2": "14.6%", "res": "0.7%"}], "program": "subtract(15.3%, 14.6%)", "gold_inds": {"table_6": "the operating profit margins as adjusted of 2017 is 15.3% ( 15.3 % ) ; the operating profit margins as adjusted of 2016 is 14.6% ( 14.6 % ) ; the operating profit margins as adjusted of 2015 is 13.0% ( 13.0 % ) ;"}, "exe_ans": 0.007, "tfidftopn": {"table_4": "The operating profit as adjusted of 2017 is $ 1173 ; The operating profit as adjusted of 2016 is $ 1075 ; The operating profit as adjusted of 2015 is $ 927 ;", "table_5": "The operating profit margins as reported of 2017 is 15.3% ( 15.3 % ) ; The operating profit margins as reported of 2016 is 14.3% ( 14.3 % ) ; The operating profit margins as reported of 2015 is 12.8% ( 12.8 % ) ;"}, "program_re": "subtract(15.3%, 14.6%)", "model_input": [["table_1", "the operating profit as reported of 2017 is $ 1169 ; the operating profit as reported of 2016 is $ 1053 ; the operating profit as reported of 2015 is $ 914 ;"], ["table_4", "the operating profit as adjusted of 2017 is $ 1173 ; the operating profit as adjusted of 2016 is $ 1075 ; the operating profit as adjusted of 2015 is $ 927 ;"], ["table_6", "the operating profit margins as adjusted of 2017 is 15.3% ( 15.3 % ) ; the operating profit margins as adjusted of 2016 is 14.6% ( 14.6 % ) ; the operating profit margins as adjusted of 2015 is 13.0% ( 13.0 % ) ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "MAS/2017/page_37.pdf-1", "qa": {"question": "what was the difference in operating profit margins as adjusted from 2015 to 2016?", "answer": "1.6%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "14.6%", "arg2": "13.0%", "res": "1.6%"}], "program": "subtract(14.6%, 13.0%)", "gold_inds": {"table_6": "the operating profit margins as adjusted of 2017 is 15.3% ( 15.3 % ) ; the operating profit margins as adjusted of 2016 is 14.6% ( 14.6 % ) ; the operating profit margins as adjusted of 2015 is 13.0% ( 13.0 % ) ;"}, "exe_ans": 0.016, "tfidftopn": {"table_4": "The operating profit as adjusted of 2017 is $ 1173 ; The operating profit as adjusted of 2016 is $ 1075 ; The operating profit as adjusted of 2015 is $ 927 ;", "table_5": "The operating profit margins as reported of 2017 is 15.3% ( 15.3 % ) ; The operating profit margins as reported of 2016 is 14.3% ( 14.3 % ) ; The operating profit margins as reported of 2015 is 12.8% ( 12.8 % ) ;"}, "program_re": "subtract(14.6%, 13.0%)", "model_input": [["table_1", "the operating profit as reported of 2017 is $ 1169 ; the operating profit as reported of 2016 is $ 1053 ; the operating profit as reported of 2015 is $ 914 ;"], ["table_4", "the operating profit as adjusted of 2017 is $ 1173 ; the operating profit as adjusted of 2016 is $ 1075 ; the operating profit as adjusted of 2015 is $ 927 ;"], ["table_6", "the operating profit margins as adjusted of 2017 is 15.3% ( 15.3 % ) ; the operating profit margins as adjusted of 2016 is 14.6% ( 14.6 % ) ; the operating profit margins as adjusted of 2015 is 13.0% ( 13.0 % ) ;"]]}, "answers": ["1.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000296", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in operating profit margins as adjusted from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1.6%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAS || what was the difference in operating profit margins as adjusted <TIME>?", "doc_prefix": "MAS", "base_question": "what was the difference in operating profit margins as adjusted <TIME>?", "original_question": "what was the difference in operating profit margins as adjusted from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.6%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "0.7%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "MAS/2017/page_37.pdf-1", "qa": {"question": "what was the difference in operating profit margins as adjusted from 2015 to 2016?", "answer": "1.6%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "14.6%", "arg2": "13.0%", "res": "1.6%"}], "program": "subtract(14.6%, 13.0%)", "gold_inds": {"table_6": "the operating profit margins as adjusted of 2017 is 15.3% ( 15.3 % ) ; the operating profit margins as adjusted of 2016 is 14.6% ( 14.6 % ) ; the operating profit margins as adjusted of 2015 is 13.0% ( 13.0 % ) ;"}, "exe_ans": 0.016, "tfidftopn": {"table_4": "The operating profit as adjusted of 2017 is $ 1173 ; The operating profit as adjusted of 2016 is $ 1075 ; The operating profit as adjusted of 2015 is $ 927 ;", "table_5": "The operating profit margins as reported of 2017 is 15.3% ( 15.3 % ) ; The operating profit margins as reported of 2016 is 14.3% ( 14.3 % ) ; The operating profit margins as reported of 2015 is 12.8% ( 12.8 % ) ;"}, "program_re": "subtract(14.6%, 13.0%)", "model_input": [["table_1", "the operating profit as reported of 2017 is $ 1169 ; the operating profit as reported of 2016 is $ 1053 ; the operating profit as reported of 2015 is $ 914 ;"], ["table_4", "the operating profit as adjusted of 2017 is $ 1173 ; the operating profit as adjusted of 2016 is $ 1075 ; the operating profit as adjusted of 2015 is $ 927 ;"], ["table_6", "the operating profit margins as adjusted of 2017 is 15.3% ( 15.3 % ) ; the operating profit margins as adjusted of 2016 is 14.6% ( 14.6 % ) ; the operating profit margins as adjusted of 2015 is 13.0% ( 13.0 % ) ;"]]}, "answers": ["1.6%"]}, "rejected_source": {"id": "MAS/2017/page_37.pdf-4", "qa": {"question": "what was the difference in operating profit margins as adjusted from 2016 to 2017?", "answer": "0.7%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "15.3%", "arg2": "14.6%", "res": "0.7%"}], "program": "subtract(15.3%, 14.6%)", "gold_inds": {"table_6": "the operating profit margins as adjusted of 2017 is 15.3% ( 15.3 % ) ; the operating profit margins as adjusted of 2016 is 14.6% ( 14.6 % ) ; the operating profit margins as adjusted of 2015 is 13.0% ( 13.0 % ) ;"}, "exe_ans": 0.007, "tfidftopn": {"table_4": "The operating profit as adjusted of 2017 is $ 1173 ; The operating profit as adjusted of 2016 is $ 1075 ; The operating profit as adjusted of 2015 is $ 927 ;", "table_5": "The operating profit margins as reported of 2017 is 15.3% ( 15.3 % ) ; The operating profit margins as reported of 2016 is 14.3% ( 14.3 % ) ; The operating profit margins as reported of 2015 is 12.8% ( 12.8 % ) ;"}, "program_re": "subtract(15.3%, 14.6%)", "model_input": [["table_1", "the operating profit as reported of 2017 is $ 1169 ; the operating profit as reported of 2016 is $ 1053 ; the operating profit as reported of 2015 is $ 914 ;"], ["table_4", "the operating profit as adjusted of 2017 is $ 1173 ; the operating profit as adjusted of 2016 is $ 1075 ; the operating profit as adjusted of 2015 is $ 927 ;"], ["table_6", "the operating profit margins as adjusted of 2017 is 15.3% ( 15.3 % ) ; the operating profit margins as adjusted of 2016 is 14.6% ( 14.6 % ) ; the operating profit margins as adjusted of 2015 is 13.0% ( 13.0 % ) ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000297", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of goodwill from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-0.4%.", "rejected": "2.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADI || what is the percentage change in the balance of goodwill <TIME>?", "doc_prefix": "ADI", "base_question": "what is the percentage change in the balance of goodwill <TIME>?", "original_question": "what is the percentage change in the balance of goodwill from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-0.4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "2.6%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "ADI/2016/page_61.pdf-1", "qa": {"question": "what is the percentage change in the balance of goodwill from 2014 to 2015?", "answer": "-0.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "1636526", "arg2": "1642438", "res": "-5912"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1642438", "res": "-0.4%"}], "program": "subtract(1636526, 1642438), divide(#0, 1642438)", "gold_inds": {"text_1": "notes to consolidated financial statements 2014 ( continued ) depreciation expense for property , plant and equipment was $ 134.5 million , $ 130.1 million and $ 114.1 million in fiscal 2016 , 2015 and 2014 , respectively .", "table_5": "the balance at end of year of 2016 is $ 1679116 ; the balance at end of year of 2015 is $ 1636526 ;", "table_1": "the balance at beginning of year of 2016 is $ 1636526 ; the balance at beginning of year of 2015 is $ 1642438 ;"}, "exe_ans": -0.0036, "tfidftopn": {}, "program_re": "divide(subtract(1636526, 1642438), 1642438)", "model_input": [["text_1", "notes to consolidated financial statements 2014 ( continued ) depreciation expense for property , plant and equipment was $ 134.5 million , $ 130.1 million and $ 114.1 million in fiscal 2016 , 2015 and 2014 , respectively ."], ["table_1", "the balance at beginning of year of 2016 is $ 1636526 ; the balance at beginning of year of 2015 is $ 1642438 ;"], ["table_5", "the balance at end of year of 2016 is $ 1679116 ; the balance at end of year of 2015 is $ 1636526 ;"]]}, "answers": ["-0.4%"]}, "rejected_source": {"id": "ADI/2016/page_61.pdf-2", "qa": {"question": "what is the percentage change in the balance of goodwill from 2015 to 2016?", "answer": "2.6%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1679116", "arg2": "1636526", "res": "42590"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1636526", "res": "2.6%"}], "program": "subtract(1679116, 1636526), divide(#0, 1636526)", "gold_inds": {"table_5": "the balance at end of year of 2016 is $ 1679116 ; the balance at end of year of 2015 is $ 1636526 ;"}, "exe_ans": 0.02602, "tfidftopn": {"table_1": "The balance at beginning of year of 2016 is $ 1636526 ; The balance at beginning of year of 2015 is $ 1642438 ;", "text_22": "the following table presents the changes in goodwill during fiscal 2016 and fiscal 2015: ."}, "program_re": "divide(subtract(1679116, 1636526), 1636526)", "model_input": [["text_1", "notes to consolidated financial statements 2014 ( continued ) depreciation expense for property , plant and equipment was $ 134.5 million , $ 130.1 million and $ 114.1 million in fiscal 2016 , 2015 and 2014 , respectively ."], ["table_1", "the balance at beginning of year of 2016 is $ 1636526 ; the balance at beginning of year of 2015 is $ 1642438 ;"], ["table_5", "the balance at end of year of 2016 is $ 1679116 ; the balance at end of year of 2015 is $ 1636526 ;"]]}, "answers": ["2.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000298", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of goodwill from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "2.6%.", "rejected": "-0.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADI || what is the percentage change in the balance of goodwill <TIME>?", "doc_prefix": "ADI", "base_question": "what is the percentage change in the balance of goodwill <TIME>?", "original_question": "what is the percentage change in the balance of goodwill from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-0.4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "2.6%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "ADI/2016/page_61.pdf-2", "qa": {"question": "what is the percentage change in the balance of goodwill from 2015 to 2016?", "answer": "2.6%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1679116", "arg2": "1636526", "res": "42590"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1636526", "res": "2.6%"}], "program": "subtract(1679116, 1636526), divide(#0, 1636526)", "gold_inds": {"table_5": "the balance at end of year of 2016 is $ 1679116 ; the balance at end of year of 2015 is $ 1636526 ;"}, "exe_ans": 0.02602, "tfidftopn": {"table_1": "The balance at beginning of year of 2016 is $ 1636526 ; The balance at beginning of year of 2015 is $ 1642438 ;", "text_22": "the following table presents the changes in goodwill during fiscal 2016 and fiscal 2015: ."}, "program_re": "divide(subtract(1679116, 1636526), 1636526)", "model_input": [["text_1", "notes to consolidated financial statements 2014 ( continued ) depreciation expense for property , plant and equipment was $ 134.5 million , $ 130.1 million and $ 114.1 million in fiscal 2016 , 2015 and 2014 , respectively ."], ["table_1", "the balance at beginning of year of 2016 is $ 1636526 ; the balance at beginning of year of 2015 is $ 1642438 ;"], ["table_5", "the balance at end of year of 2016 is $ 1679116 ; the balance at end of year of 2015 is $ 1636526 ;"]]}, "answers": ["2.6%"]}, "rejected_source": {"id": "ADI/2016/page_61.pdf-1", "qa": {"question": "what is the percentage change in the balance of goodwill from 2014 to 2015?", "answer": "-0.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "1636526", "arg2": "1642438", "res": "-5912"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1642438", "res": "-0.4%"}], "program": "subtract(1636526, 1642438), divide(#0, 1642438)", "gold_inds": {"text_1": "notes to consolidated financial statements 2014 ( continued ) depreciation expense for property , plant and equipment was $ 134.5 million , $ 130.1 million and $ 114.1 million in fiscal 2016 , 2015 and 2014 , respectively .", "table_5": "the balance at end of year of 2016 is $ 1679116 ; the balance at end of year of 2015 is $ 1636526 ;", "table_1": "the balance at beginning of year of 2016 is $ 1636526 ; the balance at beginning of year of 2015 is $ 1642438 ;"}, "exe_ans": -0.0036, "tfidftopn": {}, "program_re": "divide(subtract(1636526, 1642438), 1642438)", "model_input": [["text_1", "notes to consolidated financial statements 2014 ( continued ) depreciation expense for property , plant and equipment was $ 134.5 million , $ 130.1 million and $ 114.1 million in fiscal 2016 , 2015 and 2014 , respectively ."], ["table_1", "the balance at beginning of year of 2016 is $ 1636526 ; the balance at beginning of year of 2015 is $ 1642438 ;"], ["table_5", "the balance at end of year of 2016 is $ 1679116 ; the balance at end of year of 2015 is $ 1636526 ;"]]}, "answers": ["-0.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000299", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total long-term assets under supervision are comprised of fixed income in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "57%.", "rejected": "59%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total long-term assets under supervision are comprised of fixed income <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of total long-term assets under supervision are comprised of fixed income <TIME>?", "original_question": "what percentage of total long-term assets under supervision are comprised of fixed income in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"57%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "59%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GS/2016/page_79.pdf-3", "qa": {"question": "what percentage of total long-term assets under supervision are comprised of fixed income in 2015?", "answer": "57%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "530", "arg2": "922", "res": "57%"}], "program": "divide(530, 922)", "gold_inds": {"table_3": "$ in billions the fixed income of average for theyear ended december 2016 is 578 ; the fixed income of average for theyear ended december 2015 is 530 ; the fixed income of average for theyear ended december 2014 is 499 ;", "table_4": "$ in billions the total long-term assets under supervision of average for theyear ended december 2016 is 983 ; the total long-term assets under supervision of average for theyear ended december 2015 is 922 ; the total long-term assets under supervision of average for theyear ended december 2014 is 869 ;"}, "exe_ans": 0.57484, "tfidftopn": {"text_17": "long-term assets under supervision increased $ 75 billion , including net inflows of $ 42 billion , primarily in fixed income assets , and net market appreciation of $ 33 billion , primarily in equity and fixed income assets ."}, "program_re": "divide(530, 922)", "model_input": [["table_3", "$ in billions the fixed income of average for theyear ended december 2016 is 578 ; the fixed income of average for theyear ended december 2015 is 530 ; the fixed income of average for theyear ended december 2014 is 499 ;"], ["table_4", "$ in billions the total long-term assets under supervision of average for theyear ended december 2016 is 983 ; the total long-term assets under supervision of average for theyear ended december 2015 is 922 ; the total long-term assets under supervision of average for theyear ended december 2014 is 869 ;"], ["table_6", "$ in billions the total assets under supervision of average for theyear ended december 2016 is $ 1309 ; the total assets under supervision of average for theyear ended december 2015 is $ 1194 ; the total assets under supervision of average for theyear ended december 2014 is $ 1117 ;"]]}, "answers": ["57%"]}, "rejected_source": {"id": "GS/2016/page_79.pdf-1", "qa": {"question": "what percentage of total long-term assets under supervision are comprised of fixed income in 2016?", "answer": "59%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "578", "arg2": "983", "res": "59%"}], "program": "divide(578, 983)", "gold_inds": {"table_3": "$ in billions the fixed income of average for theyear ended december 2016 is 578 ; the fixed income of average for theyear ended december 2015 is 530 ; the fixed income of average for theyear ended december 2014 is 499 ;", "table_4": "$ in billions the total long-term assets under supervision of average for theyear ended december 2016 is 983 ; the total long-term assets under supervision of average for theyear ended december 2015 is 922 ; the total long-term assets under supervision of average for theyear ended december 2014 is 869 ;"}, "exe_ans": 0.588, "tfidftopn": {"text_17": "long-term assets under supervision increased $ 75 billion , including net inflows of $ 42 billion , primarily in fixed income assets , and net market appreciation of $ 33 billion , primarily in equity and fixed income assets ."}, "program_re": "divide(578, 983)", "model_input": [["table_3", "$ in billions the fixed income of average for theyear ended december 2016 is 578 ; the fixed income of average for theyear ended december 2015 is 530 ; the fixed income of average for theyear ended december 2014 is 499 ;"], ["table_4", "$ in billions the total long-term assets under supervision of average for theyear ended december 2016 is 983 ; the total long-term assets under supervision of average for theyear ended december 2015 is 922 ; the total long-term assets under supervision of average for theyear ended december 2014 is 869 ;"], ["table_6", "$ in billions the total assets under supervision of average for theyear ended december 2016 is $ 1309 ; the total assets under supervision of average for theyear ended december 2015 is $ 1194 ; the total assets under supervision of average for theyear ended december 2014 is $ 1117 ;"]]}, "answers": ["59%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000300", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total long-term assets under supervision are comprised of fixed income in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "59%.", "rejected": "57%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total long-term assets under supervision are comprised of fixed income <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of total long-term assets under supervision are comprised of fixed income <TIME>?", "original_question": "what percentage of total long-term assets under supervision are comprised of fixed income in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"57%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "59%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GS/2016/page_79.pdf-1", "qa": {"question": "what percentage of total long-term assets under supervision are comprised of fixed income in 2016?", "answer": "59%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "578", "arg2": "983", "res": "59%"}], "program": "divide(578, 983)", "gold_inds": {"table_3": "$ in billions the fixed income of average for theyear ended december 2016 is 578 ; the fixed income of average for theyear ended december 2015 is 530 ; the fixed income of average for theyear ended december 2014 is 499 ;", "table_4": "$ in billions the total long-term assets under supervision of average for theyear ended december 2016 is 983 ; the total long-term assets under supervision of average for theyear ended december 2015 is 922 ; the total long-term assets under supervision of average for theyear ended december 2014 is 869 ;"}, "exe_ans": 0.588, "tfidftopn": {"text_17": "long-term assets under supervision increased $ 75 billion , including net inflows of $ 42 billion , primarily in fixed income assets , and net market appreciation of $ 33 billion , primarily in equity and fixed income assets ."}, "program_re": "divide(578, 983)", "model_input": [["table_3", "$ in billions the fixed income of average for theyear ended december 2016 is 578 ; the fixed income of average for theyear ended december 2015 is 530 ; the fixed income of average for theyear ended december 2014 is 499 ;"], ["table_4", "$ in billions the total long-term assets under supervision of average for theyear ended december 2016 is 983 ; the total long-term assets under supervision of average for theyear ended december 2015 is 922 ; the total long-term assets under supervision of average for theyear ended december 2014 is 869 ;"], ["table_6", "$ in billions the total assets under supervision of average for theyear ended december 2016 is $ 1309 ; the total assets under supervision of average for theyear ended december 2015 is $ 1194 ; the total assets under supervision of average for theyear ended december 2014 is $ 1117 ;"]]}, "answers": ["59%"]}, "rejected_source": {"id": "GS/2016/page_79.pdf-3", "qa": {"question": "what percentage of total long-term assets under supervision are comprised of fixed income in 2015?", "answer": "57%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "530", "arg2": "922", "res": "57%"}], "program": "divide(530, 922)", "gold_inds": {"table_3": "$ in billions the fixed income of average for theyear ended december 2016 is 578 ; the fixed income of average for theyear ended december 2015 is 530 ; the fixed income of average for theyear ended december 2014 is 499 ;", "table_4": "$ in billions the total long-term assets under supervision of average for theyear ended december 2016 is 983 ; the total long-term assets under supervision of average for theyear ended december 2015 is 922 ; the total long-term assets under supervision of average for theyear ended december 2014 is 869 ;"}, "exe_ans": 0.57484, "tfidftopn": {"text_17": "long-term assets under supervision increased $ 75 billion , including net inflows of $ 42 billion , primarily in fixed income assets , and net market appreciation of $ 33 billion , primarily in equity and fixed income assets ."}, "program_re": "divide(530, 922)", "model_input": [["table_3", "$ in billions the fixed income of average for theyear ended december 2016 is 578 ; the fixed income of average for theyear ended december 2015 is 530 ; the fixed income of average for theyear ended december 2014 is 499 ;"], ["table_4", "$ in billions the total long-term assets under supervision of average for theyear ended december 2016 is 983 ; the total long-term assets under supervision of average for theyear ended december 2015 is 922 ; the total long-term assets under supervision of average for theyear ended december 2014 is 869 ;"], ["table_6", "$ in billions the total assets under supervision of average for theyear ended december 2016 is $ 1309 ; the total assets under supervision of average for theyear ended december 2015 is $ 1194 ; the total assets under supervision of average for theyear ended december 2014 is $ 1117 ;"]]}, "answers": ["57%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000301", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage increase in inventories due to the adoption of lifo in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "5.6%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAP || what is the percentage increase in inventories due to the adoption of lifo <TIME>?", "doc_prefix": "AAP", "base_question": "what is the percentage increase in inventories due to the adoption of lifo <TIME>?", "original_question": "what is the percentage increase in inventories due to the adoption of lifo in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.6%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "6.0%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "AAP/2006/page_85.pdf-2", "qa": {"question": "what is the percentage increase in inventories due to the adoption of lifo in 2005?", "answer": "5.6%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "72789", "arg2": "1294310", "res": "5.6%"}], "program": "divide(72789, 1294310)", "gold_inds": {"table_1": "the inventories at fifo net of december 30 2006 is $ 1380573 ; the inventories at fifo net of december 31 2005 is $ 1294310 ;", "table_2": "the adjustments to state inventories at lifo of december 30 2006 is 82767 ; the adjustments to state inventories at lifo of december 31 2005 is 72789 ;"}, "exe_ans": 0.05624, "tfidftopn": {"table_3": "The inventories at lifo net of december 30 2006 is $ 1463340 ; The inventories at lifo net of december 31 2005 is $ 1367099 ;"}, "program_re": "divide(72789, 1294310)", "model_input": [["table_1", "the inventories at fifo net of december 30 2006 is $ 1380573 ; the inventories at fifo net of december 31 2005 is $ 1294310 ;"], ["table_2", "the adjustments to state inventories at lifo of december 30 2006 is 82767 ; the adjustments to state inventories at lifo of december 31 2005 is 72789 ;"], ["table_3", "the inventories at lifo net of december 30 2006 is $ 1463340 ; the inventories at lifo net of december 31 2005 is $ 1367099 ;"]]}, "answers": ["5.6%"]}, "rejected_source": {"id": "AAP/2006/page_85.pdf-1", "qa": {"question": "what is the percentage increase in inventories due to the adoption of lifo in 2006?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "82767", "arg2": "1380573", "res": "6.0%"}], "program": "divide(82767, 1380573)", "gold_inds": {"table_1": "the inventories at fifo net of december 30 2006 is $ 1380573 ; the inventories at fifo net of december 31 2005 is $ 1294310 ;", "table_2": "the adjustments to state inventories at lifo of december 30 2006 is 82767 ; the adjustments to state inventories at lifo of december 31 2005 is 72789 ;"}, "exe_ans": 0.05995, "tfidftopn": {"table_3": "The inventories at lifo net of december 30 2006 is $ 1463340 ; The inventories at lifo net of december 31 2005 is $ 1367099 ;"}, "program_re": "divide(82767, 1380573)", "model_input": [["table_1", "the inventories at fifo net of december 30 2006 is $ 1380573 ; the inventories at fifo net of december 31 2005 is $ 1294310 ;"], ["table_2", "the adjustments to state inventories at lifo of december 30 2006 is 82767 ; the adjustments to state inventories at lifo of december 31 2005 is 72789 ;"], ["table_3", "the inventories at lifo net of december 30 2006 is $ 1463340 ; the inventories at lifo net of december 31 2005 is $ 1367099 ;"]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000302", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage increase in inventories due to the adoption of lifo in 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "6.0%.", "rejected": "5.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAP || what is the percentage increase in inventories due to the adoption of lifo <TIME>?", "doc_prefix": "AAP", "base_question": "what is the percentage increase in inventories due to the adoption of lifo <TIME>?", "original_question": "what is the percentage increase in inventories due to the adoption of lifo in 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.6%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "6.0%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "AAP/2006/page_85.pdf-1", "qa": {"question": "what is the percentage increase in inventories due to the adoption of lifo in 2006?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "82767", "arg2": "1380573", "res": "6.0%"}], "program": "divide(82767, 1380573)", "gold_inds": {"table_1": "the inventories at fifo net of december 30 2006 is $ 1380573 ; the inventories at fifo net of december 31 2005 is $ 1294310 ;", "table_2": "the adjustments to state inventories at lifo of december 30 2006 is 82767 ; the adjustments to state inventories at lifo of december 31 2005 is 72789 ;"}, "exe_ans": 0.05995, "tfidftopn": {"table_3": "The inventories at lifo net of december 30 2006 is $ 1463340 ; The inventories at lifo net of december 31 2005 is $ 1367099 ;"}, "program_re": "divide(82767, 1380573)", "model_input": [["table_1", "the inventories at fifo net of december 30 2006 is $ 1380573 ; the inventories at fifo net of december 31 2005 is $ 1294310 ;"], ["table_2", "the adjustments to state inventories at lifo of december 30 2006 is 82767 ; the adjustments to state inventories at lifo of december 31 2005 is 72789 ;"], ["table_3", "the inventories at lifo net of december 30 2006 is $ 1463340 ; the inventories at lifo net of december 31 2005 is $ 1367099 ;"]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "AAP/2006/page_85.pdf-2", "qa": {"question": "what is the percentage increase in inventories due to the adoption of lifo in 2005?", "answer": "5.6%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "72789", "arg2": "1294310", "res": "5.6%"}], "program": "divide(72789, 1294310)", "gold_inds": {"table_1": "the inventories at fifo net of december 30 2006 is $ 1380573 ; the inventories at fifo net of december 31 2005 is $ 1294310 ;", "table_2": "the adjustments to state inventories at lifo of december 30 2006 is 82767 ; the adjustments to state inventories at lifo of december 31 2005 is 72789 ;"}, "exe_ans": 0.05624, "tfidftopn": {"table_3": "The inventories at lifo net of december 30 2006 is $ 1463340 ; The inventories at lifo net of december 31 2005 is $ 1367099 ;"}, "program_re": "divide(72789, 1294310)", "model_input": [["table_1", "the inventories at fifo net of december 30 2006 is $ 1380573 ; the inventories at fifo net of december 31 2005 is $ 1294310 ;"], ["table_2", "the adjustments to state inventories at lifo of december 30 2006 is 82767 ; the adjustments to state inventories at lifo of december 31 2005 is 72789 ;"], ["table_3", "the inventories at lifo net of december 30 2006 is $ 1463340 ; the inventories at lifo net of december 31 2005 is $ 1367099 ;"]]}, "answers": ["5.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000303", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total future minimum sponsorship and other payments are scheduled for 2019?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "11%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what percentage of total future minimum sponsorship and other payments are scheduled <TIME>?", "doc_prefix": "UAA", "base_question": "what percentage of total future minimum sponsorship and other payments are scheduled <TIME>?", "original_question": "what percentage of total future minimum sponsorship and other payments are scheduled for 2019?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}], "11%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}]}, "chosen_source": {"id": "UAA/2016/page_83.pdf-2", "qa": {"question": "what percentage of total future minimum sponsorship and other payments are scheduled for 2019?", "answer": "11%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2, 6], "steps": [{"op": "divide2-1", "arg1": "142987", "arg2": "1355605", "res": "11%"}], "program": "divide(142987, 1355605)", "gold_inds": {"text_2": "the amounts listed above do not include additional performance incentives and product supply obligations provided under certain agreements .", "text_6": "in connection with various contracts and agreements , the company has agreed to indemnify counterparties against certain third party claims relating to the infringement of intellectual property rights and other items .", "table_2": "2017 the 2019 of $ 176138 is 142987 ;", "table_6": "2017 the total future minimum sponsorship and other payments of $ 176138 is $ 1355605 ;"}, "exe_ans": 0.10548, "tfidftopn": {}, "program_re": "divide(142987, 1355605)", "model_input": [["table_2", "2017 the 2019 of $ 176138 is 142987 ;"], ["table_6", "2017 the total future minimum sponsorship and other payments of $ 176138 is $ 1355605 ;"], ["text_2", "the amounts listed above do not include additional performance incentives and product supply obligations provided under certain agreements ."], ["text_6", "in connection with various contracts and agreements , the company has agreed to indemnify counterparties against certain third party claims relating to the infringement of intellectual property rights and other items ."]]}, "answers": ["11%"]}, "rejected_source": {"id": "UAA/2016/page_83.pdf-3", "qa": {"question": "what percentage of total future minimum sponsorship and other payments are scheduled for 2018?", "answer": "12%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "166961", "arg2": "1355605", "res": "12%"}], "program": "divide(166961, 1355605)", "gold_inds": {"table_1": "2017 the 2018 of $ 176138 is 166961 ;", "table_6": "2017 the total future minimum sponsorship and other payments of $ 176138 is $ 1355605 ;"}, "exe_ans": 0.12316, "tfidftopn": {"text_1": "total future minimum sponsorship and other payments $ 1355605 the amounts listed above are the minimum compensation obligations and guaranteed royalty fees required to be paid under the company 2019s sponsorship and other marketing agreements ."}, "program_re": "divide(166961, 1355605)", "model_input": [["table_1", "2017 the 2018 of $ 176138 is 166961 ;"], ["table_2", "2017 the 2019 of $ 176138 is 142987 ;"], ["table_6", "2017 the total future minimum sponsorship and other payments of $ 176138 is $ 1355605 ;"]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000304", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total future minimum sponsorship and other payments are scheduled for 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "12%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what percentage of total future minimum sponsorship and other payments are scheduled <TIME>?", "doc_prefix": "UAA", "base_question": "what percentage of total future minimum sponsorship and other payments are scheduled <TIME>?", "original_question": "what percentage of total future minimum sponsorship and other payments are scheduled for 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}], "11%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}]}, "chosen_source": {"id": "UAA/2016/page_83.pdf-3", "qa": {"question": "what percentage of total future minimum sponsorship and other payments are scheduled for 2018?", "answer": "12%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "166961", "arg2": "1355605", "res": "12%"}], "program": "divide(166961, 1355605)", "gold_inds": {"table_1": "2017 the 2018 of $ 176138 is 166961 ;", "table_6": "2017 the total future minimum sponsorship and other payments of $ 176138 is $ 1355605 ;"}, "exe_ans": 0.12316, "tfidftopn": {"text_1": "total future minimum sponsorship and other payments $ 1355605 the amounts listed above are the minimum compensation obligations and guaranteed royalty fees required to be paid under the company 2019s sponsorship and other marketing agreements ."}, "program_re": "divide(166961, 1355605)", "model_input": [["table_1", "2017 the 2018 of $ 176138 is 166961 ;"], ["table_2", "2017 the 2019 of $ 176138 is 142987 ;"], ["table_6", "2017 the total future minimum sponsorship and other payments of $ 176138 is $ 1355605 ;"]]}, "answers": ["12%"]}, "rejected_source": {"id": "UAA/2016/page_83.pdf-2", "qa": {"question": "what percentage of total future minimum sponsorship and other payments are scheduled for 2019?", "answer": "11%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2, 6], "steps": [{"op": "divide2-1", "arg1": "142987", "arg2": "1355605", "res": "11%"}], "program": "divide(142987, 1355605)", "gold_inds": {"text_2": "the amounts listed above do not include additional performance incentives and product supply obligations provided under certain agreements .", "text_6": "in connection with various contracts and agreements , the company has agreed to indemnify counterparties against certain third party claims relating to the infringement of intellectual property rights and other items .", "table_2": "2017 the 2019 of $ 176138 is 142987 ;", "table_6": "2017 the total future minimum sponsorship and other payments of $ 176138 is $ 1355605 ;"}, "exe_ans": 0.10548, "tfidftopn": {}, "program_re": "divide(142987, 1355605)", "model_input": [["table_2", "2017 the 2019 of $ 176138 is 142987 ;"], ["table_6", "2017 the total future minimum sponsorship and other payments of $ 176138 is $ 1355605 ;"], ["text_2", "the amounts listed above do not include additional performance incentives and product supply obligations provided under certain agreements ."], ["text_6", "in connection with various contracts and agreements , the company has agreed to indemnify counterparties against certain third party claims relating to the infringement of intellectual property rights and other items ."]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000305", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of 2007 , in millions?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "1008.5.", "rejected": "830.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of <TIME> , in millions?", "doc_prefix": "AMT", "base_question": "assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of <TIME> , in millions?", "original_question": "assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of 2007 , in millions?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"830.2": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "1008.5": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "AMT/2005/page_84.pdf-4", "qa": {"question": "assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of 2007 , in millions?", "answer": "1008.5", "explanation": "", "ann_table_rows": [], "ann_text_rows": [6], "steps": [{"op": "divide2-1", "arg1": "646560", "arg2": "const_1000", "res": "646.6"}, {"op": "add2-2", "arg1": "#0", "arg2": "183.6", "res": "830.2"}, {"op": "add2-3", "arg1": "#1", "arg2": "178.3", "res": "1008.5"}], "program": "divide(646560, const_1000), add(#0, 183.6), add(#1, 178.3)", "gold_inds": {"text_6": "the company expects to record amortization expense of approximately $ 183.6 million , $ 178.3 million , $ 174.4 million , $ 172.7 million and $ 170.3 million , for the years ended december 31 , 2006 , 2007 , 2008 , 2009 and 2010 , respectively .", "table_5": "the less accumulated amortization of 2005 is -646560 ( 646560 ) ; the less accumulated amortization of 2004 is -517444 ( 517444 ) ;"}, "exe_ans": 1008.46, "tfidftopn": {"table_6": "The other intangible assets net of 2005 is $ 2077312 ; The other intangible assets net of 2004 is $ 985303 ;"}, "program_re": "add(add(divide(646560, const_1000), 183.6), 178.3)", "model_input": [["table_4", "the total of 2005 is 2723872 ; the total of 2004 is 1502747 ;"], ["table_5", "the less accumulated amortization of 2005 is -646560 ( 646560 ) ; the less accumulated amortization of 2004 is -517444 ( 517444 ) ;"], ["text_6", "the company expects to record amortization expense of approximately $ 183.6 million , $ 178.3 million , $ 174.4 million , $ 172.7 million and $ 170.3 million , for the years ended december 31 , 2006 , 2007 , 2008 , 2009 and 2010 , respectively ."]]}, "answers": ["1008.5"]}, "rejected_source": {"id": "AMT/2005/page_84.pdf-1", "qa": {"question": "assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of 2006 , in millions?", "answer": "830.2", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [6], "steps": [{"op": "divide1-1", "arg1": "646560", "arg2": "const_1000", "res": "646.6"}, {"op": "add1-2", "arg1": "#0", "arg2": "183.6", "res": "830.2"}], "program": "divide(646560, const_1000), add(#0, 183.6)", "gold_inds": {"table_5": "the less accumulated amortization of 2005 is -646560 ( 646560 ) ; the less accumulated amortization of 2004 is -517444 ( 517444 ) ;", "text_6": "the company expects to record amortization expense of approximately $ 183.6 million , $ 178.3 million , $ 174.4 million , $ 172.7 million and $ 170.3 million , for the years ended december 31 , 2006 , 2007 , 2008 , 2009 and 2010 , respectively ."}, "exe_ans": 830.16, "tfidftopn": {"table_6": "The other intangible assets net of 2005 is $ 2077312 ; The other intangible assets net of 2004 is $ 985303 ;"}, "program_re": "add(divide(646560, const_1000), 183.6)", "model_input": [["table_4", "the total of 2005 is 2723872 ; the total of 2004 is 1502747 ;"], ["table_5", "the less accumulated amortization of 2005 is -646560 ( 646560 ) ; the less accumulated amortization of 2004 is -517444 ( 517444 ) ;"], ["text_6", "the company expects to record amortization expense of approximately $ 183.6 million , $ 178.3 million , $ 174.4 million , $ 172.7 million and $ 170.3 million , for the years ended december 31 , 2006 , 2007 , 2008 , 2009 and 2010 , respectively ."]]}, "answers": ["830.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000306", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of 2006 , in millions?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "830.2.", "rejected": "1008.5.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of <TIME> , in millions?", "doc_prefix": "AMT", "base_question": "assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of <TIME> , in millions?", "original_question": "assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of 2006 , in millions?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"830.2": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "1008.5": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "AMT/2005/page_84.pdf-1", "qa": {"question": "assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of 2006 , in millions?", "answer": "830.2", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [6], "steps": [{"op": "divide1-1", "arg1": "646560", "arg2": "const_1000", "res": "646.6"}, {"op": "add1-2", "arg1": "#0", "arg2": "183.6", "res": "830.2"}], "program": "divide(646560, const_1000), add(#0, 183.6)", "gold_inds": {"table_5": "the less accumulated amortization of 2005 is -646560 ( 646560 ) ; the less accumulated amortization of 2004 is -517444 ( 517444 ) ;", "text_6": "the company expects to record amortization expense of approximately $ 183.6 million , $ 178.3 million , $ 174.4 million , $ 172.7 million and $ 170.3 million , for the years ended december 31 , 2006 , 2007 , 2008 , 2009 and 2010 , respectively ."}, "exe_ans": 830.16, "tfidftopn": {"table_6": "The other intangible assets net of 2005 is $ 2077312 ; The other intangible assets net of 2004 is $ 985303 ;"}, "program_re": "add(divide(646560, const_1000), 183.6)", "model_input": [["table_4", "the total of 2005 is 2723872 ; the total of 2004 is 1502747 ;"], ["table_5", "the less accumulated amortization of 2005 is -646560 ( 646560 ) ; the less accumulated amortization of 2004 is -517444 ( 517444 ) ;"], ["text_6", "the company expects to record amortization expense of approximately $ 183.6 million , $ 178.3 million , $ 174.4 million , $ 172.7 million and $ 170.3 million , for the years ended december 31 , 2006 , 2007 , 2008 , 2009 and 2010 , respectively ."]]}, "answers": ["830.2"]}, "rejected_source": {"id": "AMT/2005/page_84.pdf-4", "qa": {"question": "assuming that intangible asset will be sold , what will be the accumulated deprecation at the end of 2007 , in millions?", "answer": "1008.5", "explanation": "", "ann_table_rows": [], "ann_text_rows": [6], "steps": [{"op": "divide2-1", "arg1": "646560", "arg2": "const_1000", "res": "646.6"}, {"op": "add2-2", "arg1": "#0", "arg2": "183.6", "res": "830.2"}, {"op": "add2-3", "arg1": "#1", "arg2": "178.3", "res": "1008.5"}], "program": "divide(646560, const_1000), add(#0, 183.6), add(#1, 178.3)", "gold_inds": {"text_6": "the company expects to record amortization expense of approximately $ 183.6 million , $ 178.3 million , $ 174.4 million , $ 172.7 million and $ 170.3 million , for the years ended december 31 , 2006 , 2007 , 2008 , 2009 and 2010 , respectively .", "table_5": "the less accumulated amortization of 2005 is -646560 ( 646560 ) ; the less accumulated amortization of 2004 is -517444 ( 517444 ) ;"}, "exe_ans": 1008.46, "tfidftopn": {"table_6": "The other intangible assets net of 2005 is $ 2077312 ; The other intangible assets net of 2004 is $ 985303 ;"}, "program_re": "add(add(divide(646560, const_1000), 183.6), 178.3)", "model_input": [["table_4", "the total of 2005 is 2723872 ; the total of 2004 is 1502747 ;"], ["table_5", "the less accumulated amortization of 2005 is -646560 ( 646560 ) ; the less accumulated amortization of 2004 is -517444 ( 517444 ) ;"], ["text_6", "the company expects to record amortization expense of approximately $ 183.6 million , $ 178.3 million , $ 174.4 million , $ 172.7 million and $ 170.3 million , for the years ended december 31 , 2006 , 2007 , 2008 , 2009 and 2010 , respectively ."]]}, "answers": ["1008.5"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000307", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "502.08%.", "rejected": "538.56%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"538.56%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "502.08%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "DISCA/2013/page_60.pdf-2", "qa": {"question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , 2013?", "answer": "502.08%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "602.08", "arg2": "const_100", "res": "502.08"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "502.08%"}], "program": "subtract(602.08, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of december 312008 is $ 100.00 ; the discb of december 312009 is $ 207.32 ; the discb of december 312010 is $ 287.71 ; the discb of december 312011 is $ 277.03 ; the discb of december 312012 is $ 416.52 ; the discb of december 312013 is $ 602.08 ;"}, "exe_ans": 5.0208, "tfidftopn": {"table_1": "The disca of december 312008 is $ 100.00 ; The disca of december 312009 is $ 216.60 ; The disca of december 312010 is $ 294.49 ; The disca of december 312011 is $ 289.34 ; The disca of december 312012 is $ 448.31 ; The disca of december 312013 is $ 638.56 ;", "text_5": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , scripps network interactive , inc. , time warner , inc. , twenty-first century fox , inc ."}, "program_re": "divide(subtract(602.08, const_100), const_100)", "model_input": [["text_8", "the graph assumes $ 100 originally invested on december 31 , 2008 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2009 , 2010 , 2011 , 2012 and 2013 ."], ["table_1", "the disca of december 312008 is $ 100.00 ; the disca of december 312009 is $ 216.60 ; the disca of december 312010 is $ 294.49 ; the disca of december 312011 is $ 289.34 ; the disca of december 312012 is $ 448.31 ; the disca of december 312013 is $ 638.56 ;"], ["table_2", "the discb of december 312008 is $ 100.00 ; the discb of december 312009 is $ 207.32 ; the discb of december 312010 is $ 287.71 ; the discb of december 312011 is $ 277.03 ; the discb of december 312012 is $ 416.52 ; the discb of december 312013 is $ 602.08 ;"]]}, "answers": ["502.08%"]}, "rejected_source": {"id": "DISCA/2013/page_60.pdf-1", "qa": {"question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , 2013?", "answer": "538.56%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "638.56", "arg2": "const_100", "res": "538.56"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "538.56%"}], "program": "subtract(638.56, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of december 312008 is $ 100.00 ; the disca of december 312009 is $ 216.60 ; the disca of december 312010 is $ 294.49 ; the disca of december 312011 is $ 289.34 ; the disca of december 312012 is $ 448.31 ; the disca of december 312013 is $ 638.56 ;"}, "exe_ans": 5.3856, "tfidftopn": {"text_5": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , scripps network interactive , inc. , time warner , inc. , twenty-first century fox , inc .", "text_3": "there were no repurchases of our series a and b common stock during the three months ended december 31 , 2013 ."}, "program_re": "divide(subtract(638.56, const_100), const_100)", "model_input": [["text_8", "the graph assumes $ 100 originally invested on december 31 , 2008 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2009 , 2010 , 2011 , 2012 and 2013 ."], ["table_1", "the disca of december 312008 is $ 100.00 ; the disca of december 312009 is $ 216.60 ; the disca of december 312010 is $ 294.49 ; the disca of december 312011 is $ 289.34 ; the disca of december 312012 is $ 448.31 ; the disca of december 312013 is $ 638.56 ;"], ["table_2", "the discb of december 312008 is $ 100.00 ; the discb of december 312009 is $ 207.32 ; the discb of december 312010 is $ 287.71 ; the discb of december 312011 is $ 277.03 ; the discb of december 312012 is $ 416.52 ; the discb of december 312013 is $ 602.08 ;"]]}, "answers": ["538.56%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000308", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "538.56%.", "rejected": "502.08%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"538.56%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "502.08%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "DISCA/2013/page_60.pdf-1", "qa": {"question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , 2013?", "answer": "538.56%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "638.56", "arg2": "const_100", "res": "538.56"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "538.56%"}], "program": "subtract(638.56, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of december 312008 is $ 100.00 ; the disca of december 312009 is $ 216.60 ; the disca of december 312010 is $ 294.49 ; the disca of december 312011 is $ 289.34 ; the disca of december 312012 is $ 448.31 ; the disca of december 312013 is $ 638.56 ;"}, "exe_ans": 5.3856, "tfidftopn": {"text_5": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , scripps network interactive , inc. , time warner , inc. , twenty-first century fox , inc .", "text_3": "there were no repurchases of our series a and b common stock during the three months ended december 31 , 2013 ."}, "program_re": "divide(subtract(638.56, const_100), const_100)", "model_input": [["text_8", "the graph assumes $ 100 originally invested on december 31 , 2008 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2009 , 2010 , 2011 , 2012 and 2013 ."], ["table_1", "the disca of december 312008 is $ 100.00 ; the disca of december 312009 is $ 216.60 ; the disca of december 312010 is $ 294.49 ; the disca of december 312011 is $ 289.34 ; the disca of december 312012 is $ 448.31 ; the disca of december 312013 is $ 638.56 ;"], ["table_2", "the discb of december 312008 is $ 100.00 ; the discb of december 312009 is $ 207.32 ; the discb of december 312010 is $ 287.71 ; the discb of december 312011 is $ 277.03 ; the discb of december 312012 is $ 416.52 ; the discb of december 312013 is $ 602.08 ;"]]}, "answers": ["538.56%"]}, "rejected_source": {"id": "DISCA/2013/page_60.pdf-2", "qa": {"question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 21 , 2013?", "answer": "502.08%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "602.08", "arg2": "const_100", "res": "502.08"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "502.08%"}], "program": "subtract(602.08, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of december 312008 is $ 100.00 ; the discb of december 312009 is $ 207.32 ; the discb of december 312010 is $ 287.71 ; the discb of december 312011 is $ 277.03 ; the discb of december 312012 is $ 416.52 ; the discb of december 312013 is $ 602.08 ;"}, "exe_ans": 5.0208, "tfidftopn": {"table_1": "The disca of december 312008 is $ 100.00 ; The disca of december 312009 is $ 216.60 ; The disca of december 312010 is $ 294.49 ; The disca of december 312011 is $ 289.34 ; The disca of december 312012 is $ 448.31 ; The disca of december 312013 is $ 638.56 ;", "text_5": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , scripps network interactive , inc. , time warner , inc. , twenty-first century fox , inc ."}, "program_re": "divide(subtract(602.08, const_100), const_100)", "model_input": [["text_8", "the graph assumes $ 100 originally invested on december 31 , 2008 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2009 , 2010 , 2011 , 2012 and 2013 ."], ["table_1", "the disca of december 312008 is $ 100.00 ; the disca of december 312009 is $ 216.60 ; the disca of december 312010 is $ 294.49 ; the disca of december 312011 is $ 289.34 ; the disca of december 312012 is $ 448.31 ; the disca of december 312013 is $ 638.56 ;"], ["table_2", "the discb of december 312008 is $ 100.00 ; the discb of december 312009 is $ 207.32 ; the discb of december 312010 is $ 287.71 ; the discb of december 312011 is $ 277.03 ; the discb of december 312012 is $ 416.52 ; the discb of december 312013 is $ 602.08 ;"]]}, "answers": ["502.08%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000309", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for mst in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "14.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for mst <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for mst <TIME>?", "original_question": "what is the growth rate in operating profit for mst in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-9.5%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "14.3%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "LMT/2012/page_46.pdf-3", "qa": {"question": "what is the growth rate in operating profit for mst in 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "645", "arg2": "713", "res": "-68"}, {"op": "divide2-2", "arg1": "#0", "arg2": "713", "res": "-9.5%"}], "program": "subtract(645, 713), divide(#0, 713)", "gold_inds": {"table_2": "the operating profit of 2012 is 737 ; the operating profit of 2011 is 645 ; the operating profit of 2010 is 713 ;"}, "exe_ans": -0.09537, "tfidftopn": {"text_17": "mst 2019s operating profit for 2012 increased $ 92 million , or 14% ( 14 % ) , compared to 2011 .", "text_5": "adjustments not related to volume , including net profit rate adjustments described above , were approximately $ 35 million higher in 2011 compared to 2010 ."}, "program_re": "divide(subtract(645, 713), 713)", "model_input": [["table_2", "the operating profit of 2012 is 737 ; the operating profit of 2011 is 645 ; the operating profit of 2010 is 713 ;"], ["table_3", "the operating margins of 2012 is 9.7% ( 9.7 % ) ; the operating margins of 2011 is 9.0% ( 9.0 % ) ; the operating margins of 2010 is 9.6% ( 9.6 % ) ;"], ["text_17", "mst 2019s operating profit for 2012 increased $ 92 million , or 14% ( 14 % ) , compared to 2011 ."]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "LMT/2012/page_46.pdf-2", "qa": {"question": "what is the growth rate in operating profit for mst in 2012?", "answer": "14.3%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "737", "arg2": "645", "res": "92"}, {"op": "divide1-2", "arg1": "#0", "arg2": "645", "res": "14.3%"}], "program": "subtract(737, 645), divide(#0, 645)", "gold_inds": {"table_2": "the operating profit of 2012 is 737 ; the operating profit of 2011 is 645 ; the operating profit of 2010 is 713 ;"}, "exe_ans": 0.14264, "tfidftopn": {"text_17": "mst 2019s operating profit for 2012 increased $ 92 million , or 14% ( 14 % ) , compared to 2011 .", "text_10": "operating profit and margin are expected to be comparable with 2012 results ."}, "program_re": "divide(subtract(737, 645), 645)", "model_input": [["table_2", "the operating profit of 2012 is 737 ; the operating profit of 2011 is 645 ; the operating profit of 2010 is 713 ;"], ["table_3", "the operating margins of 2012 is 9.7% ( 9.7 % ) ; the operating margins of 2011 is 9.0% ( 9.0 % ) ; the operating margins of 2010 is 9.6% ( 9.6 % ) ;"], ["text_17", "mst 2019s operating profit for 2012 increased $ 92 million , or 14% ( 14 % ) , compared to 2011 ."]]}, "answers": ["14.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000310", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for mst in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "14.3%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for mst <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for mst <TIME>?", "original_question": "what is the growth rate in operating profit for mst in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-9.5%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "14.3%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "LMT/2012/page_46.pdf-2", "qa": {"question": "what is the growth rate in operating profit for mst in 2012?", "answer": "14.3%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "737", "arg2": "645", "res": "92"}, {"op": "divide1-2", "arg1": "#0", "arg2": "645", "res": "14.3%"}], "program": "subtract(737, 645), divide(#0, 645)", "gold_inds": {"table_2": "the operating profit of 2012 is 737 ; the operating profit of 2011 is 645 ; the operating profit of 2010 is 713 ;"}, "exe_ans": 0.14264, "tfidftopn": {"text_17": "mst 2019s operating profit for 2012 increased $ 92 million , or 14% ( 14 % ) , compared to 2011 .", "text_10": "operating profit and margin are expected to be comparable with 2012 results ."}, "program_re": "divide(subtract(737, 645), 645)", "model_input": [["table_2", "the operating profit of 2012 is 737 ; the operating profit of 2011 is 645 ; the operating profit of 2010 is 713 ;"], ["table_3", "the operating margins of 2012 is 9.7% ( 9.7 % ) ; the operating margins of 2011 is 9.0% ( 9.0 % ) ; the operating margins of 2010 is 9.6% ( 9.6 % ) ;"], ["text_17", "mst 2019s operating profit for 2012 increased $ 92 million , or 14% ( 14 % ) , compared to 2011 ."]]}, "answers": ["14.3%"]}, "rejected_source": {"id": "LMT/2012/page_46.pdf-3", "qa": {"question": "what is the growth rate in operating profit for mst in 2011?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "645", "arg2": "713", "res": "-68"}, {"op": "divide2-2", "arg1": "#0", "arg2": "713", "res": "-9.5%"}], "program": "subtract(645, 713), divide(#0, 713)", "gold_inds": {"table_2": "the operating profit of 2012 is 737 ; the operating profit of 2011 is 645 ; the operating profit of 2010 is 713 ;"}, "exe_ans": -0.09537, "tfidftopn": {"text_17": "mst 2019s operating profit for 2012 increased $ 92 million , or 14% ( 14 % ) , compared to 2011 .", "text_5": "adjustments not related to volume , including net profit rate adjustments described above , were approximately $ 35 million higher in 2011 compared to 2010 ."}, "program_re": "divide(subtract(645, 713), 713)", "model_input": [["table_2", "the operating profit of 2012 is 737 ; the operating profit of 2011 is 645 ; the operating profit of 2010 is 713 ;"], ["table_3", "the operating margins of 2012 is 9.7% ( 9.7 % ) ; the operating margins of 2011 is 9.0% ( 9.0 % ) ; the operating margins of 2010 is 9.6% ( 9.6 % ) ;"], ["text_17", "mst 2019s operating profit for 2012 increased $ 92 million , or 14% ( 14 % ) , compared to 2011 ."]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000311", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in receivables from or ( payables to ) the money pool from 2001 to 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "395%.", "rejected": "456%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in receivables from or ( payables to ) the money pool <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in receivables from or ( payables to ) the money pool <TIME>?", "original_question": "what is the percent change in receivables from or ( payables to ) the money pool from 2001 to 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"395%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "456%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}]}, "chosen_source": {"id": "ETR/2004/page_216.pdf-4", "qa": {"question": "what is the percent change in receivables from or ( payables to ) the money pool from 2001 to 2002?", "answer": "395%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "18854", "arg2": "3812", "res": "15042"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3812", "res": "395%"}], "program": "subtract(18854, 3812), divide(#0, 3812)", "gold_inds": {"table_2": "2004 the $ 40549 of 2003 is ( $ 41317 ) ; the $ 40549 of 2002 is $ 18854 ; the $ 40549 of 2001 is $ 3812 ;"}, "exe_ans": 3.94596, "tfidftopn": {"text_4": "entergy louisiana's receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: .", "text_6": "see note 4 to the domestic utility companies and system energy financial statements for a description of the money pool ."}, "program_re": "divide(subtract(18854, 3812), 3812)", "model_input": [["text_4", "entergy louisiana's receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: ."], ["table_1", "2004 the ( in thousands ) of 2003 is ( in thousands ) ; the ( in thousands ) of 2002 is ( in thousands ) ; the ( in thousands ) of 2001 is ( in thousands ) ;"], ["table_2", "2004 the $ 40549 of 2003 is ( $ 41317 ) ; the $ 40549 of 2002 is $ 18854 ; the $ 40549 of 2001 is $ 3812 ;"]]}, "answers": ["395%"]}, "rejected_source": {"id": "ETR/2004/page_163.pdf-5", "qa": {"question": "what is the percent change in receivables from or ( payables to ) the money pool from 2001 to 2002?", "answer": "456%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [13], "steps": [{"op": "minus2-1", "arg1": "23794", "arg2": "4279", "res": "19515"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4279", "res": "456%"}], "program": "subtract(23794, 4279), divide(#0, 4279)", "gold_inds": {"table_2": "2004 the $ 23561 of 2003 is ( $ 69153 ) ; the $ 23561 of 2002 is $ 4279 ; the $ 23561 of 2001 is $ 23794 ;", "text_13": "entergy arkansas' receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: ."}, "exe_ans": 4.56065, "tfidftopn": {"text_2": "this increase was substantially offset by money pool activity ."}, "program_re": "divide(subtract(23794, 4279), 4279)", "model_input": [["text_13", "entergy arkansas' receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: ."], ["table_1", "2004 the ( in thousands ) of 2003 is ( in thousands ) ; the ( in thousands ) of 2002 is ( in thousands ) ; the ( in thousands ) of 2001 is ( in thousands ) ;"], ["table_2", "2004 the $ 23561 of 2003 is ( $ 69153 ) ; the $ 23561 of 2002 is $ 4279 ; the $ 23561 of 2001 is $ 23794 ;"]]}, "answers": ["456%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000312", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in receivables from or ( payables to ) the money pool from 2001 to 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "456%.", "rejected": "395%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the percent change in receivables from or ( payables to ) the money pool <TIME>?", "doc_prefix": "ETR", "base_question": "what is the percent change in receivables from or ( payables to ) the money pool <TIME>?", "original_question": "what is the percent change in receivables from or ( payables to ) the money pool from 2001 to 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"395%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "456%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}]}, "chosen_source": {"id": "ETR/2004/page_163.pdf-5", "qa": {"question": "what is the percent change in receivables from or ( payables to ) the money pool from 2001 to 2002?", "answer": "456%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [13], "steps": [{"op": "minus2-1", "arg1": "23794", "arg2": "4279", "res": "19515"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4279", "res": "456%"}], "program": "subtract(23794, 4279), divide(#0, 4279)", "gold_inds": {"table_2": "2004 the $ 23561 of 2003 is ( $ 69153 ) ; the $ 23561 of 2002 is $ 4279 ; the $ 23561 of 2001 is $ 23794 ;", "text_13": "entergy arkansas' receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: ."}, "exe_ans": 4.56065, "tfidftopn": {"text_2": "this increase was substantially offset by money pool activity ."}, "program_re": "divide(subtract(23794, 4279), 4279)", "model_input": [["text_13", "entergy arkansas' receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: ."], ["table_1", "2004 the ( in thousands ) of 2003 is ( in thousands ) ; the ( in thousands ) of 2002 is ( in thousands ) ; the ( in thousands ) of 2001 is ( in thousands ) ;"], ["table_2", "2004 the $ 23561 of 2003 is ( $ 69153 ) ; the $ 23561 of 2002 is $ 4279 ; the $ 23561 of 2001 is $ 23794 ;"]]}, "answers": ["456%"]}, "rejected_source": {"id": "ETR/2004/page_216.pdf-4", "qa": {"question": "what is the percent change in receivables from or ( payables to ) the money pool from 2001 to 2002?", "answer": "395%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "18854", "arg2": "3812", "res": "15042"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3812", "res": "395%"}], "program": "subtract(18854, 3812), divide(#0, 3812)", "gold_inds": {"table_2": "2004 the $ 40549 of 2003 is ( $ 41317 ) ; the $ 40549 of 2002 is $ 18854 ; the $ 40549 of 2001 is $ 3812 ;"}, "exe_ans": 3.94596, "tfidftopn": {"text_4": "entergy louisiana's receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: .", "text_6": "see note 4 to the domestic utility companies and system energy financial statements for a description of the money pool ."}, "program_re": "divide(subtract(18854, 3812), 3812)", "model_input": [["text_4", "entergy louisiana's receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: ."], ["table_1", "2004 the ( in thousands ) of 2003 is ( in thousands ) ; the ( in thousands ) of 2002 is ( in thousands ) ; the ( in thousands ) of 2001 is ( in thousands ) ;"], ["table_2", "2004 the $ 40549 of 2003 is ( $ 41317 ) ; the $ 40549 of 2002 is $ 18854 ; the $ 40549 of 2001 is $ 3812 ;"]]}, "answers": ["395%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000313", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: how much did the company 2019s valuation allowance decrease from 2010 to 2012?\nReference time interval: 2010-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-23.8%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AWK || how much did the company 2019s valuation allowance decrease <TIME>?", "doc_prefix": "AWK", "base_question": "how much did the company 2019s valuation allowance decrease <TIME>?", "original_question": "how much did the company 2019s valuation allowance decrease from 2010 to 2012?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2010 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-23.8%": [{"start": "2010-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2010 to 2012"}], "-9.5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AWK/2012/page_118.pdf-3", "qa": {"question": "how much did the company 2019s valuation allowance decrease from 2010 to 2012?", "answer": "-23.8%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "19520", "arg2": "25621", "res": "-6101"}, {"op": "divide1-2", "arg1": "#0", "arg2": "25621", "res": "-23.8%"}], "program": "subtract(19520, 25621), divide(#0, 25621)", "gold_inds": {"table_9": "balance at january 1 2010 the balance at december 31 2012 of $ 25621 is $ 19520 ;"}, "exe_ans": -0.23812, "tfidftopn": {"text_0": "the following table summarizes the changes in the company 2019s valuation allowance: .", "table_3": "balance at january 1 2010 The balance at december 31 2010 of $ 25621 is $ 23788 ;"}, "program_re": "divide(subtract(19520, 25621), 25621)", "model_input": [["table_0", "balance at january 1 2010 the balance at january 1 2010 of $ 25621 is $ 25621 ;"], ["table_3", "balance at january 1 2010 the balance at december 31 2010 of $ 25621 is $ 23788 ;"], ["table_9", "balance at january 1 2010 the balance at december 31 2012 of $ 25621 is $ 19520 ;"]]}, "answers": ["-23.8%"]}, "rejected_source": {"id": "AWK/2012/page_118.pdf-2", "qa": {"question": "how much did the company 2019s valuation allowance decrease from 2011 to 2012?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [6, 9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "19520", "arg2": "21579", "res": "-2059"}, {"op": "divide2-2", "arg1": "#0", "arg2": "21579", "res": "-9.5%"}], "program": "subtract(19520, 21579), divide(#0, 21579)", "gold_inds": {"table_6": "balance at january 1 2010 the balance at december 31 2011 of $ 25621 is $ 21579 ;", "table_9": "balance at january 1 2010 the balance at december 31 2012 of $ 25621 is $ 19520 ;"}, "exe_ans": -0.09542, "tfidftopn": {"text_0": "the following table summarizes the changes in the company 2019s valuation allowance: ."}, "program_re": "divide(subtract(19520, 21579), 21579)", "model_input": [["table_3", "balance at january 1 2010 the balance at december 31 2010 of $ 25621 is $ 23788 ;"], ["table_6", "balance at january 1 2010 the balance at december 31 2011 of $ 25621 is $ 21579 ;"], ["table_9", "balance at january 1 2010 the balance at december 31 2012 of $ 25621 is $ 19520 ;"]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000314", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: how much did the company 2019s valuation allowance decrease from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "-23.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AWK || how much did the company 2019s valuation allowance decrease <TIME>?", "doc_prefix": "AWK", "base_question": "how much did the company 2019s valuation allowance decrease <TIME>?", "original_question": "how much did the company 2019s valuation allowance decrease from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-23.8%": [{"start": "2010-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2010 to 2012"}], "-9.5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AWK/2012/page_118.pdf-2", "qa": {"question": "how much did the company 2019s valuation allowance decrease from 2011 to 2012?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [6, 9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "19520", "arg2": "21579", "res": "-2059"}, {"op": "divide2-2", "arg1": "#0", "arg2": "21579", "res": "-9.5%"}], "program": "subtract(19520, 21579), divide(#0, 21579)", "gold_inds": {"table_6": "balance at january 1 2010 the balance at december 31 2011 of $ 25621 is $ 21579 ;", "table_9": "balance at january 1 2010 the balance at december 31 2012 of $ 25621 is $ 19520 ;"}, "exe_ans": -0.09542, "tfidftopn": {"text_0": "the following table summarizes the changes in the company 2019s valuation allowance: ."}, "program_re": "divide(subtract(19520, 21579), 21579)", "model_input": [["table_3", "balance at january 1 2010 the balance at december 31 2010 of $ 25621 is $ 23788 ;"], ["table_6", "balance at january 1 2010 the balance at december 31 2011 of $ 25621 is $ 21579 ;"], ["table_9", "balance at january 1 2010 the balance at december 31 2012 of $ 25621 is $ 19520 ;"]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "AWK/2012/page_118.pdf-3", "qa": {"question": "how much did the company 2019s valuation allowance decrease from 2010 to 2012?", "answer": "-23.8%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "19520", "arg2": "25621", "res": "-6101"}, {"op": "divide1-2", "arg1": "#0", "arg2": "25621", "res": "-23.8%"}], "program": "subtract(19520, 25621), divide(#0, 25621)", "gold_inds": {"table_9": "balance at january 1 2010 the balance at december 31 2012 of $ 25621 is $ 19520 ;"}, "exe_ans": -0.23812, "tfidftopn": {"text_0": "the following table summarizes the changes in the company 2019s valuation allowance: .", "table_3": "balance at january 1 2010 The balance at december 31 2010 of $ 25621 is $ 23788 ;"}, "program_re": "divide(subtract(19520, 25621), 25621)", "model_input": [["table_0", "balance at january 1 2010 the balance at january 1 2010 of $ 25621 is $ 25621 ;"], ["table_3", "balance at january 1 2010 the balance at december 31 2010 of $ 25621 is $ 23788 ;"], ["table_9", "balance at january 1 2010 the balance at december 31 2012 of $ 25621 is $ 19520 ;"]]}, "answers": ["-23.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000315", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-124.", "rejected": "-31.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016?", "answer": "-124", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1542", "arg2": "1666", "res": "-124"}], "program": "subtract(1542, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -124.0, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "subtract(1542, 1666)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_7", "the other of amount ( in millions ) is -4 ( 4 ) ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-124"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-2", "qa": {"question": "what is the net change in net revenue during 2008?", "answer": "-31.9", "explanation": "", "ann_table_rows": [2, 3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "-17.1", "arg2": "-12.0", "res": "-29.1"}, {"op": "add2-2", "arg1": "#0", "arg2": "-7.4", "res": "-36.5"}, {"op": "add2-3", "arg1": "#1", "arg2": "4.6", "res": "-31.9"}], "program": "add(-17.1, -12.0), add(#0, -7.4), add(#1, 4.6)", "gold_inds": {"table_2": "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;", "table_3": "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;", "table_4": "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;", "table_5": "the other of amount ( in millions ) is 4.6 ;"}, "exe_ans": -31.9, "tfidftopn": {}, "program_re": "add(add(add(-17.1, -12.0), -7.4), 4.6)", "model_input": [["table_2", "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;"], ["table_3", "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_5", "the other of amount ( in millions ) is 4.6 ;"]]}, "answers": ["-31.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000316", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-124.", "rejected": "-558.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016?", "answer": "-124", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1542", "arg2": "1666", "res": "-124"}], "program": "subtract(1542, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -124.0, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "subtract(1542, 1666)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_7", "the other of amount ( in millions ) is -4 ( 4 ) ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-124"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-4", "qa": {"question": "what is the net change in net revenue during 2015?", "answer": "-558", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1666", "arg2": "2224", "res": "-558"}], "program": "subtract(1666, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -558.0, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "subtract(1666, 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_5", "the other of amount ( in millions ) is 37 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"]]}, "answers": ["-558"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000317", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-124.", "rejected": "-73.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016?", "answer": "-124", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1542", "arg2": "1666", "res": "-124"}], "program": "subtract(1542, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -124.0, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "subtract(1542, 1666)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_7", "the other of amount ( in millions ) is -4 ( 4 ) ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-124"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-2", "qa": {"question": "what is the net change in net revenue during 2017?", "answer": "-73", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1469", "arg2": "1542", "res": "-73"}], "program": "subtract(1469, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -73.0, "tfidftopn": {"text_8": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "subtract(1469, 1542)", "model_input": [["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_6", "the other of amount ( in millions ) is 9 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-73"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000318", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-124.", "rejected": "49.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_18.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016?", "answer": "-124", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1542", "arg2": "1666", "res": "-124"}], "program": "subtract(1542, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -124.0, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "subtract(1542, 1666)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_7", "the other of amount ( in millions ) is -4 ( 4 ) ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-124"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-2", "qa": {"question": "what is the net change in net revenue during 2007?", "answer": "49", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}], "program": "subtract(991.1, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 49.0, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "subtract(991.1, 942.1)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_6", "the other of amount ( in millions ) is 3.9 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["49"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000319", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-31.9.", "rejected": "-124.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-2", "qa": {"question": "what is the net change in net revenue during 2008?", "answer": "-31.9", "explanation": "", "ann_table_rows": [2, 3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "-17.1", "arg2": "-12.0", "res": "-29.1"}, {"op": "add2-2", "arg1": "#0", "arg2": "-7.4", "res": "-36.5"}, {"op": "add2-3", "arg1": "#1", "arg2": "4.6", "res": "-31.9"}], "program": "add(-17.1, -12.0), add(#0, -7.4), add(#1, 4.6)", "gold_inds": {"table_2": "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;", "table_3": "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;", "table_4": "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;", "table_5": "the other of amount ( in millions ) is 4.6 ;"}, "exe_ans": -31.9, "tfidftopn": {}, "program_re": "add(add(add(-17.1, -12.0), -7.4), 4.6)", "model_input": [["table_2", "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;"], ["table_3", "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_5", "the other of amount ( in millions ) is 4.6 ;"]]}, "answers": ["-31.9"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016?", "answer": "-124", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1542", "arg2": "1666", "res": "-124"}], "program": "subtract(1542, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -124.0, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "subtract(1542, 1666)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_7", "the other of amount ( in millions ) is -4 ( 4 ) ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-124"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000320", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-31.9.", "rejected": "-558.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-2", "qa": {"question": "what is the net change in net revenue during 2008?", "answer": "-31.9", "explanation": "", "ann_table_rows": [2, 3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "-17.1", "arg2": "-12.0", "res": "-29.1"}, {"op": "add2-2", "arg1": "#0", "arg2": "-7.4", "res": "-36.5"}, {"op": "add2-3", "arg1": "#1", "arg2": "4.6", "res": "-31.9"}], "program": "add(-17.1, -12.0), add(#0, -7.4), add(#1, 4.6)", "gold_inds": {"table_2": "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;", "table_3": "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;", "table_4": "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;", "table_5": "the other of amount ( in millions ) is 4.6 ;"}, "exe_ans": -31.9, "tfidftopn": {}, "program_re": "add(add(add(-17.1, -12.0), -7.4), 4.6)", "model_input": [["table_2", "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;"], ["table_3", "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_5", "the other of amount ( in millions ) is 4.6 ;"]]}, "answers": ["-31.9"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-4", "qa": {"question": "what is the net change in net revenue during 2015?", "answer": "-558", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1666", "arg2": "2224", "res": "-558"}], "program": "subtract(1666, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -558.0, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "subtract(1666, 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_5", "the other of amount ( in millions ) is 37 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"]]}, "answers": ["-558"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000321", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-31.9.", "rejected": "-73.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-2", "qa": {"question": "what is the net change in net revenue during 2008?", "answer": "-31.9", "explanation": "", "ann_table_rows": [2, 3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "-17.1", "arg2": "-12.0", "res": "-29.1"}, {"op": "add2-2", "arg1": "#0", "arg2": "-7.4", "res": "-36.5"}, {"op": "add2-3", "arg1": "#1", "arg2": "4.6", "res": "-31.9"}], "program": "add(-17.1, -12.0), add(#0, -7.4), add(#1, 4.6)", "gold_inds": {"table_2": "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;", "table_3": "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;", "table_4": "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;", "table_5": "the other of amount ( in millions ) is 4.6 ;"}, "exe_ans": -31.9, "tfidftopn": {}, "program_re": "add(add(add(-17.1, -12.0), -7.4), 4.6)", "model_input": [["table_2", "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;"], ["table_3", "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_5", "the other of amount ( in millions ) is 4.6 ;"]]}, "answers": ["-31.9"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-2", "qa": {"question": "what is the net change in net revenue during 2017?", "answer": "-73", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1469", "arg2": "1542", "res": "-73"}], "program": "subtract(1469, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -73.0, "tfidftopn": {"text_8": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "subtract(1469, 1542)", "model_input": [["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_6", "the other of amount ( in millions ) is 9 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-73"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000322", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-31.9.", "rejected": "49.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_313.pdf-2", "qa": {"question": "what is the net change in net revenue during 2008?", "answer": "-31.9", "explanation": "", "ann_table_rows": [2, 3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "-17.1", "arg2": "-12.0", "res": "-29.1"}, {"op": "add2-2", "arg1": "#0", "arg2": "-7.4", "res": "-36.5"}, {"op": "add2-3", "arg1": "#1", "arg2": "4.6", "res": "-31.9"}], "program": "add(-17.1, -12.0), add(#0, -7.4), add(#1, 4.6)", "gold_inds": {"table_2": "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;", "table_3": "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;", "table_4": "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;", "table_5": "the other of amount ( in millions ) is 4.6 ;"}, "exe_ans": -31.9, "tfidftopn": {}, "program_re": "add(add(add(-17.1, -12.0), -7.4), 4.6)", "model_input": [["table_2", "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;"], ["table_3", "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_5", "the other of amount ( in millions ) is 4.6 ;"]]}, "answers": ["-31.9"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-2", "qa": {"question": "what is the net change in net revenue during 2007?", "answer": "49", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}], "program": "subtract(991.1, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 49.0, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "subtract(991.1, 942.1)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_6", "the other of amount ( in millions ) is 3.9 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["49"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000323", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-558.", "rejected": "-124.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-4", "qa": {"question": "what is the net change in net revenue during 2015?", "answer": "-558", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1666", "arg2": "2224", "res": "-558"}], "program": "subtract(1666, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -558.0, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "subtract(1666, 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_5", "the other of amount ( in millions ) is 37 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"]]}, "answers": ["-558"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016?", "answer": "-124", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1542", "arg2": "1666", "res": "-124"}], "program": "subtract(1542, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -124.0, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "subtract(1542, 1666)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_7", "the other of amount ( in millions ) is -4 ( 4 ) ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-124"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000324", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-558.", "rejected": "-31.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-4", "qa": {"question": "what is the net change in net revenue during 2015?", "answer": "-558", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1666", "arg2": "2224", "res": "-558"}], "program": "subtract(1666, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -558.0, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "subtract(1666, 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_5", "the other of amount ( in millions ) is 37 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"]]}, "answers": ["-558"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-2", "qa": {"question": "what is the net change in net revenue during 2008?", "answer": "-31.9", "explanation": "", "ann_table_rows": [2, 3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "-17.1", "arg2": "-12.0", "res": "-29.1"}, {"op": "add2-2", "arg1": "#0", "arg2": "-7.4", "res": "-36.5"}, {"op": "add2-3", "arg1": "#1", "arg2": "4.6", "res": "-31.9"}], "program": "add(-17.1, -12.0), add(#0, -7.4), add(#1, 4.6)", "gold_inds": {"table_2": "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;", "table_3": "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;", "table_4": "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;", "table_5": "the other of amount ( in millions ) is 4.6 ;"}, "exe_ans": -31.9, "tfidftopn": {}, "program_re": "add(add(add(-17.1, -12.0), -7.4), 4.6)", "model_input": [["table_2", "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;"], ["table_3", "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_5", "the other of amount ( in millions ) is 4.6 ;"]]}, "answers": ["-31.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000325", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-558.", "rejected": "-73.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-4", "qa": {"question": "what is the net change in net revenue during 2015?", "answer": "-558", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1666", "arg2": "2224", "res": "-558"}], "program": "subtract(1666, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -558.0, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "subtract(1666, 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_5", "the other of amount ( in millions ) is 37 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"]]}, "answers": ["-558"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-2", "qa": {"question": "what is the net change in net revenue during 2017?", "answer": "-73", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1469", "arg2": "1542", "res": "-73"}], "program": "subtract(1469, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -73.0, "tfidftopn": {"text_8": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "subtract(1469, 1542)", "model_input": [["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_6", "the other of amount ( in millions ) is 9 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-73"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000326", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-558.", "rejected": "49.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2016/page_24.pdf-4", "qa": {"question": "what is the net change in net revenue during 2015?", "answer": "-558", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1666", "arg2": "2224", "res": "-558"}], "program": "subtract(1666, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -558.0, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "subtract(1666, 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_5", "the other of amount ( in millions ) is 37 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"]]}, "answers": ["-558"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-2", "qa": {"question": "what is the net change in net revenue during 2007?", "answer": "49", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}], "program": "subtract(991.1, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 49.0, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "subtract(991.1, 942.1)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_6", "the other of amount ( in millions ) is 3.9 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["49"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000327", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-73.", "rejected": "-124.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-2", "qa": {"question": "what is the net change in net revenue during 2017?", "answer": "-73", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1469", "arg2": "1542", "res": "-73"}], "program": "subtract(1469, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -73.0, "tfidftopn": {"text_8": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "subtract(1469, 1542)", "model_input": [["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_6", "the other of amount ( in millions ) is 9 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-73"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016?", "answer": "-124", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1542", "arg2": "1666", "res": "-124"}], "program": "subtract(1542, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -124.0, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "subtract(1542, 1666)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_7", "the other of amount ( in millions ) is -4 ( 4 ) ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-124"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000328", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-73.", "rejected": "-31.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-2", "qa": {"question": "what is the net change in net revenue during 2017?", "answer": "-73", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1469", "arg2": "1542", "res": "-73"}], "program": "subtract(1469, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -73.0, "tfidftopn": {"text_8": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "subtract(1469, 1542)", "model_input": [["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_6", "the other of amount ( in millions ) is 9 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-73"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-2", "qa": {"question": "what is the net change in net revenue during 2008?", "answer": "-31.9", "explanation": "", "ann_table_rows": [2, 3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "-17.1", "arg2": "-12.0", "res": "-29.1"}, {"op": "add2-2", "arg1": "#0", "arg2": "-7.4", "res": "-36.5"}, {"op": "add2-3", "arg1": "#1", "arg2": "4.6", "res": "-31.9"}], "program": "add(-17.1, -12.0), add(#0, -7.4), add(#1, 4.6)", "gold_inds": {"table_2": "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;", "table_3": "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;", "table_4": "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;", "table_5": "the other of amount ( in millions ) is 4.6 ;"}, "exe_ans": -31.9, "tfidftopn": {}, "program_re": "add(add(add(-17.1, -12.0), -7.4), 4.6)", "model_input": [["table_2", "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;"], ["table_3", "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_5", "the other of amount ( in millions ) is 4.6 ;"]]}, "answers": ["-31.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000329", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-73.", "rejected": "-558.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-2", "qa": {"question": "what is the net change in net revenue during 2017?", "answer": "-73", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1469", "arg2": "1542", "res": "-73"}], "program": "subtract(1469, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -73.0, "tfidftopn": {"text_8": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "subtract(1469, 1542)", "model_input": [["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_6", "the other of amount ( in millions ) is 9 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-73"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-4", "qa": {"question": "what is the net change in net revenue during 2015?", "answer": "-558", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1666", "arg2": "2224", "res": "-558"}], "program": "subtract(1666, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -558.0, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "subtract(1666, 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_5", "the other of amount ( in millions ) is 37 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"]]}, "answers": ["-558"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000330", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-73.", "rejected": "49.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2017/page_20.pdf-2", "qa": {"question": "what is the net change in net revenue during 2017?", "answer": "-73", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1469", "arg2": "1542", "res": "-73"}], "program": "subtract(1469, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -73.0, "tfidftopn": {"text_8": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "subtract(1469, 1542)", "model_input": [["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_6", "the other of amount ( in millions ) is 9 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-73"]}, "rejected_source": {"id": "ETR/2008/page_314.pdf-2", "qa": {"question": "what is the net change in net revenue during 2007?", "answer": "49", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}], "program": "subtract(991.1, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 49.0, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "subtract(991.1, 942.1)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_6", "the other of amount ( in millions ) is 3.9 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["49"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000331", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "49.", "rejected": "-124.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-2", "qa": {"question": "what is the net change in net revenue during 2007?", "answer": "49", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}], "program": "subtract(991.1, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 49.0, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "subtract(991.1, 942.1)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_6", "the other of amount ( in millions ) is 3.9 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["49"]}, "rejected_source": {"id": "ETR/2016/page_18.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016?", "answer": "-124", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1542", "arg2": "1666", "res": "-124"}], "program": "subtract(1542, 1666)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;", "table_8": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"}, "exe_ans": -124.0, "tfidftopn": {"text_11": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "subtract(1542, 1666)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"], ["table_7", "the other of amount ( in millions ) is -4 ( 4 ) ;"], ["table_8", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"]]}, "answers": ["-124"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000332", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "49.", "rejected": "-31.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-2", "qa": {"question": "what is the net change in net revenue during 2007?", "answer": "49", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}], "program": "subtract(991.1, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 49.0, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "subtract(991.1, 942.1)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_6", "the other of amount ( in millions ) is 3.9 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["49"]}, "rejected_source": {"id": "ETR/2008/page_313.pdf-2", "qa": {"question": "what is the net change in net revenue during 2008?", "answer": "-31.9", "explanation": "", "ann_table_rows": [2, 3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "-17.1", "arg2": "-12.0", "res": "-29.1"}, {"op": "add2-2", "arg1": "#0", "arg2": "-7.4", "res": "-36.5"}, {"op": "add2-3", "arg1": "#1", "arg2": "4.6", "res": "-31.9"}], "program": "add(-17.1, -12.0), add(#0, -7.4), add(#1, 4.6)", "gold_inds": {"table_2": "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;", "table_3": "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;", "table_4": "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;", "table_5": "the other of amount ( in millions ) is 4.6 ;"}, "exe_ans": -31.9, "tfidftopn": {}, "program_re": "add(add(add(-17.1, -12.0), -7.4), 4.6)", "model_input": [["table_2", "the retail electric price of amount ( in millions ) is -17.1 ( 17.1 ) ;"], ["table_3", "the purchased power capacity of amount ( in millions ) is -12.0 ( 12.0 ) ;"], ["table_4", "the net wholesale revenue of amount ( in millions ) is -7.4 ( 7.4 ) ;"], ["table_5", "the other of amount ( in millions ) is 4.6 ;"]]}, "answers": ["-31.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000333", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "49.", "rejected": "-558.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-2", "qa": {"question": "what is the net change in net revenue during 2007?", "answer": "49", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}], "program": "subtract(991.1, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 49.0, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "subtract(991.1, 942.1)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_6", "the other of amount ( in millions ) is 3.9 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["49"]}, "rejected_source": {"id": "ETR/2016/page_24.pdf-4", "qa": {"question": "what is the net change in net revenue during 2015?", "answer": "-558", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1666", "arg2": "2224", "res": "-558"}], "program": "subtract(1666, 2224)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2224 ;", "table_6": "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"}, "exe_ans": -558.0, "tfidftopn": {"text_10": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2015 to 2014 ."}, "program_re": "subtract(1666, 2224)", "model_input": [["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2224 ;"], ["table_5", "the other of amount ( in millions ) is 37 ;"], ["table_6", "the 2015 net revenue of amount ( in millions ) is $ 1666 ;"]]}, "answers": ["-558"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000334", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "49.", "rejected": "-73.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME>?", "original_question": "what is the net change in net revenue during 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "-31.9": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "-558": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-124": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-73": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "ETR/2008/page_314.pdf-2", "qa": {"question": "what is the net change in net revenue during 2007?", "answer": "49", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "991.1", "arg2": "942.1", "res": "49"}], "program": "subtract(991.1, 942.1)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"}, "exe_ans": 49.0, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2007 to 2006 ."}, "program_re": "subtract(991.1, 942.1)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 942.1 ;"], ["table_6", "the other of amount ( in millions ) is 3.9 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 991.1 ;"]]}, "answers": ["49"]}, "rejected_source": {"id": "ETR/2017/page_20.pdf-2", "qa": {"question": "what is the net change in net revenue during 2017?", "answer": "-73", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1469", "arg2": "1542", "res": "-73"}], "program": "subtract(1469, 1542)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 1542 ;", "table_7": "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"}, "exe_ans": -73.0, "tfidftopn": {"text_8": "entergy wholesale commodities following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "subtract(1469, 1542)", "model_input": [["table_1", "the 2016 net revenue of amount ( in millions ) is $ 1542 ;"], ["table_6", "the other of amount ( in millions ) is 9 ;"], ["table_7", "the 2017 net revenue of amount ( in millions ) is $ 1469 ;"]]}, "answers": ["-73"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000335", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "11%.", "rejected": "4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2011/page_230.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?", "answer": "11%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1697", "arg2": "16088", "res": "11%"}], "program": "divide(1697, 16088)", "gold_inds": {"table_3": "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.10548, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(1697, 16088)", "model_input": [["table_3", "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7698 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "AES/2010/page_225.pdf-1", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?", "answer": "4%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "657", "arg2": "15121", "res": "4%"}], "program": "divide(657, 15121)", "gold_inds": {"table_2": "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.04345, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(657, 15121)", "model_input": [["table_2", "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000336", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "11%.", "rejected": "5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2011/page_230.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?", "answer": "11%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1697", "arg2": "16088", "res": "11%"}], "program": "divide(1697, 16088)", "gold_inds": {"table_3": "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.10548, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(1697, 16088)", "model_input": [["table_3", "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7698 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "AES/2011/page_230.pdf-4", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?", "answer": "5%", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "851", "arg2": "16088", "res": "5%"}], "program": "divide(851, 16088)", "gold_inds": {"table_4": "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.0529, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(851, 16088)", "model_input": [["table_1", "december 31, the 2012 of annual maturities ( in millions ) is $ 2152 ;"], ["table_4", "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000337", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "11%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2011/page_230.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?", "answer": "11%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1697", "arg2": "16088", "res": "11%"}], "program": "divide(1697, 16088)", "gold_inds": {"table_3": "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.10548, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(1697, 16088)", "model_input": [["table_3", "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7698 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "AES/2010/page_225.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?", "answer": "6%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "953", "arg2": "15121", "res": "6%"}], "program": "divide(953, 15121)", "gold_inds": {"table_3": "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.06302, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(953, 15121)", "model_input": [["table_3", "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000338", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "4%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2010/page_225.pdf-1", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?", "answer": "4%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "657", "arg2": "15121", "res": "4%"}], "program": "divide(657, 15121)", "gold_inds": {"table_2": "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.04345, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(657, 15121)", "model_input": [["table_2", "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["4%"]}, "rejected_source": {"id": "AES/2011/page_230.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?", "answer": "11%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1697", "arg2": "16088", "res": "11%"}], "program": "divide(1697, 16088)", "gold_inds": {"table_3": "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.10548, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(1697, 16088)", "model_input": [["table_3", "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7698 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000339", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "4%.", "rejected": "5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2010/page_225.pdf-1", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?", "answer": "4%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "657", "arg2": "15121", "res": "4%"}], "program": "divide(657, 15121)", "gold_inds": {"table_2": "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.04345, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(657, 15121)", "model_input": [["table_2", "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["4%"]}, "rejected_source": {"id": "AES/2011/page_230.pdf-4", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?", "answer": "5%", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "851", "arg2": "16088", "res": "5%"}], "program": "divide(851, 16088)", "gold_inds": {"table_4": "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.0529, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(851, 16088)", "model_input": [["table_1", "december 31, the 2012 of annual maturities ( in millions ) is $ 2152 ;"], ["table_4", "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000340", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "4%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2010/page_225.pdf-1", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?", "answer": "4%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "657", "arg2": "15121", "res": "4%"}], "program": "divide(657, 15121)", "gold_inds": {"table_2": "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.04345, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(657, 15121)", "model_input": [["table_2", "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["4%"]}, "rejected_source": {"id": "AES/2010/page_225.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?", "answer": "6%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "953", "arg2": "15121", "res": "6%"}], "program": "divide(953, 15121)", "gold_inds": {"table_3": "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.06302, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(953, 15121)", "model_input": [["table_3", "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000341", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "5%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2011/page_230.pdf-4", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?", "answer": "5%", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "851", "arg2": "16088", "res": "5%"}], "program": "divide(851, 16088)", "gold_inds": {"table_4": "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.0529, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(851, 16088)", "model_input": [["table_1", "december 31, the 2012 of annual maturities ( in millions ) is $ 2152 ;"], ["table_4", "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["5%"]}, "rejected_source": {"id": "AES/2011/page_230.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?", "answer": "11%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1697", "arg2": "16088", "res": "11%"}], "program": "divide(1697, 16088)", "gold_inds": {"table_3": "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.10548, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(1697, 16088)", "model_input": [["table_3", "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7698 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000342", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "5%.", "rejected": "4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2011/page_230.pdf-4", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?", "answer": "5%", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "851", "arg2": "16088", "res": "5%"}], "program": "divide(851, 16088)", "gold_inds": {"table_4": "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.0529, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(851, 16088)", "model_input": [["table_1", "december 31, the 2012 of annual maturities ( in millions ) is $ 2152 ;"], ["table_4", "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["5%"]}, "rejected_source": {"id": "AES/2010/page_225.pdf-1", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?", "answer": "4%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "657", "arg2": "15121", "res": "4%"}], "program": "divide(657, 15121)", "gold_inds": {"table_2": "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.04345, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(657, 15121)", "model_input": [["table_2", "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000343", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "5%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2011/page_230.pdf-4", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?", "answer": "5%", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "851", "arg2": "16088", "res": "5%"}], "program": "divide(851, 16088)", "gold_inds": {"table_4": "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.0529, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(851, 16088)", "model_input": [["table_1", "december 31, the 2012 of annual maturities ( in millions ) is $ 2152 ;"], ["table_4", "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["5%"]}, "rejected_source": {"id": "AES/2010/page_225.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?", "answer": "6%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "953", "arg2": "15121", "res": "6%"}], "program": "divide(953, 15121)", "gold_inds": {"table_3": "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.06302, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(953, 15121)", "model_input": [["table_3", "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000344", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "6%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2010/page_225.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?", "answer": "6%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "953", "arg2": "15121", "res": "6%"}], "program": "divide(953, 15121)", "gold_inds": {"table_3": "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.06302, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(953, 15121)", "model_input": [["table_3", "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "AES/2011/page_230.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2014?", "answer": "11%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1697", "arg2": "16088", "res": "11%"}], "program": "divide(1697, 16088)", "gold_inds": {"table_3": "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.10548, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(1697, 16088)", "model_input": [["table_3", "december 31 , the 2014 of annual maturities ( in millions ) is 1697 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7698 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000345", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "6%.", "rejected": "4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2010/page_225.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?", "answer": "6%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "953", "arg2": "15121", "res": "6%"}], "program": "divide(953, 15121)", "gold_inds": {"table_3": "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.06302, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(953, 15121)", "model_input": [["table_3", "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "AES/2010/page_225.pdf-1", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2012?", "answer": "4%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "657", "arg2": "15121", "res": "4%"}], "program": "divide(657, 15121)", "gold_inds": {"table_2": "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.04345, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(657, 15121)", "model_input": [["table_2", "december 31 , the 2012 of annual maturities ( in millions ) is 657 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000346", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "6%.", "rejected": "5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "doc_prefix": "AES", "base_question": "what percentage of total non-recourse debt as of december 31 , <TIME> is due <TIME>?", "original_question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "11%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AES/2010/page_225.pdf-2", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2010 is due in 2013?", "answer": "6%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "953", "arg2": "15121", "res": "6%"}], "program": "divide(953, 15121)", "gold_inds": {"table_3": "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"}, "exe_ans": 0.06302, "tfidftopn": {"text_2": "non-recourse debt as of december 31 , 2010 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(953, 15121)", "model_input": [["table_3", "december 31 , the 2013 of annual maturities ( in millions ) is 953 ;"], ["table_6", "december 31, the thereafter of annual maturities ( in millions ) is 7957 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 15121 ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "AES/2011/page_230.pdf-4", "qa": {"question": "what percentage of total non-recourse debt as of december 31 , 2011 is due in 2015?", "answer": "5%", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "851", "arg2": "16088", "res": "5%"}], "program": "divide(851, 16088)", "gold_inds": {"table_4": "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;", "table_7": "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"}, "exe_ans": 0.0529, "tfidftopn": {"text_7": "non-recourse debt as of december 31 , 2011 is scheduled to reach maturity as set forth in the table below : december 31 , annual maturities ( in millions ) ."}, "program_re": "divide(851, 16088)", "model_input": [["table_1", "december 31, the 2012 of annual maturities ( in millions ) is $ 2152 ;"], ["table_4", "december 31 , the 2015 of annual maturities ( in millions ) is 851 ;"], ["table_7", "december 31 , the total non-recourse debt of annual maturities ( in millions ) is $ 16088 ;"]]}, "answers": ["5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000347", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-5.1%.", "rejected": "2.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2014/page_45.pdf-3", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2013?", "answer": "-5.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1612", "arg2": "1699", "res": "-87"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1699", "res": "-5.1%"}], "program": "subtract(1612, 1699), divide(#0, 1699)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": -0.05121, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1612, 1699), 1699)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["-5.1%"]}, "rejected_source": {"id": "LMT/2014/page_45.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2014?", "answer": "2.3%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1649", "arg2": "1612", "res": "37"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1612", "res": "2.3%"}], "program": "subtract(1649, 1612), divide(#0, 1612)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": 0.02295, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1649, 1612), 1612)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["2.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000348", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-5.1%.", "rejected": "4.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2014/page_45.pdf-3", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2013?", "answer": "-5.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1612", "arg2": "1699", "res": "-87"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1699", "res": "-5.1%"}], "program": "subtract(1612, 1699), divide(#0, 1699)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": -0.05121, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1612, 1699), 1699)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["-5.1%"]}, "rejected_source": {"id": "LMT/2012/page_43.pdf-1", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2012?", "answer": "4.2%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1699", "arg2": "1630", "res": "69"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1630", "res": "4.2%"}], "program": "subtract(1699, 1630), divide(#0, 1630)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.04233, "tfidftopn": {"text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 .", "text_12": "operating profit for c-5 programs was comparable to 2011 ."}, "program_re": "divide(subtract(1699, 1630), 1630)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["4.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000349", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-5.1%.", "rejected": "8.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2014/page_45.pdf-3", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2013?", "answer": "-5.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1612", "arg2": "1699", "res": "-87"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1699", "res": "-5.1%"}], "program": "subtract(1612, 1699), divide(#0, 1699)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": -0.05121, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1612, 1699), 1699)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["-5.1%"]}, "rejected_source": {"id": "LMT/2012/page_43.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2011?", "answer": "8.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1630", "arg2": "1498", "res": "132"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1498", "res": "8.8%"}], "program": "subtract(1630, 1498), divide(#0, 1498)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.08812, "tfidftopn": {"text_12": "operating profit for c-5 programs was comparable to 2011 .", "text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."}, "program_re": "divide(subtract(1630, 1498), 1498)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["8.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000350", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "2.3%.", "rejected": "-5.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2014/page_45.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2014?", "answer": "2.3%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1649", "arg2": "1612", "res": "37"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1612", "res": "2.3%"}], "program": "subtract(1649, 1612), divide(#0, 1612)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": 0.02295, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1649, 1612), 1612)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["2.3%"]}, "rejected_source": {"id": "LMT/2014/page_45.pdf-3", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2013?", "answer": "-5.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1612", "arg2": "1699", "res": "-87"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1699", "res": "-5.1%"}], "program": "subtract(1612, 1699), divide(#0, 1699)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": -0.05121, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1612, 1699), 1699)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["-5.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000351", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "2.3%.", "rejected": "4.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2014/page_45.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2014?", "answer": "2.3%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1649", "arg2": "1612", "res": "37"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1612", "res": "2.3%"}], "program": "subtract(1649, 1612), divide(#0, 1612)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": 0.02295, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1649, 1612), 1612)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["2.3%"]}, "rejected_source": {"id": "LMT/2012/page_43.pdf-1", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2012?", "answer": "4.2%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1699", "arg2": "1630", "res": "69"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1630", "res": "4.2%"}], "program": "subtract(1699, 1630), divide(#0, 1630)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.04233, "tfidftopn": {"text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 .", "text_12": "operating profit for c-5 programs was comparable to 2011 ."}, "program_re": "divide(subtract(1699, 1630), 1630)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["4.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000352", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "2.3%.", "rejected": "8.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2014/page_45.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2014?", "answer": "2.3%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1649", "arg2": "1612", "res": "37"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1612", "res": "2.3%"}], "program": "subtract(1649, 1612), divide(#0, 1612)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": 0.02295, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1649, 1612), 1612)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["2.3%"]}, "rejected_source": {"id": "LMT/2012/page_43.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2011?", "answer": "8.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1630", "arg2": "1498", "res": "132"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1498", "res": "8.8%"}], "program": "subtract(1630, 1498), divide(#0, 1498)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.08812, "tfidftopn": {"text_12": "operating profit for c-5 programs was comparable to 2011 .", "text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."}, "program_re": "divide(subtract(1630, 1498), 1498)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["8.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000353", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "4.2%.", "rejected": "-5.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2012/page_43.pdf-1", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2012?", "answer": "4.2%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1699", "arg2": "1630", "res": "69"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1630", "res": "4.2%"}], "program": "subtract(1699, 1630), divide(#0, 1630)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.04233, "tfidftopn": {"text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 .", "text_12": "operating profit for c-5 programs was comparable to 2011 ."}, "program_re": "divide(subtract(1699, 1630), 1630)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["4.2%"]}, "rejected_source": {"id": "LMT/2014/page_45.pdf-3", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2013?", "answer": "-5.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1612", "arg2": "1699", "res": "-87"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1699", "res": "-5.1%"}], "program": "subtract(1612, 1699), divide(#0, 1699)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": -0.05121, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1612, 1699), 1699)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["-5.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000354", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "4.2%.", "rejected": "2.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2012/page_43.pdf-1", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2012?", "answer": "4.2%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1699", "arg2": "1630", "res": "69"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1630", "res": "4.2%"}], "program": "subtract(1699, 1630), divide(#0, 1630)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.04233, "tfidftopn": {"text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 .", "text_12": "operating profit for c-5 programs was comparable to 2011 ."}, "program_re": "divide(subtract(1699, 1630), 1630)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["4.2%"]}, "rejected_source": {"id": "LMT/2014/page_45.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2014?", "answer": "2.3%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1649", "arg2": "1612", "res": "37"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1612", "res": "2.3%"}], "program": "subtract(1649, 1612), divide(#0, 1612)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": 0.02295, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1649, 1612), 1612)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["2.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000355", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "4.2%.", "rejected": "8.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2012/page_43.pdf-1", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2012?", "answer": "4.2%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1699", "arg2": "1630", "res": "69"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1630", "res": "4.2%"}], "program": "subtract(1699, 1630), divide(#0, 1630)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.04233, "tfidftopn": {"text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 .", "text_12": "operating profit for c-5 programs was comparable to 2011 ."}, "program_re": "divide(subtract(1699, 1630), 1630)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["4.2%"]}, "rejected_source": {"id": "LMT/2012/page_43.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2011?", "answer": "8.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1630", "arg2": "1498", "res": "132"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1498", "res": "8.8%"}], "program": "subtract(1630, 1498), divide(#0, 1498)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.08812, "tfidftopn": {"text_12": "operating profit for c-5 programs was comparable to 2011 .", "text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."}, "program_re": "divide(subtract(1630, 1498), 1498)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["8.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000356", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "8.8%.", "rejected": "-5.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2012/page_43.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2011?", "answer": "8.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1630", "arg2": "1498", "res": "132"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1498", "res": "8.8%"}], "program": "subtract(1630, 1498), divide(#0, 1498)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.08812, "tfidftopn": {"text_12": "operating profit for c-5 programs was comparable to 2011 .", "text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."}, "program_re": "divide(subtract(1630, 1498), 1498)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["8.8%"]}, "rejected_source": {"id": "LMT/2014/page_45.pdf-3", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2013?", "answer": "-5.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1612", "arg2": "1699", "res": "-87"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1699", "res": "-5.1%"}], "program": "subtract(1612, 1699), divide(#0, 1699)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": -0.05121, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1612, 1699), 1699)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["-5.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000357", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "8.8%.", "rejected": "2.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2012/page_43.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2011?", "answer": "8.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1630", "arg2": "1498", "res": "132"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1498", "res": "8.8%"}], "program": "subtract(1630, 1498), divide(#0, 1498)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.08812, "tfidftopn": {"text_12": "operating profit for c-5 programs was comparable to 2011 .", "text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."}, "program_re": "divide(subtract(1630, 1498), 1498)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["8.8%"]}, "rejected_source": {"id": "LMT/2014/page_45.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2014?", "answer": "2.3%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1649", "arg2": "1612", "res": "37"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1612", "res": "2.3%"}], "program": "subtract(1649, 1612), divide(#0, 1612)", "gold_inds": {"table_3": "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;", "table_2": "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"}, "exe_ans": 0.02295, "tfidftopn": {"text_11": "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."}, "program_re": "divide(subtract(1649, 1612), 1612)", "model_input": [["table_2", "the operating profit of 2014 is 1649 ; the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ;"], ["table_3", "the operating margins of 2014 is 11.1% ( 11.1 % ) ; the operating margins of 2013 is 11.4% ( 11.4 % ) ; the operating margins of 2012 is 11.4% ( 11.4 % ) ;"], ["text_11", "aeronautics 2019 operating profit for 2014 increased $ 37 million , or 2% ( 2 % ) , compared to 2013 ."]]}, "answers": ["2.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000358", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for aeronautics in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "8.8%.", "rejected": "4.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for aeronautics <TIME>?", "original_question": "what is the growth rate in operating profit for aeronautics in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "4.2%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "-5.1%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "2.3%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2012/page_43.pdf-4", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2011?", "answer": "8.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1630", "arg2": "1498", "res": "132"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1498", "res": "8.8%"}], "program": "subtract(1630, 1498), divide(#0, 1498)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.08812, "tfidftopn": {"text_12": "operating profit for c-5 programs was comparable to 2011 .", "text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."}, "program_re": "divide(subtract(1630, 1498), 1498)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["8.8%"]}, "rejected_source": {"id": "LMT/2012/page_43.pdf-1", "qa": {"question": "what is the growth rate in operating profit for aeronautics in 2012?", "answer": "4.2%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1699", "arg2": "1630", "res": "69"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1630", "res": "4.2%"}], "program": "subtract(1699, 1630), divide(#0, 1630)", "gold_inds": {"table_2": "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"}, "exe_ans": 0.04233, "tfidftopn": {"text_9": "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 .", "text_12": "operating profit for c-5 programs was comparable to 2011 ."}, "program_re": "divide(subtract(1699, 1630), 1630)", "model_input": [["table_2", "the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ; the operating profit of 2010 is 1498 ;"], ["table_3", "the operating margins of 2012 is 11.4% ( 11.4 % ) ; the operating margins of 2011 is 11.3% ( 11.3 % ) ; the operating margins of 2010 is 11.4% ( 11.4 % ) ;"], ["text_9", "aeronautics 2019 operating profit for 2012 increased $ 69 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["4.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000359", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in millions in unrecognized tax benefits from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-12.", "rejected": "-4.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the net change in millions in unrecognized tax benefits <TIME>?", "doc_prefix": "AES", "base_question": "what was the net change in millions in unrecognized tax benefits <TIME>?", "original_question": "what was the net change in millions in unrecognized tax benefits from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-12": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "AES/2017/page_168.pdf-3", "qa": {"question": "what was the net change in millions in unrecognized tax benefits from 2015 to 2016?", "answer": "-12", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "352", "arg2": "364", "res": "-12"}], "program": "subtract(352, 364)", "gold_inds": {"table_8": "december 31 , the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ; the balance at december 31 of 2015 is $ 364 ;"}, "exe_ans": -12.0, "tfidftopn": {"text_1": "the following is a reconciliation of the beginning and ending amounts of unrecognized tax benefits for the periods indicated ( in millions ) : .", "text_0": "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2017 , 2016 , and 2015 the total amount of unrecognized tax benefits anticipated to result in a net decrease to unrecognized tax benefits within 12 months of december 31 , 2017 is estimated to be between $ 5 million and $ 15 million , primarily relating to statute of limitation lapses and tax exam settlements ."}, "program_re": "subtract(352, 364)", "model_input": [["text_0", "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2017 , 2016 , and 2015 the total amount of unrecognized tax benefits anticipated to result in a net decrease to unrecognized tax benefits within 12 months of december 31 , 2017 is estimated to be between $ 5 million and $ 15 million , primarily relating to statute of limitation lapses and tax exam settlements ."], ["table_1", "december 31, the balance at january 1 of 2017 is $ 352 ; the balance at january 1 of 2016 is $ 364 ; the balance at january 1 of 2015 is $ 384 ;"], ["table_8", "december 31 , the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ; the balance at december 31 of 2015 is $ 364 ;"]]}, "answers": ["-12"]}, "rejected_source": {"id": "AES/2017/page_168.pdf-4", "qa": {"question": "what was the net change in millions in unrecognized tax benefits from 2016 to 2017?", "answer": "-4", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "348", "arg2": "352", "res": "-4"}], "program": "subtract(348, 352)", "gold_inds": {"table_8": "december 31 , the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ; the balance at december 31 of 2015 is $ 364 ;"}, "exe_ans": -4.0, "tfidftopn": {"text_1": "the following is a reconciliation of the beginning and ending amounts of unrecognized tax benefits for the periods indicated ( in millions ) : .", "text_0": "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2017 , 2016 , and 2015 the total amount of unrecognized tax benefits anticipated to result in a net decrease to unrecognized tax benefits within 12 months of december 31 , 2017 is estimated to be between $ 5 million and $ 15 million , primarily relating to statute of limitation lapses and tax exam settlements ."}, "program_re": "subtract(348, 352)", "model_input": [["text_0", "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2017 , 2016 , and 2015 the total amount of unrecognized tax benefits anticipated to result in a net decrease to unrecognized tax benefits within 12 months of december 31 , 2017 is estimated to be between $ 5 million and $ 15 million , primarily relating to statute of limitation lapses and tax exam settlements ."], ["table_1", "december 31, the balance at january 1 of 2017 is $ 352 ; the balance at january 1 of 2016 is $ 364 ; the balance at january 1 of 2015 is $ 384 ;"], ["table_8", "december 31 , the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ; the balance at december 31 of 2015 is $ 364 ;"]]}, "answers": ["-4"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000360", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in millions in unrecognized tax benefits from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4.", "rejected": "-12.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the net change in millions in unrecognized tax benefits <TIME>?", "doc_prefix": "AES", "base_question": "what was the net change in millions in unrecognized tax benefits <TIME>?", "original_question": "what was the net change in millions in unrecognized tax benefits from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-12": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "AES/2017/page_168.pdf-4", "qa": {"question": "what was the net change in millions in unrecognized tax benefits from 2016 to 2017?", "answer": "-4", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "348", "arg2": "352", "res": "-4"}], "program": "subtract(348, 352)", "gold_inds": {"table_8": "december 31 , the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ; the balance at december 31 of 2015 is $ 364 ;"}, "exe_ans": -4.0, "tfidftopn": {"text_1": "the following is a reconciliation of the beginning and ending amounts of unrecognized tax benefits for the periods indicated ( in millions ) : .", "text_0": "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2017 , 2016 , and 2015 the total amount of unrecognized tax benefits anticipated to result in a net decrease to unrecognized tax benefits within 12 months of december 31 , 2017 is estimated to be between $ 5 million and $ 15 million , primarily relating to statute of limitation lapses and tax exam settlements ."}, "program_re": "subtract(348, 352)", "model_input": [["text_0", "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2017 , 2016 , and 2015 the total amount of unrecognized tax benefits anticipated to result in a net decrease to unrecognized tax benefits within 12 months of december 31 , 2017 is estimated to be between $ 5 million and $ 15 million , primarily relating to statute of limitation lapses and tax exam settlements ."], ["table_1", "december 31, the balance at january 1 of 2017 is $ 352 ; the balance at january 1 of 2016 is $ 364 ; the balance at january 1 of 2015 is $ 384 ;"], ["table_8", "december 31 , the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ; the balance at december 31 of 2015 is $ 364 ;"]]}, "answers": ["-4"]}, "rejected_source": {"id": "AES/2017/page_168.pdf-3", "qa": {"question": "what was the net change in millions in unrecognized tax benefits from 2015 to 2016?", "answer": "-12", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "352", "arg2": "364", "res": "-12"}], "program": "subtract(352, 364)", "gold_inds": {"table_8": "december 31 , the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ; the balance at december 31 of 2015 is $ 364 ;"}, "exe_ans": -12.0, "tfidftopn": {"text_1": "the following is a reconciliation of the beginning and ending amounts of unrecognized tax benefits for the periods indicated ( in millions ) : .", "text_0": "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2017 , 2016 , and 2015 the total amount of unrecognized tax benefits anticipated to result in a net decrease to unrecognized tax benefits within 12 months of december 31 , 2017 is estimated to be between $ 5 million and $ 15 million , primarily relating to statute of limitation lapses and tax exam settlements ."}, "program_re": "subtract(352, 364)", "model_input": [["text_0", "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2017 , 2016 , and 2015 the total amount of unrecognized tax benefits anticipated to result in a net decrease to unrecognized tax benefits within 12 months of december 31 , 2017 is estimated to be between $ 5 million and $ 15 million , primarily relating to statute of limitation lapses and tax exam settlements ."], ["table_1", "december 31, the balance at january 1 of 2017 is $ 352 ; the balance at january 1 of 2016 is $ 364 ; the balance at january 1 of 2015 is $ 384 ;"], ["table_8", "december 31 , the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ; the balance at december 31 of 2015 is $ 364 ;"]]}, "answers": ["-12"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000361", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate of the average total short-duration advances from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-6.0%.", "rejected": "11.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what is the growth rate of the average total short-duration advances <TIME>?", "doc_prefix": "STT", "base_question": "what is the growth rate of the average total short-duration advances <TIME>?", "original_question": "what is the growth rate of the average total short-duration advances from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6.0%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "11.4%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "STT/2013/page_71.pdf-2", "qa": {"question": "what is the growth rate of the average total short-duration advances from 2011 to 2012?", "answer": "-6.0%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3365", "arg2": "3579", "res": "-214"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3579", "res": "-6.0%"}], "program": "subtract(3365, 3579), divide(#0, 3579)", "gold_inds": {"table_3": "( in millions ) the average total short-duration advances of 2013 is $ 3749 ; the average total short-duration advances of 2012 is $ 3365 ; the average total short-duration advances of 2011 is $ 3579 ;"}, "exe_ans": -0.05979, "tfidftopn": {"table_1": "( in millions ) The average u.s . short-duration advances of 2013 is $ 2356 ; The average u.s . short-duration advances of 2012 is $ 1972 ; The average u.s . short-duration advances of 2011 is $ 1994 ;", "table_2": "( in millions ) The average non-u.s . short-duration advances of 2013 is 1393 ; The average non-u.s . short-duration advances of 2012 is 1393 ; The average non-u.s . short-duration advances of 2011 is 1585 ;"}, "program_re": "divide(subtract(3365, 3579), 3579)", "model_input": [["text_2", "short-duration advances for the years ended december 31 : years ended december 31 ."], ["table_1", "( in millions ) the average u.s . short-duration advances of 2013 is $ 2356 ; the average u.s . short-duration advances of 2012 is $ 1972 ; the average u.s . short-duration advances of 2011 is $ 1994 ;"], ["table_3", "( in millions ) the average total short-duration advances of 2013 is $ 3749 ; the average total short-duration advances of 2012 is $ 3365 ; the average total short-duration advances of 2011 is $ 3579 ;"]]}, "answers": ["-6.0%"]}, "rejected_source": {"id": "STT/2013/page_71.pdf-1", "qa": {"question": "what is the growth rate of the average total short-duration advances from 2012 to 2013?", "answer": "11.4%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "3749", "arg2": "3365", "res": "384"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3365", "res": "11.4%"}], "program": "subtract(3749, 3365), divide(#0, 3365)", "gold_inds": {"table_3": "( in millions ) the average total short-duration advances of 2013 is $ 3749 ; the average total short-duration advances of 2012 is $ 3365 ; the average total short-duration advances of 2011 is $ 3579 ;"}, "exe_ans": 0.11412, "tfidftopn": {"table_1": "( in millions ) The average u.s . short-duration advances of 2013 is $ 2356 ; The average u.s . short-duration advances of 2012 is $ 1972 ; The average u.s . short-duration advances of 2011 is $ 1994 ;", "table_2": "( in millions ) The average non-u.s . short-duration advances of 2013 is 1393 ; The average non-u.s . short-duration advances of 2012 is 1393 ; The average non-u.s . short-duration advances of 2011 is 1585 ;"}, "program_re": "divide(subtract(3749, 3365), 3365)", "model_input": [["text_2", "short-duration advances for the years ended december 31 : years ended december 31 ."], ["table_1", "( in millions ) the average u.s . short-duration advances of 2013 is $ 2356 ; the average u.s . short-duration advances of 2012 is $ 1972 ; the average u.s . short-duration advances of 2011 is $ 1994 ;"], ["table_3", "( in millions ) the average total short-duration advances of 2013 is $ 3749 ; the average total short-duration advances of 2012 is $ 3365 ; the average total short-duration advances of 2011 is $ 3579 ;"]]}, "answers": ["11.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000362", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate of the average total short-duration advances from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "11.4%.", "rejected": "-6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what is the growth rate of the average total short-duration advances <TIME>?", "doc_prefix": "STT", "base_question": "what is the growth rate of the average total short-duration advances <TIME>?", "original_question": "what is the growth rate of the average total short-duration advances from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6.0%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "11.4%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "STT/2013/page_71.pdf-1", "qa": {"question": "what is the growth rate of the average total short-duration advances from 2012 to 2013?", "answer": "11.4%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "3749", "arg2": "3365", "res": "384"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3365", "res": "11.4%"}], "program": "subtract(3749, 3365), divide(#0, 3365)", "gold_inds": {"table_3": "( in millions ) the average total short-duration advances of 2013 is $ 3749 ; the average total short-duration advances of 2012 is $ 3365 ; the average total short-duration advances of 2011 is $ 3579 ;"}, "exe_ans": 0.11412, "tfidftopn": {"table_1": "( in millions ) The average u.s . short-duration advances of 2013 is $ 2356 ; The average u.s . short-duration advances of 2012 is $ 1972 ; The average u.s . short-duration advances of 2011 is $ 1994 ;", "table_2": "( in millions ) The average non-u.s . short-duration advances of 2013 is 1393 ; The average non-u.s . short-duration advances of 2012 is 1393 ; The average non-u.s . short-duration advances of 2011 is 1585 ;"}, "program_re": "divide(subtract(3749, 3365), 3365)", "model_input": [["text_2", "short-duration advances for the years ended december 31 : years ended december 31 ."], ["table_1", "( in millions ) the average u.s . short-duration advances of 2013 is $ 2356 ; the average u.s . short-duration advances of 2012 is $ 1972 ; the average u.s . short-duration advances of 2011 is $ 1994 ;"], ["table_3", "( in millions ) the average total short-duration advances of 2013 is $ 3749 ; the average total short-duration advances of 2012 is $ 3365 ; the average total short-duration advances of 2011 is $ 3579 ;"]]}, "answers": ["11.4%"]}, "rejected_source": {"id": "STT/2013/page_71.pdf-2", "qa": {"question": "what is the growth rate of the average total short-duration advances from 2011 to 2012?", "answer": "-6.0%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3365", "arg2": "3579", "res": "-214"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3579", "res": "-6.0%"}], "program": "subtract(3365, 3579), divide(#0, 3579)", "gold_inds": {"table_3": "( in millions ) the average total short-duration advances of 2013 is $ 3749 ; the average total short-duration advances of 2012 is $ 3365 ; the average total short-duration advances of 2011 is $ 3579 ;"}, "exe_ans": -0.05979, "tfidftopn": {"table_1": "( in millions ) The average u.s . short-duration advances of 2013 is $ 2356 ; The average u.s . short-duration advances of 2012 is $ 1972 ; The average u.s . short-duration advances of 2011 is $ 1994 ;", "table_2": "( in millions ) The average non-u.s . short-duration advances of 2013 is 1393 ; The average non-u.s . short-duration advances of 2012 is 1393 ; The average non-u.s . short-duration advances of 2011 is 1585 ;"}, "program_re": "divide(subtract(3365, 3579), 3579)", "model_input": [["text_2", "short-duration advances for the years ended december 31 : years ended december 31 ."], ["table_1", "( in millions ) the average u.s . short-duration advances of 2013 is $ 2356 ; the average u.s . short-duration advances of 2012 is $ 1972 ; the average u.s . short-duration advances of 2011 is $ 1994 ;"], ["table_3", "( in millions ) the average total short-duration advances of 2013 is $ 3749 ; the average total short-duration advances of 2012 is $ 3365 ; the average total short-duration advances of 2011 is $ 3579 ;"]]}, "answers": ["-6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000363", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "6%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the operating margin <TIME>?", "doc_prefix": "PKG", "base_question": "what was the operating margin <TIME>?", "original_question": "what was the operating margin for 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "6%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}, {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "7%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "PKG/2006/page_28.pdf-2", "qa": {"question": "what was the operating margin for 2005?", "answer": "6%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "116.1", "arg2": "1993.7", "res": "6%"}], "program": "divide(116.1, 1993.7)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"}, "exe_ans": 0.05823, "tfidftopn": {"text_10": "year ended december 31 , 2005 compared to year ended december 31 , 2004 the historical results of operations of pca for the years ended december 31 , 2005 and 2004 are set forth below : for the year ended december 31 , ( in millions ) 2005 2004 change ."}, "program_re": "divide(116.1, 1993.7)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "PKG/2006/page_28.pdf-1", "qa": {"question": "what was the operating margin for 2004?", "answer": "7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "140.5", "arg2": "1890.1", "res": "7%"}], "program": "divide(140.5, 1890.1)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"}, "exe_ans": 0.07433, "tfidftopn": {"text_10": "year ended december 31 , 2005 compared to year ended december 31 , 2004 the historical results of operations of pca for the years ended december 31 , 2005 and 2004 are set forth below : for the year ended december 31 , ( in millions ) 2005 2004 change ."}, "program_re": "divide(140.5, 1890.1)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000364", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "6%.", "rejected": "8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the operating margin <TIME>?", "doc_prefix": "PKG", "base_question": "what was the operating margin <TIME>?", "original_question": "what was the operating margin for 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "6%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}, {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "7%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "PKG/2006/page_28.pdf-2", "qa": {"question": "what was the operating margin for 2005?", "answer": "6%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "116.1", "arg2": "1993.7", "res": "6%"}], "program": "divide(116.1, 1993.7)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"}, "exe_ans": 0.05823, "tfidftopn": {"text_10": "year ended december 31 , 2005 compared to year ended december 31 , 2004 the historical results of operations of pca for the years ended december 31 , 2005 and 2004 are set forth below : for the year ended december 31 , ( in millions ) 2005 2004 change ."}, "program_re": "divide(116.1, 1993.7)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "PKG/2004/page_23.pdf-4", "qa": {"question": "what was the operating margin for 2002?", "answer": "8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "145.3", "arg2": "1735.9", "res": "8%"}], "program": "divide(145.3, 1735.9)", "gold_inds": {"table_1": "( in millions ) the net sales of 2003 is $ 1735.5 ; the net sales of 2002 is $ 1735.9 ; the net sales of change is $ -0.4 ( 0.4 ) ;", "table_2": "( in millions ) the income before interest and taxes of 2003 is $ 96.9 ; the income before interest and taxes of 2002 is $ 145.3 ; the income before interest and taxes of change is $ -48.4 ( 48.4 ) ;"}, "exe_ans": 0.0837, "tfidftopn": {"text_9": "year ended december 31 , 2003 compared to year ended december 31 , 2002 the historical results of operations of pca for the years ended december 31 , 2003 and 2002 are set forth below : for the year ended december 31 , ( in millions ) 2003 2002 change ."}, "program_re": "divide(145.3, 1735.9)", "model_input": [["table_1", "( in millions ) the net sales of 2003 is $ 1735.5 ; the net sales of 2002 is $ 1735.9 ; the net sales of change is $ -0.4 ( 0.4 ) ;"], ["table_2", "( in millions ) the income before interest and taxes of 2003 is $ 96.9 ; the income before interest and taxes of 2002 is $ 145.3 ; the income before interest and taxes of change is $ -48.4 ( 48.4 ) ;"], ["table_4", "( in millions ) the income ( loss ) before taxes of 2003 is -24.9 ( 24.9 ) ; the income ( loss ) before taxes of 2002 is 77.6 ; the income ( loss ) before taxes of change is -102.5 ( 102.5 ) ;"]]}, "answers": ["8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000365", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "7%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the operating margin <TIME>?", "doc_prefix": "PKG", "base_question": "what was the operating margin <TIME>?", "original_question": "what was the operating margin for 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "6%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}, {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "7%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "PKG/2006/page_28.pdf-1", "qa": {"question": "what was the operating margin for 2004?", "answer": "7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "140.5", "arg2": "1890.1", "res": "7%"}], "program": "divide(140.5, 1890.1)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"}, "exe_ans": 0.07433, "tfidftopn": {"text_10": "year ended december 31 , 2005 compared to year ended december 31 , 2004 the historical results of operations of pca for the years ended december 31 , 2005 and 2004 are set forth below : for the year ended december 31 , ( in millions ) 2005 2004 change ."}, "program_re": "divide(140.5, 1890.1)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "PKG/2006/page_28.pdf-2", "qa": {"question": "what was the operating margin for 2005?", "answer": "6%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "116.1", "arg2": "1993.7", "res": "6%"}], "program": "divide(116.1, 1993.7)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"}, "exe_ans": 0.05823, "tfidftopn": {"text_10": "year ended december 31 , 2005 compared to year ended december 31 , 2004 the historical results of operations of pca for the years ended december 31 , 2005 and 2004 are set forth below : for the year ended december 31 , ( in millions ) 2005 2004 change ."}, "program_re": "divide(116.1, 1993.7)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000366", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "7%.", "rejected": "8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the operating margin <TIME>?", "doc_prefix": "PKG", "base_question": "what was the operating margin <TIME>?", "original_question": "what was the operating margin for 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "6%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}, {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "7%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "PKG/2006/page_28.pdf-1", "qa": {"question": "what was the operating margin for 2004?", "answer": "7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "140.5", "arg2": "1890.1", "res": "7%"}], "program": "divide(140.5, 1890.1)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"}, "exe_ans": 0.07433, "tfidftopn": {"text_10": "year ended december 31 , 2005 compared to year ended december 31 , 2004 the historical results of operations of pca for the years ended december 31 , 2005 and 2004 are set forth below : for the year ended december 31 , ( in millions ) 2005 2004 change ."}, "program_re": "divide(140.5, 1890.1)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "PKG/2004/page_23.pdf-4", "qa": {"question": "what was the operating margin for 2002?", "answer": "8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "145.3", "arg2": "1735.9", "res": "8%"}], "program": "divide(145.3, 1735.9)", "gold_inds": {"table_1": "( in millions ) the net sales of 2003 is $ 1735.5 ; the net sales of 2002 is $ 1735.9 ; the net sales of change is $ -0.4 ( 0.4 ) ;", "table_2": "( in millions ) the income before interest and taxes of 2003 is $ 96.9 ; the income before interest and taxes of 2002 is $ 145.3 ; the income before interest and taxes of change is $ -48.4 ( 48.4 ) ;"}, "exe_ans": 0.0837, "tfidftopn": {"text_9": "year ended december 31 , 2003 compared to year ended december 31 , 2002 the historical results of operations of pca for the years ended december 31 , 2003 and 2002 are set forth below : for the year ended december 31 , ( in millions ) 2003 2002 change ."}, "program_re": "divide(145.3, 1735.9)", "model_input": [["table_1", "( in millions ) the net sales of 2003 is $ 1735.5 ; the net sales of 2002 is $ 1735.9 ; the net sales of change is $ -0.4 ( 0.4 ) ;"], ["table_2", "( in millions ) the income before interest and taxes of 2003 is $ 96.9 ; the income before interest and taxes of 2002 is $ 145.3 ; the income before interest and taxes of change is $ -48.4 ( 48.4 ) ;"], ["table_4", "( in millions ) the income ( loss ) before taxes of 2003 is -24.9 ( 24.9 ) ; the income ( loss ) before taxes of 2002 is 77.6 ; the income ( loss ) before taxes of change is -102.5 ( 102.5 ) ;"]]}, "answers": ["8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000367", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for 2002?\nReference time interval: 2002-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "8%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the operating margin <TIME>?", "doc_prefix": "PKG", "base_question": "what was the operating margin <TIME>?", "original_question": "what was the operating margin for 2002?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "6%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}, {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "7%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "PKG/2004/page_23.pdf-4", "qa": {"question": "what was the operating margin for 2002?", "answer": "8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "145.3", "arg2": "1735.9", "res": "8%"}], "program": "divide(145.3, 1735.9)", "gold_inds": {"table_1": "( in millions ) the net sales of 2003 is $ 1735.5 ; the net sales of 2002 is $ 1735.9 ; the net sales of change is $ -0.4 ( 0.4 ) ;", "table_2": "( in millions ) the income before interest and taxes of 2003 is $ 96.9 ; the income before interest and taxes of 2002 is $ 145.3 ; the income before interest and taxes of change is $ -48.4 ( 48.4 ) ;"}, "exe_ans": 0.0837, "tfidftopn": {"text_9": "year ended december 31 , 2003 compared to year ended december 31 , 2002 the historical results of operations of pca for the years ended december 31 , 2003 and 2002 are set forth below : for the year ended december 31 , ( in millions ) 2003 2002 change ."}, "program_re": "divide(145.3, 1735.9)", "model_input": [["table_1", "( in millions ) the net sales of 2003 is $ 1735.5 ; the net sales of 2002 is $ 1735.9 ; the net sales of change is $ -0.4 ( 0.4 ) ;"], ["table_2", "( in millions ) the income before interest and taxes of 2003 is $ 96.9 ; the income before interest and taxes of 2002 is $ 145.3 ; the income before interest and taxes of change is $ -48.4 ( 48.4 ) ;"], ["table_4", "( in millions ) the income ( loss ) before taxes of 2003 is -24.9 ( 24.9 ) ; the income ( loss ) before taxes of 2002 is 77.6 ; the income ( loss ) before taxes of change is -102.5 ( 102.5 ) ;"]]}, "answers": ["8%"]}, "rejected_source": {"id": "PKG/2006/page_28.pdf-2", "qa": {"question": "what was the operating margin for 2005?", "answer": "6%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "116.1", "arg2": "1993.7", "res": "6%"}], "program": "divide(116.1, 1993.7)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"}, "exe_ans": 0.05823, "tfidftopn": {"text_10": "year ended december 31 , 2005 compared to year ended december 31 , 2004 the historical results of operations of pca for the years ended december 31 , 2005 and 2004 are set forth below : for the year ended december 31 , ( in millions ) 2005 2004 change ."}, "program_re": "divide(116.1, 1993.7)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000368", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for 2002?\nReference time interval: 2002-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "8%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the operating margin <TIME>?", "doc_prefix": "PKG", "base_question": "what was the operating margin <TIME>?", "original_question": "what was the operating margin for 2002?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "6%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}, {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "7%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "PKG/2004/page_23.pdf-4", "qa": {"question": "what was the operating margin for 2002?", "answer": "8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "145.3", "arg2": "1735.9", "res": "8%"}], "program": "divide(145.3, 1735.9)", "gold_inds": {"table_1": "( in millions ) the net sales of 2003 is $ 1735.5 ; the net sales of 2002 is $ 1735.9 ; the net sales of change is $ -0.4 ( 0.4 ) ;", "table_2": "( in millions ) the income before interest and taxes of 2003 is $ 96.9 ; the income before interest and taxes of 2002 is $ 145.3 ; the income before interest and taxes of change is $ -48.4 ( 48.4 ) ;"}, "exe_ans": 0.0837, "tfidftopn": {"text_9": "year ended december 31 , 2003 compared to year ended december 31 , 2002 the historical results of operations of pca for the years ended december 31 , 2003 and 2002 are set forth below : for the year ended december 31 , ( in millions ) 2003 2002 change ."}, "program_re": "divide(145.3, 1735.9)", "model_input": [["table_1", "( in millions ) the net sales of 2003 is $ 1735.5 ; the net sales of 2002 is $ 1735.9 ; the net sales of change is $ -0.4 ( 0.4 ) ;"], ["table_2", "( in millions ) the income before interest and taxes of 2003 is $ 96.9 ; the income before interest and taxes of 2002 is $ 145.3 ; the income before interest and taxes of change is $ -48.4 ( 48.4 ) ;"], ["table_4", "( in millions ) the income ( loss ) before taxes of 2003 is -24.9 ( 24.9 ) ; the income ( loss ) before taxes of 2002 is 77.6 ; the income ( loss ) before taxes of change is -102.5 ( 102.5 ) ;"]]}, "answers": ["8%"]}, "rejected_source": {"id": "PKG/2006/page_28.pdf-1", "qa": {"question": "what was the operating margin for 2004?", "answer": "7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "140.5", "arg2": "1890.1", "res": "7%"}], "program": "divide(140.5, 1890.1)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"}, "exe_ans": 0.07433, "tfidftopn": {"text_10": "year ended december 31 , 2005 compared to year ended december 31 , 2004 the historical results of operations of pca for the years ended december 31 , 2005 and 2004 are set forth below : for the year ended december 31 , ( in millions ) 2005 2004 change ."}, "program_re": "divide(140.5, 1890.1)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of change is $ 103.6 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of for the year ended december 31 , 2004 is $ 140.5 ; the income from operations of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000369", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2003 for entergy arkansas , inc.?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "-97.2.", "rejected": "158.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the net change in net revenue during 2003 for entergy arkansas , inc.?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-97.2": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "36.1": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "158.3": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-4", "qa": {"question": "what is the net change in net revenue during 2003 for entergy arkansas , inc.?", "answer": "-97.2", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "998.7", "arg2": "1095.9", "res": "-97.2"}], "program": "subtract(998.7, 1095.9)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;"}, "exe_ans": -97.2, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "subtract(998.7, 1095.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["-97.2"]}, "rejected_source": {"id": "ETR/2016/page_315.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016 for entergy arkansas , inc.?", "answer": "158.3", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1520.5", "arg2": "1362.2", "res": "158.3"}], "program": "subtract(1520.5, 1362.2)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;", "table_4": "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"}, "exe_ans": 158.3, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "subtract(1520.5, 1362.2)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;"], ["table_3", "the other of amount ( in millions ) is -3.2 ( 3.2 ) ;"], ["table_4", "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"]]}, "answers": ["158.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000370", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2003 for entergy arkansas , inc.?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "-97.2.", "rejected": "36.1.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the net change in net revenue during 2003 for entergy arkansas , inc.?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-97.2": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "36.1": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "158.3": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-4", "qa": {"question": "what is the net change in net revenue during 2003 for entergy arkansas , inc.?", "answer": "-97.2", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "998.7", "arg2": "1095.9", "res": "-97.2"}], "program": "subtract(998.7, 1095.9)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;"}, "exe_ans": -97.2, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "subtract(998.7, 1095.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["-97.2"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-4", "qa": {"question": "what is the net change in net revenue during 2007 for entergy arkansas , inc.?", "answer": "36.1", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1110.6", "arg2": "1074.5", "res": "36.1"}], "program": "subtract(1110.6, 1074.5)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": 36.1, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "subtract(1110.6, 1074.5)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_5", "the other of amount ( in millions ) is 2.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["36.1"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000371", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2016 for entergy arkansas , inc.?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "158.3.", "rejected": "-97.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the net change in net revenue during 2016 for entergy arkansas , inc.?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-97.2": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "36.1": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "158.3": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2016/page_315.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016 for entergy arkansas , inc.?", "answer": "158.3", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1520.5", "arg2": "1362.2", "res": "158.3"}], "program": "subtract(1520.5, 1362.2)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;", "table_4": "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"}, "exe_ans": 158.3, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "subtract(1520.5, 1362.2)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;"], ["table_3", "the other of amount ( in millions ) is -3.2 ( 3.2 ) ;"], ["table_4", "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"]]}, "answers": ["158.3"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-4", "qa": {"question": "what is the net change in net revenue during 2003 for entergy arkansas , inc.?", "answer": "-97.2", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "998.7", "arg2": "1095.9", "res": "-97.2"}], "program": "subtract(998.7, 1095.9)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;"}, "exe_ans": -97.2, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "subtract(998.7, 1095.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["-97.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000372", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2016 for entergy arkansas , inc.?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "158.3.", "rejected": "36.1.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the net change in net revenue during 2016 for entergy arkansas , inc.?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-97.2": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "36.1": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "158.3": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2016/page_315.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016 for entergy arkansas , inc.?", "answer": "158.3", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1520.5", "arg2": "1362.2", "res": "158.3"}], "program": "subtract(1520.5, 1362.2)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;", "table_4": "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"}, "exe_ans": 158.3, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "subtract(1520.5, 1362.2)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;"], ["table_3", "the other of amount ( in millions ) is -3.2 ( 3.2 ) ;"], ["table_4", "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"]]}, "answers": ["158.3"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-4", "qa": {"question": "what is the net change in net revenue during 2007 for entergy arkansas , inc.?", "answer": "36.1", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1110.6", "arg2": "1074.5", "res": "36.1"}], "program": "subtract(1110.6, 1074.5)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": 36.1, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "subtract(1110.6, 1074.5)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_5", "the other of amount ( in millions ) is 2.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["36.1"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000373", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2007 for entergy arkansas , inc.?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "36.1.", "rejected": "-97.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the net change in net revenue during 2007 for entergy arkansas , inc.?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-97.2": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "36.1": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "158.3": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-4", "qa": {"question": "what is the net change in net revenue during 2007 for entergy arkansas , inc.?", "answer": "36.1", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1110.6", "arg2": "1074.5", "res": "36.1"}], "program": "subtract(1110.6, 1074.5)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": 36.1, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "subtract(1110.6, 1074.5)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_5", "the other of amount ( in millions ) is 2.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["36.1"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-4", "qa": {"question": "what is the net change in net revenue during 2003 for entergy arkansas , inc.?", "answer": "-97.2", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "998.7", "arg2": "1095.9", "res": "-97.2"}], "program": "subtract(998.7, 1095.9)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;"}, "exe_ans": -97.2, "tfidftopn": {"text_4": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "subtract(998.7, 1095.9)", "model_input": [["text_4", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["-97.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000374", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2007 for entergy arkansas , inc.?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "36.1.", "rejected": "158.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the net change in net revenue during 2007 for entergy arkansas , inc.?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-97.2": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "36.1": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "158.3": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-4", "qa": {"question": "what is the net change in net revenue during 2007 for entergy arkansas , inc.?", "answer": "36.1", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1110.6", "arg2": "1074.5", "res": "36.1"}], "program": "subtract(1110.6, 1074.5)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": 36.1, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "subtract(1110.6, 1074.5)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_5", "the other of amount ( in millions ) is 2.5 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["36.1"]}, "rejected_source": {"id": "ETR/2016/page_315.pdf-2", "qa": {"question": "what is the net change in net revenue during 2016 for entergy arkansas , inc.?", "answer": "158.3", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1520.5", "arg2": "1362.2", "res": "158.3"}], "program": "subtract(1520.5, 1362.2)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;", "table_4": "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"}, "exe_ans": 158.3, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "subtract(1520.5, 1362.2)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;"], ["table_3", "the other of amount ( in millions ) is -3.2 ( 3.2 ) ;"], ["table_4", "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"]]}, "answers": ["158.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000375", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the allowance for loan losses from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "80%.", "rejected": "84%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what was the percentage change in the allowance for loan losses <TIME>?", "doc_prefix": "C", "base_question": "what was the percentage change in the allowance for loan losses <TIME>?", "original_question": "what was the percentage change in the allowance for loan losses from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"80%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "84%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "C/2009/page_195.pdf-2", "qa": {"question": "what was the percentage change in the allowance for loan losses from 2007 to 2008?", "answer": "80%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "16117", "arg2": "8940", "res": "7177"}, {"op": "divide2-2", "arg1": "#0", "arg2": "8940", "res": "80%"}], "program": "subtract(16117, 8940), divide(#0, 8940)", "gold_inds": {"table_1": "in millions of dollars the allowance for loan losses at beginning of year of 2009 is $ 29616 ; the allowance for loan losses at beginning of year of 2008 ( 1 ) is $ 16117 ; the allowance for loan losses at beginning of year of 2007 ( 1 ) is $ 8940 ;"}, "exe_ans": 0.8028, "tfidftopn": {"table_10": "in millions of dollars The allowance for loan losses at end of year of 2009 is $ 36033 ; The allowance for loan losses at end of year of 2008 ( 1 ) is $ 29616 ; The allowance for loan losses at end of year of 2007 ( 1 ) is $ 16117 ;", "text_1": "allowance for credit losses ."}, "program_re": "divide(subtract(16117, 8940), 8940)", "model_input": [["table_1", "in millions of dollars the allowance for loan losses at beginning of year of 2009 is $ 29616 ; the allowance for loan losses at beginning of year of 2008 ( 1 ) is $ 16117 ; the allowance for loan losses at beginning of year of 2007 ( 1 ) is $ 8940 ;"], ["table_10", "in millions of dollars the allowance for loan losses at end of year of 2009 is $ 36033 ; the allowance for loan losses at end of year of 2008 ( 1 ) is $ 29616 ; the allowance for loan losses at end of year of 2007 ( 1 ) is $ 16117 ;"], ["table_14", "in millions of dollars the total allowance for loans leases and unfunded lending commitments of 2009 is $ 37190 ; the total allowance for loans leases and unfunded lending commitments of 2008 ( 1 ) is $ 30503 ; the total allowance for loans leases and unfunded lending commitments of 2007 ( 1 ) is $ 17367 ;"]]}, "answers": ["80%"]}, "rejected_source": {"id": "C/2009/page_195.pdf-1", "qa": {"question": "what was the percentage change in the allowance for loan losses from 2008 to 2009?", "answer": "84%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29616", "arg2": "16117", "res": "13499"}, {"op": "divide1-2", "arg1": "#0", "arg2": "16117", "res": "84%"}], "program": "subtract(29616, 16117), divide(#0, 16117)", "gold_inds": {"table_1": "in millions of dollars the allowance for loan losses at beginning of year of 2009 is $ 29616 ; the allowance for loan losses at beginning of year of 2008 ( 1 ) is $ 16117 ; the allowance for loan losses at beginning of year of 2007 ( 1 ) is $ 8940 ;"}, "exe_ans": 0.83756, "tfidftopn": {"table_10": "in millions of dollars The allowance for loan losses at end of year of 2009 is $ 36033 ; The allowance for loan losses at end of year of 2008 ( 1 ) is $ 29616 ; The allowance for loan losses at end of year of 2007 ( 1 ) is $ 16117 ;", "text_1": "allowance for credit losses ."}, "program_re": "divide(subtract(29616, 16117), 16117)", "model_input": [["table_1", "in millions of dollars the allowance for loan losses at beginning of year of 2009 is $ 29616 ; the allowance for loan losses at beginning of year of 2008 ( 1 ) is $ 16117 ; the allowance for loan losses at beginning of year of 2007 ( 1 ) is $ 8940 ;"], ["table_10", "in millions of dollars the allowance for loan losses at end of year of 2009 is $ 36033 ; the allowance for loan losses at end of year of 2008 ( 1 ) is $ 29616 ; the allowance for loan losses at end of year of 2007 ( 1 ) is $ 16117 ;"], ["table_14", "in millions of dollars the total allowance for loans leases and unfunded lending commitments of 2009 is $ 37190 ; the total allowance for loans leases and unfunded lending commitments of 2008 ( 1 ) is $ 30503 ; the total allowance for loans leases and unfunded lending commitments of 2007 ( 1 ) is $ 17367 ;"]]}, "answers": ["84%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000376", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the allowance for loan losses from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "84%.", "rejected": "80%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what was the percentage change in the allowance for loan losses <TIME>?", "doc_prefix": "C", "base_question": "what was the percentage change in the allowance for loan losses <TIME>?", "original_question": "what was the percentage change in the allowance for loan losses from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"80%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "84%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "C/2009/page_195.pdf-1", "qa": {"question": "what was the percentage change in the allowance for loan losses from 2008 to 2009?", "answer": "84%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29616", "arg2": "16117", "res": "13499"}, {"op": "divide1-2", "arg1": "#0", "arg2": "16117", "res": "84%"}], "program": "subtract(29616, 16117), divide(#0, 16117)", "gold_inds": {"table_1": "in millions of dollars the allowance for loan losses at beginning of year of 2009 is $ 29616 ; the allowance for loan losses at beginning of year of 2008 ( 1 ) is $ 16117 ; the allowance for loan losses at beginning of year of 2007 ( 1 ) is $ 8940 ;"}, "exe_ans": 0.83756, "tfidftopn": {"table_10": "in millions of dollars The allowance for loan losses at end of year of 2009 is $ 36033 ; The allowance for loan losses at end of year of 2008 ( 1 ) is $ 29616 ; The allowance for loan losses at end of year of 2007 ( 1 ) is $ 16117 ;", "text_1": "allowance for credit losses ."}, "program_re": "divide(subtract(29616, 16117), 16117)", "model_input": [["table_1", "in millions of dollars the allowance for loan losses at beginning of year of 2009 is $ 29616 ; the allowance for loan losses at beginning of year of 2008 ( 1 ) is $ 16117 ; the allowance for loan losses at beginning of year of 2007 ( 1 ) is $ 8940 ;"], ["table_10", "in millions of dollars the allowance for loan losses at end of year of 2009 is $ 36033 ; the allowance for loan losses at end of year of 2008 ( 1 ) is $ 29616 ; the allowance for loan losses at end of year of 2007 ( 1 ) is $ 16117 ;"], ["table_14", "in millions of dollars the total allowance for loans leases and unfunded lending commitments of 2009 is $ 37190 ; the total allowance for loans leases and unfunded lending commitments of 2008 ( 1 ) is $ 30503 ; the total allowance for loans leases and unfunded lending commitments of 2007 ( 1 ) is $ 17367 ;"]]}, "answers": ["84%"]}, "rejected_source": {"id": "C/2009/page_195.pdf-2", "qa": {"question": "what was the percentage change in the allowance for loan losses from 2007 to 2008?", "answer": "80%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "16117", "arg2": "8940", "res": "7177"}, {"op": "divide2-2", "arg1": "#0", "arg2": "8940", "res": "80%"}], "program": "subtract(16117, 8940), divide(#0, 8940)", "gold_inds": {"table_1": "in millions of dollars the allowance for loan losses at beginning of year of 2009 is $ 29616 ; the allowance for loan losses at beginning of year of 2008 ( 1 ) is $ 16117 ; the allowance for loan losses at beginning of year of 2007 ( 1 ) is $ 8940 ;"}, "exe_ans": 0.8028, "tfidftopn": {"table_10": "in millions of dollars The allowance for loan losses at end of year of 2009 is $ 36033 ; The allowance for loan losses at end of year of 2008 ( 1 ) is $ 29616 ; The allowance for loan losses at end of year of 2007 ( 1 ) is $ 16117 ;", "text_1": "allowance for credit losses ."}, "program_re": "divide(subtract(16117, 8940), 8940)", "model_input": [["table_1", "in millions of dollars the allowance for loan losses at beginning of year of 2009 is $ 29616 ; the allowance for loan losses at beginning of year of 2008 ( 1 ) is $ 16117 ; the allowance for loan losses at beginning of year of 2007 ( 1 ) is $ 8940 ;"], ["table_10", "in millions of dollars the allowance for loan losses at end of year of 2009 is $ 36033 ; the allowance for loan losses at end of year of 2008 ( 1 ) is $ 29616 ; the allowance for loan losses at end of year of 2007 ( 1 ) is $ 16117 ;"], ["table_14", "in millions of dollars the total allowance for loans leases and unfunded lending commitments of 2009 is $ 37190 ; the total allowance for loans leases and unfunded lending commitments of 2008 ( 1 ) is $ 30503 ; the total allowance for loans leases and unfunded lending commitments of 2007 ( 1 ) is $ 17367 ;"]]}, "answers": ["80%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000377", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in weighted average fair value of options granted in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-44.9%.", "rejected": "20.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "KIM || what is the growth rate in weighted average fair value of options granted <TIME>?", "doc_prefix": "KIM", "base_question": "what is the growth rate in weighted average fair value of options granted <TIME>?", "original_question": "what is the growth rate in weighted average fair value of options granted in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-44.9%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "20.9%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "KIM/2010/page_103.pdf-2", "qa": {"question": "what is the growth rate in weighted average fair value of options granted in 2009?", "answer": "-44.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3.16", "arg2": "5.73", "res": "-2.6"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5.73", "res": "-44.9%"}], "program": "subtract(3.16, 5.73), divide(#0, 5.73)", "gold_inds": {"table_1": "2009 the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.82 ; the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.16 ; the weighted average fair value of options granted of year ended december 31 2010 is $ 5.73 ;"}, "exe_ans": -0.44852, "tfidftopn": {"text_19": "the more significant assumptions underlying the determination of fair values for options granted during 2010 , 2009 and 2008 were as follows : year ended december 31 , 2010 2009 2008 .", "table_3": "2009 The weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; The weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; The weighted average expected option lives ( in years ) of year ended december 31 2010 is 6.38 ;"}, "program_re": "divide(subtract(3.16, 5.73), 5.73)", "model_input": [["table_1", "2009 the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.82 ; the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.16 ; the weighted average fair value of options granted of year ended december 31 2010 is $ 5.73 ;"], ["table_3", "2009 the weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; the weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; the weighted average expected option lives ( in years ) of year ended december 31 2010 is 6.38 ;"], ["table_5", "2009 the weighted average expected dividend yield of year ended december 31 2010 2009 is 4.21% ( 4.21 % ) ; the weighted average expected dividend yield of year ended december 31 2010 2009 is 5.48% ( 5.48 % ) ; the weighted average expected dividend yield of year ended december 31 2010 is 4.33% ( 4.33 % ) ;"]]}, "answers": ["-44.9%"]}, "rejected_source": {"id": "KIM/2010/page_103.pdf-1", "qa": {"question": "what is the growth rate in weighted average fair value of options granted in 2010?", "answer": "20.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "3.82", "arg2": "3.16", "res": "0.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3.16", "res": "20.9%"}], "program": "subtract(3.82, 3.16), divide(#0, 3.16)", "gold_inds": {"table_1": "2009 the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.82 ; the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.16 ; the weighted average fair value of options granted of year ended december 31 2010 is $ 5.73 ;"}, "exe_ans": 0.20886, "tfidftopn": {"text_19": "the more significant assumptions underlying the determination of fair values for options granted during 2010 , 2009 and 2008 were as follows : year ended december 31 , 2010 2009 2008 .", "table_3": "2009 The weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; The weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; The weighted average expected option lives ( in years ) of year ended december 31 2010 is 6.38 ;"}, "program_re": "divide(subtract(3.82, 3.16), 3.16)", "model_input": [["table_1", "2009 the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.82 ; the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.16 ; the weighted average fair value of options granted of year ended december 31 2010 is $ 5.73 ;"], ["table_3", "2009 the weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; the weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; the weighted average expected option lives ( in years ) of year ended december 31 2010 is 6.38 ;"], ["table_5", "2009 the weighted average expected dividend yield of year ended december 31 2010 2009 is 4.21% ( 4.21 % ) ; the weighted average expected dividend yield of year ended december 31 2010 2009 is 5.48% ( 5.48 % ) ; the weighted average expected dividend yield of year ended december 31 2010 is 4.33% ( 4.33 % ) ;"]]}, "answers": ["20.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000378", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in weighted average fair value of options granted in 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "20.9%.", "rejected": "-44.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "KIM || what is the growth rate in weighted average fair value of options granted <TIME>?", "doc_prefix": "KIM", "base_question": "what is the growth rate in weighted average fair value of options granted <TIME>?", "original_question": "what is the growth rate in weighted average fair value of options granted in 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-44.9%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "20.9%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "KIM/2010/page_103.pdf-1", "qa": {"question": "what is the growth rate in weighted average fair value of options granted in 2010?", "answer": "20.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "3.82", "arg2": "3.16", "res": "0.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3.16", "res": "20.9%"}], "program": "subtract(3.82, 3.16), divide(#0, 3.16)", "gold_inds": {"table_1": "2009 the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.82 ; the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.16 ; the weighted average fair value of options granted of year ended december 31 2010 is $ 5.73 ;"}, "exe_ans": 0.20886, "tfidftopn": {"text_19": "the more significant assumptions underlying the determination of fair values for options granted during 2010 , 2009 and 2008 were as follows : year ended december 31 , 2010 2009 2008 .", "table_3": "2009 The weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; The weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; The weighted average expected option lives ( in years ) of year ended december 31 2010 is 6.38 ;"}, "program_re": "divide(subtract(3.82, 3.16), 3.16)", "model_input": [["table_1", "2009 the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.82 ; the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.16 ; the weighted average fair value of options granted of year ended december 31 2010 is $ 5.73 ;"], ["table_3", "2009 the weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; the weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; the weighted average expected option lives ( in years ) of year ended december 31 2010 is 6.38 ;"], ["table_5", "2009 the weighted average expected dividend yield of year ended december 31 2010 2009 is 4.21% ( 4.21 % ) ; the weighted average expected dividend yield of year ended december 31 2010 2009 is 5.48% ( 5.48 % ) ; the weighted average expected dividend yield of year ended december 31 2010 is 4.33% ( 4.33 % ) ;"]]}, "answers": ["20.9%"]}, "rejected_source": {"id": "KIM/2010/page_103.pdf-2", "qa": {"question": "what is the growth rate in weighted average fair value of options granted in 2009?", "answer": "-44.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3.16", "arg2": "5.73", "res": "-2.6"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5.73", "res": "-44.9%"}], "program": "subtract(3.16, 5.73), divide(#0, 5.73)", "gold_inds": {"table_1": "2009 the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.82 ; the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.16 ; the weighted average fair value of options granted of year ended december 31 2010 is $ 5.73 ;"}, "exe_ans": -0.44852, "tfidftopn": {"text_19": "the more significant assumptions underlying the determination of fair values for options granted during 2010 , 2009 and 2008 were as follows : year ended december 31 , 2010 2009 2008 .", "table_3": "2009 The weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; The weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; The weighted average expected option lives ( in years ) of year ended december 31 2010 is 6.38 ;"}, "program_re": "divide(subtract(3.16, 5.73), 5.73)", "model_input": [["table_1", "2009 the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.82 ; the weighted average fair value of options granted of year ended december 31 2010 2009 is $ 3.16 ; the weighted average fair value of options granted of year ended december 31 2010 is $ 5.73 ;"], ["table_3", "2009 the weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; the weighted average expected option lives ( in years ) of year ended december 31 2010 2009 is 6.25 ; the weighted average expected option lives ( in years ) of year ended december 31 2010 is 6.38 ;"], ["table_5", "2009 the weighted average expected dividend yield of year ended december 31 2010 2009 is 4.21% ( 4.21 % ) ; the weighted average expected dividend yield of year ended december 31 2010 2009 is 5.48% ( 5.48 % ) ; the weighted average expected dividend yield of year ended december 31 2010 is 4.33% ( 4.33 % ) ;"]]}, "answers": ["-44.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000379", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: how is cash flow of entergy arkansas affected by the change in balance of money pool from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-1510.", "rejected": "54960.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || how is cash flow of entergy arkansas affected by the change in balance of money pool <TIME>?", "doc_prefix": "ETR", "base_question": "how is cash flow of entergy arkansas affected by the change in balance of money pool <TIME>?", "original_question": "how is cash flow of entergy arkansas affected by the change in balance of money pool from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"54960": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-1510": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "ETR/2016/page_324.pdf-1", "qa": {"question": "how is cash flow of entergy arkansas affected by the change in balance of money pool from 2015 to 2016?", "answer": "-1510", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "51232", "arg2": "52742", "res": "-1510"}], "program": "subtract(51232, 52742)", "gold_inds": {"table_2": "2016 the ( $ 51232 ) of 2015 is ( $ 52742 ) ; the ( $ 51232 ) of 2014 is $ 2218 ; the ( $ 51232 ) of 2013 is $ 17531 ;"}, "exe_ans": -1510.0, "tfidftopn": {"text_8": "see note 4 to the financial statements for a description of the money pool .", "text_7": "entergy arkansas 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."}, "program_re": "subtract(51232, 52742)", "model_input": [["text_7", "entergy arkansas 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the ( $ 51232 ) of 2015 is ( $ 52742 ) ; the ( $ 51232 ) of 2014 is $ 2218 ; the ( $ 51232 ) of 2013 is $ 17531 ;"]]}, "answers": ["-1510"]}, "rejected_source": {"id": "ETR/2016/page_324.pdf-3", "qa": {"question": "how is cash flow of entergy arkansas affected by the change in balance of money pool from 2014 to 2015?", "answer": "54960", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "52742", "arg2": "2218", "res": "54960"}], "program": "add(52742, 2218)", "gold_inds": {"table_2": "2016 the ( $ 51232 ) of 2015 is ( $ 52742 ) ; the ( $ 51232 ) of 2014 is $ 2218 ; the ( $ 51232 ) of 2013 is $ 17531 ;"}, "exe_ans": 54960.0, "tfidftopn": {"text_8": "see note 4 to the financial statements for a description of the money pool .", "text_7": "entergy arkansas 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."}, "program_re": "add(52742, 2218)", "model_input": [["text_7", "entergy arkansas 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the ( $ 51232 ) of 2015 is ( $ 52742 ) ; the ( $ 51232 ) of 2014 is $ 2218 ; the ( $ 51232 ) of 2013 is $ 17531 ;"]]}, "answers": ["54960"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000380", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: how is cash flow of entergy arkansas affected by the change in balance of money pool from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "54960.", "rejected": "-1510.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || how is cash flow of entergy arkansas affected by the change in balance of money pool <TIME>?", "doc_prefix": "ETR", "base_question": "how is cash flow of entergy arkansas affected by the change in balance of money pool <TIME>?", "original_question": "how is cash flow of entergy arkansas affected by the change in balance of money pool from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"54960": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-1510": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "ETR/2016/page_324.pdf-3", "qa": {"question": "how is cash flow of entergy arkansas affected by the change in balance of money pool from 2014 to 2015?", "answer": "54960", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "52742", "arg2": "2218", "res": "54960"}], "program": "add(52742, 2218)", "gold_inds": {"table_2": "2016 the ( $ 51232 ) of 2015 is ( $ 52742 ) ; the ( $ 51232 ) of 2014 is $ 2218 ; the ( $ 51232 ) of 2013 is $ 17531 ;"}, "exe_ans": 54960.0, "tfidftopn": {"text_8": "see note 4 to the financial statements for a description of the money pool .", "text_7": "entergy arkansas 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."}, "program_re": "add(52742, 2218)", "model_input": [["text_7", "entergy arkansas 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the ( $ 51232 ) of 2015 is ( $ 52742 ) ; the ( $ 51232 ) of 2014 is $ 2218 ; the ( $ 51232 ) of 2013 is $ 17531 ;"]]}, "answers": ["54960"]}, "rejected_source": {"id": "ETR/2016/page_324.pdf-1", "qa": {"question": "how is cash flow of entergy arkansas affected by the change in balance of money pool from 2015 to 2016?", "answer": "-1510", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "51232", "arg2": "52742", "res": "-1510"}], "program": "subtract(51232, 52742)", "gold_inds": {"table_2": "2016 the ( $ 51232 ) of 2015 is ( $ 52742 ) ; the ( $ 51232 ) of 2014 is $ 2218 ; the ( $ 51232 ) of 2013 is $ 17531 ;"}, "exe_ans": -1510.0, "tfidftopn": {"text_8": "see note 4 to the financial statements for a description of the money pool .", "text_7": "entergy arkansas 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."}, "program_re": "subtract(51232, 52742)", "model_input": [["text_7", "entergy arkansas 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the ( $ 51232 ) of 2015 is ( $ 52742 ) ; the ( $ 51232 ) of 2014 is $ 2218 ; the ( $ 51232 ) of 2013 is $ 17531 ;"]]}, "answers": ["-1510"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000381", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of the net change in revenue between 2007 and 2008 was due to fuel recovery?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-530%.", "rejected": "109%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what percent of the net change in revenue <TIME> was due to fuel recovery?", "doc_prefix": "ETR", "base_question": "what percent of the net change in revenue <TIME> was due to fuel recovery?", "original_question": "what percent of the net change in revenue between 2007 and 2008 was due to fuel recovery?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"109%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "-530%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}]}, "chosen_source": {"id": "ETR/2008/page_376.pdf-3", "qa": {"question": "what percent of the net change in revenue between 2007 and 2008 was due to fuel recovery?", "answer": "-530%", "explanation": "", "ann_table_rows": [1, 5, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide1-2", "arg1": "7.5", "arg2": "#0", "res": "-530%"}], "program": "subtract(440.9, 442.3), divide(7.5, #0)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;", "table_5": "the fuel recovery of amount ( in millions ) is 7.5 ;", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"}, "exe_ans": -5.35714, "tfidftopn": {}, "program_re": "divide(7.5, subtract(440.9, 442.3))", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_5", "the fuel recovery of amount ( in millions ) is 7.5 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"]]}, "answers": ["-530%"]}, "rejected_source": {"id": "ETR/2008/page_356.pdf-2", "qa": {"question": "what percent of the net change in revenue between 2006 and 2007 was due to fuel recovery?", "answer": "109%", "explanation": "", "ann_table_rows": [1, 2, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "231.0", "arg2": "192.2", "res": "38.8"}, {"op": "divide2-2", "arg1": "42.6", "arg2": "#0", "res": "109%"}], "program": "subtract(231.0, 192.2), divide(42.6, #0)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 192.2 ;", "table_2": "the fuel recovery of amount ( in millions ) is 42.6 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 231.0 ;"}, "exe_ans": 1.09794, "tfidftopn": {}, "program_re": "divide(42.6, subtract(231.0, 192.2))", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 192.2 ;"], ["table_2", "the fuel recovery of amount ( in millions ) is 42.6 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 231.0 ;"]]}, "answers": ["109%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000382", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of the net change in revenue between 2006 and 2007 was due to fuel recovery?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "109%.", "rejected": "-530%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what percent of the net change in revenue <TIME> was due to fuel recovery?", "doc_prefix": "ETR", "base_question": "what percent of the net change in revenue <TIME> was due to fuel recovery?", "original_question": "what percent of the net change in revenue between 2006 and 2007 was due to fuel recovery?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"109%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}], "-530%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}]}, "chosen_source": {"id": "ETR/2008/page_356.pdf-2", "qa": {"question": "what percent of the net change in revenue between 2006 and 2007 was due to fuel recovery?", "answer": "109%", "explanation": "", "ann_table_rows": [1, 2, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "231.0", "arg2": "192.2", "res": "38.8"}, {"op": "divide2-2", "arg1": "42.6", "arg2": "#0", "res": "109%"}], "program": "subtract(231.0, 192.2), divide(42.6, #0)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 192.2 ;", "table_2": "the fuel recovery of amount ( in millions ) is 42.6 ;", "table_7": "the 2007 net revenue of amount ( in millions ) is $ 231.0 ;"}, "exe_ans": 1.09794, "tfidftopn": {}, "program_re": "divide(42.6, subtract(231.0, 192.2))", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 192.2 ;"], ["table_2", "the fuel recovery of amount ( in millions ) is 42.6 ;"], ["table_7", "the 2007 net revenue of amount ( in millions ) is $ 231.0 ;"]]}, "answers": ["109%"]}, "rejected_source": {"id": "ETR/2008/page_376.pdf-3", "qa": {"question": "what percent of the net change in revenue between 2007 and 2008 was due to fuel recovery?", "answer": "-530%", "explanation": "", "ann_table_rows": [1, 5, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "440.9", "arg2": "442.3", "res": "-1.4"}, {"op": "divide1-2", "arg1": "7.5", "arg2": "#0", "res": "-530%"}], "program": "subtract(440.9, 442.3), divide(7.5, #0)", "gold_inds": {"table_1": "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;", "table_5": "the fuel recovery of amount ( in millions ) is 7.5 ;", "table_7": "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"}, "exe_ans": -5.35714, "tfidftopn": {}, "program_re": "divide(7.5, subtract(440.9, 442.3))", "model_input": [["table_1", "the 2007 net revenue of amount ( in millions ) is $ 442.3 ;"], ["table_5", "the fuel recovery of amount ( in millions ) is 7.5 ;"], ["table_7", "the 2008 net revenue of amount ( in millions ) is $ 440.9 ;"]]}, "answers": ["-530%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000383", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in interest expense from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "11.2%.", "rejected": "15.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what is the percentage change in interest expense <TIME>?", "doc_prefix": "BLL", "base_question": "what is the percentage change in interest expense <TIME>?", "original_question": "what is the percentage change in interest expense from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "11.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "BLL/2007/page_75.pdf-4", "qa": {"question": "what is the percentage change in interest expense from 2006 to 2007?", "answer": "11.2%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "149.4", "arg2": "134.4", "res": "15.0"}, {"op": "divide1-2", "arg1": "#0", "arg2": "134.4", "res": "11.2%"}], "program": "subtract(149.4, 134.4), divide(#0, 134.4)", "gold_inds": {"table_5": "( $ in millions ) the interest expense of 2007 is $ 149.4 ; the interest expense of 2006 is $ 134.4 ; the interest expense of 2005 is $ 116.4 ;"}, "exe_ans": 0.11161, "tfidftopn": {"text_3": "letters of credit outstanding at december 31 , 2007 and 2006 , were $ 41 million and $ 52.4 million , respectively .", "table_3": "( $ in millions ) The total interest costs of 2007 is 155.8 ; The total interest costs of 2006 is 142.5 ; The total interest costs of 2005 is 121.7 ;"}, "program_re": "divide(subtract(149.4, 134.4), 134.4)", "model_input": [["table_1", "( $ in millions ) the interest costs before refinancing costs of 2007 is $ 155.8 ; the interest costs before refinancing costs of 2006 is $ 142.5 ; the interest costs before refinancing costs of 2005 is $ 102.4 ;"], ["table_5", "( $ in millions ) the interest expense of 2007 is $ 149.4 ; the interest expense of 2006 is $ 134.4 ; the interest expense of 2005 is $ 116.4 ;"], ["table_6", "( $ in millions ) the interest paid during the year ( a ) of 2007 is $ 153.9 ; the interest paid during the year ( a ) of 2006 is $ 125.4 ; the interest paid during the year ( a ) of 2005 is $ 138.5 ;"]]}, "answers": ["11.2%"]}, "rejected_source": {"id": "BLL/2007/page_75.pdf-2", "qa": {"question": "what is the percentage change in interest expense from 2005 to 2006?", "answer": "15.5%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "134.4", "arg2": "116.4", "res": "18.0"}, {"op": "divide2-2", "arg1": "#0", "arg2": "116.4", "res": "15.5%"}], "program": "subtract(134.4, 116.4), divide(#0, 116.4)", "gold_inds": {"table_5": "( $ in millions ) the interest expense of 2007 is $ 149.4 ; the interest expense of 2006 is $ 134.4 ; the interest expense of 2005 is $ 116.4 ;"}, "exe_ans": 0.15464, "tfidftopn": {"text_15": "during the third and fourth quarters of 2005 , ball redeemed its 7.75% ( 7.75 % ) senior notes due in august 2006 .", "table_3": "( $ in millions ) The total interest costs of 2007 is 155.8 ; The total interest costs of 2006 is 142.5 ; The total interest costs of 2005 is 121.7 ;"}, "program_re": "divide(subtract(134.4, 116.4), 116.4)", "model_input": [["text_17", "a summary of total interest cost paid and accrued follows: ."], ["table_5", "( $ in millions ) the interest expense of 2007 is $ 149.4 ; the interest expense of 2006 is $ 134.4 ; the interest expense of 2005 is $ 116.4 ;"], ["table_6", "( $ in millions ) the interest paid during the year ( a ) of 2007 is $ 153.9 ; the interest paid during the year ( a ) of 2006 is $ 125.4 ; the interest paid during the year ( a ) of 2005 is $ 138.5 ;"]]}, "answers": ["15.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000384", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in interest expense from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "15.5%.", "rejected": "11.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what is the percentage change in interest expense <TIME>?", "doc_prefix": "BLL", "base_question": "what is the percentage change in interest expense <TIME>?", "original_question": "what is the percentage change in interest expense from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "11.2%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "BLL/2007/page_75.pdf-2", "qa": {"question": "what is the percentage change in interest expense from 2005 to 2006?", "answer": "15.5%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "134.4", "arg2": "116.4", "res": "18.0"}, {"op": "divide2-2", "arg1": "#0", "arg2": "116.4", "res": "15.5%"}], "program": "subtract(134.4, 116.4), divide(#0, 116.4)", "gold_inds": {"table_5": "( $ in millions ) the interest expense of 2007 is $ 149.4 ; the interest expense of 2006 is $ 134.4 ; the interest expense of 2005 is $ 116.4 ;"}, "exe_ans": 0.15464, "tfidftopn": {"text_15": "during the third and fourth quarters of 2005 , ball redeemed its 7.75% ( 7.75 % ) senior notes due in august 2006 .", "table_3": "( $ in millions ) The total interest costs of 2007 is 155.8 ; The total interest costs of 2006 is 142.5 ; The total interest costs of 2005 is 121.7 ;"}, "program_re": "divide(subtract(134.4, 116.4), 116.4)", "model_input": [["text_17", "a summary of total interest cost paid and accrued follows: ."], ["table_5", "( $ in millions ) the interest expense of 2007 is $ 149.4 ; the interest expense of 2006 is $ 134.4 ; the interest expense of 2005 is $ 116.4 ;"], ["table_6", "( $ in millions ) the interest paid during the year ( a ) of 2007 is $ 153.9 ; the interest paid during the year ( a ) of 2006 is $ 125.4 ; the interest paid during the year ( a ) of 2005 is $ 138.5 ;"]]}, "answers": ["15.5%"]}, "rejected_source": {"id": "BLL/2007/page_75.pdf-4", "qa": {"question": "what is the percentage change in interest expense from 2006 to 2007?", "answer": "11.2%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "149.4", "arg2": "134.4", "res": "15.0"}, {"op": "divide1-2", "arg1": "#0", "arg2": "134.4", "res": "11.2%"}], "program": "subtract(149.4, 134.4), divide(#0, 134.4)", "gold_inds": {"table_5": "( $ in millions ) the interest expense of 2007 is $ 149.4 ; the interest expense of 2006 is $ 134.4 ; the interest expense of 2005 is $ 116.4 ;"}, "exe_ans": 0.11161, "tfidftopn": {"text_3": "letters of credit outstanding at december 31 , 2007 and 2006 , were $ 41 million and $ 52.4 million , respectively .", "table_3": "( $ in millions ) The total interest costs of 2007 is 155.8 ; The total interest costs of 2006 is 142.5 ; The total interest costs of 2005 is 121.7 ;"}, "program_re": "divide(subtract(149.4, 134.4), 134.4)", "model_input": [["table_1", "( $ in millions ) the interest costs before refinancing costs of 2007 is $ 155.8 ; the interest costs before refinancing costs of 2006 is $ 142.5 ; the interest costs before refinancing costs of 2005 is $ 102.4 ;"], ["table_5", "( $ in millions ) the interest expense of 2007 is $ 149.4 ; the interest expense of 2006 is $ 134.4 ; the interest expense of 2005 is $ 116.4 ;"], ["table_6", "( $ in millions ) the interest paid during the year ( a ) of 2007 is $ 153.9 ; the interest paid during the year ( a ) of 2006 is $ 125.4 ; the interest paid during the year ( a ) of 2005 is $ 138.5 ;"]]}, "answers": ["11.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000385", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2009 what was the ratio of the direct amount to the amount ceded to other companies\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "2.6.", "rejected": "2.62.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CB || <TIME> what was the ratio of the direct amount to the amount ceded to other companies", "doc_prefix": "CB", "base_question": "<TIME> what was the ratio of the direct amount to the amount ceded to other companies", "original_question": "in 2009 what was the ratio of the direct amount to the amount ceded to other companies", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.62": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.6": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "CB/2009/page_233.pdf-2", "qa": {"question": "in 2009 what was the ratio of the direct amount to the amount ceded to other companies", "answer": "2.6", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "15415", "arg2": "5943", "res": "2.6"}], "program": "divide(15415, 5943)", "gold_inds": {"table_1": "for the years ended december 31 2009 2008 and 2007 ( in millions of u.s . dollars except for percentages ) the 2009 of direct amount is $ 15415 ; the 2009 of ceded to other companies is $ 5943 ; the 2009 of assumed from other companies is $ 3768 ; the 2009 of net amount is $ 13240 ; the 2009 of percentage of amount assumed to net is 28% ( 28 % ) ;"}, "exe_ans": 2.59381, "tfidftopn": {"text_1": "dollars , except for percentages ) direct amount ceded to companies assumed from other companies net amount percentage of amount assumed to .", "table_3": "for the years ended december 31 2009 2008 and 2007 ( in millions of u.s . dollars except for percentages ) The 2007 of direct amount is $ 14673 ; The 2007 of ceded to other companies is $ 5834 ; The 2007 of assumed from other companies is $ 3458 ; The 2007 of net amount is $ 12297 ; The 2007 of percentage of amount assumed to net is 28% ( 28 % ) ;"}, "program_re": "divide(15415, 5943)", "model_input": [["text_1", "dollars , except for percentages ) direct amount ceded to companies assumed from other companies net amount percentage of amount assumed to ."], ["table_1", "for the years ended december 31 2009 2008 and 2007 ( in millions of u.s . dollars except for percentages ) the 2009 of direct amount is $ 15415 ; the 2009 of ceded to other companies is $ 5943 ; the 2009 of assumed from other companies is $ 3768 ; the 2009 of net amount is $ 13240 ; the 2009 of percentage of amount assumed to net is 28% ( 28 % ) ;"], ["table_2", "for the years ended december 31 2009 2008 and 2007 ( in millions of u.s . dollars except for percentages ) the 2008 of direct amount is $ 16087 ; the 2008 of ceded to other companies is $ 6144 ; the 2008 of assumed from other companies is $ 3260 ; the 2008 of net amount is $ 13203 ; the 2008 of percentage of amount assumed to net is 25% ( 25 % ) ;"]]}, "answers": ["2.6"]}, "rejected_source": {"id": "CB/2008/page_243.pdf-1", "qa": {"question": "in 2008 what was the ratio of the direct amount to the amount ceded to other companies", "answer": "2.62", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "16087", "arg2": "6144", "res": "2.62"}], "program": "divide(16087, 6144)", "gold_inds": {"table_1": "for the years ended december 31 2008 2007 and 2006 ( in millions of u.s . dollars ) the 2008 of direct amount is $ 16087 ; the 2008 of ceded to other companies is $ 6144 ; the 2008 of assumed from other companies is $ 3260 ; the 2008 of net amount is $ 13203 ; the 2008 of percentage of amount assumed to net is 25% ( 25 % ) ;"}, "exe_ans": 2.61833, "tfidftopn": {"text_1": "dollars ) direct amount ceded to companies assumed from other companies net amount percentage of amount assumed to .", "table_2": "for the years ended december 31 2008 2007 and 2006 ( in millions of u.s . dollars ) The 2007 of direct amount is $ 14673 ; The 2007 of ceded to other companies is $ 5834 ; The 2007 of assumed from other companies is $ 3458 ; The 2007 of net amount is $ 12297 ; The 2007 of percentage of amount assumed to net is 28% ( 28 % ) ;"}, "program_re": "divide(16087, 6144)", "model_input": [["text_1", "dollars ) direct amount ceded to companies assumed from other companies net amount percentage of amount assumed to ."], ["table_1", "for the years ended december 31 2008 2007 and 2006 ( in millions of u.s . dollars ) the 2008 of direct amount is $ 16087 ; the 2008 of ceded to other companies is $ 6144 ; the 2008 of assumed from other companies is $ 3260 ; the 2008 of net amount is $ 13203 ; the 2008 of percentage of amount assumed to net is 25% ( 25 % ) ;"], ["table_3", "for the years ended december 31 2008 2007 and 2006 ( in millions of u.s . dollars ) the 2006 of direct amount is $ 13562 ; the 2006 of ceded to other companies is $ 5198 ; the 2006 of assumed from other companies is $ 3461 ; the 2006 of net amount is $ 11825 ; the 2006 of percentage of amount assumed to net is 29% ( 29 % ) ;"]]}, "answers": ["2.62"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000386", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2008 what was the ratio of the direct amount to the amount ceded to other companies\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.62.", "rejected": "2.6.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CB || <TIME> what was the ratio of the direct amount to the amount ceded to other companies", "doc_prefix": "CB", "base_question": "<TIME> what was the ratio of the direct amount to the amount ceded to other companies", "original_question": "in 2008 what was the ratio of the direct amount to the amount ceded to other companies", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.62": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "2.6": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "CB/2008/page_243.pdf-1", "qa": {"question": "in 2008 what was the ratio of the direct amount to the amount ceded to other companies", "answer": "2.62", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "16087", "arg2": "6144", "res": "2.62"}], "program": "divide(16087, 6144)", "gold_inds": {"table_1": "for the years ended december 31 2008 2007 and 2006 ( in millions of u.s . dollars ) the 2008 of direct amount is $ 16087 ; the 2008 of ceded to other companies is $ 6144 ; the 2008 of assumed from other companies is $ 3260 ; the 2008 of net amount is $ 13203 ; the 2008 of percentage of amount assumed to net is 25% ( 25 % ) ;"}, "exe_ans": 2.61833, "tfidftopn": {"text_1": "dollars ) direct amount ceded to companies assumed from other companies net amount percentage of amount assumed to .", "table_2": "for the years ended december 31 2008 2007 and 2006 ( in millions of u.s . dollars ) The 2007 of direct amount is $ 14673 ; The 2007 of ceded to other companies is $ 5834 ; The 2007 of assumed from other companies is $ 3458 ; The 2007 of net amount is $ 12297 ; The 2007 of percentage of amount assumed to net is 28% ( 28 % ) ;"}, "program_re": "divide(16087, 6144)", "model_input": [["text_1", "dollars ) direct amount ceded to companies assumed from other companies net amount percentage of amount assumed to ."], ["table_1", "for the years ended december 31 2008 2007 and 2006 ( in millions of u.s . dollars ) the 2008 of direct amount is $ 16087 ; the 2008 of ceded to other companies is $ 6144 ; the 2008 of assumed from other companies is $ 3260 ; the 2008 of net amount is $ 13203 ; the 2008 of percentage of amount assumed to net is 25% ( 25 % ) ;"], ["table_3", "for the years ended december 31 2008 2007 and 2006 ( in millions of u.s . dollars ) the 2006 of direct amount is $ 13562 ; the 2006 of ceded to other companies is $ 5198 ; the 2006 of assumed from other companies is $ 3461 ; the 2006 of net amount is $ 11825 ; the 2006 of percentage of amount assumed to net is 29% ( 29 % ) ;"]]}, "answers": ["2.62"]}, "rejected_source": {"id": "CB/2009/page_233.pdf-2", "qa": {"question": "in 2009 what was the ratio of the direct amount to the amount ceded to other companies", "answer": "2.6", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "15415", "arg2": "5943", "res": "2.6"}], "program": "divide(15415, 5943)", "gold_inds": {"table_1": "for the years ended december 31 2009 2008 and 2007 ( in millions of u.s . dollars except for percentages ) the 2009 of direct amount is $ 15415 ; the 2009 of ceded to other companies is $ 5943 ; the 2009 of assumed from other companies is $ 3768 ; the 2009 of net amount is $ 13240 ; the 2009 of percentage of amount assumed to net is 28% ( 28 % ) ;"}, "exe_ans": 2.59381, "tfidftopn": {"text_1": "dollars , except for percentages ) direct amount ceded to companies assumed from other companies net amount percentage of amount assumed to .", "table_3": "for the years ended december 31 2009 2008 and 2007 ( in millions of u.s . dollars except for percentages ) The 2007 of direct amount is $ 14673 ; The 2007 of ceded to other companies is $ 5834 ; The 2007 of assumed from other companies is $ 3458 ; The 2007 of net amount is $ 12297 ; The 2007 of percentage of amount assumed to net is 28% ( 28 % ) ;"}, "program_re": "divide(15415, 5943)", "model_input": [["text_1", "dollars , except for percentages ) direct amount ceded to companies assumed from other companies net amount percentage of amount assumed to ."], ["table_1", "for the years ended december 31 2009 2008 and 2007 ( in millions of u.s . dollars except for percentages ) the 2009 of direct amount is $ 15415 ; the 2009 of ceded to other companies is $ 5943 ; the 2009 of assumed from other companies is $ 3768 ; the 2009 of net amount is $ 13240 ; the 2009 of percentage of amount assumed to net is 28% ( 28 % ) ;"], ["table_2", "for the years ended december 31 2009 2008 and 2007 ( in millions of u.s . dollars except for percentages ) the 2008 of direct amount is $ 16087 ; the 2008 of ceded to other companies is $ 6144 ; the 2008 of assumed from other companies is $ 3260 ; the 2008 of net amount is $ 13203 ; the 2008 of percentage of amount assumed to net is 25% ( 25 % ) ;"]]}, "answers": ["2.6"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000387", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total contribution expense under the plan between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "0%.", "rejected": "10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETFC || what was the percentage change in total contribution expense under the plan <TIME>?", "doc_prefix": "ETFC", "base_question": "what was the percentage change in total contribution expense under the plan <TIME>?", "original_question": "what was the percentage change in total contribution expense under the plan between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"10%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "ETFC/2007/page_135.pdf-4", "qa": {"question": "what was the percentage change in total contribution expense under the plan between 2006 and 2007?", "answer": "0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "minus2-1", "arg1": "5.7", "arg2": "5.7", "res": "0"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5.7", "res": "0%"}], "program": "subtract(5.7, 5.7), divide(#0, 5.7)", "gold_inds": {"text_21": "total contribution expense under this plan was $ 5.7 million , $ 5.7 million and $ 5.2 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively. ."}, "exe_ans": 0.0, "tfidftopn": {"text_11": "the total fair value of restricted shares and restricted stock units vested was $ 11.0 million , $ 7.5 million and $ 4.1 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively .", "text_9": "as of december 31 , 2007 , there was $ 15.3 million of total unrecognized compensation cost related to non-vested awards ."}, "program_re": "divide(subtract(5.7, 5.7), 5.7)", "model_input": [["text_10", "this cost is expected to be recognized over a weighted-average period of 1.6 years ."], ["text_11", "the total fair value of restricted shares and restricted stock units vested was $ 11.0 million , $ 7.5 million and $ 4.1 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively ."], ["text_21", "total contribution expense under this plan was $ 5.7 million , $ 5.7 million and $ 5.2 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively. ."]]}, "answers": ["0%"]}, "rejected_source": {"id": "ETFC/2007/page_135.pdf-1", "qa": {"question": "what was the percentage change in total contribution expense under the plan between 2005 and 2006?", "answer": "10%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "minus1-1", "arg1": "5.7", "arg2": "5.2", "res": ".5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5.2", "res": "10%"}], "program": "subtract(5.7, 5.2), divide(#0, 5.2)", "gold_inds": {"text_21": "total contribution expense under this plan was $ 5.7 million , $ 5.7 million and $ 5.2 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively. ."}, "exe_ans": 0.09615, "tfidftopn": {"text_17": "for the year ended december 31 , 2005 , the company recorded $ 0.4 million in compensation expense for its employee stock purchase plan for the period in which the 2002 plan was considered compensatory until the terms were changed august 1 , 2005 .", "text_6": "in 2005 , the company recorded a pre-tax credit of $ 2.8 million in cumulative effect of accounting change , that represents the amount by which compensation expense would have been reduced in periods prior to adoption of sfas no ."}, "program_re": "divide(subtract(5.7, 5.2), 5.2)", "model_input": [["text_10", "this cost is expected to be recognized over a weighted-average period of 1.6 years ."], ["text_11", "the total fair value of restricted shares and restricted stock units vested was $ 11.0 million , $ 7.5 million and $ 4.1 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively ."], ["text_21", "total contribution expense under this plan was $ 5.7 million , $ 5.7 million and $ 5.2 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively. ."]]}, "answers": ["10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000388", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total contribution expense under the plan between 2005 and 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "10%.", "rejected": "0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETFC || what was the percentage change in total contribution expense under the plan <TIME>?", "doc_prefix": "ETFC", "base_question": "what was the percentage change in total contribution expense under the plan <TIME>?", "original_question": "what was the percentage change in total contribution expense under the plan between 2005 and 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"10%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "ETFC/2007/page_135.pdf-1", "qa": {"question": "what was the percentage change in total contribution expense under the plan between 2005 and 2006?", "answer": "10%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "minus1-1", "arg1": "5.7", "arg2": "5.2", "res": ".5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5.2", "res": "10%"}], "program": "subtract(5.7, 5.2), divide(#0, 5.2)", "gold_inds": {"text_21": "total contribution expense under this plan was $ 5.7 million , $ 5.7 million and $ 5.2 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively. ."}, "exe_ans": 0.09615, "tfidftopn": {"text_17": "for the year ended december 31 , 2005 , the company recorded $ 0.4 million in compensation expense for its employee stock purchase plan for the period in which the 2002 plan was considered compensatory until the terms were changed august 1 , 2005 .", "text_6": "in 2005 , the company recorded a pre-tax credit of $ 2.8 million in cumulative effect of accounting change , that represents the amount by which compensation expense would have been reduced in periods prior to adoption of sfas no ."}, "program_re": "divide(subtract(5.7, 5.2), 5.2)", "model_input": [["text_10", "this cost is expected to be recognized over a weighted-average period of 1.6 years ."], ["text_11", "the total fair value of restricted shares and restricted stock units vested was $ 11.0 million , $ 7.5 million and $ 4.1 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively ."], ["text_21", "total contribution expense under this plan was $ 5.7 million , $ 5.7 million and $ 5.2 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively. ."]]}, "answers": ["10%"]}, "rejected_source": {"id": "ETFC/2007/page_135.pdf-4", "qa": {"question": "what was the percentage change in total contribution expense under the plan between 2006 and 2007?", "answer": "0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "minus2-1", "arg1": "5.7", "arg2": "5.7", "res": "0"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5.7", "res": "0%"}], "program": "subtract(5.7, 5.7), divide(#0, 5.7)", "gold_inds": {"text_21": "total contribution expense under this plan was $ 5.7 million , $ 5.7 million and $ 5.2 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively. ."}, "exe_ans": 0.0, "tfidftopn": {"text_11": "the total fair value of restricted shares and restricted stock units vested was $ 11.0 million , $ 7.5 million and $ 4.1 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively .", "text_9": "as of december 31 , 2007 , there was $ 15.3 million of total unrecognized compensation cost related to non-vested awards ."}, "program_re": "divide(subtract(5.7, 5.7), 5.7)", "model_input": [["text_10", "this cost is expected to be recognized over a weighted-average period of 1.6 years ."], ["text_11", "the total fair value of restricted shares and restricted stock units vested was $ 11.0 million , $ 7.5 million and $ 4.1 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively ."], ["text_21", "total contribution expense under this plan was $ 5.7 million , $ 5.7 million and $ 5.2 million for the years ended december 31 , 2007 , 2006 and 2005 , respectively. ."]]}, "answers": ["0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000389", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of total operating income is generated by north america segment in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "112.8%.", "rejected": "97.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what portion of total operating income is generated by north america segment <TIME>?", "doc_prefix": "UAA", "base_question": "what portion of total operating income is generated by north america segment <TIME>?", "original_question": "what portion of total operating income is generated by north america segment in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"112.8%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "97.8%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "UAA/2017/page_52.pdf-4", "qa": {"question": "what portion of total operating income is generated by north america segment in 2015?", "answer": "112.8%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "460961", "arg2": "408547", "res": "112.8%"}], "program": "divide(460961, 408547)", "gold_inds": {"table_1": "( in thousands ) the north america of year ended december 31 , 2016 is $ 408424 ; the north america of year ended december 31 , 2015 is $ 460961 ; the north america of year ended december 31 , $ change is $ -52537 ( 52537 ) ; the north america of year ended december 31 , % ( % ) change is ( 11.4 ) % ( % ) ;", "table_6": "( in thousands ) the total operating income of year ended december 31 , 2016 is $ 417471 ; the total operating income of year ended december 31 , 2015 is $ 408547 ; the total operating income of year ended december 31 , $ change is $ 8924 ; the total operating income of year ended december 31 , % ( % ) change is 2.2% ( 2.2 % ) ;"}, "exe_ans": 1.12829, "tfidftopn": {"text_0": "operating income ( loss ) by segment is summarized below: ."}, "program_re": "divide(460961, 408547)", "model_input": [["table_1", "( in thousands ) the north america of year ended december 31 , 2016 is $ 408424 ; the north america of year ended december 31 , 2015 is $ 460961 ; the north america of year ended december 31 , $ change is $ -52537 ( 52537 ) ; the north america of year ended december 31 , % ( % ) change is ( 11.4 ) % ( % ) ;"], ["table_4", "( in thousands ) the latin america of year ended december 31 , 2016 is -33891 ( 33891 ) ; the latin america of year ended december 31 , 2015 is -30593 ( 30593 ) ; the latin america of year ended december 31 , $ change is -3298 ( 3298 ) ; the latin america of year ended december 31 , % ( % ) change is 10.8 ;"], ["table_6", "( in thousands ) the total operating income of year ended december 31 , 2016 is $ 417471 ; the total operating income of year ended december 31 , 2015 is $ 408547 ; the total operating income of year ended december 31 , $ change is $ 8924 ; the total operating income of year ended december 31 , % ( % ) change is 2.2% ( 2.2 % ) ;"]]}, "answers": ["112.8%"]}, "rejected_source": {"id": "UAA/2017/page_52.pdf-2", "qa": {"question": "what portion of total operating income is generated by north america segment in 2016?", "answer": "97.8%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "408424", "arg2": "417471", "res": "97.8%"}], "program": "divide(408424, 417471)", "gold_inds": {"table_1": "( in thousands ) the north america of year ended december 31 , 2016 is $ 408424 ; the north america of year ended december 31 , 2015 is $ 460961 ; the north america of year ended december 31 , $ change is $ -52537 ( 52537 ) ; the north america of year ended december 31 , % ( % ) change is ( 11.4 ) % ( % ) ;", "table_6": "( in thousands ) the total operating income of year ended december 31 , 2016 is $ 417471 ; the total operating income of year ended december 31 , 2015 is $ 408547 ; the total operating income of year ended december 31 , $ change is $ 8924 ; the total operating income of year ended december 31 , % ( % ) change is 2.2% ( 2.2 % ) ;"}, "exe_ans": 0.97833, "tfidftopn": {"text_0": "operating income ( loss ) by segment is summarized below: ."}, "program_re": "divide(408424, 417471)", "model_input": [["table_1", "( in thousands ) the north america of year ended december 31 , 2016 is $ 408424 ; the north america of year ended december 31 , 2015 is $ 460961 ; the north america of year ended december 31 , $ change is $ -52537 ( 52537 ) ; the north america of year ended december 31 , % ( % ) change is ( 11.4 ) % ( % ) ;"], ["table_4", "( in thousands ) the latin america of year ended december 31 , 2016 is -33891 ( 33891 ) ; the latin america of year ended december 31 , 2015 is -30593 ( 30593 ) ; the latin america of year ended december 31 , $ change is -3298 ( 3298 ) ; the latin america of year ended december 31 , % ( % ) change is 10.8 ;"], ["table_6", "( in thousands ) the total operating income of year ended december 31 , 2016 is $ 417471 ; the total operating income of year ended december 31 , 2015 is $ 408547 ; the total operating income of year ended december 31 , $ change is $ 8924 ; the total operating income of year ended december 31 , % ( % ) change is 2.2% ( 2.2 % ) ;"]]}, "answers": ["97.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000390", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of total operating income is generated by north america segment in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "97.8%.", "rejected": "112.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what portion of total operating income is generated by north america segment <TIME>?", "doc_prefix": "UAA", "base_question": "what portion of total operating income is generated by north america segment <TIME>?", "original_question": "what portion of total operating income is generated by north america segment in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"112.8%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "97.8%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "UAA/2017/page_52.pdf-2", "qa": {"question": "what portion of total operating income is generated by north america segment in 2016?", "answer": "97.8%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "408424", "arg2": "417471", "res": "97.8%"}], "program": "divide(408424, 417471)", "gold_inds": {"table_1": "( in thousands ) the north america of year ended december 31 , 2016 is $ 408424 ; the north america of year ended december 31 , 2015 is $ 460961 ; the north america of year ended december 31 , $ change is $ -52537 ( 52537 ) ; the north america of year ended december 31 , % ( % ) change is ( 11.4 ) % ( % ) ;", "table_6": "( in thousands ) the total operating income of year ended december 31 , 2016 is $ 417471 ; the total operating income of year ended december 31 , 2015 is $ 408547 ; the total operating income of year ended december 31 , $ change is $ 8924 ; the total operating income of year ended december 31 , % ( % ) change is 2.2% ( 2.2 % ) ;"}, "exe_ans": 0.97833, "tfidftopn": {"text_0": "operating income ( loss ) by segment is summarized below: ."}, "program_re": "divide(408424, 417471)", "model_input": [["table_1", "( in thousands ) the north america of year ended december 31 , 2016 is $ 408424 ; the north america of year ended december 31 , 2015 is $ 460961 ; the north america of year ended december 31 , $ change is $ -52537 ( 52537 ) ; the north america of year ended december 31 , % ( % ) change is ( 11.4 ) % ( % ) ;"], ["table_4", "( in thousands ) the latin america of year ended december 31 , 2016 is -33891 ( 33891 ) ; the latin america of year ended december 31 , 2015 is -30593 ( 30593 ) ; the latin america of year ended december 31 , $ change is -3298 ( 3298 ) ; the latin america of year ended december 31 , % ( % ) change is 10.8 ;"], ["table_6", "( in thousands ) the total operating income of year ended december 31 , 2016 is $ 417471 ; the total operating income of year ended december 31 , 2015 is $ 408547 ; the total operating income of year ended december 31 , $ change is $ 8924 ; the total operating income of year ended december 31 , % ( % ) change is 2.2% ( 2.2 % ) ;"]]}, "answers": ["97.8%"]}, "rejected_source": {"id": "UAA/2017/page_52.pdf-4", "qa": {"question": "what portion of total operating income is generated by north america segment in 2015?", "answer": "112.8%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "460961", "arg2": "408547", "res": "112.8%"}], "program": "divide(460961, 408547)", "gold_inds": {"table_1": "( in thousands ) the north america of year ended december 31 , 2016 is $ 408424 ; the north america of year ended december 31 , 2015 is $ 460961 ; the north america of year ended december 31 , $ change is $ -52537 ( 52537 ) ; the north america of year ended december 31 , % ( % ) change is ( 11.4 ) % ( % ) ;", "table_6": "( in thousands ) the total operating income of year ended december 31 , 2016 is $ 417471 ; the total operating income of year ended december 31 , 2015 is $ 408547 ; the total operating income of year ended december 31 , $ change is $ 8924 ; the total operating income of year ended december 31 , % ( % ) change is 2.2% ( 2.2 % ) ;"}, "exe_ans": 1.12829, "tfidftopn": {"text_0": "operating income ( loss ) by segment is summarized below: ."}, "program_re": "divide(460961, 408547)", "model_input": [["table_1", "( in thousands ) the north america of year ended december 31 , 2016 is $ 408424 ; the north america of year ended december 31 , 2015 is $ 460961 ; the north america of year ended december 31 , $ change is $ -52537 ( 52537 ) ; the north america of year ended december 31 , % ( % ) change is ( 11.4 ) % ( % ) ;"], ["table_4", "( in thousands ) the latin america of year ended december 31 , 2016 is -33891 ( 33891 ) ; the latin america of year ended december 31 , 2015 is -30593 ( 30593 ) ; the latin america of year ended december 31 , $ change is -3298 ( 3298 ) ; the latin america of year ended december 31 , % ( % ) change is 10.8 ;"], ["table_6", "( in thousands ) the total operating income of year ended december 31 , 2016 is $ 417471 ; the total operating income of year ended december 31 , 2015 is $ 408547 ; the total operating income of year ended december 31 , $ change is $ 8924 ; the total operating income of year ended december 31 , % ( % ) change is 2.2% ( 2.2 % ) ;"]]}, "answers": ["112.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000391", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in weighted average common shares outstanding for basic computations from 2017 to 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-1.1%.", "rejected": "-3.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "doc_prefix": "LMT", "base_question": "what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "original_question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2017 to 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-3.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-1.1%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "LMT/2018/page_85.pdf-4", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2017 to 2018?", "answer": "-1.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "284.5", "arg2": "287.8", "res": "-3.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "287.8", "res": "-1.1%"}], "program": "subtract(284.5, 287.8), divide(#0, 287.8)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"}, "exe_ans": -0.01147, "tfidftopn": {"table_3": "The weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; The weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; The weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;", "text_1": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(284.5, 287.8), 287.8)", "model_input": [["text_0", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"], ["table_3", "the weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; the weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; the weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;"]]}, "answers": ["-1.1%"]}, "rejected_source": {"id": "LMT/2016/page_83.pdf-4", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?", "answer": "-3.5%", "explanation": "what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "299.3", "arg2": "310.3", "res": "-11"}, {"op": "divide1-2", "arg1": "#0", "arg2": "310.3", "res": "-3.5%"}], "program": "subtract(299.3, 310.3), divide(#0, 310.3)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2016 is 299.3 ; the weighted average common shares outstanding for basic computations of 2015 is 310.3 ; the weighted average common shares outstanding for basic computations of 2014 is 316.8 ;"}, "exe_ans": -0.03545, "tfidftopn": {"table_3": "The weighted average common shares outstanding for dilutedcomputations of 2016 is 303.1 ; The weighted average common shares outstanding for dilutedcomputations of 2015 is 314.7 ; The weighted average common shares outstanding for dilutedcomputations of 2014 is 322.4 ;", "text_11": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(299.3, 310.3), 310.3)", "model_input": [["text_10", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2016 is 299.3 ; the weighted average common shares outstanding for basic computations of 2015 is 310.3 ; the weighted average common shares outstanding for basic computations of 2014 is 316.8 ;"], ["table_3", "the weighted average common shares outstanding for dilutedcomputations of 2016 is 303.1 ; the weighted average common shares outstanding for dilutedcomputations of 2015 is 314.7 ; the weighted average common shares outstanding for dilutedcomputations of 2014 is 322.4 ;"]]}, "answers": ["-3.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000392", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in weighted average common shares outstanding for basic computations from 2017 to 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-1.1%.", "rejected": "-3.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "doc_prefix": "LMT", "base_question": "what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "original_question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2017 to 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-3.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-1.1%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "LMT/2018/page_85.pdf-4", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2017 to 2018?", "answer": "-1.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "284.5", "arg2": "287.8", "res": "-3.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "287.8", "res": "-1.1%"}], "program": "subtract(284.5, 287.8), divide(#0, 287.8)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"}, "exe_ans": -0.01147, "tfidftopn": {"table_3": "The weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; The weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; The weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;", "text_1": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(284.5, 287.8), 287.8)", "model_input": [["text_0", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"], ["table_3", "the weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; the weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; the weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;"]]}, "answers": ["-1.1%"]}, "rejected_source": {"id": "LMT/2018/page_85.pdf-3", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2016 to 2017?", "answer": "-3.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "287.8", "arg2": "299.3", "res": "-11.5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "299.3", "res": "-3.8%"}], "program": "subtract(287.8, 299.3), divide(#0, 299.3)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"}, "exe_ans": -0.03842, "tfidftopn": {"table_3": "The weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; The weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; The weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;", "text_1": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(287.8, 299.3), 299.3)", "model_input": [["text_0", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"], ["table_3", "the weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; the weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; the weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;"]]}, "answers": ["-3.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000393", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-3.5%.", "rejected": "-1.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "doc_prefix": "LMT", "base_question": "what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "original_question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-3.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-1.1%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "LMT/2016/page_83.pdf-4", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?", "answer": "-3.5%", "explanation": "what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "299.3", "arg2": "310.3", "res": "-11"}, {"op": "divide1-2", "arg1": "#0", "arg2": "310.3", "res": "-3.5%"}], "program": "subtract(299.3, 310.3), divide(#0, 310.3)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2016 is 299.3 ; the weighted average common shares outstanding for basic computations of 2015 is 310.3 ; the weighted average common shares outstanding for basic computations of 2014 is 316.8 ;"}, "exe_ans": -0.03545, "tfidftopn": {"table_3": "The weighted average common shares outstanding for dilutedcomputations of 2016 is 303.1 ; The weighted average common shares outstanding for dilutedcomputations of 2015 is 314.7 ; The weighted average common shares outstanding for dilutedcomputations of 2014 is 322.4 ;", "text_11": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(299.3, 310.3), 310.3)", "model_input": [["text_10", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2016 is 299.3 ; the weighted average common shares outstanding for basic computations of 2015 is 310.3 ; the weighted average common shares outstanding for basic computations of 2014 is 316.8 ;"], ["table_3", "the weighted average common shares outstanding for dilutedcomputations of 2016 is 303.1 ; the weighted average common shares outstanding for dilutedcomputations of 2015 is 314.7 ; the weighted average common shares outstanding for dilutedcomputations of 2014 is 322.4 ;"]]}, "answers": ["-3.5%"]}, "rejected_source": {"id": "LMT/2018/page_85.pdf-4", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2017 to 2018?", "answer": "-1.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "284.5", "arg2": "287.8", "res": "-3.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "287.8", "res": "-1.1%"}], "program": "subtract(284.5, 287.8), divide(#0, 287.8)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"}, "exe_ans": -0.01147, "tfidftopn": {"table_3": "The weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; The weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; The weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;", "text_1": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(284.5, 287.8), 287.8)", "model_input": [["text_0", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"], ["table_3", "the weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; the weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; the weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;"]]}, "answers": ["-1.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000394", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-3.5%.", "rejected": "-3.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "doc_prefix": "LMT", "base_question": "what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "original_question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-3.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-1.1%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "LMT/2016/page_83.pdf-4", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?", "answer": "-3.5%", "explanation": "what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "299.3", "arg2": "310.3", "res": "-11"}, {"op": "divide1-2", "arg1": "#0", "arg2": "310.3", "res": "-3.5%"}], "program": "subtract(299.3, 310.3), divide(#0, 310.3)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2016 is 299.3 ; the weighted average common shares outstanding for basic computations of 2015 is 310.3 ; the weighted average common shares outstanding for basic computations of 2014 is 316.8 ;"}, "exe_ans": -0.03545, "tfidftopn": {"table_3": "The weighted average common shares outstanding for dilutedcomputations of 2016 is 303.1 ; The weighted average common shares outstanding for dilutedcomputations of 2015 is 314.7 ; The weighted average common shares outstanding for dilutedcomputations of 2014 is 322.4 ;", "text_11": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(299.3, 310.3), 310.3)", "model_input": [["text_10", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2016 is 299.3 ; the weighted average common shares outstanding for basic computations of 2015 is 310.3 ; the weighted average common shares outstanding for basic computations of 2014 is 316.8 ;"], ["table_3", "the weighted average common shares outstanding for dilutedcomputations of 2016 is 303.1 ; the weighted average common shares outstanding for dilutedcomputations of 2015 is 314.7 ; the weighted average common shares outstanding for dilutedcomputations of 2014 is 322.4 ;"]]}, "answers": ["-3.5%"]}, "rejected_source": {"id": "LMT/2018/page_85.pdf-3", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2016 to 2017?", "answer": "-3.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "287.8", "arg2": "299.3", "res": "-11.5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "299.3", "res": "-3.8%"}], "program": "subtract(287.8, 299.3), divide(#0, 299.3)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"}, "exe_ans": -0.03842, "tfidftopn": {"table_3": "The weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; The weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; The weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;", "text_1": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(287.8, 299.3), 299.3)", "model_input": [["text_0", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"], ["table_3", "the weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; the weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; the weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;"]]}, "answers": ["-3.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000395", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in weighted average common shares outstanding for basic computations from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-3.8%.", "rejected": "-1.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "doc_prefix": "LMT", "base_question": "what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "original_question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-3.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-1.1%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "LMT/2018/page_85.pdf-3", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2016 to 2017?", "answer": "-3.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "287.8", "arg2": "299.3", "res": "-11.5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "299.3", "res": "-3.8%"}], "program": "subtract(287.8, 299.3), divide(#0, 299.3)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"}, "exe_ans": -0.03842, "tfidftopn": {"table_3": "The weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; The weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; The weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;", "text_1": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(287.8, 299.3), 299.3)", "model_input": [["text_0", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"], ["table_3", "the weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; the weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; the weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;"]]}, "answers": ["-3.8%"]}, "rejected_source": {"id": "LMT/2018/page_85.pdf-4", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2017 to 2018?", "answer": "-1.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "284.5", "arg2": "287.8", "res": "-3.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "287.8", "res": "-1.1%"}], "program": "subtract(284.5, 287.8), divide(#0, 287.8)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"}, "exe_ans": -0.01147, "tfidftopn": {"table_3": "The weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; The weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; The weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;", "text_1": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(284.5, 287.8), 287.8)", "model_input": [["text_0", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"], ["table_3", "the weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; the weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; the weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;"]]}, "answers": ["-1.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000396", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in weighted average common shares outstanding for basic computations from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-3.8%.", "rejected": "-3.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "doc_prefix": "LMT", "base_question": "what is the percentage change in weighted average common shares outstanding for basic computations <TIME>?", "original_question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-3.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-1.1%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "LMT/2018/page_85.pdf-3", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2016 to 2017?", "answer": "-3.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "287.8", "arg2": "299.3", "res": "-11.5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "299.3", "res": "-3.8%"}], "program": "subtract(287.8, 299.3), divide(#0, 299.3)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"}, "exe_ans": -0.03842, "tfidftopn": {"table_3": "The weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; The weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; The weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;", "text_1": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(287.8, 299.3), 299.3)", "model_input": [["text_0", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2018 is 284.5 ; the weighted average common shares outstanding for basic computations of 2017 is 287.8 ; the weighted average common shares outstanding for basic computations of 2016 is 299.3 ;"], ["table_3", "the weighted average common shares outstanding for diluted computations of 2018 is 286.8 ; the weighted average common shares outstanding for diluted computations of 2017 is 290.6 ; the weighted average common shares outstanding for diluted computations of 2016 is 303.1 ;"]]}, "answers": ["-3.8%"]}, "rejected_source": {"id": "LMT/2016/page_83.pdf-4", "qa": {"question": "what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?", "answer": "-3.5%", "explanation": "what is the percentage change in weighted average common shares outstanding for basic computations from 2015 to 2016?", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "299.3", "arg2": "310.3", "res": "-11"}, {"op": "divide1-2", "arg1": "#0", "arg2": "310.3", "res": "-3.5%"}], "program": "subtract(299.3, 310.3), divide(#0, 310.3)", "gold_inds": {"table_1": "the weighted average common shares outstanding for basic computations of 2016 is 299.3 ; the weighted average common shares outstanding for basic computations of 2015 is 310.3 ; the weighted average common shares outstanding for basic computations of 2014 is 316.8 ;"}, "exe_ans": -0.03545, "tfidftopn": {"table_3": "The weighted average common shares outstanding for dilutedcomputations of 2016 is 303.1 ; The weighted average common shares outstanding for dilutedcomputations of 2015 is 314.7 ; The weighted average common shares outstanding for dilutedcomputations of 2014 is 322.4 ;", "text_11": "we compute basic and diluted earnings per common share by dividing net earnings by the respective weighted average number of common shares outstanding for the periods presented ."}, "program_re": "divide(subtract(299.3, 310.3), 310.3)", "model_input": [["text_10", "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2016 is 299.3 ; the weighted average common shares outstanding for basic computations of 2015 is 310.3 ; the weighted average common shares outstanding for basic computations of 2014 is 316.8 ;"], ["table_3", "the weighted average common shares outstanding for dilutedcomputations of 2016 is 303.1 ; the weighted average common shares outstanding for dilutedcomputations of 2015 is 314.7 ; the weighted average common shares outstanding for dilutedcomputations of 2014 is 322.4 ;"]]}, "answers": ["-3.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000397", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total consolidated revenues was gfs segment in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "45%.", "rejected": "46%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what percentage of total consolidated revenues was gfs segment <TIME>?", "doc_prefix": "FIS", "base_question": "what percentage of total consolidated revenues was gfs segment <TIME>?", "original_question": "what percentage of total consolidated revenues was gfs segment in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"46%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "45%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "FIS/2017/page_14.pdf-2", "qa": {"question": "what percentage of total consolidated revenues was gfs segment in 2017?", "answer": "45%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4138", "arg2": "9123", "res": "45%"}], "program": "divide(4138, 9123)", "gold_inds": {"table_2": "the gfs of 2017 is 4138 ; the gfs of 2016 is 4250 ; the gfs of 2015 is 2361 ;", "table_4": "the total consolidated revenues of 2017 is $ 9123 ; the total consolidated revenues of 2016 is $ 9241 ; the total consolidated revenues of 2015 is $ 6596 ;"}, "exe_ans": 0.45358, "tfidftopn": {"text_4": "revenues by segment the table below summarizes our revenues by reporting segment ( in millions ) : ."}, "program_re": "divide(4138, 9123)", "model_input": [["table_1", "the ifs of 2017 is $ 4630 ; the ifs of 2016 is $ 4525 ; the ifs of 2015 is $ 3809 ;"], ["table_2", "the gfs of 2017 is 4138 ; the gfs of 2016 is 4250 ; the gfs of 2015 is 2361 ;"], ["table_4", "the total consolidated revenues of 2017 is $ 9123 ; the total consolidated revenues of 2016 is $ 9241 ; the total consolidated revenues of 2015 is $ 6596 ;"]]}, "answers": ["45%"]}, "rejected_source": {"id": "FIS/2017/page_14.pdf-4", "qa": {"question": "what percentage of total consolidated revenues was gfs segment in 2016?", "answer": "46%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "4250", "arg2": "9241", "res": "46%"}], "program": "divide(4250, 9241)", "gold_inds": {"table_2": "the gfs of 2017 is 4138 ; the gfs of 2016 is 4250 ; the gfs of 2015 is 2361 ;", "table_4": "the total consolidated revenues of 2017 is $ 9123 ; the total consolidated revenues of 2016 is $ 9241 ; the total consolidated revenues of 2015 is $ 6596 ;"}, "exe_ans": 0.45991, "tfidftopn": {"text_4": "revenues by segment the table below summarizes our revenues by reporting segment ( in millions ) : ."}, "program_re": "divide(4250, 9241)", "model_input": [["table_1", "the ifs of 2017 is $ 4630 ; the ifs of 2016 is $ 4525 ; the ifs of 2015 is $ 3809 ;"], ["table_2", "the gfs of 2017 is 4138 ; the gfs of 2016 is 4250 ; the gfs of 2015 is 2361 ;"], ["table_4", "the total consolidated revenues of 2017 is $ 9123 ; the total consolidated revenues of 2016 is $ 9241 ; the total consolidated revenues of 2015 is $ 6596 ;"]]}, "answers": ["46%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000398", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total consolidated revenues was gfs segment in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "46%.", "rejected": "45%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what percentage of total consolidated revenues was gfs segment <TIME>?", "doc_prefix": "FIS", "base_question": "what percentage of total consolidated revenues was gfs segment <TIME>?", "original_question": "what percentage of total consolidated revenues was gfs segment in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"46%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "45%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "FIS/2017/page_14.pdf-4", "qa": {"question": "what percentage of total consolidated revenues was gfs segment in 2016?", "answer": "46%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "4250", "arg2": "9241", "res": "46%"}], "program": "divide(4250, 9241)", "gold_inds": {"table_2": "the gfs of 2017 is 4138 ; the gfs of 2016 is 4250 ; the gfs of 2015 is 2361 ;", "table_4": "the total consolidated revenues of 2017 is $ 9123 ; the total consolidated revenues of 2016 is $ 9241 ; the total consolidated revenues of 2015 is $ 6596 ;"}, "exe_ans": 0.45991, "tfidftopn": {"text_4": "revenues by segment the table below summarizes our revenues by reporting segment ( in millions ) : ."}, "program_re": "divide(4250, 9241)", "model_input": [["table_1", "the ifs of 2017 is $ 4630 ; the ifs of 2016 is $ 4525 ; the ifs of 2015 is $ 3809 ;"], ["table_2", "the gfs of 2017 is 4138 ; the gfs of 2016 is 4250 ; the gfs of 2015 is 2361 ;"], ["table_4", "the total consolidated revenues of 2017 is $ 9123 ; the total consolidated revenues of 2016 is $ 9241 ; the total consolidated revenues of 2015 is $ 6596 ;"]]}, "answers": ["46%"]}, "rejected_source": {"id": "FIS/2017/page_14.pdf-2", "qa": {"question": "what percentage of total consolidated revenues was gfs segment in 2017?", "answer": "45%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4138", "arg2": "9123", "res": "45%"}], "program": "divide(4138, 9123)", "gold_inds": {"table_2": "the gfs of 2017 is 4138 ; the gfs of 2016 is 4250 ; the gfs of 2015 is 2361 ;", "table_4": "the total consolidated revenues of 2017 is $ 9123 ; the total consolidated revenues of 2016 is $ 9241 ; the total consolidated revenues of 2015 is $ 6596 ;"}, "exe_ans": 0.45358, "tfidftopn": {"text_4": "revenues by segment the table below summarizes our revenues by reporting segment ( in millions ) : ."}, "program_re": "divide(4138, 9123)", "model_input": [["table_1", "the ifs of 2017 is $ 4630 ; the ifs of 2016 is $ 4525 ; the ifs of 2015 is $ 3809 ;"], ["table_2", "the gfs of 2017 is 4138 ; the gfs of 2016 is 4250 ; the gfs of 2015 is 2361 ;"], ["table_4", "the total consolidated revenues of 2017 is $ 9123 ; the total consolidated revenues of 2016 is $ 9241 ; the total consolidated revenues of 2015 is $ 6596 ;"]]}, "answers": ["45%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000399", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2003 for entergy corporation?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "0.1%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME> for entergy corporation?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME> for entergy corporation?", "original_question": "what is the growth rate in net revenue in 2003 for entergy corporation?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"0.1%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "0.7%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "ETR/2004/page_20.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2003 for entergy corporation?", "answer": "0.1%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4214.5", "arg2": "4209.6", "res": "4.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4209.6", "res": "0.1%"}], "program": "subtract(4214.5, 4209.6), divide(#0, 4209.6)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 4209.6 ;", "table_9": "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"}, "exe_ans": 0.00116, "tfidftopn": {"text_3": "base rates increased net revenue due to base rate increases at entergy mississippi and entergy new orleans that became effective in january 2003 and june 2003 , respectively ."}, "program_re": "divide(subtract(4214.5, 4209.6), 4209.6)", "model_input": [["table_1", "the 2002 net revenue of ( in millions ) is $ 4209.6 ;"], ["table_6", "the net wholesale revenue of ( in millions ) is 23.2 ;"], ["table_9", "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"]]}, "answers": ["0.1%"]}, "rejected_source": {"id": "ETR/2004/page_19.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2004 for entergy corporation?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4244.0", "arg2": "4214.5", "res": "29.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4214.5", "res": "0.7%"}], "program": "subtract(4244.0, 4214.5), divide(#0, 4214.5)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 4214.5 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 4244.0 ;"}, "exe_ans": 0.007, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management's financial discussion and analysis net revenue 2004 compared to 2003 net revenue , which is entergy's measure of gross margin , consists of operating revenues net of : 1 ) fuel , fuel-related , and purchased power expenses and 2 ) other regulatory credits ."}, "program_re": "divide(subtract(4244.0, 4214.5), 4214.5)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 4244.0 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000400", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2004 for entergy corporation?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "0.7%.", "rejected": "0.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME> for entergy corporation?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME> for entergy corporation?", "original_question": "what is the growth rate in net revenue in 2004 for entergy corporation?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"0.1%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "0.7%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "ETR/2004/page_19.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2004 for entergy corporation?", "answer": "0.7%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4244.0", "arg2": "4214.5", "res": "29.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4214.5", "res": "0.7%"}], "program": "subtract(4244.0, 4214.5), divide(#0, 4214.5)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 4214.5 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 4244.0 ;"}, "exe_ans": 0.007, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management's financial discussion and analysis net revenue 2004 compared to 2003 net revenue , which is entergy's measure of gross margin , consists of operating revenues net of : 1 ) fuel , fuel-related , and purchased power expenses and 2 ) other regulatory credits ."}, "program_re": "divide(subtract(4244.0, 4214.5), 4214.5)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 4244.0 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ETR/2004/page_20.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2003 for entergy corporation?", "answer": "0.1%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4214.5", "arg2": "4209.6", "res": "4.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4209.6", "res": "0.1%"}], "program": "subtract(4214.5, 4209.6), divide(#0, 4209.6)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 4209.6 ;", "table_9": "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"}, "exe_ans": 0.00116, "tfidftopn": {"text_3": "base rates increased net revenue due to base rate increases at entergy mississippi and entergy new orleans that became effective in january 2003 and june 2003 , respectively ."}, "program_re": "divide(subtract(4214.5, 4209.6), 4209.6)", "model_input": [["table_1", "the 2002 net revenue of ( in millions ) is $ 4209.6 ;"], ["table_6", "the net wholesale revenue of ( in millions ) is 23.2 ;"], ["table_9", "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"]]}, "answers": ["0.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000401", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the estimated effective tax rate applied for share-based compensation expense in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "32.1%.", "rejected": "32.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what is the estimated effective tax rate applied for share-based compensation expense <TIME>?", "doc_prefix": "GPN", "base_question": "what is the estimated effective tax rate applied for share-based compensation expense <TIME>?", "original_question": "what is the estimated effective tax rate applied for share-based compensation expense in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"32.8%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "32.1%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GPN/2016/page_83.pdf-1", "qa": {"question": "what is the estimated effective tax rate applied for share-based compensation expense in 2016?", "answer": "32.1%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "9879", "arg2": "30809", "res": "32.1%"}], "program": "divide(9879, 30809)", "gold_inds": {"table_1": "the share-based compensation expense of 2016 is $ 30809 ; the share-based compensation expense of 2015 ( in thousands ) is $ 21056 ; the share-based compensation expense of 2014 is $ 29793 ;", "table_2": "the income tax benefit of 2016 is $ 9879 ; the income tax benefit of 2015 ( in thousands ) is $ 6907 ; the income tax benefit of 2014 is $ 7126 ;"}, "exe_ans": 0.32065, "tfidftopn": {"text_6": "the following table summarizes share-based compensation expense and the related income tax benefit recognized for our share-based awards and stock options ( in thousands ) : 2016 2015 2014 ( in thousands ) ."}, "program_re": "divide(9879, 30809)", "model_input": [["text_6", "the following table summarizes share-based compensation expense and the related income tax benefit recognized for our share-based awards and stock options ( in thousands ) : 2016 2015 2014 ( in thousands ) ."], ["table_1", "the share-based compensation expense of 2016 is $ 30809 ; the share-based compensation expense of 2015 ( in thousands ) is $ 21056 ; the share-based compensation expense of 2014 is $ 29793 ;"], ["table_2", "the income tax benefit of 2016 is $ 9879 ; the income tax benefit of 2015 ( in thousands ) is $ 6907 ; the income tax benefit of 2014 is $ 7126 ;"]]}, "answers": ["32.1%"]}, "rejected_source": {"id": "GPN/2016/page_83.pdf-4", "qa": {"question": "what is the estimated effective tax rate applied for share-based compensation expense in 2015?", "answer": "32.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "6907", "arg2": "21056", "res": "32.8%"}], "program": "divide(6907, 21056)", "gold_inds": {"table_1": "the share-based compensation expense of 2016 is $ 30809 ; the share-based compensation expense of 2015 ( in thousands ) is $ 21056 ; the share-based compensation expense of 2014 is $ 29793 ;", "table_2": "the income tax benefit of 2016 is $ 9879 ; the income tax benefit of 2015 ( in thousands ) is $ 6907 ; the income tax benefit of 2014 is $ 7126 ;"}, "exe_ans": 0.32803, "tfidftopn": {"text_6": "the following table summarizes share-based compensation expense and the related income tax benefit recognized for our share-based awards and stock options ( in thousands ) : 2016 2015 2014 ( in thousands ) ."}, "program_re": "divide(6907, 21056)", "model_input": [["text_6", "the following table summarizes share-based compensation expense and the related income tax benefit recognized for our share-based awards and stock options ( in thousands ) : 2016 2015 2014 ( in thousands ) ."], ["table_1", "the share-based compensation expense of 2016 is $ 30809 ; the share-based compensation expense of 2015 ( in thousands ) is $ 21056 ; the share-based compensation expense of 2014 is $ 29793 ;"], ["table_2", "the income tax benefit of 2016 is $ 9879 ; the income tax benefit of 2015 ( in thousands ) is $ 6907 ; the income tax benefit of 2014 is $ 7126 ;"]]}, "answers": ["32.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000402", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the estimated effective tax rate applied for share-based compensation expense in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "32.8%.", "rejected": "32.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what is the estimated effective tax rate applied for share-based compensation expense <TIME>?", "doc_prefix": "GPN", "base_question": "what is the estimated effective tax rate applied for share-based compensation expense <TIME>?", "original_question": "what is the estimated effective tax rate applied for share-based compensation expense in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"32.8%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "32.1%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GPN/2016/page_83.pdf-4", "qa": {"question": "what is the estimated effective tax rate applied for share-based compensation expense in 2015?", "answer": "32.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "6907", "arg2": "21056", "res": "32.8%"}], "program": "divide(6907, 21056)", "gold_inds": {"table_1": "the share-based compensation expense of 2016 is $ 30809 ; the share-based compensation expense of 2015 ( in thousands ) is $ 21056 ; the share-based compensation expense of 2014 is $ 29793 ;", "table_2": "the income tax benefit of 2016 is $ 9879 ; the income tax benefit of 2015 ( in thousands ) is $ 6907 ; the income tax benefit of 2014 is $ 7126 ;"}, "exe_ans": 0.32803, "tfidftopn": {"text_6": "the following table summarizes share-based compensation expense and the related income tax benefit recognized for our share-based awards and stock options ( in thousands ) : 2016 2015 2014 ( in thousands ) ."}, "program_re": "divide(6907, 21056)", "model_input": [["text_6", "the following table summarizes share-based compensation expense and the related income tax benefit recognized for our share-based awards and stock options ( in thousands ) : 2016 2015 2014 ( in thousands ) ."], ["table_1", "the share-based compensation expense of 2016 is $ 30809 ; the share-based compensation expense of 2015 ( in thousands ) is $ 21056 ; the share-based compensation expense of 2014 is $ 29793 ;"], ["table_2", "the income tax benefit of 2016 is $ 9879 ; the income tax benefit of 2015 ( in thousands ) is $ 6907 ; the income tax benefit of 2014 is $ 7126 ;"]]}, "answers": ["32.8%"]}, "rejected_source": {"id": "GPN/2016/page_83.pdf-1", "qa": {"question": "what is the estimated effective tax rate applied for share-based compensation expense in 2016?", "answer": "32.1%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "9879", "arg2": "30809", "res": "32.1%"}], "program": "divide(9879, 30809)", "gold_inds": {"table_1": "the share-based compensation expense of 2016 is $ 30809 ; the share-based compensation expense of 2015 ( in thousands ) is $ 21056 ; the share-based compensation expense of 2014 is $ 29793 ;", "table_2": "the income tax benefit of 2016 is $ 9879 ; the income tax benefit of 2015 ( in thousands ) is $ 6907 ; the income tax benefit of 2014 is $ 7126 ;"}, "exe_ans": 0.32065, "tfidftopn": {"text_6": "the following table summarizes share-based compensation expense and the related income tax benefit recognized for our share-based awards and stock options ( in thousands ) : 2016 2015 2014 ( in thousands ) ."}, "program_re": "divide(9879, 30809)", "model_input": [["text_6", "the following table summarizes share-based compensation expense and the related income tax benefit recognized for our share-based awards and stock options ( in thousands ) : 2016 2015 2014 ( in thousands ) ."], ["table_1", "the share-based compensation expense of 2016 is $ 30809 ; the share-based compensation expense of 2015 ( in thousands ) is $ 21056 ; the share-based compensation expense of 2014 is $ 29793 ;"], ["table_2", "the income tax benefit of 2016 is $ 9879 ; the income tax benefit of 2015 ( in thousands ) is $ 6907 ; the income tax benefit of 2014 is $ 7126 ;"]]}, "answers": ["32.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000403", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2015 and the closing price on february 19 , 2016?\nReference time interval: 2016-02-19 00:00:00 to 2016-02-20 00:00:00", "chosen": "-16.1%.", "rejected": "-17.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "original_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2015 and the closing price on february 19 , 2016?", "reference_time": {"start": "2016-02-19 00:00:00", "end": "2016-02-20 00:00:00", "normalized_text": "2016-02-19", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2007-02-22 00:00:00", "end": "2007-02-23 00:00:00", "normalized_text": "2007-02-22"}], "-17.4%": [{"start": "2008-02-29 00:00:00", "end": "2008-03-01 00:00:00", "normalized_text": "2008-02-29"}], "-16.1%": [{"start": "2016-02-19 00:00:00", "end": "2016-02-20 00:00:00", "normalized_text": "2016-02-19"}]}, "chosen_source": {"id": "AMT/2015/page_50.pdf-1", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2015 and the closing price on february 19 , 2016?", "answer": "-16.1%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "87.32", "arg2": "104.12", "res": "-16.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "104.12", "res": "-16.1%"}], "program": "subtract(87.32, 104.12), divide(#0, 104.12)", "gold_inds": {"table_4": "2015 the quarter ended december 31 of high is 104.12 ; the quarter ended december 31 of low is 87.23 ;", "text_2": "on february 19 , 2016 , the closing price of our common stock was $ 87.32 per share as reported on the nyse ."}, "exe_ans": -0.16135, "tfidftopn": {"table_9": "2015 The quarter ended december 31 of high is 106.31 ; The quarter ended december 31 of low is 90.20 ;"}, "program_re": "divide(subtract(87.32, 104.12), 104.12)", "model_input": [["table_4", "2015 the quarter ended december 31 of high is 104.12 ; the quarter ended december 31 of low is 87.23 ;"], ["table_9", "2015 the quarter ended december 31 of high is 106.31 ; the quarter ended december 31 of low is 90.20 ;"], ["text_2", "on february 19 , 2016 , the closing price of our common stock was $ 87.32 per share as reported on the nyse ."]]}, "answers": ["-16.1%"]}, "rejected_source": {"id": "AMT/2007/page_32.pdf-1", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2007 and the closing price on february 29 , 2008?", "answer": "-17.4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "38.44", "arg2": "46.53", "res": "-8.09"}, {"op": "divide1-2", "arg1": "#0", "arg2": "46.53", "res": "-17.4%"}], "program": "subtract(38.44, 46.53), divide(#0, 46.53)", "gold_inds": {"table_4": "2007 the quarter ended december 31 of high is 46.53 ; the quarter ended december 31 of low is 40.08 ;", "text_2": "on february 29 , 2008 , the closing price of our class a common stock was $ 38.44 per share as reported on the nyse ."}, "exe_ans": -0.17387, "tfidftopn": {"table_9": "2007 The quarter ended december 31 of high is 38.74 ; The quarter ended december 31 of low is 35.21 ;"}, "program_re": "divide(subtract(38.44, 46.53), 46.53)", "model_input": [["table_4", "2007 the quarter ended december 31 of high is 46.53 ; the quarter ended december 31 of low is 40.08 ;"], ["table_9", "2007 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;"], ["text_2", "on february 29 , 2008 , the closing price of our class a common stock was $ 38.44 per share as reported on the nyse ."]]}, "answers": ["-17.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000404", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2015 and the closing price on february 19 , 2016?\nReference time interval: 2016-02-19 00:00:00 to 2016-02-20 00:00:00", "chosen": "-16.1%.", "rejected": "4.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "original_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2015 and the closing price on february 19 , 2016?", "reference_time": {"start": "2016-02-19 00:00:00", "end": "2016-02-20 00:00:00", "normalized_text": "2016-02-19", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2007-02-22 00:00:00", "end": "2007-02-23 00:00:00", "normalized_text": "2007-02-22"}], "-17.4%": [{"start": "2008-02-29 00:00:00", "end": "2008-03-01 00:00:00", "normalized_text": "2008-02-29"}], "-16.1%": [{"start": "2016-02-19 00:00:00", "end": "2016-02-20 00:00:00", "normalized_text": "2016-02-19"}]}, "chosen_source": {"id": "AMT/2015/page_50.pdf-1", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2015 and the closing price on february 19 , 2016?", "answer": "-16.1%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "87.32", "arg2": "104.12", "res": "-16.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "104.12", "res": "-16.1%"}], "program": "subtract(87.32, 104.12), divide(#0, 104.12)", "gold_inds": {"table_4": "2015 the quarter ended december 31 of high is 104.12 ; the quarter ended december 31 of low is 87.23 ;", "text_2": "on february 19 , 2016 , the closing price of our common stock was $ 87.32 per share as reported on the nyse ."}, "exe_ans": -0.16135, "tfidftopn": {"table_9": "2015 The quarter ended december 31 of high is 106.31 ; The quarter ended december 31 of low is 90.20 ;"}, "program_re": "divide(subtract(87.32, 104.12), 104.12)", "model_input": [["table_4", "2015 the quarter ended december 31 of high is 104.12 ; the quarter ended december 31 of low is 87.23 ;"], ["table_9", "2015 the quarter ended december 31 of high is 106.31 ; the quarter ended december 31 of low is 90.20 ;"], ["text_2", "on february 19 , 2016 , the closing price of our common stock was $ 87.32 per share as reported on the nyse ."]]}, "answers": ["-16.1%"]}, "rejected_source": {"id": "AMT/2006/page_31.pdf-3", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2006 and the closing price on february 22 , 2007?", "answer": "4.2%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "40.38", "arg2": "38.74", "res": "1.64"}, {"op": "divide1-2", "arg1": "#0", "arg2": "38.74", "res": "4.2%"}], "program": "subtract(40.38, 38.74), divide(#0, 38.74)", "gold_inds": {"table_4": "2006 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;", "text_2": "on february 22 , 2007 , the closing price of our class a common stock was $ 40.38 per share as reported on the nyse ."}, "exe_ans": 0.04233, "tfidftopn": {"table_9": "2006 The quarter ended december 31 of high is 28.33 ; The quarter ended december 31 of low is 22.73 ;"}, "program_re": "divide(subtract(40.38, 38.74), 38.74)", "model_input": [["table_4", "2006 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;"], ["table_9", "2006 the quarter ended december 31 of high is 28.33 ; the quarter ended december 31 of low is 22.73 ;"], ["text_2", "on february 22 , 2007 , the closing price of our class a common stock was $ 40.38 per share as reported on the nyse ."]]}, "answers": ["4.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000405", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2007 and the closing price on february 29 , 2008?\nReference time interval: 2008-02-29 00:00:00 to 2008-03-01 00:00:00", "chosen": "-17.4%.", "rejected": "-16.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "original_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2007 and the closing price on february 29 , 2008?", "reference_time": {"start": "2008-02-29 00:00:00", "end": "2008-03-01 00:00:00", "normalized_text": "2008-02-29", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2007-02-22 00:00:00", "end": "2007-02-23 00:00:00", "normalized_text": "2007-02-22"}], "-17.4%": [{"start": "2008-02-29 00:00:00", "end": "2008-03-01 00:00:00", "normalized_text": "2008-02-29"}], "-16.1%": [{"start": "2016-02-19 00:00:00", "end": "2016-02-20 00:00:00", "normalized_text": "2016-02-19"}]}, "chosen_source": {"id": "AMT/2007/page_32.pdf-1", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2007 and the closing price on february 29 , 2008?", "answer": "-17.4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "38.44", "arg2": "46.53", "res": "-8.09"}, {"op": "divide1-2", "arg1": "#0", "arg2": "46.53", "res": "-17.4%"}], "program": "subtract(38.44, 46.53), divide(#0, 46.53)", "gold_inds": {"table_4": "2007 the quarter ended december 31 of high is 46.53 ; the quarter ended december 31 of low is 40.08 ;", "text_2": "on february 29 , 2008 , the closing price of our class a common stock was $ 38.44 per share as reported on the nyse ."}, "exe_ans": -0.17387, "tfidftopn": {"table_9": "2007 The quarter ended december 31 of high is 38.74 ; The quarter ended december 31 of low is 35.21 ;"}, "program_re": "divide(subtract(38.44, 46.53), 46.53)", "model_input": [["table_4", "2007 the quarter ended december 31 of high is 46.53 ; the quarter ended december 31 of low is 40.08 ;"], ["table_9", "2007 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;"], ["text_2", "on february 29 , 2008 , the closing price of our class a common stock was $ 38.44 per share as reported on the nyse ."]]}, "answers": ["-17.4%"]}, "rejected_source": {"id": "AMT/2015/page_50.pdf-1", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2015 and the closing price on february 19 , 2016?", "answer": "-16.1%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "87.32", "arg2": "104.12", "res": "-16.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "104.12", "res": "-16.1%"}], "program": "subtract(87.32, 104.12), divide(#0, 104.12)", "gold_inds": {"table_4": "2015 the quarter ended december 31 of high is 104.12 ; the quarter ended december 31 of low is 87.23 ;", "text_2": "on february 19 , 2016 , the closing price of our common stock was $ 87.32 per share as reported on the nyse ."}, "exe_ans": -0.16135, "tfidftopn": {"table_9": "2015 The quarter ended december 31 of high is 106.31 ; The quarter ended december 31 of low is 90.20 ;"}, "program_re": "divide(subtract(87.32, 104.12), 104.12)", "model_input": [["table_4", "2015 the quarter ended december 31 of high is 104.12 ; the quarter ended december 31 of low is 87.23 ;"], ["table_9", "2015 the quarter ended december 31 of high is 106.31 ; the quarter ended december 31 of low is 90.20 ;"], ["text_2", "on february 19 , 2016 , the closing price of our common stock was $ 87.32 per share as reported on the nyse ."]]}, "answers": ["-16.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000406", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2007 and the closing price on february 29 , 2008?\nReference time interval: 2008-02-29 00:00:00 to 2008-03-01 00:00:00", "chosen": "-17.4%.", "rejected": "4.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "original_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2007 and the closing price on february 29 , 2008?", "reference_time": {"start": "2008-02-29 00:00:00", "end": "2008-03-01 00:00:00", "normalized_text": "2008-02-29", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2007-02-22 00:00:00", "end": "2007-02-23 00:00:00", "normalized_text": "2007-02-22"}], "-17.4%": [{"start": "2008-02-29 00:00:00", "end": "2008-03-01 00:00:00", "normalized_text": "2008-02-29"}], "-16.1%": [{"start": "2016-02-19 00:00:00", "end": "2016-02-20 00:00:00", "normalized_text": "2016-02-19"}]}, "chosen_source": {"id": "AMT/2007/page_32.pdf-1", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2007 and the closing price on february 29 , 2008?", "answer": "-17.4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "38.44", "arg2": "46.53", "res": "-8.09"}, {"op": "divide1-2", "arg1": "#0", "arg2": "46.53", "res": "-17.4%"}], "program": "subtract(38.44, 46.53), divide(#0, 46.53)", "gold_inds": {"table_4": "2007 the quarter ended december 31 of high is 46.53 ; the quarter ended december 31 of low is 40.08 ;", "text_2": "on february 29 , 2008 , the closing price of our class a common stock was $ 38.44 per share as reported on the nyse ."}, "exe_ans": -0.17387, "tfidftopn": {"table_9": "2007 The quarter ended december 31 of high is 38.74 ; The quarter ended december 31 of low is 35.21 ;"}, "program_re": "divide(subtract(38.44, 46.53), 46.53)", "model_input": [["table_4", "2007 the quarter ended december 31 of high is 46.53 ; the quarter ended december 31 of low is 40.08 ;"], ["table_9", "2007 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;"], ["text_2", "on february 29 , 2008 , the closing price of our class a common stock was $ 38.44 per share as reported on the nyse ."]]}, "answers": ["-17.4%"]}, "rejected_source": {"id": "AMT/2006/page_31.pdf-3", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2006 and the closing price on february 22 , 2007?", "answer": "4.2%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "40.38", "arg2": "38.74", "res": "1.64"}, {"op": "divide1-2", "arg1": "#0", "arg2": "38.74", "res": "4.2%"}], "program": "subtract(40.38, 38.74), divide(#0, 38.74)", "gold_inds": {"table_4": "2006 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;", "text_2": "on february 22 , 2007 , the closing price of our class a common stock was $ 40.38 per share as reported on the nyse ."}, "exe_ans": 0.04233, "tfidftopn": {"table_9": "2006 The quarter ended december 31 of high is 28.33 ; The quarter ended december 31 of low is 22.73 ;"}, "program_re": "divide(subtract(40.38, 38.74), 38.74)", "model_input": [["table_4", "2006 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;"], ["table_9", "2006 the quarter ended december 31 of high is 28.33 ; the quarter ended december 31 of low is 22.73 ;"], ["text_2", "on february 22 , 2007 , the closing price of our class a common stock was $ 40.38 per share as reported on the nyse ."]]}, "answers": ["4.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000407", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2006 and the closing price on february 22 , 2007?\nReference time interval: 2007-02-22 00:00:00 to 2007-02-23 00:00:00", "chosen": "4.2%.", "rejected": "-16.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "original_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2006 and the closing price on february 22 , 2007?", "reference_time": {"start": "2007-02-22 00:00:00", "end": "2007-02-23 00:00:00", "normalized_text": "2007-02-22", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2007-02-22 00:00:00", "end": "2007-02-23 00:00:00", "normalized_text": "2007-02-22"}], "-17.4%": [{"start": "2008-02-29 00:00:00", "end": "2008-03-01 00:00:00", "normalized_text": "2008-02-29"}], "-16.1%": [{"start": "2016-02-19 00:00:00", "end": "2016-02-20 00:00:00", "normalized_text": "2016-02-19"}]}, "chosen_source": {"id": "AMT/2006/page_31.pdf-3", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2006 and the closing price on february 22 , 2007?", "answer": "4.2%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "40.38", "arg2": "38.74", "res": "1.64"}, {"op": "divide1-2", "arg1": "#0", "arg2": "38.74", "res": "4.2%"}], "program": "subtract(40.38, 38.74), divide(#0, 38.74)", "gold_inds": {"table_4": "2006 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;", "text_2": "on february 22 , 2007 , the closing price of our class a common stock was $ 40.38 per share as reported on the nyse ."}, "exe_ans": 0.04233, "tfidftopn": {"table_9": "2006 The quarter ended december 31 of high is 28.33 ; The quarter ended december 31 of low is 22.73 ;"}, "program_re": "divide(subtract(40.38, 38.74), 38.74)", "model_input": [["table_4", "2006 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;"], ["table_9", "2006 the quarter ended december 31 of high is 28.33 ; the quarter ended december 31 of low is 22.73 ;"], ["text_2", "on february 22 , 2007 , the closing price of our class a common stock was $ 40.38 per share as reported on the nyse ."]]}, "answers": ["4.2%"]}, "rejected_source": {"id": "AMT/2015/page_50.pdf-1", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2015 and the closing price on february 19 , 2016?", "answer": "-16.1%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "87.32", "arg2": "104.12", "res": "-16.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "104.12", "res": "-16.1%"}], "program": "subtract(87.32, 104.12), divide(#0, 104.12)", "gold_inds": {"table_4": "2015 the quarter ended december 31 of high is 104.12 ; the quarter ended december 31 of low is 87.23 ;", "text_2": "on february 19 , 2016 , the closing price of our common stock was $ 87.32 per share as reported on the nyse ."}, "exe_ans": -0.16135, "tfidftopn": {"table_9": "2015 The quarter ended december 31 of high is 106.31 ; The quarter ended december 31 of low is 90.20 ;"}, "program_re": "divide(subtract(87.32, 104.12), 104.12)", "model_input": [["table_4", "2015 the quarter ended december 31 of high is 104.12 ; the quarter ended december 31 of low is 87.23 ;"], ["table_9", "2015 the quarter ended december 31 of high is 106.31 ; the quarter ended december 31 of low is 90.20 ;"], ["text_2", "on february 19 , 2016 , the closing price of our common stock was $ 87.32 per share as reported on the nyse ."]]}, "answers": ["-16.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000408", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2006 and the closing price on february 22 , 2007?\nReference time interval: 2007-02-22 00:00:00 to 2007-02-23 00:00:00", "chosen": "4.2%.", "rejected": "-17.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , <TIME> and the closing price <TIME>?", "original_question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2006 and the closing price on february 22 , 2007?", "reference_time": {"start": "2007-02-22 00:00:00", "end": "2007-02-23 00:00:00", "normalized_text": "2007-02-22", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2007-02-22 00:00:00", "end": "2007-02-23 00:00:00", "normalized_text": "2007-02-22"}], "-17.4%": [{"start": "2008-02-29 00:00:00", "end": "2008-03-01 00:00:00", "normalized_text": "2008-02-29"}], "-16.1%": [{"start": "2016-02-19 00:00:00", "end": "2016-02-20 00:00:00", "normalized_text": "2016-02-19"}]}, "chosen_source": {"id": "AMT/2006/page_31.pdf-3", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2006 and the closing price on february 22 , 2007?", "answer": "4.2%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "40.38", "arg2": "38.74", "res": "1.64"}, {"op": "divide1-2", "arg1": "#0", "arg2": "38.74", "res": "4.2%"}], "program": "subtract(40.38, 38.74), divide(#0, 38.74)", "gold_inds": {"table_4": "2006 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;", "text_2": "on february 22 , 2007 , the closing price of our class a common stock was $ 40.38 per share as reported on the nyse ."}, "exe_ans": 0.04233, "tfidftopn": {"table_9": "2006 The quarter ended december 31 of high is 28.33 ; The quarter ended december 31 of low is 22.73 ;"}, "program_re": "divide(subtract(40.38, 38.74), 38.74)", "model_input": [["table_4", "2006 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;"], ["table_9", "2006 the quarter ended december 31 of high is 28.33 ; the quarter ended december 31 of low is 22.73 ;"], ["text_2", "on february 22 , 2007 , the closing price of our class a common stock was $ 40.38 per share as reported on the nyse ."]]}, "answers": ["4.2%"]}, "rejected_source": {"id": "AMT/2007/page_32.pdf-1", "qa": {"question": "what is the growth rate in the price of shares from the highest value during the quarter ended december 31 , 2007 and the closing price on february 29 , 2008?", "answer": "-17.4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "38.44", "arg2": "46.53", "res": "-8.09"}, {"op": "divide1-2", "arg1": "#0", "arg2": "46.53", "res": "-17.4%"}], "program": "subtract(38.44, 46.53), divide(#0, 46.53)", "gold_inds": {"table_4": "2007 the quarter ended december 31 of high is 46.53 ; the quarter ended december 31 of low is 40.08 ;", "text_2": "on february 29 , 2008 , the closing price of our class a common stock was $ 38.44 per share as reported on the nyse ."}, "exe_ans": -0.17387, "tfidftopn": {"table_9": "2007 The quarter ended december 31 of high is 38.74 ; The quarter ended december 31 of low is 35.21 ;"}, "program_re": "divide(subtract(38.44, 46.53), 46.53)", "model_input": [["table_4", "2007 the quarter ended december 31 of high is 46.53 ; the quarter ended december 31 of low is 40.08 ;"], ["table_9", "2007 the quarter ended december 31 of high is 38.74 ; the quarter ended december 31 of low is 35.21 ;"], ["text_2", "on february 29 , 2008 , the closing price of our class a common stock was $ 38.44 per share as reported on the nyse ."]]}, "answers": ["-17.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000409", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in weighted average shares outstanding for diluted net earnings per share from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-3%.", "rejected": "-4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the percentage change in weighted average shares outstanding for diluted net earnings per share <TIME>?", "doc_prefix": "ZBH", "base_question": "what was the percentage change in weighted average shares outstanding for diluted net earnings per share <TIME>?", "original_question": "what was the percentage change in weighted average shares outstanding for diluted net earnings per share from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "-4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "ZBH/2008/page_84.pdf-4", "qa": {"question": "what was the percentage change in weighted average shares outstanding for diluted net earnings per share from 2006 to 2007?", "answer": "-3%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "237.5", "arg2": "245.4", "res": "-7.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "245.4", "res": "-3%"}], "program": "subtract(237.5, 245.4), divide(#0, 245.4)", "gold_inds": {"table_3": "the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ;"}, "exe_ans": -0.03219, "tfidftopn": {"table_1": "The weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; The weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; The weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ;", "text_12": "weighted average shares outstanding for basic net earnings per share 227.3 235.5 243.0 effect of dilutive stock options and other equity awards 1.0 2.0 2.4 weighted average shares outstanding for diluted net earnings per share 228.3 237.5 245.4 for the year ended december 31 , 2008 , an average of 11.2 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "divide(subtract(237.5, 245.4), 245.4)", "model_input": [["text_11", "the following is a reconciliation of weighted average shares for the basic and diluted share computations for the years ending december 31 ( in millions ) : ."], ["table_1", "the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; the weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ;"], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ;"]]}, "answers": ["-3%"]}, "rejected_source": {"id": "ZBH/2008/page_84.pdf-2", "qa": {"question": "what was the percentage change in weighted average shares outstanding for diluted net earnings per share from 2007 to 2008?", "answer": "-4%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "228.3", "arg2": "237.5", "res": "-9.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "237.5", "res": "-4%"}], "program": "subtract(228.3, 237.5), divide(#0, 237.5)", "gold_inds": {"table_3": "the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ;"}, "exe_ans": -0.03874, "tfidftopn": {"table_1": "The weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; The weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; The weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ;", "text_12": "weighted average shares outstanding for basic net earnings per share 227.3 235.5 243.0 effect of dilutive stock options and other equity awards 1.0 2.0 2.4 weighted average shares outstanding for diluted net earnings per share 228.3 237.5 245.4 for the year ended december 31 , 2008 , an average of 11.2 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "divide(subtract(228.3, 237.5), 237.5)", "model_input": [["table_1", "the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; the weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ;"], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ;"], ["text_12", "weighted average shares outstanding for basic net earnings per share 227.3 235.5 243.0 effect of dilutive stock options and other equity awards 1.0 2.0 2.4 weighted average shares outstanding for diluted net earnings per share 228.3 237.5 245.4 for the year ended december 31 , 2008 , an average of 11.2 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."]]}, "answers": ["-4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000410", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in weighted average shares outstanding for diluted net earnings per share from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-4%.", "rejected": "-3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the percentage change in weighted average shares outstanding for diluted net earnings per share <TIME>?", "doc_prefix": "ZBH", "base_question": "what was the percentage change in weighted average shares outstanding for diluted net earnings per share <TIME>?", "original_question": "what was the percentage change in weighted average shares outstanding for diluted net earnings per share from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "-4%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "ZBH/2008/page_84.pdf-2", "qa": {"question": "what was the percentage change in weighted average shares outstanding for diluted net earnings per share from 2007 to 2008?", "answer": "-4%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "228.3", "arg2": "237.5", "res": "-9.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "237.5", "res": "-4%"}], "program": "subtract(228.3, 237.5), divide(#0, 237.5)", "gold_inds": {"table_3": "the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ;"}, "exe_ans": -0.03874, "tfidftopn": {"table_1": "The weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; The weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; The weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ;", "text_12": "weighted average shares outstanding for basic net earnings per share 227.3 235.5 243.0 effect of dilutive stock options and other equity awards 1.0 2.0 2.4 weighted average shares outstanding for diluted net earnings per share 228.3 237.5 245.4 for the year ended december 31 , 2008 , an average of 11.2 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "divide(subtract(228.3, 237.5), 237.5)", "model_input": [["table_1", "the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; the weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ;"], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ;"], ["text_12", "weighted average shares outstanding for basic net earnings per share 227.3 235.5 243.0 effect of dilutive stock options and other equity awards 1.0 2.0 2.4 weighted average shares outstanding for diluted net earnings per share 228.3 237.5 245.4 for the year ended december 31 , 2008 , an average of 11.2 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."]]}, "answers": ["-4%"]}, "rejected_source": {"id": "ZBH/2008/page_84.pdf-4", "qa": {"question": "what was the percentage change in weighted average shares outstanding for diluted net earnings per share from 2006 to 2007?", "answer": "-3%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "237.5", "arg2": "245.4", "res": "-7.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "245.4", "res": "-3%"}], "program": "subtract(237.5, 245.4), divide(#0, 245.4)", "gold_inds": {"table_3": "the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ;"}, "exe_ans": -0.03219, "tfidftopn": {"table_1": "The weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; The weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; The weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ;", "text_12": "weighted average shares outstanding for basic net earnings per share 227.3 235.5 243.0 effect of dilutive stock options and other equity awards 1.0 2.0 2.4 weighted average shares outstanding for diluted net earnings per share 228.3 237.5 245.4 for the year ended december 31 , 2008 , an average of 11.2 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "divide(subtract(237.5, 245.4), 245.4)", "model_input": [["text_11", "the following is a reconciliation of weighted average shares for the basic and diluted share computations for the years ending december 31 ( in millions ) : ."], ["table_1", "the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; the weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ;"], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ;"]]}, "answers": ["-3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000411", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the risk-free interest rate from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "38.7%.", "rejected": "9.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what is the growth rate in the risk-free interest rate <TIME>?", "doc_prefix": "STT", "base_question": "what is the growth rate in the risk-free interest rate <TIME>?", "original_question": "what is the growth rate in the risk-free interest rate from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38.7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "9.8%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "STT/2006/page_96.pdf-4", "qa": {"question": "what is the growth rate in the risk-free interest rate from 2004 to 2005?", "answer": "38.7%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4.19", "arg2": "3.02", "res": "1.17"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3.02", "res": "38.7%"}], "program": "subtract(4.19, 3.02), divide(#0, 3.02)", "gold_inds": {"table_3": "the risk-free interest rate of 2006 is 4.60 ; the risk-free interest rate of 2005 is 4.19 ; the risk-free interest rate of 2004 is 3.02 ;"}, "exe_ans": 0.38742, "tfidftopn": {"text_23": "the related total income tax benefit recorded in our consolidated statement of income was $ 83 million , $ 44 million and $ 30 million for 2006 , 2005 and 2004 , respectively .", "table_2": "The expected volatility of 2006 is 26.50 ; The expected volatility of 2005 is 28.70 ; The expected volatility of 2004 is 27.10 ;"}, "program_re": "divide(subtract(4.19, 3.02), 3.02)", "model_input": [["text_2", "for the year ended december 31 , 2004 , we realized net gains of $ 26 million on sales of available-for- sale securities ."], ["table_1", "the dividend yield of 2006 is 1.41% ( 1.41 % ) ; the dividend yield of 2005 is 1.85% ( 1.85 % ) ; the dividend yield of 2004 is 1.35% ( 1.35 % ) ;"], ["table_3", "the risk-free interest rate of 2006 is 4.60 ; the risk-free interest rate of 2005 is 4.19 ; the risk-free interest rate of 2004 is 3.02 ;"]]}, "answers": ["38.7%"]}, "rejected_source": {"id": "STT/2006/page_96.pdf-2", "qa": {"question": "what is the growth rate in the risk-free interest rate from 2005 to 2006?", "answer": "9.8%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4.60", "arg2": "4.19", "res": "0.41"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4.19", "res": "9.8%"}], "program": "subtract(4.60, 4.19), divide(#0, 4.19)", "gold_inds": {"table_3": "the risk-free interest rate of 2006 is 4.60 ; the risk-free interest rate of 2005 is 4.19 ; the risk-free interest rate of 2004 is 3.02 ;"}, "exe_ans": 0.09785, "tfidftopn": {"text_9": "as of december 31 , 2006 , 106045 awards have been made under the 2006 plan .", "text_8": "as of december 31 , 2006 , 1305420 shares from the 1997 plan have been added to and may be awarded from the 2006 plan ."}, "program_re": "divide(subtract(4.60, 4.19), 4.19)", "model_input": [["text_2", "for the year ended december 31 , 2004 , we realized net gains of $ 26 million on sales of available-for- sale securities ."], ["table_1", "the dividend yield of 2006 is 1.41% ( 1.41 % ) ; the dividend yield of 2005 is 1.85% ( 1.85 % ) ; the dividend yield of 2004 is 1.35% ( 1.35 % ) ;"], ["table_3", "the risk-free interest rate of 2006 is 4.60 ; the risk-free interest rate of 2005 is 4.19 ; the risk-free interest rate of 2004 is 3.02 ;"]]}, "answers": ["9.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000412", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the risk-free interest rate from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "9.8%.", "rejected": "38.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what is the growth rate in the risk-free interest rate <TIME>?", "doc_prefix": "STT", "base_question": "what is the growth rate in the risk-free interest rate <TIME>?", "original_question": "what is the growth rate in the risk-free interest rate from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38.7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "9.8%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "STT/2006/page_96.pdf-2", "qa": {"question": "what is the growth rate in the risk-free interest rate from 2005 to 2006?", "answer": "9.8%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4.60", "arg2": "4.19", "res": "0.41"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4.19", "res": "9.8%"}], "program": "subtract(4.60, 4.19), divide(#0, 4.19)", "gold_inds": {"table_3": "the risk-free interest rate of 2006 is 4.60 ; the risk-free interest rate of 2005 is 4.19 ; the risk-free interest rate of 2004 is 3.02 ;"}, "exe_ans": 0.09785, "tfidftopn": {"text_9": "as of december 31 , 2006 , 106045 awards have been made under the 2006 plan .", "text_8": "as of december 31 , 2006 , 1305420 shares from the 1997 plan have been added to and may be awarded from the 2006 plan ."}, "program_re": "divide(subtract(4.60, 4.19), 4.19)", "model_input": [["text_2", "for the year ended december 31 , 2004 , we realized net gains of $ 26 million on sales of available-for- sale securities ."], ["table_1", "the dividend yield of 2006 is 1.41% ( 1.41 % ) ; the dividend yield of 2005 is 1.85% ( 1.85 % ) ; the dividend yield of 2004 is 1.35% ( 1.35 % ) ;"], ["table_3", "the risk-free interest rate of 2006 is 4.60 ; the risk-free interest rate of 2005 is 4.19 ; the risk-free interest rate of 2004 is 3.02 ;"]]}, "answers": ["9.8%"]}, "rejected_source": {"id": "STT/2006/page_96.pdf-4", "qa": {"question": "what is the growth rate in the risk-free interest rate from 2004 to 2005?", "answer": "38.7%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4.19", "arg2": "3.02", "res": "1.17"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3.02", "res": "38.7%"}], "program": "subtract(4.19, 3.02), divide(#0, 3.02)", "gold_inds": {"table_3": "the risk-free interest rate of 2006 is 4.60 ; the risk-free interest rate of 2005 is 4.19 ; the risk-free interest rate of 2004 is 3.02 ;"}, "exe_ans": 0.38742, "tfidftopn": {"text_23": "the related total income tax benefit recorded in our consolidated statement of income was $ 83 million , $ 44 million and $ 30 million for 2006 , 2005 and 2004 , respectively .", "table_2": "The expected volatility of 2006 is 26.50 ; The expected volatility of 2005 is 28.70 ; The expected volatility of 2004 is 27.10 ;"}, "program_re": "divide(subtract(4.19, 3.02), 3.02)", "model_input": [["text_2", "for the year ended december 31 , 2004 , we realized net gains of $ 26 million on sales of available-for- sale securities ."], ["table_1", "the dividend yield of 2006 is 1.41% ( 1.41 % ) ; the dividend yield of 2005 is 1.85% ( 1.85 % ) ; the dividend yield of 2004 is 1.35% ( 1.35 % ) ;"], ["table_3", "the risk-free interest rate of 2006 is 4.60 ; the risk-free interest rate of 2005 is 4.19 ; the risk-free interest rate of 2004 is 3.02 ;"]]}, "answers": ["38.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000413", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the difference between the statutory tax rate and the effective tax rate for international operations in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-7.3.", "rejected": "17.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AON || what is the difference between the statutory tax rate and the effective tax rate for international operations <TIME>?", "doc_prefix": "AON", "base_question": "what is the difference between the statutory tax rate and the effective tax rate for international operations <TIME>?", "original_question": "what is the difference between the statutory tax rate and the effective tax rate for international operations in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17.2%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}], "-7.3": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "AON/2018/page_84.pdf-1", "qa": {"question": "what is the difference between the statutory tax rate and the effective tax rate for international operations in 2018?", "answer": "-7.3", "explanation": "", "ann_table_rows": [1, 12], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "11.7%", "arg2": "19.0%", "res": "-7.3"}], "program": "subtract(11.7%, 19.0%)", "gold_inds": {"table_1": "years ended december 31 the statutory tax rate of 2018 is 19.0% ( 19.0 % ) ; the statutory tax rate of 2017 is 19.3% ( 19.3 % ) ; the statutory tax rate of 2016 is 20.0% ( 20.0 % ) ;", "table_12": "years ended december 31 the effective tax rate of 2018 is 11.7% ( 11.7 % ) ; the effective tax rate of 2017 is 36.5% ( 36.5 % ) ; the effective tax rate of 2016 is 10.6% ( 10.6 % ) ;"}, "exe_ans": -0.073, "tfidftopn": {"text_1": "( 1 ) the company determines the adjustment for taxes on international operations based on the difference between the statutory tax rate applicable to earnings in each foreign jurisdiction and the enacted rate of 19.0% ( 19.0 % ) , 19.3% ( 19.3 % ) and 20.0% ( 20.0 % ) at december 31 , 2018 , 2017 , and 2016 , respectively ."}, "program_re": "subtract(11.7%, 19.0%)", "model_input": [["table_1", "years ended december 31 the statutory tax rate of 2018 is 19.0% ( 19.0 % ) ; the statutory tax rate of 2017 is 19.3% ( 19.3 % ) ; the statutory tax rate of 2016 is 20.0% ( 20.0 % ) ;"], ["table_3", "years ended december 31 the taxes on international operations ( 1 ) of 2018 is -7.3 ( 7.3 ) ; the taxes on international operations ( 1 ) of 2017 is -30.3 ( 30.3 ) ; the taxes on international operations ( 1 ) of 2016 is -12.2 ( 12.2 ) ;"], ["table_12", "years ended december 31 the effective tax rate of 2018 is 11.7% ( 11.7 % ) ; the effective tax rate of 2017 is 36.5% ( 36.5 % ) ; the effective tax rate of 2016 is 10.6% ( 10.6 % ) ;"]]}, "answers": ["-7.3"]}, "rejected_source": {"id": "AON/2018/page_84.pdf-2", "qa": {"question": "what is the difference between the statutory tax rate and the effective tax rate for international operations in 2018?", "answer": "17.2%", "explanation": "", "ann_table_rows": [1, 12], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "36.5%", "arg2": "19.3%", "res": "17.2%"}], "program": "subtract(36.5%, 19.3%)", "gold_inds": {"table_1": "years ended december 31 the statutory tax rate of 2018 is 19.0% ( 19.0 % ) ; the statutory tax rate of 2017 is 19.3% ( 19.3 % ) ; the statutory tax rate of 2016 is 20.0% ( 20.0 % ) ;", "table_12": "years ended december 31 the effective tax rate of 2018 is 11.7% ( 11.7 % ) ; the effective tax rate of 2017 is 36.5% ( 36.5 % ) ; the effective tax rate of 2016 is 10.6% ( 10.6 % ) ;"}, "exe_ans": 0.172, "tfidftopn": {"text_1": "( 1 ) the company determines the adjustment for taxes on international operations based on the difference between the statutory tax rate applicable to earnings in each foreign jurisdiction and the enacted rate of 19.0% ( 19.0 % ) , 19.3% ( 19.3 % ) and 20.0% ( 20.0 % ) at december 31 , 2018 , 2017 , and 2016 , respectively ."}, "program_re": "subtract(36.5%, 19.3%)", "model_input": [["table_1", "years ended december 31 the statutory tax rate of 2018 is 19.0% ( 19.0 % ) ; the statutory tax rate of 2017 is 19.3% ( 19.3 % ) ; the statutory tax rate of 2016 is 20.0% ( 20.0 % ) ;"], ["table_3", "years ended december 31 the taxes on international operations ( 1 ) of 2018 is -7.3 ( 7.3 ) ; the taxes on international operations ( 1 ) of 2017 is -30.3 ( 30.3 ) ; the taxes on international operations ( 1 ) of 2016 is -12.2 ( 12.2 ) ;"], ["table_12", "years ended december 31 the effective tax rate of 2018 is 11.7% ( 11.7 % ) ; the effective tax rate of 2017 is 36.5% ( 36.5 % ) ; the effective tax rate of 2016 is 10.6% ( 10.6 % ) ;"]]}, "answers": ["17.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000414", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the difference between the statutory tax rate and the effective tax rate for international operations in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "17.2%.", "rejected": "-7.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AON || what is the difference between the statutory tax rate and the effective tax rate for international operations <TIME>?", "doc_prefix": "AON", "base_question": "what is the difference between the statutory tax rate and the effective tax rate for international operations <TIME>?", "original_question": "what is the difference between the statutory tax rate and the effective tax rate for international operations in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17.2%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}], "-7.3": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "AON/2018/page_84.pdf-2", "qa": {"question": "what is the difference between the statutory tax rate and the effective tax rate for international operations in 2018?", "answer": "17.2%", "explanation": "", "ann_table_rows": [1, 12], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "36.5%", "arg2": "19.3%", "res": "17.2%"}], "program": "subtract(36.5%, 19.3%)", "gold_inds": {"table_1": "years ended december 31 the statutory tax rate of 2018 is 19.0% ( 19.0 % ) ; the statutory tax rate of 2017 is 19.3% ( 19.3 % ) ; the statutory tax rate of 2016 is 20.0% ( 20.0 % ) ;", "table_12": "years ended december 31 the effective tax rate of 2018 is 11.7% ( 11.7 % ) ; the effective tax rate of 2017 is 36.5% ( 36.5 % ) ; the effective tax rate of 2016 is 10.6% ( 10.6 % ) ;"}, "exe_ans": 0.172, "tfidftopn": {"text_1": "( 1 ) the company determines the adjustment for taxes on international operations based on the difference between the statutory tax rate applicable to earnings in each foreign jurisdiction and the enacted rate of 19.0% ( 19.0 % ) , 19.3% ( 19.3 % ) and 20.0% ( 20.0 % ) at december 31 , 2018 , 2017 , and 2016 , respectively ."}, "program_re": "subtract(36.5%, 19.3%)", "model_input": [["table_1", "years ended december 31 the statutory tax rate of 2018 is 19.0% ( 19.0 % ) ; the statutory tax rate of 2017 is 19.3% ( 19.3 % ) ; the statutory tax rate of 2016 is 20.0% ( 20.0 % ) ;"], ["table_3", "years ended december 31 the taxes on international operations ( 1 ) of 2018 is -7.3 ( 7.3 ) ; the taxes on international operations ( 1 ) of 2017 is -30.3 ( 30.3 ) ; the taxes on international operations ( 1 ) of 2016 is -12.2 ( 12.2 ) ;"], ["table_12", "years ended december 31 the effective tax rate of 2018 is 11.7% ( 11.7 % ) ; the effective tax rate of 2017 is 36.5% ( 36.5 % ) ; the effective tax rate of 2016 is 10.6% ( 10.6 % ) ;"]]}, "answers": ["17.2%"]}, "rejected_source": {"id": "AON/2018/page_84.pdf-1", "qa": {"question": "what is the difference between the statutory tax rate and the effective tax rate for international operations in 2018?", "answer": "-7.3", "explanation": "", "ann_table_rows": [1, 12], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "11.7%", "arg2": "19.0%", "res": "-7.3"}], "program": "subtract(11.7%, 19.0%)", "gold_inds": {"table_1": "years ended december 31 the statutory tax rate of 2018 is 19.0% ( 19.0 % ) ; the statutory tax rate of 2017 is 19.3% ( 19.3 % ) ; the statutory tax rate of 2016 is 20.0% ( 20.0 % ) ;", "table_12": "years ended december 31 the effective tax rate of 2018 is 11.7% ( 11.7 % ) ; the effective tax rate of 2017 is 36.5% ( 36.5 % ) ; the effective tax rate of 2016 is 10.6% ( 10.6 % ) ;"}, "exe_ans": -0.073, "tfidftopn": {"text_1": "( 1 ) the company determines the adjustment for taxes on international operations based on the difference between the statutory tax rate applicable to earnings in each foreign jurisdiction and the enacted rate of 19.0% ( 19.0 % ) , 19.3% ( 19.3 % ) and 20.0% ( 20.0 % ) at december 31 , 2018 , 2017 , and 2016 , respectively ."}, "program_re": "subtract(11.7%, 19.0%)", "model_input": [["table_1", "years ended december 31 the statutory tax rate of 2018 is 19.0% ( 19.0 % ) ; the statutory tax rate of 2017 is 19.3% ( 19.3 % ) ; the statutory tax rate of 2016 is 20.0% ( 20.0 % ) ;"], ["table_3", "years ended december 31 the taxes on international operations ( 1 ) of 2018 is -7.3 ( 7.3 ) ; the taxes on international operations ( 1 ) of 2017 is -30.3 ( 30.3 ) ; the taxes on international operations ( 1 ) of 2016 is -12.2 ( 12.2 ) ;"], ["table_12", "years ended december 31 the effective tax rate of 2018 is 11.7% ( 11.7 % ) ; the effective tax rate of 2017 is 36.5% ( 36.5 % ) ; the effective tax rate of 2016 is 10.6% ( 10.6 % ) ;"]]}, "answers": ["-7.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000415", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the allowance for uncollectible accounts from year end 2003 to 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "-24%.", "rejected": "-26%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CNC || what was the percentage change in the allowance for uncollectible accounts from year end <TIME> to <TIME>?", "doc_prefix": "CNC", "base_question": "what was the percentage change in the allowance for uncollectible accounts from year end <TIME> to <TIME>?", "original_question": "what was the percentage change in the allowance for uncollectible accounts from year end 2003 to 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-24%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "-26%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "CNC/2005/page_39.pdf-1", "qa": {"question": "what was the percentage change in the allowance for uncollectible accounts from year end 2003 to 2004?", "answer": "-24%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "462", "arg2": "607", "res": "-145"}, {"op": "divide1-2", "arg1": "#0", "arg2": "607", "res": "24%"}], "program": "subtract(462, 607), divide(#0, 607)", "gold_inds": {"table_4": "the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ; the allowances end of year of 2003 is $ 607 ;"}, "exe_ans": -0.23888, "tfidftopn": {"text_21": "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: .", "table_1": "The allowances beginning of year of 2005 is $ 462 ; The allowances beginning of year of 2004 is $ 607 ; The allowances beginning of year of 2003 is $ 219 ;"}, "program_re": "divide(subtract(462, 607), 607)", "model_input": [["table_1", "the allowances beginning of year of 2005 is $ 462 ; the allowances beginning of year of 2004 is $ 607 ; the allowances beginning of year of 2003 is $ 219 ;"], ["table_4", "the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ; the allowances end of year of 2003 is $ 607 ;"], ["text_29", "reinsurance expenses were approximately $ 4105 , $ 6724 , and $ 6185 in 2005 , 2004 , and 2003 , respectively ."]]}, "answers": ["-24%"]}, "rejected_source": {"id": "CNC/2005/page_39.pdf-2", "qa": {"question": "what was the percentage change in the allowance for uncollectible accounts from year end 2004 to 2005?", "answer": "-26%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "343", "arg2": "462", "res": "-119"}, {"op": "divide2-2", "arg1": "#0", "arg2": "462", "res": "-26%"}], "program": "subtract(343, 462), divide(#0, 462)", "gold_inds": {"table_4": "the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ; the allowances end of year of 2003 is $ 607 ;"}, "exe_ans": -0.25758, "tfidftopn": {"text_21": "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: .", "text_20": "revenues due to the company are recorded as premium and related receivables and recorded net of an allowance for uncol- lectible accounts based on historical trends and management 2019s judgment on the collectibility of these accounts ."}, "program_re": "divide(subtract(343, 462), 462)", "model_input": [["text_21", "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: ."], ["table_1", "the allowances beginning of year of 2005 is $ 462 ; the allowances beginning of year of 2004 is $ 607 ; the allowances beginning of year of 2003 is $ 219 ;"], ["table_4", "the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ; the allowances end of year of 2003 is $ 607 ;"]]}, "answers": ["-26%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000416", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the allowance for uncollectible accounts from year end 2004 to 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-26%.", "rejected": "-24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CNC || what was the percentage change in the allowance for uncollectible accounts from year end <TIME> to <TIME>?", "doc_prefix": "CNC", "base_question": "what was the percentage change in the allowance for uncollectible accounts from year end <TIME> to <TIME>?", "original_question": "what was the percentage change in the allowance for uncollectible accounts from year end 2004 to 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-24%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "-26%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "CNC/2005/page_39.pdf-2", "qa": {"question": "what was the percentage change in the allowance for uncollectible accounts from year end 2004 to 2005?", "answer": "-26%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "343", "arg2": "462", "res": "-119"}, {"op": "divide2-2", "arg1": "#0", "arg2": "462", "res": "-26%"}], "program": "subtract(343, 462), divide(#0, 462)", "gold_inds": {"table_4": "the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ; the allowances end of year of 2003 is $ 607 ;"}, "exe_ans": -0.25758, "tfidftopn": {"text_21": "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: .", "text_20": "revenues due to the company are recorded as premium and related receivables and recorded net of an allowance for uncol- lectible accounts based on historical trends and management 2019s judgment on the collectibility of these accounts ."}, "program_re": "divide(subtract(343, 462), 462)", "model_input": [["text_21", "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: ."], ["table_1", "the allowances beginning of year of 2005 is $ 462 ; the allowances beginning of year of 2004 is $ 607 ; the allowances beginning of year of 2003 is $ 219 ;"], ["table_4", "the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ; the allowances end of year of 2003 is $ 607 ;"]]}, "answers": ["-26%"]}, "rejected_source": {"id": "CNC/2005/page_39.pdf-1", "qa": {"question": "what was the percentage change in the allowance for uncollectible accounts from year end 2003 to 2004?", "answer": "-24%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "462", "arg2": "607", "res": "-145"}, {"op": "divide1-2", "arg1": "#0", "arg2": "607", "res": "24%"}], "program": "subtract(462, 607), divide(#0, 607)", "gold_inds": {"table_4": "the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ; the allowances end of year of 2003 is $ 607 ;"}, "exe_ans": -0.23888, "tfidftopn": {"text_21": "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: .", "table_1": "The allowances beginning of year of 2005 is $ 462 ; The allowances beginning of year of 2004 is $ 607 ; The allowances beginning of year of 2003 is $ 219 ;"}, "program_re": "divide(subtract(462, 607), 607)", "model_input": [["table_1", "the allowances beginning of year of 2005 is $ 462 ; the allowances beginning of year of 2004 is $ 607 ; the allowances beginning of year of 2003 is $ 219 ;"], ["table_4", "the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ; the allowances end of year of 2003 is $ 607 ;"], ["text_29", "reinsurance expenses were approximately $ 4105 , $ 6724 , and $ 6185 in 2005 , 2004 , and 2003 , respectively ."]]}, "answers": ["-24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000417", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in the valuation allowance in thousands between 2014 and 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "3376.", "rejected": "61.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what was the net change in the valuation allowance in thousands <TIME>?", "doc_prefix": "GPN", "base_question": "what was the net change in the valuation allowance in thousands <TIME>?", "original_question": "what was the net change in the valuation allowance in thousands between 2014 and 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3376": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}], "61": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}]}, "chosen_source": {"id": "GPN/2017/page_88.pdf-2", "qa": {"question": "what was the net change in the valuation allowance in thousands between 2014 and 2015?", "answer": "3376", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-3823", "arg2": "-7199", "res": "3376"}], "program": "subtract(-3823, -7199)", "gold_inds": {"table_3": "balance at may 31 2014 the balance at may 31 2015 of $ -7199 ( 7199 ) is -3823 ( 3823 ) ;"}, "exe_ans": 3376.0, "tfidftopn": {"text_1": "changes to our valuation allowance during the year ended december 31 , 2017 , the 2016 fiscal transition period and the years ended may 31 , 2016 and 2015 are summarized below ( in thousands ) : .", "table_16": "balance at may 31 2014 The rate change on domestic net operating loss and capital loss carryforwards of $ -7199 ( 7199 ) is 3868 ;"}, "program_re": "subtract(-3823, -7199)", "model_input": [["table_0", "balance at may 31 2014 the balance at may 31 2014 of $ -7199 ( 7199 ) is $ -7199 ( 7199 ) ;"], ["table_3", "balance at may 31 2014 the balance at may 31 2015 of $ -7199 ( 7199 ) is -3823 ( 3823 ) ;"], ["table_8", "balance at may 31 2014 the other of $ -7199 ( 7199 ) is 98 ;"]]}, "answers": ["3376"]}, "rejected_source": {"id": "GPN/2017/page_88.pdf-1", "qa": {"question": "what was the net change in the valuation allowance in thousands between 2016 and 2017?", "answer": "61", "explanation": "", "ann_table_rows": [12, 18], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-16550", "arg2": "-16611", "res": "61"}], "program": "subtract(-16550, -16611)", "gold_inds": {"table_12": "balance at may 31 2014 the balance at december 31 2016 of $ -7199 ( 7199 ) is -16611 ( 16611 ) ;", "table_18": "balance at may 31 2014 the balance at december 31 2017 of $ -7199 ( 7199 ) is $ -16550 ( 16550 ) ;"}, "exe_ans": 61.0, "tfidftopn": {"text_1": "changes to our valuation allowance during the year ended december 31 , 2017 , the 2016 fiscal transition period and the years ended may 31 , 2016 and 2015 are summarized below ( in thousands ) : ."}, "program_re": "subtract(-16550, -16611)", "model_input": [["table_9", "balance at may 31 2014 the balance at may 31 2016 of $ -7199 ( 7199 ) is -15119 ( 15119 ) ;"], ["table_12", "balance at may 31 2014 the balance at december 31 2016 of $ -7199 ( 7199 ) is -16611 ( 16611 ) ;"], ["table_18", "balance at may 31 2014 the balance at december 31 2017 of $ -7199 ( 7199 ) is $ -16550 ( 16550 ) ;"]]}, "answers": ["61"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000418", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in the valuation allowance in thousands between 2016 and 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "61.", "rejected": "3376.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what was the net change in the valuation allowance in thousands <TIME>?", "doc_prefix": "GPN", "base_question": "what was the net change in the valuation allowance in thousands <TIME>?", "original_question": "what was the net change in the valuation allowance in thousands between 2016 and 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3376": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}], "61": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}]}, "chosen_source": {"id": "GPN/2017/page_88.pdf-1", "qa": {"question": "what was the net change in the valuation allowance in thousands between 2016 and 2017?", "answer": "61", "explanation": "", "ann_table_rows": [12, 18], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-16550", "arg2": "-16611", "res": "61"}], "program": "subtract(-16550, -16611)", "gold_inds": {"table_12": "balance at may 31 2014 the balance at december 31 2016 of $ -7199 ( 7199 ) is -16611 ( 16611 ) ;", "table_18": "balance at may 31 2014 the balance at december 31 2017 of $ -7199 ( 7199 ) is $ -16550 ( 16550 ) ;"}, "exe_ans": 61.0, "tfidftopn": {"text_1": "changes to our valuation allowance during the year ended december 31 , 2017 , the 2016 fiscal transition period and the years ended may 31 , 2016 and 2015 are summarized below ( in thousands ) : ."}, "program_re": "subtract(-16550, -16611)", "model_input": [["table_9", "balance at may 31 2014 the balance at may 31 2016 of $ -7199 ( 7199 ) is -15119 ( 15119 ) ;"], ["table_12", "balance at may 31 2014 the balance at december 31 2016 of $ -7199 ( 7199 ) is -16611 ( 16611 ) ;"], ["table_18", "balance at may 31 2014 the balance at december 31 2017 of $ -7199 ( 7199 ) is $ -16550 ( 16550 ) ;"]]}, "answers": ["61"]}, "rejected_source": {"id": "GPN/2017/page_88.pdf-2", "qa": {"question": "what was the net change in the valuation allowance in thousands between 2014 and 2015?", "answer": "3376", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-3823", "arg2": "-7199", "res": "3376"}], "program": "subtract(-3823, -7199)", "gold_inds": {"table_3": "balance at may 31 2014 the balance at may 31 2015 of $ -7199 ( 7199 ) is -3823 ( 3823 ) ;"}, "exe_ans": 3376.0, "tfidftopn": {"text_1": "changes to our valuation allowance during the year ended december 31 , 2017 , the 2016 fiscal transition period and the years ended may 31 , 2016 and 2015 are summarized below ( in thousands ) : .", "table_16": "balance at may 31 2014 The rate change on domestic net operating loss and capital loss carryforwards of $ -7199 ( 7199 ) is 3868 ;"}, "program_re": "subtract(-3823, -7199)", "model_input": [["table_0", "balance at may 31 2014 the balance at may 31 2014 of $ -7199 ( 7199 ) is $ -7199 ( 7199 ) ;"], ["table_3", "balance at may 31 2014 the balance at may 31 2015 of $ -7199 ( 7199 ) is -3823 ( 3823 ) ;"], ["table_8", "balance at may 31 2014 the other of $ -7199 ( 7199 ) is 98 ;"]]}, "answers": ["3376"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000419", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: non cash items represent what percent of cash from operations in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "12%.", "rejected": "63%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAR || non cash items represent what percent of cash from operations <TIME>?", "doc_prefix": "MAR", "base_question": "non cash items represent what percent of cash from operations <TIME>?", "original_question": "non cash items represent what percent of cash from operations in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"63%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "12%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "MAR/2018/page_42.pdf-2", "qa": {"question": "non cash items represent what percent of cash from operations in 2018?", "answer": "12%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "287", "arg2": "2357", "res": "12%"}], "program": "divide(287, 2357)", "gold_inds": {"table_1": "( $ in millions ) the cash from operations of 2018 is $ 2357 ; the cash from operations of 2017 is $ 2227 ; the cash from operations of 2016 is $ 1619 ;", "table_2": "( $ in millions ) the non-cash items ( 1 ) of 2018 is 287 ; the non-cash items ( 1 ) of 2017 is 1397 ; the non-cash items ( 1 ) of 2016 is 514 ;"}, "exe_ans": 0.12176, "tfidftopn": {"text_4": "cash from operations cash from operations and non-cash items for the last three fiscal years are as follows: ."}, "program_re": "divide(287, 2357)", "model_input": [["text_4", "cash from operations cash from operations and non-cash items for the last three fiscal years are as follows: ."], ["table_1", "( $ in millions ) the cash from operations of 2018 is $ 2357 ; the cash from operations of 2017 is $ 2227 ; the cash from operations of 2016 is $ 1619 ;"], ["table_2", "( $ in millions ) the non-cash items ( 1 ) of 2018 is 287 ; the non-cash items ( 1 ) of 2017 is 1397 ; the non-cash items ( 1 ) of 2016 is 514 ;"]]}, "answers": ["12%"]}, "rejected_source": {"id": "MAR/2018/page_42.pdf-1", "qa": {"question": "non cash items represent what percent of cash from operations in 2017?", "answer": "63%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1397", "arg2": "2227", "res": "63%"}], "program": "divide(1397, 2227)", "gold_inds": {"table_1": "( $ in millions ) the cash from operations of 2018 is $ 2357 ; the cash from operations of 2017 is $ 2227 ; the cash from operations of 2016 is $ 1619 ;", "table_2": "( $ in millions ) the non-cash items ( 1 ) of 2018 is 287 ; the non-cash items ( 1 ) of 2017 is 1397 ; the non-cash items ( 1 ) of 2016 is 514 ;"}, "exe_ans": 0.6273, "tfidftopn": {"text_4": "cash from operations cash from operations and non-cash items for the last three fiscal years are as follows: ."}, "program_re": "divide(1397, 2227)", "model_input": [["text_4", "cash from operations cash from operations and non-cash items for the last three fiscal years are as follows: ."], ["table_1", "( $ in millions ) the cash from operations of 2018 is $ 2357 ; the cash from operations of 2017 is $ 2227 ; the cash from operations of 2016 is $ 1619 ;"], ["table_2", "( $ in millions ) the non-cash items ( 1 ) of 2018 is 287 ; the non-cash items ( 1 ) of 2017 is 1397 ; the non-cash items ( 1 ) of 2016 is 514 ;"]]}, "answers": ["63%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000420", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: non cash items represent what percent of cash from operations in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "63%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAR || non cash items represent what percent of cash from operations <TIME>?", "doc_prefix": "MAR", "base_question": "non cash items represent what percent of cash from operations <TIME>?", "original_question": "non cash items represent what percent of cash from operations in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"63%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "12%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "MAR/2018/page_42.pdf-1", "qa": {"question": "non cash items represent what percent of cash from operations in 2017?", "answer": "63%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1397", "arg2": "2227", "res": "63%"}], "program": "divide(1397, 2227)", "gold_inds": {"table_1": "( $ in millions ) the cash from operations of 2018 is $ 2357 ; the cash from operations of 2017 is $ 2227 ; the cash from operations of 2016 is $ 1619 ;", "table_2": "( $ in millions ) the non-cash items ( 1 ) of 2018 is 287 ; the non-cash items ( 1 ) of 2017 is 1397 ; the non-cash items ( 1 ) of 2016 is 514 ;"}, "exe_ans": 0.6273, "tfidftopn": {"text_4": "cash from operations cash from operations and non-cash items for the last three fiscal years are as follows: ."}, "program_re": "divide(1397, 2227)", "model_input": [["text_4", "cash from operations cash from operations and non-cash items for the last three fiscal years are as follows: ."], ["table_1", "( $ in millions ) the cash from operations of 2018 is $ 2357 ; the cash from operations of 2017 is $ 2227 ; the cash from operations of 2016 is $ 1619 ;"], ["table_2", "( $ in millions ) the non-cash items ( 1 ) of 2018 is 287 ; the non-cash items ( 1 ) of 2017 is 1397 ; the non-cash items ( 1 ) of 2016 is 514 ;"]]}, "answers": ["63%"]}, "rejected_source": {"id": "MAR/2018/page_42.pdf-2", "qa": {"question": "non cash items represent what percent of cash from operations in 2018?", "answer": "12%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "287", "arg2": "2357", "res": "12%"}], "program": "divide(287, 2357)", "gold_inds": {"table_1": "( $ in millions ) the cash from operations of 2018 is $ 2357 ; the cash from operations of 2017 is $ 2227 ; the cash from operations of 2016 is $ 1619 ;", "table_2": "( $ in millions ) the non-cash items ( 1 ) of 2018 is 287 ; the non-cash items ( 1 ) of 2017 is 1397 ; the non-cash items ( 1 ) of 2016 is 514 ;"}, "exe_ans": 0.12176, "tfidftopn": {"text_4": "cash from operations cash from operations and non-cash items for the last three fiscal years are as follows: ."}, "program_re": "divide(287, 2357)", "model_input": [["text_4", "cash from operations cash from operations and non-cash items for the last three fiscal years are as follows: ."], ["table_1", "( $ in millions ) the cash from operations of 2018 is $ 2357 ; the cash from operations of 2017 is $ 2227 ; the cash from operations of 2016 is $ 1619 ;"], ["table_2", "( $ in millions ) the non-cash items ( 1 ) of 2018 is 287 ; the non-cash items ( 1 ) of 2017 is 1397 ; the non-cash items ( 1 ) of 2016 is 514 ;"]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000421", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "61.5%.", "rejected": "66.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AWK || what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction <TIME>?", "doc_prefix": "AWK", "base_question": "what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction <TIME>?", "original_question": "what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"66.7%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "61.5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AWK/2015/page_106.pdf-1", "qa": {"question": "what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction during 2015?", "answer": "61.5%", "explanation": "", "ann_table_rows": [2, 1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "8", "arg2": "13", "res": "61.5%"}], "program": "divide(8, 13)", "gold_inds": {"table_2": "the allowance for borrowed funds used during construction of 2015 is 8 ; the allowance for borrowed funds used during construction of 2014 is 6 ; the allowance for borrowed funds used during construction of 2013 is 6 ;", "table_1": "the allowance for other funds used during construction of 2015 is $ 13 ; the allowance for other funds used during construction of 2014 is $ 9 ; the allowance for other funds used during construction of 2013 is $ 13 ;"}, "exe_ans": 0.61538, "tfidftopn": {"text_1": "allowance for funds used during construction afudc is a non-cash credit to income with a corresponding charge to utility plant that represents the cost of borrowed funds or a return on equity funds devoted to plant under construction ."}, "program_re": "divide(8, 13)", "model_input": [["text_5", "afudc is summarized in the following table for the years ended december 31: ."], ["table_1", "the allowance for other funds used during construction of 2015 is $ 13 ; the allowance for other funds used during construction of 2014 is $ 9 ; the allowance for other funds used during construction of 2013 is $ 13 ;"], ["table_2", "the allowance for borrowed funds used during construction of 2015 is 8 ; the allowance for borrowed funds used during construction of 2014 is 6 ; the allowance for borrowed funds used during construction of 2013 is 6 ;"]]}, "answers": ["61.5%"]}, "rejected_source": {"id": "AWK/2015/page_106.pdf-3", "qa": {"question": "what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction during 2014?", "answer": "66.7%", "explanation": "", "ann_table_rows": [2, 1], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "6", "arg2": "9", "res": "66.7%"}], "program": "divide(6, 9)", "gold_inds": {"table_2": "the allowance for borrowed funds used during construction of 2015 is 8 ; the allowance for borrowed funds used during construction of 2014 is 6 ; the allowance for borrowed funds used during construction of 2013 is 6 ;", "table_1": "the allowance for other funds used during construction of 2015 is $ 13 ; the allowance for other funds used during construction of 2014 is $ 9 ; the allowance for other funds used during construction of 2013 is $ 13 ;"}, "exe_ans": 0.66667, "tfidftopn": {"text_1": "allowance for funds used during construction afudc is a non-cash credit to income with a corresponding charge to utility plant that represents the cost of borrowed funds or a return on equity funds devoted to plant under construction ."}, "program_re": "divide(6, 9)", "model_input": [["text_5", "afudc is summarized in the following table for the years ended december 31: ."], ["table_1", "the allowance for other funds used during construction of 2015 is $ 13 ; the allowance for other funds used during construction of 2014 is $ 9 ; the allowance for other funds used during construction of 2013 is $ 13 ;"], ["table_2", "the allowance for borrowed funds used during construction of 2015 is 8 ; the allowance for borrowed funds used during construction of 2014 is 6 ; the allowance for borrowed funds used during construction of 2013 is 6 ;"]]}, "answers": ["66.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000422", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction during 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "66.7%.", "rejected": "61.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AWK || what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction <TIME>?", "doc_prefix": "AWK", "base_question": "what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction <TIME>?", "original_question": "what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction during 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"66.7%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "61.5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AWK/2015/page_106.pdf-3", "qa": {"question": "what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction during 2014?", "answer": "66.7%", "explanation": "", "ann_table_rows": [2, 1], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "6", "arg2": "9", "res": "66.7%"}], "program": "divide(6, 9)", "gold_inds": {"table_2": "the allowance for borrowed funds used during construction of 2015 is 8 ; the allowance for borrowed funds used during construction of 2014 is 6 ; the allowance for borrowed funds used during construction of 2013 is 6 ;", "table_1": "the allowance for other funds used during construction of 2015 is $ 13 ; the allowance for other funds used during construction of 2014 is $ 9 ; the allowance for other funds used during construction of 2013 is $ 13 ;"}, "exe_ans": 0.66667, "tfidftopn": {"text_1": "allowance for funds used during construction afudc is a non-cash credit to income with a corresponding charge to utility plant that represents the cost of borrowed funds or a return on equity funds devoted to plant under construction ."}, "program_re": "divide(6, 9)", "model_input": [["text_5", "afudc is summarized in the following table for the years ended december 31: ."], ["table_1", "the allowance for other funds used during construction of 2015 is $ 13 ; the allowance for other funds used during construction of 2014 is $ 9 ; the allowance for other funds used during construction of 2013 is $ 13 ;"], ["table_2", "the allowance for borrowed funds used during construction of 2015 is 8 ; the allowance for borrowed funds used during construction of 2014 is 6 ; the allowance for borrowed funds used during construction of 2013 is 6 ;"]]}, "answers": ["66.7%"]}, "rejected_source": {"id": "AWK/2015/page_106.pdf-1", "qa": {"question": "what was the allowance for borrowed funds used during construction as a percentage of allowance for other funds used during construction during 2015?", "answer": "61.5%", "explanation": "", "ann_table_rows": [2, 1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "8", "arg2": "13", "res": "61.5%"}], "program": "divide(8, 13)", "gold_inds": {"table_2": "the allowance for borrowed funds used during construction of 2015 is 8 ; the allowance for borrowed funds used during construction of 2014 is 6 ; the allowance for borrowed funds used during construction of 2013 is 6 ;", "table_1": "the allowance for other funds used during construction of 2015 is $ 13 ; the allowance for other funds used during construction of 2014 is $ 9 ; the allowance for other funds used during construction of 2013 is $ 13 ;"}, "exe_ans": 0.61538, "tfidftopn": {"text_1": "allowance for funds used during construction afudc is a non-cash credit to income with a corresponding charge to utility plant that represents the cost of borrowed funds or a return on equity funds devoted to plant under construction ."}, "program_re": "divide(8, 13)", "model_input": [["text_5", "afudc is summarized in the following table for the years ended december 31: ."], ["table_1", "the allowance for other funds used during construction of 2015 is $ 13 ; the allowance for other funds used during construction of 2014 is $ 9 ; the allowance for other funds used during construction of 2013 is $ 13 ;"], ["table_2", "the allowance for borrowed funds used during construction of 2015 is 8 ; the allowance for borrowed funds used during construction of 2014 is 6 ; the allowance for borrowed funds used during construction of 2013 is 6 ;"]]}, "answers": ["61.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000423", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net income reported in 2004 , ( in millions ) ?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2116.25.", "rejected": "2757.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HIG || what is the net income reported <TIME> , ( in millions ) ?", "doc_prefix": "HIG", "base_question": "what is the net income reported <TIME> , ( in millions ) ?", "original_question": "what is the net income reported in 2004 , ( in millions ) ?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2116.25": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "2947.9": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "2757.2": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "HIG/2004/page_67.pdf-1", "qa": {"question": "what is the net income reported in 2004 , ( in millions ) ?", "answer": "2116.25", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "292.3", "arg2": "7.24", "res": "2116.25"}], "program": "multiply(292.3, 7.24)", "gold_inds": {"table_1": "the basic earnings ( loss ) per share of 2004 is $ 7.24 ; the basic earnings ( loss ) per share of 2003 is $ -0.33 ( 0.33 ) ; the basic earnings ( loss ) per share of 2002 is $ 4.01 ;", "table_4": "the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2004 is 297.0 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2003 is 272.4 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2002 is 251.8 ;", "table_3": "the weighted average common shares outstanding ( basic ) of 2004 is 292.3 ; the weighted average common shares outstanding ( basic ) of 2003 is 272.4 ; the weighted average common shares outstanding ( basic ) of 2002 is 249.4 ;"}, "exe_ans": 2116.252, "tfidftopn": {}, "program_re": "multiply(292.3, 7.24)", "model_input": [["table_1", "the basic earnings ( loss ) per share of 2004 is $ 7.24 ; the basic earnings ( loss ) per share of 2003 is $ -0.33 ( 0.33 ) ; the basic earnings ( loss ) per share of 2002 is $ 4.01 ;"], ["table_3", "the weighted average common shares outstanding ( basic ) of 2004 is 292.3 ; the weighted average common shares outstanding ( basic ) of 2003 is 272.4 ; the weighted average common shares outstanding ( basic ) of 2002 is 249.4 ;"], ["table_4", "the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2004 is 297.0 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2003 is 272.4 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2002 is 251.8 ;"]]}, "answers": ["2116.25"]}, "rejected_source": {"id": "HIG/2008/page_113.pdf-1", "qa": {"question": "what is the net income reported in 2008 , ( in millions ) ?", "answer": "2757.2", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [12], "steps": [{"op": "multiply1-1", "arg1": "306.7", "arg2": "-8.99", "res": "2757.2"}], "program": "multiply(306.7, -8.99)", "gold_inds": {"table_1": "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;", "table_4": "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;", "text_12": "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."}, "exe_ans": -2757.233, "tfidftopn": {}, "program_re": "multiply(306.7, -8.99)", "model_input": [["text_12", "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."], ["table_1", "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;"], ["table_4", "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;"]]}, "answers": ["2757.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000424", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net income reported in 2004 , ( in millions ) ?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2116.25.", "rejected": "2947.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HIG || what is the net income reported <TIME> , ( in millions ) ?", "doc_prefix": "HIG", "base_question": "what is the net income reported <TIME> , ( in millions ) ?", "original_question": "what is the net income reported in 2004 , ( in millions ) ?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2116.25": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "2947.9": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "2757.2": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "HIG/2004/page_67.pdf-1", "qa": {"question": "what is the net income reported in 2004 , ( in millions ) ?", "answer": "2116.25", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "292.3", "arg2": "7.24", "res": "2116.25"}], "program": "multiply(292.3, 7.24)", "gold_inds": {"table_1": "the basic earnings ( loss ) per share of 2004 is $ 7.24 ; the basic earnings ( loss ) per share of 2003 is $ -0.33 ( 0.33 ) ; the basic earnings ( loss ) per share of 2002 is $ 4.01 ;", "table_4": "the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2004 is 297.0 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2003 is 272.4 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2002 is 251.8 ;", "table_3": "the weighted average common shares outstanding ( basic ) of 2004 is 292.3 ; the weighted average common shares outstanding ( basic ) of 2003 is 272.4 ; the weighted average common shares outstanding ( basic ) of 2002 is 249.4 ;"}, "exe_ans": 2116.252, "tfidftopn": {}, "program_re": "multiply(292.3, 7.24)", "model_input": [["table_1", "the basic earnings ( loss ) per share of 2004 is $ 7.24 ; the basic earnings ( loss ) per share of 2003 is $ -0.33 ( 0.33 ) ; the basic earnings ( loss ) per share of 2002 is $ 4.01 ;"], ["table_3", "the weighted average common shares outstanding ( basic ) of 2004 is 292.3 ; the weighted average common shares outstanding ( basic ) of 2003 is 272.4 ; the weighted average common shares outstanding ( basic ) of 2002 is 249.4 ;"], ["table_4", "the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2004 is 297.0 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2003 is 272.4 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2002 is 251.8 ;"]]}, "answers": ["2116.25"]}, "rejected_source": {"id": "HIG/2008/page_113.pdf-2", "qa": {"question": "what is the net income reported in 2007 , ( in millions ) ?", "answer": "2947.9", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [12], "steps": [{"op": "multiply2-1", "arg1": "316.3", "arg2": "9.32", "res": "2947.9"}], "program": "multiply(316.3, 9.32)", "gold_inds": {"table_1": "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;", "table_4": "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;", "text_12": "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors .", "table_3": "the weighted average common shares outstanding ( basic ) of 2008 is 306.7 ; the weighted average common shares outstanding ( basic ) of 2007 is 316.3 ; the weighted average common shares outstanding ( basic ) of 2006 is 308.8 ;"}, "exe_ans": 2947.916, "tfidftopn": {}, "program_re": "multiply(316.3, 9.32)", "model_input": [["text_12", "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."], ["table_1", "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;"], ["table_3", "the weighted average common shares outstanding ( basic ) of 2008 is 306.7 ; the weighted average common shares outstanding ( basic ) of 2007 is 316.3 ; the weighted average common shares outstanding ( basic ) of 2006 is 308.8 ;"], ["table_4", "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;"]]}, "answers": ["2947.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000425", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net income reported in 2008 , ( in millions ) ?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2757.2.", "rejected": "2116.25.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HIG || what is the net income reported <TIME> , ( in millions ) ?", "doc_prefix": "HIG", "base_question": "what is the net income reported <TIME> , ( in millions ) ?", "original_question": "what is the net income reported in 2008 , ( in millions ) ?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2116.25": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "2947.9": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "2757.2": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "HIG/2008/page_113.pdf-1", "qa": {"question": "what is the net income reported in 2008 , ( in millions ) ?", "answer": "2757.2", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [12], "steps": [{"op": "multiply1-1", "arg1": "306.7", "arg2": "-8.99", "res": "2757.2"}], "program": "multiply(306.7, -8.99)", "gold_inds": {"table_1": "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;", "table_4": "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;", "text_12": "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."}, "exe_ans": -2757.233, "tfidftopn": {}, "program_re": "multiply(306.7, -8.99)", "model_input": [["text_12", "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."], ["table_1", "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;"], ["table_4", "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;"]]}, "answers": ["2757.2"]}, "rejected_source": {"id": "HIG/2004/page_67.pdf-1", "qa": {"question": "what is the net income reported in 2004 , ( in millions ) ?", "answer": "2116.25", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "292.3", "arg2": "7.24", "res": "2116.25"}], "program": "multiply(292.3, 7.24)", "gold_inds": {"table_1": "the basic earnings ( loss ) per share of 2004 is $ 7.24 ; the basic earnings ( loss ) per share of 2003 is $ -0.33 ( 0.33 ) ; the basic earnings ( loss ) per share of 2002 is $ 4.01 ;", "table_4": "the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2004 is 297.0 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2003 is 272.4 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2002 is 251.8 ;", "table_3": "the weighted average common shares outstanding ( basic ) of 2004 is 292.3 ; the weighted average common shares outstanding ( basic ) of 2003 is 272.4 ; the weighted average common shares outstanding ( basic ) of 2002 is 249.4 ;"}, "exe_ans": 2116.252, "tfidftopn": {}, "program_re": "multiply(292.3, 7.24)", "model_input": [["table_1", "the basic earnings ( loss ) per share of 2004 is $ 7.24 ; the basic earnings ( loss ) per share of 2003 is $ -0.33 ( 0.33 ) ; the basic earnings ( loss ) per share of 2002 is $ 4.01 ;"], ["table_3", "the weighted average common shares outstanding ( basic ) of 2004 is 292.3 ; the weighted average common shares outstanding ( basic ) of 2003 is 272.4 ; the weighted average common shares outstanding ( basic ) of 2002 is 249.4 ;"], ["table_4", "the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2004 is 297.0 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2003 is 272.4 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2002 is 251.8 ;"]]}, "answers": ["2116.25"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000426", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net income reported in 2008 , ( in millions ) ?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2757.2.", "rejected": "2947.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HIG || what is the net income reported <TIME> , ( in millions ) ?", "doc_prefix": "HIG", "base_question": "what is the net income reported <TIME> , ( in millions ) ?", "original_question": "what is the net income reported in 2008 , ( in millions ) ?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2116.25": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "2947.9": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "2757.2": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "HIG/2008/page_113.pdf-1", "qa": {"question": "what is the net income reported in 2008 , ( in millions ) ?", "answer": "2757.2", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [12], "steps": [{"op": "multiply1-1", "arg1": "306.7", "arg2": "-8.99", "res": "2757.2"}], "program": "multiply(306.7, -8.99)", "gold_inds": {"table_1": "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;", "table_4": "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;", "text_12": "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."}, "exe_ans": -2757.233, "tfidftopn": {}, "program_re": "multiply(306.7, -8.99)", "model_input": [["text_12", "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."], ["table_1", "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;"], ["table_4", "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;"]]}, "answers": ["2757.2"]}, "rejected_source": {"id": "HIG/2008/page_113.pdf-2", "qa": {"question": "what is the net income reported in 2007 , ( in millions ) ?", "answer": "2947.9", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [12], "steps": [{"op": "multiply2-1", "arg1": "316.3", "arg2": "9.32", "res": "2947.9"}], "program": "multiply(316.3, 9.32)", "gold_inds": {"table_1": "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;", "table_4": "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;", "text_12": "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors .", "table_3": "the weighted average common shares outstanding ( basic ) of 2008 is 306.7 ; the weighted average common shares outstanding ( basic ) of 2007 is 316.3 ; the weighted average common shares outstanding ( basic ) of 2006 is 308.8 ;"}, "exe_ans": 2947.916, "tfidftopn": {}, "program_re": "multiply(316.3, 9.32)", "model_input": [["text_12", "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."], ["table_1", "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;"], ["table_3", "the weighted average common shares outstanding ( basic ) of 2008 is 306.7 ; the weighted average common shares outstanding ( basic ) of 2007 is 316.3 ; the weighted average common shares outstanding ( basic ) of 2006 is 308.8 ;"], ["table_4", "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;"]]}, "answers": ["2947.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000427", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net income reported in 2007 , ( in millions ) ?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "2947.9.", "rejected": "2116.25.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HIG || what is the net income reported <TIME> , ( in millions ) ?", "doc_prefix": "HIG", "base_question": "what is the net income reported <TIME> , ( in millions ) ?", "original_question": "what is the net income reported in 2007 , ( in millions ) ?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2116.25": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "2947.9": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "2757.2": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "HIG/2008/page_113.pdf-2", "qa": {"question": "what is the net income reported in 2007 , ( in millions ) ?", "answer": "2947.9", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [12], "steps": [{"op": "multiply2-1", "arg1": "316.3", "arg2": "9.32", "res": "2947.9"}], "program": "multiply(316.3, 9.32)", "gold_inds": {"table_1": "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;", "table_4": "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;", "text_12": "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors .", "table_3": "the weighted average common shares outstanding ( basic ) of 2008 is 306.7 ; the weighted average common shares outstanding ( basic ) of 2007 is 316.3 ; the weighted average common shares outstanding ( basic ) of 2006 is 308.8 ;"}, "exe_ans": 2947.916, "tfidftopn": {}, "program_re": "multiply(316.3, 9.32)", "model_input": [["text_12", "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."], ["table_1", "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;"], ["table_3", "the weighted average common shares outstanding ( basic ) of 2008 is 306.7 ; the weighted average common shares outstanding ( basic ) of 2007 is 316.3 ; the weighted average common shares outstanding ( basic ) of 2006 is 308.8 ;"], ["table_4", "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;"]]}, "answers": ["2947.9"]}, "rejected_source": {"id": "HIG/2004/page_67.pdf-1", "qa": {"question": "what is the net income reported in 2004 , ( in millions ) ?", "answer": "2116.25", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "292.3", "arg2": "7.24", "res": "2116.25"}], "program": "multiply(292.3, 7.24)", "gold_inds": {"table_1": "the basic earnings ( loss ) per share of 2004 is $ 7.24 ; the basic earnings ( loss ) per share of 2003 is $ -0.33 ( 0.33 ) ; the basic earnings ( loss ) per share of 2002 is $ 4.01 ;", "table_4": "the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2004 is 297.0 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2003 is 272.4 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2002 is 251.8 ;", "table_3": "the weighted average common shares outstanding ( basic ) of 2004 is 292.3 ; the weighted average common shares outstanding ( basic ) of 2003 is 272.4 ; the weighted average common shares outstanding ( basic ) of 2002 is 249.4 ;"}, "exe_ans": 2116.252, "tfidftopn": {}, "program_re": "multiply(292.3, 7.24)", "model_input": [["table_1", "the basic earnings ( loss ) per share of 2004 is $ 7.24 ; the basic earnings ( loss ) per share of 2003 is $ -0.33 ( 0.33 ) ; the basic earnings ( loss ) per share of 2002 is $ 4.01 ;"], ["table_3", "the weighted average common shares outstanding ( basic ) of 2004 is 292.3 ; the weighted average common shares outstanding ( basic ) of 2003 is 272.4 ; the weighted average common shares outstanding ( basic ) of 2002 is 249.4 ;"], ["table_4", "the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2004 is 297.0 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2003 is 272.4 ; the weighted average common shares outstanding and dilutivepotential common shares ( diluted ) [1] of 2002 is 251.8 ;"]]}, "answers": ["2116.25"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000428", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net income reported in 2007 , ( in millions ) ?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "2947.9.", "rejected": "2757.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HIG || what is the net income reported <TIME> , ( in millions ) ?", "doc_prefix": "HIG", "base_question": "what is the net income reported <TIME> , ( in millions ) ?", "original_question": "what is the net income reported in 2007 , ( in millions ) ?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2116.25": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "2947.9": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "2757.2": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "HIG/2008/page_113.pdf-2", "qa": {"question": "what is the net income reported in 2007 , ( in millions ) ?", "answer": "2947.9", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [12], "steps": [{"op": "multiply2-1", "arg1": "316.3", "arg2": "9.32", "res": "2947.9"}], "program": "multiply(316.3, 9.32)", "gold_inds": {"table_1": "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;", "table_4": "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;", "text_12": "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors .", "table_3": "the weighted average common shares outstanding ( basic ) of 2008 is 306.7 ; the weighted average common shares outstanding ( basic ) of 2007 is 316.3 ; the weighted average common shares outstanding ( basic ) of 2006 is 308.8 ;"}, "exe_ans": 2947.916, "tfidftopn": {}, "program_re": "multiply(316.3, 9.32)", "model_input": [["text_12", "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."], ["table_1", "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;"], ["table_3", "the weighted average common shares outstanding ( basic ) of 2008 is 306.7 ; the weighted average common shares outstanding ( basic ) of 2007 is 316.3 ; the weighted average common shares outstanding ( basic ) of 2006 is 308.8 ;"], ["table_4", "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;"]]}, "answers": ["2947.9"]}, "rejected_source": {"id": "HIG/2008/page_113.pdf-1", "qa": {"question": "what is the net income reported in 2008 , ( in millions ) ?", "answer": "2757.2", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [12], "steps": [{"op": "multiply1-1", "arg1": "306.7", "arg2": "-8.99", "res": "2757.2"}], "program": "multiply(306.7, -8.99)", "gold_inds": {"table_1": "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;", "table_4": "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;", "text_12": "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."}, "exe_ans": -2757.233, "tfidftopn": {}, "program_re": "multiply(306.7, -8.99)", "model_input": [["text_12", "actual results are likely to differ , and in the past have differed , materially from those forecast by the company , depending on the outcome of various factors , including , but not limited to , those set forth in each 201coutlook 201d section and in item 1a , risk factors ."], ["table_1", "the basic earnings ( losses ) per share of 2008 is $ -8.99 ( 8.99 ) ; the basic earnings ( losses ) per share of 2007 is $ 9.32 ; the basic earnings ( losses ) per share of 2006 is $ 8.89 ;"], ["table_4", "the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2008 is 306.7 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2007 is 319.1 ; the weighted average common shares outstanding and dilutive potential common shares ( diluted ) of 2006 is 315.9 ;"]]}, "answers": ["2757.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000429", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net sales where comprised of food and ingredients in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "26%.", "rejected": "28%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percentage of total net sales where comprised of food and ingredients <TIME>?", "doc_prefix": "CAG", "base_question": "what percentage of total net sales where comprised of food and ingredients <TIME>?", "original_question": "what percentage of total net sales where comprised of food and ingredients in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"26%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "28%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "CAG/2007/page_41.pdf-1", "qa": {"question": "what percentage of total net sales where comprised of food and ingredients in 2005?", "answer": "26%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2986", "arg2": "11384", "res": "26%"}], "program": "divide(2986, 11384)", "gold_inds": {"table_2": "reporting segment the food and ingredients of fiscal 2006 net sales is 3189 ; the food and ingredients of fiscal 2005 net sales is 2986 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 7% ( 7 % ) ;", "table_5": "reporting segment the total of fiscal 2006 net sales is $ 11482 ; the total of fiscal 2005 net sales is $ 11384 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"}, "exe_ans": 0.2623, "tfidftopn": {"text_28": "2005 net sales ( $ in millions ) reporting segment fiscal 2006 net sales fiscal 2005 net sales % (  % ) increase/ ( decrease ) ."}, "program_re": "divide(2986, 11384)", "model_input": [["table_1", "reporting segment the consumer foods of fiscal 2006 net sales is $ 6504 ; the consumer foods of fiscal 2005 net sales is $ 6598 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 1 ) % ( % ) ;"], ["table_2", "reporting segment the food and ingredients of fiscal 2006 net sales is 3189 ; the food and ingredients of fiscal 2005 net sales is 2986 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 7% ( 7 % ) ;"], ["table_5", "reporting segment the total of fiscal 2006 net sales is $ 11482 ; the total of fiscal 2005 net sales is $ 11384 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"]]}, "answers": ["26%"]}, "rejected_source": {"id": "CAG/2007/page_41.pdf-2", "qa": {"question": "what percentage of total net sales where comprised of food and ingredients in 2006?", "answer": "28%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3189", "arg2": "11482", "res": "28%"}], "program": "divide(3189, 11482)", "gold_inds": {"table_2": "reporting segment the food and ingredients of fiscal 2006 net sales is 3189 ; the food and ingredients of fiscal 2005 net sales is 2986 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 7% ( 7 % ) ;", "table_5": "reporting segment the total of fiscal 2006 net sales is $ 11482 ; the total of fiscal 2005 net sales is $ 11384 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"}, "exe_ans": 0.27774, "tfidftopn": {"text_28": "2005 net sales ( $ in millions ) reporting segment fiscal 2006 net sales fiscal 2005 net sales % (  % ) increase/ ( decrease ) ."}, "program_re": "divide(3189, 11482)", "model_input": [["table_1", "reporting segment the consumer foods of fiscal 2006 net sales is $ 6504 ; the consumer foods of fiscal 2005 net sales is $ 6598 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 1 ) % ( % ) ;"], ["table_2", "reporting segment the food and ingredients of fiscal 2006 net sales is 3189 ; the food and ingredients of fiscal 2005 net sales is 2986 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 7% ( 7 % ) ;"], ["table_5", "reporting segment the total of fiscal 2006 net sales is $ 11482 ; the total of fiscal 2005 net sales is $ 11384 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"]]}, "answers": ["28%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000430", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net sales where comprised of food and ingredients in 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "28%.", "rejected": "26%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percentage of total net sales where comprised of food and ingredients <TIME>?", "doc_prefix": "CAG", "base_question": "what percentage of total net sales where comprised of food and ingredients <TIME>?", "original_question": "what percentage of total net sales where comprised of food and ingredients in 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"26%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "28%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "CAG/2007/page_41.pdf-2", "qa": {"question": "what percentage of total net sales where comprised of food and ingredients in 2006?", "answer": "28%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3189", "arg2": "11482", "res": "28%"}], "program": "divide(3189, 11482)", "gold_inds": {"table_2": "reporting segment the food and ingredients of fiscal 2006 net sales is 3189 ; the food and ingredients of fiscal 2005 net sales is 2986 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 7% ( 7 % ) ;", "table_5": "reporting segment the total of fiscal 2006 net sales is $ 11482 ; the total of fiscal 2005 net sales is $ 11384 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"}, "exe_ans": 0.27774, "tfidftopn": {"text_28": "2005 net sales ( $ in millions ) reporting segment fiscal 2006 net sales fiscal 2005 net sales % (  % ) increase/ ( decrease ) ."}, "program_re": "divide(3189, 11482)", "model_input": [["table_1", "reporting segment the consumer foods of fiscal 2006 net sales is $ 6504 ; the consumer foods of fiscal 2005 net sales is $ 6598 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 1 ) % ( % ) ;"], ["table_2", "reporting segment the food and ingredients of fiscal 2006 net sales is 3189 ; the food and ingredients of fiscal 2005 net sales is 2986 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 7% ( 7 % ) ;"], ["table_5", "reporting segment the total of fiscal 2006 net sales is $ 11482 ; the total of fiscal 2005 net sales is $ 11384 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"]]}, "answers": ["28%"]}, "rejected_source": {"id": "CAG/2007/page_41.pdf-1", "qa": {"question": "what percentage of total net sales where comprised of food and ingredients in 2005?", "answer": "26%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2986", "arg2": "11384", "res": "26%"}], "program": "divide(2986, 11384)", "gold_inds": {"table_2": "reporting segment the food and ingredients of fiscal 2006 net sales is 3189 ; the food and ingredients of fiscal 2005 net sales is 2986 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 7% ( 7 % ) ;", "table_5": "reporting segment the total of fiscal 2006 net sales is $ 11482 ; the total of fiscal 2005 net sales is $ 11384 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"}, "exe_ans": 0.2623, "tfidftopn": {"text_28": "2005 net sales ( $ in millions ) reporting segment fiscal 2006 net sales fiscal 2005 net sales % (  % ) increase/ ( decrease ) ."}, "program_re": "divide(2986, 11384)", "model_input": [["table_1", "reporting segment the consumer foods of fiscal 2006 net sales is $ 6504 ; the consumer foods of fiscal 2005 net sales is $ 6598 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 1 ) % ( % ) ;"], ["table_2", "reporting segment the food and ingredients of fiscal 2006 net sales is 3189 ; the food and ingredients of fiscal 2005 net sales is 2986 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 7% ( 7 % ) ;"], ["table_5", "reporting segment the total of fiscal 2006 net sales is $ 11482 ; the total of fiscal 2005 net sales is $ 11384 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"]]}, "answers": ["26%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000431", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 2000 and 2001?\nReference time interval: 2000-01-01 00:00:00 to 2002-01-01 00:00:00", "chosen": "-2%.", "rejected": "-54%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method <TIME>?", "doc_prefix": "AES", "base_question": "what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method <TIME>?", "original_question": "what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 2000 and 2001?", "reference_time": {"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "between 2000 and 2001", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "between 2000 and 2001"}], "-54%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "between 2001 and 2002"}]}, "chosen_source": {"id": "AES/2002/page_117.pdf-2", "qa": {"question": "what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 2000 and 2001?", "answer": "-2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6147", "arg2": "6241", "res": "-94"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6241", "res": "-2%"}], "program": "subtract(6147, 6241), divide(#0, 6241)", "gold_inds": {"table_1": "as of and for the years ended december 31 , the revenues of 2002 is $ 2832 ; the revenues of 2001 is $ 6147 ; the revenues of 2000 is $ 6241 ;"}, "exe_ans": -0.01506, "tfidftopn": {"text_18": "the following table presents summarized comparative financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method. .", "text_21": "the company recorded $ 83 million , $ 210 million , and $ 64 million of pre-tax non-cash foreign currency transaction losses on its investments in brazilian equity method affiliates during 2002 , 2001 and 2000 , respectively. ."}, "program_re": "divide(subtract(6147, 6241), 6241)", "model_input": [["text_18", "the following table presents summarized comparative financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method. ."], ["table_1", "as of and for the years ended december 31 , the revenues of 2002 is $ 2832 ; the revenues of 2001 is $ 6147 ; the revenues of 2000 is $ 6241 ;"], ["table_8", "as of and for the years ended december 31, the stockholder's equity of 2002 is 3081 ; the stockholder's equity of 2001 is 6835 ; the stockholder's equity of 2000 is 6206 ;"]]}, "answers": ["-2%"]}, "rejected_source": {"id": "AES/2002/page_117.pdf-1", "qa": {"question": "what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 2001 and 2002?", "answer": "-54%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2832", "arg2": "6147", "res": "-3315"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6147", "res": "-54%"}], "program": "subtract(2832, 6147), divide(#0, 6147)", "gold_inds": {"table_1": "as of and for the years ended december 31 , the revenues of 2002 is $ 2832 ; the revenues of 2001 is $ 6147 ; the revenues of 2000 is $ 6241 ;"}, "exe_ans": -0.53929, "tfidftopn": {"text_18": "the following table presents summarized comparative financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method. .", "text_21": "the company recorded $ 83 million , $ 210 million , and $ 64 million of pre-tax non-cash foreign currency transaction losses on its investments in brazilian equity method affiliates during 2002 , 2001 and 2000 , respectively. ."}, "program_re": "divide(subtract(2832, 6147), 6147)", "model_input": [["text_18", "the following table presents summarized comparative financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method. ."], ["table_1", "as of and for the years ended december 31 , the revenues of 2002 is $ 2832 ; the revenues of 2001 is $ 6147 ; the revenues of 2000 is $ 6241 ;"], ["table_8", "as of and for the years ended december 31, the stockholder's equity of 2002 is 3081 ; the stockholder's equity of 2001 is 6835 ; the stockholder's equity of 2000 is 6206 ;"]]}, "answers": ["-54%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000432", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 2001 and 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "-54%.", "rejected": "-2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method <TIME>?", "doc_prefix": "AES", "base_question": "what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method <TIME>?", "original_question": "what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 2001 and 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "between 2001 and 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "between 2000 and 2001"}], "-54%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "between 2001 and 2002"}]}, "chosen_source": {"id": "AES/2002/page_117.pdf-1", "qa": {"question": "what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 2001 and 2002?", "answer": "-54%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2832", "arg2": "6147", "res": "-3315"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6147", "res": "-54%"}], "program": "subtract(2832, 6147), divide(#0, 6147)", "gold_inds": {"table_1": "as of and for the years ended december 31 , the revenues of 2002 is $ 2832 ; the revenues of 2001 is $ 6147 ; the revenues of 2000 is $ 6241 ;"}, "exe_ans": -0.53929, "tfidftopn": {"text_18": "the following table presents summarized comparative financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method. .", "text_21": "the company recorded $ 83 million , $ 210 million , and $ 64 million of pre-tax non-cash foreign currency transaction losses on its investments in brazilian equity method affiliates during 2002 , 2001 and 2000 , respectively. ."}, "program_re": "divide(subtract(2832, 6147), 6147)", "model_input": [["text_18", "the following table presents summarized comparative financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method. ."], ["table_1", "as of and for the years ended december 31 , the revenues of 2002 is $ 2832 ; the revenues of 2001 is $ 6147 ; the revenues of 2000 is $ 6241 ;"], ["table_8", "as of and for the years ended december 31, the stockholder's equity of 2002 is 3081 ; the stockholder's equity of 2001 is 6835 ; the stockholder's equity of 2000 is 6206 ;"]]}, "answers": ["-54%"]}, "rejected_source": {"id": "AES/2002/page_117.pdf-2", "qa": {"question": "what was the percentage change in revenues for investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 2000 and 2001?", "answer": "-2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6147", "arg2": "6241", "res": "-94"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6241", "res": "-2%"}], "program": "subtract(6147, 6241), divide(#0, 6241)", "gold_inds": {"table_1": "as of and for the years ended december 31 , the revenues of 2002 is $ 2832 ; the revenues of 2001 is $ 6147 ; the revenues of 2000 is $ 6241 ;"}, "exe_ans": -0.01506, "tfidftopn": {"text_18": "the following table presents summarized comparative financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method. .", "text_21": "the company recorded $ 83 million , $ 210 million , and $ 64 million of pre-tax non-cash foreign currency transaction losses on its investments in brazilian equity method affiliates during 2002 , 2001 and 2000 , respectively. ."}, "program_re": "divide(subtract(6147, 6241), 6241)", "model_input": [["text_18", "the following table presents summarized comparative financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method. ."], ["table_1", "as of and for the years ended december 31 , the revenues of 2002 is $ 2832 ; the revenues of 2001 is $ 6147 ; the revenues of 2000 is $ 6241 ;"], ["table_8", "as of and for the years ended december 31, the stockholder's equity of 2002 is 3081 ; the stockholder's equity of 2001 is 6835 ; the stockholder's equity of 2000 is 6206 ;"]]}, "answers": ["-2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000433", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were total mainline operating expenses in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "31381.", "rejected": "31903.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAL || what were total mainline operating expenses <TIME>?", "doc_prefix": "AAL", "base_question": "what were total mainline operating expenses <TIME>?", "original_question": "what were total mainline operating expenses in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"31381": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "31903": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "AAL/2014/page_18.pdf-4", "qa": {"question": "what were total mainline operating expenses in 2013?", "answer": "31381", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "11109", "arg2": "35.4", "res": "31381.36"}], "program": "divide(11109, 35.4)", "gold_inds": {"table_2": "year the 2013 ( a ) of gallons is 3608 ; the 2013 ( a ) of average price per gallon is 3.08 ; the 2013 ( a ) of aircraft fuel expense is 11109 ; the 2013 ( a ) of percent of total mainline operating expenses is 35.4 ;"}, "exe_ans": 313.81356, "tfidftopn": {"text_14": "year gallons average price per gallon aircraft fuel expense percent of total mainline operating expenses .", "table_3": "year The 2012 ( a ) of gallons is 3512 ; The 2012 ( a ) of average price per gallon is 3.19 ; The 2012 ( a ) of aircraft fuel expense is 11194 ; The 2012 ( a ) of percent of total mainline operating expenses is 35.8 ;"}, "program_re": "divide(11109, 35.4)", "model_input": [["table_1", "year the 2014 of gallons is 3644 ; the 2014 of average price per gallon is $ 2.91 ; the 2014 of aircraft fuel expense is $ 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"], ["table_2", "year the 2013 ( a ) of gallons is 3608 ; the 2013 ( a ) of average price per gallon is 3.08 ; the 2013 ( a ) of aircraft fuel expense is 11109 ; the 2013 ( a ) of percent of total mainline operating expenses is 35.4 ;"], ["table_3", "year the 2012 ( a ) of gallons is 3512 ; the 2012 ( a ) of average price per gallon is 3.19 ; the 2012 ( a ) of aircraft fuel expense is 11194 ; the 2012 ( a ) of percent of total mainline operating expenses is 35.8 ;"]]}, "answers": ["31381"]}, "rejected_source": {"id": "AAL/2014/page_18.pdf-3", "qa": {"question": "what were total mainline operating expenses in 2014?", "answer": "31903", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "10592", "arg2": "33.2%", "res": "31903"}], "program": "divide(10592, 33.2%)", "gold_inds": {"table_1": "year the 2014 of gallons is 3644 ; the 2014 of average price per gallon is $ 2.91 ; the 2014 of aircraft fuel expense is $ 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"}, "exe_ans": 31903.61446, "tfidftopn": {"text_14": "year gallons average price per gallon aircraft fuel expense percent of total mainline operating expenses .", "table_2": "year The 2013 ( a ) of gallons is 3608 ; The 2013 ( a ) of average price per gallon is 3.08 ; The 2013 ( a ) of aircraft fuel expense is 11109 ; The 2013 ( a ) of percent of total mainline operating expenses is 35.4 ;"}, "program_re": "divide(10592, 33.2%)", "model_input": [["table_1", "year the 2014 of gallons is 3644 ; the 2014 of average price per gallon is $ 2.91 ; the 2014 of aircraft fuel expense is $ 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"], ["table_2", "year the 2013 ( a ) of gallons is 3608 ; the 2013 ( a ) of average price per gallon is 3.08 ; the 2013 ( a ) of aircraft fuel expense is 11109 ; the 2013 ( a ) of percent of total mainline operating expenses is 35.4 ;"], ["table_3", "year the 2012 ( a ) of gallons is 3512 ; the 2012 ( a ) of average price per gallon is 3.19 ; the 2012 ( a ) of aircraft fuel expense is 11194 ; the 2012 ( a ) of percent of total mainline operating expenses is 35.8 ;"]]}, "answers": ["31903"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000434", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were total mainline operating expenses in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "31903.", "rejected": "31381.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAL || what were total mainline operating expenses <TIME>?", "doc_prefix": "AAL", "base_question": "what were total mainline operating expenses <TIME>?", "original_question": "what were total mainline operating expenses in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"31381": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "31903": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "AAL/2014/page_18.pdf-3", "qa": {"question": "what were total mainline operating expenses in 2014?", "answer": "31903", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "10592", "arg2": "33.2%", "res": "31903"}], "program": "divide(10592, 33.2%)", "gold_inds": {"table_1": "year the 2014 of gallons is 3644 ; the 2014 of average price per gallon is $ 2.91 ; the 2014 of aircraft fuel expense is $ 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"}, "exe_ans": 31903.61446, "tfidftopn": {"text_14": "year gallons average price per gallon aircraft fuel expense percent of total mainline operating expenses .", "table_2": "year The 2013 ( a ) of gallons is 3608 ; The 2013 ( a ) of average price per gallon is 3.08 ; The 2013 ( a ) of aircraft fuel expense is 11109 ; The 2013 ( a ) of percent of total mainline operating expenses is 35.4 ;"}, "program_re": "divide(10592, 33.2%)", "model_input": [["table_1", "year the 2014 of gallons is 3644 ; the 2014 of average price per gallon is $ 2.91 ; the 2014 of aircraft fuel expense is $ 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"], ["table_2", "year the 2013 ( a ) of gallons is 3608 ; the 2013 ( a ) of average price per gallon is 3.08 ; the 2013 ( a ) of aircraft fuel expense is 11109 ; the 2013 ( a ) of percent of total mainline operating expenses is 35.4 ;"], ["table_3", "year the 2012 ( a ) of gallons is 3512 ; the 2012 ( a ) of average price per gallon is 3.19 ; the 2012 ( a ) of aircraft fuel expense is 11194 ; the 2012 ( a ) of percent of total mainline operating expenses is 35.8 ;"]]}, "answers": ["31903"]}, "rejected_source": {"id": "AAL/2014/page_18.pdf-4", "qa": {"question": "what were total mainline operating expenses in 2013?", "answer": "31381", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "11109", "arg2": "35.4", "res": "31381.36"}], "program": "divide(11109, 35.4)", "gold_inds": {"table_2": "year the 2013 ( a ) of gallons is 3608 ; the 2013 ( a ) of average price per gallon is 3.08 ; the 2013 ( a ) of aircraft fuel expense is 11109 ; the 2013 ( a ) of percent of total mainline operating expenses is 35.4 ;"}, "exe_ans": 313.81356, "tfidftopn": {"text_14": "year gallons average price per gallon aircraft fuel expense percent of total mainline operating expenses .", "table_3": "year The 2012 ( a ) of gallons is 3512 ; The 2012 ( a ) of average price per gallon is 3.19 ; The 2012 ( a ) of aircraft fuel expense is 11194 ; The 2012 ( a ) of percent of total mainline operating expenses is 35.8 ;"}, "program_re": "divide(11109, 35.4)", "model_input": [["table_1", "year the 2014 of gallons is 3644 ; the 2014 of average price per gallon is $ 2.91 ; the 2014 of aircraft fuel expense is $ 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"], ["table_2", "year the 2013 ( a ) of gallons is 3608 ; the 2013 ( a ) of average price per gallon is 3.08 ; the 2013 ( a ) of aircraft fuel expense is 11109 ; the 2013 ( a ) of percent of total mainline operating expenses is 35.4 ;"], ["table_3", "year the 2012 ( a ) of gallons is 3512 ; the 2012 ( a ) of average price per gallon is 3.19 ; the 2012 ( a ) of aircraft fuel expense is 11194 ; the 2012 ( a ) of percent of total mainline operating expenses is 35.8 ;"]]}, "answers": ["31381"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000435", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were total operating expenses in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "38316\\\\n.", "rejected": "41932.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAL || what were total operating expenses <TIME>?", "doc_prefix": "AAL", "base_question": "what were total operating expenses <TIME>?", "original_question": "what were total operating expenses in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38316\\\\n": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "41932": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "AAL/2018/page_13.pdf-3", "qa": {"question": "what were total operating expenses in 2017?", "answer": "38316\\\\n", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "7510", "arg2": "19.6%", "res": "38316"}], "program": "divide(7510, 19.6%)", "gold_inds": {"table_2": "year the 2017 of gallons is 4352 ; the 2017 of average priceper gallon is 1.73 ; the 2017 of aircraft fuelexpense is 7510 ; the 2017 of percent of totaloperating expenses is 19.6% ( 19.6 % ) ;"}, "exe_ans": 38316.32653, "tfidftopn": {"text_1": "year gallons average price per gallon aircraft fuel expense percent of total operating expenses .", "text_14": "therefore , our quarterly results of operations are not necessarily indicative of operating results for the entire year , and historical operating results in a quarterly or annual period are not necessarily indicative of future operating results ."}, "program_re": "divide(7510, 19.6%)", "model_input": [["table_1", "year the 2018 of gallons is 4447 ; the 2018 of average priceper gallon is $ 2.23 ; the 2018 of aircraft fuelexpense is $ 9896 ; the 2018 of percent of totaloperating expenses is 23.6% ( 23.6 % ) ;"], ["table_2", "year the 2017 of gallons is 4352 ; the 2017 of average priceper gallon is 1.73 ; the 2017 of aircraft fuelexpense is 7510 ; the 2017 of percent of totaloperating expenses is 19.6% ( 19.6 % ) ;"], ["table_3", "year the 2016 of gallons is 4347 ; the 2016 of average priceper gallon is 1.42 ; the 2016 of aircraft fuelexpense is 6180 ; the 2016 of percent of totaloperating expenses is 17.6% ( 17.6 % ) ;"]]}, "answers": ["38316\\\\n"]}, "rejected_source": {"id": "AAL/2018/page_13.pdf-1", "qa": {"question": "what were total operating expenses in 2018?", "answer": "41932", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "9896", "arg2": "23.6%", "res": "41932"}], "program": "divide(9896, 23.6%)", "gold_inds": {"table_1": "year the 2018 of gallons is 4447 ; the 2018 of average priceper gallon is $ 2.23 ; the 2018 of aircraft fuelexpense is $ 9896 ; the 2018 of percent of totaloperating expenses is 23.6% ( 23.6 % ) ;"}, "exe_ans": 41932.20339, "tfidftopn": {"text_1": "year gallons average price per gallon aircraft fuel expense percent of total operating expenses .", "text_14": "therefore , our quarterly results of operations are not necessarily indicative of operating results for the entire year , and historical operating results in a quarterly or annual period are not necessarily indicative of future operating results ."}, "program_re": "divide(9896, 23.6%)", "model_input": [["table_1", "year the 2018 of gallons is 4447 ; the 2018 of average priceper gallon is $ 2.23 ; the 2018 of aircraft fuelexpense is $ 9896 ; the 2018 of percent of totaloperating expenses is 23.6% ( 23.6 % ) ;"], ["table_2", "year the 2017 of gallons is 4352 ; the 2017 of average priceper gallon is 1.73 ; the 2017 of aircraft fuelexpense is 7510 ; the 2017 of percent of totaloperating expenses is 19.6% ( 19.6 % ) ;"], ["table_3", "year the 2016 of gallons is 4347 ; the 2016 of average priceper gallon is 1.42 ; the 2016 of aircraft fuelexpense is 6180 ; the 2016 of percent of totaloperating expenses is 17.6% ( 17.6 % ) ;"]]}, "answers": ["41932"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000436", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were total operating expenses in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "41932.", "rejected": "38316\\\\n.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAL || what were total operating expenses <TIME>?", "doc_prefix": "AAL", "base_question": "what were total operating expenses <TIME>?", "original_question": "what were total operating expenses in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38316\\\\n": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "41932": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "AAL/2018/page_13.pdf-1", "qa": {"question": "what were total operating expenses in 2018?", "answer": "41932", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "9896", "arg2": "23.6%", "res": "41932"}], "program": "divide(9896, 23.6%)", "gold_inds": {"table_1": "year the 2018 of gallons is 4447 ; the 2018 of average priceper gallon is $ 2.23 ; the 2018 of aircraft fuelexpense is $ 9896 ; the 2018 of percent of totaloperating expenses is 23.6% ( 23.6 % ) ;"}, "exe_ans": 41932.20339, "tfidftopn": {"text_1": "year gallons average price per gallon aircraft fuel expense percent of total operating expenses .", "text_14": "therefore , our quarterly results of operations are not necessarily indicative of operating results for the entire year , and historical operating results in a quarterly or annual period are not necessarily indicative of future operating results ."}, "program_re": "divide(9896, 23.6%)", "model_input": [["table_1", "year the 2018 of gallons is 4447 ; the 2018 of average priceper gallon is $ 2.23 ; the 2018 of aircraft fuelexpense is $ 9896 ; the 2018 of percent of totaloperating expenses is 23.6% ( 23.6 % ) ;"], ["table_2", "year the 2017 of gallons is 4352 ; the 2017 of average priceper gallon is 1.73 ; the 2017 of aircraft fuelexpense is 7510 ; the 2017 of percent of totaloperating expenses is 19.6% ( 19.6 % ) ;"], ["table_3", "year the 2016 of gallons is 4347 ; the 2016 of average priceper gallon is 1.42 ; the 2016 of aircraft fuelexpense is 6180 ; the 2016 of percent of totaloperating expenses is 17.6% ( 17.6 % ) ;"]]}, "answers": ["41932"]}, "rejected_source": {"id": "AAL/2018/page_13.pdf-3", "qa": {"question": "what were total operating expenses in 2017?", "answer": "38316\\\\n", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "7510", "arg2": "19.6%", "res": "38316"}], "program": "divide(7510, 19.6%)", "gold_inds": {"table_2": "year the 2017 of gallons is 4352 ; the 2017 of average priceper gallon is 1.73 ; the 2017 of aircraft fuelexpense is 7510 ; the 2017 of percent of totaloperating expenses is 19.6% ( 19.6 % ) ;"}, "exe_ans": 38316.32653, "tfidftopn": {"text_1": "year gallons average price per gallon aircraft fuel expense percent of total operating expenses .", "text_14": "therefore , our quarterly results of operations are not necessarily indicative of operating results for the entire year , and historical operating results in a quarterly or annual period are not necessarily indicative of future operating results ."}, "program_re": "divide(7510, 19.6%)", "model_input": [["table_1", "year the 2018 of gallons is 4447 ; the 2018 of average priceper gallon is $ 2.23 ; the 2018 of aircraft fuelexpense is $ 9896 ; the 2018 of percent of totaloperating expenses is 23.6% ( 23.6 % ) ;"], ["table_2", "year the 2017 of gallons is 4352 ; the 2017 of average priceper gallon is 1.73 ; the 2017 of aircraft fuelexpense is 7510 ; the 2017 of percent of totaloperating expenses is 19.6% ( 19.6 % ) ;"], ["table_3", "year the 2016 of gallons is 4347 ; the 2016 of average priceper gallon is 1.42 ; the 2016 of aircraft fuelexpense is 6180 ; the 2016 of percent of totaloperating expenses is 17.6% ( 17.6 % ) ;"]]}, "answers": ["38316\\\\n"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000437", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total consolidated assets in 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "108288.9.", "rejected": "141891.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what are the total consolidated assets <TIME>?", "doc_prefix": "STT", "base_question": "what are the total consolidated assets <TIME>?", "original_question": "what are the total consolidated assets in 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"108288.9": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "141891.7": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "STT/2007/page_65.pdf-2", "qa": {"question": "what are the total consolidated assets in 2006?", "answer": "108288.9", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [1], "steps": [{"op": "divide2-1", "arg1": "9746", "arg2": "9%", "res": "108288.9"}], "program": "divide(9746, 9%)", "gold_inds": {"table_6": "( in millions ) the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ; the total cross-border outstandings of 2005 is $ 10809 ;", "text_1": "the total cross-border outstandings presented in the table represented 12% ( 12 % ) , 9% ( 9 % ) and 11% ( 11 % ) of our consolidated total assets as of december 31 , 2007 , 2006 and 2005 , respectively ."}, "exe_ans": 108288.88889, "tfidftopn": {"text_0": "cross-border outstandings to countries in which we do business which amounted to at least 1% ( 1 % ) of our consolidated total assets were as follows as of december 31 : 2007 2006 2005 ( in millions ) ."}, "program_re": "divide(9746, 9%)", "model_input": [["table_6", "( in millions ) the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ; the total cross-border outstandings of 2005 is $ 10809 ;"], ["text_1", "the total cross-border outstandings presented in the table represented 12% ( 12 % ) , 9% ( 9 % ) and 11% ( 11 % ) of our consolidated total assets as of december 31 , 2007 , 2006 and 2005 , respectively ."], ["text_3", "aggregate cross-border outstandings to countries which totaled between .75% ( .75 % ) and 1% ( 1 % ) of our consolidated total assets at december 31 , 2006 , amounted to $ 1.05 billion ( canada ) and at december 31 , 2005 , amounted to $ 1.86 billion ( belgium and japan ) ."]]}, "answers": ["108288.9"]}, "rejected_source": {"id": "STT/2007/page_65.pdf-4", "qa": {"question": "what are the total consolidated assets in 2007?", "answer": "141891.7", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [1], "steps": [{"op": "divide1-1", "arg1": "17027", "arg2": "12%", "res": "141891.7"}], "program": "divide(17027, 12%)", "gold_inds": {"table_6": "( in millions ) the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ; the total cross-border outstandings of 2005 is $ 10809 ;", "text_1": "the total cross-border outstandings presented in the table represented 12% ( 12 % ) , 9% ( 9 % ) and 11% ( 11 % ) of our consolidated total assets as of december 31 , 2007 , 2006 and 2005 , respectively ."}, "exe_ans": 141891.66667, "tfidftopn": {"text_0": "cross-border outstandings to countries in which we do business which amounted to at least 1% ( 1 % ) of our consolidated total assets were as follows as of december 31 : 2007 2006 2005 ( in millions ) ."}, "program_re": "divide(17027, 12%)", "model_input": [["table_1", "( in millions ) the united kingdom of 2007 is $ 5951 ; the united kingdom of 2006 is $ 5531 ; the united kingdom of 2005 is $ 2696 ;"], ["table_6", "( in millions ) the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ; the total cross-border outstandings of 2005 is $ 10809 ;"], ["text_1", "the total cross-border outstandings presented in the table represented 12% ( 12 % ) , 9% ( 9 % ) and 11% ( 11 % ) of our consolidated total assets as of december 31 , 2007 , 2006 and 2005 , respectively ."]]}, "answers": ["141891.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000438", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total consolidated assets in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "141891.7.", "rejected": "108288.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what are the total consolidated assets <TIME>?", "doc_prefix": "STT", "base_question": "what are the total consolidated assets <TIME>?", "original_question": "what are the total consolidated assets in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"108288.9": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "141891.7": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "STT/2007/page_65.pdf-4", "qa": {"question": "what are the total consolidated assets in 2007?", "answer": "141891.7", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [1], "steps": [{"op": "divide1-1", "arg1": "17027", "arg2": "12%", "res": "141891.7"}], "program": "divide(17027, 12%)", "gold_inds": {"table_6": "( in millions ) the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ; the total cross-border outstandings of 2005 is $ 10809 ;", "text_1": "the total cross-border outstandings presented in the table represented 12% ( 12 % ) , 9% ( 9 % ) and 11% ( 11 % ) of our consolidated total assets as of december 31 , 2007 , 2006 and 2005 , respectively ."}, "exe_ans": 141891.66667, "tfidftopn": {"text_0": "cross-border outstandings to countries in which we do business which amounted to at least 1% ( 1 % ) of our consolidated total assets were as follows as of december 31 : 2007 2006 2005 ( in millions ) ."}, "program_re": "divide(17027, 12%)", "model_input": [["table_1", "( in millions ) the united kingdom of 2007 is $ 5951 ; the united kingdom of 2006 is $ 5531 ; the united kingdom of 2005 is $ 2696 ;"], ["table_6", "( in millions ) the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ; the total cross-border outstandings of 2005 is $ 10809 ;"], ["text_1", "the total cross-border outstandings presented in the table represented 12% ( 12 % ) , 9% ( 9 % ) and 11% ( 11 % ) of our consolidated total assets as of december 31 , 2007 , 2006 and 2005 , respectively ."]]}, "answers": ["141891.7"]}, "rejected_source": {"id": "STT/2007/page_65.pdf-2", "qa": {"question": "what are the total consolidated assets in 2006?", "answer": "108288.9", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [1], "steps": [{"op": "divide2-1", "arg1": "9746", "arg2": "9%", "res": "108288.9"}], "program": "divide(9746, 9%)", "gold_inds": {"table_6": "( in millions ) the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ; the total cross-border outstandings of 2005 is $ 10809 ;", "text_1": "the total cross-border outstandings presented in the table represented 12% ( 12 % ) , 9% ( 9 % ) and 11% ( 11 % ) of our consolidated total assets as of december 31 , 2007 , 2006 and 2005 , respectively ."}, "exe_ans": 108288.88889, "tfidftopn": {"text_0": "cross-border outstandings to countries in which we do business which amounted to at least 1% ( 1 % ) of our consolidated total assets were as follows as of december 31 : 2007 2006 2005 ( in millions ) ."}, "program_re": "divide(9746, 9%)", "model_input": [["table_6", "( in millions ) the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ; the total cross-border outstandings of 2005 is $ 10809 ;"], ["text_1", "the total cross-border outstandings presented in the table represented 12% ( 12 % ) , 9% ( 9 % ) and 11% ( 11 % ) of our consolidated total assets as of december 31 , 2007 , 2006 and 2005 , respectively ."], ["text_3", "aggregate cross-border outstandings to countries which totaled between .75% ( .75 % ) and 1% ( 1 % ) of our consolidated total assets at december 31 , 2006 , amounted to $ 1.05 billion ( canada ) and at december 31 , 2005 , amounted to $ 1.86 billion ( belgium and japan ) ."]]}, "answers": ["108288.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000439", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the fair value per share between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-19%.", "rejected": "5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EW || what is the percentage change in the fair value per share <TIME>?", "doc_prefix": "EW", "base_question": "what is the percentage change in the fair value per share <TIME>?", "original_question": "what is the percentage change in the fair value per share between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "-19%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}]}, "chosen_source": {"id": "EW/2013/page_83.pdf-2", "qa": {"question": "what is the percentage change in the fair value per share between 2012 and 2013?", "answer": "-19%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "19.47", "arg2": "23.93", "res": "-4.46"}, {"op": "divide2-2", "arg1": "#0", "arg2": "23.93", "res": "-19%"}], "program": "subtract(19.47, 23.93), divide(#0, 23.93)", "gold_inds": {"table_5": "the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ; the fair value per share of 2011 is $ 22.78 ;"}, "exe_ans": -0.18638, "tfidftopn": {"text_15": "the fair value of each option award and employee stock purchase subscription is estimated on the date of grant using the black-scholes option valuation model that uses the assumptions noted in the following tables .", "text_6": "upon a director 2019s initial election to the board , the director receives an initial grant of restricted stock units equal to a fair market value on grant date of $ 0.2 million , not to exceed 10000 shares ."}, "program_re": "divide(subtract(19.47, 23.93), 23.93)", "model_input": [["text_21", "the black-scholes option pricing model was used with the following weighted-average assumptions for options granted during the following periods : option awards ."], ["table_3", "the expected volatility of 2013 is 31% ( 31 % ) ; the expected volatility of 2012 is 31% ( 31 % ) ; the expected volatility of 2011 is 27% ( 27 % ) ;"], ["table_5", "the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ; the fair value per share of 2011 is $ 22.78 ;"]]}, "answers": ["-19%"]}, "rejected_source": {"id": "EW/2013/page_83.pdf-1", "qa": {"question": "what is the percentage change in the fair value per share between 2011 and 2012?", "answer": "5%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "23.93", "arg2": "22.78", "res": "1.15"}, {"op": "divide1-2", "arg1": "#0", "arg2": "22.78", "res": "5%"}], "program": "subtract(23.93, 22.78), divide(#0, 22.78)", "gold_inds": {"table_5": "the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ; the fair value per share of 2011 is $ 22.78 ;"}, "exe_ans": 0.05048, "tfidftopn": {"text_15": "the fair value of each option award and employee stock purchase subscription is estimated on the date of grant using the black-scholes option valuation model that uses the assumptions noted in the following tables .", "text_6": "upon a director 2019s initial election to the board , the director receives an initial grant of restricted stock units equal to a fair market value on grant date of $ 0.2 million , not to exceed 10000 shares ."}, "program_re": "divide(subtract(23.93, 22.78), 22.78)", "model_input": [["text_21", "the black-scholes option pricing model was used with the following weighted-average assumptions for options granted during the following periods : option awards ."], ["table_3", "the expected volatility of 2013 is 31% ( 31 % ) ; the expected volatility of 2012 is 31% ( 31 % ) ; the expected volatility of 2011 is 27% ( 27 % ) ;"], ["table_5", "the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ; the fair value per share of 2011 is $ 22.78 ;"]]}, "answers": ["5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000440", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the fair value per share between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "5%.", "rejected": "-19%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EW || what is the percentage change in the fair value per share <TIME>?", "doc_prefix": "EW", "base_question": "what is the percentage change in the fair value per share <TIME>?", "original_question": "what is the percentage change in the fair value per share between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "-19%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}]}, "chosen_source": {"id": "EW/2013/page_83.pdf-1", "qa": {"question": "what is the percentage change in the fair value per share between 2011 and 2012?", "answer": "5%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "23.93", "arg2": "22.78", "res": "1.15"}, {"op": "divide1-2", "arg1": "#0", "arg2": "22.78", "res": "5%"}], "program": "subtract(23.93, 22.78), divide(#0, 22.78)", "gold_inds": {"table_5": "the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ; the fair value per share of 2011 is $ 22.78 ;"}, "exe_ans": 0.05048, "tfidftopn": {"text_15": "the fair value of each option award and employee stock purchase subscription is estimated on the date of grant using the black-scholes option valuation model that uses the assumptions noted in the following tables .", "text_6": "upon a director 2019s initial election to the board , the director receives an initial grant of restricted stock units equal to a fair market value on grant date of $ 0.2 million , not to exceed 10000 shares ."}, "program_re": "divide(subtract(23.93, 22.78), 22.78)", "model_input": [["text_21", "the black-scholes option pricing model was used with the following weighted-average assumptions for options granted during the following periods : option awards ."], ["table_3", "the expected volatility of 2013 is 31% ( 31 % ) ; the expected volatility of 2012 is 31% ( 31 % ) ; the expected volatility of 2011 is 27% ( 27 % ) ;"], ["table_5", "the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ; the fair value per share of 2011 is $ 22.78 ;"]]}, "answers": ["5%"]}, "rejected_source": {"id": "EW/2013/page_83.pdf-2", "qa": {"question": "what is the percentage change in the fair value per share between 2012 and 2013?", "answer": "-19%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "19.47", "arg2": "23.93", "res": "-4.46"}, {"op": "divide2-2", "arg1": "#0", "arg2": "23.93", "res": "-19%"}], "program": "subtract(19.47, 23.93), divide(#0, 23.93)", "gold_inds": {"table_5": "the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ; the fair value per share of 2011 is $ 22.78 ;"}, "exe_ans": -0.18638, "tfidftopn": {"text_15": "the fair value of each option award and employee stock purchase subscription is estimated on the date of grant using the black-scholes option valuation model that uses the assumptions noted in the following tables .", "text_6": "upon a director 2019s initial election to the board , the director receives an initial grant of restricted stock units equal to a fair market value on grant date of $ 0.2 million , not to exceed 10000 shares ."}, "program_re": "divide(subtract(19.47, 23.93), 23.93)", "model_input": [["text_21", "the black-scholes option pricing model was used with the following weighted-average assumptions for options granted during the following periods : option awards ."], ["table_3", "the expected volatility of 2013 is 31% ( 31 % ) ; the expected volatility of 2012 is 31% ( 31 % ) ; the expected volatility of 2011 is 27% ( 27 % ) ;"], ["table_5", "the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ; the fair value per share of 2011 is $ 22.78 ;"]]}, "answers": ["-19%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000441", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total purchase commitments are due in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "31%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what percentage of total purchase commitments are due <TIME>?", "doc_prefix": "PKG", "base_question": "what percentage of total purchase commitments are due <TIME>?", "original_question": "what percentage of total purchase commitments are due in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"31%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "7%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "PKG/2015/page_83.pdf-2", "qa": {"question": "what percentage of total purchase commitments are due in 2016?", "answer": "31%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "95.3", "arg2": "312.0", "res": "31%"}], "program": "divide(95.3, 312.0)", "gold_inds": {"table_6": "2016 the total of $ 95.3 is $ 312.0 ;"}, "exe_ans": 0.30545, "tfidftopn": {"text_7": "total purchase commitments were as follows ( dollars in millions ) : .", "text_1": "purchase commitments in the table below , we set forth our enforceable and legally binding purchase obligations as of december 31 , 2015 ."}, "program_re": "divide(95.3, 312.0)", "model_input": [["table_5", "2016 the thereafter of $ 95.3 is 77.0 ;"], ["table_6", "2016 the total of $ 95.3 is $ 312.0 ;"], ["text_8", "the company purchased a total of $ 299.6 million , $ 265.9 million , and $ 61.7 million during the years ended december 31 , 2015 , 2014 , and 2013 , respectively , under these purchase agreements ."]]}, "answers": ["31%"]}, "rejected_source": {"id": "PKG/2013/page_83.pdf-2", "qa": {"question": "what percentage of total purchase commitments are due in 2016?", "answer": "7%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "14840", "arg2": "207666", "res": "7%"}], "program": "divide(14840, 207666)", "gold_inds": {"table_2": "2014 the 2016 of $ 120971 is 14840 ;", "table_6": "2014 the total of $ 120971 is $ 207666 ;"}, "exe_ans": 0.07146, "tfidftopn": {"text_7": "total purchase commitments are as follows ( dollars in thousands ) : ."}, "program_re": "divide(14840, 207666)", "model_input": [["table_2", "2014 the 2016 of $ 120971 is 14840 ;"], ["table_5", "2014 the thereafter of $ 120971 is 11536 ;"], ["table_6", "2014 the total of $ 120971 is $ 207666 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000442", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total purchase commitments are due in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "7%.", "rejected": "31%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what percentage of total purchase commitments are due <TIME>?", "doc_prefix": "PKG", "base_question": "what percentage of total purchase commitments are due <TIME>?", "original_question": "what percentage of total purchase commitments are due in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"31%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "7%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "PKG/2013/page_83.pdf-2", "qa": {"question": "what percentage of total purchase commitments are due in 2016?", "answer": "7%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "14840", "arg2": "207666", "res": "7%"}], "program": "divide(14840, 207666)", "gold_inds": {"table_2": "2014 the 2016 of $ 120971 is 14840 ;", "table_6": "2014 the total of $ 120971 is $ 207666 ;"}, "exe_ans": 0.07146, "tfidftopn": {"text_7": "total purchase commitments are as follows ( dollars in thousands ) : ."}, "program_re": "divide(14840, 207666)", "model_input": [["table_2", "2014 the 2016 of $ 120971 is 14840 ;"], ["table_5", "2014 the thereafter of $ 120971 is 11536 ;"], ["table_6", "2014 the total of $ 120971 is $ 207666 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "PKG/2015/page_83.pdf-2", "qa": {"question": "what percentage of total purchase commitments are due in 2016?", "answer": "31%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "95.3", "arg2": "312.0", "res": "31%"}], "program": "divide(95.3, 312.0)", "gold_inds": {"table_6": "2016 the total of $ 95.3 is $ 312.0 ;"}, "exe_ans": 0.30545, "tfidftopn": {"text_7": "total purchase commitments were as follows ( dollars in millions ) : .", "text_1": "purchase commitments in the table below , we set forth our enforceable and legally binding purchase obligations as of december 31 , 2015 ."}, "program_re": "divide(95.3, 312.0)", "model_input": [["table_5", "2016 the thereafter of $ 95.3 is 77.0 ;"], ["table_6", "2016 the total of $ 95.3 is $ 312.0 ;"], ["text_8", "the company purchased a total of $ 299.6 million , $ 265.9 million , and $ 61.7 million during the years ended december 31 , 2015 , 2014 , and 2013 , respectively , under these purchase agreements ."]]}, "answers": ["31%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000443", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the consolidated total assets as of december 31 , 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "141891.7.", "rejected": "157600.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what are the consolidated total assets as of december 31 , <TIME>?", "doc_prefix": "STT", "base_question": "what are the consolidated total assets as of december 31 , <TIME>?", "original_question": "what are the consolidated total assets as of december 31 , 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"141891.7": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "157600": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "STT/2008/page_73.pdf-2", "qa": {"question": "what are the consolidated total assets as of december 31 , 2007?", "answer": "141891.7", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [4], "steps": [{"op": "divide2-1", "arg1": "17027", "arg2": "12%", "res": "141891.7"}], "program": "divide(17027, 12%)", "gold_inds": {"table_5": "( in millions ) the total cross-border outstandings of 2008 is $ 7880 ; the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ;", "text_4": "the total cross-border outstandings presented in the table represented 5% ( 5 % ) , 12% ( 12 % ) and 9% ( 9 % ) of our consolidated total assets as of december 31 , 2008 , 2007 and 2006 , respectively ."}, "exe_ans": 141891.66667, "tfidftopn": {"text_6": "there were no cross-border outstandings to countries which totaled between .75% ( .75 % ) and 1% ( 1 % ) of our consolidated total assets as of december 31 , 2007 ."}, "program_re": "divide(17027, 12%)", "model_input": [["text_3", "cross-border outstandings to countries in which we do business which amounted to at least 1% ( 1 % ) of our consolidated total assets were as follows as of december 31: ."], ["table_5", "( in millions ) the total cross-border outstandings of 2008 is $ 7880 ; the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ;"], ["text_4", "the total cross-border outstandings presented in the table represented 5% ( 5 % ) , 12% ( 12 % ) and 9% ( 9 % ) of our consolidated total assets as of december 31 , 2008 , 2007 and 2006 , respectively ."]]}, "answers": ["141891.7"]}, "rejected_source": {"id": "STT/2008/page_73.pdf-1", "qa": {"question": "what are the consolidated total assets as of december 31 , 2008?", "answer": "157600", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [4], "steps": [{"op": "divide1-1", "arg1": "7880", "arg2": "5%", "res": "157600"}], "program": "divide(7880, 5%)", "gold_inds": {"table_5": "( in millions ) the total cross-border outstandings of 2008 is $ 7880 ; the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ;", "text_4": "the total cross-border outstandings presented in the table represented 5% ( 5 % ) , 12% ( 12 % ) and 9% ( 9 % ) of our consolidated total assets as of december 31 , 2008 , 2007 and 2006 , respectively ."}, "exe_ans": 157600.0, "tfidftopn": {"text_3": "cross-border outstandings to countries in which we do business which amounted to at least 1% ( 1 % ) of our consolidated total assets were as follows as of december 31: ."}, "program_re": "divide(7880, 5%)", "model_input": [["text_3", "cross-border outstandings to countries in which we do business which amounted to at least 1% ( 1 % ) of our consolidated total assets were as follows as of december 31: ."], ["table_5", "( in millions ) the total cross-border outstandings of 2008 is $ 7880 ; the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ;"], ["text_4", "the total cross-border outstandings presented in the table represented 5% ( 5 % ) , 12% ( 12 % ) and 9% ( 9 % ) of our consolidated total assets as of december 31 , 2008 , 2007 and 2006 , respectively ."]]}, "answers": ["157600"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000444", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the consolidated total assets as of december 31 , 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "157600.", "rejected": "141891.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what are the consolidated total assets as of december 31 , <TIME>?", "doc_prefix": "STT", "base_question": "what are the consolidated total assets as of december 31 , <TIME>?", "original_question": "what are the consolidated total assets as of december 31 , 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"141891.7": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "157600": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "STT/2008/page_73.pdf-1", "qa": {"question": "what are the consolidated total assets as of december 31 , 2008?", "answer": "157600", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [4], "steps": [{"op": "divide1-1", "arg1": "7880", "arg2": "5%", "res": "157600"}], "program": "divide(7880, 5%)", "gold_inds": {"table_5": "( in millions ) the total cross-border outstandings of 2008 is $ 7880 ; the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ;", "text_4": "the total cross-border outstandings presented in the table represented 5% ( 5 % ) , 12% ( 12 % ) and 9% ( 9 % ) of our consolidated total assets as of december 31 , 2008 , 2007 and 2006 , respectively ."}, "exe_ans": 157600.0, "tfidftopn": {"text_3": "cross-border outstandings to countries in which we do business which amounted to at least 1% ( 1 % ) of our consolidated total assets were as follows as of december 31: ."}, "program_re": "divide(7880, 5%)", "model_input": [["text_3", "cross-border outstandings to countries in which we do business which amounted to at least 1% ( 1 % ) of our consolidated total assets were as follows as of december 31: ."], ["table_5", "( in millions ) the total cross-border outstandings of 2008 is $ 7880 ; the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ;"], ["text_4", "the total cross-border outstandings presented in the table represented 5% ( 5 % ) , 12% ( 12 % ) and 9% ( 9 % ) of our consolidated total assets as of december 31 , 2008 , 2007 and 2006 , respectively ."]]}, "answers": ["157600"]}, "rejected_source": {"id": "STT/2008/page_73.pdf-2", "qa": {"question": "what are the consolidated total assets as of december 31 , 2007?", "answer": "141891.7", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [4], "steps": [{"op": "divide2-1", "arg1": "17027", "arg2": "12%", "res": "141891.7"}], "program": "divide(17027, 12%)", "gold_inds": {"table_5": "( in millions ) the total cross-border outstandings of 2008 is $ 7880 ; the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ;", "text_4": "the total cross-border outstandings presented in the table represented 5% ( 5 % ) , 12% ( 12 % ) and 9% ( 9 % ) of our consolidated total assets as of december 31 , 2008 , 2007 and 2006 , respectively ."}, "exe_ans": 141891.66667, "tfidftopn": {"text_6": "there were no cross-border outstandings to countries which totaled between .75% ( .75 % ) and 1% ( 1 % ) of our consolidated total assets as of december 31 , 2007 ."}, "program_re": "divide(17027, 12%)", "model_input": [["text_3", "cross-border outstandings to countries in which we do business which amounted to at least 1% ( 1 % ) of our consolidated total assets were as follows as of december 31: ."], ["table_5", "( in millions ) the total cross-border outstandings of 2008 is $ 7880 ; the total cross-border outstandings of 2007 is $ 17027 ; the total cross-border outstandings of 2006 is $ 9746 ;"], ["text_4", "the total cross-border outstandings presented in the table represented 5% ( 5 % ) , 12% ( 12 % ) and 9% ( 9 % ) of our consolidated total assets as of december 31 , 2008 , 2007 and 2006 , respectively ."]]}, "answers": ["141891.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000445", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by how much did the effective tax rate decrease from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "-5.5%.", "rejected": "-5.50%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MRO || by how much did the effective tax rate decrease <TIME>?", "doc_prefix": "MRO", "base_question": "by how much did the effective tax rate decrease <TIME>?", "original_question": "by how much did the effective tax rate decrease from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5.5%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "-5.50%": [{"start": "2002-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2002 to 2004"}]}, "chosen_source": {"id": "MRO/2003/page_65.pdf-1", "qa": {"question": "by how much did the effective tax rate decrease from 2002 to 2003?", "answer": "-5.5%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36.6%", "arg2": "42.1%", "res": "-5.5%"}], "program": "subtract(36.6%, 42.1%)", "gold_inds": {"table_5": "the effective tax rate of 2003 is 36.6% ( 36.6 % ) ; the effective tax rate of 2002 is 42.1% ( 42.1 % ) ; the effective tax rate of 2001 is 37.1% ( 37.1 % ) ;"}, "exe_ans": -0.055, "tfidftopn": {"text_34": "increased the effective tax rate 7.0 percent in 2002. .", "text_32": "the following is an analysis of the effective tax rate for the periods presented: ."}, "program_re": "subtract(36.6%, 42.1%)", "model_input": [["text_32", "the following is an analysis of the effective tax rate for the periods presented: ."], ["table_1", "the statutory tax rate of 2003 is 35.0% ( 35.0 % ) ; the statutory tax rate of 2002 is 35.0% ( 35.0 % ) ; the statutory tax rate of 2001 is 35.0% ( 35.0 % ) ;"], ["table_5", "the effective tax rate of 2003 is 36.6% ( 36.6 % ) ; the effective tax rate of 2002 is 42.1% ( 42.1 % ) ; the effective tax rate of 2001 is 37.1% ( 37.1 % ) ;"]]}, "answers": ["-5.5%"]}, "rejected_source": {"id": "MRO/2004/page_57.pdf-1", "qa": {"question": "by how much did the effective tax rate decrease from 2002 to 2004?", "answer": "-5.50%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36.6%", "arg2": "42.1%", "res": "-5.50%"}], "program": "subtract(36.6%, 42.1%)", "gold_inds": {"table_5": "the effective tax rate of 2004 is 36.6% ( 36.6 % ) ; the effective tax rate of 2003 is 36.6% ( 36.6 % ) ; the effective tax rate of 2002 is 42.1% ( 42.1 % ) ;"}, "exe_ans": -0.055, "tfidftopn": {"text_27": "increased the effective tax rate 7.0 percent in .", "text_14": "the decrease in 2004 is primarily due to an increase in interest income ."}, "program_re": "subtract(36.6%, 42.1%)", "model_input": [["text_25", "the following is an analysis of the effective tax rate for the periods presented: ."], ["table_1", "the statutory tax rate of 2004 is 35.0% ( 35.0 % ) ; the statutory tax rate of 2003 is 35.0% ( 35.0 % ) ; the statutory tax rate of 2002 is 35.0% ( 35.0 % ) ;"], ["table_5", "the effective tax rate of 2004 is 36.6% ( 36.6 % ) ; the effective tax rate of 2003 is 36.6% ( 36.6 % ) ; the effective tax rate of 2002 is 42.1% ( 42.1 % ) ;"]]}, "answers": ["-5.50%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000446", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by how much did the effective tax rate decrease from 2002 to 2004?\nReference time interval: 2002-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "-5.50%.", "rejected": "-5.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MRO || by how much did the effective tax rate decrease <TIME>?", "doc_prefix": "MRO", "base_question": "by how much did the effective tax rate decrease <TIME>?", "original_question": "by how much did the effective tax rate decrease from 2002 to 2004?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2002 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5.5%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "-5.50%": [{"start": "2002-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2002 to 2004"}]}, "chosen_source": {"id": "MRO/2004/page_57.pdf-1", "qa": {"question": "by how much did the effective tax rate decrease from 2002 to 2004?", "answer": "-5.50%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36.6%", "arg2": "42.1%", "res": "-5.50%"}], "program": "subtract(36.6%, 42.1%)", "gold_inds": {"table_5": "the effective tax rate of 2004 is 36.6% ( 36.6 % ) ; the effective tax rate of 2003 is 36.6% ( 36.6 % ) ; the effective tax rate of 2002 is 42.1% ( 42.1 % ) ;"}, "exe_ans": -0.055, "tfidftopn": {"text_27": "increased the effective tax rate 7.0 percent in .", "text_14": "the decrease in 2004 is primarily due to an increase in interest income ."}, "program_re": "subtract(36.6%, 42.1%)", "model_input": [["text_25", "the following is an analysis of the effective tax rate for the periods presented: ."], ["table_1", "the statutory tax rate of 2004 is 35.0% ( 35.0 % ) ; the statutory tax rate of 2003 is 35.0% ( 35.0 % ) ; the statutory tax rate of 2002 is 35.0% ( 35.0 % ) ;"], ["table_5", "the effective tax rate of 2004 is 36.6% ( 36.6 % ) ; the effective tax rate of 2003 is 36.6% ( 36.6 % ) ; the effective tax rate of 2002 is 42.1% ( 42.1 % ) ;"]]}, "answers": ["-5.50%"]}, "rejected_source": {"id": "MRO/2003/page_65.pdf-1", "qa": {"question": "by how much did the effective tax rate decrease from 2002 to 2003?", "answer": "-5.5%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36.6%", "arg2": "42.1%", "res": "-5.5%"}], "program": "subtract(36.6%, 42.1%)", "gold_inds": {"table_5": "the effective tax rate of 2003 is 36.6% ( 36.6 % ) ; the effective tax rate of 2002 is 42.1% ( 42.1 % ) ; the effective tax rate of 2001 is 37.1% ( 37.1 % ) ;"}, "exe_ans": -0.055, "tfidftopn": {"text_34": "increased the effective tax rate 7.0 percent in 2002. .", "text_32": "the following is an analysis of the effective tax rate for the periods presented: ."}, "program_re": "subtract(36.6%, 42.1%)", "model_input": [["text_32", "the following is an analysis of the effective tax rate for the periods presented: ."], ["table_1", "the statutory tax rate of 2003 is 35.0% ( 35.0 % ) ; the statutory tax rate of 2002 is 35.0% ( 35.0 % ) ; the statutory tax rate of 2001 is 35.0% ( 35.0 % ) ;"], ["table_5", "the effective tax rate of 2003 is 36.6% ( 36.6 % ) ; the effective tax rate of 2002 is 42.1% ( 42.1 % ) ; the effective tax rate of 2001 is 37.1% ( 37.1 % ) ;"]]}, "answers": ["-5.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000447", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "2078.", "rejected": "966.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december <TIME>?", "doc_prefix": "GS", "base_question": "what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december <TIME>?", "original_question": "what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"966": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "2078": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "GS/2013/page_91.pdf-4", "qa": {"question": "what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december 2013?", "answer": "2078", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2989", "arg2": "911", "res": "2078"}], "program": "subtract(2989, 911)", "gold_inds": {"table_1": "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ;", "table_2": "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ;"}, "exe_ans": 2078.0, "tfidftopn": {"text_6": "in millions 2013 2012 additional collateral or termination payments for a one-notch downgrade $ 911 $ 1534 additional collateral or termination payments for a two-notch downgrade 2989 2500 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "subtract(2989, 911)", "model_input": [["table_1", "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ;"], ["table_2", "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ;"], ["text_8", "cash flow analysis may , however , be helpful in highlighting certain macro trends and strategic initiatives in our businesses ."]]}, "answers": ["2078"]}, "rejected_source": {"id": "GS/2013/page_91.pdf-3", "qa": {"question": "what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december 2012?", "answer": "966", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2500", "arg2": "1534", "res": "966"}], "program": "subtract(2500, 1534)", "gold_inds": {"table_1": "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ;", "table_2": "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ;"}, "exe_ans": 966.0, "tfidftopn": {"text_6": "in millions 2013 2012 additional collateral or termination payments for a one-notch downgrade $ 911 $ 1534 additional collateral or termination payments for a two-notch downgrade 2989 2500 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "subtract(2500, 1534)", "model_input": [["table_1", "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ;"], ["table_2", "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ;"], ["text_8", "cash flow analysis may , however , be helpful in highlighting certain macro trends and strategic initiatives in our businesses ."]]}, "answers": ["966"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000448", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "966.", "rejected": "2078.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december <TIME>?", "doc_prefix": "GS", "base_question": "what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december <TIME>?", "original_question": "what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"966": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "2078": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "GS/2013/page_91.pdf-3", "qa": {"question": "what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december 2012?", "answer": "966", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2500", "arg2": "1534", "res": "966"}], "program": "subtract(2500, 1534)", "gold_inds": {"table_1": "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ;", "table_2": "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ;"}, "exe_ans": 966.0, "tfidftopn": {"text_6": "in millions 2013 2012 additional collateral or termination payments for a one-notch downgrade $ 911 $ 1534 additional collateral or termination payments for a two-notch downgrade 2989 2500 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "subtract(2500, 1534)", "model_input": [["table_1", "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ;"], ["table_2", "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ;"], ["text_8", "cash flow analysis may , however , be helpful in highlighting certain macro trends and strategic initiatives in our businesses ."]]}, "answers": ["966"]}, "rejected_source": {"id": "GS/2013/page_91.pdf-4", "qa": {"question": "what is the difference in millions , between additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade at the end of december 2013?", "answer": "2078", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2989", "arg2": "911", "res": "2078"}], "program": "subtract(2989, 911)", "gold_inds": {"table_1": "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ;", "table_2": "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ;"}, "exe_ans": 2078.0, "tfidftopn": {"text_6": "in millions 2013 2012 additional collateral or termination payments for a one-notch downgrade $ 911 $ 1534 additional collateral or termination payments for a two-notch downgrade 2989 2500 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "subtract(2989, 911)", "model_input": [["table_1", "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ;"], ["table_2", "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ;"], ["text_8", "cash flow analysis may , however , be helpful in highlighting certain macro trends and strategic initiatives in our businesses ."]]}, "answers": ["2078"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000449", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-51.3%.", "rejected": "5.40%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , <TIME>?", "doc_prefix": "PM", "base_question": "what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , <TIME>?", "original_question": "what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.40%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-51.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "PM/2017/page_25.pdf-3", "qa": {"question": "what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , 2017?", "answer": "-51.3%", "explanation": "", "ann_table_rows": [1, 2, 3, 4, 5, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "156.80", "arg2": "const_100", "res": "56.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "56.8%"}, {"op": "minus2-3", "arg1": "208.10", "arg2": "const_100", "res": "108.1"}, {"op": "divide2-4", "arg1": "#2", "arg2": "const_100", "res": "108.1%"}, {"op": "minus2-5", "arg1": "#1", "arg2": "#3", "res": "-51.3%"}], "program": "subtract(156.80, const_100), divide(#0, const_100), subtract(208.10, const_100), divide(#2, const_100), subtract(#1, #3)", "gold_inds": {"table_1": "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;", "table_2": "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;", "table_3": "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;", "table_4": "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;", "table_5": "date the december 31 2016 of pmi is $ 130.80 ; the december 31 2016 of pmi peer group ( 1 ) is $ 145.60 ; the december 31 2016 of s&p 500 index is $ 170.80 ;", "table_6": "date the december 31 2017 of pmi is $ 156.80 ; the december 31 2017 of pmi peer group ( 1 ) is $ 172.70 ; the december 31 2017 of s&p 500 index is $ 208.10 ;"}, "exe_ans": -0.513, "tfidftopn": {}, "program_re": "subtract(divide(subtract(156.80, const_100), const_100), divide(subtract(208.10, const_100), const_100))", "model_input": [["table_1", "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;"], ["table_2", "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;"], ["table_3", "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;"], ["table_4", "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;"], ["table_5", "date the december 31 2016 of pmi is $ 130.80 ; the december 31 2016 of pmi peer group ( 1 ) is $ 145.60 ; the december 31 2016 of s&p 500 index is $ 170.80 ;"], ["table_6", "date the december 31 2017 of pmi is $ 156.80 ; the december 31 2017 of pmi peer group ( 1 ) is $ 172.70 ; the december 31 2017 of s&p 500 index is $ 208.10 ;"]]}, "answers": ["-51.3%"]}, "rejected_source": {"id": "PM/2015/page_32.pdf-2", "qa": {"question": "what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , 2015?", "answer": "5.40%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "186.20", "arg2": "const_100", "res": "86.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "86.2%"}, {"op": "minus2-3", "arg1": "180.80", "arg2": "const_100", "res": "80.8"}, {"op": "divide2-4", "arg1": "#2", "arg2": "const_100", "res": "80.8%"}, {"op": "minus2-5", "arg1": "#1", "arg2": "#3", "res": "5.40%"}], "program": "subtract(186.20, const_100), divide(#0, const_100), subtract(180.80, const_100), divide(#2, const_100), subtract(#1, #3)", "gold_inds": {"table_1": "date the december 31 2010 of pmi is $ 100.00 ; the december 31 2010 of pmi compensation survey group ( 12 ) is $ 100.00 ; the december 31 2010 of s&p 500 index is $ 100.00 ;", "table_6": "date the december 31 2015 of pmi is $ 186.20 ; the december 31 2015 of pmi compensation survey group ( 12 ) is $ 179.20 ; the december 31 2015 of s&p 500 index is $ 180.80 ;"}, "exe_ans": 0.054, "tfidftopn": {"text_0": "performance graph the graph below compares the cumulative total shareholder return on pmi's common stock with the cumulative total return for the same period of pmi's compensation survey group and the s&p 500 index ."}, "program_re": "subtract(divide(subtract(186.20, const_100), const_100), divide(subtract(180.80, const_100), const_100))", "model_input": [["table_1", "date the december 31 2010 of pmi is $ 100.00 ; the december 31 2010 of pmi compensation survey group ( 12 ) is $ 100.00 ; the december 31 2010 of s&p 500 index is $ 100.00 ;"], ["table_3", "date the december 31 2012 of pmi is $ 154.60 ; the december 31 2012 of pmi compensation survey group ( 12 ) is $ 128.00 ; the december 31 2012 of s&p 500 index is $ 118.50 ;"], ["table_6", "date the december 31 2015 of pmi is $ 186.20 ; the december 31 2015 of pmi compensation survey group ( 12 ) is $ 179.20 ; the december 31 2015 of s&p 500 index is $ 180.80 ;"]]}, "answers": ["5.40%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000450", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "5.40%.", "rejected": "-51.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , <TIME>?", "doc_prefix": "PM", "base_question": "what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , <TIME>?", "original_question": "what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.40%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-51.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "PM/2015/page_32.pdf-2", "qa": {"question": "what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , 2015?", "answer": "5.40%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "186.20", "arg2": "const_100", "res": "86.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "86.2%"}, {"op": "minus2-3", "arg1": "180.80", "arg2": "const_100", "res": "80.8"}, {"op": "divide2-4", "arg1": "#2", "arg2": "const_100", "res": "80.8%"}, {"op": "minus2-5", "arg1": "#1", "arg2": "#3", "res": "5.40%"}], "program": "subtract(186.20, const_100), divide(#0, const_100), subtract(180.80, const_100), divide(#2, const_100), subtract(#1, #3)", "gold_inds": {"table_1": "date the december 31 2010 of pmi is $ 100.00 ; the december 31 2010 of pmi compensation survey group ( 12 ) is $ 100.00 ; the december 31 2010 of s&p 500 index is $ 100.00 ;", "table_6": "date the december 31 2015 of pmi is $ 186.20 ; the december 31 2015 of pmi compensation survey group ( 12 ) is $ 179.20 ; the december 31 2015 of s&p 500 index is $ 180.80 ;"}, "exe_ans": 0.054, "tfidftopn": {"text_0": "performance graph the graph below compares the cumulative total shareholder return on pmi's common stock with the cumulative total return for the same period of pmi's compensation survey group and the s&p 500 index ."}, "program_re": "subtract(divide(subtract(186.20, const_100), const_100), divide(subtract(180.80, const_100), const_100))", "model_input": [["table_1", "date the december 31 2010 of pmi is $ 100.00 ; the december 31 2010 of pmi compensation survey group ( 12 ) is $ 100.00 ; the december 31 2010 of s&p 500 index is $ 100.00 ;"], ["table_3", "date the december 31 2012 of pmi is $ 154.60 ; the december 31 2012 of pmi compensation survey group ( 12 ) is $ 128.00 ; the december 31 2012 of s&p 500 index is $ 118.50 ;"], ["table_6", "date the december 31 2015 of pmi is $ 186.20 ; the december 31 2015 of pmi compensation survey group ( 12 ) is $ 179.20 ; the december 31 2015 of s&p 500 index is $ 180.80 ;"]]}, "answers": ["5.40%"]}, "rejected_source": {"id": "PM/2017/page_25.pdf-3", "qa": {"question": "what was the difference in percentage cumulative total shareholder return on pmi's common stock versus the s&p 500 index for the five years ended december 31 , 2017?", "answer": "-51.3%", "explanation": "", "ann_table_rows": [1, 2, 3, 4, 5, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "156.80", "arg2": "const_100", "res": "56.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "56.8%"}, {"op": "minus2-3", "arg1": "208.10", "arg2": "const_100", "res": "108.1"}, {"op": "divide2-4", "arg1": "#2", "arg2": "const_100", "res": "108.1%"}, {"op": "minus2-5", "arg1": "#1", "arg2": "#3", "res": "-51.3%"}], "program": "subtract(156.80, const_100), divide(#0, const_100), subtract(208.10, const_100), divide(#2, const_100), subtract(#1, #3)", "gold_inds": {"table_1": "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;", "table_2": "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;", "table_3": "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;", "table_4": "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;", "table_5": "date the december 31 2016 of pmi is $ 130.80 ; the december 31 2016 of pmi peer group ( 1 ) is $ 145.60 ; the december 31 2016 of s&p 500 index is $ 170.80 ;", "table_6": "date the december 31 2017 of pmi is $ 156.80 ; the december 31 2017 of pmi peer group ( 1 ) is $ 172.70 ; the december 31 2017 of s&p 500 index is $ 208.10 ;"}, "exe_ans": -0.513, "tfidftopn": {}, "program_re": "subtract(divide(subtract(156.80, const_100), const_100), divide(subtract(208.10, const_100), const_100))", "model_input": [["table_1", "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;"], ["table_2", "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;"], ["table_3", "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;"], ["table_4", "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;"], ["table_5", "date the december 31 2016 of pmi is $ 130.80 ; the december 31 2016 of pmi peer group ( 1 ) is $ 145.60 ; the december 31 2016 of s&p 500 index is $ 170.80 ;"], ["table_6", "date the december 31 2017 of pmi is $ 156.80 ; the december 31 2017 of pmi peer group ( 1 ) is $ 172.70 ; the december 31 2017 of s&p 500 index is $ 208.10 ;"]]}, "answers": ["-51.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000451", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what will be the rate of return for global payments from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "-5.8%.", "rejected": "37.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what will be the rate of return for global payments <TIME>?", "doc_prefix": "GPN", "base_question": "what will be the rate of return for global payments <TIME>?", "original_question": "what will be the rate of return for global payments from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5.8%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "37.8%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}]}, "chosen_source": {"id": "GPN/2007/page_39.pdf-1", "qa": {"question": "what will be the rate of return for global payments from 2002 to 2003?", "answer": "-5.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "94.20", "arg2": "const_100", "res": "-5.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "-5.8%"}], "program": "subtract(94.20, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the may 31 2002 of global payments is $ 100.00 ; the may 31 2002 of s&p 500 is $ 100.00 ; the may 31 2002 of s&p information technology is $ 100.00 ;", "table_2": "the may 31 2003 of global payments is 94.20 ; the may 31 2003 of s&p 500 is 91.94 ; the may 31 2003 of s&p information technology is 94.48 ;"}, "exe_ans": -0.058, "tfidftopn": {"text_2": "comparison of 5 year cumulative total return* among global payments inc. , the s&p 500 index and the s&p information technology index 5/02 5/03 5/04 5/05 5/06 5/07 global payments inc ."}, "program_re": "divide(subtract(94.20, const_100), const_100)", "model_input": [["text_2", "comparison of 5 year cumulative total return* among global payments inc. , the s&p 500 index and the s&p information technology index 5/02 5/03 5/04 5/05 5/06 5/07 global payments inc ."], ["table_1", "the may 31 2002 of global payments is $ 100.00 ; the may 31 2002 of s&p 500 is $ 100.00 ; the may 31 2002 of s&p information technology is $ 100.00 ;"], ["table_2", "the may 31 2003 of global payments is 94.20 ; the may 31 2003 of s&p 500 is 91.94 ; the may 31 2003 of s&p information technology is 94.48 ;"]]}, "answers": ["-5.8%"]}, "rejected_source": {"id": "GPN/2007/page_39.pdf-2", "qa": {"question": "what will be the rate of return for global payments from 2003 to 2004?", "answer": "37.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2, 3], "steps": [{"op": "minus2-1", "arg1": "129.77", "arg2": "94.20", "res": "35.57"}, {"op": "divide2-2", "arg1": "#0", "arg2": "94.20", "res": "37.8%"}], "program": "subtract(129.77, 94.20), divide(#0, 94.20)", "gold_inds": {"text_2": "comparison of 5 year cumulative total return* among global payments inc. , the s&p 500 index and the s&p information technology index 5/02 5/03 5/04 5/05 5/06 5/07 global payments inc .", "text_3": "s&p 500 s&p information technology * $ 100 invested on 5/31/02 in stock or index-including reinvestment of dividends .", "table_3": "the may 31 2004 of global payments is 129.77 ; the may 31 2004 of s&p 500 is 108.79 ; the may 31 2004 of s&p information technology is 115.24 ;", "table_2": "the may 31 2003 of global payments is 94.20 ; the may 31 2003 of s&p 500 is 91.94 ; the may 31 2003 of s&p information technology is 94.48 ;"}, "exe_ans": 0.3776, "tfidftopn": {}, "program_re": "divide(subtract(129.77, 94.20), 94.20)", "model_input": [["text_2", "comparison of 5 year cumulative total return* among global payments inc. , the s&p 500 index and the s&p information technology index 5/02 5/03 5/04 5/05 5/06 5/07 global payments inc ."], ["text_3", "s&p 500 s&p information technology * $ 100 invested on 5/31/02 in stock or index-including reinvestment of dividends ."], ["table_2", "the may 31 2003 of global payments is 94.20 ; the may 31 2003 of s&p 500 is 91.94 ; the may 31 2003 of s&p information technology is 94.48 ;"], ["table_3", "the may 31 2004 of global payments is 129.77 ; the may 31 2004 of s&p 500 is 108.79 ; the may 31 2004 of s&p information technology is 115.24 ;"]]}, "answers": ["37.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000452", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what will be the rate of return for global payments from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "37.8%.", "rejected": "-5.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what will be the rate of return for global payments <TIME>?", "doc_prefix": "GPN", "base_question": "what will be the rate of return for global payments <TIME>?", "original_question": "what will be the rate of return for global payments from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5.8%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "37.8%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}]}, "chosen_source": {"id": "GPN/2007/page_39.pdf-2", "qa": {"question": "what will be the rate of return for global payments from 2003 to 2004?", "answer": "37.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2, 3], "steps": [{"op": "minus2-1", "arg1": "129.77", "arg2": "94.20", "res": "35.57"}, {"op": "divide2-2", "arg1": "#0", "arg2": "94.20", "res": "37.8%"}], "program": "subtract(129.77, 94.20), divide(#0, 94.20)", "gold_inds": {"text_2": "comparison of 5 year cumulative total return* among global payments inc. , the s&p 500 index and the s&p information technology index 5/02 5/03 5/04 5/05 5/06 5/07 global payments inc .", "text_3": "s&p 500 s&p information technology * $ 100 invested on 5/31/02 in stock or index-including reinvestment of dividends .", "table_3": "the may 31 2004 of global payments is 129.77 ; the may 31 2004 of s&p 500 is 108.79 ; the may 31 2004 of s&p information technology is 115.24 ;", "table_2": "the may 31 2003 of global payments is 94.20 ; the may 31 2003 of s&p 500 is 91.94 ; the may 31 2003 of s&p information technology is 94.48 ;"}, "exe_ans": 0.3776, "tfidftopn": {}, "program_re": "divide(subtract(129.77, 94.20), 94.20)", "model_input": [["text_2", "comparison of 5 year cumulative total return* among global payments inc. , the s&p 500 index and the s&p information technology index 5/02 5/03 5/04 5/05 5/06 5/07 global payments inc ."], ["text_3", "s&p 500 s&p information technology * $ 100 invested on 5/31/02 in stock or index-including reinvestment of dividends ."], ["table_2", "the may 31 2003 of global payments is 94.20 ; the may 31 2003 of s&p 500 is 91.94 ; the may 31 2003 of s&p information technology is 94.48 ;"], ["table_3", "the may 31 2004 of global payments is 129.77 ; the may 31 2004 of s&p 500 is 108.79 ; the may 31 2004 of s&p information technology is 115.24 ;"]]}, "answers": ["37.8%"]}, "rejected_source": {"id": "GPN/2007/page_39.pdf-1", "qa": {"question": "what will be the rate of return for global payments from 2002 to 2003?", "answer": "-5.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "94.20", "arg2": "const_100", "res": "-5.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "-5.8%"}], "program": "subtract(94.20, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the may 31 2002 of global payments is $ 100.00 ; the may 31 2002 of s&p 500 is $ 100.00 ; the may 31 2002 of s&p information technology is $ 100.00 ;", "table_2": "the may 31 2003 of global payments is 94.20 ; the may 31 2003 of s&p 500 is 91.94 ; the may 31 2003 of s&p information technology is 94.48 ;"}, "exe_ans": -0.058, "tfidftopn": {"text_2": "comparison of 5 year cumulative total return* among global payments inc. , the s&p 500 index and the s&p information technology index 5/02 5/03 5/04 5/05 5/06 5/07 global payments inc ."}, "program_re": "divide(subtract(94.20, const_100), const_100)", "model_input": [["text_2", "comparison of 5 year cumulative total return* among global payments inc. , the s&p 500 index and the s&p information technology index 5/02 5/03 5/04 5/05 5/06 5/07 global payments inc ."], ["table_1", "the may 31 2002 of global payments is $ 100.00 ; the may 31 2002 of s&p 500 is $ 100.00 ; the may 31 2002 of s&p information technology is $ 100.00 ;"], ["table_2", "the may 31 2003 of global payments is 94.20 ; the may 31 2003 of s&p 500 is 91.94 ; the may 31 2003 of s&p information technology is 94.48 ;"]]}, "answers": ["-5.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000453", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the liability for interest and penalties as of december 31 , 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "0.", "rejected": "1.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HII || what is the liability for interest and penalties as of december 31 , <TIME>?", "doc_prefix": "HII", "base_question": "what is the liability for interest and penalties as of december 31 , <TIME>?", "original_question": "what is the liability for interest and penalties as of december 31 , 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "0": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "HII/2018/page_103.pdf-2", "qa": {"question": "what is the liability for interest and penalties as of december 31 , 2017?", "answer": "0", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 3], "steps": [{"op": "minus2-1", "arg1": "1", "arg2": "1", "res": "0"}], "program": "subtract(1, 1)", "gold_inds": {"text_1": "in 2017 , there was a net decrease in income tax expense of $ 1 million for interest and penalties , resulting in no material liability for interest and penalties as of december 31 , 2017 .", "text_3": "in 2016 , there was a net decrease in income tax expense of $ 2 million for interest and penalties , resulting in a total liability of $ 1 million for interest and penalties as of december 31 , 2016 ."}, "exe_ans": 0.0, "tfidftopn": {"text_0": "and penalties , resulting in a liability of $ 1 million for interest and penalties as of december 31 , 2018 ."}, "program_re": "subtract(1, 1)", "model_input": [["text_0", "and penalties , resulting in a liability of $ 1 million for interest and penalties as of december 31 , 2018 ."], ["text_1", "in 2017 , there was a net decrease in income tax expense of $ 1 million for interest and penalties , resulting in no material liability for interest and penalties as of december 31 , 2017 ."], ["text_3", "in 2016 , there was a net decrease in income tax expense of $ 2 million for interest and penalties , resulting in a total liability of $ 1 million for interest and penalties as of december 31 , 2016 ."]]}, "answers": ["0"]}, "rejected_source": {"id": "HII/2018/page_103.pdf-1", "qa": {"question": "what is the liability for interest and penalties as of december 31 , 2016?", "answer": "1", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "add1-1", "arg1": "1", "arg2": "2", "res": "3"}, {"op": "minus1-2", "arg1": "#0", "arg2": "2", "res": "1"}], "program": "add(1, 2), subtract(#0, 2)", "gold_inds": {"text_3": "in 2016 , there was a net decrease in income tax expense of $ 2 million for interest and penalties , resulting in a total liability of $ 1 million for interest and penalties as of december 31 , 2016 ."}, "exe_ans": 1.0, "tfidftopn": {"text_0": "and penalties , resulting in a liability of $ 1 million for interest and penalties as of december 31 , 2018 .", "text_1": "in 2017 , there was a net decrease in income tax expense of $ 1 million for interest and penalties , resulting in no material liability for interest and penalties as of december 31 , 2017 ."}, "program_re": "subtract(add(1, 2), 2)", "model_input": [["text_0", "and penalties , resulting in a liability of $ 1 million for interest and penalties as of december 31 , 2018 ."], ["text_1", "in 2017 , there was a net decrease in income tax expense of $ 1 million for interest and penalties , resulting in no material liability for interest and penalties as of december 31 , 2017 ."], ["text_3", "in 2016 , there was a net decrease in income tax expense of $ 2 million for interest and penalties , resulting in a total liability of $ 1 million for interest and penalties as of december 31 , 2016 ."]]}, "answers": ["1"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000454", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the liability for interest and penalties as of december 31 , 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1.", "rejected": "0.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HII || what is the liability for interest and penalties as of december 31 , <TIME>?", "doc_prefix": "HII", "base_question": "what is the liability for interest and penalties as of december 31 , <TIME>?", "original_question": "what is the liability for interest and penalties as of december 31 , 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "0": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "HII/2018/page_103.pdf-1", "qa": {"question": "what is the liability for interest and penalties as of december 31 , 2016?", "answer": "1", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "add1-1", "arg1": "1", "arg2": "2", "res": "3"}, {"op": "minus1-2", "arg1": "#0", "arg2": "2", "res": "1"}], "program": "add(1, 2), subtract(#0, 2)", "gold_inds": {"text_3": "in 2016 , there was a net decrease in income tax expense of $ 2 million for interest and penalties , resulting in a total liability of $ 1 million for interest and penalties as of december 31 , 2016 ."}, "exe_ans": 1.0, "tfidftopn": {"text_0": "and penalties , resulting in a liability of $ 1 million for interest and penalties as of december 31 , 2018 .", "text_1": "in 2017 , there was a net decrease in income tax expense of $ 1 million for interest and penalties , resulting in no material liability for interest and penalties as of december 31 , 2017 ."}, "program_re": "subtract(add(1, 2), 2)", "model_input": [["text_0", "and penalties , resulting in a liability of $ 1 million for interest and penalties as of december 31 , 2018 ."], ["text_1", "in 2017 , there was a net decrease in income tax expense of $ 1 million for interest and penalties , resulting in no material liability for interest and penalties as of december 31 , 2017 ."], ["text_3", "in 2016 , there was a net decrease in income tax expense of $ 2 million for interest and penalties , resulting in a total liability of $ 1 million for interest and penalties as of december 31 , 2016 ."]]}, "answers": ["1"]}, "rejected_source": {"id": "HII/2018/page_103.pdf-2", "qa": {"question": "what is the liability for interest and penalties as of december 31 , 2017?", "answer": "0", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1, 3], "steps": [{"op": "minus2-1", "arg1": "1", "arg2": "1", "res": "0"}], "program": "subtract(1, 1)", "gold_inds": {"text_1": "in 2017 , there was a net decrease in income tax expense of $ 1 million for interest and penalties , resulting in no material liability for interest and penalties as of december 31 , 2017 .", "text_3": "in 2016 , there was a net decrease in income tax expense of $ 2 million for interest and penalties , resulting in a total liability of $ 1 million for interest and penalties as of december 31 , 2016 ."}, "exe_ans": 0.0, "tfidftopn": {"text_0": "and penalties , resulting in a liability of $ 1 million for interest and penalties as of december 31 , 2018 ."}, "program_re": "subtract(1, 1)", "model_input": [["text_0", "and penalties , resulting in a liability of $ 1 million for interest and penalties as of december 31 , 2018 ."], ["text_1", "in 2017 , there was a net decrease in income tax expense of $ 1 million for interest and penalties , resulting in no material liability for interest and penalties as of december 31 , 2017 ."], ["text_3", "in 2016 , there was a net decrease in income tax expense of $ 2 million for interest and penalties , resulting in a total liability of $ 1 million for interest and penalties as of december 31 , 2016 ."]]}, "answers": ["0"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000455", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue from 2010 to 2011\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "15.1%.", "rejected": "2.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue from 2010 to 2011", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2010 to 2011", "answer": "15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["15.1%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2016 to 2017", "answer": "2.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.3%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"}, "exe_ans": 0.0225, "tfidftopn": {"text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000456", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue from 2010 to 2011\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "15.1%.", "rejected": "2.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue from 2010 to 2011", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2010 to 2011", "answer": "15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["15.1%"]}, "rejected_source": {"id": "ETR/2011/page_273.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue in 2011", "answer": "2.9%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1252.3", "arg2": "1216.7", "res": "35.6"}], "program": "subtract(1252.3, 1216.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;", "table_9": "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"}, "exe_ans": 35.6, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "subtract(1252.3, 1216.7)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -11.9 ( 11.9 ) ;"], ["table_9", "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"]]}, "answers": ["2.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000457", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue from 2010 to 2011\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "15.1%.", "rejected": "3.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue from 2010 to 2011", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2011/page_316.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2010 to 2011", "answer": "15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["15.1%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2013 to 2014", "answer": "3.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.8%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000458", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue from 2016 to 2017\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.3%.", "rejected": "15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue from 2016 to 2017", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2016 to 2017", "answer": "2.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.3%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"}, "exe_ans": 0.0225, "tfidftopn": {"text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.3%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2010 to 2011", "answer": "15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000459", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue from 2016 to 2017\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.3%.", "rejected": "2.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue from 2016 to 2017", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2016 to 2017", "answer": "2.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.3%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"}, "exe_ans": 0.0225, "tfidftopn": {"text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.3%"]}, "rejected_source": {"id": "ETR/2011/page_273.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue in 2011", "answer": "2.9%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1252.3", "arg2": "1216.7", "res": "35.6"}], "program": "subtract(1252.3, 1216.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;", "table_9": "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"}, "exe_ans": 35.6, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "subtract(1252.3, 1216.7)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -11.9 ( 11.9 ) ;"], ["table_9", "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"]]}, "answers": ["2.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000460", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue from 2016 to 2017\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.3%.", "rejected": "3.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue from 2016 to 2017", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_19.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2016 to 2017", "answer": "2.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.3%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"}, "exe_ans": 0.0225, "tfidftopn": {"text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.3%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2013 to 2014", "answer": "3.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.8%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000461", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue in 2011\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "2.9%.", "rejected": "15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue in 2011", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2011/page_273.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue in 2011", "answer": "2.9%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1252.3", "arg2": "1216.7", "res": "35.6"}], "program": "subtract(1252.3, 1216.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;", "table_9": "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"}, "exe_ans": 35.6, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "subtract(1252.3, 1216.7)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -11.9 ( 11.9 ) ;"], ["table_9", "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"]]}, "answers": ["2.9%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2010 to 2011", "answer": "15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000462", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue in 2011\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "2.9%.", "rejected": "2.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue in 2011", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2011/page_273.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue in 2011", "answer": "2.9%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1252.3", "arg2": "1216.7", "res": "35.6"}], "program": "subtract(1252.3, 1216.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;", "table_9": "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"}, "exe_ans": 35.6, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "subtract(1252.3, 1216.7)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -11.9 ( 11.9 ) ;"], ["table_9", "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"]]}, "answers": ["2.9%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2016 to 2017", "answer": "2.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.3%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"}, "exe_ans": 0.0225, "tfidftopn": {"text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000463", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue in 2011\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "2.9%.", "rejected": "3.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue in 2011", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2011/page_273.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue in 2011", "answer": "2.9%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1252.3", "arg2": "1216.7", "res": "35.6"}], "program": "subtract(1252.3, 1216.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;", "table_9": "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"}, "exe_ans": 35.6, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "subtract(1252.3, 1216.7)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -11.9 ( 11.9 ) ;"], ["table_9", "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"]]}, "answers": ["2.9%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2013 to 2014", "answer": "3.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.8%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000464", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue from 2013 to 2014\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.8%.", "rejected": "15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue from 2013 to 2014", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2013 to 2014", "answer": "3.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.8%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.8%"]}, "rejected_source": {"id": "ETR/2011/page_316.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2010 to 2011", "answer": "15.1%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "886.2", "arg2": "1043.7", "res": "-157.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1043.7", "res": "15.1%"}], "program": "subtract(886.2, 1043.7), divide(#0, 1043.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;", "table_6": "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"}, "exe_ans": -0.15091, "tfidftopn": {"text_6": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "divide(subtract(886.2, 1043.7), 1043.7)", "model_input": [["text_7", "amount ( in millions ) ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1043.7 ;"], ["table_6", "the 2011 net revenue of amount ( in millions ) is $ 886.2 ;"]]}, "answers": ["15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000465", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue from 2013 to 2014\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.8%.", "rejected": "2.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue from 2013 to 2014", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2013 to 2014", "answer": "3.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.8%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.8%"]}, "rejected_source": {"id": "ETR/2017/page_19.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2016 to 2017", "answer": "2.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6318", "arg2": "6179", "res": "139"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6179", "res": "2.3%"}], "program": "subtract(6318, 6179), divide(#0, 6179)", "gold_inds": {"table_1": "the 2016 net revenue of amount ( in millions ) is $ 6179 ;", "table_8": "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"}, "exe_ans": 0.0225, "tfidftopn": {"text_2": "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."}, "program_re": "divide(subtract(6318, 6179), 6179)", "model_input": [["text_2", "net revenue utility following is an analysis of the change in net revenue comparing 2017 to 2016 ."], ["table_1", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"], ["table_8", "the 2017 net revenue of amount ( in millions ) is $ 6318 ;"]]}, "answers": ["2.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000466", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the change in the net revenue from 2013 to 2014\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "3.8%.", "rejected": "2.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the percent of the change in the net revenue <TIME>", "doc_prefix": "ETR", "base_question": "what was the percent of the change in the net revenue <TIME>", "original_question": "what was the percent of the change in the net revenue from 2013 to 2014", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "3.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "2.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue from 2013 to 2014", "answer": "3.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5735", "arg2": "5524", "res": "211"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5524", "res": "3.8%"}], "program": "subtract(5735, 5524), divide(#0, 5524)", "gold_inds": {"table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;", "table_8": "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"}, "exe_ans": 0.0382, "tfidftopn": {"text_0": "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."}, "program_re": "divide(subtract(5735, 5524), 5524)", "model_input": [["text_0", "entergy corporation and subsidiaries management 2019s financial discussion and analysis net revenue utility following is an analysis of the change in net revenue comparing 2014 to 2013 ."], ["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["3.8%"]}, "rejected_source": {"id": "ETR/2011/page_273.pdf-1", "qa": {"question": "what was the percent of the change in the net revenue in 2011", "answer": "2.9%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1252.3", "arg2": "1216.7", "res": "35.6"}], "program": "subtract(1252.3, 1216.7)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;", "table_9": "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"}, "exe_ans": 35.6, "tfidftopn": {"text_5": "following is an analysis of the change in net revenue comparing 2011 to 2010 ."}, "program_re": "subtract(1252.3, 1216.7)", "model_input": [["table_1", "the 2010 net revenue of amount ( in millions ) is $ 1216.7 ;"], ["table_6", "the net wholesale revenue of amount ( in millions ) is -11.9 ( 11.9 ) ;"], ["table_9", "the 2011 net revenue of amount ( in millions ) is $ 1252.3 ;"]]}, "answers": ["2.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000467", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2016 what percentage of december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "12%.", "rejected": "4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of december 31 , <TIME> , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of december 31 , <TIME> , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?", "original_question": "in 2016 what percentage of december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "12%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "IP/2014/page_101.pdf-2", "qa": {"question": "in 2016 what percentage of december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?", "answer": "12%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "106", "arg2": "867", "res": "12%"}], "program": "divide(106, 867)", "gold_inds": {"table_1": "in millions the lease obligations of 2015 is $ 142 ; the lease obligations of 2016 is $ 106 ; the lease obligations of 2017 is $ 84 ; the lease obligations of 2018 is $ 63 ; the lease obligations of 2019 is $ 45 ; the lease obligations of thereafter is $ 91 ;", "table_3": "in millions the total of 2015 is $ 3408 ; the total of 2016 is $ 867 ; the total of 2017 is $ 667 ; the total of 2018 is $ 526 ; the total of 2019 is $ 467 ; the total of thereafter is $ 1781 ;"}, "exe_ans": 0.12226, "tfidftopn": {"text_0": "at december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations were as follows: ."}, "program_re": "divide(106, 867)", "model_input": [["table_1", "in millions the lease obligations of 2015 is $ 142 ; the lease obligations of 2016 is $ 106 ; the lease obligations of 2017 is $ 84 ; the lease obligations of 2018 is $ 63 ; the lease obligations of 2019 is $ 45 ; the lease obligations of thereafter is $ 91 ;"], ["table_2", "in millions the purchase obligations ( a ) of 2015 is 3266 ; the purchase obligations ( a ) of 2016 is 761 ; the purchase obligations ( a ) of 2017 is 583 ; the purchase obligations ( a ) of 2018 is 463 ; the purchase obligations ( a ) of 2019 is 422 ; the purchase obligations ( a ) of thereafter is 1690 ;"], ["table_3", "in millions the total of 2015 is $ 3408 ; the total of 2016 is $ 867 ; the total of 2017 is $ 667 ; the total of 2018 is $ 526 ; the total of 2019 is $ 467 ; the total of thereafter is $ 1781 ;"]]}, "answers": ["12%"]}, "rejected_source": {"id": "IP/2014/page_101.pdf-1", "qa": {"question": "in 2015 what percentage of december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?", "answer": "4%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "142", "arg2": "3408", "res": "4%"}], "program": "divide(142, 3408)", "gold_inds": {"table_1": "in millions the lease obligations of 2015 is $ 142 ; the lease obligations of 2016 is $ 106 ; the lease obligations of 2017 is $ 84 ; the lease obligations of 2018 is $ 63 ; the lease obligations of 2019 is $ 45 ; the lease obligations of thereafter is $ 91 ;", "table_3": "in millions the total of 2015 is $ 3408 ; the total of 2016 is $ 867 ; the total of 2017 is $ 667 ; the total of 2018 is $ 526 ; the total of 2019 is $ 467 ; the total of thereafter is $ 1781 ;"}, "exe_ans": 0.04167, "tfidftopn": {"text_0": "at december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations were as follows: ."}, "program_re": "divide(142, 3408)", "model_input": [["table_1", "in millions the lease obligations of 2015 is $ 142 ; the lease obligations of 2016 is $ 106 ; the lease obligations of 2017 is $ 84 ; the lease obligations of 2018 is $ 63 ; the lease obligations of 2019 is $ 45 ; the lease obligations of thereafter is $ 91 ;"], ["table_2", "in millions the purchase obligations ( a ) of 2015 is 3266 ; the purchase obligations ( a ) of 2016 is 761 ; the purchase obligations ( a ) of 2017 is 583 ; the purchase obligations ( a ) of 2018 is 463 ; the purchase obligations ( a ) of 2019 is 422 ; the purchase obligations ( a ) of thereafter is 1690 ;"], ["table_3", "in millions the total of 2015 is $ 3408 ; the total of 2016 is $ 867 ; the total of 2017 is $ 667 ; the total of 2018 is $ 526 ; the total of 2019 is $ 467 ; the total of thereafter is $ 1781 ;"]]}, "answers": ["4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000468", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2015 what percentage of december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "4%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of december 31 , <TIME> , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of december 31 , <TIME> , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?", "original_question": "in 2015 what percentage of december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "12%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "IP/2014/page_101.pdf-1", "qa": {"question": "in 2015 what percentage of december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?", "answer": "4%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "142", "arg2": "3408", "res": "4%"}], "program": "divide(142, 3408)", "gold_inds": {"table_1": "in millions the lease obligations of 2015 is $ 142 ; the lease obligations of 2016 is $ 106 ; the lease obligations of 2017 is $ 84 ; the lease obligations of 2018 is $ 63 ; the lease obligations of 2019 is $ 45 ; the lease obligations of thereafter is $ 91 ;", "table_3": "in millions the total of 2015 is $ 3408 ; the total of 2016 is $ 867 ; the total of 2017 is $ 667 ; the total of 2018 is $ 526 ; the total of 2019 is $ 467 ; the total of thereafter is $ 1781 ;"}, "exe_ans": 0.04167, "tfidftopn": {"text_0": "at december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations were as follows: ."}, "program_re": "divide(142, 3408)", "model_input": [["table_1", "in millions the lease obligations of 2015 is $ 142 ; the lease obligations of 2016 is $ 106 ; the lease obligations of 2017 is $ 84 ; the lease obligations of 2018 is $ 63 ; the lease obligations of 2019 is $ 45 ; the lease obligations of thereafter is $ 91 ;"], ["table_2", "in millions the purchase obligations ( a ) of 2015 is 3266 ; the purchase obligations ( a ) of 2016 is 761 ; the purchase obligations ( a ) of 2017 is 583 ; the purchase obligations ( a ) of 2018 is 463 ; the purchase obligations ( a ) of 2019 is 422 ; the purchase obligations ( a ) of thereafter is 1690 ;"], ["table_3", "in millions the total of 2015 is $ 3408 ; the total of 2016 is $ 867 ; the total of 2017 is $ 667 ; the total of 2018 is $ 526 ; the total of 2019 is $ 467 ; the total of thereafter is $ 1781 ;"]]}, "answers": ["4%"]}, "rejected_source": {"id": "IP/2014/page_101.pdf-2", "qa": {"question": "in 2016 what percentage of december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is represented by lease obligations?", "answer": "12%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "106", "arg2": "867", "res": "12%"}], "program": "divide(106, 867)", "gold_inds": {"table_1": "in millions the lease obligations of 2015 is $ 142 ; the lease obligations of 2016 is $ 106 ; the lease obligations of 2017 is $ 84 ; the lease obligations of 2018 is $ 63 ; the lease obligations of 2019 is $ 45 ; the lease obligations of thereafter is $ 91 ;", "table_3": "in millions the total of 2015 is $ 3408 ; the total of 2016 is $ 867 ; the total of 2017 is $ 667 ; the total of 2018 is $ 526 ; the total of 2019 is $ 467 ; the total of thereafter is $ 1781 ;"}, "exe_ans": 0.12226, "tfidftopn": {"text_0": "at december 31 , 2014 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations were as follows: ."}, "program_re": "divide(106, 867)", "model_input": [["table_1", "in millions the lease obligations of 2015 is $ 142 ; the lease obligations of 2016 is $ 106 ; the lease obligations of 2017 is $ 84 ; the lease obligations of 2018 is $ 63 ; the lease obligations of 2019 is $ 45 ; the lease obligations of thereafter is $ 91 ;"], ["table_2", "in millions the purchase obligations ( a ) of 2015 is 3266 ; the purchase obligations ( a ) of 2016 is 761 ; the purchase obligations ( a ) of 2017 is 583 ; the purchase obligations ( a ) of 2018 is 463 ; the purchase obligations ( a ) of 2019 is 422 ; the purchase obligations ( a ) of thereafter is 1690 ;"], ["table_3", "in millions the total of 2015 is $ 3408 ; the total of 2016 is $ 867 ; the total of 2017 is $ 667 ; the total of 2018 is $ 526 ; the total of 2019 is $ 467 ; the total of thereafter is $ 1781 ;"]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000469", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-403%.", "rejected": "2471%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2006/page_89.pdf-2", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n", "answer": "-403%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-133.9", "arg2": "33.2", "res": "-403%"}], "program": "divide(-133.9, 33.2)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;", "table_4": "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"}, "exe_ans": -4.03313, "tfidftopn": {"table_2": "( $ in millions ) The 2004 change of foreign currency translation is 68.2 ; The 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; The 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; The 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "program_re": "divide(-133.9, 33.2)", "model_input": [["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"], ["table_4", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_5", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"]]}, "answers": ["-403%"]}, "rejected_source": {"id": "BLL/2006/page_89.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n", "answer": "2471%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "34.6", "arg2": "1.4", "res": "2471%"}], "program": "divide(34.6, 1.4)", "gold_inds": {"table_1": "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;", "table_2": "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "exe_ans": 24.71429, "tfidftopn": {"text_14": "accumulated other comprehensive earnings ( loss ) the activity related to accumulated other comprehensive earnings ( loss ) was as follows : ( $ in millions ) foreign currency translation pension and postretirement items , net of tax effective financial derivatives , net of tax accumulated comprehensive earnings ( loss ) ."}, "program_re": "divide(34.6, 1.4)", "model_input": [["table_1", "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;"], ["table_2", "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"], ["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"]]}, "answers": ["2471%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000470", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-403%.", "rejected": "462%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2006/page_89.pdf-2", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n", "answer": "-403%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-133.9", "arg2": "33.2", "res": "-403%"}], "program": "divide(-133.9, 33.2)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;", "table_4": "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"}, "exe_ans": -4.03313, "tfidftopn": {"table_2": "( $ in millions ) The 2004 change of foreign currency translation is 68.2 ; The 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; The 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; The 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "program_re": "divide(-133.9, 33.2)", "model_input": [["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"], ["table_4", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_5", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"]]}, "answers": ["-403%"]}, "rejected_source": {"id": "BLL/2007/page_87.pdf-3", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n", "answer": "462%", "explanation": "", "ann_table_rows": [6, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "106.9", "arg2": "-29.5", "res": "136.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "29.5", "res": "462%"}], "program": "subtract(106.9, -29.5), divide(#0, 29.5)", "gold_inds": {"table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;", "table_8": "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"}, "exe_ans": 4.62373, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(106.9, -29.5), 29.5)", "model_input": [["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"], ["table_7", "( $ in millions ) the 2007 change of foreign currency translation is 90.0 ; the 2007 change of pension and other postretirement items net of tax is 57.9 ; the 2007 change of effective financial derivatives net of tax is -11.5 ( 11.5 ) ; the 2007 change of accumulated other comprehensive earnings ( loss ) is 136.4 ;"], ["table_8", "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"]]}, "answers": ["462%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000471", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-403%.", "rejected": "71%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2006/page_89.pdf-2", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n", "answer": "-403%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-133.9", "arg2": "33.2", "res": "-403%"}], "program": "divide(-133.9, 33.2)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;", "table_4": "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"}, "exe_ans": -4.03313, "tfidftopn": {"table_2": "( $ in millions ) The 2004 change of foreign currency translation is 68.2 ; The 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; The 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; The 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "program_re": "divide(-133.9, 33.2)", "model_input": [["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"], ["table_4", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_5", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"]]}, "answers": ["-403%"]}, "rejected_source": {"id": "BLL/2007/page_87.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n", "answer": "71%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-29.5", "arg2": "-100.7", "res": "71.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100.7", "res": "71%"}], "program": "subtract(-29.5, -100.7), divide(#0, 100.7)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;", "table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"}, "exe_ans": 0.70705, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(-29.5, -100.7), 100.7)", "model_input": [["table_2", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_3", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"], ["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"]]}, "answers": ["71%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000472", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2471%.", "rejected": "-403%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2006/page_89.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n", "answer": "2471%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "34.6", "arg2": "1.4", "res": "2471%"}], "program": "divide(34.6, 1.4)", "gold_inds": {"table_1": "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;", "table_2": "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "exe_ans": 24.71429, "tfidftopn": {"text_14": "accumulated other comprehensive earnings ( loss ) the activity related to accumulated other comprehensive earnings ( loss ) was as follows : ( $ in millions ) foreign currency translation pension and postretirement items , net of tax effective financial derivatives , net of tax accumulated comprehensive earnings ( loss ) ."}, "program_re": "divide(34.6, 1.4)", "model_input": [["table_1", "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;"], ["table_2", "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"], ["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"]]}, "answers": ["2471%"]}, "rejected_source": {"id": "BLL/2006/page_89.pdf-2", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n", "answer": "-403%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-133.9", "arg2": "33.2", "res": "-403%"}], "program": "divide(-133.9, 33.2)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;", "table_4": "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"}, "exe_ans": -4.03313, "tfidftopn": {"table_2": "( $ in millions ) The 2004 change of foreign currency translation is 68.2 ; The 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; The 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; The 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "program_re": "divide(-133.9, 33.2)", "model_input": [["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"], ["table_4", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_5", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"]]}, "answers": ["-403%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000473", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2471%.", "rejected": "462%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2006/page_89.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n", "answer": "2471%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "34.6", "arg2": "1.4", "res": "2471%"}], "program": "divide(34.6, 1.4)", "gold_inds": {"table_1": "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;", "table_2": "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "exe_ans": 24.71429, "tfidftopn": {"text_14": "accumulated other comprehensive earnings ( loss ) the activity related to accumulated other comprehensive earnings ( loss ) was as follows : ( $ in millions ) foreign currency translation pension and postretirement items , net of tax effective financial derivatives , net of tax accumulated comprehensive earnings ( loss ) ."}, "program_re": "divide(34.6, 1.4)", "model_input": [["table_1", "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;"], ["table_2", "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"], ["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"]]}, "answers": ["2471%"]}, "rejected_source": {"id": "BLL/2007/page_87.pdf-3", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n", "answer": "462%", "explanation": "", "ann_table_rows": [6, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "106.9", "arg2": "-29.5", "res": "136.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "29.5", "res": "462%"}], "program": "subtract(106.9, -29.5), divide(#0, 29.5)", "gold_inds": {"table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;", "table_8": "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"}, "exe_ans": 4.62373, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(106.9, -29.5), 29.5)", "model_input": [["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"], ["table_7", "( $ in millions ) the 2007 change of foreign currency translation is 90.0 ; the 2007 change of pension and other postretirement items net of tax is 57.9 ; the 2007 change of effective financial derivatives net of tax is -11.5 ( 11.5 ) ; the 2007 change of accumulated other comprehensive earnings ( loss ) is 136.4 ;"], ["table_8", "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"]]}, "answers": ["462%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000474", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "2471%.", "rejected": "71%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2006/page_89.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n", "answer": "2471%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "34.6", "arg2": "1.4", "res": "2471%"}], "program": "divide(34.6, 1.4)", "gold_inds": {"table_1": "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;", "table_2": "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "exe_ans": 24.71429, "tfidftopn": {"text_14": "accumulated other comprehensive earnings ( loss ) the activity related to accumulated other comprehensive earnings ( loss ) was as follows : ( $ in millions ) foreign currency translation pension and postretirement items , net of tax effective financial derivatives , net of tax accumulated comprehensive earnings ( loss ) ."}, "program_re": "divide(34.6, 1.4)", "model_input": [["table_1", "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;"], ["table_2", "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"], ["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"]]}, "answers": ["2471%"]}, "rejected_source": {"id": "BLL/2007/page_87.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n", "answer": "71%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-29.5", "arg2": "-100.7", "res": "71.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100.7", "res": "71%"}], "program": "subtract(-29.5, -100.7), divide(#0, 100.7)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;", "table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"}, "exe_ans": 0.70705, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(-29.5, -100.7), 100.7)", "model_input": [["table_2", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_3", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"], ["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"]]}, "answers": ["71%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000475", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "462%.", "rejected": "-403%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2007/page_87.pdf-3", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n", "answer": "462%", "explanation": "", "ann_table_rows": [6, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "106.9", "arg2": "-29.5", "res": "136.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "29.5", "res": "462%"}], "program": "subtract(106.9, -29.5), divide(#0, 29.5)", "gold_inds": {"table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;", "table_8": "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"}, "exe_ans": 4.62373, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(106.9, -29.5), 29.5)", "model_input": [["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"], ["table_7", "( $ in millions ) the 2007 change of foreign currency translation is 90.0 ; the 2007 change of pension and other postretirement items net of tax is 57.9 ; the 2007 change of effective financial derivatives net of tax is -11.5 ( 11.5 ) ; the 2007 change of accumulated other comprehensive earnings ( loss ) is 136.4 ;"], ["table_8", "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"]]}, "answers": ["462%"]}, "rejected_source": {"id": "BLL/2006/page_89.pdf-2", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n", "answer": "-403%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-133.9", "arg2": "33.2", "res": "-403%"}], "program": "divide(-133.9, 33.2)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;", "table_4": "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"}, "exe_ans": -4.03313, "tfidftopn": {"table_2": "( $ in millions ) The 2004 change of foreign currency translation is 68.2 ; The 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; The 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; The 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "program_re": "divide(-133.9, 33.2)", "model_input": [["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"], ["table_4", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_5", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"]]}, "answers": ["-403%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000476", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "462%.", "rejected": "2471%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2007/page_87.pdf-3", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n", "answer": "462%", "explanation": "", "ann_table_rows": [6, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "106.9", "arg2": "-29.5", "res": "136.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "29.5", "res": "462%"}], "program": "subtract(106.9, -29.5), divide(#0, 29.5)", "gold_inds": {"table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;", "table_8": "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"}, "exe_ans": 4.62373, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(106.9, -29.5), 29.5)", "model_input": [["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"], ["table_7", "( $ in millions ) the 2007 change of foreign currency translation is 90.0 ; the 2007 change of pension and other postretirement items net of tax is 57.9 ; the 2007 change of effective financial derivatives net of tax is -11.5 ( 11.5 ) ; the 2007 change of accumulated other comprehensive earnings ( loss ) is 136.4 ;"], ["table_8", "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"]]}, "answers": ["462%"]}, "rejected_source": {"id": "BLL/2006/page_89.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n", "answer": "2471%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "34.6", "arg2": "1.4", "res": "2471%"}], "program": "divide(34.6, 1.4)", "gold_inds": {"table_1": "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;", "table_2": "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "exe_ans": 24.71429, "tfidftopn": {"text_14": "accumulated other comprehensive earnings ( loss ) the activity related to accumulated other comprehensive earnings ( loss ) was as follows : ( $ in millions ) foreign currency translation pension and postretirement items , net of tax effective financial derivatives , net of tax accumulated comprehensive earnings ( loss ) ."}, "program_re": "divide(34.6, 1.4)", "model_input": [["table_1", "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;"], ["table_2", "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"], ["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"]]}, "answers": ["2471%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000477", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "462%.", "rejected": "71%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2007/page_87.pdf-3", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n", "answer": "462%", "explanation": "", "ann_table_rows": [6, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "106.9", "arg2": "-29.5", "res": "136.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "29.5", "res": "462%"}], "program": "subtract(106.9, -29.5), divide(#0, 29.5)", "gold_inds": {"table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;", "table_8": "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"}, "exe_ans": 4.62373, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(106.9, -29.5), 29.5)", "model_input": [["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"], ["table_7", "( $ in millions ) the 2007 change of foreign currency translation is 90.0 ; the 2007 change of pension and other postretirement items net of tax is 57.9 ; the 2007 change of effective financial derivatives net of tax is -11.5 ( 11.5 ) ; the 2007 change of accumulated other comprehensive earnings ( loss ) is 136.4 ;"], ["table_8", "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"]]}, "answers": ["462%"]}, "rejected_source": {"id": "BLL/2007/page_87.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n", "answer": "71%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-29.5", "arg2": "-100.7", "res": "71.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100.7", "res": "71%"}], "program": "subtract(-29.5, -100.7), divide(#0, 100.7)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;", "table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"}, "exe_ans": 0.70705, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(-29.5, -100.7), 100.7)", "model_input": [["table_2", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_3", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"], ["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"]]}, "answers": ["71%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000478", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "71%.", "rejected": "-403%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2007/page_87.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n", "answer": "71%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-29.5", "arg2": "-100.7", "res": "71.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100.7", "res": "71%"}], "program": "subtract(-29.5, -100.7), divide(#0, 100.7)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;", "table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"}, "exe_ans": 0.70705, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(-29.5, -100.7), 100.7)", "model_input": [["table_2", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_3", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"], ["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"]]}, "answers": ["71%"]}, "rejected_source": {"id": "BLL/2006/page_89.pdf-2", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2004 and 2005?\\\\n", "answer": "-403%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-133.9", "arg2": "33.2", "res": "-403%"}], "program": "divide(-133.9, 33.2)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;", "table_4": "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"}, "exe_ans": -4.03313, "tfidftopn": {"table_2": "( $ in millions ) The 2004 change of foreign currency translation is 68.2 ; The 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; The 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; The 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "program_re": "divide(-133.9, 33.2)", "model_input": [["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"], ["table_4", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_5", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"]]}, "answers": ["-403%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000479", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "71%.", "rejected": "2471%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2007/page_87.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n", "answer": "71%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-29.5", "arg2": "-100.7", "res": "71.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100.7", "res": "71%"}], "program": "subtract(-29.5, -100.7), divide(#0, 100.7)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;", "table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"}, "exe_ans": 0.70705, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(-29.5, -100.7), 100.7)", "model_input": [["table_2", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_3", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"], ["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"]]}, "answers": ["71%"]}, "rejected_source": {"id": "BLL/2006/page_89.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2003 and 2004?\\\\n", "answer": "2471%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "34.6", "arg2": "1.4", "res": "2471%"}], "program": "divide(34.6, 1.4)", "gold_inds": {"table_1": "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;", "table_2": "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"}, "exe_ans": 24.71429, "tfidftopn": {"text_14": "accumulated other comprehensive earnings ( loss ) the activity related to accumulated other comprehensive earnings ( loss ) was as follows : ( $ in millions ) foreign currency translation pension and postretirement items , net of tax effective financial derivatives , net of tax accumulated comprehensive earnings ( loss ) ."}, "program_re": "divide(34.6, 1.4)", "model_input": [["table_1", "( $ in millions ) the december 31 2003 of foreign currency translation is $ 80.7 ; the december 31 2003 of pension and other postretirement items net of tax is $ -93.1 ( 93.1 ) ; the december 31 2003 of effective financial derivatives net of tax is $ 11.0 ; the december 31 2003 of accumulated other comprehensive earnings ( loss ) is $ -1.4 ( 1.4 ) ;"], ["table_2", "( $ in millions ) the 2004 change of foreign currency translation is 68.2 ; the 2004 change of pension and other postretirement items net of tax is -33.2 ( 33.2 ) ; the 2004 change of effective financial derivatives net of tax is -0.4 ( 0.4 ) ; the 2004 change of accumulated other comprehensive earnings ( loss ) is 34.6 ;"], ["table_3", "( $ in millions ) the december 31 2004 of foreign currency translation is 148.9 ; the december 31 2004 of pension and other postretirement items net of tax is -126.3 ( 126.3 ) ; the december 31 2004 of effective financial derivatives net of tax is 10.6 ; the december 31 2004 of accumulated other comprehensive earnings ( loss ) is 33.2 ;"]]}, "answers": ["2471%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000480", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "71%.", "rejected": "462%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "doc_prefix": "BLL", "base_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) <TIME>?\\\\n", "original_question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2471%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "-403%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "71%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "462%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "BLL/2007/page_87.pdf-1", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2005 and 2006?\\\\n", "answer": "71%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-29.5", "arg2": "-100.7", "res": "71.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100.7", "res": "71%"}], "program": "subtract(-29.5, -100.7), divide(#0, 100.7)", "gold_inds": {"table_3": "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;", "table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"}, "exe_ans": 0.70705, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(-29.5, -100.7), 100.7)", "model_input": [["table_2", "( $ in millions ) the 2005 change of foreign currency translation is -74.3 ( 74.3 ) ; the 2005 change of pension and other postretirement items net of tax is -43.6 ( 43.6 ) ; the 2005 change of effective financial derivatives net of tax is -16.0 ( 16.0 ) ; the 2005 change of accumulated other comprehensive earnings ( loss ) is -133.9 ( 133.9 ) ;"], ["table_3", "( $ in millions ) the december 31 2005 of foreign currency translation is 74.6 ; the december 31 2005 of pension and other postretirement items net of tax is -169.9 ( 169.9 ) ; the december 31 2005 of effective financial derivatives net of tax is -5.4 ( 5.4 ) ; the december 31 2005 of accumulated other comprehensive earnings ( loss ) is -100.7 ( 100.7 ) ;"], ["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"]]}, "answers": ["71%"]}, "rejected_source": {"id": "BLL/2007/page_87.pdf-3", "qa": {"question": "what was the percentage change in accumulated other comprehensive earnings ( loss ) between 2006 and 2007?\\\\n", "answer": "462%", "explanation": "", "ann_table_rows": [6, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "106.9", "arg2": "-29.5", "res": "136.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "29.5", "res": "462%"}], "program": "subtract(106.9, -29.5), divide(#0, 29.5)", "gold_inds": {"table_6": "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;", "table_8": "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"}, "exe_ans": 4.62373, "tfidftopn": {"table_4": "( $ in millions ) The 2006 change of foreign currency translation is 57.2 ; The 2006 change of pension and other postretirement items net of tax is 55.9 ; The 2006 change of effective financial derivatives net of tax is 6.0 ; The 2006 change of accumulated other comprehensive earnings ( loss ) is 119.1 ;"}, "program_re": "divide(subtract(106.9, -29.5), 29.5)", "model_input": [["table_6", "( $ in millions ) the december 31 2006 of foreign currency translation is 131.8 ; the december 31 2006 of pension and other postretirement items net of tax is -161.9 ( 161.9 ) ; the december 31 2006 of effective financial derivatives net of tax is 0.6 ; the december 31 2006 of accumulated other comprehensive earnings ( loss ) is -29.5 ( 29.5 ) ;"], ["table_7", "( $ in millions ) the 2007 change of foreign currency translation is 90.0 ; the 2007 change of pension and other postretirement items net of tax is 57.9 ; the 2007 change of effective financial derivatives net of tax is -11.5 ( 11.5 ) ; the 2007 change of accumulated other comprehensive earnings ( loss ) is 136.4 ;"], ["table_8", "( $ in millions ) the december 31 2007 of foreign currency translation is $ 221.8 ; the december 31 2007 of pension and other postretirement items net of tax is $ -104.0 ( 104.0 ) ; the december 31 2007 of effective financial derivatives net of tax is $ -10.9 ( 10.9 ) ; the december 31 2007 of accumulated other comprehensive earnings ( loss ) is $ 106.9 ;"]]}, "answers": ["462%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000481", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in cash dividends received in 2010 compare to 2009?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "26.8%.", "rejected": "9.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the growth rate in cash dividends received <TIME> compare to <TIME>?", "doc_prefix": "CE", "base_question": "what is the growth rate in cash dividends received <TIME> compare to <TIME>?", "original_question": "what is the growth rate in cash dividends received in 2010 compare to 2009?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"26.8%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "9.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "CE/2011/page_17.pdf-3", "qa": {"question": "what is the growth rate in cash dividends received in 2010 compare to 2009?", "answer": "26.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [32], "steps": [{"op": "minus2-1", "arg1": "71", "arg2": "56", "res": "15"}, {"op": "divide2-2", "arg1": "#0", "arg2": "56", "res": "26.8%"}], "program": "subtract(71, 56), divide(#0, 56)", "gold_inds": {"text_32": "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."}, "exe_ans": 0.26786, "tfidftopn": {"text_27": "since their inception in 1986 , the china acetate ventures have completed 12 expansions , leading to earnings growth and increased dividends .", "text_26": "in december 2009 , we announced plans with china national tobacco to expand our acetate flake and tow capacity at our venture's nantong facility and we received formal approval for the expansions , each by 30000 tons , during 2010 ."}, "program_re": "divide(subtract(71, 56), 56)", "model_input": [["text_32", "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."], ["text_33", "although our ownership interest in each of our china acetate ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states ( 201cus gaap 201d ) ."], ["text_36", "the table below represents our equity investments in infraserv ventures as of december 31 , 2011: ."]]}, "answers": ["26.8%"]}, "rejected_source": {"id": "CE/2011/page_17.pdf-1", "qa": {"question": "what is the growth rate in cash dividends received in 2011 compare to 2010?", "answer": "9.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [32], "steps": [{"op": "minus1-1", "arg1": "78", "arg2": "71", "res": "7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "71", "res": "9.9%"}], "program": "subtract(78, 71), divide(#0, 71)", "gold_inds": {"text_32": "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."}, "exe_ans": 0.09859, "tfidftopn": {"text_27": "since their inception in 1986 , the china acetate ventures have completed 12 expansions , leading to earnings growth and increased dividends .", "text_30": "in 2010 , we made contributions of $ 12 million ."}, "program_re": "divide(subtract(78, 71), 71)", "model_input": [["text_32", "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."], ["text_33", "although our ownership interest in each of our china acetate ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states ( 201cus gaap 201d ) ."], ["text_36", "the table below represents our equity investments in infraserv ventures as of december 31 , 2011: ."]]}, "answers": ["9.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000482", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in cash dividends received in 2011 compare to 2010?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "9.9%.", "rejected": "26.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the growth rate in cash dividends received <TIME> compare to <TIME>?", "doc_prefix": "CE", "base_question": "what is the growth rate in cash dividends received <TIME> compare to <TIME>?", "original_question": "what is the growth rate in cash dividends received in 2011 compare to 2010?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"26.8%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "9.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "CE/2011/page_17.pdf-1", "qa": {"question": "what is the growth rate in cash dividends received in 2011 compare to 2010?", "answer": "9.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [32], "steps": [{"op": "minus1-1", "arg1": "78", "arg2": "71", "res": "7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "71", "res": "9.9%"}], "program": "subtract(78, 71), divide(#0, 71)", "gold_inds": {"text_32": "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."}, "exe_ans": 0.09859, "tfidftopn": {"text_27": "since their inception in 1986 , the china acetate ventures have completed 12 expansions , leading to earnings growth and increased dividends .", "text_30": "in 2010 , we made contributions of $ 12 million ."}, "program_re": "divide(subtract(78, 71), 71)", "model_input": [["text_32", "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."], ["text_33", "although our ownership interest in each of our china acetate ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states ( 201cus gaap 201d ) ."], ["text_36", "the table below represents our equity investments in infraserv ventures as of december 31 , 2011: ."]]}, "answers": ["9.9%"]}, "rejected_source": {"id": "CE/2011/page_17.pdf-3", "qa": {"question": "what is the growth rate in cash dividends received in 2010 compare to 2009?", "answer": "26.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [32], "steps": [{"op": "minus2-1", "arg1": "71", "arg2": "56", "res": "15"}, {"op": "divide2-2", "arg1": "#0", "arg2": "56", "res": "26.8%"}], "program": "subtract(71, 56), divide(#0, 56)", "gold_inds": {"text_32": "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."}, "exe_ans": 0.26786, "tfidftopn": {"text_27": "since their inception in 1986 , the china acetate ventures have completed 12 expansions , leading to earnings growth and increased dividends .", "text_26": "in december 2009 , we announced plans with china national tobacco to expand our acetate flake and tow capacity at our venture's nantong facility and we received formal approval for the expansions , each by 30000 tons , during 2010 ."}, "program_re": "divide(subtract(71, 56), 56)", "model_input": [["text_32", "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."], ["text_33", "although our ownership interest in each of our china acetate ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states ( 201cus gaap 201d ) ."], ["text_36", "the table below represents our equity investments in infraserv ventures as of december 31 , 2011: ."]]}, "answers": ["26.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000483", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2011 what was the percentage change in the gross unrecognized tax benefits\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "61.5%.", "rejected": "63%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SWKS || <TIME> what was the percentage change in the gross unrecognized tax benefits", "doc_prefix": "SWKS", "base_question": "<TIME> what was the percentage change in the gross unrecognized tax benefits", "original_question": "in 2011 what was the percentage change in the gross unrecognized tax benefits", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"61.5%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "63%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "SWKS/2011/page_112.pdf-2", "qa": {"question": "in 2011 what was the percentage change in the gross unrecognized tax benefits", "answer": "61.5%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "32136", "arg2": "19900", "res": "12236"}, {"op": "divide1-2", "arg1": "#0", "arg2": "19900", "res": "61.5%"}], "program": "subtract(32136, 19900), divide(#0, 19900)", "gold_inds": {"table_5": "balance at october 1 2010 the balance at september 30 2011 of $ 19900 is $ 32136 ;"}, "exe_ans": 0.61487, "tfidftopn": {"text_8": "the company recognized $ 0.5 million of accrued interest or penalties related to unrecognized tax benefits during fiscal year 2011 .", "text_0": "notes to consolidated financial statements 2014 ( continued ) a reconciliation of the beginning and ending amount of gross unrecognized tax benefits is as follows ( in thousands ) : ."}, "program_re": "divide(subtract(32136, 19900), 19900)", "model_input": [["table_0", "balance at october 1 2010 the balance at october 1 2010 of $ 19900 is $ 19900 ;"], ["table_2", "balance at october 1 2010 the increases based on positions related to current year of $ 19900 is 11334 ;"], ["table_5", "balance at october 1 2010 the balance at september 30 2011 of $ 19900 is $ 32136 ;"]]}, "answers": ["61.5%"]}, "rejected_source": {"id": "SWKS/2012/page_116.pdf-2", "qa": {"question": "in 2012 what was the percentage change in the gross unrecognized tax benefits", "answer": "63%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "52380", "arg2": "32136", "res": "20244"}, {"op": "divide1-2", "arg1": "#0", "arg2": "32136", "res": "63%"}], "program": "subtract(52380, 32136), divide(#0, 32136)", "gold_inds": {"table_1": "the balance at september 30 2011 of unrecognized tax benefits is $ 32136 ;", "table_6": "the balance at september 28 2012 of unrecognized tax benefits is $ 52380 ;"}, "exe_ans": 0.62995, "tfidftopn": {"text_22": "a reconciliation of the beginning and ending amount of gross unrecognized tax benefits is as follows ( in thousands ) : unrecognized tax benefits ."}, "program_re": "divide(subtract(52380, 32136), 32136)", "model_input": [["text_18", "the company 2019s gross unrecognized tax benefits totaled $ 52.4 million and $ 32.1 million as of september 28 , 2012 and september 30 , 2011 , respectively ."], ["table_1", "the balance at september 30 2011 of unrecognized tax benefits is $ 32136 ;"], ["table_6", "the balance at september 28 2012 of unrecognized tax benefits is $ 52380 ;"]]}, "answers": ["63%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000484", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2012 what was the percentage change in the gross unrecognized tax benefits\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "63%.", "rejected": "61.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SWKS || <TIME> what was the percentage change in the gross unrecognized tax benefits", "doc_prefix": "SWKS", "base_question": "<TIME> what was the percentage change in the gross unrecognized tax benefits", "original_question": "in 2012 what was the percentage change in the gross unrecognized tax benefits", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"61.5%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "63%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "SWKS/2012/page_116.pdf-2", "qa": {"question": "in 2012 what was the percentage change in the gross unrecognized tax benefits", "answer": "63%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "52380", "arg2": "32136", "res": "20244"}, {"op": "divide1-2", "arg1": "#0", "arg2": "32136", "res": "63%"}], "program": "subtract(52380, 32136), divide(#0, 32136)", "gold_inds": {"table_1": "the balance at september 30 2011 of unrecognized tax benefits is $ 32136 ;", "table_6": "the balance at september 28 2012 of unrecognized tax benefits is $ 52380 ;"}, "exe_ans": 0.62995, "tfidftopn": {"text_22": "a reconciliation of the beginning and ending amount of gross unrecognized tax benefits is as follows ( in thousands ) : unrecognized tax benefits ."}, "program_re": "divide(subtract(52380, 32136), 32136)", "model_input": [["text_18", "the company 2019s gross unrecognized tax benefits totaled $ 52.4 million and $ 32.1 million as of september 28 , 2012 and september 30 , 2011 , respectively ."], ["table_1", "the balance at september 30 2011 of unrecognized tax benefits is $ 32136 ;"], ["table_6", "the balance at september 28 2012 of unrecognized tax benefits is $ 52380 ;"]]}, "answers": ["63%"]}, "rejected_source": {"id": "SWKS/2011/page_112.pdf-2", "qa": {"question": "in 2011 what was the percentage change in the gross unrecognized tax benefits", "answer": "61.5%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "32136", "arg2": "19900", "res": "12236"}, {"op": "divide1-2", "arg1": "#0", "arg2": "19900", "res": "61.5%"}], "program": "subtract(32136, 19900), divide(#0, 19900)", "gold_inds": {"table_5": "balance at october 1 2010 the balance at september 30 2011 of $ 19900 is $ 32136 ;"}, "exe_ans": 0.61487, "tfidftopn": {"text_8": "the company recognized $ 0.5 million of accrued interest or penalties related to unrecognized tax benefits during fiscal year 2011 .", "text_0": "notes to consolidated financial statements 2014 ( continued ) a reconciliation of the beginning and ending amount of gross unrecognized tax benefits is as follows ( in thousands ) : ."}, "program_re": "divide(subtract(32136, 19900), 19900)", "model_input": [["table_0", "balance at october 1 2010 the balance at october 1 2010 of $ 19900 is $ 19900 ;"], ["table_2", "balance at october 1 2010 the increases based on positions related to current year of $ 19900 is 11334 ;"], ["table_5", "balance at october 1 2010 the balance at september 30 2011 of $ 19900 is $ 32136 ;"]]}, "answers": ["61.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000485", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in accumulated other comprehensive income during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-606.", "rejected": "46.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what is the net change in accumulated other comprehensive income <TIME>?", "doc_prefix": "INTC", "base_question": "what is the net change in accumulated other comprehensive income <TIME>?", "original_question": "what is the net change in accumulated other comprehensive income during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-606": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "46": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "INTC/2016/page_100.pdf-1", "qa": {"question": "what is the net change in accumulated other comprehensive income during 2015?", "answer": "-606", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "60", "arg2": "666", "res": "-606"}], "program": "subtract(60, 666)", "gold_inds": {"table_1": "( in millions ) the december 27 2014 of unrealized holding gains ( losses ) on available-for-sale investments is $ 2459 ; the december 27 2014 of deferred tax asset valuation allowance is $ 26 ; the december 27 2014 of unrealized holding gains ( losses ) on derivatives is $ -423 ( 423 ) ; the december 27 2014 of prior service credits ( costs ) is $ -47 ( 47 ) ; the december 27 2014 of actuarial gains ( losses ) is $ -1004 ( 1004 ) ; the december 27 2014 of foreign currency translation adjustment is $ -345 ( 345 ) ; the december 27 2014 of total is $ 666 ;", "table_6": "( in millions ) the december 26 2015 of unrealized holding gains ( losses ) on available-for-sale investments is 1749 ; the december 26 2015 of deferred tax asset valuation allowance is 8 ; the december 26 2015 of unrealized holding gains ( losses ) on derivatives is -266 ( 266 ) ; the december 26 2015 of prior service credits ( costs ) is -40 ( 40 ) ; the december 26 2015 of actuarial gains ( losses ) is -876 ( 876 ) ; the december 26 2015 of foreign currency translation adjustment is -515 ( 515 ) ; the december 26 2015 of total is 60 ;"}, "exe_ans": -606.0, "tfidftopn": {"text_1": "."}, "program_re": "subtract(60, 666)", "model_input": [["table_1", "( in millions ) the december 27 2014 of unrealized holding gains ( losses ) on available-for-sale investments is $ 2459 ; the december 27 2014 of deferred tax asset valuation allowance is $ 26 ; the december 27 2014 of unrealized holding gains ( losses ) on derivatives is $ -423 ( 423 ) ; the december 27 2014 of prior service credits ( costs ) is $ -47 ( 47 ) ; the december 27 2014 of actuarial gains ( losses ) is $ -1004 ( 1004 ) ; the december 27 2014 of foreign currency translation adjustment is $ -345 ( 345 ) ; the december 27 2014 of total is $ 666 ;"], ["table_6", "( in millions ) the december 26 2015 of unrealized holding gains ( losses ) on available-for-sale investments is 1749 ; the december 26 2015 of deferred tax asset valuation allowance is 8 ; the december 26 2015 of unrealized holding gains ( losses ) on derivatives is -266 ( 266 ) ; the december 26 2015 of prior service credits ( costs ) is -40 ( 40 ) ; the december 26 2015 of actuarial gains ( losses ) is -876 ( 876 ) ; the december 26 2015 of foreign currency translation adjustment is -515 ( 515 ) ; the december 26 2015 of total is 60 ;"]]}, "answers": ["-606"]}, "rejected_source": {"id": "INTC/2016/page_100.pdf-2", "qa": {"question": "what is the net change in accumulated other comprehensive income during 2016?", "answer": "46", "explanation": "", "ann_table_rows": [6, 11], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "106", "arg2": "60", "res": "46"}], "program": "subtract(106, 60)", "gold_inds": {"table_6": "( in millions ) the december 26 2015 of unrealized holding gains ( losses ) on available-for-sale investments is 1749 ; the december 26 2015 of deferred tax asset valuation allowance is 8 ; the december 26 2015 of unrealized holding gains ( losses ) on derivatives is -266 ( 266 ) ; the december 26 2015 of prior service credits ( costs ) is -40 ( 40 ) ; the december 26 2015 of actuarial gains ( losses ) is -876 ( 876 ) ; the december 26 2015 of foreign currency translation adjustment is -515 ( 515 ) ; the december 26 2015 of total is 60 ;", "table_11": "( in millions ) the december 31 2016 of unrealized holding gains ( losses ) on available-for-sale investments is $ 2164 ; the december 31 2016 of deferred tax asset valuation allowance is $ 2014 ; the december 31 2016 of unrealized holding gains ( losses ) on derivatives is $ -259 ( 259 ) ; the december 31 2016 of prior service credits ( costs ) is $ -40 ( 40 ) ; the december 31 2016 of actuarial gains ( losses ) is $ -1240 ( 1240 ) ; the december 31 2016 of foreign currency translation adjustment is $ -519 ( 519 ) ; the december 31 2016 of total is $ 106 ;"}, "exe_ans": 46.0, "tfidftopn": {"text_1": "."}, "program_re": "subtract(106, 60)", "model_input": [["table_6", "( in millions ) the december 26 2015 of unrealized holding gains ( losses ) on available-for-sale investments is 1749 ; the december 26 2015 of deferred tax asset valuation allowance is 8 ; the december 26 2015 of unrealized holding gains ( losses ) on derivatives is -266 ( 266 ) ; the december 26 2015 of prior service credits ( costs ) is -40 ( 40 ) ; the december 26 2015 of actuarial gains ( losses ) is -876 ( 876 ) ; the december 26 2015 of foreign currency translation adjustment is -515 ( 515 ) ; the december 26 2015 of total is 60 ;"], ["table_11", "( in millions ) the december 31 2016 of unrealized holding gains ( losses ) on available-for-sale investments is $ 2164 ; the december 31 2016 of deferred tax asset valuation allowance is $ 2014 ; the december 31 2016 of unrealized holding gains ( losses ) on derivatives is $ -259 ( 259 ) ; the december 31 2016 of prior service credits ( costs ) is $ -40 ( 40 ) ; the december 31 2016 of actuarial gains ( losses ) is $ -1240 ( 1240 ) ; the december 31 2016 of foreign currency translation adjustment is $ -519 ( 519 ) ; the december 31 2016 of total is $ 106 ;"]]}, "answers": ["46"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000486", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in accumulated other comprehensive income during 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "46.", "rejected": "-606.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what is the net change in accumulated other comprehensive income <TIME>?", "doc_prefix": "INTC", "base_question": "what is the net change in accumulated other comprehensive income <TIME>?", "original_question": "what is the net change in accumulated other comprehensive income during 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-606": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "46": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "INTC/2016/page_100.pdf-2", "qa": {"question": "what is the net change in accumulated other comprehensive income during 2016?", "answer": "46", "explanation": "", "ann_table_rows": [6, 11], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "106", "arg2": "60", "res": "46"}], "program": "subtract(106, 60)", "gold_inds": {"table_6": "( in millions ) the december 26 2015 of unrealized holding gains ( losses ) on available-for-sale investments is 1749 ; the december 26 2015 of deferred tax asset valuation allowance is 8 ; the december 26 2015 of unrealized holding gains ( losses ) on derivatives is -266 ( 266 ) ; the december 26 2015 of prior service credits ( costs ) is -40 ( 40 ) ; the december 26 2015 of actuarial gains ( losses ) is -876 ( 876 ) ; the december 26 2015 of foreign currency translation adjustment is -515 ( 515 ) ; the december 26 2015 of total is 60 ;", "table_11": "( in millions ) the december 31 2016 of unrealized holding gains ( losses ) on available-for-sale investments is $ 2164 ; the december 31 2016 of deferred tax asset valuation allowance is $ 2014 ; the december 31 2016 of unrealized holding gains ( losses ) on derivatives is $ -259 ( 259 ) ; the december 31 2016 of prior service credits ( costs ) is $ -40 ( 40 ) ; the december 31 2016 of actuarial gains ( losses ) is $ -1240 ( 1240 ) ; the december 31 2016 of foreign currency translation adjustment is $ -519 ( 519 ) ; the december 31 2016 of total is $ 106 ;"}, "exe_ans": 46.0, "tfidftopn": {"text_1": "."}, "program_re": "subtract(106, 60)", "model_input": [["table_6", "( in millions ) the december 26 2015 of unrealized holding gains ( losses ) on available-for-sale investments is 1749 ; the december 26 2015 of deferred tax asset valuation allowance is 8 ; the december 26 2015 of unrealized holding gains ( losses ) on derivatives is -266 ( 266 ) ; the december 26 2015 of prior service credits ( costs ) is -40 ( 40 ) ; the december 26 2015 of actuarial gains ( losses ) is -876 ( 876 ) ; the december 26 2015 of foreign currency translation adjustment is -515 ( 515 ) ; the december 26 2015 of total is 60 ;"], ["table_11", "( in millions ) the december 31 2016 of unrealized holding gains ( losses ) on available-for-sale investments is $ 2164 ; the december 31 2016 of deferred tax asset valuation allowance is $ 2014 ; the december 31 2016 of unrealized holding gains ( losses ) on derivatives is $ -259 ( 259 ) ; the december 31 2016 of prior service credits ( costs ) is $ -40 ( 40 ) ; the december 31 2016 of actuarial gains ( losses ) is $ -1240 ( 1240 ) ; the december 31 2016 of foreign currency translation adjustment is $ -519 ( 519 ) ; the december 31 2016 of total is $ 106 ;"]]}, "answers": ["46"]}, "rejected_source": {"id": "INTC/2016/page_100.pdf-1", "qa": {"question": "what is the net change in accumulated other comprehensive income during 2015?", "answer": "-606", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "60", "arg2": "666", "res": "-606"}], "program": "subtract(60, 666)", "gold_inds": {"table_1": "( in millions ) the december 27 2014 of unrealized holding gains ( losses ) on available-for-sale investments is $ 2459 ; the december 27 2014 of deferred tax asset valuation allowance is $ 26 ; the december 27 2014 of unrealized holding gains ( losses ) on derivatives is $ -423 ( 423 ) ; the december 27 2014 of prior service credits ( costs ) is $ -47 ( 47 ) ; the december 27 2014 of actuarial gains ( losses ) is $ -1004 ( 1004 ) ; the december 27 2014 of foreign currency translation adjustment is $ -345 ( 345 ) ; the december 27 2014 of total is $ 666 ;", "table_6": "( in millions ) the december 26 2015 of unrealized holding gains ( losses ) on available-for-sale investments is 1749 ; the december 26 2015 of deferred tax asset valuation allowance is 8 ; the december 26 2015 of unrealized holding gains ( losses ) on derivatives is -266 ( 266 ) ; the december 26 2015 of prior service credits ( costs ) is -40 ( 40 ) ; the december 26 2015 of actuarial gains ( losses ) is -876 ( 876 ) ; the december 26 2015 of foreign currency translation adjustment is -515 ( 515 ) ; the december 26 2015 of total is 60 ;"}, "exe_ans": -606.0, "tfidftopn": {"text_1": "."}, "program_re": "subtract(60, 666)", "model_input": [["table_1", "( in millions ) the december 27 2014 of unrealized holding gains ( losses ) on available-for-sale investments is $ 2459 ; the december 27 2014 of deferred tax asset valuation allowance is $ 26 ; the december 27 2014 of unrealized holding gains ( losses ) on derivatives is $ -423 ( 423 ) ; the december 27 2014 of prior service credits ( costs ) is $ -47 ( 47 ) ; the december 27 2014 of actuarial gains ( losses ) is $ -1004 ( 1004 ) ; the december 27 2014 of foreign currency translation adjustment is $ -345 ( 345 ) ; the december 27 2014 of total is $ 666 ;"], ["table_6", "( in millions ) the december 26 2015 of unrealized holding gains ( losses ) on available-for-sale investments is 1749 ; the december 26 2015 of deferred tax asset valuation allowance is 8 ; the december 26 2015 of unrealized holding gains ( losses ) on derivatives is -266 ( 266 ) ; the december 26 2015 of prior service credits ( costs ) is -40 ( 40 ) ; the december 26 2015 of actuarial gains ( losses ) is -876 ( 876 ) ; the december 26 2015 of foreign currency translation adjustment is -515 ( 515 ) ; the december 26 2015 of total is 60 ;"]]}, "answers": ["-606"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000487", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was operating income return on sales on the discontinued glass segment in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "12.2%.", "rejected": "13.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was operating income return on sales on the discontinued glass segment <TIME>?", "doc_prefix": "PPG", "base_question": "what was operating income return on sales on the discontinued glass segment <TIME>?", "original_question": "what was operating income return on sales on the discontinued glass segment in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12.2%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "13.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "PPG/2018/page_61.pdf-1", "qa": {"question": "what was operating income return on sales on the discontinued glass segment in 2016?", "answer": "12.2%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "111", "arg2": "908", "res": "12.2%"}], "program": "divide(111, 908)", "gold_inds": {"table_1": "( $ in millions ) the net sales of 2018 is $ 2014 ; the net sales of 2017 is $ 217 ; the net sales of 2016 is $ 908 ;", "table_2": "( $ in millions ) the income from operations of 2018 is $ 21 ; the income from operations of 2017 is $ 30 ; the income from operations of 2016 is $ 111 ;"}, "exe_ans": 0.12225, "tfidftopn": {"text_14": "the net sales and income from discontinued operations related to the former glass segment for the three years ended december 31 , 2018 , 2017 , and 2016 were as follows: ."}, "program_re": "divide(111, 908)", "model_input": [["text_14", "the net sales and income from discontinued operations related to the former glass segment for the three years ended december 31 , 2018 , 2017 , and 2016 were as follows: ."], ["table_1", "( $ in millions ) the net sales of 2018 is $ 2014 ; the net sales of 2017 is $ 217 ; the net sales of 2016 is $ 908 ;"], ["table_2", "( $ in millions ) the income from operations of 2018 is $ 21 ; the income from operations of 2017 is $ 30 ; the income from operations of 2016 is $ 111 ;"]]}, "answers": ["12.2%"]}, "rejected_source": {"id": "PPG/2018/page_61.pdf-2", "qa": {"question": "what was operating income return on sales on the discontinued glass segment in 2017?", "answer": "13.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "30", "arg2": "217", "res": "13.8%"}], "program": "divide(30, 217)", "gold_inds": {"table_1": "( $ in millions ) the net sales of 2018 is $ 2014 ; the net sales of 2017 is $ 217 ; the net sales of 2016 is $ 908 ;", "table_2": "( $ in millions ) the income from operations of 2018 is $ 21 ; the income from operations of 2017 is $ 30 ; the income from operations of 2016 is $ 111 ;"}, "exe_ans": 0.13825, "tfidftopn": {"text_14": "the net sales and income from discontinued operations related to the former glass segment for the three years ended december 31 , 2018 , 2017 , and 2016 were as follows: ."}, "program_re": "divide(30, 217)", "model_input": [["text_14", "the net sales and income from discontinued operations related to the former glass segment for the three years ended december 31 , 2018 , 2017 , and 2016 were as follows: ."], ["table_1", "( $ in millions ) the net sales of 2018 is $ 2014 ; the net sales of 2017 is $ 217 ; the net sales of 2016 is $ 908 ;"], ["table_2", "( $ in millions ) the income from operations of 2018 is $ 21 ; the income from operations of 2017 is $ 30 ; the income from operations of 2016 is $ 111 ;"]]}, "answers": ["13.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000488", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was operating income return on sales on the discontinued glass segment in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "13.8%.", "rejected": "12.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was operating income return on sales on the discontinued glass segment <TIME>?", "doc_prefix": "PPG", "base_question": "what was operating income return on sales on the discontinued glass segment <TIME>?", "original_question": "what was operating income return on sales on the discontinued glass segment in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12.2%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "13.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "PPG/2018/page_61.pdf-2", "qa": {"question": "what was operating income return on sales on the discontinued glass segment in 2017?", "answer": "13.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "30", "arg2": "217", "res": "13.8%"}], "program": "divide(30, 217)", "gold_inds": {"table_1": "( $ in millions ) the net sales of 2018 is $ 2014 ; the net sales of 2017 is $ 217 ; the net sales of 2016 is $ 908 ;", "table_2": "( $ in millions ) the income from operations of 2018 is $ 21 ; the income from operations of 2017 is $ 30 ; the income from operations of 2016 is $ 111 ;"}, "exe_ans": 0.13825, "tfidftopn": {"text_14": "the net sales and income from discontinued operations related to the former glass segment for the three years ended december 31 , 2018 , 2017 , and 2016 were as follows: ."}, "program_re": "divide(30, 217)", "model_input": [["text_14", "the net sales and income from discontinued operations related to the former glass segment for the three years ended december 31 , 2018 , 2017 , and 2016 were as follows: ."], ["table_1", "( $ in millions ) the net sales of 2018 is $ 2014 ; the net sales of 2017 is $ 217 ; the net sales of 2016 is $ 908 ;"], ["table_2", "( $ in millions ) the income from operations of 2018 is $ 21 ; the income from operations of 2017 is $ 30 ; the income from operations of 2016 is $ 111 ;"]]}, "answers": ["13.8%"]}, "rejected_source": {"id": "PPG/2018/page_61.pdf-1", "qa": {"question": "what was operating income return on sales on the discontinued glass segment in 2016?", "answer": "12.2%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "111", "arg2": "908", "res": "12.2%"}], "program": "divide(111, 908)", "gold_inds": {"table_1": "( $ in millions ) the net sales of 2018 is $ 2014 ; the net sales of 2017 is $ 217 ; the net sales of 2016 is $ 908 ;", "table_2": "( $ in millions ) the income from operations of 2018 is $ 21 ; the income from operations of 2017 is $ 30 ; the income from operations of 2016 is $ 111 ;"}, "exe_ans": 0.12225, "tfidftopn": {"text_14": "the net sales and income from discontinued operations related to the former glass segment for the three years ended december 31 , 2018 , 2017 , and 2016 were as follows: ."}, "program_re": "divide(111, 908)", "model_input": [["text_14", "the net sales and income from discontinued operations related to the former glass segment for the three years ended december 31 , 2018 , 2017 , and 2016 were as follows: ."], ["table_1", "( $ in millions ) the net sales of 2018 is $ 2014 ; the net sales of 2017 is $ 217 ; the net sales of 2016 is $ 908 ;"], ["table_2", "( $ in millions ) the income from operations of 2018 is $ 21 ; the income from operations of 2017 is $ 30 ; the income from operations of 2016 is $ 111 ;"]]}, "answers": ["12.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000489", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total cash received from shares purchased from employees during 2009 , in millions?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "1.9.", "rejected": "2.6.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total cash received from shares purchased from employees <TIME> , in millions?", "doc_prefix": "AMT", "base_question": "what is the total cash received from shares purchased from employees <TIME> , in millions?", "original_question": "what is the total cash received from shares purchased from employees during 2009 , in millions?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.9": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "2.6": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "AMT/2010/page_115.pdf-2", "qa": {"question": "what is the total cash received from shares purchased from employees during 2009 , in millions?", "answer": "1.9", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "multiply2-1", "arg1": "77509", "arg2": "23.91", "res": "1853240.19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "1.9"}], "program": "multiply(77509, 23.91), divide(#0, const_1000000)", "gold_inds": {"text_5": "during the 2010 , 2009 and 2008 offering periods employees purchased 75354 , 77509 and 55764 shares , respectively , at weighted average prices per share of $ 34.16 , $ 23.91 and $ 30.08 , respectively ."}, "exe_ans": 1.85324, "tfidftopn": {"text_7": "the weighted average fair value for the espp shares purchased during 2010 , 2009 and 2008 was $ 9.43 , $ 6.65 and $ 7.89 , respectively .", "text_2": "under the espp , shares of the company 2019s common stock may be purchased during bi-annual offering periods at 85% ( 85 % ) of the lower of the fair market value on the first or the last day of each offering period ."}, "program_re": "divide(multiply(77509, 23.91), const_1000000)", "model_input": [["text_5", "during the 2010 , 2009 and 2008 offering periods employees purchased 75354 , 77509 and 55764 shares , respectively , at weighted average prices per share of $ 34.16 , $ 23.91 and $ 30.08 , respectively ."], ["text_9", "key assumptions used to apply this pricing model for the years ended december 31 , are as follows: ."], ["text_22", "stock repurchase program 2014during the year ended december 31 , 2010 , the company repurchased an aggregate of approximately 9.3 million shares of its common stock for an aggregate of $ 420.8 million , including commissions and fees , of which $ 418.6 million was paid in cash prior to december 31 , 2010 and $ 2.2 million was included in accounts payable and accrued expenses in the accompanying consolidated balance sheet as of december 31 , 2010 , pursuant to its publicly announced stock repurchase program , as described below. ."]]}, "answers": ["1.9"]}, "rejected_source": {"id": "AMT/2010/page_115.pdf-1", "qa": {"question": "what is the total cash received from shares purchased from employees during 2010 , in millions?", "answer": "2.6", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "multiply1-1", "arg1": "75354", "arg2": "34.16", "res": "2.6"}], "program": "multiply(75354, 34.16)", "gold_inds": {"text_5": "during the 2010 , 2009 and 2008 offering periods employees purchased 75354 , 77509 and 55764 shares , respectively , at weighted average prices per share of $ 34.16 , $ 23.91 and $ 30.08 , respectively ."}, "exe_ans": 2574092.64, "tfidftopn": {"text_7": "the weighted average fair value for the espp shares purchased during 2010 , 2009 and 2008 was $ 9.43 , $ 6.65 and $ 7.89 , respectively .", "text_22": "stock repurchase program 2014during the year ended december 31 , 2010 , the company repurchased an aggregate of approximately 9.3 million shares of its common stock for an aggregate of $ 420.8 million , including commissions and fees , of which $ 418.6 million was paid in cash prior to december 31 , 2010 and $ 2.2 million was included in accounts payable and accrued expenses in the accompanying consolidated balance sheet as of december 31 , 2010 , pursuant to its publicly announced stock repurchase program , as described below. ."}, "program_re": "multiply(75354, 34.16)", "model_input": [["text_5", "during the 2010 , 2009 and 2008 offering periods employees purchased 75354 , 77509 and 55764 shares , respectively , at weighted average prices per share of $ 34.16 , $ 23.91 and $ 30.08 , respectively ."], ["text_9", "key assumptions used to apply this pricing model for the years ended december 31 , are as follows: ."], ["text_22", "stock repurchase program 2014during the year ended december 31 , 2010 , the company repurchased an aggregate of approximately 9.3 million shares of its common stock for an aggregate of $ 420.8 million , including commissions and fees , of which $ 418.6 million was paid in cash prior to december 31 , 2010 and $ 2.2 million was included in accounts payable and accrued expenses in the accompanying consolidated balance sheet as of december 31 , 2010 , pursuant to its publicly announced stock repurchase program , as described below. ."]]}, "answers": ["2.6"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000490", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total cash received from shares purchased from employees during 2010 , in millions?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "2.6.", "rejected": "1.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total cash received from shares purchased from employees <TIME> , in millions?", "doc_prefix": "AMT", "base_question": "what is the total cash received from shares purchased from employees <TIME> , in millions?", "original_question": "what is the total cash received from shares purchased from employees during 2010 , in millions?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.9": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "2.6": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "AMT/2010/page_115.pdf-1", "qa": {"question": "what is the total cash received from shares purchased from employees during 2010 , in millions?", "answer": "2.6", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "multiply1-1", "arg1": "75354", "arg2": "34.16", "res": "2.6"}], "program": "multiply(75354, 34.16)", "gold_inds": {"text_5": "during the 2010 , 2009 and 2008 offering periods employees purchased 75354 , 77509 and 55764 shares , respectively , at weighted average prices per share of $ 34.16 , $ 23.91 and $ 30.08 , respectively ."}, "exe_ans": 2574092.64, "tfidftopn": {"text_7": "the weighted average fair value for the espp shares purchased during 2010 , 2009 and 2008 was $ 9.43 , $ 6.65 and $ 7.89 , respectively .", "text_22": "stock repurchase program 2014during the year ended december 31 , 2010 , the company repurchased an aggregate of approximately 9.3 million shares of its common stock for an aggregate of $ 420.8 million , including commissions and fees , of which $ 418.6 million was paid in cash prior to december 31 , 2010 and $ 2.2 million was included in accounts payable and accrued expenses in the accompanying consolidated balance sheet as of december 31 , 2010 , pursuant to its publicly announced stock repurchase program , as described below. ."}, "program_re": "multiply(75354, 34.16)", "model_input": [["text_5", "during the 2010 , 2009 and 2008 offering periods employees purchased 75354 , 77509 and 55764 shares , respectively , at weighted average prices per share of $ 34.16 , $ 23.91 and $ 30.08 , respectively ."], ["text_9", "key assumptions used to apply this pricing model for the years ended december 31 , are as follows: ."], ["text_22", "stock repurchase program 2014during the year ended december 31 , 2010 , the company repurchased an aggregate of approximately 9.3 million shares of its common stock for an aggregate of $ 420.8 million , including commissions and fees , of which $ 418.6 million was paid in cash prior to december 31 , 2010 and $ 2.2 million was included in accounts payable and accrued expenses in the accompanying consolidated balance sheet as of december 31 , 2010 , pursuant to its publicly announced stock repurchase program , as described below. ."]]}, "answers": ["2.6"]}, "rejected_source": {"id": "AMT/2010/page_115.pdf-2", "qa": {"question": "what is the total cash received from shares purchased from employees during 2009 , in millions?", "answer": "1.9", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "multiply2-1", "arg1": "77509", "arg2": "23.91", "res": "1853240.19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "1.9"}], "program": "multiply(77509, 23.91), divide(#0, const_1000000)", "gold_inds": {"text_5": "during the 2010 , 2009 and 2008 offering periods employees purchased 75354 , 77509 and 55764 shares , respectively , at weighted average prices per share of $ 34.16 , $ 23.91 and $ 30.08 , respectively ."}, "exe_ans": 1.85324, "tfidftopn": {"text_7": "the weighted average fair value for the espp shares purchased during 2010 , 2009 and 2008 was $ 9.43 , $ 6.65 and $ 7.89 , respectively .", "text_2": "under the espp , shares of the company 2019s common stock may be purchased during bi-annual offering periods at 85% ( 85 % ) of the lower of the fair market value on the first or the last day of each offering period ."}, "program_re": "divide(multiply(77509, 23.91), const_1000000)", "model_input": [["text_5", "during the 2010 , 2009 and 2008 offering periods employees purchased 75354 , 77509 and 55764 shares , respectively , at weighted average prices per share of $ 34.16 , $ 23.91 and $ 30.08 , respectively ."], ["text_9", "key assumptions used to apply this pricing model for the years ended december 31 , are as follows: ."], ["text_22", "stock repurchase program 2014during the year ended december 31 , 2010 , the company repurchased an aggregate of approximately 9.3 million shares of its common stock for an aggregate of $ 420.8 million , including commissions and fees , of which $ 418.6 million was paid in cash prior to december 31 , 2010 and $ 2.2 million was included in accounts payable and accrued expenses in the accompanying consolidated balance sheet as of december 31 , 2010 , pursuant to its publicly announced stock repurchase program , as described below. ."]]}, "answers": ["1.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000491", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: for 2012 quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of 2007?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "10.", "rejected": "13.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PNC || <TIME> quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of <TIME>?", "doc_prefix": "PNC", "base_question": "<TIME> quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of <TIME>?", "original_question": "for 2012 quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of 2007?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"10": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "13": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "PNC/2012/page_98.pdf-2", "qa": {"question": "for 2012 quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of 2007?", "answer": "10", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "100", "arg2": "90", "res": "10"}], "program": "subtract(100, 90)", "gold_inds": {"table_4": "dollars in millions the 2007 of december 31 2012 is 45 ; the 2007 of september 30 2012 is 137 ; the 2007 of june 30 2012 is 182 ; the 2007 of march 31 2012 is 100 ; the 2007 of december 312011 is 90 ;"}, "exe_ans": 10.0, "tfidftopn": {"text_12": "table 28 : analysis of quarterly residential mortgage repurchase claims by vintage dollars in millions december 31 september 30 june 30 march 31 december 31 .", "text_2": "for the first and second-lien mortgage balances of unresolved and settled claims contained in the tables below , a significant amount of these claims were associated with sold loans originated through correspondent lender and broker origination channels ."}, "program_re": "subtract(100, 90)", "model_input": [["table_4", "dollars in millions the 2007 of december 31 2012 is 45 ; the 2007 of september 30 2012 is 137 ; the 2007 of june 30 2012 is 182 ; the 2007 of march 31 2012 is 100 ; the 2007 of december 312011 is 90 ;"], ["table_7", "dollars in millions the 2009 2013 2012 of december 31 2012 is 38 ; the 2009 2013 2012 of september 30 2012 is 52 ; the 2009 2013 2012 of june 30 2012 is 42 ; the 2009 2013 2012 of march 31 2012 is 33 ; the 2009 2013 2012 of december 312011 is 29 ;"], ["table_8", "dollars in millions the total of december 31 2012 is $ 132 ; the total of september 30 2012 is $ 267 ; the total of june 30 2012 is $ 379 ; the total of march 31 2012 is $ 213 ; the total of december 312011 is $ 189 ;"]]}, "answers": ["10"]}, "rejected_source": {"id": "PNC/2012/page_98.pdf-1", "qa": {"question": "for 2012 quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of 2006?", "answer": "13", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "41", "arg2": "28", "res": "13"}], "program": "subtract(41, 28)", "gold_inds": {"table_3": "dollars in millions the 2006 of december 31 2012 is 23 ; the 2006 of september 30 2012 is 30 ; the 2006 of june 30 2012 is 56 ; the 2006 of march 31 2012 is 41 ; the 2006 of december 312011 is 28 ;"}, "exe_ans": 13.0, "tfidftopn": {"text_12": "table 28 : analysis of quarterly residential mortgage repurchase claims by vintage dollars in millions december 31 september 30 june 30 march 31 december 31 .", "text_2": "for the first and second-lien mortgage balances of unresolved and settled claims contained in the tables below , a significant amount of these claims were associated with sold loans originated through correspondent lender and broker origination channels ."}, "program_re": "subtract(41, 28)", "model_input": [["table_3", "dollars in millions the 2006 of december 31 2012 is 23 ; the 2006 of september 30 2012 is 30 ; the 2006 of june 30 2012 is 56 ; the 2006 of march 31 2012 is 41 ; the 2006 of december 312011 is 28 ;"], ["table_7", "dollars in millions the 2009 2013 2012 of december 31 2012 is 38 ; the 2009 2013 2012 of september 30 2012 is 52 ; the 2009 2013 2012 of june 30 2012 is 42 ; the 2009 2013 2012 of march 31 2012 is 33 ; the 2009 2013 2012 of december 312011 is 29 ;"], ["table_8", "dollars in millions the total of december 31 2012 is $ 132 ; the total of september 30 2012 is $ 267 ; the total of june 30 2012 is $ 379 ; the total of march 31 2012 is $ 213 ; the total of december 312011 is $ 189 ;"]]}, "answers": ["13"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000492", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: for 2012 quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of 2006?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "13.", "rejected": "10.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PNC || <TIME> quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of <TIME>?", "doc_prefix": "PNC", "base_question": "<TIME> quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of <TIME>?", "original_question": "for 2012 quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of 2006?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"10": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "13": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "PNC/2012/page_98.pdf-1", "qa": {"question": "for 2012 quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of 2006?", "answer": "13", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "41", "arg2": "28", "res": "13"}], "program": "subtract(41, 28)", "gold_inds": {"table_3": "dollars in millions the 2006 of december 31 2012 is 23 ; the 2006 of september 30 2012 is 30 ; the 2006 of june 30 2012 is 56 ; the 2006 of march 31 2012 is 41 ; the 2006 of december 312011 is 28 ;"}, "exe_ans": 13.0, "tfidftopn": {"text_12": "table 28 : analysis of quarterly residential mortgage repurchase claims by vintage dollars in millions december 31 september 30 june 30 march 31 december 31 .", "text_2": "for the first and second-lien mortgage balances of unresolved and settled claims contained in the tables below , a significant amount of these claims were associated with sold loans originated through correspondent lender and broker origination channels ."}, "program_re": "subtract(41, 28)", "model_input": [["table_3", "dollars in millions the 2006 of december 31 2012 is 23 ; the 2006 of september 30 2012 is 30 ; the 2006 of june 30 2012 is 56 ; the 2006 of march 31 2012 is 41 ; the 2006 of december 312011 is 28 ;"], ["table_7", "dollars in millions the 2009 2013 2012 of december 31 2012 is 38 ; the 2009 2013 2012 of september 30 2012 is 52 ; the 2009 2013 2012 of june 30 2012 is 42 ; the 2009 2013 2012 of march 31 2012 is 33 ; the 2009 2013 2012 of december 312011 is 29 ;"], ["table_8", "dollars in millions the total of december 31 2012 is $ 132 ; the total of september 30 2012 is $ 267 ; the total of june 30 2012 is $ 379 ; the total of march 31 2012 is $ 213 ; the total of december 312011 is $ 189 ;"]]}, "answers": ["13"]}, "rejected_source": {"id": "PNC/2012/page_98.pdf-2", "qa": {"question": "for 2012 quarterly residential mortgage repurchase claims , what was the change in millions between originations from first and second quarter of 2007?", "answer": "10", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "100", "arg2": "90", "res": "10"}], "program": "subtract(100, 90)", "gold_inds": {"table_4": "dollars in millions the 2007 of december 31 2012 is 45 ; the 2007 of september 30 2012 is 137 ; the 2007 of june 30 2012 is 182 ; the 2007 of march 31 2012 is 100 ; the 2007 of december 312011 is 90 ;"}, "exe_ans": 10.0, "tfidftopn": {"text_12": "table 28 : analysis of quarterly residential mortgage repurchase claims by vintage dollars in millions december 31 september 30 june 30 march 31 december 31 .", "text_2": "for the first and second-lien mortgage balances of unresolved and settled claims contained in the tables below , a significant amount of these claims were associated with sold loans originated through correspondent lender and broker origination channels ."}, "program_re": "subtract(100, 90)", "model_input": [["table_4", "dollars in millions the 2007 of december 31 2012 is 45 ; the 2007 of september 30 2012 is 137 ; the 2007 of june 30 2012 is 182 ; the 2007 of march 31 2012 is 100 ; the 2007 of december 312011 is 90 ;"], ["table_7", "dollars in millions the 2009 2013 2012 of december 31 2012 is 38 ; the 2009 2013 2012 of september 30 2012 is 52 ; the 2009 2013 2012 of june 30 2012 is 42 ; the 2009 2013 2012 of march 31 2012 is 33 ; the 2009 2013 2012 of december 312011 is 29 ;"], ["table_8", "dollars in millions the total of december 31 2012 is $ 132 ; the total of september 30 2012 is $ 267 ; the total of june 30 2012 is $ 379 ; the total of march 31 2012 is $ 213 ; the total of december 312011 is $ 189 ;"]]}, "answers": ["10"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000493", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage growth in the cash dividends from 2009 to 2010\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "26.8%.", "rejected": "9.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what was the percentage growth in the cash dividends <TIME>", "doc_prefix": "CE", "base_question": "what was the percentage growth in the cash dividends <TIME>", "original_question": "what was the percentage growth in the cash dividends from 2009 to 2010", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"26.8%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "9.9%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "CE/2011/page_17.pdf-2", "qa": {"question": "what was the percentage growth in the cash dividends from 2009 to 2010", "answer": "26.8%", "explanation": "the percentage change is the difference from year to year divide by the earlier year balance", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "71", "arg2": "56", "res": "15"}, {"op": "divide2-2", "arg1": "#0", "arg2": "56", "res": "26.8%"}], "program": "subtract(71, 56), divide(#0, 56)", "gold_inds": {"text_32": "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."}, "exe_ans": 0.26786, "tfidftopn": {"text_27": "since their inception in 1986 , the china acetate ventures have completed 12 expansions , leading to earnings growth and increased dividends .", "text_30": "in 2010 , we made contributions of $ 12 million ."}, "program_re": "divide(subtract(71, 56), 56)", "model_input": [["text_25", "combined , these ventures are a leader in chinese domestic acetate production and are well positioned to supply chinese cigarette producers ."], ["text_32", "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."], ["text_33", "although our ownership interest in each of our china acetate ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states ( 201cus gaap 201d ) ."]]}, "answers": ["26.8%"]}, "rejected_source": {"id": "CE/2011/page_17.pdf-4", "qa": {"question": "what was the percentage growth in the cash dividends from 2010 to 2011", "answer": "9.9%", "explanation": "the percentage change is the difference from year to year divide by the earlier year balance", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "78", "arg2": "71", "res": "7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "71", "res": "9.9%"}], "program": "subtract(78, 71), divide(#0, 71)", "gold_inds": {"text_32": "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."}, "exe_ans": 0.09859, "tfidftopn": {"text_27": "since their inception in 1986 , the china acetate ventures have completed 12 expansions , leading to earnings growth and increased dividends .", "text_30": "in 2010 , we made contributions of $ 12 million ."}, "program_re": "divide(subtract(78, 71), 71)", "model_input": [["text_25", "combined , these ventures are a leader in chinese domestic acetate production and are well positioned to supply chinese cigarette producers ."], ["text_32", "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."], ["text_33", "although our ownership interest in each of our china acetate ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states ( 201cus gaap 201d ) ."]]}, "answers": ["9.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000494", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage growth in the cash dividends from 2010 to 2011\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "9.9%.", "rejected": "26.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what was the percentage growth in the cash dividends <TIME>", "doc_prefix": "CE", "base_question": "what was the percentage growth in the cash dividends <TIME>", "original_question": "what was the percentage growth in the cash dividends from 2010 to 2011", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"26.8%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "9.9%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "CE/2011/page_17.pdf-4", "qa": {"question": "what was the percentage growth in the cash dividends from 2010 to 2011", "answer": "9.9%", "explanation": "the percentage change is the difference from year to year divide by the earlier year balance", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "78", "arg2": "71", "res": "7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "71", "res": "9.9%"}], "program": "subtract(78, 71), divide(#0, 71)", "gold_inds": {"text_32": "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."}, "exe_ans": 0.09859, "tfidftopn": {"text_27": "since their inception in 1986 , the china acetate ventures have completed 12 expansions , leading to earnings growth and increased dividends .", "text_30": "in 2010 , we made contributions of $ 12 million ."}, "program_re": "divide(subtract(78, 71), 71)", "model_input": [["text_25", "combined , these ventures are a leader in chinese domestic acetate production and are well positioned to supply chinese cigarette producers ."], ["text_32", "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."], ["text_33", "although our ownership interest in each of our china acetate ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states ( 201cus gaap 201d ) ."]]}, "answers": ["9.9%"]}, "rejected_source": {"id": "CE/2011/page_17.pdf-2", "qa": {"question": "what was the percentage growth in the cash dividends from 2009 to 2010", "answer": "26.8%", "explanation": "the percentage change is the difference from year to year divide by the earlier year balance", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "71", "arg2": "56", "res": "15"}, {"op": "divide2-2", "arg1": "#0", "arg2": "56", "res": "26.8%"}], "program": "subtract(71, 56), divide(#0, 56)", "gold_inds": {"text_32": "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."}, "exe_ans": 0.26786, "tfidftopn": {"text_27": "since their inception in 1986 , the china acetate ventures have completed 12 expansions , leading to earnings growth and increased dividends .", "text_30": "in 2010 , we made contributions of $ 12 million ."}, "program_re": "divide(subtract(71, 56), 56)", "model_input": [["text_25", "combined , these ventures are a leader in chinese domestic acetate production and are well positioned to supply chinese cigarette producers ."], ["text_32", "in 2011 , 2010 and 2009 , we received cash dividends of $ 78 million , $ 71 million and $ 56 million , respectively ."], ["text_33", "although our ownership interest in each of our china acetate ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states ( 201cus gaap 201d ) ."]]}, "answers": ["26.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000495", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in comprehensive income attributable to nbcuniversal from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "13%.", "rejected": "47%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CMCSA || what is the percentage change in comprehensive income attributable to nbcuniversal <TIME>?", "doc_prefix": "CMCSA", "base_question": "what is the percentage change in comprehensive income attributable to nbcuniversal <TIME>?", "original_question": "what is the percentage change in comprehensive income attributable to nbcuniversal from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"47%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "13%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "CMCSA/2015/page_150.pdf-2", "qa": {"question": "what is the percentage change in comprehensive income attributable to nbcuniversal from 2014 to 2015?", "answer": "13%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3361", "arg2": "2972", "res": "389"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2972", "res": "13%"}], "program": "subtract(3361, 2972), divide(#0, 2972)", "gold_inds": {"table_8": "year ended december 31 ( in millions ) the comprehensive income attributable to nbcuniversal of 2015 is $ 3361 ; the comprehensive income attributable to nbcuniversal of 2014 is $ 2972 ; the comprehensive income attributable to nbcuniversal of 2013 is $ 2017 ;"}, "exe_ans": 0.13089, "tfidftopn": {"table_7": "year ended december 31 ( in millions ) The other comprehensive ( income ) loss attributable to noncontrolling interests of 2015 is 29 ; The other comprehensive ( income ) loss attributable to noncontrolling interests of 2014 is 2014 ; The other comprehensive ( income ) loss attributable to noncontrolling interests of 2013 is 2014 ;", "table_5": "year ended december 31 ( in millions ) The comprehensive income of 2015 is 3542 ; The comprehensive income of 2014 is 3154 ; The comprehensive income of 2013 is 2171 ;"}, "program_re": "divide(subtract(3361, 2972), 2972)", "model_input": [["table_1", "year ended december 31 ( in millions ) the net income of 2015 is $ 3624 ; the net income of 2014 is $ 3297 ; the net income of 2013 is $ 2122 ;"], ["table_5", "year ended december 31 ( in millions ) the comprehensive income of 2015 is 3542 ; the comprehensive income of 2014 is 3154 ; the comprehensive income of 2013 is 2171 ;"], ["table_8", "year ended december 31 ( in millions ) the comprehensive income attributable to nbcuniversal of 2015 is $ 3361 ; the comprehensive income attributable to nbcuniversal of 2014 is $ 2972 ; the comprehensive income attributable to nbcuniversal of 2013 is $ 2017 ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "CMCSA/2015/page_150.pdf-1", "qa": {"question": "what is the percentage change in comprehensive income attributable to nbcuniversal from 2013 to 2014?", "answer": "47%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2972", "arg2": "2017", "res": "955"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2017", "res": "47%"}], "program": "subtract(2972, 2017), divide(#0, 2017)", "gold_inds": {"table_8": "year ended december 31 ( in millions ) the comprehensive income attributable to nbcuniversal of 2015 is $ 3361 ; the comprehensive income attributable to nbcuniversal of 2014 is $ 2972 ; the comprehensive income attributable to nbcuniversal of 2013 is $ 2017 ;"}, "exe_ans": 0.47348, "tfidftopn": {"table_7": "year ended december 31 ( in millions ) The other comprehensive ( income ) loss attributable to noncontrolling interests of 2015 is 29 ; The other comprehensive ( income ) loss attributable to noncontrolling interests of 2014 is 2014 ; The other comprehensive ( income ) loss attributable to noncontrolling interests of 2013 is 2014 ;", "table_5": "year ended december 31 ( in millions ) The comprehensive income of 2015 is 3542 ; The comprehensive income of 2014 is 3154 ; The comprehensive income of 2013 is 2171 ;"}, "program_re": "divide(subtract(2972, 2017), 2017)", "model_input": [["table_1", "year ended december 31 ( in millions ) the net income of 2015 is $ 3624 ; the net income of 2014 is $ 3297 ; the net income of 2013 is $ 2122 ;"], ["table_5", "year ended december 31 ( in millions ) the comprehensive income of 2015 is 3542 ; the comprehensive income of 2014 is 3154 ; the comprehensive income of 2013 is 2171 ;"], ["table_8", "year ended december 31 ( in millions ) the comprehensive income attributable to nbcuniversal of 2015 is $ 3361 ; the comprehensive income attributable to nbcuniversal of 2014 is $ 2972 ; the comprehensive income attributable to nbcuniversal of 2013 is $ 2017 ;"]]}, "answers": ["47%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000496", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in comprehensive income attributable to nbcuniversal from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "47%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CMCSA || what is the percentage change in comprehensive income attributable to nbcuniversal <TIME>?", "doc_prefix": "CMCSA", "base_question": "what is the percentage change in comprehensive income attributable to nbcuniversal <TIME>?", "original_question": "what is the percentage change in comprehensive income attributable to nbcuniversal from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"47%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "13%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "CMCSA/2015/page_150.pdf-1", "qa": {"question": "what is the percentage change in comprehensive income attributable to nbcuniversal from 2013 to 2014?", "answer": "47%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2972", "arg2": "2017", "res": "955"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2017", "res": "47%"}], "program": "subtract(2972, 2017), divide(#0, 2017)", "gold_inds": {"table_8": "year ended december 31 ( in millions ) the comprehensive income attributable to nbcuniversal of 2015 is $ 3361 ; the comprehensive income attributable to nbcuniversal of 2014 is $ 2972 ; the comprehensive income attributable to nbcuniversal of 2013 is $ 2017 ;"}, "exe_ans": 0.47348, "tfidftopn": {"table_7": "year ended december 31 ( in millions ) The other comprehensive ( income ) loss attributable to noncontrolling interests of 2015 is 29 ; The other comprehensive ( income ) loss attributable to noncontrolling interests of 2014 is 2014 ; The other comprehensive ( income ) loss attributable to noncontrolling interests of 2013 is 2014 ;", "table_5": "year ended december 31 ( in millions ) The comprehensive income of 2015 is 3542 ; The comprehensive income of 2014 is 3154 ; The comprehensive income of 2013 is 2171 ;"}, "program_re": "divide(subtract(2972, 2017), 2017)", "model_input": [["table_1", "year ended december 31 ( in millions ) the net income of 2015 is $ 3624 ; the net income of 2014 is $ 3297 ; the net income of 2013 is $ 2122 ;"], ["table_5", "year ended december 31 ( in millions ) the comprehensive income of 2015 is 3542 ; the comprehensive income of 2014 is 3154 ; the comprehensive income of 2013 is 2171 ;"], ["table_8", "year ended december 31 ( in millions ) the comprehensive income attributable to nbcuniversal of 2015 is $ 3361 ; the comprehensive income attributable to nbcuniversal of 2014 is $ 2972 ; the comprehensive income attributable to nbcuniversal of 2013 is $ 2017 ;"]]}, "answers": ["47%"]}, "rejected_source": {"id": "CMCSA/2015/page_150.pdf-2", "qa": {"question": "what is the percentage change in comprehensive income attributable to nbcuniversal from 2014 to 2015?", "answer": "13%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3361", "arg2": "2972", "res": "389"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2972", "res": "13%"}], "program": "subtract(3361, 2972), divide(#0, 2972)", "gold_inds": {"table_8": "year ended december 31 ( in millions ) the comprehensive income attributable to nbcuniversal of 2015 is $ 3361 ; the comprehensive income attributable to nbcuniversal of 2014 is $ 2972 ; the comprehensive income attributable to nbcuniversal of 2013 is $ 2017 ;"}, "exe_ans": 0.13089, "tfidftopn": {"table_7": "year ended december 31 ( in millions ) The other comprehensive ( income ) loss attributable to noncontrolling interests of 2015 is 29 ; The other comprehensive ( income ) loss attributable to noncontrolling interests of 2014 is 2014 ; The other comprehensive ( income ) loss attributable to noncontrolling interests of 2013 is 2014 ;", "table_5": "year ended december 31 ( in millions ) The comprehensive income of 2015 is 3542 ; The comprehensive income of 2014 is 3154 ; The comprehensive income of 2013 is 2171 ;"}, "program_re": "divide(subtract(3361, 2972), 2972)", "model_input": [["table_1", "year ended december 31 ( in millions ) the net income of 2015 is $ 3624 ; the net income of 2014 is $ 3297 ; the net income of 2013 is $ 2122 ;"], ["table_5", "year ended december 31 ( in millions ) the comprehensive income of 2015 is 3542 ; the comprehensive income of 2014 is 3154 ; the comprehensive income of 2013 is 2171 ;"], ["table_8", "year ended december 31 ( in millions ) the comprehensive income attributable to nbcuniversal of 2015 is $ 3361 ; the comprehensive income attributable to nbcuniversal of 2014 is $ 2972 ; the comprehensive income attributable to nbcuniversal of 2013 is $ 2017 ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000497", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage does rental expense make up of gross cost of facilities funded in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "13.5%.", "rejected": "14.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AWK || what percentage does rental expense make up of gross cost of facilities funded <TIME>?", "doc_prefix": "AWK", "base_question": "what percentage does rental expense make up of gross cost of facilities funded <TIME>?", "original_question": "what percentage does rental expense make up of gross cost of facilities funded in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14.0%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "13.5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AWK/2015/page_141.pdf-4", "qa": {"question": "what percentage does rental expense make up of gross cost of facilities funded in 2015?", "answer": "13.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [10, 20], "steps": [{"op": "divide1-1", "arg1": "21", "arg2": "156", "res": "13.5%"}], "program": "divide(21, 156)", "gold_inds": {"text_10": "rental expenses under operating leases were $ 21 for 2015 , $ 22 for 2014 and $ 23 for 2013 .", "text_20": "the gross cost of the facilities funded by the company recognized as a capital lease asset was $ 156 and $ 157 as of december 31 , 2015 and 2014 , respectively , which is presented in property , plant and equipment in the accompanying consolidated balance sheets ."}, "exe_ans": 0.13462, "tfidftopn": {"text_16": "the company leased back the total facilities , including portions funded by both the company and the partners , under leases for a period of 40 years ."}, "program_re": "divide(21, 156)", "model_input": [["text_10", "rental expenses under operating leases were $ 21 for 2015 , $ 22 for 2014 and $ 23 for 2013 ."], ["text_13", "the minimum annual future rental commitment under operating leases that have initial or remaining non- cancelable lease terms over the next five years and thereafter are as follows: ."], ["text_20", "the gross cost of the facilities funded by the company recognized as a capital lease asset was $ 156 and $ 157 as of december 31 , 2015 and 2014 , respectively , which is presented in property , plant and equipment in the accompanying consolidated balance sheets ."]]}, "answers": ["13.5%"]}, "rejected_source": {"id": "AWK/2015/page_141.pdf-3", "qa": {"question": "what percentage does rental expense make up of gross cost of facilities funded in 2014?", "answer": "14.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [10, 20], "steps": [{"op": "divide2-1", "arg1": "22", "arg2": "157", "res": "14.0%"}], "program": "divide(22, 157)", "gold_inds": {"text_10": "rental expenses under operating leases were $ 21 for 2015 , $ 22 for 2014 and $ 23 for 2013 .", "text_20": "the gross cost of the facilities funded by the company recognized as a capital lease asset was $ 156 and $ 157 as of december 31 , 2015 and 2014 , respectively , which is presented in property , plant and equipment in the accompanying consolidated balance sheets ."}, "exe_ans": 0.14013, "tfidftopn": {"text_16": "the company leased back the total facilities , including portions funded by both the company and the partners , under leases for a period of 40 years ."}, "program_re": "divide(22, 157)", "model_input": [["text_10", "rental expenses under operating leases were $ 21 for 2015 , $ 22 for 2014 and $ 23 for 2013 ."], ["text_13", "the minimum annual future rental commitment under operating leases that have initial or remaining non- cancelable lease terms over the next five years and thereafter are as follows: ."], ["text_20", "the gross cost of the facilities funded by the company recognized as a capital lease asset was $ 156 and $ 157 as of december 31 , 2015 and 2014 , respectively , which is presented in property , plant and equipment in the accompanying consolidated balance sheets ."]]}, "answers": ["14.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000498", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage does rental expense make up of gross cost of facilities funded in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "14.0%.", "rejected": "13.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AWK || what percentage does rental expense make up of gross cost of facilities funded <TIME>?", "doc_prefix": "AWK", "base_question": "what percentage does rental expense make up of gross cost of facilities funded <TIME>?", "original_question": "what percentage does rental expense make up of gross cost of facilities funded in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14.0%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "13.5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AWK/2015/page_141.pdf-3", "qa": {"question": "what percentage does rental expense make up of gross cost of facilities funded in 2014?", "answer": "14.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [10, 20], "steps": [{"op": "divide2-1", "arg1": "22", "arg2": "157", "res": "14.0%"}], "program": "divide(22, 157)", "gold_inds": {"text_10": "rental expenses under operating leases were $ 21 for 2015 , $ 22 for 2014 and $ 23 for 2013 .", "text_20": "the gross cost of the facilities funded by the company recognized as a capital lease asset was $ 156 and $ 157 as of december 31 , 2015 and 2014 , respectively , which is presented in property , plant and equipment in the accompanying consolidated balance sheets ."}, "exe_ans": 0.14013, "tfidftopn": {"text_16": "the company leased back the total facilities , including portions funded by both the company and the partners , under leases for a period of 40 years ."}, "program_re": "divide(22, 157)", "model_input": [["text_10", "rental expenses under operating leases were $ 21 for 2015 , $ 22 for 2014 and $ 23 for 2013 ."], ["text_13", "the minimum annual future rental commitment under operating leases that have initial or remaining non- cancelable lease terms over the next five years and thereafter are as follows: ."], ["text_20", "the gross cost of the facilities funded by the company recognized as a capital lease asset was $ 156 and $ 157 as of december 31 , 2015 and 2014 , respectively , which is presented in property , plant and equipment in the accompanying consolidated balance sheets ."]]}, "answers": ["14.0%"]}, "rejected_source": {"id": "AWK/2015/page_141.pdf-4", "qa": {"question": "what percentage does rental expense make up of gross cost of facilities funded in 2015?", "answer": "13.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [10, 20], "steps": [{"op": "divide1-1", "arg1": "21", "arg2": "156", "res": "13.5%"}], "program": "divide(21, 156)", "gold_inds": {"text_10": "rental expenses under operating leases were $ 21 for 2015 , $ 22 for 2014 and $ 23 for 2013 .", "text_20": "the gross cost of the facilities funded by the company recognized as a capital lease asset was $ 156 and $ 157 as of december 31 , 2015 and 2014 , respectively , which is presented in property , plant and equipment in the accompanying consolidated balance sheets ."}, "exe_ans": 0.13462, "tfidftopn": {"text_16": "the company leased back the total facilities , including portions funded by both the company and the partners , under leases for a period of 40 years ."}, "program_re": "divide(21, 156)", "model_input": [["text_10", "rental expenses under operating leases were $ 21 for 2015 , $ 22 for 2014 and $ 23 for 2013 ."], ["text_13", "the minimum annual future rental commitment under operating leases that have initial or remaining non- cancelable lease terms over the next five years and thereafter are as follows: ."], ["text_20", "the gross cost of the facilities funded by the company recognized as a capital lease asset was $ 156 and $ 157 as of december 31 , 2015 and 2014 , respectively , which is presented in property , plant and equipment in the accompanying consolidated balance sheets ."]]}, "answers": ["13.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000499", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the intrinsic value of stock options from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-59.5%.", "rejected": "56.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in the intrinsic value of stock options <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in the intrinsic value of stock options <TIME>?", "original_question": "what is the percentage change in the intrinsic value of stock options from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-59.5%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "56.4%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "AMT/2010/page_113.pdf-2", "qa": {"question": "what is the percentage change in the intrinsic value of stock options from 2007 to 2008?", "answer": "-59.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "40.1", "arg2": "99.1", "res": "-59"}, {"op": "divide2-2", "arg1": "#0", "arg2": "99.1", "res": "-59.5%"}], "program": "subtract(40.1, 99.1), divide(#0, 99.1)", "gold_inds": {"text_17": "the intrinsic value of stock options exercised during the years ended december 31 , 2010 , 2009 and 2008 was $ 62.7 million , $ 40.1 million and $ 99.1 million , respectively ."}, "exe_ans": -0.59536, "tfidftopn": {"text_7": "under the 2007 equity incentive plan ( 201c2007 plan 201d ) , which provides for the grant of non-qualified and incentive stock options , as well as restricted stock units , restricted stock and other stock-based awards , exercise prices in the case of non-qualified and incentive stock options are not less than the fair market value of the underlying common stock on the date of grant .", "text_9": "stock options 2014as of december 31 , 2010 , the company had the ability to grant stock-based awards with respect to an aggregate of 22.0 million shares of common stock under the 2007 plan ."}, "program_re": "divide(subtract(40.1, 99.1), 99.1)", "model_input": [["text_9", "stock options 2014as of december 31 , 2010 , the company had the ability to grant stock-based awards with respect to an aggregate of 22.0 million shares of common stock under the 2007 plan ."], ["text_17", "the intrinsic value of stock options exercised during the years ended december 31 , 2010 , 2009 and 2008 was $ 62.7 million , $ 40.1 million and $ 99.1 million , respectively ."], ["text_19", "the amount of cash received from the exercise of stock options was approximately $ 129.1 million during the year ended december 31 , 2010 ."]]}, "answers": ["-59.5%"]}, "rejected_source": {"id": "AMT/2010/page_113.pdf-1", "qa": {"question": "what is the percentage change in the intrinsic value of stock options from 2008 to 2009?", "answer": "56.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17], "steps": [{"op": "minus1-1", "arg1": "62.7", "arg2": "40.1", "res": "22.6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "40.1", "res": "56.4%"}], "program": "subtract(62.7, 40.1), divide(#0, 40.1)", "gold_inds": {"text_17": "the intrinsic value of stock options exercised during the years ended december 31 , 2010 , 2009 and 2008 was $ 62.7 million , $ 40.1 million and $ 99.1 million , respectively ."}, "exe_ans": 0.56359, "tfidftopn": {"text_7": "under the 2007 equity incentive plan ( 201c2007 plan 201d ) , which provides for the grant of non-qualified and incentive stock options , as well as restricted stock units , restricted stock and other stock-based awards , exercise prices in the case of non-qualified and incentive stock options are not less than the fair market value of the underlying common stock on the date of grant .", "text_16": "the weighted average grant date fair value per share during the years ended december 31 , 2010 , 2009 and 2008 was $ 15.03 , $ 8.90 and $ 9.55 , respectively ."}, "program_re": "divide(subtract(62.7, 40.1), 40.1)", "model_input": [["text_16", "the weighted average grant date fair value per share during the years ended december 31 , 2010 , 2009 and 2008 was $ 15.03 , $ 8.90 and $ 9.55 , respectively ."], ["text_17", "the intrinsic value of stock options exercised during the years ended december 31 , 2010 , 2009 and 2008 was $ 62.7 million , $ 40.1 million and $ 99.1 million , respectively ."], ["text_19", "the amount of cash received from the exercise of stock options was approximately $ 129.1 million during the year ended december 31 , 2010 ."]]}, "answers": ["56.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000500", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the intrinsic value of stock options from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "56.4%.", "rejected": "-59.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in the intrinsic value of stock options <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in the intrinsic value of stock options <TIME>?", "original_question": "what is the percentage change in the intrinsic value of stock options from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-59.5%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "56.4%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "AMT/2010/page_113.pdf-1", "qa": {"question": "what is the percentage change in the intrinsic value of stock options from 2008 to 2009?", "answer": "56.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17], "steps": [{"op": "minus1-1", "arg1": "62.7", "arg2": "40.1", "res": "22.6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "40.1", "res": "56.4%"}], "program": "subtract(62.7, 40.1), divide(#0, 40.1)", "gold_inds": {"text_17": "the intrinsic value of stock options exercised during the years ended december 31 , 2010 , 2009 and 2008 was $ 62.7 million , $ 40.1 million and $ 99.1 million , respectively ."}, "exe_ans": 0.56359, "tfidftopn": {"text_7": "under the 2007 equity incentive plan ( 201c2007 plan 201d ) , which provides for the grant of non-qualified and incentive stock options , as well as restricted stock units , restricted stock and other stock-based awards , exercise prices in the case of non-qualified and incentive stock options are not less than the fair market value of the underlying common stock on the date of grant .", "text_16": "the weighted average grant date fair value per share during the years ended december 31 , 2010 , 2009 and 2008 was $ 15.03 , $ 8.90 and $ 9.55 , respectively ."}, "program_re": "divide(subtract(62.7, 40.1), 40.1)", "model_input": [["text_16", "the weighted average grant date fair value per share during the years ended december 31 , 2010 , 2009 and 2008 was $ 15.03 , $ 8.90 and $ 9.55 , respectively ."], ["text_17", "the intrinsic value of stock options exercised during the years ended december 31 , 2010 , 2009 and 2008 was $ 62.7 million , $ 40.1 million and $ 99.1 million , respectively ."], ["text_19", "the amount of cash received from the exercise of stock options was approximately $ 129.1 million during the year ended december 31 , 2010 ."]]}, "answers": ["56.4%"]}, "rejected_source": {"id": "AMT/2010/page_113.pdf-2", "qa": {"question": "what is the percentage change in the intrinsic value of stock options from 2007 to 2008?", "answer": "-59.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "40.1", "arg2": "99.1", "res": "-59"}, {"op": "divide2-2", "arg1": "#0", "arg2": "99.1", "res": "-59.5%"}], "program": "subtract(40.1, 99.1), divide(#0, 99.1)", "gold_inds": {"text_17": "the intrinsic value of stock options exercised during the years ended december 31 , 2010 , 2009 and 2008 was $ 62.7 million , $ 40.1 million and $ 99.1 million , respectively ."}, "exe_ans": -0.59536, "tfidftopn": {"text_7": "under the 2007 equity incentive plan ( 201c2007 plan 201d ) , which provides for the grant of non-qualified and incentive stock options , as well as restricted stock units , restricted stock and other stock-based awards , exercise prices in the case of non-qualified and incentive stock options are not less than the fair market value of the underlying common stock on the date of grant .", "text_9": "stock options 2014as of december 31 , 2010 , the company had the ability to grant stock-based awards with respect to an aggregate of 22.0 million shares of common stock under the 2007 plan ."}, "program_re": "divide(subtract(40.1, 99.1), 99.1)", "model_input": [["text_9", "stock options 2014as of december 31 , 2010 , the company had the ability to grant stock-based awards with respect to an aggregate of 22.0 million shares of common stock under the 2007 plan ."], ["text_17", "the intrinsic value of stock options exercised during the years ended december 31 , 2010 , 2009 and 2008 was $ 62.7 million , $ 40.1 million and $ 99.1 million , respectively ."], ["text_19", "the amount of cash received from the exercise of stock options was approximately $ 129.1 million during the year ended december 31 , 2010 ."]]}, "answers": ["-59.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000501", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total amount of cash used for stock repurchase during november 2005 , in millions?\nReference time interval: 2005-11-01 00:00:00 to 2005-12-01 00:00:00", "chosen": "23.0.", "rejected": "53.5.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total amount of cash used for stock repurchase <TIME> , in millions?", "doc_prefix": "AMT", "base_question": "what is the total amount of cash used for stock repurchase <TIME> , in millions?", "original_question": "what is the total amount of cash used for stock repurchase during november 2005 , in millions?", "reference_time": {"start": "2005-11-01 00:00:00", "end": "2005-12-01 00:00:00", "normalized_text": "2005-11", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"23.0": [{"start": "2005-11-01 00:00:00", "end": "2005-12-01 00:00:00", "normalized_text": "2005-11"}], "53.5": [{"start": "2005-12-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005-12"}]}, "chosen_source": {"id": "AMT/2005/page_32.pdf-2", "qa": {"question": "what is the total amount of cash used for stock repurchase during november 2005 , in millions?", "answer": "23.0", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "874306", "arg2": "26.25", "res": "22950532.5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "23.0"}], "program": "multiply(874306, 26.25), divide(#0, const_1000000)", "gold_inds": {"table_2": "period the 12/1/05 2013 12/31/05 of total number of shares purchased ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of average price paid per share is $ 27.29 ; the 12/1/05 2013 12/31/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 673.4 ;", "table_1": "period the 11/17/05 2013 11/30/05 of total number of shares purchased ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of average price paid per share is $ 26.25 ; the 11/17/05 2013 11/30/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 727.0 ;"}, "exe_ans": 22.95053, "tfidftopn": {"text_15": "( 1 ) all issuer repurchases were made pursuant to the stock repurchase program publicly announced in november 2005 ."}, "program_re": "divide(multiply(874306, 26.25), const_1000000)", "model_input": [["table_1", "period the 11/17/05 2013 11/30/05 of total number of shares purchased ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of average price paid per share is $ 26.25 ; the 11/17/05 2013 11/30/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 727.0 ;"], ["table_2", "period the 12/1/05 2013 12/31/05 of total number of shares purchased ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of average price paid per share is $ 27.29 ; the 12/1/05 2013 12/31/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 673.4 ;"], ["text_21", "between january 1 , 2006 and march 9 , 2006 , we repurchased 3.9 million shares of class a common stock for an aggregate of $ 117.4 million pursuant to the stock repurchase program. ."]]}, "answers": ["23.0"]}, "rejected_source": {"id": "AMT/2005/page_32.pdf-3", "qa": {"question": "what is the total amount of cash used for stock repurchase during december 2005 , in millions?", "answer": "53.5", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "1962213", "arg2": "27.29", "res": "53548792.77"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000000", "res": "53.5"}], "program": "multiply(1962213, 27.29), divide(#0, const_1000000)", "gold_inds": {"table_2": "period the 12/1/05 2013 12/31/05 of total number of shares purchased ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of average price paid per share is $ 27.29 ; the 12/1/05 2013 12/31/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 673.4 ;"}, "exe_ans": 53.54879, "tfidftopn": {"text_20": "since december 31 , 2005 , we have continued to repurchase shares of our class a common stock pursuant to our stock repurchase program .", "text_16": "pursuant to the program , we intend to repurchase up to $ 750.0 million of our class a common stock during the period november 2005 through december 2006 ."}, "program_re": "divide(multiply(1962213, 27.29), const_1000000)", "model_input": [["table_1", "period the 11/17/05 2013 11/30/05 of total number of shares purchased ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of average price paid per share is $ 26.25 ; the 11/17/05 2013 11/30/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 727.0 ;"], ["table_2", "period the 12/1/05 2013 12/31/05 of total number of shares purchased ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of average price paid per share is $ 27.29 ; the 12/1/05 2013 12/31/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 673.4 ;"], ["text_21", "between january 1 , 2006 and march 9 , 2006 , we repurchased 3.9 million shares of class a common stock for an aggregate of $ 117.4 million pursuant to the stock repurchase program. ."]]}, "answers": ["53.5"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000502", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total amount of cash used for stock repurchase during december 2005 , in millions?\nReference time interval: 2005-12-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "53.5.", "rejected": "23.0.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total amount of cash used for stock repurchase <TIME> , in millions?", "doc_prefix": "AMT", "base_question": "what is the total amount of cash used for stock repurchase <TIME> , in millions?", "original_question": "what is the total amount of cash used for stock repurchase during december 2005 , in millions?", "reference_time": {"start": "2005-12-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005-12", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"23.0": [{"start": "2005-11-01 00:00:00", "end": "2005-12-01 00:00:00", "normalized_text": "2005-11"}], "53.5": [{"start": "2005-12-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005-12"}]}, "chosen_source": {"id": "AMT/2005/page_32.pdf-3", "qa": {"question": "what is the total amount of cash used for stock repurchase during december 2005 , in millions?", "answer": "53.5", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "1962213", "arg2": "27.29", "res": "53548792.77"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000000", "res": "53.5"}], "program": "multiply(1962213, 27.29), divide(#0, const_1000000)", "gold_inds": {"table_2": "period the 12/1/05 2013 12/31/05 of total number of shares purchased ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of average price paid per share is $ 27.29 ; the 12/1/05 2013 12/31/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 673.4 ;"}, "exe_ans": 53.54879, "tfidftopn": {"text_20": "since december 31 , 2005 , we have continued to repurchase shares of our class a common stock pursuant to our stock repurchase program .", "text_16": "pursuant to the program , we intend to repurchase up to $ 750.0 million of our class a common stock during the period november 2005 through december 2006 ."}, "program_re": "divide(multiply(1962213, 27.29), const_1000000)", "model_input": [["table_1", "period the 11/17/05 2013 11/30/05 of total number of shares purchased ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of average price paid per share is $ 26.25 ; the 11/17/05 2013 11/30/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 727.0 ;"], ["table_2", "period the 12/1/05 2013 12/31/05 of total number of shares purchased ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of average price paid per share is $ 27.29 ; the 12/1/05 2013 12/31/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 673.4 ;"], ["text_21", "between january 1 , 2006 and march 9 , 2006 , we repurchased 3.9 million shares of class a common stock for an aggregate of $ 117.4 million pursuant to the stock repurchase program. ."]]}, "answers": ["53.5"]}, "rejected_source": {"id": "AMT/2005/page_32.pdf-2", "qa": {"question": "what is the total amount of cash used for stock repurchase during november 2005 , in millions?", "answer": "23.0", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "874306", "arg2": "26.25", "res": "22950532.5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "23.0"}], "program": "multiply(874306, 26.25), divide(#0, const_1000000)", "gold_inds": {"table_2": "period the 12/1/05 2013 12/31/05 of total number of shares purchased ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of average price paid per share is $ 27.29 ; the 12/1/05 2013 12/31/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 673.4 ;", "table_1": "period the 11/17/05 2013 11/30/05 of total number of shares purchased ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of average price paid per share is $ 26.25 ; the 11/17/05 2013 11/30/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 727.0 ;"}, "exe_ans": 22.95053, "tfidftopn": {"text_15": "( 1 ) all issuer repurchases were made pursuant to the stock repurchase program publicly announced in november 2005 ."}, "program_re": "divide(multiply(874306, 26.25), const_1000000)", "model_input": [["table_1", "period the 11/17/05 2013 11/30/05 of total number of shares purchased ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of average price paid per share is $ 26.25 ; the 11/17/05 2013 11/30/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 874306 ; the 11/17/05 2013 11/30/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 727.0 ;"], ["table_2", "period the 12/1/05 2013 12/31/05 of total number of shares purchased ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of average price paid per share is $ 27.29 ; the 12/1/05 2013 12/31/05 of total number of shares purchased as part of publicly announced plans or programs ( 1 ) is 1962213 ; the 12/1/05 2013 12/31/05 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 673.4 ;"], ["text_21", "between january 1 , 2006 and march 9 , 2006 , we repurchased 3.9 million shares of class a common stock for an aggregate of $ 117.4 million pursuant to the stock repurchase program. ."]]}, "answers": ["23.0"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000503", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the pre-tax aggregate net unrealized loss in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "26.", "rejected": "5.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the pre-tax aggregate net unrealized loss <TIME>?", "doc_prefix": "AMT", "base_question": "what is the pre-tax aggregate net unrealized loss <TIME>?", "original_question": "what is the pre-tax aggregate net unrealized loss in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "26": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "AMT/2008/page_96.pdf-1", "qa": {"question": "what is the pre-tax aggregate net unrealized loss in 2008?", "answer": "26", "explanation": "", "ann_table_rows": [], "ann_text_rows": [8], "steps": [{"op": "add1-1", "arg1": "15.8", "arg2": "10.2", "res": "26"}], "program": "add(15.8, 10.2)", "gold_inds": {"text_8": "during the years ended december 31 , 2008 and 2007 , the company recorded an aggregate net unrealized loss of approximately $ 15.8 million and $ 3.2 million , respectively ( net of a tax provision of approximately $ 10.2 million and $ 2.0 million , respectively ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified an aggregate of $ 0.1 million and $ 6.2 million , respectively ( net of an income tax provision of $ 2.0 million and an income tax benefit of $ 3.3 million , respectively ) into results of operations ."}, "exe_ans": 26.0, "tfidftopn": {"table_3": "The unrealized losses related to interest rate swap agreements net of tax of 2008 is -16349 ( 16349 ) ; The unrealized losses related to interest rate swap agreements net of tax of 2007 is -486 ( 486 ) ;", "table_1": "The deferred loss on the settlement of the treasury rate lock net of tax of 2008 is $ -4332 ( 4332 ) ; The deferred loss on the settlement of the treasury rate lock net of tax of 2007 is $ -4901 ( 4901 ) ;"}, "program_re": "add(15.8, 10.2)", "model_input": [["table_1", "the deferred loss on the settlement of the treasury rate lock net of tax of 2008 is $ -4332 ( 4332 ) ; the deferred loss on the settlement of the treasury rate lock net of tax of 2007 is $ -4901 ( 4901 ) ;"], ["table_3", "the unrealized losses related to interest rate swap agreements net of tax of 2008 is -16349 ( 16349 ) ; the unrealized losses related to interest rate swap agreements net of tax of 2007 is -486 ( 486 ) ;"], ["text_8", "during the years ended december 31 , 2008 and 2007 , the company recorded an aggregate net unrealized loss of approximately $ 15.8 million and $ 3.2 million , respectively ( net of a tax provision of approximately $ 10.2 million and $ 2.0 million , respectively ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified an aggregate of $ 0.1 million and $ 6.2 million , respectively ( net of an income tax provision of $ 2.0 million and an income tax benefit of $ 3.3 million , respectively ) into results of operations ."]]}, "answers": ["26"]}, "rejected_source": {"id": "AMT/2008/page_96.pdf-4", "qa": {"question": "what is the pre-tax aggregate net unrealized loss in 2007?", "answer": "5.2", "explanation": "", "ann_table_rows": [], "ann_text_rows": [8], "steps": [{"op": "add2-1", "arg1": "3.2", "arg2": "2.0", "res": "5.2"}], "program": "add(3.2, 2.0)", "gold_inds": {"text_8": "during the years ended december 31 , 2008 and 2007 , the company recorded an aggregate net unrealized loss of approximately $ 15.8 million and $ 3.2 million , respectively ( net of a tax provision of approximately $ 10.2 million and $ 2.0 million , respectively ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified an aggregate of $ 0.1 million and $ 6.2 million , respectively ( net of an income tax provision of $ 2.0 million and an income tax benefit of $ 3.3 million , respectively ) into results of operations ."}, "exe_ans": 5.2, "tfidftopn": {"table_3": "The unrealized losses related to interest rate swap agreements net of tax of 2008 is -16349 ( 16349 ) ; The unrealized losses related to interest rate swap agreements net of tax of 2007 is -486 ( 486 ) ;", "table_1": "The deferred loss on the settlement of the treasury rate lock net of tax of 2008 is $ -4332 ( 4332 ) ; The deferred loss on the settlement of the treasury rate lock net of tax of 2007 is $ -4901 ( 4901 ) ;"}, "program_re": "add(3.2, 2.0)", "model_input": [["table_1", "the deferred loss on the settlement of the treasury rate lock net of tax of 2008 is $ -4332 ( 4332 ) ; the deferred loss on the settlement of the treasury rate lock net of tax of 2007 is $ -4901 ( 4901 ) ;"], ["table_3", "the unrealized losses related to interest rate swap agreements net of tax of 2008 is -16349 ( 16349 ) ; the unrealized losses related to interest rate swap agreements net of tax of 2007 is -486 ( 486 ) ;"], ["text_8", "during the years ended december 31 , 2008 and 2007 , the company recorded an aggregate net unrealized loss of approximately $ 15.8 million and $ 3.2 million , respectively ( net of a tax provision of approximately $ 10.2 million and $ 2.0 million , respectively ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified an aggregate of $ 0.1 million and $ 6.2 million , respectively ( net of an income tax provision of $ 2.0 million and an income tax benefit of $ 3.3 million , respectively ) into results of operations ."]]}, "answers": ["5.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000504", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the pre-tax aggregate net unrealized loss in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5.2.", "rejected": "26.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the pre-tax aggregate net unrealized loss <TIME>?", "doc_prefix": "AMT", "base_question": "what is the pre-tax aggregate net unrealized loss <TIME>?", "original_question": "what is the pre-tax aggregate net unrealized loss in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "26": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "AMT/2008/page_96.pdf-4", "qa": {"question": "what is the pre-tax aggregate net unrealized loss in 2007?", "answer": "5.2", "explanation": "", "ann_table_rows": [], "ann_text_rows": [8], "steps": [{"op": "add2-1", "arg1": "3.2", "arg2": "2.0", "res": "5.2"}], "program": "add(3.2, 2.0)", "gold_inds": {"text_8": "during the years ended december 31 , 2008 and 2007 , the company recorded an aggregate net unrealized loss of approximately $ 15.8 million and $ 3.2 million , respectively ( net of a tax provision of approximately $ 10.2 million and $ 2.0 million , respectively ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified an aggregate of $ 0.1 million and $ 6.2 million , respectively ( net of an income tax provision of $ 2.0 million and an income tax benefit of $ 3.3 million , respectively ) into results of operations ."}, "exe_ans": 5.2, "tfidftopn": {"table_3": "The unrealized losses related to interest rate swap agreements net of tax of 2008 is -16349 ( 16349 ) ; The unrealized losses related to interest rate swap agreements net of tax of 2007 is -486 ( 486 ) ;", "table_1": "The deferred loss on the settlement of the treasury rate lock net of tax of 2008 is $ -4332 ( 4332 ) ; The deferred loss on the settlement of the treasury rate lock net of tax of 2007 is $ -4901 ( 4901 ) ;"}, "program_re": "add(3.2, 2.0)", "model_input": [["table_1", "the deferred loss on the settlement of the treasury rate lock net of tax of 2008 is $ -4332 ( 4332 ) ; the deferred loss on the settlement of the treasury rate lock net of tax of 2007 is $ -4901 ( 4901 ) ;"], ["table_3", "the unrealized losses related to interest rate swap agreements net of tax of 2008 is -16349 ( 16349 ) ; the unrealized losses related to interest rate swap agreements net of tax of 2007 is -486 ( 486 ) ;"], ["text_8", "during the years ended december 31 , 2008 and 2007 , the company recorded an aggregate net unrealized loss of approximately $ 15.8 million and $ 3.2 million , respectively ( net of a tax provision of approximately $ 10.2 million and $ 2.0 million , respectively ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified an aggregate of $ 0.1 million and $ 6.2 million , respectively ( net of an income tax provision of $ 2.0 million and an income tax benefit of $ 3.3 million , respectively ) into results of operations ."]]}, "answers": ["5.2"]}, "rejected_source": {"id": "AMT/2008/page_96.pdf-1", "qa": {"question": "what is the pre-tax aggregate net unrealized loss in 2008?", "answer": "26", "explanation": "", "ann_table_rows": [], "ann_text_rows": [8], "steps": [{"op": "add1-1", "arg1": "15.8", "arg2": "10.2", "res": "26"}], "program": "add(15.8, 10.2)", "gold_inds": {"text_8": "during the years ended december 31 , 2008 and 2007 , the company recorded an aggregate net unrealized loss of approximately $ 15.8 million and $ 3.2 million , respectively ( net of a tax provision of approximately $ 10.2 million and $ 2.0 million , respectively ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified an aggregate of $ 0.1 million and $ 6.2 million , respectively ( net of an income tax provision of $ 2.0 million and an income tax benefit of $ 3.3 million , respectively ) into results of operations ."}, "exe_ans": 26.0, "tfidftopn": {"table_3": "The unrealized losses related to interest rate swap agreements net of tax of 2008 is -16349 ( 16349 ) ; The unrealized losses related to interest rate swap agreements net of tax of 2007 is -486 ( 486 ) ;", "table_1": "The deferred loss on the settlement of the treasury rate lock net of tax of 2008 is $ -4332 ( 4332 ) ; The deferred loss on the settlement of the treasury rate lock net of tax of 2007 is $ -4901 ( 4901 ) ;"}, "program_re": "add(15.8, 10.2)", "model_input": [["table_1", "the deferred loss on the settlement of the treasury rate lock net of tax of 2008 is $ -4332 ( 4332 ) ; the deferred loss on the settlement of the treasury rate lock net of tax of 2007 is $ -4901 ( 4901 ) ;"], ["table_3", "the unrealized losses related to interest rate swap agreements net of tax of 2008 is -16349 ( 16349 ) ; the unrealized losses related to interest rate swap agreements net of tax of 2007 is -486 ( 486 ) ;"], ["text_8", "during the years ended december 31 , 2008 and 2007 , the company recorded an aggregate net unrealized loss of approximately $ 15.8 million and $ 3.2 million , respectively ( net of a tax provision of approximately $ 10.2 million and $ 2.0 million , respectively ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified an aggregate of $ 0.1 million and $ 6.2 million , respectively ( net of an income tax provision of $ 2.0 million and an income tax benefit of $ 3.3 million , respectively ) into results of operations ."]]}, "answers": ["26"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000505", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the balance of unrecognized tax benefits during 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-28.0%.", "rejected": "4.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the growth rate in the balance of unrecognized tax benefits <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the growth rate in the balance of unrecognized tax benefits <TIME>?", "original_question": "what is the growth rate in the balance of unrecognized tax benefits during 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-28.0%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "4.3%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "ADBE/2011/page_101.pdf-4", "qa": {"question": "what is the growth rate in the balance of unrecognized tax benefits during 2010?", "answer": "-28.0%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "156925", "arg2": "218040", "res": "-61115"}, {"op": "divide2-2", "arg1": "#0", "arg2": "218040", "res": "-28.0%"}], "program": "subtract(156925, 218040), divide(#0, 218040)", "gold_inds": {"table_1": "the beginning balance of 2011 is $ 156925 ; the beginning balance of 2010 is $ 218040 ;", "table_8": "the ending balance of 2011 is $ 163607 ; the ending balance of 2010 is $ 156925 ;"}, "exe_ans": -0.28029, "tfidftopn": {"text_1": "accounting for uncertainty in income taxes during fiscal 2011 and 2010 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : beginning balance gross increases in unrecognized tax benefits 2013 prior year tax positions gross decreases in unrecognized tax benefits 2013 prior year tax positions gross increases in unrecognized tax benefits 2013 current year tax positions settlements with taxing authorities lapse of statute of limitations foreign exchange gains and losses ending balance $ 156925 11901 ( 4154 ) 32420 ( 29101 ) ( 3825 ) $ 163607 $ 218040 ( 7104 ) 15108 ( 70484 ) ( 7896 ) $ 156925 as of december 2 , 2011 , the combined amount of accrued interest and penalties related to tax positions taken on our tax returns and included in non-current income taxes payable was approximately $ 12.3 million ."}, "program_re": "divide(subtract(156925, 218040), 218040)", "model_input": [["table_1", "the beginning balance of 2011 is $ 156925 ; the beginning balance of 2010 is $ 218040 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2011 is 11901 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2010 is 9580 ;"], ["table_8", "the ending balance of 2011 is $ 163607 ; the ending balance of 2010 is $ 156925 ;"]]}, "answers": ["-28.0%"]}, "rejected_source": {"id": "ADBE/2011/page_101.pdf-3", "qa": {"question": "what is the growth rate in the balance of unrecognized tax benefits during 2011?", "answer": "4.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "163607", "arg2": "156925", "res": "6682"}, {"op": "divide1-2", "arg1": "#0", "arg2": "156925", "res": "4.3%"}], "program": "subtract(163607, 156925), divide(#0, 156925)", "gold_inds": {"table_1": "the beginning balance of 2011 is $ 156925 ; the beginning balance of 2010 is $ 218040 ;", "table_8": "the ending balance of 2011 is $ 163607 ; the ending balance of 2010 is $ 156925 ;"}, "exe_ans": 0.04258, "tfidftopn": {"text_1": "accounting for uncertainty in income taxes during fiscal 2011 and 2010 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : beginning balance gross increases in unrecognized tax benefits 2013 prior year tax positions gross decreases in unrecognized tax benefits 2013 prior year tax positions gross increases in unrecognized tax benefits 2013 current year tax positions settlements with taxing authorities lapse of statute of limitations foreign exchange gains and losses ending balance $ 156925 11901 ( 4154 ) 32420 ( 29101 ) ( 3825 ) $ 163607 $ 218040 ( 7104 ) 15108 ( 70484 ) ( 7896 ) $ 156925 as of december 2 , 2011 , the combined amount of accrued interest and penalties related to tax positions taken on our tax returns and included in non-current income taxes payable was approximately $ 12.3 million ."}, "program_re": "divide(subtract(163607, 156925), 156925)", "model_input": [["table_1", "the beginning balance of 2011 is $ 156925 ; the beginning balance of 2010 is $ 218040 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2011 is 11901 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2010 is 9580 ;"], ["table_8", "the ending balance of 2011 is $ 163607 ; the ending balance of 2010 is $ 156925 ;"]]}, "answers": ["4.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000506", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the balance of unrecognized tax benefits during 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "4.3%.", "rejected": "-28.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the growth rate in the balance of unrecognized tax benefits <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the growth rate in the balance of unrecognized tax benefits <TIME>?", "original_question": "what is the growth rate in the balance of unrecognized tax benefits during 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-28.0%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "4.3%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "ADBE/2011/page_101.pdf-3", "qa": {"question": "what is the growth rate in the balance of unrecognized tax benefits during 2011?", "answer": "4.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "163607", "arg2": "156925", "res": "6682"}, {"op": "divide1-2", "arg1": "#0", "arg2": "156925", "res": "4.3%"}], "program": "subtract(163607, 156925), divide(#0, 156925)", "gold_inds": {"table_1": "the beginning balance of 2011 is $ 156925 ; the beginning balance of 2010 is $ 218040 ;", "table_8": "the ending balance of 2011 is $ 163607 ; the ending balance of 2010 is $ 156925 ;"}, "exe_ans": 0.04258, "tfidftopn": {"text_1": "accounting for uncertainty in income taxes during fiscal 2011 and 2010 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : beginning balance gross increases in unrecognized tax benefits 2013 prior year tax positions gross decreases in unrecognized tax benefits 2013 prior year tax positions gross increases in unrecognized tax benefits 2013 current year tax positions settlements with taxing authorities lapse of statute of limitations foreign exchange gains and losses ending balance $ 156925 11901 ( 4154 ) 32420 ( 29101 ) ( 3825 ) $ 163607 $ 218040 ( 7104 ) 15108 ( 70484 ) ( 7896 ) $ 156925 as of december 2 , 2011 , the combined amount of accrued interest and penalties related to tax positions taken on our tax returns and included in non-current income taxes payable was approximately $ 12.3 million ."}, "program_re": "divide(subtract(163607, 156925), 156925)", "model_input": [["table_1", "the beginning balance of 2011 is $ 156925 ; the beginning balance of 2010 is $ 218040 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2011 is 11901 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2010 is 9580 ;"], ["table_8", "the ending balance of 2011 is $ 163607 ; the ending balance of 2010 is $ 156925 ;"]]}, "answers": ["4.3%"]}, "rejected_source": {"id": "ADBE/2011/page_101.pdf-4", "qa": {"question": "what is the growth rate in the balance of unrecognized tax benefits during 2010?", "answer": "-28.0%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "156925", "arg2": "218040", "res": "-61115"}, {"op": "divide2-2", "arg1": "#0", "arg2": "218040", "res": "-28.0%"}], "program": "subtract(156925, 218040), divide(#0, 218040)", "gold_inds": {"table_1": "the beginning balance of 2011 is $ 156925 ; the beginning balance of 2010 is $ 218040 ;", "table_8": "the ending balance of 2011 is $ 163607 ; the ending balance of 2010 is $ 156925 ;"}, "exe_ans": -0.28029, "tfidftopn": {"text_1": "accounting for uncertainty in income taxes during fiscal 2011 and 2010 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : beginning balance gross increases in unrecognized tax benefits 2013 prior year tax positions gross decreases in unrecognized tax benefits 2013 prior year tax positions gross increases in unrecognized tax benefits 2013 current year tax positions settlements with taxing authorities lapse of statute of limitations foreign exchange gains and losses ending balance $ 156925 11901 ( 4154 ) 32420 ( 29101 ) ( 3825 ) $ 163607 $ 218040 ( 7104 ) 15108 ( 70484 ) ( 7896 ) $ 156925 as of december 2 , 2011 , the combined amount of accrued interest and penalties related to tax positions taken on our tax returns and included in non-current income taxes payable was approximately $ 12.3 million ."}, "program_re": "divide(subtract(156925, 218040), 218040)", "model_input": [["table_1", "the beginning balance of 2011 is $ 156925 ; the beginning balance of 2010 is $ 218040 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2011 is 11901 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2010 is 9580 ;"], ["table_8", "the ending balance of 2011 is $ 163607 ; the ending balance of 2010 is $ 156925 ;"]]}, "answers": ["-28.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000507", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were average operating profit for space systems in millions between 2014 and 2016?\nReference time interval: 2014-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1216.", "rejected": "966.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what were average operating profit for space systems in millions <TIME>?", "doc_prefix": "LMT", "base_question": "what were average operating profit for space systems in millions <TIME>?", "original_question": "what were average operating profit for space systems in millions between 2014 and 2016?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2014 and 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"966": [{"start": "2008-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2008 to 2010"}], "1216": [{"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2014 and 2016"}]}, "chosen_source": {"id": "LMT/2016/page_52.pdf-4", "qa": {"question": "what were average operating profit for space systems in millions between 2014 and 2016?", "answer": "1216", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "operating profit", "arg2": "none", "res": "1216"}], "program": "table_average(operating profit, none)", "gold_inds": {"table_2": "the operating profit of 2016 is 1289 ; the operating profit of 2015 is 1171 ; the operating profit of 2014 is 1187 ;"}, "exe_ans": 1215.66667, "tfidftopn": {"text_2": "space systems 2019 operating results included the following ( in millions ) : .", "text_13": "space systems 2019 operating profit in 2015 decreased $ 16 million , or 1% ( 1 % ) , compared to 2014 ."}, "program_re": "table_average(operating profit, none)", "model_input": [["table_1", "the net sales of 2016 is $ 9409 ; the net sales of 2015 is $ 9105 ; the net sales of 2014 is $ 9202 ;"], ["table_2", "the operating profit of 2016 is 1289 ; the operating profit of 2015 is 1171 ; the operating profit of 2014 is 1187 ;"], ["text_6", "space systems 2019 operating profit in 2016 increased $ 118 million , or 10% ( 10 % ) , compared to 2015 ."]]}, "answers": ["1216"]}, "rejected_source": {"id": "LMT/2010/page_39.pdf-3", "qa": {"question": "what were average operating profit for space systems in millions from 2008 to 2010?", "answer": "966", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "operating profit", "arg2": "none", "res": "966"}], "program": "table_average(operating profit, none)", "gold_inds": {"table_2": "( in millions ) the operating profit of 2010 is 972 ; the operating profit of 2009 is 972 ; the operating profit of 2008 is 953 ;"}, "exe_ans": 965.66667, "tfidftopn": {"text_22": "space systems 2019 operating results included the following : ( in millions ) 2010 2009 2008 .", "text_23": "net sales for space systems decreased by 5% ( 5 % ) in 2010 compared to 2009 ."}, "program_re": "table_average(operating profit, none)", "model_input": [["table_1", "( in millions ) the net sales of 2010 is $ 8246 ; the net sales of 2009 is $ 8654 ; the net sales of 2008 is $ 8027 ;"], ["table_2", "( in millions ) the operating profit of 2010 is 972 ; the operating profit of 2009 is 972 ; the operating profit of 2008 is 953 ;"], ["table_3", "( in millions ) the operating margin of 2010 is 11.8% ( 11.8 % ) ; the operating margin of 2009 is 11.2% ( 11.2 % ) ; the operating margin of 2008 is 11.9% ( 11.9 % ) ;"]]}, "answers": ["966"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000508", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were average operating profit for space systems in millions from 2008 to 2010?\nReference time interval: 2008-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "966.", "rejected": "1216.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what were average operating profit for space systems in millions <TIME>?", "doc_prefix": "LMT", "base_question": "what were average operating profit for space systems in millions <TIME>?", "original_question": "what were average operating profit for space systems in millions from 2008 to 2010?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2008 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"966": [{"start": "2008-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2008 to 2010"}], "1216": [{"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2014 and 2016"}]}, "chosen_source": {"id": "LMT/2010/page_39.pdf-3", "qa": {"question": "what were average operating profit for space systems in millions from 2008 to 2010?", "answer": "966", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "operating profit", "arg2": "none", "res": "966"}], "program": "table_average(operating profit, none)", "gold_inds": {"table_2": "( in millions ) the operating profit of 2010 is 972 ; the operating profit of 2009 is 972 ; the operating profit of 2008 is 953 ;"}, "exe_ans": 965.66667, "tfidftopn": {"text_22": "space systems 2019 operating results included the following : ( in millions ) 2010 2009 2008 .", "text_23": "net sales for space systems decreased by 5% ( 5 % ) in 2010 compared to 2009 ."}, "program_re": "table_average(operating profit, none)", "model_input": [["table_1", "( in millions ) the net sales of 2010 is $ 8246 ; the net sales of 2009 is $ 8654 ; the net sales of 2008 is $ 8027 ;"], ["table_2", "( in millions ) the operating profit of 2010 is 972 ; the operating profit of 2009 is 972 ; the operating profit of 2008 is 953 ;"], ["table_3", "( in millions ) the operating margin of 2010 is 11.8% ( 11.8 % ) ; the operating margin of 2009 is 11.2% ( 11.2 % ) ; the operating margin of 2008 is 11.9% ( 11.9 % ) ;"]]}, "answers": ["966"]}, "rejected_source": {"id": "LMT/2016/page_52.pdf-4", "qa": {"question": "what were average operating profit for space systems in millions between 2014 and 2016?", "answer": "1216", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "operating profit", "arg2": "none", "res": "1216"}], "program": "table_average(operating profit, none)", "gold_inds": {"table_2": "the operating profit of 2016 is 1289 ; the operating profit of 2015 is 1171 ; the operating profit of 2014 is 1187 ;"}, "exe_ans": 1215.66667, "tfidftopn": {"text_2": "space systems 2019 operating results included the following ( in millions ) : .", "text_13": "space systems 2019 operating profit in 2015 decreased $ 16 million , or 1% ( 1 % ) , compared to 2014 ."}, "program_re": "table_average(operating profit, none)", "model_input": [["table_1", "the net sales of 2016 is $ 9409 ; the net sales of 2015 is $ 9105 ; the net sales of 2014 is $ 9202 ;"], ["table_2", "the operating profit of 2016 is 1289 ; the operating profit of 2015 is 1171 ; the operating profit of 2014 is 1187 ;"], ["text_6", "space systems 2019 operating profit in 2016 increased $ 118 million , or 10% ( 10 % ) , compared to 2015 ."]]}, "answers": ["1216"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000509", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on masco common stock for the five year period ended 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-48.49%.", "rejected": "129.59%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAS || what was the percentage cumulative total shareholder return on masco common stock for the five year period ended <TIME>?", "doc_prefix": "MAS", "base_question": "what was the percentage cumulative total shareholder return on masco common stock for the five year period ended <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on masco common stock for the five year period ended 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-48.49%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "129.59%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "MAS/2010/page_29.pdf-1", "qa": {"question": "what was the percentage cumulative total shareholder return on masco common stock for the five year period ended 2010?", "answer": "-48.49%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "51.51", "arg2": "100", "res": "-48.49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "-48.49%"}], "program": "subtract(51.51, 100), divide(#0, 100)", "gold_inds": {"table_1": "the masco of 2006 is $ 101.79 ; the masco of 2007 is $ 76.74 ; the masco of 2008 is $ 42.81 ; the masco of 2009 is $ 54.89 ; the masco of 2010 is $ 51.51 ;", "text_1": "the graph assumes investments of $ 100 on december 31 , 2005 in our common stock and in each of the three indices and the reinvestment of dividends ."}, "exe_ans": -0.4849, "tfidftopn": {"text_0": "performance graph the table below compares the cumulative total shareholder return on our common stock with the cumulative total return of ( i ) the standard & poor 2019s 500 composite stock index ( 201cs&p 500 index 201d ) , ( ii ) the standard & poor 2019s industrials index ( 201cs&p industrials index 201d ) and ( iii ) the standard & poor 2019s consumer durables & apparel index ( 201cs&p consumer durables & apparel index 201d ) , from december 31 , 2005 through december 31 , 2010 , when the closing price of our common stock was $ 12.66 ."}, "program_re": "divide(subtract(51.51, 100), 100)", "model_input": [["text_1", "the graph assumes investments of $ 100 on december 31 , 2005 in our common stock and in each of the three indices and the reinvestment of dividends ."], ["text_2", "performance graph 201020092008200720062005 s&p 500 index s&p industrials index s&p consumer durables & apparel index the table below sets forth the value , as of december 31 for each of the years indicated , of a $ 100 investment made on december 31 , 2005 in each of our common stock , the s&p 500 index , the s&p industrials index and the s&p consumer durables & apparel index and includes the reinvestment of dividends. ."], ["table_1", "the masco of 2006 is $ 101.79 ; the masco of 2007 is $ 76.74 ; the masco of 2008 is $ 42.81 ; the masco of 2009 is $ 54.89 ; the masco of 2010 is $ 51.51 ;"]]}, "answers": ["-48.49%"]}, "rejected_source": {"id": "MAS/2013/page_27.pdf-1", "qa": {"question": "what was the percentage cumulative total shareholder return on masco common stock for the five year period ended 2013?", "answer": "129.59%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "229.59", "arg2": "100", "res": "129.59"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "129.59%"}], "program": "subtract(229.59, 100), divide(#0, 100)", "gold_inds": {"table_1": "the masco of 2009 is $ 128.21 ; the masco of 2010 is $ 120.32 ; the masco of 2011 is $ 102.45 ; the masco of 2012 is $ 165.80 ; the masco of 2013 is $ 229.59 ;", "text_1": "the graph assumes investments of $ 100 on december 31 , 2008 in our common stock and in each of the three indices and the reinvestment of dividends ."}, "exe_ans": 1.2959, "tfidftopn": {"text_0": "6feb201418202649 performance graph the table below compares the cumulative total shareholder return on our common stock with the cumulative total return of ( i ) the standard & poor 2019s 500 composite stock index ( 2018 2018s&p 500 index 2019 2019 ) , ( ii ) the standard & poor 2019s industrials index ( 2018 2018s&p industrials index 2019 2019 ) and ( iii ) the standard & poor 2019s consumer durables & apparel index ( 2018 2018s&p consumer durables & apparel index 2019 2019 ) , from december 31 , 2008 through december 31 , 2013 , when the closing price of our common stock was $ 22.77 ."}, "program_re": "divide(subtract(229.59, 100), 100)", "model_input": [["text_1", "the graph assumes investments of $ 100 on december 31 , 2008 in our common stock and in each of the three indices and the reinvestment of dividends ."], ["table_1", "the masco of 2009 is $ 128.21 ; the masco of 2010 is $ 120.32 ; the masco of 2011 is $ 102.45 ; the masco of 2012 is $ 165.80 ; the masco of 2013 is $ 229.59 ;"], ["table_2", "the s&p 500 index of 2009 is $ 125.92 ; the s&p 500 index of 2010 is $ 144.58 ; the s&p 500 index of 2011 is $ 147.60 ; the s&p 500 index of 2012 is $ 171.04 ; the s&p 500 index of 2013 is $ 225.85 ;"]]}, "answers": ["129.59%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000510", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on masco common stock for the five year period ended 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "129.59%.", "rejected": "-48.49%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAS || what was the percentage cumulative total shareholder return on masco common stock for the five year period ended <TIME>?", "doc_prefix": "MAS", "base_question": "what was the percentage cumulative total shareholder return on masco common stock for the five year period ended <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on masco common stock for the five year period ended 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-48.49%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "129.59%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "MAS/2013/page_27.pdf-1", "qa": {"question": "what was the percentage cumulative total shareholder return on masco common stock for the five year period ended 2013?", "answer": "129.59%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "229.59", "arg2": "100", "res": "129.59"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "129.59%"}], "program": "subtract(229.59, 100), divide(#0, 100)", "gold_inds": {"table_1": "the masco of 2009 is $ 128.21 ; the masco of 2010 is $ 120.32 ; the masco of 2011 is $ 102.45 ; the masco of 2012 is $ 165.80 ; the masco of 2013 is $ 229.59 ;", "text_1": "the graph assumes investments of $ 100 on december 31 , 2008 in our common stock and in each of the three indices and the reinvestment of dividends ."}, "exe_ans": 1.2959, "tfidftopn": {"text_0": "6feb201418202649 performance graph the table below compares the cumulative total shareholder return on our common stock with the cumulative total return of ( i ) the standard & poor 2019s 500 composite stock index ( 2018 2018s&p 500 index 2019 2019 ) , ( ii ) the standard & poor 2019s industrials index ( 2018 2018s&p industrials index 2019 2019 ) and ( iii ) the standard & poor 2019s consumer durables & apparel index ( 2018 2018s&p consumer durables & apparel index 2019 2019 ) , from december 31 , 2008 through december 31 , 2013 , when the closing price of our common stock was $ 22.77 ."}, "program_re": "divide(subtract(229.59, 100), 100)", "model_input": [["text_1", "the graph assumes investments of $ 100 on december 31 , 2008 in our common stock and in each of the three indices and the reinvestment of dividends ."], ["table_1", "the masco of 2009 is $ 128.21 ; the masco of 2010 is $ 120.32 ; the masco of 2011 is $ 102.45 ; the masco of 2012 is $ 165.80 ; the masco of 2013 is $ 229.59 ;"], ["table_2", "the s&p 500 index of 2009 is $ 125.92 ; the s&p 500 index of 2010 is $ 144.58 ; the s&p 500 index of 2011 is $ 147.60 ; the s&p 500 index of 2012 is $ 171.04 ; the s&p 500 index of 2013 is $ 225.85 ;"]]}, "answers": ["129.59%"]}, "rejected_source": {"id": "MAS/2010/page_29.pdf-1", "qa": {"question": "what was the percentage cumulative total shareholder return on masco common stock for the five year period ended 2010?", "answer": "-48.49%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "51.51", "arg2": "100", "res": "-48.49"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "-48.49%"}], "program": "subtract(51.51, 100), divide(#0, 100)", "gold_inds": {"table_1": "the masco of 2006 is $ 101.79 ; the masco of 2007 is $ 76.74 ; the masco of 2008 is $ 42.81 ; the masco of 2009 is $ 54.89 ; the masco of 2010 is $ 51.51 ;", "text_1": "the graph assumes investments of $ 100 on december 31 , 2005 in our common stock and in each of the three indices and the reinvestment of dividends ."}, "exe_ans": -0.4849, "tfidftopn": {"text_0": "performance graph the table below compares the cumulative total shareholder return on our common stock with the cumulative total return of ( i ) the standard & poor 2019s 500 composite stock index ( 201cs&p 500 index 201d ) , ( ii ) the standard & poor 2019s industrials index ( 201cs&p industrials index 201d ) and ( iii ) the standard & poor 2019s consumer durables & apparel index ( 201cs&p consumer durables & apparel index 201d ) , from december 31 , 2005 through december 31 , 2010 , when the closing price of our common stock was $ 12.66 ."}, "program_re": "divide(subtract(51.51, 100), 100)", "model_input": [["text_1", "the graph assumes investments of $ 100 on december 31 , 2005 in our common stock and in each of the three indices and the reinvestment of dividends ."], ["text_2", "performance graph 201020092008200720062005 s&p 500 index s&p industrials index s&p consumer durables & apparel index the table below sets forth the value , as of december 31 for each of the years indicated , of a $ 100 investment made on december 31 , 2005 in each of our common stock , the s&p 500 index , the s&p industrials index and the s&p consumer durables & apparel index and includes the reinvestment of dividends. ."], ["table_1", "the masco of 2006 is $ 101.79 ; the masco of 2007 is $ 76.74 ; the masco of 2008 is $ 42.81 ; the masco of 2009 is $ 54.89 ; the masco of 2010 is $ 51.51 ;"]]}, "answers": ["-48.49%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000511", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental expenses from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "17%.", "rejected": "21%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LKQ || what was the percentage change in rental expenses <TIME>?", "doc_prefix": "LKQ", "base_question": "what was the percentage change in rental expenses <TIME>?", "original_question": "what was the percentage change in rental expenses from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "21%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "LKQ/2018/page_102.pdf-1", "qa": {"question": "what was the percentage change in rental expenses from 2016 to 2017?", "answer": "17%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17], "steps": [{"op": "minus1-1", "arg1": "247", "arg2": "212", "res": "35"}, {"op": "divide1-2", "arg1": "#0", "arg2": "212", "res": "17%"}], "program": "subtract(247, 212), divide(#0, 212)", "gold_inds": {"text_17": "rental expense for operating leases was approximately $ 300 million , $ 247 million , and $ 212 million during the years ended december 31 , 2018 , 2017 and 2016 , respectively ."}, "exe_ans": 0.16509, "tfidftopn": {"text_19": "the residual values decline over the lease terms to a defined percentage of original cost .", "text_5": "as of december 31 , 2018 and december 31 , 2017 , the fair values of the u.s ."}, "program_re": "divide(subtract(247, 212), 212)", "model_input": [["text_16", "the future minimum lease commitments under these leases at december 31 , 2018 are as follows ( in thousands ) : years ending december 31: ."], ["table_5", "2019 the thereafter of $ 294269 is 777165 ;"], ["text_17", "rental expense for operating leases was approximately $ 300 million , $ 247 million , and $ 212 million during the years ended december 31 , 2018 , 2017 and 2016 , respectively ."]]}, "answers": ["17%"]}, "rejected_source": {"id": "LKQ/2018/page_102.pdf-2", "qa": {"question": "what was the percentage change in rental expenses from 2017 to 2018?", "answer": "21%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17], "steps": [{"op": "minus2-1", "arg1": "300", "arg2": "247", "res": "53"}, {"op": "divide2-2", "arg1": "#0", "arg2": "247", "res": "21%"}], "program": "subtract(300, 247), divide(#0, 247)", "gold_inds": {"text_17": "rental expense for operating leases was approximately $ 300 million , $ 247 million , and $ 212 million during the years ended december 31 , 2018 , 2017 and 2016 , respectively ."}, "exe_ans": 0.21457, "tfidftopn": {"text_5": "as of december 31 , 2018 and december 31 , 2017 , the fair values of the u.s .", "text_19": "the residual values decline over the lease terms to a defined percentage of original cost ."}, "program_re": "divide(subtract(300, 247), 247)", "model_input": [["text_4", "in addition , based on market conditions , the fair values of the outstanding borrowings under the receivables facility reasonably approximated the carrying values of $ 110 million and $ 100 million at december 31 , 2018 and december 31 , 2017 , respectively ."], ["text_16", "the future minimum lease commitments under these leases at december 31 , 2018 are as follows ( in thousands ) : years ending december 31: ."], ["text_17", "rental expense for operating leases was approximately $ 300 million , $ 247 million , and $ 212 million during the years ended december 31 , 2018 , 2017 and 2016 , respectively ."]]}, "answers": ["21%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000512", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental expenses from 2017 to 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "21%.", "rejected": "17%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LKQ || what was the percentage change in rental expenses <TIME>?", "doc_prefix": "LKQ", "base_question": "what was the percentage change in rental expenses <TIME>?", "original_question": "what was the percentage change in rental expenses from 2017 to 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "21%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "LKQ/2018/page_102.pdf-2", "qa": {"question": "what was the percentage change in rental expenses from 2017 to 2018?", "answer": "21%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17], "steps": [{"op": "minus2-1", "arg1": "300", "arg2": "247", "res": "53"}, {"op": "divide2-2", "arg1": "#0", "arg2": "247", "res": "21%"}], "program": "subtract(300, 247), divide(#0, 247)", "gold_inds": {"text_17": "rental expense for operating leases was approximately $ 300 million , $ 247 million , and $ 212 million during the years ended december 31 , 2018 , 2017 and 2016 , respectively ."}, "exe_ans": 0.21457, "tfidftopn": {"text_5": "as of december 31 , 2018 and december 31 , 2017 , the fair values of the u.s .", "text_19": "the residual values decline over the lease terms to a defined percentage of original cost ."}, "program_re": "divide(subtract(300, 247), 247)", "model_input": [["text_4", "in addition , based on market conditions , the fair values of the outstanding borrowings under the receivables facility reasonably approximated the carrying values of $ 110 million and $ 100 million at december 31 , 2018 and december 31 , 2017 , respectively ."], ["text_16", "the future minimum lease commitments under these leases at december 31 , 2018 are as follows ( in thousands ) : years ending december 31: ."], ["text_17", "rental expense for operating leases was approximately $ 300 million , $ 247 million , and $ 212 million during the years ended december 31 , 2018 , 2017 and 2016 , respectively ."]]}, "answers": ["21%"]}, "rejected_source": {"id": "LKQ/2018/page_102.pdf-1", "qa": {"question": "what was the percentage change in rental expenses from 2016 to 2017?", "answer": "17%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17], "steps": [{"op": "minus1-1", "arg1": "247", "arg2": "212", "res": "35"}, {"op": "divide1-2", "arg1": "#0", "arg2": "212", "res": "17%"}], "program": "subtract(247, 212), divide(#0, 212)", "gold_inds": {"text_17": "rental expense for operating leases was approximately $ 300 million , $ 247 million , and $ 212 million during the years ended december 31 , 2018 , 2017 and 2016 , respectively ."}, "exe_ans": 0.16509, "tfidftopn": {"text_19": "the residual values decline over the lease terms to a defined percentage of original cost .", "text_5": "as of december 31 , 2018 and december 31 , 2017 , the fair values of the u.s ."}, "program_re": "divide(subtract(247, 212), 212)", "model_input": [["text_16", "the future minimum lease commitments under these leases at december 31 , 2018 are as follows ( in thousands ) : years ending december 31: ."], ["table_5", "2019 the thereafter of $ 294269 is 777165 ;"], ["text_17", "rental expense for operating leases was approximately $ 300 million , $ 247 million , and $ 212 million during the years ended december 31 , 2018 , 2017 and 2016 , respectively ."]]}, "answers": ["17%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000513", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-20.7%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2012/page_56.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2011?", "answer": "-20.7%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "17280", "arg2": "21796", "res": "-4516"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21796", "res": "-20.7%"}], "program": "subtract(17280, 21796), divide(#0, 21796)", "gold_inds": {"table_6": "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"}, "exe_ans": -0.20719, "tfidftopn": {"text_7": "in addition , net revenues in credit products and interest rate products were solid and higher compared with 2011 .", "text_8": "these increases were partially offset by significantly lower net revenues in commodities and slightly lower net revenues in currencies ."}, "program_re": "divide(subtract(17280, 21796), 21796)", "model_input": [["table_6", "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"], ["text_2", "includes net revenues related to reinsurance of $ 1.08 billion , $ 880 million and $ 827 million for the years ended december 2012 , december 2011 and december 2010 , respectively ."], ["text_10", "net revenues in equities were $ 8.21 billion for 2012 , essentially unchanged compared with 2011 ."]]}, "answers": ["-20.7%"]}, "rejected_source": {"id": "GS/2017/page_65.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2016?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "30608", "arg2": "33820", "res": "-3212"}, {"op": "divide2-2", "arg1": "#0", "arg2": "33820", "res": "-9.5%"}], "program": "subtract(30608, 33820), divide(#0, 33820)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": -0.09497, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(30608, 33820), 33820)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000514", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-20.7%.", "rejected": "11.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2012/page_56.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2011?", "answer": "-20.7%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "17280", "arg2": "21796", "res": "-4516"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21796", "res": "-20.7%"}], "program": "subtract(17280, 21796), divide(#0, 21796)", "gold_inds": {"table_6": "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"}, "exe_ans": -0.20719, "tfidftopn": {"text_7": "in addition , net revenues in credit products and interest rate products were solid and higher compared with 2011 .", "text_8": "these increases were partially offset by significantly lower net revenues in commodities and slightly lower net revenues in currencies ."}, "program_re": "divide(subtract(17280, 21796), 21796)", "model_input": [["table_6", "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"], ["text_2", "includes net revenues related to reinsurance of $ 1.08 billion , $ 880 million and $ 827 million for the years ended december 2012 , december 2011 and december 2010 , respectively ."], ["text_10", "net revenues in equities were $ 8.21 billion for 2012 , essentially unchanged compared with 2011 ."]]}, "answers": ["-20.7%"]}, "rejected_source": {"id": "GS/2018/page_68.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2018?", "answer": "11.9%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36616", "arg2": "32730", "res": "3886"}, {"op": "divide1-2", "arg1": "#0", "arg2": "32730", "res": "11.9%"}], "program": "subtract(36616, 32730), divide(#0, 32730)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.11873, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(36616, 32730), 32730)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["11.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000515", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-20.7%.", "rejected": "4.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2012/page_56.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2011?", "answer": "-20.7%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "17280", "arg2": "21796", "res": "-4516"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21796", "res": "-20.7%"}], "program": "subtract(17280, 21796), divide(#0, 21796)", "gold_inds": {"table_6": "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"}, "exe_ans": -0.20719, "tfidftopn": {"text_7": "in addition , net revenues in credit products and interest rate products were solid and higher compared with 2011 .", "text_8": "these increases were partially offset by significantly lower net revenues in commodities and slightly lower net revenues in currencies ."}, "program_re": "divide(subtract(17280, 21796), 21796)", "model_input": [["table_6", "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"], ["text_2", "includes net revenues related to reinsurance of $ 1.08 billion , $ 880 million and $ 827 million for the years ended december 2012 , december 2011 and december 2010 , respectively ."], ["text_10", "net revenues in equities were $ 8.21 billion for 2012 , essentially unchanged compared with 2011 ."]]}, "answers": ["-20.7%"]}, "rejected_source": {"id": "GS/2017/page_65.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "4.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "32073", "arg2": "30608", "res": "1465"}, {"op": "divide1-2", "arg1": "#0", "arg2": "30608", "res": "4.8%"}], "program": "subtract(32073, 30608), divide(#0, 30608)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": 0.04786, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(32073, 30608), 30608)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["4.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000516", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-20.7%.", "rejected": "6.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2012/page_56.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2011?", "answer": "-20.7%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "17280", "arg2": "21796", "res": "-4516"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21796", "res": "-20.7%"}], "program": "subtract(17280, 21796), divide(#0, 21796)", "gold_inds": {"table_6": "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"}, "exe_ans": -0.20719, "tfidftopn": {"text_7": "in addition , net revenues in credit products and interest rate products were solid and higher compared with 2011 .", "text_8": "these increases were partially offset by significantly lower net revenues in commodities and slightly lower net revenues in currencies ."}, "program_re": "divide(subtract(17280, 21796), 21796)", "model_input": [["table_6", "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"], ["text_2", "includes net revenues related to reinsurance of $ 1.08 billion , $ 880 million and $ 827 million for the years ended december 2012 , december 2011 and december 2010 , respectively ."], ["text_10", "net revenues in equities were $ 8.21 billion for 2012 , essentially unchanged compared with 2011 ."]]}, "answers": ["-20.7%"]}, "rejected_source": {"id": "GS/2018/page_68.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "6.3%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "32730", "arg2": "30790", "res": "1940"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30790", "res": "6.3%"}], "program": "subtract(32730, 30790), divide(#0, 30790)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.06301, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(32730, 30790), 30790)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["6.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000517", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "-20.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2017/page_65.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2016?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "30608", "arg2": "33820", "res": "-3212"}, {"op": "divide2-2", "arg1": "#0", "arg2": "33820", "res": "-9.5%"}], "program": "subtract(30608, 33820), divide(#0, 33820)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": -0.09497, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(30608, 33820), 33820)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "GS/2012/page_56.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2011?", "answer": "-20.7%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "17280", "arg2": "21796", "res": "-4516"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21796", "res": "-20.7%"}], "program": "subtract(17280, 21796), divide(#0, 21796)", "gold_inds": {"table_6": "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"}, "exe_ans": -0.20719, "tfidftopn": {"text_7": "in addition , net revenues in credit products and interest rate products were solid and higher compared with 2011 .", "text_8": "these increases were partially offset by significantly lower net revenues in commodities and slightly lower net revenues in currencies ."}, "program_re": "divide(subtract(17280, 21796), 21796)", "model_input": [["table_6", "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"], ["text_2", "includes net revenues related to reinsurance of $ 1.08 billion , $ 880 million and $ 827 million for the years ended december 2012 , december 2011 and december 2010 , respectively ."], ["text_10", "net revenues in equities were $ 8.21 billion for 2012 , essentially unchanged compared with 2011 ."]]}, "answers": ["-20.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000518", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "11.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2017/page_65.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2016?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "30608", "arg2": "33820", "res": "-3212"}, {"op": "divide2-2", "arg1": "#0", "arg2": "33820", "res": "-9.5%"}], "program": "subtract(30608, 33820), divide(#0, 33820)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": -0.09497, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(30608, 33820), 33820)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "GS/2018/page_68.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2018?", "answer": "11.9%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36616", "arg2": "32730", "res": "3886"}, {"op": "divide1-2", "arg1": "#0", "arg2": "32730", "res": "11.9%"}], "program": "subtract(36616, 32730), divide(#0, 32730)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.11873, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(36616, 32730), 32730)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["11.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000519", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "4.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2017/page_65.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2016?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "30608", "arg2": "33820", "res": "-3212"}, {"op": "divide2-2", "arg1": "#0", "arg2": "33820", "res": "-9.5%"}], "program": "subtract(30608, 33820), divide(#0, 33820)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": -0.09497, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(30608, 33820), 33820)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "GS/2017/page_65.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "4.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "32073", "arg2": "30608", "res": "1465"}, {"op": "divide1-2", "arg1": "#0", "arg2": "30608", "res": "4.8%"}], "program": "subtract(32073, 30608), divide(#0, 30608)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": 0.04786, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(32073, 30608), 30608)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["4.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000520", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-9.5%.", "rejected": "6.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2017/page_65.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2016?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "30608", "arg2": "33820", "res": "-3212"}, {"op": "divide2-2", "arg1": "#0", "arg2": "33820", "res": "-9.5%"}], "program": "subtract(30608, 33820), divide(#0, 33820)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": -0.09497, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(30608, 33820), 33820)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["-9.5%"]}, "rejected_source": {"id": "GS/2018/page_68.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "6.3%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "32730", "arg2": "30790", "res": "1940"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30790", "res": "6.3%"}], "program": "subtract(32730, 30790), divide(#0, 30790)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.06301, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(32730, 30790), 30790)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["6.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000521", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "11.9%.", "rejected": "-20.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_68.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2018?", "answer": "11.9%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36616", "arg2": "32730", "res": "3886"}, {"op": "divide1-2", "arg1": "#0", "arg2": "32730", "res": "11.9%"}], "program": "subtract(36616, 32730), divide(#0, 32730)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.11873, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(36616, 32730), 32730)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["11.9%"]}, "rejected_source": {"id": "GS/2012/page_56.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2011?", "answer": "-20.7%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "17280", "arg2": "21796", "res": "-4516"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21796", "res": "-20.7%"}], "program": "subtract(17280, 21796), divide(#0, 21796)", "gold_inds": {"table_6": "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"}, "exe_ans": -0.20719, "tfidftopn": {"text_7": "in addition , net revenues in credit products and interest rate products were solid and higher compared with 2011 .", "text_8": "these increases were partially offset by significantly lower net revenues in commodities and slightly lower net revenues in currencies ."}, "program_re": "divide(subtract(17280, 21796), 21796)", "model_input": [["table_6", "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"], ["text_2", "includes net revenues related to reinsurance of $ 1.08 billion , $ 880 million and $ 827 million for the years ended december 2012 , december 2011 and december 2010 , respectively ."], ["text_10", "net revenues in equities were $ 8.21 billion for 2012 , essentially unchanged compared with 2011 ."]]}, "answers": ["-20.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000522", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "11.9%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_68.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2018?", "answer": "11.9%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36616", "arg2": "32730", "res": "3886"}, {"op": "divide1-2", "arg1": "#0", "arg2": "32730", "res": "11.9%"}], "program": "subtract(36616, 32730), divide(#0, 32730)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.11873, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(36616, 32730), 32730)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["11.9%"]}, "rejected_source": {"id": "GS/2017/page_65.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2016?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "30608", "arg2": "33820", "res": "-3212"}, {"op": "divide2-2", "arg1": "#0", "arg2": "33820", "res": "-9.5%"}], "program": "subtract(30608, 33820), divide(#0, 33820)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": -0.09497, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(30608, 33820), 33820)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000523", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "11.9%.", "rejected": "4.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_68.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2018?", "answer": "11.9%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36616", "arg2": "32730", "res": "3886"}, {"op": "divide1-2", "arg1": "#0", "arg2": "32730", "res": "11.9%"}], "program": "subtract(36616, 32730), divide(#0, 32730)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.11873, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(36616, 32730), 32730)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["11.9%"]}, "rejected_source": {"id": "GS/2017/page_65.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "4.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "32073", "arg2": "30608", "res": "1465"}, {"op": "divide1-2", "arg1": "#0", "arg2": "30608", "res": "4.8%"}], "program": "subtract(32073, 30608), divide(#0, 30608)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": 0.04786, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(32073, 30608), 30608)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["4.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000524", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "11.9%.", "rejected": "6.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_68.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2018?", "answer": "11.9%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36616", "arg2": "32730", "res": "3886"}, {"op": "divide1-2", "arg1": "#0", "arg2": "32730", "res": "11.9%"}], "program": "subtract(36616, 32730), divide(#0, 32730)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.11873, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(36616, 32730), 32730)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["11.9%"]}, "rejected_source": {"id": "GS/2018/page_68.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "6.3%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "32730", "arg2": "30790", "res": "1940"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30790", "res": "6.3%"}], "program": "subtract(32730, 30790), divide(#0, 30790)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.06301, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(32730, 30790), 30790)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["6.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000525", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.8%.", "rejected": "-20.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2017/page_65.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "4.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "32073", "arg2": "30608", "res": "1465"}, {"op": "divide1-2", "arg1": "#0", "arg2": "30608", "res": "4.8%"}], "program": "subtract(32073, 30608), divide(#0, 30608)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": 0.04786, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(32073, 30608), 30608)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["4.8%"]}, "rejected_source": {"id": "GS/2012/page_56.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2011?", "answer": "-20.7%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "17280", "arg2": "21796", "res": "-4516"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21796", "res": "-20.7%"}], "program": "subtract(17280, 21796), divide(#0, 21796)", "gold_inds": {"table_6": "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"}, "exe_ans": -0.20719, "tfidftopn": {"text_7": "in addition , net revenues in credit products and interest rate products were solid and higher compared with 2011 .", "text_8": "these increases were partially offset by significantly lower net revenues in commodities and slightly lower net revenues in currencies ."}, "program_re": "divide(subtract(17280, 21796), 21796)", "model_input": [["table_6", "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"], ["text_2", "includes net revenues related to reinsurance of $ 1.08 billion , $ 880 million and $ 827 million for the years ended december 2012 , december 2011 and december 2010 , respectively ."], ["text_10", "net revenues in equities were $ 8.21 billion for 2012 , essentially unchanged compared with 2011 ."]]}, "answers": ["-20.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000526", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.8%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2017/page_65.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "4.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "32073", "arg2": "30608", "res": "1465"}, {"op": "divide1-2", "arg1": "#0", "arg2": "30608", "res": "4.8%"}], "program": "subtract(32073, 30608), divide(#0, 30608)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": 0.04786, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(32073, 30608), 30608)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["4.8%"]}, "rejected_source": {"id": "GS/2017/page_65.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2016?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "30608", "arg2": "33820", "res": "-3212"}, {"op": "divide2-2", "arg1": "#0", "arg2": "33820", "res": "-9.5%"}], "program": "subtract(30608, 33820), divide(#0, 33820)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": -0.09497, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(30608, 33820), 33820)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000527", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.8%.", "rejected": "11.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2017/page_65.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "4.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "32073", "arg2": "30608", "res": "1465"}, {"op": "divide1-2", "arg1": "#0", "arg2": "30608", "res": "4.8%"}], "program": "subtract(32073, 30608), divide(#0, 30608)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": 0.04786, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(32073, 30608), 30608)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["4.8%"]}, "rejected_source": {"id": "GS/2018/page_68.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2018?", "answer": "11.9%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36616", "arg2": "32730", "res": "3886"}, {"op": "divide1-2", "arg1": "#0", "arg2": "32730", "res": "11.9%"}], "program": "subtract(36616, 32730), divide(#0, 32730)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.11873, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(36616, 32730), 32730)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["11.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000528", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "4.8%.", "rejected": "6.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2017/page_65.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "4.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "32073", "arg2": "30608", "res": "1465"}, {"op": "divide1-2", "arg1": "#0", "arg2": "30608", "res": "4.8%"}], "program": "subtract(32073, 30608), divide(#0, 30608)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": 0.04786, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(32073, 30608), 30608)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["4.8%"]}, "rejected_source": {"id": "GS/2018/page_68.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "6.3%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "32730", "arg2": "30790", "res": "1940"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30790", "res": "6.3%"}], "program": "subtract(32730, 30790), divide(#0, 30790)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.06301, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(32730, 30790), 30790)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["6.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000529", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "6.3%.", "rejected": "-20.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_68.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "6.3%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "32730", "arg2": "30790", "res": "1940"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30790", "res": "6.3%"}], "program": "subtract(32730, 30790), divide(#0, 30790)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.06301, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(32730, 30790), 30790)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["6.3%"]}, "rejected_source": {"id": "GS/2012/page_56.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2011?", "answer": "-20.7%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "17280", "arg2": "21796", "res": "-4516"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21796", "res": "-20.7%"}], "program": "subtract(17280, 21796), divide(#0, 21796)", "gold_inds": {"table_6": "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"}, "exe_ans": -0.20719, "tfidftopn": {"text_7": "in addition , net revenues in credit products and interest rate products were solid and higher compared with 2011 .", "text_8": "these increases were partially offset by significantly lower net revenues in commodities and slightly lower net revenues in currencies ."}, "program_re": "divide(subtract(17280, 21796), 21796)", "model_input": [["table_6", "in millions the total net revenues of year ended december 2012 is 18124 ; the total net revenues of year ended december 2011 is 17280 ; the total net revenues of year ended december 2010 is 21796 ;"], ["text_2", "includes net revenues related to reinsurance of $ 1.08 billion , $ 880 million and $ 827 million for the years ended december 2012 , december 2011 and december 2010 , respectively ."], ["text_10", "net revenues in equities were $ 8.21 billion for 2012 , essentially unchanged compared with 2011 ."]]}, "answers": ["-20.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000530", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "6.3%.", "rejected": "-9.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_68.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "6.3%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "32730", "arg2": "30790", "res": "1940"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30790", "res": "6.3%"}], "program": "subtract(32730, 30790), divide(#0, 30790)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.06301, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(32730, 30790), 30790)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["6.3%"]}, "rejected_source": {"id": "GS/2017/page_65.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2016?", "answer": "-9.5%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "30608", "arg2": "33820", "res": "-3212"}, {"op": "divide2-2", "arg1": "#0", "arg2": "33820", "res": "-9.5%"}], "program": "subtract(30608, 33820), divide(#0, 33820)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": -0.09497, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(30608, 33820), 33820)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["-9.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000531", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "6.3%.", "rejected": "11.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_68.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "6.3%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "32730", "arg2": "30790", "res": "1940"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30790", "res": "6.3%"}], "program": "subtract(32730, 30790), divide(#0, 30790)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.06301, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(32730, 30790), 30790)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["6.3%"]}, "rejected_source": {"id": "GS/2018/page_68.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2018?", "answer": "11.9%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36616", "arg2": "32730", "res": "3886"}, {"op": "divide1-2", "arg1": "#0", "arg2": "32730", "res": "11.9%"}], "program": "subtract(36616, 32730), divide(#0, 32730)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.11873, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(36616, 32730), 32730)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["11.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000532", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenues in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "6.3%.", "rejected": "4.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in net revenues <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in net revenues <TIME>?", "original_question": "what is the growth rate in net revenues in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-9.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "6.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "4.8%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "11.9%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_68.pdf-2", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "6.3%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "32730", "arg2": "30790", "res": "1940"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30790", "res": "6.3%"}], "program": "subtract(32730, 30790), divide(#0, 30790)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"}, "exe_ans": 0.06301, "tfidftopn": {"text_24": "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues .", "text_1": "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."}, "program_re": "divide(subtract(32730, 30790), 30790)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents net revenues by line item. ."], ["table_10", "$ in millions the total net revenues of year ended december 2018 is $ 36616 ; the total net revenues of year ended december 2017 is $ 32730 ; the total net revenues of year ended december 2016 is $ 30790 ;"], ["text_24", "2018 versus 2017 net revenues in the consolidated statements of earnings were $ 36.62 billion for 2018 , 12% ( 12 % ) higher than 2017 , primarily due to significantly higher market making revenues and net interest income , as well as higher investment management revenues and investment banking revenues ."]]}, "answers": ["6.3%"]}, "rejected_source": {"id": "GS/2017/page_65.pdf-1", "qa": {"question": "what is the growth rate in net revenues in 2017?", "answer": "4.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "32073", "arg2": "30608", "res": "1465"}, {"op": "divide1-2", "arg1": "#0", "arg2": "30608", "res": "4.8%"}], "program": "subtract(32073, 30608), divide(#0, 30608)", "gold_inds": {"table_10": "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"}, "exe_ans": 0.04786, "tfidftopn": {"text_23": "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income .", "text_8": "2030 market making consists of revenues ( excluding net interest ) from client execution activities related to making markets in interest rate products , credit products , mortgages , currencies , commodities and equity products ."}, "program_re": "divide(subtract(32073, 30608), 30608)", "model_input": [["text_1", "and subsidiaries management 2019s discussion and analysis net revenues the table below presents our net revenues by line item in the consolidated statements of earnings. ."], ["table_10", "$ in millions the total net revenues of year ended december 2017 is $ 32073 ; the total net revenues of year ended december 2016 is $ 30608 ; the total net revenues of year ended december 2015 is $ 33820 ;"], ["text_23", "2017 versus 2016 net revenues in the consolidated statements of earnings were $ 32.07 billion for 2017 , 5% ( 5 % ) higher than 2016 , due to significantly higher other principal transactions revenues , and higher investment banking revenues , investment management revenues and net interest income ."]]}, "answers": ["4.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000533", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of allowance for doubtful accounts during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-2.", "rejected": "-7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ECL || what is the net change in the balance of allowance for doubtful accounts <TIME>?", "doc_prefix": "ECL", "base_question": "what is the net change in the balance of allowance for doubtful accounts <TIME>?", "original_question": "what is the net change in the balance of allowance for doubtful accounts during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}, {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-7": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "3.9": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ECL/2016/page_64.pdf-4", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts during 2015?", "answer": "-2", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "75", "arg2": "77", "res": "-2"}], "program": "subtract(75, 77)", "gold_inds": {"table_1": "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;", "table_5": "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"}, "exe_ans": -2.0, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest ."}, "program_re": "subtract(75, 77)", "model_input": [["table_1", "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;"], ["table_2", "( millions ) the bad debt expense of 2016 is 20 ; the bad debt expense of 2015 is 26 ; the bad debt expense of 2014 is 23 ;"], ["table_5", "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"]]}, "answers": ["-2"]}, "rejected_source": {"id": "ECL/2016/page_64.pdf-1", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts during 2016?", "answer": "-7", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "68", "arg2": "75", "res": "-7"}], "program": "subtract(68, 75)", "gold_inds": {"table_1": "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;", "table_5": "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"}, "exe_ans": -7.0, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest ."}, "program_re": "subtract(68, 75)", "model_input": [["table_1", "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;"], ["table_2", "( millions ) the bad debt expense of 2016 is 20 ; the bad debt expense of 2015 is 26 ; the bad debt expense of 2014 is 23 ;"], ["table_5", "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"]]}, "answers": ["-7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000534", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of allowance for doubtful accounts during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-2.", "rejected": "3.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ECL || what is the net change in the balance of allowance for doubtful accounts <TIME>?", "doc_prefix": "ECL", "base_question": "what is the net change in the balance of allowance for doubtful accounts <TIME>?", "original_question": "what is the net change in the balance of allowance for doubtful accounts during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}, {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-7": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "3.9": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ECL/2016/page_64.pdf-4", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts during 2015?", "answer": "-2", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "75", "arg2": "77", "res": "-2"}], "program": "subtract(75, 77)", "gold_inds": {"table_1": "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;", "table_5": "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"}, "exe_ans": -2.0, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest ."}, "program_re": "subtract(75, 77)", "model_input": [["table_1", "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;"], ["table_2", "( millions ) the bad debt expense of 2016 is 20 ; the bad debt expense of 2015 is 26 ; the bad debt expense of 2014 is 23 ;"], ["table_5", "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"]]}, "answers": ["-2"]}, "rejected_source": {"id": "ECL/2017/page_68.pdf-1", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts from 2016 to 2017?", "answer": "3.9", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "71.5", "arg2": "67.6", "res": "3.9"}], "program": "subtract(71.5, 67.6)", "gold_inds": {"table_5": "( millions ) the ending balance of 2017 is $ 71.5 ; the ending balance of 2016 is $ 67.6 ; the ending balance of 2015 is $ 75.3 ;"}, "exe_ans": 3.9, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest .", "text_2": "the company estimates the balance of allowance for doubtful accounts by analyzing accounts receivable balances by age and applying historical write-off and collection trend rates ."}, "program_re": "subtract(71.5, 67.6)", "model_input": [["table_1", "( millions ) the beginning balance of 2017 is $ 67.6 ; the beginning balance of 2016 is $ 75.3 ; the beginning balance of 2015 is $ 77.5 ;"], ["table_2", "( millions ) the bad debt expense of 2017 is 17.1 ; the bad debt expense of 2016 is 20.1 ; the bad debt expense of 2015 is 25.8 ;"], ["table_5", "( millions ) the ending balance of 2017 is $ 71.5 ; the ending balance of 2016 is $ 67.6 ; the ending balance of 2015 is $ 75.3 ;"]]}, "answers": ["3.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000535", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of allowance for doubtful accounts during 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.", "rejected": "-2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ECL || what is the net change in the balance of allowance for doubtful accounts <TIME>?", "doc_prefix": "ECL", "base_question": "what is the net change in the balance of allowance for doubtful accounts <TIME>?", "original_question": "what is the net change in the balance of allowance for doubtful accounts during 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}, {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-7": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "3.9": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ECL/2016/page_64.pdf-1", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts during 2016?", "answer": "-7", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "68", "arg2": "75", "res": "-7"}], "program": "subtract(68, 75)", "gold_inds": {"table_1": "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;", "table_5": "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"}, "exe_ans": -7.0, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest ."}, "program_re": "subtract(68, 75)", "model_input": [["table_1", "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;"], ["table_2", "( millions ) the bad debt expense of 2016 is 20 ; the bad debt expense of 2015 is 26 ; the bad debt expense of 2014 is 23 ;"], ["table_5", "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"]]}, "answers": ["-7"]}, "rejected_source": {"id": "ECL/2016/page_64.pdf-4", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts during 2015?", "answer": "-2", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "75", "arg2": "77", "res": "-2"}], "program": "subtract(75, 77)", "gold_inds": {"table_1": "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;", "table_5": "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"}, "exe_ans": -2.0, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest ."}, "program_re": "subtract(75, 77)", "model_input": [["table_1", "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;"], ["table_2", "( millions ) the bad debt expense of 2016 is 20 ; the bad debt expense of 2015 is 26 ; the bad debt expense of 2014 is 23 ;"], ["table_5", "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"]]}, "answers": ["-2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000536", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of allowance for doubtful accounts during 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-7.", "rejected": "3.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ECL || what is the net change in the balance of allowance for doubtful accounts <TIME>?", "doc_prefix": "ECL", "base_question": "what is the net change in the balance of allowance for doubtful accounts <TIME>?", "original_question": "what is the net change in the balance of allowance for doubtful accounts during 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}, {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-7": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "3.9": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ECL/2016/page_64.pdf-1", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts during 2016?", "answer": "-7", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "68", "arg2": "75", "res": "-7"}], "program": "subtract(68, 75)", "gold_inds": {"table_1": "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;", "table_5": "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"}, "exe_ans": -7.0, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest ."}, "program_re": "subtract(68, 75)", "model_input": [["table_1", "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;"], ["table_2", "( millions ) the bad debt expense of 2016 is 20 ; the bad debt expense of 2015 is 26 ; the bad debt expense of 2014 is 23 ;"], ["table_5", "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"]]}, "answers": ["-7"]}, "rejected_source": {"id": "ECL/2017/page_68.pdf-1", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts from 2016 to 2017?", "answer": "3.9", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "71.5", "arg2": "67.6", "res": "3.9"}], "program": "subtract(71.5, 67.6)", "gold_inds": {"table_5": "( millions ) the ending balance of 2017 is $ 71.5 ; the ending balance of 2016 is $ 67.6 ; the ending balance of 2015 is $ 75.3 ;"}, "exe_ans": 3.9, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest .", "text_2": "the company estimates the balance of allowance for doubtful accounts by analyzing accounts receivable balances by age and applying historical write-off and collection trend rates ."}, "program_re": "subtract(71.5, 67.6)", "model_input": [["table_1", "( millions ) the beginning balance of 2017 is $ 67.6 ; the beginning balance of 2016 is $ 75.3 ; the beginning balance of 2015 is $ 77.5 ;"], ["table_2", "( millions ) the bad debt expense of 2017 is 17.1 ; the bad debt expense of 2016 is 20.1 ; the bad debt expense of 2015 is 25.8 ;"], ["table_5", "( millions ) the ending balance of 2017 is $ 71.5 ; the ending balance of 2016 is $ 67.6 ; the ending balance of 2015 is $ 75.3 ;"]]}, "answers": ["3.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000537", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of allowance for doubtful accounts from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "3.9.", "rejected": "-2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ECL || what is the net change in the balance of allowance for doubtful accounts <TIME>?", "doc_prefix": "ECL", "base_question": "what is the net change in the balance of allowance for doubtful accounts <TIME>?", "original_question": "what is the net change in the balance of allowance for doubtful accounts from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}, {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-7": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "3.9": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ECL/2017/page_68.pdf-1", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts from 2016 to 2017?", "answer": "3.9", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "71.5", "arg2": "67.6", "res": "3.9"}], "program": "subtract(71.5, 67.6)", "gold_inds": {"table_5": "( millions ) the ending balance of 2017 is $ 71.5 ; the ending balance of 2016 is $ 67.6 ; the ending balance of 2015 is $ 75.3 ;"}, "exe_ans": 3.9, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest .", "text_2": "the company estimates the balance of allowance for doubtful accounts by analyzing accounts receivable balances by age and applying historical write-off and collection trend rates ."}, "program_re": "subtract(71.5, 67.6)", "model_input": [["table_1", "( millions ) the beginning balance of 2017 is $ 67.6 ; the beginning balance of 2016 is $ 75.3 ; the beginning balance of 2015 is $ 77.5 ;"], ["table_2", "( millions ) the bad debt expense of 2017 is 17.1 ; the bad debt expense of 2016 is 20.1 ; the bad debt expense of 2015 is 25.8 ;"], ["table_5", "( millions ) the ending balance of 2017 is $ 71.5 ; the ending balance of 2016 is $ 67.6 ; the ending balance of 2015 is $ 75.3 ;"]]}, "answers": ["3.9"]}, "rejected_source": {"id": "ECL/2016/page_64.pdf-4", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts during 2015?", "answer": "-2", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "75", "arg2": "77", "res": "-2"}], "program": "subtract(75, 77)", "gold_inds": {"table_1": "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;", "table_5": "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"}, "exe_ans": -2.0, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest ."}, "program_re": "subtract(75, 77)", "model_input": [["table_1", "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;"], ["table_2", "( millions ) the bad debt expense of 2016 is 20 ; the bad debt expense of 2015 is 26 ; the bad debt expense of 2014 is 23 ;"], ["table_5", "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"]]}, "answers": ["-2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000538", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of allowance for doubtful accounts from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "3.9.", "rejected": "-7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ECL || what is the net change in the balance of allowance for doubtful accounts <TIME>?", "doc_prefix": "ECL", "base_question": "what is the net change in the balance of allowance for doubtful accounts <TIME>?", "original_question": "what is the net change in the balance of allowance for doubtful accounts from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}, {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-7": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "3.9": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ECL/2017/page_68.pdf-1", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts from 2016 to 2017?", "answer": "3.9", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "71.5", "arg2": "67.6", "res": "3.9"}], "program": "subtract(71.5, 67.6)", "gold_inds": {"table_5": "( millions ) the ending balance of 2017 is $ 71.5 ; the ending balance of 2016 is $ 67.6 ; the ending balance of 2015 is $ 75.3 ;"}, "exe_ans": 3.9, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest .", "text_2": "the company estimates the balance of allowance for doubtful accounts by analyzing accounts receivable balances by age and applying historical write-off and collection trend rates ."}, "program_re": "subtract(71.5, 67.6)", "model_input": [["table_1", "( millions ) the beginning balance of 2017 is $ 67.6 ; the beginning balance of 2016 is $ 75.3 ; the beginning balance of 2015 is $ 77.5 ;"], ["table_2", "( millions ) the bad debt expense of 2017 is 17.1 ; the bad debt expense of 2016 is 20.1 ; the bad debt expense of 2015 is 25.8 ;"], ["table_5", "( millions ) the ending balance of 2017 is $ 71.5 ; the ending balance of 2016 is $ 67.6 ; the ending balance of 2015 is $ 75.3 ;"]]}, "answers": ["3.9"]}, "rejected_source": {"id": "ECL/2016/page_64.pdf-1", "qa": {"question": "what is the net change in the balance of allowance for doubtful accounts during 2016?", "answer": "-7", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "68", "arg2": "75", "res": "-7"}], "program": "subtract(68, 75)", "gold_inds": {"table_1": "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;", "table_5": "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"}, "exe_ans": -7.0, "tfidftopn": {"text_1": "accounts receivable and allowance for doubtful accounts accounts receivable are carried at the invoiced amounts , less an allowance for doubtful accounts , and generally do not bear interest ."}, "program_re": "subtract(68, 75)", "model_input": [["table_1", "( millions ) the beginning balance of 2016 is $ 75 ; the beginning balance of 2015 is $ 77 ; the beginning balance of 2014 is $ 81 ;"], ["table_2", "( millions ) the bad debt expense of 2016 is 20 ; the bad debt expense of 2015 is 26 ; the bad debt expense of 2014 is 23 ;"], ["table_5", "( millions ) the ending balance of 2016 is $ 68 ; the ending balance of 2015 is $ 75 ; the ending balance of 2014 is $ 77 ;"]]}, "answers": ["-7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000539", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage where north american consumer packaging net sales of total consumer packaging sales in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "63%.", "rejected": "67%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage where north american consumer packaging net sales of total consumer packaging sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage where north american consumer packaging net sales of total consumer packaging sales <TIME>?", "original_question": "what percentage where north american consumer packaging net sales of total consumer packaging sales in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"67%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "63%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "IP/2012/page_57.pdf-1", "qa": {"question": "what percentage where north american consumer packaging net sales of total consumer packaging sales in 2012?", "answer": "63%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [37], "steps": [{"op": "multiply1-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3170", "res": "63%"}], "program": "multiply(const_2, const_1000), divide(#0, 3170)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ; the sales of 2010 is $ 3400 ;", "text_37": "north american consumer packaging net sales were $ 2.0 billion in 2012 compared with $ 2.5 billion in 2011 and $ 2.4 billion in 2010 ."}, "exe_ans": 0.63091, "tfidftopn": {"text_36": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3170)", "model_input": [["text_10", "net sales were $ 185 million in 2012 and $ 35 million in 2011 ."], ["table_1", "in millions the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ; the sales of 2010 is $ 3400 ;"], ["text_37", "north american consumer packaging net sales were $ 2.0 billion in 2012 compared with $ 2.5 billion in 2011 and $ 2.4 billion in 2010 ."]]}, "answers": ["63%"]}, "rejected_source": {"id": "IP/2012/page_57.pdf-2", "qa": {"question": "what percentage where north american consumer packaging net sales of total consumer packaging sales in 2011?", "answer": "67%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [37], "steps": [{"op": "multiply2-1", "arg1": "2.5", "arg2": "const_1000", "res": "2500"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3710", "res": "67%"}], "program": "multiply(2.5, const_1000), divide(#0, 3710)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ; the sales of 2010 is $ 3400 ;", "text_37": "north american consumer packaging net sales were $ 2.0 billion in 2012 compared with $ 2.5 billion in 2011 and $ 2.4 billion in 2010 ."}, "exe_ans": 0.67385, "tfidftopn": {"text_36": "consumer packaging ."}, "program_re": "divide(multiply(2.5, const_1000), 3710)", "model_input": [["text_10", "net sales were $ 185 million in 2012 and $ 35 million in 2011 ."], ["table_1", "in millions the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ; the sales of 2010 is $ 3400 ;"], ["text_37", "north american consumer packaging net sales were $ 2.0 billion in 2012 compared with $ 2.5 billion in 2011 and $ 2.4 billion in 2010 ."]]}, "answers": ["67%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000540", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage where north american consumer packaging net sales of total consumer packaging sales in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "67%.", "rejected": "63%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage where north american consumer packaging net sales of total consumer packaging sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage where north american consumer packaging net sales of total consumer packaging sales <TIME>?", "original_question": "what percentage where north american consumer packaging net sales of total consumer packaging sales in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"67%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "63%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "IP/2012/page_57.pdf-2", "qa": {"question": "what percentage where north american consumer packaging net sales of total consumer packaging sales in 2011?", "answer": "67%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [37], "steps": [{"op": "multiply2-1", "arg1": "2.5", "arg2": "const_1000", "res": "2500"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3710", "res": "67%"}], "program": "multiply(2.5, const_1000), divide(#0, 3710)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ; the sales of 2010 is $ 3400 ;", "text_37": "north american consumer packaging net sales were $ 2.0 billion in 2012 compared with $ 2.5 billion in 2011 and $ 2.4 billion in 2010 ."}, "exe_ans": 0.67385, "tfidftopn": {"text_36": "consumer packaging ."}, "program_re": "divide(multiply(2.5, const_1000), 3710)", "model_input": [["text_10", "net sales were $ 185 million in 2012 and $ 35 million in 2011 ."], ["table_1", "in millions the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ; the sales of 2010 is $ 3400 ;"], ["text_37", "north american consumer packaging net sales were $ 2.0 billion in 2012 compared with $ 2.5 billion in 2011 and $ 2.4 billion in 2010 ."]]}, "answers": ["67%"]}, "rejected_source": {"id": "IP/2012/page_57.pdf-1", "qa": {"question": "what percentage where north american consumer packaging net sales of total consumer packaging sales in 2012?", "answer": "63%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [37], "steps": [{"op": "multiply1-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3170", "res": "63%"}], "program": "multiply(const_2, const_1000), divide(#0, 3170)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ; the sales of 2010 is $ 3400 ;", "text_37": "north american consumer packaging net sales were $ 2.0 billion in 2012 compared with $ 2.5 billion in 2011 and $ 2.4 billion in 2010 ."}, "exe_ans": 0.63091, "tfidftopn": {"text_36": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3170)", "model_input": [["text_10", "net sales were $ 185 million in 2012 and $ 35 million in 2011 ."], ["table_1", "in millions the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ; the sales of 2010 is $ 3400 ;"], ["text_37", "north american consumer packaging net sales were $ 2.0 billion in 2012 compared with $ 2.5 billion in 2011 and $ 2.4 billion in 2010 ."]]}, "answers": ["63%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000541", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change of unrecognized tax benefits at year end between 2016 and 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-1%.", "rejected": "33%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the percentage change of unrecognized tax benefits at year end <TIME>?", "doc_prefix": "AES", "base_question": "what was the percentage change of unrecognized tax benefits at year end <TIME>?", "original_question": "what was the percentage change of unrecognized tax benefits at year end between 2016 and 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "AES/2018/page_168.pdf-1", "qa": {"question": "what was the percentage change of unrecognized tax benefits at year end between 2016 and 2017?", "answer": "-1%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "348", "arg2": "352", "res": "-4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "352", "res": "-1%"}], "program": "subtract(348, 352), divide(#0, 352)", "gold_inds": {"table_7": "the balance at december 31 of 2018 is $ 463 ; the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ;"}, "exe_ans": -0.01136, "tfidftopn": {"table_2": "The additions for current year tax positions of 2018 is 2 ; The additions for current year tax positions of 2017 is 2014 ; The additions for current year tax positions of 2016 is 2 ;", "text_4": "however , audit outcomes and the timing of audit settlements and future events that would impact our previously recorded unrecognized tax benefits and the range of anticipated increases or decreases in unrecognized tax benefits are subject to significant uncertainty ."}, "program_re": "divide(subtract(348, 352), 352)", "model_input": [["text_0", "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2018 , 2017 , and 2016 the following is a reconciliation of the beginning and ending amounts of unrecognized tax benefits for the periods indicated ( in millions ) : ."], ["table_1", "the balance at january 1 of 2018 is $ 348 ; the balance at january 1 of 2017 is $ 352 ; the balance at january 1 of 2016 is $ 364 ;"], ["table_7", "the balance at december 31 of 2018 is $ 463 ; the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ;"]]}, "answers": ["-1%"]}, "rejected_source": {"id": "AES/2018/page_168.pdf-3", "qa": {"question": "what was the percentage change of unrecognized tax benefits at year end between 2017 and 2018?", "answer": "33%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "463", "arg2": "348", "res": "115"}, {"op": "divide2-2", "arg1": "#0", "arg2": "348", "res": "33%"}], "program": "subtract(463, 348), divide(#0, 348)", "gold_inds": {"table_7": "the balance at december 31 of 2018 is $ 463 ; the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ;"}, "exe_ans": 0.33046, "tfidftopn": {"table_2": "The additions for current year tax positions of 2018 is 2 ; The additions for current year tax positions of 2017 is 2014 ; The additions for current year tax positions of 2016 is 2 ;", "text_4": "however , audit outcomes and the timing of audit settlements and future events that would impact our previously recorded unrecognized tax benefits and the range of anticipated increases or decreases in unrecognized tax benefits are subject to significant uncertainty ."}, "program_re": "divide(subtract(463, 348), 348)", "model_input": [["text_0", "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2018 , 2017 , and 2016 the following is a reconciliation of the beginning and ending amounts of unrecognized tax benefits for the periods indicated ( in millions ) : ."], ["table_1", "the balance at january 1 of 2018 is $ 348 ; the balance at january 1 of 2017 is $ 352 ; the balance at january 1 of 2016 is $ 364 ;"], ["table_7", "the balance at december 31 of 2018 is $ 463 ; the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ;"]]}, "answers": ["33%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000542", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change of unrecognized tax benefits at year end between 2017 and 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "33%.", "rejected": "-1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the percentage change of unrecognized tax benefits at year end <TIME>?", "doc_prefix": "AES", "base_question": "what was the percentage change of unrecognized tax benefits at year end <TIME>?", "original_question": "what was the percentage change of unrecognized tax benefits at year end between 2017 and 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "AES/2018/page_168.pdf-3", "qa": {"question": "what was the percentage change of unrecognized tax benefits at year end between 2017 and 2018?", "answer": "33%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "463", "arg2": "348", "res": "115"}, {"op": "divide2-2", "arg1": "#0", "arg2": "348", "res": "33%"}], "program": "subtract(463, 348), divide(#0, 348)", "gold_inds": {"table_7": "the balance at december 31 of 2018 is $ 463 ; the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ;"}, "exe_ans": 0.33046, "tfidftopn": {"table_2": "The additions for current year tax positions of 2018 is 2 ; The additions for current year tax positions of 2017 is 2014 ; The additions for current year tax positions of 2016 is 2 ;", "text_4": "however , audit outcomes and the timing of audit settlements and future events that would impact our previously recorded unrecognized tax benefits and the range of anticipated increases or decreases in unrecognized tax benefits are subject to significant uncertainty ."}, "program_re": "divide(subtract(463, 348), 348)", "model_input": [["text_0", "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2018 , 2017 , and 2016 the following is a reconciliation of the beginning and ending amounts of unrecognized tax benefits for the periods indicated ( in millions ) : ."], ["table_1", "the balance at january 1 of 2018 is $ 348 ; the balance at january 1 of 2017 is $ 352 ; the balance at january 1 of 2016 is $ 364 ;"], ["table_7", "the balance at december 31 of 2018 is $ 463 ; the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ;"]]}, "answers": ["33%"]}, "rejected_source": {"id": "AES/2018/page_168.pdf-1", "qa": {"question": "what was the percentage change of unrecognized tax benefits at year end between 2016 and 2017?", "answer": "-1%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "348", "arg2": "352", "res": "-4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "352", "res": "-1%"}], "program": "subtract(348, 352), divide(#0, 352)", "gold_inds": {"table_7": "the balance at december 31 of 2018 is $ 463 ; the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ;"}, "exe_ans": -0.01136, "tfidftopn": {"table_2": "The additions for current year tax positions of 2018 is 2 ; The additions for current year tax positions of 2017 is 2014 ; The additions for current year tax positions of 2016 is 2 ;", "text_4": "however , audit outcomes and the timing of audit settlements and future events that would impact our previously recorded unrecognized tax benefits and the range of anticipated increases or decreases in unrecognized tax benefits are subject to significant uncertainty ."}, "program_re": "divide(subtract(348, 352), 352)", "model_input": [["text_0", "the aes corporation notes to consolidated financial statements 2014 ( continued ) december 31 , 2018 , 2017 , and 2016 the following is a reconciliation of the beginning and ending amounts of unrecognized tax benefits for the periods indicated ( in millions ) : ."], ["table_1", "the balance at january 1 of 2018 is $ 348 ; the balance at january 1 of 2017 is $ 352 ; the balance at january 1 of 2016 is $ 364 ;"], ["table_7", "the balance at december 31 of 2018 is $ 463 ; the balance at december 31 of 2017 is $ 348 ; the balance at december 31 of 2016 is $ 352 ;"]]}, "answers": ["-1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000543", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2010 what was the ratio of the securities borrowed to the securities loaned\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "11.67.", "rejected": "5.05.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || <TIME> what was the ratio of the securities borrowed to the securities loaned", "doc_prefix": "JPM", "base_question": "<TIME> what was the ratio of the securities borrowed to the securities loaned", "original_question": "in 2010 what was the ratio of the securities borrowed to the securities loaned", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11.67": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "5.05": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "JPM/2010/page_219.pdf-2", "qa": {"question": "in 2010 what was the ratio of the securities borrowed to the securities loaned", "answer": "11.67", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "123587", "arg2": "10592", "res": "11.67"}], "program": "divide(123587, 10592)", "gold_inds": {"table_2": "december 31 ( in millions ) the securities borrowed ( b ) of 2010 is 123587 ; the securities borrowed ( b ) of 2009 is 119630 ;", "table_4": "december 31 ( in millions ) the securities loaned of 2010 is 10592 ; the securities loaned of 2009 is 7835 ;"}, "exe_ans": 11.66796, "tfidftopn": {"text_3": "securities borrowed and securities loaned transactions are generally carried at the amount of cash collateral advanced or received ."}, "program_re": "divide(123587, 10592)", "model_input": [["table_2", "december 31 ( in millions ) the securities borrowed ( b ) of 2010 is 123587 ; the securities borrowed ( b ) of 2009 is 119630 ;"], ["table_4", "december 31 ( in millions ) the securities loaned of 2010 is 10592 ; the securities loaned of 2009 is 7835 ;"], ["text_13", "( b ) includes securities borrowed of $ 14.0 billion and $ 7.0 billion accounted for at fair value at december 31 , 2010 and 2009 , respectively ."]]}, "answers": ["11.67"]}, "rejected_source": {"id": "JPM/2012/page_239.pdf-1", "qa": {"question": "in 2012 what was the ratio of the securities borrowed to the securities loaned", "answer": "5.05", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "119017", "arg2": "23582", "res": "5.05"}], "program": "divide(119017, 23582)", "gold_inds": {"table_2": "december 31 ( in millions ) the securities borrowed ( b ) of 2012 is 119017 ; the securities borrowed ( b ) of 2011 is 142462 ;", "table_4": "december 31 ( in millions ) the securities loaned ( d ) of 2012 is 23582 ; the securities loaned ( d ) of 2011 is 14214 ;"}, "exe_ans": 5.04694, "tfidftopn": {"text_8": "the securities financing agreements for which the fair value option has been elected are reported within securities purchased under resale agreements ; securities loaned or sold under repurchase agreements ; and securities borrowed on the consolidated balance sheets ."}, "program_re": "divide(119017, 23582)", "model_input": [["text_15", "( d ) at december 31 , 2012 , included securities loaned of $ 457 million accounted for at fair value ."], ["table_2", "december 31 ( in millions ) the securities borrowed ( b ) of 2012 is 119017 ; the securities borrowed ( b ) of 2011 is 142462 ;"], ["table_4", "december 31 ( in millions ) the securities loaned ( d ) of 2012 is 23582 ; the securities loaned ( d ) of 2011 is 14214 ;"]]}, "answers": ["5.05"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000544", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2012 what was the ratio of the securities borrowed to the securities loaned\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "5.05.", "rejected": "11.67.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || <TIME> what was the ratio of the securities borrowed to the securities loaned", "doc_prefix": "JPM", "base_question": "<TIME> what was the ratio of the securities borrowed to the securities loaned", "original_question": "in 2012 what was the ratio of the securities borrowed to the securities loaned", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11.67": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "5.05": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "JPM/2012/page_239.pdf-1", "qa": {"question": "in 2012 what was the ratio of the securities borrowed to the securities loaned", "answer": "5.05", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "119017", "arg2": "23582", "res": "5.05"}], "program": "divide(119017, 23582)", "gold_inds": {"table_2": "december 31 ( in millions ) the securities borrowed ( b ) of 2012 is 119017 ; the securities borrowed ( b ) of 2011 is 142462 ;", "table_4": "december 31 ( in millions ) the securities loaned ( d ) of 2012 is 23582 ; the securities loaned ( d ) of 2011 is 14214 ;"}, "exe_ans": 5.04694, "tfidftopn": {"text_8": "the securities financing agreements for which the fair value option has been elected are reported within securities purchased under resale agreements ; securities loaned or sold under repurchase agreements ; and securities borrowed on the consolidated balance sheets ."}, "program_re": "divide(119017, 23582)", "model_input": [["text_15", "( d ) at december 31 , 2012 , included securities loaned of $ 457 million accounted for at fair value ."], ["table_2", "december 31 ( in millions ) the securities borrowed ( b ) of 2012 is 119017 ; the securities borrowed ( b ) of 2011 is 142462 ;"], ["table_4", "december 31 ( in millions ) the securities loaned ( d ) of 2012 is 23582 ; the securities loaned ( d ) of 2011 is 14214 ;"]]}, "answers": ["5.05"]}, "rejected_source": {"id": "JPM/2010/page_219.pdf-2", "qa": {"question": "in 2010 what was the ratio of the securities borrowed to the securities loaned", "answer": "11.67", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "123587", "arg2": "10592", "res": "11.67"}], "program": "divide(123587, 10592)", "gold_inds": {"table_2": "december 31 ( in millions ) the securities borrowed ( b ) of 2010 is 123587 ; the securities borrowed ( b ) of 2009 is 119630 ;", "table_4": "december 31 ( in millions ) the securities loaned of 2010 is 10592 ; the securities loaned of 2009 is 7835 ;"}, "exe_ans": 11.66796, "tfidftopn": {"text_3": "securities borrowed and securities loaned transactions are generally carried at the amount of cash collateral advanced or received ."}, "program_re": "divide(123587, 10592)", "model_input": [["table_2", "december 31 ( in millions ) the securities borrowed ( b ) of 2010 is 123587 ; the securities borrowed ( b ) of 2009 is 119630 ;"], ["table_4", "december 31 ( in millions ) the securities loaned of 2010 is 10592 ; the securities loaned of 2009 is 7835 ;"], ["text_13", "( b ) includes securities borrowed of $ 14.0 billion and $ 7.0 billion accounted for at fair value at december 31 , 2010 and 2009 , respectively ."]]}, "answers": ["11.67"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000545", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage increase in inventories balance due to the adoption of lifo in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "5.4%.", "rejected": "5.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAP || what is the percentage increase in inventories balance due to the adoption of lifo <TIME>?", "doc_prefix": "AAP", "base_question": "what is the percentage increase in inventories balance due to the adoption of lifo <TIME>?", "original_question": "what is the percentage increase in inventories balance due to the adoption of lifo in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.8%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "5.4%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "AAP/2013/page_68.pdf-1", "qa": {"question": "what is the percentage increase in inventories balance due to the adoption of lifo in 2013?", "answer": "5.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "131762", "arg2": "2424795", "res": "5.4%"}], "program": "divide(131762, 2424795)", "gold_inds": {"table_1": "the inventories at fifo net of december 282013 is $ 2424795 ; the inventories at fifo net of december 292012 is $ 2182419 ;", "table_2": "the adjustments to state inventories at lifo of december 282013 is 131762 ; the adjustments to state inventories at lifo of december 292012 is 126190 ;"}, "exe_ans": 0.05434, "tfidftopn": {"text_8": "under lifo , the company 2019s cost of sales reflects the costs of the most recently purchased inventories , while the inventory carrying balance represents the costs for inventories purchased in fiscal 2013 and prior years ."}, "program_re": "divide(131762, 2424795)", "model_input": [["table_1", "the inventories at fifo net of december 282013 is $ 2424795 ; the inventories at fifo net of december 292012 is $ 2182419 ;"], ["table_2", "the adjustments to state inventories at lifo of december 282013 is 131762 ; the adjustments to state inventories at lifo of december 292012 is 126190 ;"], ["table_3", "the inventories at lifo net of december 282013 is $ 2556557 ; the inventories at lifo net of december 292012 is $ 2308609 ;"]]}, "answers": ["5.4%"]}, "rejected_source": {"id": "AAP/2013/page_68.pdf-2", "qa": {"question": "what is the percentage increase in inventories balance due to the adoption of lifo in 2012?", "answer": "5.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "126190", "arg2": "2182419", "res": "5.8%"}], "program": "divide(126190, 2182419)", "gold_inds": {"table_1": "the inventories at fifo net of december 282013 is $ 2424795 ; the inventories at fifo net of december 292012 is $ 2182419 ;", "table_2": "the adjustments to state inventories at lifo of december 282013 is 131762 ; the adjustments to state inventories at lifo of december 292012 is 126190 ;"}, "exe_ans": 0.05782, "tfidftopn": {"text_11": "in fiscal 2011 , the company recorded an increase to cost of sales of $ 24708 due to an increase in supply chain costs and inflationary pressures affecting certain product categories ."}, "program_re": "divide(126190, 2182419)", "model_input": [["table_1", "the inventories at fifo net of december 282013 is $ 2424795 ; the inventories at fifo net of december 292012 is $ 2182419 ;"], ["table_2", "the adjustments to state inventories at lifo of december 282013 is 131762 ; the adjustments to state inventories at lifo of december 292012 is 126190 ;"], ["table_3", "the inventories at lifo net of december 282013 is $ 2556557 ; the inventories at lifo net of december 292012 is $ 2308609 ;"]]}, "answers": ["5.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000546", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage increase in inventories balance due to the adoption of lifo in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "5.8%.", "rejected": "5.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAP || what is the percentage increase in inventories balance due to the adoption of lifo <TIME>?", "doc_prefix": "AAP", "base_question": "what is the percentage increase in inventories balance due to the adoption of lifo <TIME>?", "original_question": "what is the percentage increase in inventories balance due to the adoption of lifo in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.8%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "5.4%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "AAP/2013/page_68.pdf-2", "qa": {"question": "what is the percentage increase in inventories balance due to the adoption of lifo in 2012?", "answer": "5.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "126190", "arg2": "2182419", "res": "5.8%"}], "program": "divide(126190, 2182419)", "gold_inds": {"table_1": "the inventories at fifo net of december 282013 is $ 2424795 ; the inventories at fifo net of december 292012 is $ 2182419 ;", "table_2": "the adjustments to state inventories at lifo of december 282013 is 131762 ; the adjustments to state inventories at lifo of december 292012 is 126190 ;"}, "exe_ans": 0.05782, "tfidftopn": {"text_11": "in fiscal 2011 , the company recorded an increase to cost of sales of $ 24708 due to an increase in supply chain costs and inflationary pressures affecting certain product categories ."}, "program_re": "divide(126190, 2182419)", "model_input": [["table_1", "the inventories at fifo net of december 282013 is $ 2424795 ; the inventories at fifo net of december 292012 is $ 2182419 ;"], ["table_2", "the adjustments to state inventories at lifo of december 282013 is 131762 ; the adjustments to state inventories at lifo of december 292012 is 126190 ;"], ["table_3", "the inventories at lifo net of december 282013 is $ 2556557 ; the inventories at lifo net of december 292012 is $ 2308609 ;"]]}, "answers": ["5.8%"]}, "rejected_source": {"id": "AAP/2013/page_68.pdf-1", "qa": {"question": "what is the percentage increase in inventories balance due to the adoption of lifo in 2013?", "answer": "5.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "131762", "arg2": "2424795", "res": "5.4%"}], "program": "divide(131762, 2424795)", "gold_inds": {"table_1": "the inventories at fifo net of december 282013 is $ 2424795 ; the inventories at fifo net of december 292012 is $ 2182419 ;", "table_2": "the adjustments to state inventories at lifo of december 282013 is 131762 ; the adjustments to state inventories at lifo of december 292012 is 126190 ;"}, "exe_ans": 0.05434, "tfidftopn": {"text_8": "under lifo , the company 2019s cost of sales reflects the costs of the most recently purchased inventories , while the inventory carrying balance represents the costs for inventories purchased in fiscal 2013 and prior years ."}, "program_re": "divide(131762, 2424795)", "model_input": [["table_1", "the inventories at fifo net of december 282013 is $ 2424795 ; the inventories at fifo net of december 292012 is $ 2182419 ;"], ["table_2", "the adjustments to state inventories at lifo of december 282013 is 131762 ; the adjustments to state inventories at lifo of december 292012 is 126190 ;"], ["table_3", "the inventories at lifo net of december 282013 is $ 2556557 ; the inventories at lifo net of december 292012 is $ 2308609 ;"]]}, "answers": ["5.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000547", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in teleflex incorporated from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "15.3%.", "rejected": "24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "TFX || what is the roi of an investment in teleflex incorporated <TIME>?", "doc_prefix": "TFX", "base_question": "what is the roi of an investment in teleflex incorporated <TIME>?", "original_question": "what is the roi of an investment in teleflex incorporated from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"24%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "15.3%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "TFX/2018/page_47.pdf-2", "qa": {"question": "what is the roi of an investment in teleflex incorporated from 2014 to 2015?", "answer": "15.3%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "143", "arg2": "124", "res": "19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "124", "res": "15.3%"}], "program": "subtract(143, 124), divide(#0, 124)", "gold_inds": {"table_1": "company / index the teleflex incorporated of 2013 is 100 ; the teleflex incorporated of 2014 is 124 ; the teleflex incorporated of 2015 is 143 ; the teleflex incorporated of 2016 is 177 ; the teleflex incorporated of 2017 is 275 ; the teleflex incorporated of 2018 is 288 ;"}, "exe_ans": 0.15323, "tfidftopn": {"table_2": "company / index The s&p 500 index of 2013 is 100 ; The s&p 500 index of 2014 is 114 ; The s&p 500 index of 2015 is 115 ; The s&p 500 index of 2016 is 129 ; The s&p 500 index of 2017 is 157 ; The s&p 500 index of 2018 is 150 ;", "text_4": "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december a031 , 2013 and that all dividends were reinvested ."}, "program_re": "divide(subtract(143, 124), 124)", "model_input": [["table_1", "company / index the teleflex incorporated of 2013 is 100 ; the teleflex incorporated of 2014 is 124 ; the teleflex incorporated of 2015 is 143 ; the teleflex incorporated of 2016 is 177 ; the teleflex incorporated of 2017 is 275 ; the teleflex incorporated of 2018 is 288 ;"], ["table_2", "company / index the s&p 500 index of 2013 is 100 ; the s&p 500 index of 2014 is 114 ; the s&p 500 index of 2015 is 115 ; the s&p 500 index of 2016 is 129 ; the s&p 500 index of 2017 is 157 ; the s&p 500 index of 2018 is 150 ;"], ["table_3", "company / index the s&p 500 healthcare equipment & supply index of 2013 is 100 ; the s&p 500 healthcare equipment & supply index of 2014 is 126 ; the s&p 500 healthcare equipment & supply index of 2015 is 134 ; the s&p 500 healthcare equipment & supply index of 2016 is 142 ; the s&p 500 healthcare equipment & supply index of 2017 is 186 ; the s&p 500 healthcare equipment & supply index of 2018 is 213 ;"]]}, "answers": ["15.3%"]}, "rejected_source": {"id": "TFX/2018/page_47.pdf-1", "qa": {"question": "what is the roi of an investment in teleflex incorporated from 2013 to 2014?", "answer": "24%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "124", "arg2": "100", "res": "24"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "24%"}], "program": "subtract(124, 100), divide(#0, 100)", "gold_inds": {"table_1": "company / index the teleflex incorporated of 2013 is 100 ; the teleflex incorporated of 2014 is 124 ; the teleflex incorporated of 2015 is 143 ; the teleflex incorporated of 2016 is 177 ; the teleflex incorporated of 2017 is 275 ; the teleflex incorporated of 2018 is 288 ;"}, "exe_ans": 0.24, "tfidftopn": {"text_4": "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december a031 , 2013 and that all dividends were reinvested .", "table_2": "company / index The s&p 500 index of 2013 is 100 ; The s&p 500 index of 2014 is 114 ; The s&p 500 index of 2015 is 115 ; The s&p 500 index of 2016 is 129 ; The s&p 500 index of 2017 is 157 ; The s&p 500 index of 2018 is 150 ;"}, "program_re": "divide(subtract(124, 100), 100)", "model_input": [["table_1", "company / index the teleflex incorporated of 2013 is 100 ; the teleflex incorporated of 2014 is 124 ; the teleflex incorporated of 2015 is 143 ; the teleflex incorporated of 2016 is 177 ; the teleflex incorporated of 2017 is 275 ; the teleflex incorporated of 2018 is 288 ;"], ["table_2", "company / index the s&p 500 index of 2013 is 100 ; the s&p 500 index of 2014 is 114 ; the s&p 500 index of 2015 is 115 ; the s&p 500 index of 2016 is 129 ; the s&p 500 index of 2017 is 157 ; the s&p 500 index of 2018 is 150 ;"], ["table_3", "company / index the s&p 500 healthcare equipment & supply index of 2013 is 100 ; the s&p 500 healthcare equipment & supply index of 2014 is 126 ; the s&p 500 healthcare equipment & supply index of 2015 is 134 ; the s&p 500 healthcare equipment & supply index of 2016 is 142 ; the s&p 500 healthcare equipment & supply index of 2017 is 186 ; the s&p 500 healthcare equipment & supply index of 2018 is 213 ;"]]}, "answers": ["24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000548", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in teleflex incorporated from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "24%.", "rejected": "15.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "TFX || what is the roi of an investment in teleflex incorporated <TIME>?", "doc_prefix": "TFX", "base_question": "what is the roi of an investment in teleflex incorporated <TIME>?", "original_question": "what is the roi of an investment in teleflex incorporated from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"24%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "15.3%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "TFX/2018/page_47.pdf-1", "qa": {"question": "what is the roi of an investment in teleflex incorporated from 2013 to 2014?", "answer": "24%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "124", "arg2": "100", "res": "24"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "24%"}], "program": "subtract(124, 100), divide(#0, 100)", "gold_inds": {"table_1": "company / index the teleflex incorporated of 2013 is 100 ; the teleflex incorporated of 2014 is 124 ; the teleflex incorporated of 2015 is 143 ; the teleflex incorporated of 2016 is 177 ; the teleflex incorporated of 2017 is 275 ; the teleflex incorporated of 2018 is 288 ;"}, "exe_ans": 0.24, "tfidftopn": {"text_4": "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december a031 , 2013 and that all dividends were reinvested .", "table_2": "company / index The s&p 500 index of 2013 is 100 ; The s&p 500 index of 2014 is 114 ; The s&p 500 index of 2015 is 115 ; The s&p 500 index of 2016 is 129 ; The s&p 500 index of 2017 is 157 ; The s&p 500 index of 2018 is 150 ;"}, "program_re": "divide(subtract(124, 100), 100)", "model_input": [["table_1", "company / index the teleflex incorporated of 2013 is 100 ; the teleflex incorporated of 2014 is 124 ; the teleflex incorporated of 2015 is 143 ; the teleflex incorporated of 2016 is 177 ; the teleflex incorporated of 2017 is 275 ; the teleflex incorporated of 2018 is 288 ;"], ["table_2", "company / index the s&p 500 index of 2013 is 100 ; the s&p 500 index of 2014 is 114 ; the s&p 500 index of 2015 is 115 ; the s&p 500 index of 2016 is 129 ; the s&p 500 index of 2017 is 157 ; the s&p 500 index of 2018 is 150 ;"], ["table_3", "company / index the s&p 500 healthcare equipment & supply index of 2013 is 100 ; the s&p 500 healthcare equipment & supply index of 2014 is 126 ; the s&p 500 healthcare equipment & supply index of 2015 is 134 ; the s&p 500 healthcare equipment & supply index of 2016 is 142 ; the s&p 500 healthcare equipment & supply index of 2017 is 186 ; the s&p 500 healthcare equipment & supply index of 2018 is 213 ;"]]}, "answers": ["24%"]}, "rejected_source": {"id": "TFX/2018/page_47.pdf-2", "qa": {"question": "what is the roi of an investment in teleflex incorporated from 2014 to 2015?", "answer": "15.3%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "143", "arg2": "124", "res": "19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "124", "res": "15.3%"}], "program": "subtract(143, 124), divide(#0, 124)", "gold_inds": {"table_1": "company / index the teleflex incorporated of 2013 is 100 ; the teleflex incorporated of 2014 is 124 ; the teleflex incorporated of 2015 is 143 ; the teleflex incorporated of 2016 is 177 ; the teleflex incorporated of 2017 is 275 ; the teleflex incorporated of 2018 is 288 ;"}, "exe_ans": 0.15323, "tfidftopn": {"table_2": "company / index The s&p 500 index of 2013 is 100 ; The s&p 500 index of 2014 is 114 ; The s&p 500 index of 2015 is 115 ; The s&p 500 index of 2016 is 129 ; The s&p 500 index of 2017 is 157 ; The s&p 500 index of 2018 is 150 ;", "text_4": "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december a031 , 2013 and that all dividends were reinvested ."}, "program_re": "divide(subtract(143, 124), 124)", "model_input": [["table_1", "company / index the teleflex incorporated of 2013 is 100 ; the teleflex incorporated of 2014 is 124 ; the teleflex incorporated of 2015 is 143 ; the teleflex incorporated of 2016 is 177 ; the teleflex incorporated of 2017 is 275 ; the teleflex incorporated of 2018 is 288 ;"], ["table_2", "company / index the s&p 500 index of 2013 is 100 ; the s&p 500 index of 2014 is 114 ; the s&p 500 index of 2015 is 115 ; the s&p 500 index of 2016 is 129 ; the s&p 500 index of 2017 is 157 ; the s&p 500 index of 2018 is 150 ;"], ["table_3", "company / index the s&p 500 healthcare equipment & supply index of 2013 is 100 ; the s&p 500 healthcare equipment & supply index of 2014 is 126 ; the s&p 500 healthcare equipment & supply index of 2015 is 134 ; the s&p 500 healthcare equipment & supply index of 2016 is 142 ; the s&p 500 healthcare equipment & supply index of 2017 is 186 ; the s&p 500 healthcare equipment & supply index of 2018 is 213 ;"]]}, "answers": ["15.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000549", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total loans receivable gross in 2015 were loans backed by commercial real estate?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "12%.", "rejected": "9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total loans receivable gross <TIME> were loans backed by commercial real estate?", "doc_prefix": "GS", "base_question": "what percentage of total loans receivable gross <TIME> were loans backed by commercial real estate?", "original_question": "what percentage of total loans receivable gross in 2015 were loans backed by commercial real estate?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "9%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GS/2016/page_161.pdf-2", "qa": {"question": "what percentage of total loans receivable gross in 2015 were loans backed by commercial real estate?", "answer": "12%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "5271", "arg2": "45821", "res": "12%"}], "program": "divide(5271, 45821)", "gold_inds": {"table_3": "$ in millions the loans backed by commercial real estate of as of december 2016 is 4761 ; the loans backed by commercial real estate of as of december 2015 is 5271 ;", "table_6": "$ in millions the total loans receivable gross of as of december 2016 is 50181 ; the total loans receivable gross of as of december 2015 is 45821 ;"}, "exe_ans": 0.11503, "tfidftopn": {"table_4": "$ in millions The loans backed by residential real estate of as of december 2016 is 3865 ; The loans backed by residential real estate of as of december 2015 is 2316 ;"}, "program_re": "divide(5271, 45821)", "model_input": [["table_3", "$ in millions the loans backed by commercial real estate of as of december 2016 is 4761 ; the loans backed by commercial real estate of as of december 2015 is 5271 ;"], ["table_6", "$ in millions the total loans receivable gross of as of december 2016 is 50181 ; the total loans receivable gross of as of december 2015 is 45821 ;"], ["table_8", "$ in millions the total loans receivable of as of december 2016 is $ 49672 ; the total loans receivable of as of december 2015 is $ 45407 ;"]]}, "answers": ["12%"]}, "rejected_source": {"id": "GS/2016/page_161.pdf-1", "qa": {"question": "what percentage of total loans receivable gross in 2016 were loans backed by commercial real estate?", "answer": "9%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "4761", "arg2": "50181", "res": "9%"}], "program": "divide(4761, 50181)", "gold_inds": {"table_3": "$ in millions the loans backed by commercial real estate of as of december 2016 is 4761 ; the loans backed by commercial real estate of as of december 2015 is 5271 ;", "table_6": "$ in millions the total loans receivable gross of as of december 2016 is 50181 ; the total loans receivable gross of as of december 2015 is 45821 ;"}, "exe_ans": 0.09488, "tfidftopn": {"table_4": "$ in millions The loans backed by residential real estate of as of december 2016 is 3865 ; The loans backed by residential real estate of as of december 2015 is 2316 ;"}, "program_re": "divide(4761, 50181)", "model_input": [["table_3", "$ in millions the loans backed by commercial real estate of as of december 2016 is 4761 ; the loans backed by commercial real estate of as of december 2015 is 5271 ;"], ["table_6", "$ in millions the total loans receivable gross of as of december 2016 is 50181 ; the total loans receivable gross of as of december 2015 is 45821 ;"], ["table_8", "$ in millions the total loans receivable of as of december 2016 is $ 49672 ; the total loans receivable of as of december 2015 is $ 45407 ;"]]}, "answers": ["9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000550", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total loans receivable gross in 2016 were loans backed by commercial real estate?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "9%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total loans receivable gross <TIME> were loans backed by commercial real estate?", "doc_prefix": "GS", "base_question": "what percentage of total loans receivable gross <TIME> were loans backed by commercial real estate?", "original_question": "what percentage of total loans receivable gross in 2016 were loans backed by commercial real estate?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "9%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GS/2016/page_161.pdf-1", "qa": {"question": "what percentage of total loans receivable gross in 2016 were loans backed by commercial real estate?", "answer": "9%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "4761", "arg2": "50181", "res": "9%"}], "program": "divide(4761, 50181)", "gold_inds": {"table_3": "$ in millions the loans backed by commercial real estate of as of december 2016 is 4761 ; the loans backed by commercial real estate of as of december 2015 is 5271 ;", "table_6": "$ in millions the total loans receivable gross of as of december 2016 is 50181 ; the total loans receivable gross of as of december 2015 is 45821 ;"}, "exe_ans": 0.09488, "tfidftopn": {"table_4": "$ in millions The loans backed by residential real estate of as of december 2016 is 3865 ; The loans backed by residential real estate of as of december 2015 is 2316 ;"}, "program_re": "divide(4761, 50181)", "model_input": [["table_3", "$ in millions the loans backed by commercial real estate of as of december 2016 is 4761 ; the loans backed by commercial real estate of as of december 2015 is 5271 ;"], ["table_6", "$ in millions the total loans receivable gross of as of december 2016 is 50181 ; the total loans receivable gross of as of december 2015 is 45821 ;"], ["table_8", "$ in millions the total loans receivable of as of december 2016 is $ 49672 ; the total loans receivable of as of december 2015 is $ 45407 ;"]]}, "answers": ["9%"]}, "rejected_source": {"id": "GS/2016/page_161.pdf-2", "qa": {"question": "what percentage of total loans receivable gross in 2015 were loans backed by commercial real estate?", "answer": "12%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "5271", "arg2": "45821", "res": "12%"}], "program": "divide(5271, 45821)", "gold_inds": {"table_3": "$ in millions the loans backed by commercial real estate of as of december 2016 is 4761 ; the loans backed by commercial real estate of as of december 2015 is 5271 ;", "table_6": "$ in millions the total loans receivable gross of as of december 2016 is 50181 ; the total loans receivable gross of as of december 2015 is 45821 ;"}, "exe_ans": 0.11503, "tfidftopn": {"table_4": "$ in millions The loans backed by residential real estate of as of december 2016 is 3865 ; The loans backed by residential real estate of as of december 2015 is 2316 ;"}, "program_re": "divide(5271, 45821)", "model_input": [["table_3", "$ in millions the loans backed by commercial real estate of as of december 2016 is 4761 ; the loans backed by commercial real estate of as of december 2015 is 5271 ;"], ["table_6", "$ in millions the total loans receivable gross of as of december 2016 is 50181 ; the total loans receivable gross of as of december 2015 is 45821 ;"], ["table_8", "$ in millions the total loans receivable of as of december 2016 is $ 49672 ; the total loans receivable of as of december 2015 is $ 45407 ;"]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000551", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in thousands of the goodwill and intangible assets balance from october 31 , 2010 to october 31 , 2011?\nReference time interval: 2010-10-31 00:00:00 to 2011-11-01 00:00:00", "chosen": "23443.", "rejected": "687701.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SNPS || what was the net change in thousands of the goodwill and intangible assets balance <TIME>?", "doc_prefix": "SNPS", "base_question": "what was the net change in thousands of the goodwill and intangible assets balance <TIME>?", "original_question": "what was the net change in thousands of the goodwill and intangible assets balance from october 31 , 2010 to october 31 , 2011?", "reference_time": {"start": "2010-10-31 00:00:00", "end": "2011-11-01 00:00:00", "normalized_text": "from 2010-10-31 to 2011-10-31", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"23443": [{"start": "2010-10-31 00:00:00", "end": "2011-11-01 00:00:00", "normalized_text": "from 2010-10-31 to 2011-10-31"}], "687701": [{"start": "2011-10-31 00:00:00", "end": "2012-11-01 00:00:00", "normalized_text": "from 2011-10-31 to 2012-10-31"}]}, "chosen_source": {"id": "SNPS/2012/page_64.pdf-1", "qa": {"question": "what was the net change in thousands of the goodwill and intangible assets balance from october 31 , 2010 to october 31 , 2011?", "answer": "23443", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1289286", "arg2": "1265843", "res": "23443"}], "program": "subtract(1289286, 1265843)", "gold_inds": {"table_1": "the balance at october 31 2010 of ( in thousands ) is $ 1265843 ;", "table_4": "the balance at october 31 2011 of ( in thousands ) is $ 1289286 ;"}, "exe_ans": 23443.0, "tfidftopn": {"table_7": "The balance at october 31 2012 of ( in thousands ) is $ 1976987 ;"}, "program_re": "subtract(1289286, 1265843)", "model_input": [["table_1", "the balance at october 31 2010 of ( in thousands ) is $ 1265843 ;"], ["table_4", "the balance at october 31 2011 of ( in thousands ) is $ 1289286 ;"], ["table_7", "the balance at october 31 2012 of ( in thousands ) is $ 1976987 ;"]]}, "answers": ["23443"]}, "rejected_source": {"id": "SNPS/2012/page_64.pdf-2", "qa": {"question": "what was the net change in thousands of the goodwill and intangible assets balance from october 31 , 2011 to october 31 , 2012?", "answer": "687701", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1976987", "arg2": "1289286", "res": "687701"}], "program": "subtract(1976987, 1289286)", "gold_inds": {"table_4": "the balance at october 31 2011 of ( in thousands ) is $ 1289286 ;", "table_7": "the balance at october 31 2012 of ( in thousands ) is $ 1976987 ;"}, "exe_ans": 687701.0, "tfidftopn": {"table_1": "The balance at october 31 2010 of ( in thousands ) is $ 1265843 ;"}, "program_re": "subtract(1976987, 1289286)", "model_input": [["table_1", "the balance at october 31 2010 of ( in thousands ) is $ 1265843 ;"], ["table_4", "the balance at october 31 2011 of ( in thousands ) is $ 1289286 ;"], ["table_7", "the balance at october 31 2012 of ( in thousands ) is $ 1976987 ;"]]}, "answers": ["687701"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000552", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in thousands of the goodwill and intangible assets balance from october 31 , 2011 to october 31 , 2012?\nReference time interval: 2011-10-31 00:00:00 to 2012-11-01 00:00:00", "chosen": "687701.", "rejected": "23443.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SNPS || what was the net change in thousands of the goodwill and intangible assets balance <TIME>?", "doc_prefix": "SNPS", "base_question": "what was the net change in thousands of the goodwill and intangible assets balance <TIME>?", "original_question": "what was the net change in thousands of the goodwill and intangible assets balance from october 31 , 2011 to october 31 , 2012?", "reference_time": {"start": "2011-10-31 00:00:00", "end": "2012-11-01 00:00:00", "normalized_text": "from 2011-10-31 to 2012-10-31", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"23443": [{"start": "2010-10-31 00:00:00", "end": "2011-11-01 00:00:00", "normalized_text": "from 2010-10-31 to 2011-10-31"}], "687701": [{"start": "2011-10-31 00:00:00", "end": "2012-11-01 00:00:00", "normalized_text": "from 2011-10-31 to 2012-10-31"}]}, "chosen_source": {"id": "SNPS/2012/page_64.pdf-2", "qa": {"question": "what was the net change in thousands of the goodwill and intangible assets balance from october 31 , 2011 to october 31 , 2012?", "answer": "687701", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1976987", "arg2": "1289286", "res": "687701"}], "program": "subtract(1976987, 1289286)", "gold_inds": {"table_4": "the balance at october 31 2011 of ( in thousands ) is $ 1289286 ;", "table_7": "the balance at october 31 2012 of ( in thousands ) is $ 1976987 ;"}, "exe_ans": 687701.0, "tfidftopn": {"table_1": "The balance at october 31 2010 of ( in thousands ) is $ 1265843 ;"}, "program_re": "subtract(1976987, 1289286)", "model_input": [["table_1", "the balance at october 31 2010 of ( in thousands ) is $ 1265843 ;"], ["table_4", "the balance at october 31 2011 of ( in thousands ) is $ 1289286 ;"], ["table_7", "the balance at october 31 2012 of ( in thousands ) is $ 1976987 ;"]]}, "answers": ["687701"]}, "rejected_source": {"id": "SNPS/2012/page_64.pdf-1", "qa": {"question": "what was the net change in thousands of the goodwill and intangible assets balance from october 31 , 2010 to october 31 , 2011?", "answer": "23443", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1289286", "arg2": "1265843", "res": "23443"}], "program": "subtract(1289286, 1265843)", "gold_inds": {"table_1": "the balance at october 31 2010 of ( in thousands ) is $ 1265843 ;", "table_4": "the balance at october 31 2011 of ( in thousands ) is $ 1289286 ;"}, "exe_ans": 23443.0, "tfidftopn": {"table_7": "The balance at october 31 2012 of ( in thousands ) is $ 1976987 ;"}, "program_re": "subtract(1289286, 1265843)", "model_input": [["table_1", "the balance at october 31 2010 of ( in thousands ) is $ 1265843 ;"], ["table_4", "the balance at october 31 2011 of ( in thousands ) is $ 1289286 ;"], ["table_7", "the balance at october 31 2012 of ( in thousands ) is $ 1976987 ;"]]}, "answers": ["23443"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000553", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of consumer packaging sales where from north american consumer packaging in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "59%.", "rejected": "65%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of consumer packaging sales where from north american consumer packaging <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of consumer packaging sales where from north american consumer packaging <TIME>?", "original_question": "what percentage of consumer packaging sales where from north american consumer packaging in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"59%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "65%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "IP/2015/page_46.pdf-2", "qa": {"question": "what percentage of consumer packaging sales where from north american consumer packaging in 2014?", "answer": "59%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [2], "steps": [{"op": "multiply2-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3403", "res": "59%"}], "program": "multiply(const_2, const_1000), divide(#0, 3403)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;", "text_2": "north american consumer packaging net sales were $ 1.9 billion in 2015 compared with $ 2.0 billion in 2014 and $ 2.0 billion in 2013 ."}, "exe_ans": 0.58772, "tfidftopn": {"text_1": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3403)", "model_input": [["table_1", "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"], ["text_2", "north american consumer packaging net sales were $ 1.9 billion in 2015 compared with $ 2.0 billion in 2014 and $ 2.0 billion in 2013 ."]]}, "answers": ["59%"]}, "rejected_source": {"id": "IP/2015/page_46.pdf-1", "qa": {"question": "what percentage of consumer packaging sales where from north american consumer packaging in 2015?", "answer": "65%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [2], "steps": [{"op": "multiply1-1", "arg1": "1.9", "arg2": "const_1000", "res": "1900"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2940", "res": "65%"}], "program": "multiply(1.9, const_1000), divide(#0, 2940)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;", "text_2": "north american consumer packaging net sales were $ 1.9 billion in 2015 compared with $ 2.0 billion in 2014 and $ 2.0 billion in 2013 ."}, "exe_ans": 0.64626, "tfidftopn": {"text_1": "consumer packaging ."}, "program_re": "divide(multiply(1.9, const_1000), 2940)", "model_input": [["table_1", "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"], ["text_2", "north american consumer packaging net sales were $ 1.9 billion in 2015 compared with $ 2.0 billion in 2014 and $ 2.0 billion in 2013 ."]]}, "answers": ["65%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000554", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of consumer packaging sales where from north american consumer packaging in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "65%.", "rejected": "59%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of consumer packaging sales where from north american consumer packaging <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of consumer packaging sales where from north american consumer packaging <TIME>?", "original_question": "what percentage of consumer packaging sales where from north american consumer packaging in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"59%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "65%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "IP/2015/page_46.pdf-1", "qa": {"question": "what percentage of consumer packaging sales where from north american consumer packaging in 2015?", "answer": "65%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [2], "steps": [{"op": "multiply1-1", "arg1": "1.9", "arg2": "const_1000", "res": "1900"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2940", "res": "65%"}], "program": "multiply(1.9, const_1000), divide(#0, 2940)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;", "text_2": "north american consumer packaging net sales were $ 1.9 billion in 2015 compared with $ 2.0 billion in 2014 and $ 2.0 billion in 2013 ."}, "exe_ans": 0.64626, "tfidftopn": {"text_1": "consumer packaging ."}, "program_re": "divide(multiply(1.9, const_1000), 2940)", "model_input": [["table_1", "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"], ["text_2", "north american consumer packaging net sales were $ 1.9 billion in 2015 compared with $ 2.0 billion in 2014 and $ 2.0 billion in 2013 ."]]}, "answers": ["65%"]}, "rejected_source": {"id": "IP/2015/page_46.pdf-2", "qa": {"question": "what percentage of consumer packaging sales where from north american consumer packaging in 2014?", "answer": "59%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [2], "steps": [{"op": "multiply2-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3403", "res": "59%"}], "program": "multiply(const_2, const_1000), divide(#0, 3403)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;", "text_2": "north american consumer packaging net sales were $ 1.9 billion in 2015 compared with $ 2.0 billion in 2014 and $ 2.0 billion in 2013 ."}, "exe_ans": 0.58772, "tfidftopn": {"text_1": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3403)", "model_input": [["table_1", "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"], ["text_2", "north american consumer packaging net sales were $ 1.9 billion in 2015 compared with $ 2.0 billion in 2014 and $ 2.0 billion in 2013 ."]]}, "answers": ["59%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000555", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on discb common stock from september 18 , 2008 to december 31 , 2008?\nReference time interval: 2008-09-18 00:00:00 to 2009-01-01 00:00:00", "chosen": "-21.47.", "rejected": "227.11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on discb common stock <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on discb common stock <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on discb common stock from september 18 , 2008 to december 31 , 2008?", "reference_time": {"start": "2008-09-18 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2008-12-31", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-21.47": [{"start": "2008-09-18 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2008-12-31"}], "227.11%": [{"start": "2008-09-18 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2012-12-31"}]}, "chosen_source": {"id": "DISCA/2008/page_141.pdf-3", "qa": {"question": "what was the percentage cumulative total shareholder return on discb common stock from september 18 , 2008 to december 31 , 2008?", "answer": "-21.47", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "78.53", "arg2": "const_100", "res": "-21.47"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "-21.47%"}], "program": "subtract(78.53, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of september 18 2008 is $ 100.00 ; the discb of september 30 2008 is $ 105.54 ; the discb of december 31 2008 is $ 78.53 ;"}, "exe_ans": -0.2147, "tfidftopn": {"text_3": "september 18 , september 30 , december 31 , 2008 2008 2008 .", "text_0": "2 0 0 8 a n n u a l r e p o r t stock performance graph the following graph sets forth the performance of our series a common , series b common stock , and series c common stock for the period september 18 , 2008 through december 31 , 2008 as compared with the performance of the standard and poor 2019s 500 index and a peer group index which consists of the walt disney company , time warner inc. , cbs corporation class b common stock , viacom , inc ."}, "program_re": "divide(subtract(78.53, const_100), const_100)", "model_input": [["text_2", "the graph assumes $ 100 originally invested on september 18 , 2006 and that all subsequent dividends were reinvested in additional shares ."], ["table_2", "the discb of september 18 2008 is $ 100.00 ; the discb of september 30 2008 is $ 105.54 ; the discb of december 31 2008 is $ 78.53 ;"], ["table_4", "the s&p 500 of september 18 2008 is $ 100.00 ; the s&p 500 of september 30 2008 is $ 96.54 ; the s&p 500 of december 31 2008 is $ 74.86 ;"]]}, "answers": ["-21.47"]}, "rejected_source": {"id": "DISCA/2012/page_54.pdf-3", "qa": {"question": "what was the percentage cumulative total shareholder return on discb common stock from september 18 , 2008 to december 31 , 2012?", "answer": "227.11%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "327.11", "arg2": "const_100", "res": "227.11"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "227.11%"}], "program": "subtract(327.11, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of december 312008 is $ 78.53 ; the discb of december 312009 is $ 162.82 ; the discb of december 312010 is $ 225.95 ; the discb of december 312011 is $ 217.56 ; the discb of december 312012 is $ 327.11 ;"}, "exe_ans": 2.2711, "tfidftopn": {"text_2": "the graph assumes $ 100 originally invested on september 18 , 2008 , the date upon which our common stock began trading , in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the period september 18 , 2008 through december 31 , 2008 and the years ended december 31 , 2009 , 2010 , 2011 , and 2012 .", "text_0": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , news corporation class a common stock , scripps network interactive , inc. , time warner , inc. , viacom , inc ."}, "program_re": "divide(subtract(327.11, const_100), const_100)", "model_input": [["text_2", "the graph assumes $ 100 originally invested on september 18 , 2008 , the date upon which our common stock began trading , in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the period september 18 , 2008 through december 31 , 2008 and the years ended december 31 , 2009 , 2010 , 2011 , and 2012 ."], ["table_2", "the discb of december 312008 is $ 78.53 ; the discb of december 312009 is $ 162.82 ; the discb of december 312010 is $ 225.95 ; the discb of december 312011 is $ 217.56 ; the discb of december 312012 is $ 327.11 ;"], ["table_3", "the disck of december 312008 is $ 83.69 ; the disck of december 312009 is $ 165.75 ; the disck of december 312010 is $ 229.31 ; the disck of december 312011 is $ 235.63 ; the disck of december 312012 is $ 365.63 ;"]]}, "answers": ["227.11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000556", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on discb common stock from september 18 , 2008 to december 31 , 2012?\nReference time interval: 2008-09-18 00:00:00 to 2013-01-01 00:00:00", "chosen": "227.11%.", "rejected": "-21.47.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on discb common stock <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on discb common stock <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on discb common stock from september 18 , 2008 to december 31 , 2012?", "reference_time": {"start": "2008-09-18 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2012-12-31", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-21.47": [{"start": "2008-09-18 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2008-12-31"}], "227.11%": [{"start": "2008-09-18 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2012-12-31"}]}, "chosen_source": {"id": "DISCA/2012/page_54.pdf-3", "qa": {"question": "what was the percentage cumulative total shareholder return on discb common stock from september 18 , 2008 to december 31 , 2012?", "answer": "227.11%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "327.11", "arg2": "const_100", "res": "227.11"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "227.11%"}], "program": "subtract(327.11, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of december 312008 is $ 78.53 ; the discb of december 312009 is $ 162.82 ; the discb of december 312010 is $ 225.95 ; the discb of december 312011 is $ 217.56 ; the discb of december 312012 is $ 327.11 ;"}, "exe_ans": 2.2711, "tfidftopn": {"text_2": "the graph assumes $ 100 originally invested on september 18 , 2008 , the date upon which our common stock began trading , in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the period september 18 , 2008 through december 31 , 2008 and the years ended december 31 , 2009 , 2010 , 2011 , and 2012 .", "text_0": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , news corporation class a common stock , scripps network interactive , inc. , time warner , inc. , viacom , inc ."}, "program_re": "divide(subtract(327.11, const_100), const_100)", "model_input": [["text_2", "the graph assumes $ 100 originally invested on september 18 , 2008 , the date upon which our common stock began trading , in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the period september 18 , 2008 through december 31 , 2008 and the years ended december 31 , 2009 , 2010 , 2011 , and 2012 ."], ["table_2", "the discb of december 312008 is $ 78.53 ; the discb of december 312009 is $ 162.82 ; the discb of december 312010 is $ 225.95 ; the discb of december 312011 is $ 217.56 ; the discb of december 312012 is $ 327.11 ;"], ["table_3", "the disck of december 312008 is $ 83.69 ; the disck of december 312009 is $ 165.75 ; the disck of december 312010 is $ 229.31 ; the disck of december 312011 is $ 235.63 ; the disck of december 312012 is $ 365.63 ;"]]}, "answers": ["227.11%"]}, "rejected_source": {"id": "DISCA/2008/page_141.pdf-3", "qa": {"question": "what was the percentage cumulative total shareholder return on discb common stock from september 18 , 2008 to december 31 , 2008?", "answer": "-21.47", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "78.53", "arg2": "const_100", "res": "-21.47"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "-21.47%"}], "program": "subtract(78.53, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of september 18 2008 is $ 100.00 ; the discb of september 30 2008 is $ 105.54 ; the discb of december 31 2008 is $ 78.53 ;"}, "exe_ans": -0.2147, "tfidftopn": {"text_3": "september 18 , september 30 , december 31 , 2008 2008 2008 .", "text_0": "2 0 0 8 a n n u a l r e p o r t stock performance graph the following graph sets forth the performance of our series a common , series b common stock , and series c common stock for the period september 18 , 2008 through december 31 , 2008 as compared with the performance of the standard and poor 2019s 500 index and a peer group index which consists of the walt disney company , time warner inc. , cbs corporation class b common stock , viacom , inc ."}, "program_re": "divide(subtract(78.53, const_100), const_100)", "model_input": [["text_2", "the graph assumes $ 100 originally invested on september 18 , 2006 and that all subsequent dividends were reinvested in additional shares ."], ["table_2", "the discb of september 18 2008 is $ 100.00 ; the discb of september 30 2008 is $ 105.54 ; the discb of december 31 2008 is $ 78.53 ;"], ["table_4", "the s&p 500 of september 18 2008 is $ 100.00 ; the s&p 500 of september 30 2008 is $ 96.54 ; the s&p 500 of december 31 2008 is $ 74.86 ;"]]}, "answers": ["-21.47"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000557", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in cash payments related to exit costs at pmi from 2014 to 2015 in millions?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-128.", "rejected": "339.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what was the difference in cash payments related to exit costs at pmi <TIME> in millions?", "doc_prefix": "PM", "base_question": "what was the difference in cash payments related to exit costs at pmi <TIME> in millions?", "original_question": "what was the difference in cash payments related to exit costs at pmi from 2014 to 2015 in millions?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"339": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-128": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "PM/2015/page_103.pdf-2", "qa": {"question": "what was the difference in cash payments related to exit costs at pmi from 2014 to 2015 in millions?", "answer": "-128", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "minus2-1", "arg1": "232", "arg2": "360", "res": "-128"}], "program": "subtract(232, 360)", "gold_inds": {"text_1": "cash payments related to exit costs at pmi were $ 232 million , $ 360 million and $ 21 million for the years ended december 31 , 2015 , 2014 and 2013 , respectively ."}, "exe_ans": -128.0, "tfidftopn": {"text_2": "future cash payments for exit costs incurred to date are expected to be approximately $ 54 million , and will be substantially paid by the end of 2017 .", "text_0": "movement in exit cost liabilities the movement in exit cost liabilities for pmi was as follows : ( in millions ) ."}, "program_re": "subtract(232, 360)", "model_input": [["table_6", "liability balance january 1 2014 the cash spent of $ 308 is -232 ( 232 ) ;"], ["text_1", "cash payments related to exit costs at pmi were $ 232 million , $ 360 million and $ 21 million for the years ended december 31 , 2015 , 2014 and 2013 , respectively ."], ["text_13", "contract termination charges during 2013 , pmi recorded exit costs of $ 258 million related to the termination of distribution agreements in eastern europe , middle east & africa ( due to a new business model in egypt ) and asia ."]]}, "answers": ["-128"]}, "rejected_source": {"id": "PM/2015/page_103.pdf-4", "qa": {"question": "what was the difference in cash payments related to exit costs at pmi from 2013 to 2014 in millions?", "answer": "339", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "360", "arg2": "21", "res": "339"}], "program": "subtract(360, 21)", "gold_inds": {"text_1": "cash payments related to exit costs at pmi were $ 232 million , $ 360 million and $ 21 million for the years ended december 31 , 2015 , 2014 and 2013 , respectively ."}, "exe_ans": 339.0, "tfidftopn": {"text_2": "future cash payments for exit costs incurred to date are expected to be approximately $ 54 million , and will be substantially paid by the end of 2017 .", "text_0": "movement in exit cost liabilities the movement in exit cost liabilities for pmi was as follows : ( in millions ) ."}, "program_re": "subtract(360, 21)", "model_input": [["table_6", "liability balance january 1 2014 the cash spent of $ 308 is -232 ( 232 ) ;"], ["text_1", "cash payments related to exit costs at pmi were $ 232 million , $ 360 million and $ 21 million for the years ended december 31 , 2015 , 2014 and 2013 , respectively ."], ["text_13", "contract termination charges during 2013 , pmi recorded exit costs of $ 258 million related to the termination of distribution agreements in eastern europe , middle east & africa ( due to a new business model in egypt ) and asia ."]]}, "answers": ["339"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000558", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in cash payments related to exit costs at pmi from 2013 to 2014 in millions?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "339.", "rejected": "-128.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what was the difference in cash payments related to exit costs at pmi <TIME> in millions?", "doc_prefix": "PM", "base_question": "what was the difference in cash payments related to exit costs at pmi <TIME> in millions?", "original_question": "what was the difference in cash payments related to exit costs at pmi from 2013 to 2014 in millions?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"339": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-128": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "PM/2015/page_103.pdf-4", "qa": {"question": "what was the difference in cash payments related to exit costs at pmi from 2013 to 2014 in millions?", "answer": "339", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "360", "arg2": "21", "res": "339"}], "program": "subtract(360, 21)", "gold_inds": {"text_1": "cash payments related to exit costs at pmi were $ 232 million , $ 360 million and $ 21 million for the years ended december 31 , 2015 , 2014 and 2013 , respectively ."}, "exe_ans": 339.0, "tfidftopn": {"text_2": "future cash payments for exit costs incurred to date are expected to be approximately $ 54 million , and will be substantially paid by the end of 2017 .", "text_0": "movement in exit cost liabilities the movement in exit cost liabilities for pmi was as follows : ( in millions ) ."}, "program_re": "subtract(360, 21)", "model_input": [["table_6", "liability balance january 1 2014 the cash spent of $ 308 is -232 ( 232 ) ;"], ["text_1", "cash payments related to exit costs at pmi were $ 232 million , $ 360 million and $ 21 million for the years ended december 31 , 2015 , 2014 and 2013 , respectively ."], ["text_13", "contract termination charges during 2013 , pmi recorded exit costs of $ 258 million related to the termination of distribution agreements in eastern europe , middle east & africa ( due to a new business model in egypt ) and asia ."]]}, "answers": ["339"]}, "rejected_source": {"id": "PM/2015/page_103.pdf-2", "qa": {"question": "what was the difference in cash payments related to exit costs at pmi from 2014 to 2015 in millions?", "answer": "-128", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "minus2-1", "arg1": "232", "arg2": "360", "res": "-128"}], "program": "subtract(232, 360)", "gold_inds": {"text_1": "cash payments related to exit costs at pmi were $ 232 million , $ 360 million and $ 21 million for the years ended december 31 , 2015 , 2014 and 2013 , respectively ."}, "exe_ans": -128.0, "tfidftopn": {"text_2": "future cash payments for exit costs incurred to date are expected to be approximately $ 54 million , and will be substantially paid by the end of 2017 .", "text_0": "movement in exit cost liabilities the movement in exit cost liabilities for pmi was as follows : ( in millions ) ."}, "program_re": "subtract(232, 360)", "model_input": [["table_6", "liability balance january 1 2014 the cash spent of $ 308 is -232 ( 232 ) ;"], ["text_1", "cash payments related to exit costs at pmi were $ 232 million , $ 360 million and $ 21 million for the years ended december 31 , 2015 , 2014 and 2013 , respectively ."], ["text_13", "contract termination charges during 2013 , pmi recorded exit costs of $ 258 million related to the termination of distribution agreements in eastern europe , middle east & africa ( due to a new business model in egypt ) and asia ."]]}, "answers": ["-128"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000559", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum rental payments are due in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "13%.", "rejected": "14%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of future minimum rental payments are due <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of future minimum rental payments are due <TIME>?", "original_question": "what percentage of future minimum rental payments are due in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}, {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "13%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "15%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}, {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2013/page_184.pdf-2", "qa": {"question": "what percentage of future minimum rental payments are due in 2015?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "340", "arg2": "2695", "res": "13%"}], "program": "divide(340, 2695)", "gold_inds": {"table_2": "in millions the 2015 of as of december 2013 is 340 ;", "table_7": "in millions the total of as of december 2013 is $ 2695 ;"}, "exe_ans": 0.12616, "tfidftopn": {"text_19": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(340, 2695)", "model_input": [["table_1", "in millions the 2014 of as of december 2013 is $ 387 ;"], ["table_2", "in millions the 2015 of as of december 2013 is 340 ;"], ["table_7", "in millions the total of as of december 2013 is $ 2695 ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "GS/2017/page_176.pdf-3", "qa": {"question": "what percentage of future minimum rental payments are due in 2019?", "answer": "14%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "282", "arg2": "1964", "res": "14%"}], "program": "divide(282, 1964)", "gold_inds": {"table_2": "$ in millions the 2019 of as of december 2017 is 282 ;", "table_7": "$ in millions the total of as of december 2017 is $ 1964 ;"}, "exe_ans": 0.14358, "tfidftopn": {"text_25": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(282, 1964)", "model_input": [["table_2", "$ in millions the 2019 of as of december 2017 is 282 ;"], ["table_5", "$ in millions the 2022 of as of december 2017 is 145 ;"], ["table_7", "$ in millions the total of as of december 2017 is $ 1964 ;"]]}, "answers": ["14%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000560", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum rental payments are due in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "13%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of future minimum rental payments are due <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of future minimum rental payments are due <TIME>?", "original_question": "what percentage of future minimum rental payments are due in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}, {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "13%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "15%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}, {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2013/page_184.pdf-2", "qa": {"question": "what percentage of future minimum rental payments are due in 2015?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "340", "arg2": "2695", "res": "13%"}], "program": "divide(340, 2695)", "gold_inds": {"table_2": "in millions the 2015 of as of december 2013 is 340 ;", "table_7": "in millions the total of as of december 2013 is $ 2695 ;"}, "exe_ans": 0.12616, "tfidftopn": {"text_19": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(340, 2695)", "model_input": [["table_1", "in millions the 2014 of as of december 2013 is $ 387 ;"], ["table_2", "in millions the 2015 of as of december 2013 is 340 ;"], ["table_7", "in millions the total of as of december 2013 is $ 2695 ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "GS/2016/page_183.pdf-3", "qa": {"question": "what percentage of future minimum rental payments are due in 2018?", "answer": "15%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "282", "arg2": "1941", "res": "15%"}], "program": "divide(282, 1941)", "gold_inds": {"table_2": "$ in millions the 2018 of as of december 2016 is 282 ;", "table_7": "$ in millions the total of as of december 2016 is $ 1941 ;"}, "exe_ans": 0.14529, "tfidftopn": {"text_25": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(282, 1941)", "model_input": [["table_1", "$ in millions the 2017 of as of december 2016 is $ 290 ;"], ["table_2", "$ in millions the 2018 of as of december 2016 is 282 ;"], ["table_7", "$ in millions the total of as of december 2016 is $ 1941 ;"]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000561", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum rental payments are due in 2019?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "14%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of future minimum rental payments are due <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of future minimum rental payments are due <TIME>?", "original_question": "what percentage of future minimum rental payments are due in 2019?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}, {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "13%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "15%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}, {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2017/page_176.pdf-3", "qa": {"question": "what percentage of future minimum rental payments are due in 2019?", "answer": "14%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "282", "arg2": "1964", "res": "14%"}], "program": "divide(282, 1964)", "gold_inds": {"table_2": "$ in millions the 2019 of as of december 2017 is 282 ;", "table_7": "$ in millions the total of as of december 2017 is $ 1964 ;"}, "exe_ans": 0.14358, "tfidftopn": {"text_25": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(282, 1964)", "model_input": [["table_2", "$ in millions the 2019 of as of december 2017 is 282 ;"], ["table_5", "$ in millions the 2022 of as of december 2017 is 145 ;"], ["table_7", "$ in millions the total of as of december 2017 is $ 1964 ;"]]}, "answers": ["14%"]}, "rejected_source": {"id": "GS/2013/page_184.pdf-2", "qa": {"question": "what percentage of future minimum rental payments are due in 2015?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "340", "arg2": "2695", "res": "13%"}], "program": "divide(340, 2695)", "gold_inds": {"table_2": "in millions the 2015 of as of december 2013 is 340 ;", "table_7": "in millions the total of as of december 2013 is $ 2695 ;"}, "exe_ans": 0.12616, "tfidftopn": {"text_19": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(340, 2695)", "model_input": [["table_1", "in millions the 2014 of as of december 2013 is $ 387 ;"], ["table_2", "in millions the 2015 of as of december 2013 is 340 ;"], ["table_7", "in millions the total of as of december 2013 is $ 2695 ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000562", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum rental payments are due in 2019?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "14%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of future minimum rental payments are due <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of future minimum rental payments are due <TIME>?", "original_question": "what percentage of future minimum rental payments are due in 2019?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}, {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "13%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "15%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}, {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2017/page_176.pdf-3", "qa": {"question": "what percentage of future minimum rental payments are due in 2019?", "answer": "14%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "282", "arg2": "1964", "res": "14%"}], "program": "divide(282, 1964)", "gold_inds": {"table_2": "$ in millions the 2019 of as of december 2017 is 282 ;", "table_7": "$ in millions the total of as of december 2017 is $ 1964 ;"}, "exe_ans": 0.14358, "tfidftopn": {"text_25": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(282, 1964)", "model_input": [["table_2", "$ in millions the 2019 of as of december 2017 is 282 ;"], ["table_5", "$ in millions the 2022 of as of december 2017 is 145 ;"], ["table_7", "$ in millions the total of as of december 2017 is $ 1964 ;"]]}, "answers": ["14%"]}, "rejected_source": {"id": "GS/2016/page_183.pdf-3", "qa": {"question": "what percentage of future minimum rental payments are due in 2018?", "answer": "15%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "282", "arg2": "1941", "res": "15%"}], "program": "divide(282, 1941)", "gold_inds": {"table_2": "$ in millions the 2018 of as of december 2016 is 282 ;", "table_7": "$ in millions the total of as of december 2016 is $ 1941 ;"}, "exe_ans": 0.14529, "tfidftopn": {"text_25": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(282, 1941)", "model_input": [["table_1", "$ in millions the 2017 of as of december 2016 is $ 290 ;"], ["table_2", "$ in millions the 2018 of as of december 2016 is 282 ;"], ["table_7", "$ in millions the total of as of december 2016 is $ 1941 ;"]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000563", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum rental payments are due in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "15%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of future minimum rental payments are due <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of future minimum rental payments are due <TIME>?", "original_question": "what percentage of future minimum rental payments are due in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}, {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "13%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "15%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}, {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2016/page_183.pdf-3", "qa": {"question": "what percentage of future minimum rental payments are due in 2018?", "answer": "15%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "282", "arg2": "1941", "res": "15%"}], "program": "divide(282, 1941)", "gold_inds": {"table_2": "$ in millions the 2018 of as of december 2016 is 282 ;", "table_7": "$ in millions the total of as of december 2016 is $ 1941 ;"}, "exe_ans": 0.14529, "tfidftopn": {"text_25": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(282, 1941)", "model_input": [["table_1", "$ in millions the 2017 of as of december 2016 is $ 290 ;"], ["table_2", "$ in millions the 2018 of as of december 2016 is 282 ;"], ["table_7", "$ in millions the total of as of december 2016 is $ 1941 ;"]]}, "answers": ["15%"]}, "rejected_source": {"id": "GS/2013/page_184.pdf-2", "qa": {"question": "what percentage of future minimum rental payments are due in 2015?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "340", "arg2": "2695", "res": "13%"}], "program": "divide(340, 2695)", "gold_inds": {"table_2": "in millions the 2015 of as of december 2013 is 340 ;", "table_7": "in millions the total of as of december 2013 is $ 2695 ;"}, "exe_ans": 0.12616, "tfidftopn": {"text_19": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(340, 2695)", "model_input": [["table_1", "in millions the 2014 of as of december 2013 is $ 387 ;"], ["table_2", "in millions the 2015 of as of december 2013 is 340 ;"], ["table_7", "in millions the total of as of december 2013 is $ 2695 ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000564", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum rental payments are due in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "15%.", "rejected": "14%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of future minimum rental payments are due <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of future minimum rental payments are due <TIME>?", "original_question": "what percentage of future minimum rental payments are due in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}, {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "13%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "15%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}, {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2016/page_183.pdf-3", "qa": {"question": "what percentage of future minimum rental payments are due in 2018?", "answer": "15%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "282", "arg2": "1941", "res": "15%"}], "program": "divide(282, 1941)", "gold_inds": {"table_2": "$ in millions the 2018 of as of december 2016 is 282 ;", "table_7": "$ in millions the total of as of december 2016 is $ 1941 ;"}, "exe_ans": 0.14529, "tfidftopn": {"text_25": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(282, 1941)", "model_input": [["table_1", "$ in millions the 2017 of as of december 2016 is $ 290 ;"], ["table_2", "$ in millions the 2018 of as of december 2016 is 282 ;"], ["table_7", "$ in millions the total of as of december 2016 is $ 1941 ;"]]}, "answers": ["15%"]}, "rejected_source": {"id": "GS/2017/page_176.pdf-3", "qa": {"question": "what percentage of future minimum rental payments are due in 2019?", "answer": "14%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "282", "arg2": "1964", "res": "14%"}], "program": "divide(282, 1964)", "gold_inds": {"table_2": "$ in millions the 2019 of as of december 2017 is 282 ;", "table_7": "$ in millions the total of as of december 2017 is $ 1964 ;"}, "exe_ans": 0.14358, "tfidftopn": {"text_25": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(282, 1964)", "model_input": [["table_2", "$ in millions the 2019 of as of december 2017 is 282 ;"], ["table_5", "$ in millions the 2022 of as of december 2017 is 145 ;"], ["table_7", "$ in millions the total of as of december 2017 is $ 1964 ;"]]}, "answers": ["14%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000565", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2012 what percentage of total subsidiary trusts obligations are due to bank subsidiary?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "41%.", "rejected": "49%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || <TIME> what percentage of total subsidiary trusts obligations are due to bank subsidiary?", "doc_prefix": "C", "base_question": "<TIME> what percentage of total subsidiary trusts obligations are due to bank subsidiary?", "original_question": "in 2012 what percentage of total subsidiary trusts obligations are due to bank subsidiary?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "41%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "C/2010/page_229.pdf-4", "qa": {"question": "in 2012 what percentage of total subsidiary trusts obligations are due to bank subsidiary?", "answer": "41%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "38280", "arg2": "94234", "res": "41%"}], "program": "divide(38280, 94234)", "gold_inds": {"table_1": "in millions of dollars the bank of 2011 is $ 35066 ; the bank of 2012 is $ 38280 ; the bank of 2013 is $ 8013 ; the bank of 2014 is $ 7620 ; the bank of 2015 is $ 6380 ; the bank of thereafter is $ 17875 ;", "table_4": "in millions of dollars the total of 2011 is $ 71473 ; the total of 2012 is $ 94234 ; the total of 2013 is $ 37219 ; the total of 2014 is $ 31903 ; the total of 2015 is $ 21927 ; the total of thereafter is $ 124427 ;"}, "exe_ans": 0.40622, "tfidftopn": {"text_15": "these subsidiary trusts have no assets , operations , revenues or cash flows other than those related to the issuance , administration , and repayment of the subsidiary trusts and the subsidiary trusts 2019 common securities ."}, "program_re": "divide(38280, 94234)", "model_input": [["table_1", "in millions of dollars the bank of 2011 is $ 35066 ; the bank of 2012 is $ 38280 ; the bank of 2013 is $ 8013 ; the bank of 2014 is $ 7620 ; the bank of 2015 is $ 6380 ; the bank of thereafter is $ 17875 ;"], ["table_2", "in millions of dollars the non-bank of 2011 is 15213 ; the non-bank of 2012 is 25950 ; the non-bank of 2013 is 7858 ; the non-bank of 2014 is 5187 ; the non-bank of 2015 is 3416 ; the non-bank of thereafter is 18381 ;"], ["table_4", "in millions of dollars the total of 2011 is $ 71473 ; the total of 2012 is $ 94234 ; the total of 2013 is $ 37219 ; the total of 2014 is $ 31903 ; the total of 2015 is $ 21927 ; the total of thereafter is $ 124427 ;"]]}, "answers": ["41%"]}, "rejected_source": {"id": "C/2010/page_229.pdf-3", "qa": {"question": "in 2011 what percentage of total subsidiary trusts obligations are due to bank subsidiary?", "answer": "49%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "35066", "arg2": "71473", "res": "49%"}], "program": "divide(35066, 71473)", "gold_inds": {"table_1": "in millions of dollars the bank of 2011 is $ 35066 ; the bank of 2012 is $ 38280 ; the bank of 2013 is $ 8013 ; the bank of 2014 is $ 7620 ; the bank of 2015 is $ 6380 ; the bank of thereafter is $ 17875 ;", "table_4": "in millions of dollars the total of 2011 is $ 71473 ; the total of 2012 is $ 94234 ; the total of 2013 is $ 37219 ; the total of 2014 is $ 31903 ; the total of 2015 is $ 21927 ; the total of thereafter is $ 124427 ;"}, "exe_ans": 0.49062, "tfidftopn": {"text_15": "these subsidiary trusts have no assets , operations , revenues or cash flows other than those related to the issuance , administration , and repayment of the subsidiary trusts and the subsidiary trusts 2019 common securities ."}, "program_re": "divide(35066, 71473)", "model_input": [["table_1", "in millions of dollars the bank of 2011 is $ 35066 ; the bank of 2012 is $ 38280 ; the bank of 2013 is $ 8013 ; the bank of 2014 is $ 7620 ; the bank of 2015 is $ 6380 ; the bank of thereafter is $ 17875 ;"], ["table_2", "in millions of dollars the non-bank of 2011 is 15213 ; the non-bank of 2012 is 25950 ; the non-bank of 2013 is 7858 ; the non-bank of 2014 is 5187 ; the non-bank of 2015 is 3416 ; the non-bank of thereafter is 18381 ;"], ["table_4", "in millions of dollars the total of 2011 is $ 71473 ; the total of 2012 is $ 94234 ; the total of 2013 is $ 37219 ; the total of 2014 is $ 31903 ; the total of 2015 is $ 21927 ; the total of thereafter is $ 124427 ;"]]}, "answers": ["49%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000566", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2011 what percentage of total subsidiary trusts obligations are due to bank subsidiary?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "49%.", "rejected": "41%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || <TIME> what percentage of total subsidiary trusts obligations are due to bank subsidiary?", "doc_prefix": "C", "base_question": "<TIME> what percentage of total subsidiary trusts obligations are due to bank subsidiary?", "original_question": "in 2011 what percentage of total subsidiary trusts obligations are due to bank subsidiary?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "41%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "C/2010/page_229.pdf-3", "qa": {"question": "in 2011 what percentage of total subsidiary trusts obligations are due to bank subsidiary?", "answer": "49%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "35066", "arg2": "71473", "res": "49%"}], "program": "divide(35066, 71473)", "gold_inds": {"table_1": "in millions of dollars the bank of 2011 is $ 35066 ; the bank of 2012 is $ 38280 ; the bank of 2013 is $ 8013 ; the bank of 2014 is $ 7620 ; the bank of 2015 is $ 6380 ; the bank of thereafter is $ 17875 ;", "table_4": "in millions of dollars the total of 2011 is $ 71473 ; the total of 2012 is $ 94234 ; the total of 2013 is $ 37219 ; the total of 2014 is $ 31903 ; the total of 2015 is $ 21927 ; the total of thereafter is $ 124427 ;"}, "exe_ans": 0.49062, "tfidftopn": {"text_15": "these subsidiary trusts have no assets , operations , revenues or cash flows other than those related to the issuance , administration , and repayment of the subsidiary trusts and the subsidiary trusts 2019 common securities ."}, "program_re": "divide(35066, 71473)", "model_input": [["table_1", "in millions of dollars the bank of 2011 is $ 35066 ; the bank of 2012 is $ 38280 ; the bank of 2013 is $ 8013 ; the bank of 2014 is $ 7620 ; the bank of 2015 is $ 6380 ; the bank of thereafter is $ 17875 ;"], ["table_2", "in millions of dollars the non-bank of 2011 is 15213 ; the non-bank of 2012 is 25950 ; the non-bank of 2013 is 7858 ; the non-bank of 2014 is 5187 ; the non-bank of 2015 is 3416 ; the non-bank of thereafter is 18381 ;"], ["table_4", "in millions of dollars the total of 2011 is $ 71473 ; the total of 2012 is $ 94234 ; the total of 2013 is $ 37219 ; the total of 2014 is $ 31903 ; the total of 2015 is $ 21927 ; the total of thereafter is $ 124427 ;"]]}, "answers": ["49%"]}, "rejected_source": {"id": "C/2010/page_229.pdf-4", "qa": {"question": "in 2012 what percentage of total subsidiary trusts obligations are due to bank subsidiary?", "answer": "41%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "38280", "arg2": "94234", "res": "41%"}], "program": "divide(38280, 94234)", "gold_inds": {"table_1": "in millions of dollars the bank of 2011 is $ 35066 ; the bank of 2012 is $ 38280 ; the bank of 2013 is $ 8013 ; the bank of 2014 is $ 7620 ; the bank of 2015 is $ 6380 ; the bank of thereafter is $ 17875 ;", "table_4": "in millions of dollars the total of 2011 is $ 71473 ; the total of 2012 is $ 94234 ; the total of 2013 is $ 37219 ; the total of 2014 is $ 31903 ; the total of 2015 is $ 21927 ; the total of thereafter is $ 124427 ;"}, "exe_ans": 0.40622, "tfidftopn": {"text_15": "these subsidiary trusts have no assets , operations , revenues or cash flows other than those related to the issuance , administration , and repayment of the subsidiary trusts and the subsidiary trusts 2019 common securities ."}, "program_re": "divide(38280, 94234)", "model_input": [["table_1", "in millions of dollars the bank of 2011 is $ 35066 ; the bank of 2012 is $ 38280 ; the bank of 2013 is $ 8013 ; the bank of 2014 is $ 7620 ; the bank of 2015 is $ 6380 ; the bank of thereafter is $ 17875 ;"], ["table_2", "in millions of dollars the non-bank of 2011 is 15213 ; the non-bank of 2012 is 25950 ; the non-bank of 2013 is 7858 ; the non-bank of 2014 is 5187 ; the non-bank of 2015 is 3416 ; the non-bank of thereafter is 18381 ;"], ["table_4", "in millions of dollars the total of 2011 is $ 71473 ; the total of 2012 is $ 94234 ; the total of 2013 is $ 37219 ; the total of 2014 is $ 31903 ; the total of 2015 is $ 21927 ; the total of thereafter is $ 124427 ;"]]}, "answers": ["41%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000567", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 due in 2016 are purchase obligations?\nReference time interval: 2014-12-31 00:00:00 to 2015-01-01 00:00:00", "chosen": "12%.", "rejected": "79%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> due <TIME> are purchase obligations?", "doc_prefix": "IP", "base_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> due <TIME> are purchase obligations?", "original_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 due in 2016 are purchase obligations?", "reference_time": {"start": "2014-12-31 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"79%": [{"start": "2014-12-31 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014-12-31"}], "12%": [{"start": "2014-12-31 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014-12-31"}]}, "chosen_source": {"id": "IP/2014/page_71.pdf-2", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 due in 2016 are purchase obligations?", "answer": "12%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "761", "arg2": "6612", "res": "12%"}], "program": "divide(761, 6612)", "gold_inds": {"table_4": "in millions the purchase obligations ( c ) of 2015 is 3266 ; the purchase obligations ( c ) of 2016 is 761 ; the purchase obligations ( c ) of 2017 is 583 ; the purchase obligations ( c ) of 2018 is 463 ; the purchase obligations ( c ) of 2019 is 422 ; the purchase obligations ( c ) of thereafter is 1690 ;", "table_5": "in millions the total ( d ) of 2015 is $ 4150 ; the total ( d ) of 2016 is $ 6612 ; the total ( d ) of 2017 is $ 738 ; the total ( d ) of 2018 is $ 1755 ; the total ( d ) of 2019 is $ 1072 ; the total ( d ) of thereafter is $ 7965 ;"}, "exe_ans": 0.11509, "tfidftopn": {"text_26": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 , were as follows: ."}, "program_re": "divide(761, 6612)", "model_input": [["table_3", "in millions the lease obligations of 2015 is 142 ; the lease obligations of 2016 is 106 ; the lease obligations of 2017 is 84 ; the lease obligations of 2018 is 63 ; the lease obligations of 2019 is 45 ; the lease obligations of thereafter is 91 ;"], ["table_4", "in millions the purchase obligations ( c ) of 2015 is 3266 ; the purchase obligations ( c ) of 2016 is 761 ; the purchase obligations ( c ) of 2017 is 583 ; the purchase obligations ( c ) of 2018 is 463 ; the purchase obligations ( c ) of 2019 is 422 ; the purchase obligations ( c ) of thereafter is 1690 ;"], ["table_5", "in millions the total ( d ) of 2015 is $ 4150 ; the total ( d ) of 2016 is $ 6612 ; the total ( d ) of 2017 is $ 738 ; the total ( d ) of 2018 is $ 1755 ; the total ( d ) of 2019 is $ 1072 ; the total ( d ) of thereafter is $ 7965 ;"]]}, "answers": ["12%"]}, "rejected_source": {"id": "IP/2014/page_71.pdf-1", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 due in 2015 are purchase obligations?", "answer": "79%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3266", "arg2": "4150", "res": "79%"}], "program": "divide(3266, 4150)", "gold_inds": {"table_4": "in millions the purchase obligations ( c ) of 2015 is 3266 ; the purchase obligations ( c ) of 2016 is 761 ; the purchase obligations ( c ) of 2017 is 583 ; the purchase obligations ( c ) of 2018 is 463 ; the purchase obligations ( c ) of 2019 is 422 ; the purchase obligations ( c ) of thereafter is 1690 ;", "table_5": "in millions the total ( d ) of 2015 is $ 4150 ; the total ( d ) of 2016 is $ 6612 ; the total ( d ) of 2017 is $ 738 ; the total ( d ) of 2018 is $ 1755 ; the total ( d ) of 2019 is $ 1072 ; the total ( d ) of thereafter is $ 7965 ;"}, "exe_ans": 0.78699, "tfidftopn": {"text_26": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 , were as follows: ."}, "program_re": "divide(3266, 4150)", "model_input": [["table_3", "in millions the lease obligations of 2015 is 142 ; the lease obligations of 2016 is 106 ; the lease obligations of 2017 is 84 ; the lease obligations of 2018 is 63 ; the lease obligations of 2019 is 45 ; the lease obligations of thereafter is 91 ;"], ["table_4", "in millions the purchase obligations ( c ) of 2015 is 3266 ; the purchase obligations ( c ) of 2016 is 761 ; the purchase obligations ( c ) of 2017 is 583 ; the purchase obligations ( c ) of 2018 is 463 ; the purchase obligations ( c ) of 2019 is 422 ; the purchase obligations ( c ) of thereafter is 1690 ;"], ["table_5", "in millions the total ( d ) of 2015 is $ 4150 ; the total ( d ) of 2016 is $ 6612 ; the total ( d ) of 2017 is $ 738 ; the total ( d ) of 2018 is $ 1755 ; the total ( d ) of 2019 is $ 1072 ; the total ( d ) of thereafter is $ 7965 ;"]]}, "answers": ["79%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000568", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 due in 2015 are purchase obligations?\nReference time interval: 2014-12-31 00:00:00 to 2015-01-01 00:00:00", "chosen": "79%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> due <TIME> are purchase obligations?", "doc_prefix": "IP", "base_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> due <TIME> are purchase obligations?", "original_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 due in 2015 are purchase obligations?", "reference_time": {"start": "2014-12-31 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"79%": [{"start": "2014-12-31 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014-12-31"}], "12%": [{"start": "2014-12-31 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014-12-31"}]}, "chosen_source": {"id": "IP/2014/page_71.pdf-1", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 due in 2015 are purchase obligations?", "answer": "79%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3266", "arg2": "4150", "res": "79%"}], "program": "divide(3266, 4150)", "gold_inds": {"table_4": "in millions the purchase obligations ( c ) of 2015 is 3266 ; the purchase obligations ( c ) of 2016 is 761 ; the purchase obligations ( c ) of 2017 is 583 ; the purchase obligations ( c ) of 2018 is 463 ; the purchase obligations ( c ) of 2019 is 422 ; the purchase obligations ( c ) of thereafter is 1690 ;", "table_5": "in millions the total ( d ) of 2015 is $ 4150 ; the total ( d ) of 2016 is $ 6612 ; the total ( d ) of 2017 is $ 738 ; the total ( d ) of 2018 is $ 1755 ; the total ( d ) of 2019 is $ 1072 ; the total ( d ) of thereafter is $ 7965 ;"}, "exe_ans": 0.78699, "tfidftopn": {"text_26": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 , were as follows: ."}, "program_re": "divide(3266, 4150)", "model_input": [["table_3", "in millions the lease obligations of 2015 is 142 ; the lease obligations of 2016 is 106 ; the lease obligations of 2017 is 84 ; the lease obligations of 2018 is 63 ; the lease obligations of 2019 is 45 ; the lease obligations of thereafter is 91 ;"], ["table_4", "in millions the purchase obligations ( c ) of 2015 is 3266 ; the purchase obligations ( c ) of 2016 is 761 ; the purchase obligations ( c ) of 2017 is 583 ; the purchase obligations ( c ) of 2018 is 463 ; the purchase obligations ( c ) of 2019 is 422 ; the purchase obligations ( c ) of thereafter is 1690 ;"], ["table_5", "in millions the total ( d ) of 2015 is $ 4150 ; the total ( d ) of 2016 is $ 6612 ; the total ( d ) of 2017 is $ 738 ; the total ( d ) of 2018 is $ 1755 ; the total ( d ) of 2019 is $ 1072 ; the total ( d ) of thereafter is $ 7965 ;"]]}, "answers": ["79%"]}, "rejected_source": {"id": "IP/2014/page_71.pdf-2", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 due in 2016 are purchase obligations?", "answer": "12%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "761", "arg2": "6612", "res": "12%"}], "program": "divide(761, 6612)", "gold_inds": {"table_4": "in millions the purchase obligations ( c ) of 2015 is 3266 ; the purchase obligations ( c ) of 2016 is 761 ; the purchase obligations ( c ) of 2017 is 583 ; the purchase obligations ( c ) of 2018 is 463 ; the purchase obligations ( c ) of 2019 is 422 ; the purchase obligations ( c ) of thereafter is 1690 ;", "table_5": "in millions the total ( d ) of 2015 is $ 4150 ; the total ( d ) of 2016 is $ 6612 ; the total ( d ) of 2017 is $ 738 ; the total ( d ) of 2018 is $ 1755 ; the total ( d ) of 2019 is $ 1072 ; the total ( d ) of thereafter is $ 7965 ;"}, "exe_ans": 0.11509, "tfidftopn": {"text_26": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2014 , were as follows: ."}, "program_re": "divide(761, 6612)", "model_input": [["table_3", "in millions the lease obligations of 2015 is 142 ; the lease obligations of 2016 is 106 ; the lease obligations of 2017 is 84 ; the lease obligations of 2018 is 63 ; the lease obligations of 2019 is 45 ; the lease obligations of thereafter is 91 ;"], ["table_4", "in millions the purchase obligations ( c ) of 2015 is 3266 ; the purchase obligations ( c ) of 2016 is 761 ; the purchase obligations ( c ) of 2017 is 583 ; the purchase obligations ( c ) of 2018 is 463 ; the purchase obligations ( c ) of 2019 is 422 ; the purchase obligations ( c ) of thereafter is 1690 ;"], ["table_5", "in millions the total ( d ) of 2015 is $ 4150 ; the total ( d ) of 2016 is $ 6612 ; the total ( d ) of 2017 is $ 738 ; the total ( d ) of 2018 is $ 1755 ; the total ( d ) of 2019 is $ 1072 ; the total ( d ) of thereafter is $ 7965 ;"]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000569", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the change in weighted average shares outstanding for diluted net earnings per share between 2005 and 2006 , in millions?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "-4.4.", "rejected": "-7.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what is the change in weighted average shares outstanding for diluted net earnings per share <TIME> , in millions?", "doc_prefix": "ZBH", "base_question": "what is the change in weighted average shares outstanding for diluted net earnings per share <TIME> , in millions?", "original_question": "what is the change in weighted average shares outstanding for diluted net earnings per share between 2005 and 2006 , in millions?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-4.4": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "-7.9": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "ZBH/2007/page_81.pdf-3", "qa": {"question": "what is the change in weighted average shares outstanding for diluted net earnings per share between 2005 and 2006 , in millions?", "answer": "-4.4", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "245.4", "arg2": "249.8", "res": "-4.4"}], "program": "subtract(245.4, 249.8)", "gold_inds": {"table_3": "the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ; the weighted average shares outstanding for diluted net earnings per share of 2005 is 249.8 ;"}, "exe_ans": -4.4, "tfidftopn": {"table_1": "The weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; The weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ; The weighted average shares outstanding for basic net earnings per share of 2005 is 247.1 ;", "text_9": "weighted average shares outstanding for basic net earnings per share 235.5 243.0 247.1 effect of dilutive stock options and other equity awards 2.0 2.4 2.7 weighted average shares outstanding for diluted net earnings per share 237.5 245.4 249.8 for the year ended december 31 , 2007 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "subtract(245.4, 249.8)", "model_input": [["text_8", "the following is a reconciliation of weighted average shares for the basic and diluted share computations for the years ending december 31 ( in millions ) : ."], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ; the weighted average shares outstanding for diluted net earnings per share of 2005 is 249.8 ;"], ["text_9", "weighted average shares outstanding for basic net earnings per share 235.5 243.0 247.1 effect of dilutive stock options and other equity awards 2.0 2.4 2.7 weighted average shares outstanding for diluted net earnings per share 237.5 245.4 249.8 for the year ended december 31 , 2007 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."]]}, "answers": ["-4.4"]}, "rejected_source": {"id": "ZBH/2007/page_81.pdf-2", "qa": {"question": "what is the change in weighted average shares outstanding for diluted net earnings per share between 2006 and 2007 , in millions?", "answer": "-7.9", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "237.5", "arg2": "245.4", "res": "-7.9"}], "program": "subtract(237.5, 245.4)", "gold_inds": {"table_3": "the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ; the weighted average shares outstanding for diluted net earnings per share of 2005 is 249.8 ;"}, "exe_ans": -7.9, "tfidftopn": {"table_1": "The weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; The weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ; The weighted average shares outstanding for basic net earnings per share of 2005 is 247.1 ;", "text_9": "weighted average shares outstanding for basic net earnings per share 235.5 243.0 247.1 effect of dilutive stock options and other equity awards 2.0 2.4 2.7 weighted average shares outstanding for diluted net earnings per share 237.5 245.4 249.8 for the year ended december 31 , 2007 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "subtract(237.5, 245.4)", "model_input": [["text_8", "the following is a reconciliation of weighted average shares for the basic and diluted share computations for the years ending december 31 ( in millions ) : ."], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ; the weighted average shares outstanding for diluted net earnings per share of 2005 is 249.8 ;"], ["text_9", "weighted average shares outstanding for basic net earnings per share 235.5 243.0 247.1 effect of dilutive stock options and other equity awards 2.0 2.4 2.7 weighted average shares outstanding for diluted net earnings per share 237.5 245.4 249.8 for the year ended december 31 , 2007 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."]]}, "answers": ["-7.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000570", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the change in weighted average shares outstanding for diluted net earnings per share between 2006 and 2007 , in millions?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-7.9.", "rejected": "-4.4.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what is the change in weighted average shares outstanding for diluted net earnings per share <TIME> , in millions?", "doc_prefix": "ZBH", "base_question": "what is the change in weighted average shares outstanding for diluted net earnings per share <TIME> , in millions?", "original_question": "what is the change in weighted average shares outstanding for diluted net earnings per share between 2006 and 2007 , in millions?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-4.4": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "-7.9": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "ZBH/2007/page_81.pdf-2", "qa": {"question": "what is the change in weighted average shares outstanding for diluted net earnings per share between 2006 and 2007 , in millions?", "answer": "-7.9", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "237.5", "arg2": "245.4", "res": "-7.9"}], "program": "subtract(237.5, 245.4)", "gold_inds": {"table_3": "the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ; the weighted average shares outstanding for diluted net earnings per share of 2005 is 249.8 ;"}, "exe_ans": -7.9, "tfidftopn": {"table_1": "The weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; The weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ; The weighted average shares outstanding for basic net earnings per share of 2005 is 247.1 ;", "text_9": "weighted average shares outstanding for basic net earnings per share 235.5 243.0 247.1 effect of dilutive stock options and other equity awards 2.0 2.4 2.7 weighted average shares outstanding for diluted net earnings per share 237.5 245.4 249.8 for the year ended december 31 , 2007 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "subtract(237.5, 245.4)", "model_input": [["text_8", "the following is a reconciliation of weighted average shares for the basic and diluted share computations for the years ending december 31 ( in millions ) : ."], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ; the weighted average shares outstanding for diluted net earnings per share of 2005 is 249.8 ;"], ["text_9", "weighted average shares outstanding for basic net earnings per share 235.5 243.0 247.1 effect of dilutive stock options and other equity awards 2.0 2.4 2.7 weighted average shares outstanding for diluted net earnings per share 237.5 245.4 249.8 for the year ended december 31 , 2007 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."]]}, "answers": ["-7.9"]}, "rejected_source": {"id": "ZBH/2007/page_81.pdf-3", "qa": {"question": "what is the change in weighted average shares outstanding for diluted net earnings per share between 2005 and 2006 , in millions?", "answer": "-4.4", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "245.4", "arg2": "249.8", "res": "-4.4"}], "program": "subtract(245.4, 249.8)", "gold_inds": {"table_3": "the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ; the weighted average shares outstanding for diluted net earnings per share of 2005 is 249.8 ;"}, "exe_ans": -4.4, "tfidftopn": {"table_1": "The weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ; The weighted average shares outstanding for basic net earnings per share of 2006 is 243.0 ; The weighted average shares outstanding for basic net earnings per share of 2005 is 247.1 ;", "text_9": "weighted average shares outstanding for basic net earnings per share 235.5 243.0 247.1 effect of dilutive stock options and other equity awards 2.0 2.4 2.7 weighted average shares outstanding for diluted net earnings per share 237.5 245.4 249.8 for the year ended december 31 , 2007 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "subtract(245.4, 249.8)", "model_input": [["text_8", "the following is a reconciliation of weighted average shares for the basic and diluted share computations for the years ending december 31 ( in millions ) : ."], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ; the weighted average shares outstanding for diluted net earnings per share of 2006 is 245.4 ; the weighted average shares outstanding for diluted net earnings per share of 2005 is 249.8 ;"], ["text_9", "weighted average shares outstanding for basic net earnings per share 235.5 243.0 247.1 effect of dilutive stock options and other equity awards 2.0 2.4 2.7 weighted average shares outstanding for diluted net earnings per share 237.5 245.4 249.8 for the year ended december 31 , 2007 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."]]}, "answers": ["-4.4"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000571", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average beginning and ending balance of shares in millions outstanding during 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "1194.5.", "rejected": "1278.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SLB || what was the average beginning and ending balance of shares in millions outstanding <TIME>?", "doc_prefix": "SLB", "base_question": "what was the average beginning and ending balance of shares in millions outstanding <TIME>?", "original_question": "what was the average beginning and ending balance of shares in millions outstanding during 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1194.5": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "1278": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "SLB/2010/page_58.pdf-2", "qa": {"question": "what was the average beginning and ending balance of shares in millions outstanding during 2009?", "answer": "1194.5", "explanation": "", "ann_table_rows": [6, 11], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "1194", "arg2": "1195", "res": "2389.0"}, {"op": "divide0-0", "arg1": "#0", "arg2": "const_2", "res": "1194.5"}], "program": "add(1194, 1195), divide(#0, const_2)", "gold_inds": {"table_6": "the balance december 31 2008 of issued is 1334 ; the balance december 31 2008 of in treasury is -140 ( 140 ) ; the balance december 31 2008 of shares outstanding is 1194 ;", "table_11": "the balance december 31 2009 of issued is 1334 ; the balance december 31 2009 of in treasury is -139 ( 139 ) ; the balance december 31 2009 of shares outstanding is 1195 ;"}, "exe_ans": 1194.5, "tfidftopn": {"text_0": "schlumberger limited and subsidiaries shares of common stock issued in treasury shares outstanding ( stated in millions ) ."}, "program_re": "divide(add(1194, 1195), const_2)", "model_input": [["table_1", "the balance january 1 2008 of issued is 1334 ; the balance january 1 2008 of in treasury is -138 ( 138 ) ; the balance january 1 2008 of shares outstanding is 1196 ;"], ["table_6", "the balance december 31 2008 of issued is 1334 ; the balance december 31 2008 of in treasury is -140 ( 140 ) ; the balance december 31 2008 of shares outstanding is 1194 ;"], ["table_11", "the balance december 31 2009 of issued is 1334 ; the balance december 31 2009 of in treasury is -139 ( 139 ) ; the balance december 31 2009 of shares outstanding is 1195 ;"]]}, "answers": ["1194.5"]}, "rejected_source": {"id": "SLB/2010/page_58.pdf-1", "qa": {"question": "what was the average beginning and ending balance of shares in millions outstanding during 2010?", "answer": "1278", "explanation": "", "ann_table_rows": [11, 17], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "1361", "arg2": "1195", "res": "2556.0"}, {"op": "divide0-0", "arg1": "#0", "arg2": "const_2", "res": "1278"}], "program": "add(1361, 1195), divide(#0, const_2)", "gold_inds": {"table_11": "the balance december 31 2009 of issued is 1334 ; the balance december 31 2009 of in treasury is -139 ( 139 ) ; the balance december 31 2009 of shares outstanding is 1195 ;", "table_17": "the balance december 31 2010 of issued is 1434 ; the balance december 31 2010 of in treasury is -73 ( 73 ) ; the balance december 31 2010 of shares outstanding is 1361 ;"}, "exe_ans": 1278.0, "tfidftopn": {"text_0": "schlumberger limited and subsidiaries shares of common stock issued in treasury shares outstanding ( stated in millions ) ."}, "program_re": "divide(add(1361, 1195), const_2)", "model_input": [["table_6", "the balance december 31 2008 of issued is 1334 ; the balance december 31 2008 of in treasury is -140 ( 140 ) ; the balance december 31 2008 of shares outstanding is 1194 ;"], ["table_11", "the balance december 31 2009 of issued is 1334 ; the balance december 31 2009 of in treasury is -139 ( 139 ) ; the balance december 31 2009 of shares outstanding is 1195 ;"], ["table_17", "the balance december 31 2010 of issued is 1434 ; the balance december 31 2010 of in treasury is -73 ( 73 ) ; the balance december 31 2010 of shares outstanding is 1361 ;"]]}, "answers": ["1278"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000572", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average beginning and ending balance of shares in millions outstanding during 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "1278.", "rejected": "1194.5.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SLB || what was the average beginning and ending balance of shares in millions outstanding <TIME>?", "doc_prefix": "SLB", "base_question": "what was the average beginning and ending balance of shares in millions outstanding <TIME>?", "original_question": "what was the average beginning and ending balance of shares in millions outstanding during 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1194.5": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "1278": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "SLB/2010/page_58.pdf-1", "qa": {"question": "what was the average beginning and ending balance of shares in millions outstanding during 2010?", "answer": "1278", "explanation": "", "ann_table_rows": [11, 17], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "1361", "arg2": "1195", "res": "2556.0"}, {"op": "divide0-0", "arg1": "#0", "arg2": "const_2", "res": "1278"}], "program": "add(1361, 1195), divide(#0, const_2)", "gold_inds": {"table_11": "the balance december 31 2009 of issued is 1334 ; the balance december 31 2009 of in treasury is -139 ( 139 ) ; the balance december 31 2009 of shares outstanding is 1195 ;", "table_17": "the balance december 31 2010 of issued is 1434 ; the balance december 31 2010 of in treasury is -73 ( 73 ) ; the balance december 31 2010 of shares outstanding is 1361 ;"}, "exe_ans": 1278.0, "tfidftopn": {"text_0": "schlumberger limited and subsidiaries shares of common stock issued in treasury shares outstanding ( stated in millions ) ."}, "program_re": "divide(add(1361, 1195), const_2)", "model_input": [["table_6", "the balance december 31 2008 of issued is 1334 ; the balance december 31 2008 of in treasury is -140 ( 140 ) ; the balance december 31 2008 of shares outstanding is 1194 ;"], ["table_11", "the balance december 31 2009 of issued is 1334 ; the balance december 31 2009 of in treasury is -139 ( 139 ) ; the balance december 31 2009 of shares outstanding is 1195 ;"], ["table_17", "the balance december 31 2010 of issued is 1434 ; the balance december 31 2010 of in treasury is -73 ( 73 ) ; the balance december 31 2010 of shares outstanding is 1361 ;"]]}, "answers": ["1278"]}, "rejected_source": {"id": "SLB/2010/page_58.pdf-2", "qa": {"question": "what was the average beginning and ending balance of shares in millions outstanding during 2009?", "answer": "1194.5", "explanation": "", "ann_table_rows": [6, 11], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "1194", "arg2": "1195", "res": "2389.0"}, {"op": "divide0-0", "arg1": "#0", "arg2": "const_2", "res": "1194.5"}], "program": "add(1194, 1195), divide(#0, const_2)", "gold_inds": {"table_6": "the balance december 31 2008 of issued is 1334 ; the balance december 31 2008 of in treasury is -140 ( 140 ) ; the balance december 31 2008 of shares outstanding is 1194 ;", "table_11": "the balance december 31 2009 of issued is 1334 ; the balance december 31 2009 of in treasury is -139 ( 139 ) ; the balance december 31 2009 of shares outstanding is 1195 ;"}, "exe_ans": 1194.5, "tfidftopn": {"text_0": "schlumberger limited and subsidiaries shares of common stock issued in treasury shares outstanding ( stated in millions ) ."}, "program_re": "divide(add(1194, 1195), const_2)", "model_input": [["table_1", "the balance january 1 2008 of issued is 1334 ; the balance january 1 2008 of in treasury is -138 ( 138 ) ; the balance january 1 2008 of shares outstanding is 1196 ;"], ["table_6", "the balance december 31 2008 of issued is 1334 ; the balance december 31 2008 of in treasury is -140 ( 140 ) ; the balance december 31 2008 of shares outstanding is 1194 ;"], ["table_11", "the balance december 31 2009 of issued is 1334 ; the balance december 31 2009 of in treasury is -139 ( 139 ) ; the balance december 31 2009 of shares outstanding is 1195 ;"]]}, "answers": ["1194.5"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000573", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of industrial packaging sales where represented by north american industrial packaging net sales in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "84%.", "rejected": "87%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of industrial packaging sales where represented by north american industrial packaging net sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of industrial packaging sales where represented by north american industrial packaging net sales <TIME>?", "original_question": "what percentage of industrial packaging sales where represented by north american industrial packaging net sales in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"87%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "84%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2013/page_61.pdf-1", "qa": {"question": "what percentage of industrial packaging sales where represented by north american industrial packaging net sales in 2013?", "answer": "84%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [12], "steps": [{"op": "multiply1-1", "arg1": "12.5", "arg2": "const_1000", "res": "12500"}, {"op": "divide1-2", "arg1": "#0", "arg2": "14810", "res": "84%"}], "program": "multiply(12.5, const_1000), divide(#0, 14810)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;", "text_12": "north american industrial packaging net sales were $ 12.5 billion in 2013 compared with $ 11.6 billion in 2012 and $ 8.6 billion in 2011 ."}, "exe_ans": 0.84402, "tfidftopn": {"text_11": "industrial packaging ."}, "program_re": "divide(multiply(12.5, const_1000), 14810)", "model_input": [["table_1", "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;"], ["table_2", "in millions the operating profit of 2013 is 1801 ; the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ;"], ["text_12", "north american industrial packaging net sales were $ 12.5 billion in 2013 compared with $ 11.6 billion in 2012 and $ 8.6 billion in 2011 ."]]}, "answers": ["84%"]}, "rejected_source": {"id": "IP/2013/page_61.pdf-2", "qa": {"question": "what percentage of industrial packaging sales where represented by north american industrial packaging net sales in 2012?", "answer": "87%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [12], "steps": [{"op": "multiply2-1", "arg1": "11.6", "arg2": "const_1000", "res": "11600"}, {"op": "divide2-2", "arg1": "#0", "arg2": "13280", "res": "87%"}], "program": "multiply(11.6, const_1000), divide(#0, 13280)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;", "text_12": "north american industrial packaging net sales were $ 12.5 billion in 2013 compared with $ 11.6 billion in 2012 and $ 8.6 billion in 2011 ."}, "exe_ans": 0.87349, "tfidftopn": {"text_11": "industrial packaging ."}, "program_re": "divide(multiply(11.6, const_1000), 13280)", "model_input": [["table_1", "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;"], ["table_2", "in millions the operating profit of 2013 is 1801 ; the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ;"], ["text_12", "north american industrial packaging net sales were $ 12.5 billion in 2013 compared with $ 11.6 billion in 2012 and $ 8.6 billion in 2011 ."]]}, "answers": ["87%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000574", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of industrial packaging sales where represented by north american industrial packaging net sales in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "87%.", "rejected": "84%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of industrial packaging sales where represented by north american industrial packaging net sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of industrial packaging sales where represented by north american industrial packaging net sales <TIME>?", "original_question": "what percentage of industrial packaging sales where represented by north american industrial packaging net sales in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"87%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "84%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2013/page_61.pdf-2", "qa": {"question": "what percentage of industrial packaging sales where represented by north american industrial packaging net sales in 2012?", "answer": "87%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [12], "steps": [{"op": "multiply2-1", "arg1": "11.6", "arg2": "const_1000", "res": "11600"}, {"op": "divide2-2", "arg1": "#0", "arg2": "13280", "res": "87%"}], "program": "multiply(11.6, const_1000), divide(#0, 13280)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;", "text_12": "north american industrial packaging net sales were $ 12.5 billion in 2013 compared with $ 11.6 billion in 2012 and $ 8.6 billion in 2011 ."}, "exe_ans": 0.87349, "tfidftopn": {"text_11": "industrial packaging ."}, "program_re": "divide(multiply(11.6, const_1000), 13280)", "model_input": [["table_1", "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;"], ["table_2", "in millions the operating profit of 2013 is 1801 ; the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ;"], ["text_12", "north american industrial packaging net sales were $ 12.5 billion in 2013 compared with $ 11.6 billion in 2012 and $ 8.6 billion in 2011 ."]]}, "answers": ["87%"]}, "rejected_source": {"id": "IP/2013/page_61.pdf-1", "qa": {"question": "what percentage of industrial packaging sales where represented by north american industrial packaging net sales in 2013?", "answer": "84%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [12], "steps": [{"op": "multiply1-1", "arg1": "12.5", "arg2": "const_1000", "res": "12500"}, {"op": "divide1-2", "arg1": "#0", "arg2": "14810", "res": "84%"}], "program": "multiply(12.5, const_1000), divide(#0, 14810)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;", "text_12": "north american industrial packaging net sales were $ 12.5 billion in 2013 compared with $ 11.6 billion in 2012 and $ 8.6 billion in 2011 ."}, "exe_ans": 0.84402, "tfidftopn": {"text_11": "industrial packaging ."}, "program_re": "divide(multiply(12.5, const_1000), 14810)", "model_input": [["table_1", "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;"], ["table_2", "in millions the operating profit of 2013 is 1801 ; the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ;"], ["text_12", "north american industrial packaging net sales were $ 12.5 billion in 2013 compared with $ 11.6 billion in 2012 and $ 8.6 billion in 2011 ."]]}, "answers": ["84%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000575", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage difference in natural gas marketed ( bcf ) between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-16%.", "rejected": "-8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "OKE || what was the percentage difference in natural gas marketed ( bcf ) <TIME>?", "doc_prefix": "OKE", "base_question": "what was the percentage difference in natural gas marketed ( bcf ) <TIME>?", "original_question": "what was the percentage difference in natural gas marketed ( bcf ) between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-8%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011"}], "-16%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}]}, "chosen_source": {"id": "OKE/2012/page_91.pdf-2", "qa": {"question": "what was the percentage difference in natural gas marketed ( bcf ) between 2011 and 2012?", "answer": "-16%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "709", "arg2": "845", "res": "-136"}, {"op": "divide2-2", "arg1": "#0", "arg2": "845", "res": "-16%"}], "program": "subtract(709, 845), divide(#0, 845)", "gold_inds": {"table_1": "operating information the natural gas marketed ( bcf ) of years ended december 31 , 2012 is 709 ; the natural gas marketed ( bcf ) of years ended december 31 , 2011 is 845 ; the natural gas marketed ( bcf ) of years ended december 31 , 2010 is 919 ;"}, "exe_ans": -0.16095, "tfidftopn": {"text_19": "natural gas volumes marketed and physically settled volumes decreased in 2012 compared with 2011 due primarily to decreased marketing activities , lower transported volumes and reduced transportation capacity .", "text_3": "our premium services were impacted negatively by lower natural gas prices and decreased natural gas price volatility ."}, "program_re": "divide(subtract(709, 845), 845)", "model_input": [["text_0", "costs ."], ["table_1", "operating information the natural gas marketed ( bcf ) of years ended december 31 , 2012 is 709 ; the natural gas marketed ( bcf ) of years ended december 31 , 2011 is 845 ; the natural gas marketed ( bcf ) of years ended december 31 , 2010 is 919 ;"], ["table_2", "operating information the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2012 is $ -0.07 ( 0.07 ) ; the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2011 is $ 0.06 ; the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2010 is $ 0.18 ;"]]}, "answers": ["-16%"]}, "rejected_source": {"id": "OKE/2012/page_91.pdf-1", "qa": {"question": "what was the percentage difference in natural gas marketed ( bcf ) between 2010 and 2011?", "answer": "-8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "845", "arg2": "919", "res": "-74"}, {"op": "divide1-2", "arg1": "#0", "arg2": "919", "res": "-8%"}], "program": "subtract(845, 919), divide(#0, 919)", "gold_inds": {"table_1": "operating information the natural gas marketed ( bcf ) of years ended december 31 , 2012 is 709 ; the natural gas marketed ( bcf ) of years ended december 31 , 2011 is 845 ; the natural gas marketed ( bcf ) of years ended december 31 , 2010 is 919 ;"}, "exe_ans": -0.08052, "tfidftopn": {"text_3": "our premium services were impacted negatively by lower natural gas prices and decreased natural gas price volatility .", "table_3": "operating information The physically settled volumes ( bcf ) of years ended december 31 , 2012 is 1433 ; The physically settled volumes ( bcf ) of years ended december 31 , 2011 is 1724 ; The physically settled volumes ( bcf ) of years ended december 31 , 2010 is 1874 ;"}, "program_re": "divide(subtract(845, 919), 919)", "model_input": [["text_0", "costs ."], ["table_1", "operating information the natural gas marketed ( bcf ) of years ended december 31 , 2012 is 709 ; the natural gas marketed ( bcf ) of years ended december 31 , 2011 is 845 ; the natural gas marketed ( bcf ) of years ended december 31 , 2010 is 919 ;"], ["table_2", "operating information the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2012 is $ -0.07 ( 0.07 ) ; the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2011 is $ 0.06 ; the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2010 is $ 0.18 ;"]]}, "answers": ["-8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000576", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage difference in natural gas marketed ( bcf ) between 2010 and 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-8%.", "rejected": "-16%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "OKE || what was the percentage difference in natural gas marketed ( bcf ) <TIME>?", "doc_prefix": "OKE", "base_question": "what was the percentage difference in natural gas marketed ( bcf ) <TIME>?", "original_question": "what was the percentage difference in natural gas marketed ( bcf ) between 2010 and 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-8%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011"}], "-16%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}]}, "chosen_source": {"id": "OKE/2012/page_91.pdf-1", "qa": {"question": "what was the percentage difference in natural gas marketed ( bcf ) between 2010 and 2011?", "answer": "-8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "845", "arg2": "919", "res": "-74"}, {"op": "divide1-2", "arg1": "#0", "arg2": "919", "res": "-8%"}], "program": "subtract(845, 919), divide(#0, 919)", "gold_inds": {"table_1": "operating information the natural gas marketed ( bcf ) of years ended december 31 , 2012 is 709 ; the natural gas marketed ( bcf ) of years ended december 31 , 2011 is 845 ; the natural gas marketed ( bcf ) of years ended december 31 , 2010 is 919 ;"}, "exe_ans": -0.08052, "tfidftopn": {"text_3": "our premium services were impacted negatively by lower natural gas prices and decreased natural gas price volatility .", "table_3": "operating information The physically settled volumes ( bcf ) of years ended december 31 , 2012 is 1433 ; The physically settled volumes ( bcf ) of years ended december 31 , 2011 is 1724 ; The physically settled volumes ( bcf ) of years ended december 31 , 2010 is 1874 ;"}, "program_re": "divide(subtract(845, 919), 919)", "model_input": [["text_0", "costs ."], ["table_1", "operating information the natural gas marketed ( bcf ) of years ended december 31 , 2012 is 709 ; the natural gas marketed ( bcf ) of years ended december 31 , 2011 is 845 ; the natural gas marketed ( bcf ) of years ended december 31 , 2010 is 919 ;"], ["table_2", "operating information the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2012 is $ -0.07 ( 0.07 ) ; the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2011 is $ 0.06 ; the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2010 is $ 0.18 ;"]]}, "answers": ["-8%"]}, "rejected_source": {"id": "OKE/2012/page_91.pdf-2", "qa": {"question": "what was the percentage difference in natural gas marketed ( bcf ) between 2011 and 2012?", "answer": "-16%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "709", "arg2": "845", "res": "-136"}, {"op": "divide2-2", "arg1": "#0", "arg2": "845", "res": "-16%"}], "program": "subtract(709, 845), divide(#0, 845)", "gold_inds": {"table_1": "operating information the natural gas marketed ( bcf ) of years ended december 31 , 2012 is 709 ; the natural gas marketed ( bcf ) of years ended december 31 , 2011 is 845 ; the natural gas marketed ( bcf ) of years ended december 31 , 2010 is 919 ;"}, "exe_ans": -0.16095, "tfidftopn": {"text_19": "natural gas volumes marketed and physically settled volumes decreased in 2012 compared with 2011 due primarily to decreased marketing activities , lower transported volumes and reduced transportation capacity .", "text_3": "our premium services were impacted negatively by lower natural gas prices and decreased natural gas price volatility ."}, "program_re": "divide(subtract(709, 845), 845)", "model_input": [["text_0", "costs ."], ["table_1", "operating information the natural gas marketed ( bcf ) of years ended december 31 , 2012 is 709 ; the natural gas marketed ( bcf ) of years ended december 31 , 2011 is 845 ; the natural gas marketed ( bcf ) of years ended december 31 , 2010 is 919 ;"], ["table_2", "operating information the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2012 is $ -0.07 ( 0.07 ) ; the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2011 is $ 0.06 ; the natural gas gross margin ( $ /mcf ) of years ended december 31 , 2010 is $ 0.18 ;"]]}, "answers": ["-16%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000577", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the average spot rate between 2014 to 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-58%.", "rejected": "-67%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the percentage change in the average spot rate between <TIME> to <TIME>?", "doc_prefix": "AES", "base_question": "what was the percentage change in the average spot rate between <TIME> to <TIME>?", "original_question": "what was the percentage change in the average spot rate between 2014 to 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-58%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-67%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "AES/2016/page_45.pdf-1", "qa": {"question": "what was the percentage change in the average spot rate between 2014 to 2015?", "answer": "-58%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "287", "arg2": "689", "res": "-402"}, {"op": "divide1-2", "arg1": "#0", "arg2": "689", "res": "-58%"}], "program": "subtract(287, 689), divide(#0, 689)", "gold_inds": {"table_2": "year the average spot rate of 2017 is ; the average spot rate of 2016 is 94 ; the average spot rate of 2015 is 287 ; the average spot rate of 2014 is 689 ;"}, "exe_ans": -0.58345, "tfidftopn": {"text_38": "the spot price caps as defined by aneel and average spot prices by calendar year are as follows ( r$ / .", "table_1": "year The spot price cap as defined by aneel of 2017 is 534 ; The spot price cap as defined by aneel of 2016 is 423 ; The spot price cap as defined by aneel of 2015 is 388 ; The spot price cap as defined by aneel of 2014 is 822 ;"}, "program_re": "divide(subtract(287, 689), 689)", "model_input": [["text_0", "31 , 2015 , the price was r$ 218/mwh ."], ["table_1", "year the spot price cap as defined by aneel of 2017 is 534 ; the spot price cap as defined by aneel of 2016 is 423 ; the spot price cap as defined by aneel of 2015 is 388 ; the spot price cap as defined by aneel of 2014 is 822 ;"], ["table_2", "year the average spot rate of 2017 is ; the average spot rate of 2016 is 94 ; the average spot rate of 2015 is 287 ; the average spot rate of 2014 is 689 ;"]]}, "answers": ["-58%"]}, "rejected_source": {"id": "AES/2016/page_45.pdf-3", "qa": {"question": "what was the percentage change in the average spot rate between 2015 to 2016?", "answer": "-67%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "94", "arg2": "287", "res": "-193"}, {"op": "divide2-2", "arg1": "#0", "arg2": "287", "res": "-67%"}], "program": "subtract(94, 287), divide(#0, 287)", "gold_inds": {"table_2": "year the average spot rate of 2017 is ; the average spot rate of 2016 is 94 ; the average spot rate of 2015 is 287 ; the average spot rate of 2014 is 689 ;"}, "exe_ans": -0.67247, "tfidftopn": {"text_38": "the spot price caps as defined by aneel and average spot prices by calendar year are as follows ( r$ / .", "text_4": "as of december 31 , 2016 , tiet ea's contracted portfolio position is 95% ( 95 % ) and 88% ( 88 % ) with average prices of r$ 157/ mwh and r$ 159/mwh ( inflation adjusted until december 2016 ) for 2016 and 2017 , respectively ."}, "program_re": "divide(subtract(94, 287), 287)", "model_input": [["text_0", "31 , 2015 , the price was r$ 218/mwh ."], ["table_1", "year the spot price cap as defined by aneel of 2017 is 534 ; the spot price cap as defined by aneel of 2016 is 423 ; the spot price cap as defined by aneel of 2015 is 388 ; the spot price cap as defined by aneel of 2014 is 822 ;"], ["table_2", "year the average spot rate of 2017 is ; the average spot rate of 2016 is 94 ; the average spot rate of 2015 is 287 ; the average spot rate of 2014 is 689 ;"]]}, "answers": ["-67%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000578", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the average spot rate between 2015 to 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-67%.", "rejected": "-58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the percentage change in the average spot rate between <TIME> to <TIME>?", "doc_prefix": "AES", "base_question": "what was the percentage change in the average spot rate between <TIME> to <TIME>?", "original_question": "what was the percentage change in the average spot rate between 2015 to 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-58%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "-67%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "AES/2016/page_45.pdf-3", "qa": {"question": "what was the percentage change in the average spot rate between 2015 to 2016?", "answer": "-67%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "94", "arg2": "287", "res": "-193"}, {"op": "divide2-2", "arg1": "#0", "arg2": "287", "res": "-67%"}], "program": "subtract(94, 287), divide(#0, 287)", "gold_inds": {"table_2": "year the average spot rate of 2017 is ; the average spot rate of 2016 is 94 ; the average spot rate of 2015 is 287 ; the average spot rate of 2014 is 689 ;"}, "exe_ans": -0.67247, "tfidftopn": {"text_38": "the spot price caps as defined by aneel and average spot prices by calendar year are as follows ( r$ / .", "text_4": "as of december 31 , 2016 , tiet ea's contracted portfolio position is 95% ( 95 % ) and 88% ( 88 % ) with average prices of r$ 157/ mwh and r$ 159/mwh ( inflation adjusted until december 2016 ) for 2016 and 2017 , respectively ."}, "program_re": "divide(subtract(94, 287), 287)", "model_input": [["text_0", "31 , 2015 , the price was r$ 218/mwh ."], ["table_1", "year the spot price cap as defined by aneel of 2017 is 534 ; the spot price cap as defined by aneel of 2016 is 423 ; the spot price cap as defined by aneel of 2015 is 388 ; the spot price cap as defined by aneel of 2014 is 822 ;"], ["table_2", "year the average spot rate of 2017 is ; the average spot rate of 2016 is 94 ; the average spot rate of 2015 is 287 ; the average spot rate of 2014 is 689 ;"]]}, "answers": ["-67%"]}, "rejected_source": {"id": "AES/2016/page_45.pdf-1", "qa": {"question": "what was the percentage change in the average spot rate between 2014 to 2015?", "answer": "-58%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "287", "arg2": "689", "res": "-402"}, {"op": "divide1-2", "arg1": "#0", "arg2": "689", "res": "-58%"}], "program": "subtract(287, 689), divide(#0, 689)", "gold_inds": {"table_2": "year the average spot rate of 2017 is ; the average spot rate of 2016 is 94 ; the average spot rate of 2015 is 287 ; the average spot rate of 2014 is 689 ;"}, "exe_ans": -0.58345, "tfidftopn": {"text_38": "the spot price caps as defined by aneel and average spot prices by calendar year are as follows ( r$ / .", "table_1": "year The spot price cap as defined by aneel of 2017 is 534 ; The spot price cap as defined by aneel of 2016 is 423 ; The spot price cap as defined by aneel of 2015 is 388 ; The spot price cap as defined by aneel of 2014 is 822 ;"}, "program_re": "divide(subtract(287, 689), 689)", "model_input": [["text_0", "31 , 2015 , the price was r$ 218/mwh ."], ["table_1", "year the spot price cap as defined by aneel of 2017 is 534 ; the spot price cap as defined by aneel of 2016 is 423 ; the spot price cap as defined by aneel of 2015 is 388 ; the spot price cap as defined by aneel of 2014 is 822 ;"], ["table_2", "year the average spot rate of 2017 is ; the average spot rate of 2016 is 94 ; the average spot rate of 2015 is 287 ; the average spot rate of 2014 is 689 ;"]]}, "answers": ["-58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000579", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rent expenses included in selling , general and administrative expense from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "31%.", "rejected": "41%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what was the percentage change in rent expenses included in selling , general and administrative expense <TIME>?", "doc_prefix": "UAA", "base_question": "what was the percentage change in rent expenses included in selling , general and administrative expense <TIME>?", "original_question": "what was the percentage change in rent expenses included in selling , general and administrative expense from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"41%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "31%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "UAA/2016/page_82.pdf-4", "qa": {"question": "what was the percentage change in rent expenses included in selling , general and administrative expense from 2015 to 2016?", "answer": "31%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus2-1", "arg1": "109.0", "arg2": "83.0", "res": "26"}, {"op": "divide2-2", "arg1": "#0", "arg2": "83.0", "res": "31%"}], "program": "subtract(109.0, 83.0), divide(#0, 83.0)", "gold_inds": {"text_9": "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements ."}, "exe_ans": 0.31325, "tfidftopn": {"text_10": "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively .", "text_0": "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "program_re": "divide(subtract(109.0, 83.0), 83.0)", "model_input": [["text_0", "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_9", "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements ."], ["text_10", "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["31%"]}, "rejected_source": {"id": "UAA/2016/page_82.pdf-2", "qa": {"question": "what was the percentage change in rent expenses included in selling , general and administrative expense from 2014 to 2015?", "answer": "41%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus1-1", "arg1": "83.0", "arg2": "59.0", "res": "24"}, {"op": "divide1-2", "arg1": "#0", "arg2": "59.0", "res": "41%"}], "program": "subtract(83.0, 59.0), divide(#0, 59.0)", "gold_inds": {"text_9": "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements ."}, "exe_ans": 0.40678, "tfidftopn": {"text_10": "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively .", "text_0": "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "program_re": "divide(subtract(83.0, 59.0), 59.0)", "model_input": [["text_0", "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_9", "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements ."], ["text_10", "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["41%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000580", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rent expenses included in selling , general and administrative expense from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "41%.", "rejected": "31%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what was the percentage change in rent expenses included in selling , general and administrative expense <TIME>?", "doc_prefix": "UAA", "base_question": "what was the percentage change in rent expenses included in selling , general and administrative expense <TIME>?", "original_question": "what was the percentage change in rent expenses included in selling , general and administrative expense from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"41%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "31%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "UAA/2016/page_82.pdf-2", "qa": {"question": "what was the percentage change in rent expenses included in selling , general and administrative expense from 2014 to 2015?", "answer": "41%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus1-1", "arg1": "83.0", "arg2": "59.0", "res": "24"}, {"op": "divide1-2", "arg1": "#0", "arg2": "59.0", "res": "41%"}], "program": "subtract(83.0, 59.0), divide(#0, 59.0)", "gold_inds": {"text_9": "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements ."}, "exe_ans": 0.40678, "tfidftopn": {"text_10": "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively .", "text_0": "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "program_re": "divide(subtract(83.0, 59.0), 59.0)", "model_input": [["text_0", "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_9", "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements ."], ["text_10", "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["41%"]}, "rejected_source": {"id": "UAA/2016/page_82.pdf-4", "qa": {"question": "what was the percentage change in rent expenses included in selling , general and administrative expense from 2015 to 2016?", "answer": "31%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus2-1", "arg1": "109.0", "arg2": "83.0", "res": "26"}, {"op": "divide2-2", "arg1": "#0", "arg2": "83.0", "res": "31%"}], "program": "subtract(109.0, 83.0), divide(#0, 83.0)", "gold_inds": {"text_9": "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements ."}, "exe_ans": 0.31325, "tfidftopn": {"text_10": "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively .", "text_0": "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "program_re": "divide(subtract(109.0, 83.0), 83.0)", "model_input": [["text_0", "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_9", "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements ."], ["text_10", "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["31%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000581", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the unfavorable foreign currency impact in operating expenses in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "212.", "rejected": "90.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what is the unfavorable foreign currency impact in operating expenses <TIME>?", "doc_prefix": "FIS", "base_question": "what is the unfavorable foreign currency impact in operating expenses <TIME>?", "original_question": "what is the unfavorable foreign currency impact in operating expenses in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"212": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "90": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "FIS/2016/page_49.pdf-2", "qa": {"question": "what is the unfavorable foreign currency impact in operating expenses in 2015?", "answer": "212", "explanation": "", "ann_table_rows": [], "ann_text_rows": [16], "steps": [{"op": "minus2-1", "arg1": "243", "arg2": "31", "res": "212"}], "program": "subtract(243, 31)", "gold_inds": {"text_16": "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."}, "exe_ans": 212.0, "tfidftopn": {"text_18": "in 2017 , we expect continued unfavorable foreign currency impact on our operating income resulting from the continued strengthening of the u.s .", "table_5": "currency The total impact of 2016 is $ 129 ; The total impact of 2015 is $ 106 ; The total impact of 2014 is $ 107 ;"}, "program_re": "subtract(243, 31)", "model_input": [["text_10", "dollar ."], ["text_16", "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."], ["text_17", "dollar during these years compared to thet preceding year ."]]}, "answers": ["212"]}, "rejected_source": {"id": "FIS/2016/page_49.pdf-4", "qa": {"question": "what is the unfavorable foreign currency impact in operating expenses in 2016?", "answer": "90", "explanation": "", "ann_table_rows": [], "ann_text_rows": [16], "steps": [{"op": "minus1-1", "arg1": "100", "arg2": "10", "res": "90"}], "program": "subtract(100, 10)", "gold_inds": {"text_16": "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."}, "exe_ans": 90.0, "tfidftopn": {"text_18": "in 2017 , we expect continued unfavorable foreign currency impact on our operating income resulting from the continued strengthening of the u.s .", "table_5": "currency The total impact of 2016 is $ 129 ; The total impact of 2015 is $ 106 ; The total impact of 2014 is $ 107 ;"}, "program_re": "subtract(100, 10)", "model_input": [["text_10", "dollar ."], ["text_16", "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."], ["text_17", "dollar during these years compared to thet preceding year ."]]}, "answers": ["90"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000582", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the unfavorable foreign currency impact in operating expenses in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "90.", "rejected": "212.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what is the unfavorable foreign currency impact in operating expenses <TIME>?", "doc_prefix": "FIS", "base_question": "what is the unfavorable foreign currency impact in operating expenses <TIME>?", "original_question": "what is the unfavorable foreign currency impact in operating expenses in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"212": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "90": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "FIS/2016/page_49.pdf-4", "qa": {"question": "what is the unfavorable foreign currency impact in operating expenses in 2016?", "answer": "90", "explanation": "", "ann_table_rows": [], "ann_text_rows": [16], "steps": [{"op": "minus1-1", "arg1": "100", "arg2": "10", "res": "90"}], "program": "subtract(100, 10)", "gold_inds": {"text_16": "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."}, "exe_ans": 90.0, "tfidftopn": {"text_18": "in 2017 , we expect continued unfavorable foreign currency impact on our operating income resulting from the continued strengthening of the u.s .", "table_5": "currency The total impact of 2016 is $ 129 ; The total impact of 2015 is $ 106 ; The total impact of 2014 is $ 107 ;"}, "program_re": "subtract(100, 10)", "model_input": [["text_10", "dollar ."], ["text_16", "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."], ["text_17", "dollar during these years compared to thet preceding year ."]]}, "answers": ["90"]}, "rejected_source": {"id": "FIS/2016/page_49.pdf-2", "qa": {"question": "what is the unfavorable foreign currency impact in operating expenses in 2015?", "answer": "212", "explanation": "", "ann_table_rows": [], "ann_text_rows": [16], "steps": [{"op": "minus2-1", "arg1": "243", "arg2": "31", "res": "212"}], "program": "subtract(243, 31)", "gold_inds": {"text_16": "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."}, "exe_ans": 212.0, "tfidftopn": {"text_18": "in 2017 , we expect continued unfavorable foreign currency impact on our operating income resulting from the continued strengthening of the u.s .", "table_5": "currency The total impact of 2016 is $ 129 ; The total impact of 2015 is $ 106 ; The total impact of 2014 is $ 107 ;"}, "program_re": "subtract(243, 31)", "model_input": [["text_10", "dollar ."], ["text_16", "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."], ["text_17", "dollar during these years compared to thet preceding year ."]]}, "answers": ["212"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000583", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: north american industrial packaging net sales where what percent of industrial packaging sales in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "82%.", "rejected": "87%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || north american industrial packaging net sales where what percent of industrial packaging sales <TIME>?", "doc_prefix": "IP", "base_question": "north american industrial packaging net sales where what percent of industrial packaging sales <TIME>?", "original_question": "north american industrial packaging net sales where what percent of industrial packaging sales in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"82%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "87%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "IP/2012/page_55.pdf-2", "qa": {"question": "north american industrial packaging net sales where what percent of industrial packaging sales in 2011?", "answer": "82%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply2-1", "arg1": "8.6", "arg2": "const_1000", "res": "8600"}, {"op": "divide2-2", "arg1": "#0", "arg2": "10430", "res": "82%"}], "program": "multiply(8.6, const_1000), divide(#0, 10430)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;", "text_3": "north american industr ia l packaging net sales were $ 11.6 billion in 2012 compared with $ 8.6 billion in 2011 and $ 8.4 billion in 2010 ."}, "exe_ans": 0.82454, "tfidftopn": {"text_2": "industrial packaging ."}, "program_re": "divide(multiply(8.6, const_1000), 10430)", "model_input": [["table_1", "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;"], ["table_2", "in millions the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ; the operating profit of 2010 is 826 ;"], ["text_3", "north american industr ia l packaging net sales were $ 11.6 billion in 2012 compared with $ 8.6 billion in 2011 and $ 8.4 billion in 2010 ."]]}, "answers": ["82%"]}, "rejected_source": {"id": "IP/2012/page_55.pdf-1", "qa": {"question": "north american industrial packaging net sales where what percent of industrial packaging sales in 2012?", "answer": "87%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply1-1", "arg1": "11.6", "arg2": "const_1000", "res": "11600"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13280", "res": "87%"}], "program": "multiply(11.6, const_1000), divide(#0, 13280)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;", "text_3": "north american industr ia l packaging net sales were $ 11.6 billion in 2012 compared with $ 8.6 billion in 2011 and $ 8.4 billion in 2010 ."}, "exe_ans": 0.87349, "tfidftopn": {"text_2": "industrial packaging ."}, "program_re": "divide(multiply(11.6, const_1000), 13280)", "model_input": [["table_1", "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;"], ["table_2", "in millions the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ; the operating profit of 2010 is 826 ;"], ["text_3", "north american industr ia l packaging net sales were $ 11.6 billion in 2012 compared with $ 8.6 billion in 2011 and $ 8.4 billion in 2010 ."]]}, "answers": ["87%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000584", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: north american industrial packaging net sales where what percent of industrial packaging sales in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "87%.", "rejected": "82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || north american industrial packaging net sales where what percent of industrial packaging sales <TIME>?", "doc_prefix": "IP", "base_question": "north american industrial packaging net sales where what percent of industrial packaging sales <TIME>?", "original_question": "north american industrial packaging net sales where what percent of industrial packaging sales in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"82%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "87%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "IP/2012/page_55.pdf-1", "qa": {"question": "north american industrial packaging net sales where what percent of industrial packaging sales in 2012?", "answer": "87%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply1-1", "arg1": "11.6", "arg2": "const_1000", "res": "11600"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13280", "res": "87%"}], "program": "multiply(11.6, const_1000), divide(#0, 13280)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;", "text_3": "north american industr ia l packaging net sales were $ 11.6 billion in 2012 compared with $ 8.6 billion in 2011 and $ 8.4 billion in 2010 ."}, "exe_ans": 0.87349, "tfidftopn": {"text_2": "industrial packaging ."}, "program_re": "divide(multiply(11.6, const_1000), 13280)", "model_input": [["table_1", "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;"], ["table_2", "in millions the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ; the operating profit of 2010 is 826 ;"], ["text_3", "north american industr ia l packaging net sales were $ 11.6 billion in 2012 compared with $ 8.6 billion in 2011 and $ 8.4 billion in 2010 ."]]}, "answers": ["87%"]}, "rejected_source": {"id": "IP/2012/page_55.pdf-2", "qa": {"question": "north american industrial packaging net sales where what percent of industrial packaging sales in 2011?", "answer": "82%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply2-1", "arg1": "8.6", "arg2": "const_1000", "res": "8600"}, {"op": "divide2-2", "arg1": "#0", "arg2": "10430", "res": "82%"}], "program": "multiply(8.6, const_1000), divide(#0, 10430)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;", "text_3": "north american industr ia l packaging net sales were $ 11.6 billion in 2012 compared with $ 8.6 billion in 2011 and $ 8.4 billion in 2010 ."}, "exe_ans": 0.82454, "tfidftopn": {"text_2": "industrial packaging ."}, "program_re": "divide(multiply(8.6, const_1000), 10430)", "model_input": [["table_1", "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;"], ["table_2", "in millions the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ; the operating profit of 2010 is 826 ;"], ["text_3", "north american industr ia l packaging net sales were $ 11.6 billion in 2012 compared with $ 8.6 billion in 2011 and $ 8.4 billion in 2010 ."]]}, "answers": ["82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000585", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "1.6%.", "rejected": "7.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HII || what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , <TIME>?", "doc_prefix": "HII", "base_question": "what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , <TIME>?", "original_question": "what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.6%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "7.0%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "HII/2011/page_72.pdf-1", "qa": {"question": "what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , 2011?", "answer": "1.6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "29", "arg2": "1859", "res": "1.6%"}], "program": "divide(29, 1859)", "gold_inds": {"table_1": "( $ in millions ) the long-term debt of total is $ 1859 ; the long-term debt of 2012 is $ 29 ; the long-term debt of 2013 - 2014 is $ 129 ; the long-term debt of 2015 - 2016 is $ 396 ; the long-term debt of 2017 and beyond is $ 1305 ;"}, "exe_ans": 0.0156, "tfidftopn": {"table_5": "( $ in millions ) The other long-term liabilities ( 3 ) of total is 587 ; The other long-term liabilities ( 3 ) of 2012 is 66 ; The other long-term liabilities ( 3 ) of 2013 - 2014 is 96 ; The other long-term liabilities ( 3 ) of 2015 - 2016 is 67 ; The other long-term liabilities ( 3 ) of 2017 and beyond is 358 ;", "table_2": "( $ in millions ) The interest payments on long-term debt ( 1 ) of total is 854 ; The interest payments on long-term debt ( 1 ) of 2012 is 112 ; The interest payments on long-term debt ( 1 ) of 2013 - 2014 is 219 ; The interest payments on long-term debt ( 1 ) of 2015 - 2016 is 202 ; The interest payments on long-term debt ( 1 ) of 2017 and beyond is 321 ;"}, "program_re": "divide(29, 1859)", "model_input": [["text_1", "as of december 31 , 2011 , total outstanding long-term debt was $ 1859 million , consisting of these senior notes and the credit facility , in addition to $ 105 million of third party debt that remained outstanding subsequent to the spin-off ."], ["table_1", "( $ in millions ) the long-term debt of total is $ 1859 ; the long-term debt of 2012 is $ 29 ; the long-term debt of 2013 - 2014 is $ 129 ; the long-term debt of 2015 - 2016 is $ 396 ; the long-term debt of 2017 and beyond is $ 1305 ;"], ["text_19", "( 3 ) other long-term liabilities primarily consist of total accrued workers 2019 compensation reserves , deferred compensation , and other miscellaneous liabilities , of which $ 201 million is the current portion of workers 2019 compensation liabilities ."]]}, "answers": ["1.6%"]}, "rejected_source": {"id": "HII/2011/page_72.pdf-3", "qa": {"question": "what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , 2012?", "answer": "7.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1859", "arg2": "29", "res": "1830"}, {"op": "divide2-2", "arg1": "129", "arg2": "#0", "res": "7.0%"}], "program": "subtract(1859, 29), divide(129, #0)", "gold_inds": {"table_1": "( $ in millions ) the long-term debt of total is $ 1859 ; the long-term debt of 2012 is $ 29 ; the long-term debt of 2013 - 2014 is $ 129 ; the long-term debt of 2015 - 2016 is $ 396 ; the long-term debt of 2017 and beyond is $ 1305 ;"}, "exe_ans": 0.07049, "tfidftopn": {"table_5": "( $ in millions ) The other long-term liabilities ( 3 ) of total is 587 ; The other long-term liabilities ( 3 ) of 2012 is 66 ; The other long-term liabilities ( 3 ) of 2013 - 2014 is 96 ; The other long-term liabilities ( 3 ) of 2015 - 2016 is 67 ; The other long-term liabilities ( 3 ) of 2017 and beyond is 358 ;", "table_2": "( $ in millions ) The interest payments on long-term debt ( 1 ) of total is 854 ; The interest payments on long-term debt ( 1 ) of 2012 is 112 ; The interest payments on long-term debt ( 1 ) of 2013 - 2014 is 219 ; The interest payments on long-term debt ( 1 ) of 2015 - 2016 is 202 ; The interest payments on long-term debt ( 1 ) of 2017 and beyond is 321 ;"}, "program_re": "divide(129, subtract(1859, 29))", "model_input": [["text_15", "the following table presents our contractual obligations as of december 31 , 2011 , and the related estimated timing of future cash payments : ( $ in millions ) total 2012 2013 - 2014 2015 - 2016 2017 and beyond ."], ["table_1", "( $ in millions ) the long-term debt of total is $ 1859 ; the long-term debt of 2012 is $ 29 ; the long-term debt of 2013 - 2014 is $ 129 ; the long-term debt of 2015 - 2016 is $ 396 ; the long-term debt of 2017 and beyond is $ 1305 ;"], ["text_19", "( 3 ) other long-term liabilities primarily consist of total accrued workers 2019 compensation reserves , deferred compensation , and other miscellaneous liabilities , of which $ 201 million is the current portion of workers 2019 compensation liabilities ."]]}, "answers": ["7.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000586", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "7.0%.", "rejected": "1.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HII || what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , <TIME>?", "doc_prefix": "HII", "base_question": "what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , <TIME>?", "original_question": "what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.6%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "7.0%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "HII/2011/page_72.pdf-3", "qa": {"question": "what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , 2012?", "answer": "7.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1859", "arg2": "29", "res": "1830"}, {"op": "divide2-2", "arg1": "129", "arg2": "#0", "res": "7.0%"}], "program": "subtract(1859, 29), divide(129, #0)", "gold_inds": {"table_1": "( $ in millions ) the long-term debt of total is $ 1859 ; the long-term debt of 2012 is $ 29 ; the long-term debt of 2013 - 2014 is $ 129 ; the long-term debt of 2015 - 2016 is $ 396 ; the long-term debt of 2017 and beyond is $ 1305 ;"}, "exe_ans": 0.07049, "tfidftopn": {"table_5": "( $ in millions ) The other long-term liabilities ( 3 ) of total is 587 ; The other long-term liabilities ( 3 ) of 2012 is 66 ; The other long-term liabilities ( 3 ) of 2013 - 2014 is 96 ; The other long-term liabilities ( 3 ) of 2015 - 2016 is 67 ; The other long-term liabilities ( 3 ) of 2017 and beyond is 358 ;", "table_2": "( $ in millions ) The interest payments on long-term debt ( 1 ) of total is 854 ; The interest payments on long-term debt ( 1 ) of 2012 is 112 ; The interest payments on long-term debt ( 1 ) of 2013 - 2014 is 219 ; The interest payments on long-term debt ( 1 ) of 2015 - 2016 is 202 ; The interest payments on long-term debt ( 1 ) of 2017 and beyond is 321 ;"}, "program_re": "divide(129, subtract(1859, 29))", "model_input": [["text_15", "the following table presents our contractual obligations as of december 31 , 2011 , and the related estimated timing of future cash payments : ( $ in millions ) total 2012 2013 - 2014 2015 - 2016 2017 and beyond ."], ["table_1", "( $ in millions ) the long-term debt of total is $ 1859 ; the long-term debt of 2012 is $ 29 ; the long-term debt of 2013 - 2014 is $ 129 ; the long-term debt of 2015 - 2016 is $ 396 ; the long-term debt of 2017 and beyond is $ 1305 ;"], ["text_19", "( 3 ) other long-term liabilities primarily consist of total accrued workers 2019 compensation reserves , deferred compensation , and other miscellaneous liabilities , of which $ 201 million is the current portion of workers 2019 compensation liabilities ."]]}, "answers": ["7.0%"]}, "rejected_source": {"id": "HII/2011/page_72.pdf-1", "qa": {"question": "what portion of the long-term debt is included in the section of current liabilities on the balance sheet as of december 31 , 2011?", "answer": "1.6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "29", "arg2": "1859", "res": "1.6%"}], "program": "divide(29, 1859)", "gold_inds": {"table_1": "( $ in millions ) the long-term debt of total is $ 1859 ; the long-term debt of 2012 is $ 29 ; the long-term debt of 2013 - 2014 is $ 129 ; the long-term debt of 2015 - 2016 is $ 396 ; the long-term debt of 2017 and beyond is $ 1305 ;"}, "exe_ans": 0.0156, "tfidftopn": {"table_5": "( $ in millions ) The other long-term liabilities ( 3 ) of total is 587 ; The other long-term liabilities ( 3 ) of 2012 is 66 ; The other long-term liabilities ( 3 ) of 2013 - 2014 is 96 ; The other long-term liabilities ( 3 ) of 2015 - 2016 is 67 ; The other long-term liabilities ( 3 ) of 2017 and beyond is 358 ;", "table_2": "( $ in millions ) The interest payments on long-term debt ( 1 ) of total is 854 ; The interest payments on long-term debt ( 1 ) of 2012 is 112 ; The interest payments on long-term debt ( 1 ) of 2013 - 2014 is 219 ; The interest payments on long-term debt ( 1 ) of 2015 - 2016 is 202 ; The interest payments on long-term debt ( 1 ) of 2017 and beyond is 321 ;"}, "program_re": "divide(29, 1859)", "model_input": [["text_1", "as of december 31 , 2011 , total outstanding long-term debt was $ 1859 million , consisting of these senior notes and the credit facility , in addition to $ 105 million of third party debt that remained outstanding subsequent to the spin-off ."], ["table_1", "( $ in millions ) the long-term debt of total is $ 1859 ; the long-term debt of 2012 is $ 29 ; the long-term debt of 2013 - 2014 is $ 129 ; the long-term debt of 2015 - 2016 is $ 396 ; the long-term debt of 2017 and beyond is $ 1305 ;"], ["text_19", "( 3 ) other long-term liabilities primarily consist of total accrued workers 2019 compensation reserves , deferred compensation , and other miscellaneous liabilities , of which $ 201 million is the current portion of workers 2019 compensation liabilities ."]]}, "answers": ["1.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000587", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the allowance for doubtful accounts from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-10%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in the allowance for doubtful accounts <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in the allowance for doubtful accounts <TIME>?", "original_question": "what was the percentage change in the allowance for doubtful accounts from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-10%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AAPL/2007/page_70.pdf-3", "qa": {"question": "what was the percentage change in the allowance for doubtful accounts from 2006 to 2007?", "answer": "-10%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "47", "arg2": "52", "res": "-5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "52", "res": "-10%"}], "program": "subtract(47, 52), divide(#0, 52)", "gold_inds": {"table_4": "the ending allowance balance of september 29 2007 is $ 47 ; the ending allowance balance of september 30 2006 is $ 52 ; the ending allowance balance of september 24 2005 is $ 46 ;"}, "exe_ans": -0.09615, "tfidftopn": {"text_2": "the following table summarizes the activity in the allowance for doubtful accounts ( in millions ) : september 29 , september 30 , september 24 , 2007 2006 2005 .", "table_1": "The beginning allowance balance of september 29 2007 is $ 52 ; The beginning allowance balance of september 30 2006 is $ 46 ; The beginning allowance balance of september 24 2005 is $ 47 ;"}, "program_re": "divide(subtract(47, 52), 52)", "model_input": [["text_1", "one customer accounted for approximately 11% ( 11 % ) of trade receivables as of september 29 , 2007 , while no customers accounted for more than 10% ( 10 % ) of trade receivables as of september 30 , 2006 ."], ["table_1", "the beginning allowance balance of september 29 2007 is $ 52 ; the beginning allowance balance of september 30 2006 is $ 46 ; the beginning allowance balance of september 24 2005 is $ 47 ;"], ["table_4", "the ending allowance balance of september 29 2007 is $ 47 ; the ending allowance balance of september 30 2006 is $ 52 ; the ending allowance balance of september 24 2005 is $ 46 ;"]]}, "answers": ["-10%"]}, "rejected_source": {"id": "AAPL/2007/page_70.pdf-1", "qa": {"question": "what was the percentage change in the allowance for doubtful accounts from 2005 to 2006?", "answer": "13%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "52", "arg2": "46", "res": "6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "46", "res": "13%"}], "program": "subtract(52, 46), divide(#0, 46)", "gold_inds": {"table_4": "the ending allowance balance of september 29 2007 is $ 47 ; the ending allowance balance of september 30 2006 is $ 52 ; the ending allowance balance of september 24 2005 is $ 46 ;"}, "exe_ans": 0.13043, "tfidftopn": {"text_2": "the following table summarizes the activity in the allowance for doubtful accounts ( in millions ) : september 29 , september 30 , september 24 , 2007 2006 2005 .", "table_1": "The beginning allowance balance of september 29 2007 is $ 52 ; The beginning allowance balance of september 30 2006 is $ 46 ; The beginning allowance balance of september 24 2005 is $ 47 ;"}, "program_re": "divide(subtract(52, 46), 46)", "model_input": [["text_2", "the following table summarizes the activity in the allowance for doubtful accounts ( in millions ) : september 29 , september 30 , september 24 , 2007 2006 2005 ."], ["table_1", "the beginning allowance balance of september 29 2007 is $ 52 ; the beginning allowance balance of september 30 2006 is $ 46 ; the beginning allowance balance of september 24 2005 is $ 47 ;"], ["table_4", "the ending allowance balance of september 29 2007 is $ 47 ; the ending allowance balance of september 30 2006 is $ 52 ; the ending allowance balance of september 24 2005 is $ 46 ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000588", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the allowance for doubtful accounts from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "13%.", "rejected": "-10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in the allowance for doubtful accounts <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in the allowance for doubtful accounts <TIME>?", "original_question": "what was the percentage change in the allowance for doubtful accounts from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-10%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AAPL/2007/page_70.pdf-1", "qa": {"question": "what was the percentage change in the allowance for doubtful accounts from 2005 to 2006?", "answer": "13%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "52", "arg2": "46", "res": "6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "46", "res": "13%"}], "program": "subtract(52, 46), divide(#0, 46)", "gold_inds": {"table_4": "the ending allowance balance of september 29 2007 is $ 47 ; the ending allowance balance of september 30 2006 is $ 52 ; the ending allowance balance of september 24 2005 is $ 46 ;"}, "exe_ans": 0.13043, "tfidftopn": {"text_2": "the following table summarizes the activity in the allowance for doubtful accounts ( in millions ) : september 29 , september 30 , september 24 , 2007 2006 2005 .", "table_1": "The beginning allowance balance of september 29 2007 is $ 52 ; The beginning allowance balance of september 30 2006 is $ 46 ; The beginning allowance balance of september 24 2005 is $ 47 ;"}, "program_re": "divide(subtract(52, 46), 46)", "model_input": [["text_2", "the following table summarizes the activity in the allowance for doubtful accounts ( in millions ) : september 29 , september 30 , september 24 , 2007 2006 2005 ."], ["table_1", "the beginning allowance balance of september 29 2007 is $ 52 ; the beginning allowance balance of september 30 2006 is $ 46 ; the beginning allowance balance of september 24 2005 is $ 47 ;"], ["table_4", "the ending allowance balance of september 29 2007 is $ 47 ; the ending allowance balance of september 30 2006 is $ 52 ; the ending allowance balance of september 24 2005 is $ 46 ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "AAPL/2007/page_70.pdf-3", "qa": {"question": "what was the percentage change in the allowance for doubtful accounts from 2006 to 2007?", "answer": "-10%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "47", "arg2": "52", "res": "-5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "52", "res": "-10%"}], "program": "subtract(47, 52), divide(#0, 52)", "gold_inds": {"table_4": "the ending allowance balance of september 29 2007 is $ 47 ; the ending allowance balance of september 30 2006 is $ 52 ; the ending allowance balance of september 24 2005 is $ 46 ;"}, "exe_ans": -0.09615, "tfidftopn": {"text_2": "the following table summarizes the activity in the allowance for doubtful accounts ( in millions ) : september 29 , september 30 , september 24 , 2007 2006 2005 .", "table_1": "The beginning allowance balance of september 29 2007 is $ 52 ; The beginning allowance balance of september 30 2006 is $ 46 ; The beginning allowance balance of september 24 2005 is $ 47 ;"}, "program_re": "divide(subtract(47, 52), 52)", "model_input": [["text_1", "one customer accounted for approximately 11% ( 11 % ) of trade receivables as of september 29 , 2007 , while no customers accounted for more than 10% ( 10 % ) of trade receivables as of september 30 , 2006 ."], ["table_1", "the beginning allowance balance of september 29 2007 is $ 52 ; the beginning allowance balance of september 30 2006 is $ 46 ; the beginning allowance balance of september 24 2005 is $ 47 ;"], ["table_4", "the ending allowance balance of september 29 2007 is $ 47 ; the ending allowance balance of september 30 2006 is $ 52 ; the ending allowance balance of september 24 2005 is $ 46 ;"]]}, "answers": ["-10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000589", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of gross liability for unrecognized tax benefits from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-19.0%.", "rejected": "1.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ECL || what is the percentage change in the balance of gross liability for unrecognized tax benefits <TIME>?", "doc_prefix": "ECL", "base_question": "what is the percentage change in the balance of gross liability for unrecognized tax benefits <TIME>?", "original_question": "what is the percentage change in the balance of gross liability for unrecognized tax benefits from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.9%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-19.0%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ECL/2017/page_95.pdf-4", "qa": {"question": "what is the percentage change in the balance of gross liability for unrecognized tax benefits from 2016 to 2017?", "answer": "-19.0%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "61.5", "arg2": "75.9", "res": "-14.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "75.9", "res": "-19.0%"}], "program": "subtract(61.5, 75.9), divide(#0, 75.9)", "gold_inds": {"table_1": "( millions ) the balance at beginning of year of 2017 is $ 75.9 ; the balance at beginning of year of 2016 is $ 74.6 ; the balance at beginning of year of 2015 is $ 78.7 ;", "table_9": "( millions ) the balance at end of year of 2017 is $ 61.5 ; the balance at end of year of 2016 is $ 75.9 ; the balance at end of year of 2015 is $ 74.6 ;"}, "exe_ans": -0.18972, "tfidftopn": {"text_18": "a reconciliation of the beginning and ending amount of gross liability for unrecognized tax benefits is as follows: ."}, "program_re": "divide(subtract(61.5, 75.9), 75.9)", "model_input": [["table_1", "( millions ) the balance at beginning of year of 2017 is $ 75.9 ; the balance at beginning of year of 2016 is $ 74.6 ; the balance at beginning of year of 2015 is $ 78.7 ;"], ["table_9", "( millions ) the balance at end of year of 2017 is $ 61.5 ; the balance at end of year of 2016 is $ 75.9 ; the balance at end of year of 2015 is $ 74.6 ;"], ["text_19", "the total amount of unrecognized tax benefits , if recognized would have affected the effective tax rate by $ 47.1 million as of december 31 , 2017 , $ 57.5 million as of december 31 , 2016 and $ 59.2 million as of december 31 , 2015 ."]]}, "answers": ["-19.0%"]}, "rejected_source": {"id": "ECL/2017/page_95.pdf-3", "qa": {"question": "what is the percentage change in the balance of gross liability for unrecognized tax benefits from 2015 to 2016?", "answer": "1.9%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "75.9", "arg2": "74.6", "res": "1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "74.6", "res": "1.9%"}], "program": "subtract(75.9, 74.6), divide(#0, 74.6)", "gold_inds": {"table_1": "( millions ) the balance at beginning of year of 2017 is $ 75.9 ; the balance at beginning of year of 2016 is $ 74.6 ; the balance at beginning of year of 2015 is $ 78.7 ;", "table_9": "( millions ) the balance at end of year of 2017 is $ 61.5 ; the balance at end of year of 2016 is $ 75.9 ; the balance at end of year of 2015 is $ 74.6 ;"}, "exe_ans": 0.01743, "tfidftopn": {"text_18": "a reconciliation of the beginning and ending amount of gross liability for unrecognized tax benefits is as follows: ."}, "program_re": "divide(subtract(75.9, 74.6), 74.6)", "model_input": [["table_1", "( millions ) the balance at beginning of year of 2017 is $ 75.9 ; the balance at beginning of year of 2016 is $ 74.6 ; the balance at beginning of year of 2015 is $ 78.7 ;"], ["table_9", "( millions ) the balance at end of year of 2017 is $ 61.5 ; the balance at end of year of 2016 is $ 75.9 ; the balance at end of year of 2015 is $ 74.6 ;"], ["text_19", "the total amount of unrecognized tax benefits , if recognized would have affected the effective tax rate by $ 47.1 million as of december 31 , 2017 , $ 57.5 million as of december 31 , 2016 and $ 59.2 million as of december 31 , 2015 ."]]}, "answers": ["1.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000590", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of gross liability for unrecognized tax benefits from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1.9%.", "rejected": "-19.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ECL || what is the percentage change in the balance of gross liability for unrecognized tax benefits <TIME>?", "doc_prefix": "ECL", "base_question": "what is the percentage change in the balance of gross liability for unrecognized tax benefits <TIME>?", "original_question": "what is the percentage change in the balance of gross liability for unrecognized tax benefits from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.9%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-19.0%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ECL/2017/page_95.pdf-3", "qa": {"question": "what is the percentage change in the balance of gross liability for unrecognized tax benefits from 2015 to 2016?", "answer": "1.9%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "75.9", "arg2": "74.6", "res": "1.4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "74.6", "res": "1.9%"}], "program": "subtract(75.9, 74.6), divide(#0, 74.6)", "gold_inds": {"table_1": "( millions ) the balance at beginning of year of 2017 is $ 75.9 ; the balance at beginning of year of 2016 is $ 74.6 ; the balance at beginning of year of 2015 is $ 78.7 ;", "table_9": "( millions ) the balance at end of year of 2017 is $ 61.5 ; the balance at end of year of 2016 is $ 75.9 ; the balance at end of year of 2015 is $ 74.6 ;"}, "exe_ans": 0.01743, "tfidftopn": {"text_18": "a reconciliation of the beginning and ending amount of gross liability for unrecognized tax benefits is as follows: ."}, "program_re": "divide(subtract(75.9, 74.6), 74.6)", "model_input": [["table_1", "( millions ) the balance at beginning of year of 2017 is $ 75.9 ; the balance at beginning of year of 2016 is $ 74.6 ; the balance at beginning of year of 2015 is $ 78.7 ;"], ["table_9", "( millions ) the balance at end of year of 2017 is $ 61.5 ; the balance at end of year of 2016 is $ 75.9 ; the balance at end of year of 2015 is $ 74.6 ;"], ["text_19", "the total amount of unrecognized tax benefits , if recognized would have affected the effective tax rate by $ 47.1 million as of december 31 , 2017 , $ 57.5 million as of december 31 , 2016 and $ 59.2 million as of december 31 , 2015 ."]]}, "answers": ["1.9%"]}, "rejected_source": {"id": "ECL/2017/page_95.pdf-4", "qa": {"question": "what is the percentage change in the balance of gross liability for unrecognized tax benefits from 2016 to 2017?", "answer": "-19.0%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "61.5", "arg2": "75.9", "res": "-14.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "75.9", "res": "-19.0%"}], "program": "subtract(61.5, 75.9), divide(#0, 75.9)", "gold_inds": {"table_1": "( millions ) the balance at beginning of year of 2017 is $ 75.9 ; the balance at beginning of year of 2016 is $ 74.6 ; the balance at beginning of year of 2015 is $ 78.7 ;", "table_9": "( millions ) the balance at end of year of 2017 is $ 61.5 ; the balance at end of year of 2016 is $ 75.9 ; the balance at end of year of 2015 is $ 74.6 ;"}, "exe_ans": -0.18972, "tfidftopn": {"text_18": "a reconciliation of the beginning and ending amount of gross liability for unrecognized tax benefits is as follows: ."}, "program_re": "divide(subtract(61.5, 75.9), 75.9)", "model_input": [["table_1", "( millions ) the balance at beginning of year of 2017 is $ 75.9 ; the balance at beginning of year of 2016 is $ 74.6 ; the balance at beginning of year of 2015 is $ 78.7 ;"], ["table_9", "( millions ) the balance at end of year of 2017 is $ 61.5 ; the balance at end of year of 2016 is $ 75.9 ; the balance at end of year of 2015 is $ 74.6 ;"], ["text_19", "the total amount of unrecognized tax benefits , if recognized would have affected the effective tax rate by $ 47.1 million as of december 31 , 2017 , $ 57.5 million as of december 31 , 2016 and $ 59.2 million as of december 31 , 2015 ."]]}, "answers": ["-19.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000591", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in research and development expenses from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-18.3%.", "rejected": "1.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the growth rate in research and development expenses <TIME>?", "doc_prefix": "CE", "base_question": "what is the growth rate in research and development expenses <TIME>?", "original_question": "what is the growth rate in research and development expenses from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-18.3%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "1.2%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "CE/2014/page_16.pdf-4", "qa": {"question": "what is the growth rate in research and development expenses from 2012 to 2013?", "answer": "-18.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [12], "steps": [{"op": "minus2-1", "arg1": "85", "arg2": "104", "res": "-19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "104", "res": "-18.3%"}], "program": "subtract(85, 104), divide(#0, 104)", "gold_inds": {"text_12": "research and development expense was $ 86 million , $ 85 million and $ 104 million for the years ended december 31 , 2014 , 2013 and 2012 , respectively ."}, "exe_ans": -0.18269, "tfidftopn": {"text_11": "research and development our businesses are innovation-oriented and conduct research and development activities to develop new , and optimize existing , production technologies , as well as to develop commercially viable new products and applications .", "text_6": "in 2014 , 2013 and 2012 , we received cash dividends of $ 115 million , $ 92 million and $ 83 million , respectively ."}, "program_re": "divide(subtract(85, 104), 104)", "model_input": [["text_4", "cellulose derivatives strategic ventures ."], ["text_7", "although our ownership interest in each of our cellulose derivatives ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states of america ( \"us gaap\" ) ."], ["text_12", "research and development expense was $ 86 million , $ 85 million and $ 104 million for the years ended december 31 , 2014 , 2013 and 2012 , respectively ."]]}, "answers": ["-18.3%"]}, "rejected_source": {"id": "CE/2014/page_16.pdf-1", "qa": {"question": "what is the growth rate in research and development expenses from 2013 to 2014?", "answer": "1.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [12], "steps": [{"op": "minus1-1", "arg1": "86", "arg2": "85", "res": "1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "85", "res": "1.2%"}], "program": "subtract(86, 85), divide(#0, 85)", "gold_inds": {"text_12": "research and development expense was $ 86 million , $ 85 million and $ 104 million for the years ended december 31 , 2014 , 2013 and 2012 , respectively ."}, "exe_ans": 0.01176, "tfidftopn": {"text_11": "research and development our businesses are innovation-oriented and conduct research and development activities to develop new , and optimize existing , production technologies , as well as to develop commercially viable new products and applications .", "text_13": "we consider the amounts spent during each of the last three fiscal years on research and development activities to be sufficient to execute our current strategic initiatives ."}, "program_re": "divide(subtract(86, 85), 85)", "model_input": [["text_4", "cellulose derivatives strategic ventures ."], ["text_7", "although our ownership interest in each of our cellulose derivatives ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states of america ( \"us gaap\" ) ."], ["text_12", "research and development expense was $ 86 million , $ 85 million and $ 104 million for the years ended december 31 , 2014 , 2013 and 2012 , respectively ."]]}, "answers": ["1.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000592", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in research and development expenses from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "1.2%.", "rejected": "-18.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the growth rate in research and development expenses <TIME>?", "doc_prefix": "CE", "base_question": "what is the growth rate in research and development expenses <TIME>?", "original_question": "what is the growth rate in research and development expenses from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-18.3%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "1.2%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "CE/2014/page_16.pdf-1", "qa": {"question": "what is the growth rate in research and development expenses from 2013 to 2014?", "answer": "1.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [12], "steps": [{"op": "minus1-1", "arg1": "86", "arg2": "85", "res": "1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "85", "res": "1.2%"}], "program": "subtract(86, 85), divide(#0, 85)", "gold_inds": {"text_12": "research and development expense was $ 86 million , $ 85 million and $ 104 million for the years ended december 31 , 2014 , 2013 and 2012 , respectively ."}, "exe_ans": 0.01176, "tfidftopn": {"text_11": "research and development our businesses are innovation-oriented and conduct research and development activities to develop new , and optimize existing , production technologies , as well as to develop commercially viable new products and applications .", "text_13": "we consider the amounts spent during each of the last three fiscal years on research and development activities to be sufficient to execute our current strategic initiatives ."}, "program_re": "divide(subtract(86, 85), 85)", "model_input": [["text_4", "cellulose derivatives strategic ventures ."], ["text_7", "although our ownership interest in each of our cellulose derivatives ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states of america ( \"us gaap\" ) ."], ["text_12", "research and development expense was $ 86 million , $ 85 million and $ 104 million for the years ended december 31 , 2014 , 2013 and 2012 , respectively ."]]}, "answers": ["1.2%"]}, "rejected_source": {"id": "CE/2014/page_16.pdf-4", "qa": {"question": "what is the growth rate in research and development expenses from 2012 to 2013?", "answer": "-18.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [12], "steps": [{"op": "minus2-1", "arg1": "85", "arg2": "104", "res": "-19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "104", "res": "-18.3%"}], "program": "subtract(85, 104), divide(#0, 104)", "gold_inds": {"text_12": "research and development expense was $ 86 million , $ 85 million and $ 104 million for the years ended december 31 , 2014 , 2013 and 2012 , respectively ."}, "exe_ans": -0.18269, "tfidftopn": {"text_11": "research and development our businesses are innovation-oriented and conduct research and development activities to develop new , and optimize existing , production technologies , as well as to develop commercially viable new products and applications .", "text_6": "in 2014 , 2013 and 2012 , we received cash dividends of $ 115 million , $ 92 million and $ 83 million , respectively ."}, "program_re": "divide(subtract(85, 104), 104)", "model_input": [["text_4", "cellulose derivatives strategic ventures ."], ["text_7", "although our ownership interest in each of our cellulose derivatives ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states of america ( \"us gaap\" ) ."], ["text_12", "research and development expense was $ 86 million , $ 85 million and $ 104 million for the years ended december 31 , 2014 , 2013 and 2012 , respectively ."]]}, "answers": ["-18.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000593", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of allowances from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-21.1%.", "rejected": "148.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in the balance of allowances <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in the balance of allowances <TIME>?", "original_question": "what is the percentage change in the balance of allowances from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"148.4%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "-21.1%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "AMT/2010/page_82.pdf-1", "qa": {"question": "what is the percentage change in the balance of allowances from 2009 to 2010?", "answer": "-21.1%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22505", "arg2": "28520", "res": "-6015"}, {"op": "divide1-2", "arg1": "#0", "arg2": "28520", "res": "-21.1%"}], "program": "subtract(22505, 28520), divide(#0, 28520)", "gold_inds": {"table_1": "the balance as of january 1 , of 2010 is $ 28520 ; the balance as of january 1 , of 2009 is $ 11482 ; the balance as of january 1 , of 2008 is $ 8850 ;", "table_4": "the balance as of december 31 , of 2010 is $ 22505 ; the balance as of december 31 , of 2009 is $ 28520 ; the balance as of december 31 , of 2008 is $ 11482 ;"}, "exe_ans": -0.2109, "tfidftopn": {"text_29": "the change in functional ."}, "program_re": "divide(subtract(22505, 28520), 28520)", "model_input": [["table_1", "the balance as of january 1 , of 2010 is $ 28520 ; the balance as of january 1 , of 2009 is $ 11482 ; the balance as of january 1 , of 2008 is $ 8850 ;"], ["table_2", "the current year increases of 2010 is 16219 ; the current year increases of 2009 is 26771 ; the current year increases of 2008 is 12059 ;"], ["table_4", "the balance as of december 31 , of 2010 is $ 22505 ; the balance as of december 31 , of 2009 is $ 28520 ; the balance as of december 31 , of 2008 is $ 11482 ;"]]}, "answers": ["-21.1%"]}, "rejected_source": {"id": "AMT/2010/page_82.pdf-4", "qa": {"question": "what is the percentage change in the balance of allowances from 2008 to 2009?", "answer": "148.4%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "28520", "arg2": "11482", "res": "17038"}, {"op": "divide2-2", "arg1": "#0", "arg2": "11482", "res": "148.4%"}], "program": "subtract(28520, 11482), divide(#0, 11482)", "gold_inds": {"table_1": "the balance as of january 1 , of 2010 is $ 28520 ; the balance as of january 1 , of 2009 is $ 11482 ; the balance as of january 1 , of 2008 is $ 8850 ;", "table_4": "the balance as of december 31 , of 2010 is $ 22505 ; the balance as of december 31 , of 2009 is $ 28520 ; the balance as of december 31 , of 2008 is $ 11482 ;"}, "exe_ans": 1.48389, "tfidftopn": {"text_29": "the change in functional ."}, "program_re": "divide(subtract(28520, 11482), 11482)", "model_input": [["table_1", "the balance as of january 1 , of 2010 is $ 28520 ; the balance as of january 1 , of 2009 is $ 11482 ; the balance as of january 1 , of 2008 is $ 8850 ;"], ["table_2", "the current year increases of 2010 is 16219 ; the current year increases of 2009 is 26771 ; the current year increases of 2008 is 12059 ;"], ["table_4", "the balance as of december 31 , of 2010 is $ 22505 ; the balance as of december 31 , of 2009 is $ 28520 ; the balance as of december 31 , of 2008 is $ 11482 ;"]]}, "answers": ["148.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000594", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of allowances from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "148.4%.", "rejected": "-21.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in the balance of allowances <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in the balance of allowances <TIME>?", "original_question": "what is the percentage change in the balance of allowances from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"148.4%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "-21.1%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "AMT/2010/page_82.pdf-4", "qa": {"question": "what is the percentage change in the balance of allowances from 2008 to 2009?", "answer": "148.4%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "28520", "arg2": "11482", "res": "17038"}, {"op": "divide2-2", "arg1": "#0", "arg2": "11482", "res": "148.4%"}], "program": "subtract(28520, 11482), divide(#0, 11482)", "gold_inds": {"table_1": "the balance as of january 1 , of 2010 is $ 28520 ; the balance as of january 1 , of 2009 is $ 11482 ; the balance as of january 1 , of 2008 is $ 8850 ;", "table_4": "the balance as of december 31 , of 2010 is $ 22505 ; the balance as of december 31 , of 2009 is $ 28520 ; the balance as of december 31 , of 2008 is $ 11482 ;"}, "exe_ans": 1.48389, "tfidftopn": {"text_29": "the change in functional ."}, "program_re": "divide(subtract(28520, 11482), 11482)", "model_input": [["table_1", "the balance as of january 1 , of 2010 is $ 28520 ; the balance as of january 1 , of 2009 is $ 11482 ; the balance as of january 1 , of 2008 is $ 8850 ;"], ["table_2", "the current year increases of 2010 is 16219 ; the current year increases of 2009 is 26771 ; the current year increases of 2008 is 12059 ;"], ["table_4", "the balance as of december 31 , of 2010 is $ 22505 ; the balance as of december 31 , of 2009 is $ 28520 ; the balance as of december 31 , of 2008 is $ 11482 ;"]]}, "answers": ["148.4%"]}, "rejected_source": {"id": "AMT/2010/page_82.pdf-1", "qa": {"question": "what is the percentage change in the balance of allowances from 2009 to 2010?", "answer": "-21.1%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22505", "arg2": "28520", "res": "-6015"}, {"op": "divide1-2", "arg1": "#0", "arg2": "28520", "res": "-21.1%"}], "program": "subtract(22505, 28520), divide(#0, 28520)", "gold_inds": {"table_1": "the balance as of january 1 , of 2010 is $ 28520 ; the balance as of january 1 , of 2009 is $ 11482 ; the balance as of january 1 , of 2008 is $ 8850 ;", "table_4": "the balance as of december 31 , of 2010 is $ 22505 ; the balance as of december 31 , of 2009 is $ 28520 ; the balance as of december 31 , of 2008 is $ 11482 ;"}, "exe_ans": -0.2109, "tfidftopn": {"text_29": "the change in functional ."}, "program_re": "divide(subtract(22505, 28520), 28520)", "model_input": [["table_1", "the balance as of january 1 , of 2010 is $ 28520 ; the balance as of january 1 , of 2009 is $ 11482 ; the balance as of january 1 , of 2008 is $ 8850 ;"], ["table_2", "the current year increases of 2010 is 16219 ; the current year increases of 2009 is 26771 ; the current year increases of 2008 is 12059 ;"], ["table_4", "the balance as of december 31 , of 2010 is $ 22505 ; the balance as of december 31 , of 2009 is $ 28520 ; the balance as of december 31 , of 2008 is $ 11482 ;"]]}, "answers": ["-21.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000595", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage where north american consumer packaging net sales of consumer packaging sales in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "58%.", "rejected": "59%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage where north american consumer packaging net sales of consumer packaging sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage where north american consumer packaging net sales of consumer packaging sales <TIME>?", "original_question": "what percentage where north american consumer packaging net sales of consumer packaging sales in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"58%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "59%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "IP/2014/page_66.pdf-2", "qa": {"question": "what percentage where north american consumer packaging net sales of consumer packaging sales in 2013?", "answer": "58%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [39], "steps": [{"op": "multiply2-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3435", "res": "58%"}], "program": "multiply(const_2, const_1000), divide(#0, 3435)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;", "text_39": "north american consumer packaging net sales were $ 2.0 billion in 2014 compared with $ 2.0 billion in 2013 and $ 2.0 billion in 2012 ."}, "exe_ans": 0.58224, "tfidftopn": {"text_38": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3435)", "model_input": [["table_1", "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;"], ["table_2", "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"], ["text_39", "north american consumer packaging net sales were $ 2.0 billion in 2014 compared with $ 2.0 billion in 2013 and $ 2.0 billion in 2012 ."]]}, "answers": ["58%"]}, "rejected_source": {"id": "IP/2014/page_66.pdf-1", "qa": {"question": "what percentage where north american consumer packaging net sales of consumer packaging sales in 2014?", "answer": "59%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [39], "steps": [{"op": "multiply1-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3403", "res": "59%"}], "program": "multiply(const_2, const_1000), divide(#0, 3403)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;", "text_39": "north american consumer packaging net sales were $ 2.0 billion in 2014 compared with $ 2.0 billion in 2013 and $ 2.0 billion in 2012 ."}, "exe_ans": 0.58772, "tfidftopn": {"text_38": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3403)", "model_input": [["table_1", "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;"], ["table_2", "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"], ["text_39", "north american consumer packaging net sales were $ 2.0 billion in 2014 compared with $ 2.0 billion in 2013 and $ 2.0 billion in 2012 ."]]}, "answers": ["59%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000596", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage where north american consumer packaging net sales of consumer packaging sales in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "59%.", "rejected": "58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage where north american consumer packaging net sales of consumer packaging sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage where north american consumer packaging net sales of consumer packaging sales <TIME>?", "original_question": "what percentage where north american consumer packaging net sales of consumer packaging sales in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"58%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "59%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "IP/2014/page_66.pdf-1", "qa": {"question": "what percentage where north american consumer packaging net sales of consumer packaging sales in 2014?", "answer": "59%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [39], "steps": [{"op": "multiply1-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3403", "res": "59%"}], "program": "multiply(const_2, const_1000), divide(#0, 3403)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;", "text_39": "north american consumer packaging net sales were $ 2.0 billion in 2014 compared with $ 2.0 billion in 2013 and $ 2.0 billion in 2012 ."}, "exe_ans": 0.58772, "tfidftopn": {"text_38": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3403)", "model_input": [["table_1", "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;"], ["table_2", "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"], ["text_39", "north american consumer packaging net sales were $ 2.0 billion in 2014 compared with $ 2.0 billion in 2013 and $ 2.0 billion in 2012 ."]]}, "answers": ["59%"]}, "rejected_source": {"id": "IP/2014/page_66.pdf-2", "qa": {"question": "what percentage where north american consumer packaging net sales of consumer packaging sales in 2013?", "answer": "58%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [39], "steps": [{"op": "multiply2-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3435", "res": "58%"}], "program": "multiply(const_2, const_1000), divide(#0, 3435)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;", "text_39": "north american consumer packaging net sales were $ 2.0 billion in 2014 compared with $ 2.0 billion in 2013 and $ 2.0 billion in 2012 ."}, "exe_ans": 0.58224, "tfidftopn": {"text_38": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3435)", "model_input": [["table_1", "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;"], ["table_2", "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"], ["text_39", "north american consumer packaging net sales were $ 2.0 billion in 2014 compared with $ 2.0 billion in 2013 and $ 2.0 billion in 2012 ."]]}, "answers": ["58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000597", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of total liabilities for litigation settlements during 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-73.", "rejected": "1332.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MA || what is the net change in the balance of total liabilities for litigation settlements <TIME>?", "doc_prefix": "MA", "base_question": "what is the net change in the balance of total liabilities for litigation settlements <TIME>?", "original_question": "what is the net change in the balance of total liabilities for litigation settlements during 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-73": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "1332": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "MA/2008/page_70.pdf-2", "qa": {"question": "what is the net change in the balance of total liabilities for litigation settlements during 2007?", "answer": "-73", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "404", "arg2": "477", "res": "-73"}], "program": "subtract(404, 477)", "gold_inds": {"table_4": "balance as of december 31 2006 the balance as of december 31 2007 of $ 477 is $ 404 ;"}, "exe_ans": -73.0, "tfidftopn": {"text_1": "total liabilities for litigation settlements changed from december 31 , 2006 , as follows : ( in millions ) .", "text_0": "we recorded liabilities for certain litigation settlements in prior periods ."}, "program_re": "subtract(404, 477)", "model_input": [["table_0", "balance as of december 31 2006 the balance as of december 31 2006 of $ 477 is $ 477 ;"], ["table_4", "balance as of december 31 2006 the balance as of december 31 2007 of $ 477 is $ 404 ;"], ["table_14", "balance as of december 31 2006 the balance as of december 31 2008 of $ 477 is $ 1736 ;"]]}, "answers": ["-73"]}, "rejected_source": {"id": "MA/2008/page_70.pdf-1", "qa": {"question": "what is the net change in the balance of total liabilities for litigation settlements during 2008?", "answer": "1332", "explanation": "", "ann_table_rows": [4, 14], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1736", "arg2": "404", "res": "1332"}], "program": "subtract(1736, 404)", "gold_inds": {"table_4": "balance as of december 31 2006 the balance as of december 31 2007 of $ 477 is $ 404 ;", "table_14": "balance as of december 31 2006 the balance as of december 31 2008 of $ 477 is $ 1736 ;"}, "exe_ans": 1332.0, "tfidftopn": {"text_1": "total liabilities for litigation settlements changed from december 31 , 2006 , as follows : ( in millions ) ."}, "program_re": "subtract(1736, 404)", "model_input": [["table_0", "balance as of december 31 2006 the balance as of december 31 2006 of $ 477 is $ 477 ;"], ["table_4", "balance as of december 31 2006 the balance as of december 31 2007 of $ 477 is $ 404 ;"], ["table_14", "balance as of december 31 2006 the balance as of december 31 2008 of $ 477 is $ 1736 ;"]]}, "answers": ["1332"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000598", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of total liabilities for litigation settlements during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "1332.", "rejected": "-73.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MA || what is the net change in the balance of total liabilities for litigation settlements <TIME>?", "doc_prefix": "MA", "base_question": "what is the net change in the balance of total liabilities for litigation settlements <TIME>?", "original_question": "what is the net change in the balance of total liabilities for litigation settlements during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-73": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "1332": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "MA/2008/page_70.pdf-1", "qa": {"question": "what is the net change in the balance of total liabilities for litigation settlements during 2008?", "answer": "1332", "explanation": "", "ann_table_rows": [4, 14], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1736", "arg2": "404", "res": "1332"}], "program": "subtract(1736, 404)", "gold_inds": {"table_4": "balance as of december 31 2006 the balance as of december 31 2007 of $ 477 is $ 404 ;", "table_14": "balance as of december 31 2006 the balance as of december 31 2008 of $ 477 is $ 1736 ;"}, "exe_ans": 1332.0, "tfidftopn": {"text_1": "total liabilities for litigation settlements changed from december 31 , 2006 , as follows : ( in millions ) ."}, "program_re": "subtract(1736, 404)", "model_input": [["table_0", "balance as of december 31 2006 the balance as of december 31 2006 of $ 477 is $ 477 ;"], ["table_4", "balance as of december 31 2006 the balance as of december 31 2007 of $ 477 is $ 404 ;"], ["table_14", "balance as of december 31 2006 the balance as of december 31 2008 of $ 477 is $ 1736 ;"]]}, "answers": ["1332"]}, "rejected_source": {"id": "MA/2008/page_70.pdf-2", "qa": {"question": "what is the net change in the balance of total liabilities for litigation settlements during 2007?", "answer": "-73", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "404", "arg2": "477", "res": "-73"}], "program": "subtract(404, 477)", "gold_inds": {"table_4": "balance as of december 31 2006 the balance as of december 31 2007 of $ 477 is $ 404 ;"}, "exe_ans": -73.0, "tfidftopn": {"text_1": "total liabilities for litigation settlements changed from december 31 , 2006 , as follows : ( in millions ) .", "text_0": "we recorded liabilities for certain litigation settlements in prior periods ."}, "program_re": "subtract(404, 477)", "model_input": [["table_0", "balance as of december 31 2006 the balance as of december 31 2006 of $ 477 is $ 477 ;"], ["table_4", "balance as of december 31 2006 the balance as of december 31 2007 of $ 477 is $ 404 ;"], ["table_14", "balance as of december 31 2006 the balance as of december 31 2008 of $ 477 is $ 1736 ;"]]}, "answers": ["-73"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000599", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in pre-tax earnings for the institutional client services segment between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-30%.", "rejected": "10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what was the percentage change in pre-tax earnings for the institutional client services segment <TIME>?", "doc_prefix": "GS", "base_question": "what was the percentage change in pre-tax earnings for the institutional client services segment <TIME>?", "original_question": "what was the percentage change in pre-tax earnings for the institutional client services segment between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-30%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "10%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014"}]}, "chosen_source": {"id": "GS/2014/page_44.pdf-1", "qa": {"question": "what was the percentage change in pre-tax earnings for the institutional client services segment between 2012 and 2013?", "answer": "-30%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "3929", "arg2": "5634", "res": "-1705"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5634", "res": "-30%"}], "program": "subtract(3929, 5634), divide(#0, 5634)", "gold_inds": {"table_8": "$ in millions the pre-tax earnings of year ended december 2014 is $ 4317 ; the pre-tax earnings of year ended december 2013 is $ 3929 ; the pre-tax earnings of year ended december 2012 is $ 5634 ;"}, "exe_ans": -0.30263, "tfidftopn": {"text_0": "management 2019s discussion and analysis institutional client services our institutional client services segment is comprised of : fixed income , currency and commodities client execution .", "text_16": "the table below presents the operating results of our institutional client services segment. ."}, "program_re": "divide(subtract(3929, 5634), 5634)", "model_input": [["text_16", "the table below presents the operating results of our institutional client services segment. ."], ["table_8", "$ in millions the pre-tax earnings of year ended december 2014 is $ 4317 ; the pre-tax earnings of year ended december 2013 is $ 3929 ; the pre-tax earnings of year ended december 2012 is $ 5634 ;"], ["text_17", "1 ."]]}, "answers": ["-30%"]}, "rejected_source": {"id": "GS/2014/page_44.pdf-2", "qa": {"question": "what was the percentage change in pre-tax earnings for the institutional client services segment between 2013 and 2014?", "answer": "10%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4317", "arg2": "3929", "res": "388"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3929", "res": "10%"}], "program": "subtract(4317, 3929), divide(#0, 3929)", "gold_inds": {"table_8": "$ in millions the pre-tax earnings of year ended december 2014 is $ 4317 ; the pre-tax earnings of year ended december 2013 is $ 3929 ; the pre-tax earnings of year ended december 2012 is $ 5634 ;"}, "exe_ans": 0.09875, "tfidftopn": {"text_0": "management 2019s discussion and analysis institutional client services our institutional client services segment is comprised of : fixed income , currency and commodities client execution .", "text_16": "the table below presents the operating results of our institutional client services segment. ."}, "program_re": "divide(subtract(4317, 3929), 3929)", "model_input": [["text_16", "the table below presents the operating results of our institutional client services segment. ."], ["table_8", "$ in millions the pre-tax earnings of year ended december 2014 is $ 4317 ; the pre-tax earnings of year ended december 2013 is $ 3929 ; the pre-tax earnings of year ended december 2012 is $ 5634 ;"], ["text_17", "1 ."]]}, "answers": ["10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000600", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in pre-tax earnings for the institutional client services segment between 2013 and 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "10%.", "rejected": "-30%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what was the percentage change in pre-tax earnings for the institutional client services segment <TIME>?", "doc_prefix": "GS", "base_question": "what was the percentage change in pre-tax earnings for the institutional client services segment <TIME>?", "original_question": "what was the percentage change in pre-tax earnings for the institutional client services segment between 2013 and 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-30%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "10%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014"}]}, "chosen_source": {"id": "GS/2014/page_44.pdf-2", "qa": {"question": "what was the percentage change in pre-tax earnings for the institutional client services segment between 2013 and 2014?", "answer": "10%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4317", "arg2": "3929", "res": "388"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3929", "res": "10%"}], "program": "subtract(4317, 3929), divide(#0, 3929)", "gold_inds": {"table_8": "$ in millions the pre-tax earnings of year ended december 2014 is $ 4317 ; the pre-tax earnings of year ended december 2013 is $ 3929 ; the pre-tax earnings of year ended december 2012 is $ 5634 ;"}, "exe_ans": 0.09875, "tfidftopn": {"text_0": "management 2019s discussion and analysis institutional client services our institutional client services segment is comprised of : fixed income , currency and commodities client execution .", "text_16": "the table below presents the operating results of our institutional client services segment. ."}, "program_re": "divide(subtract(4317, 3929), 3929)", "model_input": [["text_16", "the table below presents the operating results of our institutional client services segment. ."], ["table_8", "$ in millions the pre-tax earnings of year ended december 2014 is $ 4317 ; the pre-tax earnings of year ended december 2013 is $ 3929 ; the pre-tax earnings of year ended december 2012 is $ 5634 ;"], ["text_17", "1 ."]]}, "answers": ["10%"]}, "rejected_source": {"id": "GS/2014/page_44.pdf-1", "qa": {"question": "what was the percentage change in pre-tax earnings for the institutional client services segment between 2012 and 2013?", "answer": "-30%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "3929", "arg2": "5634", "res": "-1705"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5634", "res": "-30%"}], "program": "subtract(3929, 5634), divide(#0, 5634)", "gold_inds": {"table_8": "$ in millions the pre-tax earnings of year ended december 2014 is $ 4317 ; the pre-tax earnings of year ended december 2013 is $ 3929 ; the pre-tax earnings of year ended december 2012 is $ 5634 ;"}, "exe_ans": -0.30263, "tfidftopn": {"text_0": "management 2019s discussion and analysis institutional client services our institutional client services segment is comprised of : fixed income , currency and commodities client execution .", "text_16": "the table below presents the operating results of our institutional client services segment. ."}, "program_re": "divide(subtract(3929, 5634), 5634)", "model_input": [["text_16", "the table below presents the operating results of our institutional client services segment. ."], ["table_8", "$ in millions the pre-tax earnings of year ended december 2014 is $ 4317 ; the pre-tax earnings of year ended december 2013 is $ 3929 ; the pre-tax earnings of year ended december 2012 is $ 5634 ;"], ["text_17", "1 ."]]}, "answers": ["-30%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000601", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of non-controlling interests from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "14.9%.", "rejected": "3.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CME || what is the percentage change in the balance of non-controlling interests <TIME>?", "doc_prefix": "CME", "base_question": "what is the percentage change in the balance of non-controlling interests <TIME>?", "original_question": "what is the percentage change in the balance of non-controlling interests from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.2%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "14.9%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "CME/2012/page_103.pdf-1", "qa": {"question": "what is the percentage change in the balance of non-controlling interests from 2011 to 2012?", "answer": "14.9%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "80.8", "arg2": "70.3", "res": "10.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "80.8", "res": "14.9%"}], "program": "subtract(80.8, 70.3), divide(#0, 80.8)", "gold_inds": {"table_6": "( in millions ) the balance at december 31 of 2012 is $ 80.8 ; the balance at december 31 of 2011 is $ 70.3 ; the balance at december 31 of 2010 is $ 68.1 ;"}, "exe_ans": 0.12995, "tfidftopn": {"text_26": "non- controlling interests that do not contain redemption features are presented in the statements of equity. .", "text_25": "redeemable non-controlling interest the following summarizes the changes in redeemable non-controlling interest for the years presented ."}, "program_re": "divide(subtract(80.8, 70.3), 80.8)", "model_input": [["table_1", "( in millions ) the balance at january 1 of 2012 is $ 70.3 ; the balance at january 1 of 2011 is $ 68.1 ; the balance at january 1 of 2010 is $ 2014 ;"], ["table_5", "( in millions ) the total comprehensive income attributable to redeemable non-controlling interest of 2012 is 10.5 ; the total comprehensive income attributable to redeemable non-controlling interest of 2011 is 2.1 ; the total comprehensive income attributable to redeemable non-controlling interest of 2010 is 0.6 ;"], ["table_6", "( in millions ) the balance at december 31 of 2012 is $ 80.8 ; the balance at december 31 of 2011 is $ 70.3 ; the balance at december 31 of 2010 is $ 68.1 ;"]]}, "answers": ["14.9%"]}, "rejected_source": {"id": "CME/2012/page_103.pdf-4", "qa": {"question": "what is the percentage change in the balance of non-controlling interests from 2010 to 2011?", "answer": "3.2%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "70.3", "arg2": "68.1", "res": "2.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "68.1", "res": "3.2%"}], "program": "subtract(70.3, 68.1), divide(#0, 68.1)", "gold_inds": {"table_6": "( in millions ) the balance at december 31 of 2012 is $ 80.8 ; the balance at december 31 of 2011 is $ 70.3 ; the balance at december 31 of 2010 is $ 68.1 ;"}, "exe_ans": 0.03231, "tfidftopn": {"text_26": "non- controlling interests that do not contain redemption features are presented in the statements of equity. .", "table_1": "( in millions ) The balance at january 1 of 2012 is $ 70.3 ; The balance at january 1 of 2011 is $ 68.1 ; The balance at january 1 of 2010 is $ 2014 ;"}, "program_re": "divide(subtract(70.3, 68.1), 68.1)", "model_input": [["table_1", "( in millions ) the balance at january 1 of 2012 is $ 70.3 ; the balance at january 1 of 2011 is $ 68.1 ; the balance at january 1 of 2010 is $ 2014 ;"], ["table_5", "( in millions ) the total comprehensive income attributable to redeemable non-controlling interest of 2012 is 10.5 ; the total comprehensive income attributable to redeemable non-controlling interest of 2011 is 2.1 ; the total comprehensive income attributable to redeemable non-controlling interest of 2010 is 0.6 ;"], ["table_6", "( in millions ) the balance at december 31 of 2012 is $ 80.8 ; the balance at december 31 of 2011 is $ 70.3 ; the balance at december 31 of 2010 is $ 68.1 ;"]]}, "answers": ["3.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000602", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of non-controlling interests from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "3.2%.", "rejected": "14.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CME || what is the percentage change in the balance of non-controlling interests <TIME>?", "doc_prefix": "CME", "base_question": "what is the percentage change in the balance of non-controlling interests <TIME>?", "original_question": "what is the percentage change in the balance of non-controlling interests from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.2%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "14.9%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "CME/2012/page_103.pdf-4", "qa": {"question": "what is the percentage change in the balance of non-controlling interests from 2010 to 2011?", "answer": "3.2%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "70.3", "arg2": "68.1", "res": "2.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "68.1", "res": "3.2%"}], "program": "subtract(70.3, 68.1), divide(#0, 68.1)", "gold_inds": {"table_6": "( in millions ) the balance at december 31 of 2012 is $ 80.8 ; the balance at december 31 of 2011 is $ 70.3 ; the balance at december 31 of 2010 is $ 68.1 ;"}, "exe_ans": 0.03231, "tfidftopn": {"text_26": "non- controlling interests that do not contain redemption features are presented in the statements of equity. .", "table_1": "( in millions ) The balance at january 1 of 2012 is $ 70.3 ; The balance at january 1 of 2011 is $ 68.1 ; The balance at january 1 of 2010 is $ 2014 ;"}, "program_re": "divide(subtract(70.3, 68.1), 68.1)", "model_input": [["table_1", "( in millions ) the balance at january 1 of 2012 is $ 70.3 ; the balance at january 1 of 2011 is $ 68.1 ; the balance at january 1 of 2010 is $ 2014 ;"], ["table_5", "( in millions ) the total comprehensive income attributable to redeemable non-controlling interest of 2012 is 10.5 ; the total comprehensive income attributable to redeemable non-controlling interest of 2011 is 2.1 ; the total comprehensive income attributable to redeemable non-controlling interest of 2010 is 0.6 ;"], ["table_6", "( in millions ) the balance at december 31 of 2012 is $ 80.8 ; the balance at december 31 of 2011 is $ 70.3 ; the balance at december 31 of 2010 is $ 68.1 ;"]]}, "answers": ["3.2%"]}, "rejected_source": {"id": "CME/2012/page_103.pdf-1", "qa": {"question": "what is the percentage change in the balance of non-controlling interests from 2011 to 2012?", "answer": "14.9%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "80.8", "arg2": "70.3", "res": "10.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "80.8", "res": "14.9%"}], "program": "subtract(80.8, 70.3), divide(#0, 80.8)", "gold_inds": {"table_6": "( in millions ) the balance at december 31 of 2012 is $ 80.8 ; the balance at december 31 of 2011 is $ 70.3 ; the balance at december 31 of 2010 is $ 68.1 ;"}, "exe_ans": 0.12995, "tfidftopn": {"text_26": "non- controlling interests that do not contain redemption features are presented in the statements of equity. .", "text_25": "redeemable non-controlling interest the following summarizes the changes in redeemable non-controlling interest for the years presented ."}, "program_re": "divide(subtract(80.8, 70.3), 80.8)", "model_input": [["table_1", "( in millions ) the balance at january 1 of 2012 is $ 70.3 ; the balance at january 1 of 2011 is $ 68.1 ; the balance at january 1 of 2010 is $ 2014 ;"], ["table_5", "( in millions ) the total comprehensive income attributable to redeemable non-controlling interest of 2012 is 10.5 ; the total comprehensive income attributable to redeemable non-controlling interest of 2011 is 2.1 ; the total comprehensive income attributable to redeemable non-controlling interest of 2010 is 0.6 ;"], ["table_6", "( in millions ) the balance at december 31 of 2012 is $ 80.8 ; the balance at december 31 of 2011 is $ 70.3 ; the balance at december 31 of 2010 is $ 68.1 ;"]]}, "answers": ["14.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000603", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the change in liability balance during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-216.", "rejected": "38.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what is the change in liability balance <TIME>?", "doc_prefix": "PM", "base_question": "what is the change in liability balance <TIME>?", "original_question": "what is the change in liability balance during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "-216": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "PM/2015/page_103.pdf-1", "qa": {"question": "what is the change in liability balance during 2015?", "answer": "-216", "explanation": "", "ann_table_rows": [4, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "54", "arg2": "270", "res": "-216"}], "program": "subtract(54, 270)", "gold_inds": {"table_4": "liability balance january 1 2014 the liability balance december 31 2014 of $ 308 is $ 270 ;", "table_8": "liability balance january 1 2014 the liability balance december 31 2015 of $ 308 is $ 54 ;"}, "exe_ans": -216.0, "tfidftopn": {"table_5": "liability balance january 1 2014 The charges net of $ 308 is 68 ;"}, "program_re": "subtract(54, 270)", "model_input": [["table_4", "liability balance january 1 2014 the liability balance december 31 2014 of $ 308 is $ 270 ;"], ["table_5", "liability balance january 1 2014 the charges net of $ 308 is 68 ;"], ["table_8", "liability balance january 1 2014 the liability balance december 31 2015 of $ 308 is $ 54 ;"]]}, "answers": ["-216"]}, "rejected_source": {"id": "PM/2015/page_103.pdf-3", "qa": {"question": "what is the change in liability balance during 2014?", "answer": "38", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "270", "arg2": "308", "res": "38"}], "program": "subtract(270, 308)", "gold_inds": {"table_4": "liability balance january 1 2014 the liability balance december 31 2014 of $ 308 is $ 270 ;"}, "exe_ans": -38.0, "tfidftopn": {"table_8": "liability balance january 1 2014 The liability balance december 31 2015 of $ 308 is $ 54 ;", "table_5": "liability balance january 1 2014 The charges net of $ 308 is 68 ;"}, "program_re": "subtract(270, 308)", "model_input": [["table_0", "liability balance january 1 2014 the liability balance january 1 2014 of $ 308 is $ 308 ;"], ["table_4", "liability balance january 1 2014 the liability balance december 31 2014 of $ 308 is $ 270 ;"], ["table_8", "liability balance january 1 2014 the liability balance december 31 2015 of $ 308 is $ 54 ;"]]}, "answers": ["38"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000604", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the change in liability balance during 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "38.", "rejected": "-216.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what is the change in liability balance <TIME>?", "doc_prefix": "PM", "base_question": "what is the change in liability balance <TIME>?", "original_question": "what is the change in liability balance during 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "-216": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "PM/2015/page_103.pdf-3", "qa": {"question": "what is the change in liability balance during 2014?", "answer": "38", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "270", "arg2": "308", "res": "38"}], "program": "subtract(270, 308)", "gold_inds": {"table_4": "liability balance january 1 2014 the liability balance december 31 2014 of $ 308 is $ 270 ;"}, "exe_ans": -38.0, "tfidftopn": {"table_8": "liability balance january 1 2014 The liability balance december 31 2015 of $ 308 is $ 54 ;", "table_5": "liability balance january 1 2014 The charges net of $ 308 is 68 ;"}, "program_re": "subtract(270, 308)", "model_input": [["table_0", "liability balance january 1 2014 the liability balance january 1 2014 of $ 308 is $ 308 ;"], ["table_4", "liability balance january 1 2014 the liability balance december 31 2014 of $ 308 is $ 270 ;"], ["table_8", "liability balance january 1 2014 the liability balance december 31 2015 of $ 308 is $ 54 ;"]]}, "answers": ["38"]}, "rejected_source": {"id": "PM/2015/page_103.pdf-1", "qa": {"question": "what is the change in liability balance during 2015?", "answer": "-216", "explanation": "", "ann_table_rows": [4, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "54", "arg2": "270", "res": "-216"}], "program": "subtract(54, 270)", "gold_inds": {"table_4": "liability balance january 1 2014 the liability balance december 31 2014 of $ 308 is $ 270 ;", "table_8": "liability balance january 1 2014 the liability balance december 31 2015 of $ 308 is $ 54 ;"}, "exe_ans": -216.0, "tfidftopn": {"table_5": "liability balance january 1 2014 The charges net of $ 308 is 68 ;"}, "program_re": "subtract(54, 270)", "model_input": [["table_4", "liability balance january 1 2014 the liability balance december 31 2014 of $ 308 is $ 270 ;"], ["table_5", "liability balance january 1 2014 the charges net of $ 308 is 68 ;"], ["table_8", "liability balance january 1 2014 the liability balance december 31 2015 of $ 308 is $ 54 ;"]]}, "answers": ["-216"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000605", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2013 and 2012 in millions?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "118.", "rejected": "179.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PNC || what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested <TIME> and <TIME> in millions?", "doc_prefix": "PNC", "base_question": "what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested <TIME> and <TIME> in millions?", "original_question": "what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2013 and 2012 in millions?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"118": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "179": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "PNC/2013/page_205.pdf-1", "qa": {"question": "what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2013 and 2012 in millions?", "answer": "118", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "add1-1", "arg1": "63", "arg2": "55", "res": "118"}], "program": "add(63, 55)", "gold_inds": {"text_9": "during 2013 , we issued approximately 2.6 million shares from treasury stock in connection with stock option exercise activity .", "text_25": "the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2013 , 2012 and 2011 was approximately $ 63 million , $ 55 million and $ 52 million , respectively ."}, "exe_ans": 118.0, "tfidftopn": {"text_14": "incentive/performance unit share awards and restricted stock/share unit awards the fair value of nonvested incentive/performance unit share awards and restricted stock/share unit awards is initially determined based on prices not less than the market value of our common stock on the date of grant ."}, "program_re": "add(63, 55)", "model_input": [["text_9", "during 2013 , we issued approximately 2.6 million shares from treasury stock in connection with stock option exercise activity ."], ["text_25", "the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2013 , 2012 and 2011 was approximately $ 63 million , $ 55 million and $ 52 million , respectively ."], ["table_4", "shares in thousands december 31 2012 the december 31 2013 of nonvested incentive/ performance unit shares 1119 is 1647 ; the december 31 2013 of weighted- average grant date fair value $ 61.14 is $ 63.49 ; the december 31 2013 of nonvested restricted stock/ share units 3061 is 3483 ; the december 31 2013 of weighted- average grant date fair value $ 60.04 is $ 62.70 ;"]]}, "answers": ["118"]}, "rejected_source": {"id": "PNC/2014/page_203.pdf-3", "qa": {"question": "what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2014 and 2013 in millions?", "answer": "179", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "add1-1", "arg1": "119", "arg2": "63", "res": "179"}], "program": "add(119, 63)", "gold_inds": {"text_9": "as with past exercise activity , we currently intend to utilize primarily treasury stock for any future stock option exercises .", "text_22": "the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2014 , 2013 and 2012 was approximately $ 119 million , $ 63 million and $ 55 million , respectively ."}, "exe_ans": 182.0, "tfidftopn": {"text_13": "incentive/performance unit share awards and restricted stock/share unit awards the fair value of nonvested incentive/performance unit share awards and restricted stock/share unit awards is initially determined based on prices not less than the market value of our common stock on the date of grant ."}, "program_re": "add(119, 63)", "model_input": [["text_9", "as with past exercise activity , we currently intend to utilize primarily treasury stock for any future stock option exercises ."], ["text_22", "the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2014 , 2013 and 2012 was approximately $ 119 million , $ 63 million and $ 55 million , respectively ."], ["table_4", "shares in thousands december 31 2013 the december 31 2014 of nonvested incentive/ performance unit shares 1647 is 1837 ; the december 31 2014 of weighted-averagegrant datefair value $ 63.49 is $ 69.84 ; the december 31 2014 of nonvested restricted stock/ share units 3483 is 3652 ; the december 31 2014 of weighted-averagegrant datefair value $ 62.70 is $ 69.03 ;"]]}, "answers": ["179"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000606", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2014 and 2013 in millions?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "179.", "rejected": "118.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PNC || what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested <TIME> and <TIME> in millions?", "doc_prefix": "PNC", "base_question": "what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested <TIME> and <TIME> in millions?", "original_question": "what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2014 and 2013 in millions?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"118": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "179": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "PNC/2014/page_203.pdf-3", "qa": {"question": "what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2014 and 2013 in millions?", "answer": "179", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "add1-1", "arg1": "119", "arg2": "63", "res": "179"}], "program": "add(119, 63)", "gold_inds": {"text_9": "as with past exercise activity , we currently intend to utilize primarily treasury stock for any future stock option exercises .", "text_22": "the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2014 , 2013 and 2012 was approximately $ 119 million , $ 63 million and $ 55 million , respectively ."}, "exe_ans": 182.0, "tfidftopn": {"text_13": "incentive/performance unit share awards and restricted stock/share unit awards the fair value of nonvested incentive/performance unit share awards and restricted stock/share unit awards is initially determined based on prices not less than the market value of our common stock on the date of grant ."}, "program_re": "add(119, 63)", "model_input": [["text_9", "as with past exercise activity , we currently intend to utilize primarily treasury stock for any future stock option exercises ."], ["text_22", "the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2014 , 2013 and 2012 was approximately $ 119 million , $ 63 million and $ 55 million , respectively ."], ["table_4", "shares in thousands december 31 2013 the december 31 2014 of nonvested incentive/ performance unit shares 1647 is 1837 ; the december 31 2014 of weighted-averagegrant datefair value $ 63.49 is $ 69.84 ; the december 31 2014 of nonvested restricted stock/ share units 3483 is 3652 ; the december 31 2014 of weighted-averagegrant datefair value $ 62.70 is $ 69.03 ;"]]}, "answers": ["179"]}, "rejected_source": {"id": "PNC/2013/page_205.pdf-1", "qa": {"question": "what was the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2013 and 2012 in millions?", "answer": "118", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "add1-1", "arg1": "63", "arg2": "55", "res": "118"}], "program": "add(63, 55)", "gold_inds": {"text_9": "during 2013 , we issued approximately 2.6 million shares from treasury stock in connection with stock option exercise activity .", "text_25": "the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2013 , 2012 and 2011 was approximately $ 63 million , $ 55 million and $ 52 million , respectively ."}, "exe_ans": 118.0, "tfidftopn": {"text_14": "incentive/performance unit share awards and restricted stock/share unit awards the fair value of nonvested incentive/performance unit share awards and restricted stock/share unit awards is initially determined based on prices not less than the market value of our common stock on the date of grant ."}, "program_re": "add(63, 55)", "model_input": [["text_9", "during 2013 , we issued approximately 2.6 million shares from treasury stock in connection with stock option exercise activity ."], ["text_25", "the total fair value of incentive/performance unit share and restricted stock/unit awards vested during 2013 , 2012 and 2011 was approximately $ 63 million , $ 55 million and $ 52 million , respectively ."], ["table_4", "shares in thousands december 31 2012 the december 31 2013 of nonvested incentive/ performance unit shares 1119 is 1647 ; the december 31 2013 of weighted- average grant date fair value $ 61.14 is $ 63.49 ; the december 31 2013 of nonvested restricted stock/ share units 3061 is 3483 ; the december 31 2013 of weighted- average grant date fair value $ 60.04 is $ 62.70 ;"]]}, "answers": ["118"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000607", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total operating expenses between 2016 and 2018?\nReference time interval: 2016-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-55%.", "rejected": "-72%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what was the percentage change in total operating expenses <TIME>?", "doc_prefix": "C", "base_question": "what was the percentage change in total operating expenses <TIME>?", "original_question": "what was the percentage change in total operating expenses between 2016 and 2018?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2016 and 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-72%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "178%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}], "-55%": [{"start": "2016-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2016 and 2018"}]}, "chosen_source": {"id": "C/2018/page_53.pdf-2", "qa": {"question": "what was the percentage change in total operating expenses between 2016 and 2018?", "answer": "-55%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2272", "arg2": "5042", "res": "-2770"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5042", "res": "-55%"}], "program": "subtract(2272, 5042), divide(#0, 5042)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2018 is $ 2272 ; the total operating expenses of 2017 is $ 3814 ; the total operating expenses of 2016 is $ 5042 ; the total operating expenses of % ( % ) change2018 vs . 2017 is ( 40 ) % ( % ) ; the total operating expenses of % ( % ) change2017 vs . 2016 is ( 24 ) % ( % ) ;"}, "exe_ans": -0.54939, "tfidftopn": {"text_2": "in millions of dollars 2018 2017 2016 % (  % ) change 2018 vs .", "text_3": "2017 % (  % ) change 2017 vs ."}, "program_re": "divide(subtract(2272, 5042), 5042)", "model_input": [["table_4", "in millions of dollars the total operating expenses of 2018 is $ 2272 ; the total operating expenses of 2017 is $ 3814 ; the total operating expenses of 2016 is $ 5042 ; the total operating expenses of % ( % ) change2018 vs . 2017 is ( 40 ) % ( % ) ; the total operating expenses of % ( % ) change2017 vs . 2016 is ( 24 ) % ( % ) ;"], ["text_10", "subsidiaries ."], ["text_14", "provisions decreased $ 27 million to a net benefit of $ 202 million , primarily due to lower net credit losses , partially offset by a lower net loan loss reserve release ."]]}, "answers": ["-55%"]}, "rejected_source": {"id": "C/2009/page_48.pdf-2", "qa": {"question": "what was the percentage change in total operating expenses between 2007 and 2008?", "answer": "-72%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "510", "arg2": "1813", "res": "-1303"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1813", "res": "-72%"}], "program": "subtract(510, 1813), divide(#0, 1813)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"}, "exe_ans": -0.7187, "tfidftopn": {"table_3": "in millions of dollars The total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; The total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; The total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;", "text_10": "operating expenses declined , primarily due to lower restructuring charges in 2008 as well as reductions in incentive compensation and benefits expense. ."}, "program_re": "divide(subtract(510, 1813), 1813)", "model_input": [["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; the total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; the total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;"], ["table_4", "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"], ["text_9", "2007 revenues , net of interest expense increased primarily due to the gain in 2007 on the sale of certain corporate-owned assets and higher intersegment eliminations , partially offset by improved treasury hedging activities ."]]}, "answers": ["-72%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000608", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total operating expenses between 2016 and 2018?\nReference time interval: 2016-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-55%.", "rejected": "178%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what was the percentage change in total operating expenses <TIME>?", "doc_prefix": "C", "base_question": "what was the percentage change in total operating expenses <TIME>?", "original_question": "what was the percentage change in total operating expenses between 2016 and 2018?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2016 and 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-72%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "178%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}], "-55%": [{"start": "2016-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2016 and 2018"}]}, "chosen_source": {"id": "C/2018/page_53.pdf-2", "qa": {"question": "what was the percentage change in total operating expenses between 2016 and 2018?", "answer": "-55%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2272", "arg2": "5042", "res": "-2770"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5042", "res": "-55%"}], "program": "subtract(2272, 5042), divide(#0, 5042)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2018 is $ 2272 ; the total operating expenses of 2017 is $ 3814 ; the total operating expenses of 2016 is $ 5042 ; the total operating expenses of % ( % ) change2018 vs . 2017 is ( 40 ) % ( % ) ; the total operating expenses of % ( % ) change2017 vs . 2016 is ( 24 ) % ( % ) ;"}, "exe_ans": -0.54939, "tfidftopn": {"text_2": "in millions of dollars 2018 2017 2016 % (  % ) change 2018 vs .", "text_3": "2017 % (  % ) change 2017 vs ."}, "program_re": "divide(subtract(2272, 5042), 5042)", "model_input": [["table_4", "in millions of dollars the total operating expenses of 2018 is $ 2272 ; the total operating expenses of 2017 is $ 3814 ; the total operating expenses of 2016 is $ 5042 ; the total operating expenses of % ( % ) change2018 vs . 2017 is ( 40 ) % ( % ) ; the total operating expenses of % ( % ) change2017 vs . 2016 is ( 24 ) % ( % ) ;"], ["text_10", "subsidiaries ."], ["text_14", "provisions decreased $ 27 million to a net benefit of $ 202 million , primarily due to lower net credit losses , partially offset by a lower net loan loss reserve release ."]]}, "answers": ["-55%"]}, "rejected_source": {"id": "C/2009/page_48.pdf-1", "qa": {"question": "what was the percentage change in total operating expenses between 2008 and 2009?", "answer": "178%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1420", "arg2": "510", "res": "910"}, {"op": "divide1-2", "arg1": "#0", "arg2": "510", "res": "178%"}], "program": "subtract(1420, 510), divide(#0, 510)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"}, "exe_ans": 1.78431, "tfidftopn": {"table_3": "in millions of dollars The total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; The total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; The total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;", "text_10": "operating expenses declined , primarily due to lower restructuring charges in 2008 as well as reductions in incentive compensation and benefits expense. ."}, "program_re": "divide(subtract(1420, 510), 510)", "model_input": [["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; the total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; the total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;"], ["table_4", "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"], ["text_9", "2007 revenues , net of interest expense increased primarily due to the gain in 2007 on the sale of certain corporate-owned assets and higher intersegment eliminations , partially offset by improved treasury hedging activities ."]]}, "answers": ["178%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000609", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total operating expenses between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-72%.", "rejected": "-55%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what was the percentage change in total operating expenses <TIME>?", "doc_prefix": "C", "base_question": "what was the percentage change in total operating expenses <TIME>?", "original_question": "what was the percentage change in total operating expenses between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-72%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "178%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}], "-55%": [{"start": "2016-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2016 and 2018"}]}, "chosen_source": {"id": "C/2009/page_48.pdf-2", "qa": {"question": "what was the percentage change in total operating expenses between 2007 and 2008?", "answer": "-72%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "510", "arg2": "1813", "res": "-1303"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1813", "res": "-72%"}], "program": "subtract(510, 1813), divide(#0, 1813)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"}, "exe_ans": -0.7187, "tfidftopn": {"table_3": "in millions of dollars The total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; The total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; The total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;", "text_10": "operating expenses declined , primarily due to lower restructuring charges in 2008 as well as reductions in incentive compensation and benefits expense. ."}, "program_re": "divide(subtract(510, 1813), 1813)", "model_input": [["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; the total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; the total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;"], ["table_4", "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"], ["text_9", "2007 revenues , net of interest expense increased primarily due to the gain in 2007 on the sale of certain corporate-owned assets and higher intersegment eliminations , partially offset by improved treasury hedging activities ."]]}, "answers": ["-72%"]}, "rejected_source": {"id": "C/2018/page_53.pdf-2", "qa": {"question": "what was the percentage change in total operating expenses between 2016 and 2018?", "answer": "-55%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2272", "arg2": "5042", "res": "-2770"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5042", "res": "-55%"}], "program": "subtract(2272, 5042), divide(#0, 5042)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2018 is $ 2272 ; the total operating expenses of 2017 is $ 3814 ; the total operating expenses of 2016 is $ 5042 ; the total operating expenses of % ( % ) change2018 vs . 2017 is ( 40 ) % ( % ) ; the total operating expenses of % ( % ) change2017 vs . 2016 is ( 24 ) % ( % ) ;"}, "exe_ans": -0.54939, "tfidftopn": {"text_2": "in millions of dollars 2018 2017 2016 % (  % ) change 2018 vs .", "text_3": "2017 % (  % ) change 2017 vs ."}, "program_re": "divide(subtract(2272, 5042), 5042)", "model_input": [["table_4", "in millions of dollars the total operating expenses of 2018 is $ 2272 ; the total operating expenses of 2017 is $ 3814 ; the total operating expenses of 2016 is $ 5042 ; the total operating expenses of % ( % ) change2018 vs . 2017 is ( 40 ) % ( % ) ; the total operating expenses of % ( % ) change2017 vs . 2016 is ( 24 ) % ( % ) ;"], ["text_10", "subsidiaries ."], ["text_14", "provisions decreased $ 27 million to a net benefit of $ 202 million , primarily due to lower net credit losses , partially offset by a lower net loan loss reserve release ."]]}, "answers": ["-55%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000610", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total operating expenses between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-72%.", "rejected": "178%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what was the percentage change in total operating expenses <TIME>?", "doc_prefix": "C", "base_question": "what was the percentage change in total operating expenses <TIME>?", "original_question": "what was the percentage change in total operating expenses between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-72%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "178%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}], "-55%": [{"start": "2016-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2016 and 2018"}]}, "chosen_source": {"id": "C/2009/page_48.pdf-2", "qa": {"question": "what was the percentage change in total operating expenses between 2007 and 2008?", "answer": "-72%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "510", "arg2": "1813", "res": "-1303"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1813", "res": "-72%"}], "program": "subtract(510, 1813), divide(#0, 1813)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"}, "exe_ans": -0.7187, "tfidftopn": {"table_3": "in millions of dollars The total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; The total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; The total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;", "text_10": "operating expenses declined , primarily due to lower restructuring charges in 2008 as well as reductions in incentive compensation and benefits expense. ."}, "program_re": "divide(subtract(510, 1813), 1813)", "model_input": [["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; the total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; the total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;"], ["table_4", "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"], ["text_9", "2007 revenues , net of interest expense increased primarily due to the gain in 2007 on the sale of certain corporate-owned assets and higher intersegment eliminations , partially offset by improved treasury hedging activities ."]]}, "answers": ["-72%"]}, "rejected_source": {"id": "C/2009/page_48.pdf-1", "qa": {"question": "what was the percentage change in total operating expenses between 2008 and 2009?", "answer": "178%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1420", "arg2": "510", "res": "910"}, {"op": "divide1-2", "arg1": "#0", "arg2": "510", "res": "178%"}], "program": "subtract(1420, 510), divide(#0, 510)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"}, "exe_ans": 1.78431, "tfidftopn": {"table_3": "in millions of dollars The total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; The total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; The total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;", "text_10": "operating expenses declined , primarily due to lower restructuring charges in 2008 as well as reductions in incentive compensation and benefits expense. ."}, "program_re": "divide(subtract(1420, 510), 510)", "model_input": [["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; the total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; the total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;"], ["table_4", "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"], ["text_9", "2007 revenues , net of interest expense increased primarily due to the gain in 2007 on the sale of certain corporate-owned assets and higher intersegment eliminations , partially offset by improved treasury hedging activities ."]]}, "answers": ["178%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000611", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total operating expenses between 2008 and 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "178%.", "rejected": "-55%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what was the percentage change in total operating expenses <TIME>?", "doc_prefix": "C", "base_question": "what was the percentage change in total operating expenses <TIME>?", "original_question": "what was the percentage change in total operating expenses between 2008 and 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-72%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "178%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}], "-55%": [{"start": "2016-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2016 and 2018"}]}, "chosen_source": {"id": "C/2009/page_48.pdf-1", "qa": {"question": "what was the percentage change in total operating expenses between 2008 and 2009?", "answer": "178%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1420", "arg2": "510", "res": "910"}, {"op": "divide1-2", "arg1": "#0", "arg2": "510", "res": "178%"}], "program": "subtract(1420, 510), divide(#0, 510)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"}, "exe_ans": 1.78431, "tfidftopn": {"table_3": "in millions of dollars The total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; The total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; The total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;", "text_10": "operating expenses declined , primarily due to lower restructuring charges in 2008 as well as reductions in incentive compensation and benefits expense. ."}, "program_re": "divide(subtract(1420, 510), 510)", "model_input": [["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; the total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; the total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;"], ["table_4", "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"], ["text_9", "2007 revenues , net of interest expense increased primarily due to the gain in 2007 on the sale of certain corporate-owned assets and higher intersegment eliminations , partially offset by improved treasury hedging activities ."]]}, "answers": ["178%"]}, "rejected_source": {"id": "C/2018/page_53.pdf-2", "qa": {"question": "what was the percentage change in total operating expenses between 2016 and 2018?", "answer": "-55%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2272", "arg2": "5042", "res": "-2770"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5042", "res": "-55%"}], "program": "subtract(2272, 5042), divide(#0, 5042)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2018 is $ 2272 ; the total operating expenses of 2017 is $ 3814 ; the total operating expenses of 2016 is $ 5042 ; the total operating expenses of % ( % ) change2018 vs . 2017 is ( 40 ) % ( % ) ; the total operating expenses of % ( % ) change2017 vs . 2016 is ( 24 ) % ( % ) ;"}, "exe_ans": -0.54939, "tfidftopn": {"text_2": "in millions of dollars 2018 2017 2016 % (  % ) change 2018 vs .", "text_3": "2017 % (  % ) change 2017 vs ."}, "program_re": "divide(subtract(2272, 5042), 5042)", "model_input": [["table_4", "in millions of dollars the total operating expenses of 2018 is $ 2272 ; the total operating expenses of 2017 is $ 3814 ; the total operating expenses of 2016 is $ 5042 ; the total operating expenses of % ( % ) change2018 vs . 2017 is ( 40 ) % ( % ) ; the total operating expenses of % ( % ) change2017 vs . 2016 is ( 24 ) % ( % ) ;"], ["text_10", "subsidiaries ."], ["text_14", "provisions decreased $ 27 million to a net benefit of $ 202 million , primarily due to lower net credit losses , partially offset by a lower net loan loss reserve release ."]]}, "answers": ["-55%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000612", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total operating expenses between 2008 and 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "178%.", "rejected": "-72%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what was the percentage change in total operating expenses <TIME>?", "doc_prefix": "C", "base_question": "what was the percentage change in total operating expenses <TIME>?", "original_question": "what was the percentage change in total operating expenses between 2008 and 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-72%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "178%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}], "-55%": [{"start": "2016-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2016 and 2018"}]}, "chosen_source": {"id": "C/2009/page_48.pdf-1", "qa": {"question": "what was the percentage change in total operating expenses between 2008 and 2009?", "answer": "178%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1420", "arg2": "510", "res": "910"}, {"op": "divide1-2", "arg1": "#0", "arg2": "510", "res": "178%"}], "program": "subtract(1420, 510), divide(#0, 510)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"}, "exe_ans": 1.78431, "tfidftopn": {"table_3": "in millions of dollars The total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; The total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; The total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;", "text_10": "operating expenses declined , primarily due to lower restructuring charges in 2008 as well as reductions in incentive compensation and benefits expense. ."}, "program_re": "divide(subtract(1420, 510), 510)", "model_input": [["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; the total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; the total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;"], ["table_4", "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"], ["text_9", "2007 revenues , net of interest expense increased primarily due to the gain in 2007 on the sale of certain corporate-owned assets and higher intersegment eliminations , partially offset by improved treasury hedging activities ."]]}, "answers": ["178%"]}, "rejected_source": {"id": "C/2009/page_48.pdf-2", "qa": {"question": "what was the percentage change in total operating expenses between 2007 and 2008?", "answer": "-72%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "510", "arg2": "1813", "res": "-1303"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1813", "res": "-72%"}], "program": "subtract(510, 1813), divide(#0, 1813)", "gold_inds": {"table_4": "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"}, "exe_ans": -0.7187, "tfidftopn": {"table_3": "in millions of dollars The total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; The total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; The total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;", "text_10": "operating expenses declined , primarily due to lower restructuring charges in 2008 as well as reductions in incentive compensation and benefits expense. ."}, "program_re": "divide(subtract(510, 1813), 1813)", "model_input": [["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ -10556 ( 10556 ) ; the total revenues net of interest expense of 2008 is $ -2258 ( 2258 ) ; the total revenues net of interest expense of 2007 is $ -2310 ( 2310 ) ;"], ["table_4", "in millions of dollars the total operating expenses of 2009 is $ 1420 ; the total operating expenses of 2008 is $ 510 ; the total operating expenses of 2007 is $ 1813 ;"], ["text_9", "2007 revenues , net of interest expense increased primarily due to the gain in 2007 on the sale of certain corporate-owned assets and higher intersegment eliminations , partially offset by improved treasury hedging activities ."]]}, "answers": ["-72%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000613", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net revenues investing & lending segment were attributable to equity securities in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "48%.", "rejected": "56%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total net revenues investing & lending segment were attributable to equity securities <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of total net revenues investing & lending segment were attributable to equity securities <TIME>?", "original_question": "what percentage of total net revenues investing & lending segment were attributable to equity securities in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"48%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "56%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "GS/2013/page_54.pdf-4", "qa": {"question": "what percentage of total net revenues investing & lending segment were attributable to equity securities in 2012?", "answer": "48%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "2800", "arg2": "5891", "res": "48%"}], "program": "divide(2800, 5891)", "gold_inds": {"table_1": "in millions the equity securities of year ended december 2013 is $ 3930 ; the equity securities of year ended december 2012 is $ 2800 ; the equity securities of year ended december 2011 is $ 603 ;", "table_4": "in millions the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ;"}, "exe_ans": 0.4753, "tfidftopn": {"text_19": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(2800, 5891)", "model_input": [["text_19", "the table below presents the operating results of our investing & lending segment. ."], ["table_1", "in millions the equity securities of year ended december 2013 is $ 3930 ; the equity securities of year ended december 2012 is $ 2800 ; the equity securities of year ended december 2011 is $ 603 ;"], ["table_4", "in millions the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ;"]]}, "answers": ["48%"]}, "rejected_source": {"id": "GS/2013/page_54.pdf-1", "qa": {"question": "what percentage of total net revenues investing & lending segment were attributable to equity securities in 2013?", "answer": "56%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3930", "arg2": "7018", "res": "56%"}], "program": "divide(3930, 7018)", "gold_inds": {"table_1": "in millions the equity securities of year ended december 2013 is $ 3930 ; the equity securities of year ended december 2012 is $ 2800 ; the equity securities of year ended december 2011 is $ 603 ;", "table_4": "in millions the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ;"}, "exe_ans": 0.55999, "tfidftopn": {"text_19": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(3930, 7018)", "model_input": [["text_19", "the table below presents the operating results of our investing & lending segment. ."], ["table_1", "in millions the equity securities of year ended december 2013 is $ 3930 ; the equity securities of year ended december 2012 is $ 2800 ; the equity securities of year ended december 2011 is $ 603 ;"], ["table_4", "in millions the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ;"]]}, "answers": ["56%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000614", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net revenues investing & lending segment were attributable to equity securities in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "56%.", "rejected": "48%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total net revenues investing & lending segment were attributable to equity securities <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of total net revenues investing & lending segment were attributable to equity securities <TIME>?", "original_question": "what percentage of total net revenues investing & lending segment were attributable to equity securities in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"48%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "56%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "GS/2013/page_54.pdf-1", "qa": {"question": "what percentage of total net revenues investing & lending segment were attributable to equity securities in 2013?", "answer": "56%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3930", "arg2": "7018", "res": "56%"}], "program": "divide(3930, 7018)", "gold_inds": {"table_1": "in millions the equity securities of year ended december 2013 is $ 3930 ; the equity securities of year ended december 2012 is $ 2800 ; the equity securities of year ended december 2011 is $ 603 ;", "table_4": "in millions the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ;"}, "exe_ans": 0.55999, "tfidftopn": {"text_19": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(3930, 7018)", "model_input": [["text_19", "the table below presents the operating results of our investing & lending segment. ."], ["table_1", "in millions the equity securities of year ended december 2013 is $ 3930 ; the equity securities of year ended december 2012 is $ 2800 ; the equity securities of year ended december 2011 is $ 603 ;"], ["table_4", "in millions the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ;"]]}, "answers": ["56%"]}, "rejected_source": {"id": "GS/2013/page_54.pdf-4", "qa": {"question": "what percentage of total net revenues investing & lending segment were attributable to equity securities in 2012?", "answer": "48%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "2800", "arg2": "5891", "res": "48%"}], "program": "divide(2800, 5891)", "gold_inds": {"table_1": "in millions the equity securities of year ended december 2013 is $ 3930 ; the equity securities of year ended december 2012 is $ 2800 ; the equity securities of year ended december 2011 is $ 603 ;", "table_4": "in millions the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ;"}, "exe_ans": 0.4753, "tfidftopn": {"text_19": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(2800, 5891)", "model_input": [["text_19", "the table below presents the operating results of our investing & lending segment. ."], ["table_1", "in millions the equity securities of year ended december 2013 is $ 3930 ; the equity securities of year ended december 2012 is $ 2800 ; the equity securities of year ended december 2011 is $ 603 ;"], ["table_4", "in millions the total net revenues of year ended december 2013 is 7018 ; the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ;"]]}, "answers": ["48%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000615", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the natural gas prices as a percentage of wti oil prices in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "5.82%.", "rejected": "5.89%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BKR || what are the natural gas prices as a percentage of wti oil prices <TIME>?", "doc_prefix": "BKR", "base_question": "what are the natural gas prices as a percentage of wti oil prices <TIME>?", "original_question": "what are the natural gas prices as a percentage of wti oil prices in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.82%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "5.89%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "BKR/2017/page_47.pdf-2", "qa": {"question": "what are the natural gas prices as a percentage of wti oil prices in 2016?", "answer": "5.82%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [21], "steps": [{"op": "divide2-1", "arg1": "2.52", "arg2": "43.29", "res": "5.82%"}], "program": "divide(2.52, 43.29)", "gold_inds": {"table_2": "the wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2015 is 48.66 ;", "table_3": "the natural gas prices ( $ /mmbtu ) ( 3 ) of 2017 is 2.99 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2016 is 2.52 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2015 is 2.62 ;", "text_21": "oil and natural gas prices oil and natural gas prices are summarized in the table below as averages of the daily closing prices during each of the periods indicated. ."}, "exe_ans": 0.05821, "tfidftopn": {}, "program_re": "divide(2.52, 43.29)", "model_input": [["text_21", "oil and natural gas prices oil and natural gas prices are summarized in the table below as averages of the daily closing prices during each of the periods indicated. ."], ["table_2", "the wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2015 is 48.66 ;"], ["table_3", "the natural gas prices ( $ /mmbtu ) ( 3 ) of 2017 is 2.99 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2016 is 2.52 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2015 is 2.62 ;"]]}, "answers": ["5.82%"]}, "rejected_source": {"id": "BKR/2017/page_47.pdf-1", "qa": {"question": "what are the natural gas prices as a percentage of wti oil prices in 2017?", "answer": "5.89%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [21], "steps": [{"op": "divide1-1", "arg1": "2.99", "arg2": "50.80", "res": "5.89%"}], "program": "divide(2.99, 50.80)", "gold_inds": {"table_2": "the wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2015 is 48.66 ;", "table_3": "the natural gas prices ( $ /mmbtu ) ( 3 ) of 2017 is 2.99 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2016 is 2.52 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2015 is 2.62 ;", "text_21": "oil and natural gas prices oil and natural gas prices are summarized in the table below as averages of the daily closing prices during each of the periods indicated. ."}, "exe_ans": 0.05886, "tfidftopn": {}, "program_re": "divide(2.99, 50.80)", "model_input": [["text_21", "oil and natural gas prices oil and natural gas prices are summarized in the table below as averages of the daily closing prices during each of the periods indicated. ."], ["table_2", "the wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2015 is 48.66 ;"], ["table_3", "the natural gas prices ( $ /mmbtu ) ( 3 ) of 2017 is 2.99 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2016 is 2.52 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2015 is 2.62 ;"]]}, "answers": ["5.89%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000616", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the natural gas prices as a percentage of wti oil prices in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "5.89%.", "rejected": "5.82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BKR || what are the natural gas prices as a percentage of wti oil prices <TIME>?", "doc_prefix": "BKR", "base_question": "what are the natural gas prices as a percentage of wti oil prices <TIME>?", "original_question": "what are the natural gas prices as a percentage of wti oil prices in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.82%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "5.89%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "BKR/2017/page_47.pdf-1", "qa": {"question": "what are the natural gas prices as a percentage of wti oil prices in 2017?", "answer": "5.89%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [21], "steps": [{"op": "divide1-1", "arg1": "2.99", "arg2": "50.80", "res": "5.89%"}], "program": "divide(2.99, 50.80)", "gold_inds": {"table_2": "the wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2015 is 48.66 ;", "table_3": "the natural gas prices ( $ /mmbtu ) ( 3 ) of 2017 is 2.99 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2016 is 2.52 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2015 is 2.62 ;", "text_21": "oil and natural gas prices oil and natural gas prices are summarized in the table below as averages of the daily closing prices during each of the periods indicated. ."}, "exe_ans": 0.05886, "tfidftopn": {}, "program_re": "divide(2.99, 50.80)", "model_input": [["text_21", "oil and natural gas prices oil and natural gas prices are summarized in the table below as averages of the daily closing prices during each of the periods indicated. ."], ["table_2", "the wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2015 is 48.66 ;"], ["table_3", "the natural gas prices ( $ /mmbtu ) ( 3 ) of 2017 is 2.99 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2016 is 2.52 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2015 is 2.62 ;"]]}, "answers": ["5.89%"]}, "rejected_source": {"id": "BKR/2017/page_47.pdf-2", "qa": {"question": "what are the natural gas prices as a percentage of wti oil prices in 2016?", "answer": "5.82%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [21], "steps": [{"op": "divide2-1", "arg1": "2.52", "arg2": "43.29", "res": "5.82%"}], "program": "divide(2.52, 43.29)", "gold_inds": {"table_2": "the wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2015 is 48.66 ;", "table_3": "the natural gas prices ( $ /mmbtu ) ( 3 ) of 2017 is 2.99 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2016 is 2.52 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2015 is 2.62 ;", "text_21": "oil and natural gas prices oil and natural gas prices are summarized in the table below as averages of the daily closing prices during each of the periods indicated. ."}, "exe_ans": 0.05821, "tfidftopn": {}, "program_re": "divide(2.52, 43.29)", "model_input": [["text_21", "oil and natural gas prices oil and natural gas prices are summarized in the table below as averages of the daily closing prices during each of the periods indicated. ."], ["table_2", "the wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ; the wti oil prices ( $ /bbl ) ( 2 ) of 2015 is 48.66 ;"], ["table_3", "the natural gas prices ( $ /mmbtu ) ( 3 ) of 2017 is 2.99 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2016 is 2.52 ; the natural gas prices ( $ /mmbtu ) ( 3 ) of 2015 is 2.62 ;"]]}, "answers": ["5.82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000617", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the increase observed in the interest net of capitalized interest during 2015 and 2016?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "13.5%.", "rejected": "9.235%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EOG || what is the increase observed in the interest net of capitalized interest <TIME> and <TIME>?", "doc_prefix": "EOG", "base_question": "what is the increase observed in the interest net of capitalized interest <TIME> and <TIME>?", "original_question": "what is the increase observed in the interest net of capitalized interest during 2015 and 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13.5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "9.235%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "EOG/2016/page_80.pdf-1", "qa": {"question": "what is the increase observed in the interest net of capitalized interest during 2015 and 2016?", "answer": "13.5%", "explanation": "it is the interest net of capitalized interest of 2016 divided by the 2015's , then subtracted 1 and turned into a percentage .", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "252030", "arg2": "222088", "res": "1.135"}, {"op": "minus1-2", "arg1": "#0", "arg2": "const_1", "res": "13.5%"}], "program": "divide(252030, 222088), subtract(#0, const_1)", "gold_inds": {"table_1": "the interest net of capitalized interest of 2016 is $ 252030 ; the interest net of capitalized interest of 2015 is $ 222088 ; the interest net of capitalized interest of 2014 is $ 197383 ;"}, "exe_ans": 0.13482, "tfidftopn": {"table_2": "The income taxes net of refunds received of 2016 is $ -39293 ( 39293 ) ; The income taxes net of refunds received of 2015 is $ 41108 ; The income taxes net of refunds received of 2014 is $ 342741 ;", "text_4": "supplemental cash flow information net cash paid for interest and income taxes was as follows for the years ended december 31 , 2016 , 2015 and 2014 ( in thousands ) : ."}, "program_re": "subtract(divide(252030, 222088), const_1)", "model_input": [["text_1", "shares underlying the excluded stock options and sars totaled 10.3 million , 10.2 million and 0.7 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_4", "supplemental cash flow information net cash paid for interest and income taxes was as follows for the years ended december 31 , 2016 , 2015 and 2014 ( in thousands ) : ."], ["table_1", "the interest net of capitalized interest of 2016 is $ 252030 ; the interest net of capitalized interest of 2015 is $ 222088 ; the interest net of capitalized interest of 2014 is $ 197383 ;"]]}, "answers": ["13.5%"]}, "rejected_source": {"id": "EOG/2017/page_85.pdf-1", "qa": {"question": "what is the increase observed in the interest net of capitalized interest during 2016 and 2017?", "answer": "9.235%", "explanation": "it is the cash paid as interest net of capitalized interest in 2017 divided by the 2016's , then turned into a percentage to represent the increase .", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "275305", "arg2": "252030", "res": "1.09235"}, {"op": "minus1-2", "arg1": "#0", "arg2": "const_1", "res": "9.235%"}], "program": "divide(275305, 252030), subtract(#0, const_1)", "gold_inds": {"table_1": "the interest net of capitalized interest of 2017 is $ 275305 ; the interest net of capitalized interest of 2016 is $ 252030 ; the interest net of capitalized interest of 2015 is $ 222088 ;"}, "exe_ans": 0.09235, "tfidftopn": {"table_2": "The income taxes net of refunds received of 2017 is $ 188946 ; The income taxes net of refunds received of 2016 is $ -39293 ( 39293 ) ; The income taxes net of refunds received of 2015 is $ 41108 ;", "text_4": "supplemental cash flow information net cash paid for interest and income taxes was as follows for the years ended december 31 , 2017 , 2016 and 2015 ( in thousands ) : ."}, "program_re": "subtract(divide(275305, 252030), const_1)", "model_input": [["text_1", "shares underlying the excluded stock options and sars totaled 2.6 million , 10.3 million and 10.2 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_4", "supplemental cash flow information net cash paid for interest and income taxes was as follows for the years ended december 31 , 2017 , 2016 and 2015 ( in thousands ) : ."], ["table_1", "the interest net of capitalized interest of 2017 is $ 275305 ; the interest net of capitalized interest of 2016 is $ 252030 ; the interest net of capitalized interest of 2015 is $ 222088 ;"]]}, "answers": ["9.235%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000618", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the increase observed in the interest net of capitalized interest during 2016 and 2017?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "9.235%.", "rejected": "13.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EOG || what is the increase observed in the interest net of capitalized interest <TIME> and <TIME>?", "doc_prefix": "EOG", "base_question": "what is the increase observed in the interest net of capitalized interest <TIME> and <TIME>?", "original_question": "what is the increase observed in the interest net of capitalized interest during 2016 and 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13.5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "9.235%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "EOG/2017/page_85.pdf-1", "qa": {"question": "what is the increase observed in the interest net of capitalized interest during 2016 and 2017?", "answer": "9.235%", "explanation": "it is the cash paid as interest net of capitalized interest in 2017 divided by the 2016's , then turned into a percentage to represent the increase .", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "275305", "arg2": "252030", "res": "1.09235"}, {"op": "minus1-2", "arg1": "#0", "arg2": "const_1", "res": "9.235%"}], "program": "divide(275305, 252030), subtract(#0, const_1)", "gold_inds": {"table_1": "the interest net of capitalized interest of 2017 is $ 275305 ; the interest net of capitalized interest of 2016 is $ 252030 ; the interest net of capitalized interest of 2015 is $ 222088 ;"}, "exe_ans": 0.09235, "tfidftopn": {"table_2": "The income taxes net of refunds received of 2017 is $ 188946 ; The income taxes net of refunds received of 2016 is $ -39293 ( 39293 ) ; The income taxes net of refunds received of 2015 is $ 41108 ;", "text_4": "supplemental cash flow information net cash paid for interest and income taxes was as follows for the years ended december 31 , 2017 , 2016 and 2015 ( in thousands ) : ."}, "program_re": "subtract(divide(275305, 252030), const_1)", "model_input": [["text_1", "shares underlying the excluded stock options and sars totaled 2.6 million , 10.3 million and 10.2 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_4", "supplemental cash flow information net cash paid for interest and income taxes was as follows for the years ended december 31 , 2017 , 2016 and 2015 ( in thousands ) : ."], ["table_1", "the interest net of capitalized interest of 2017 is $ 275305 ; the interest net of capitalized interest of 2016 is $ 252030 ; the interest net of capitalized interest of 2015 is $ 222088 ;"]]}, "answers": ["9.235%"]}, "rejected_source": {"id": "EOG/2016/page_80.pdf-1", "qa": {"question": "what is the increase observed in the interest net of capitalized interest during 2015 and 2016?", "answer": "13.5%", "explanation": "it is the interest net of capitalized interest of 2016 divided by the 2015's , then subtracted 1 and turned into a percentage .", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "252030", "arg2": "222088", "res": "1.135"}, {"op": "minus1-2", "arg1": "#0", "arg2": "const_1", "res": "13.5%"}], "program": "divide(252030, 222088), subtract(#0, const_1)", "gold_inds": {"table_1": "the interest net of capitalized interest of 2016 is $ 252030 ; the interest net of capitalized interest of 2015 is $ 222088 ; the interest net of capitalized interest of 2014 is $ 197383 ;"}, "exe_ans": 0.13482, "tfidftopn": {"table_2": "The income taxes net of refunds received of 2016 is $ -39293 ( 39293 ) ; The income taxes net of refunds received of 2015 is $ 41108 ; The income taxes net of refunds received of 2014 is $ 342741 ;", "text_4": "supplemental cash flow information net cash paid for interest and income taxes was as follows for the years ended december 31 , 2016 , 2015 and 2014 ( in thousands ) : ."}, "program_re": "subtract(divide(252030, 222088), const_1)", "model_input": [["text_1", "shares underlying the excluded stock options and sars totaled 10.3 million , 10.2 million and 0.7 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_4", "supplemental cash flow information net cash paid for interest and income taxes was as follows for the years ended december 31 , 2016 , 2015 and 2014 ( in thousands ) : ."], ["table_1", "the interest net of capitalized interest of 2016 is $ 252030 ; the interest net of capitalized interest of 2015 is $ 222088 ; the interest net of capitalized interest of 2014 is $ 197383 ;"]]}, "answers": ["13.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000619", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the number of employees from 2000 to 2001?\nReference time interval: 2000-01-01 00:00:00 to 2002-01-01 00:00:00", "chosen": "12.2%.", "rejected": "2.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what is the growth rate in the number of employees <TIME>?", "doc_prefix": "STT", "base_question": "what is the growth rate in the number of employees <TIME>?", "original_question": "what is the growth rate in the number of employees from 2000 to 2001?", "reference_time": {"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.3%": [{"start": "1999-01-01 00:00:00", "end": "2001-01-01 00:00:00", "normalized_text": "from 1999 to 2000"}], "12.2%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}]}, "chosen_source": {"id": "STT/2001/page_41.pdf-3", "qa": {"question": "what is the growth rate in the number of employees from 2000 to 2001?", "answer": "12.2%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "19753", "arg2": "17604", "res": "2149"}, {"op": "divide1-2", "arg1": "#0", "arg2": "17604", "res": "12.2%"}], "program": "subtract(19753, 17604), divide(#0, 17604)", "gold_inds": {"table_7": "( dollars in millions ) the number of employees of 2001 is 19753 ; the number of employees of 2000 is 17604 ; the number of employees of 1999 is 17213 ; the number of employees of change 00-01 is 12 ; the number of employees of adjusted change 00-01 ( 1 ) is ;"}, "exe_ans": 0.12207, "tfidftopn": {"text_3": "state street successfully reduced the growth rate of expenses as revenue growth slowed during the latter half of 2000 and early 2001 .", "text_2": "expense growth in 2001 of 10% ( 10 % ) is significantly lower than the comparable 20% ( 20 % ) expense growth for 2000 compared to 1999 ."}, "program_re": "divide(subtract(19753, 17604), 17604)", "model_input": [["text_2", "expense growth in 2001 of 10% ( 10 % ) is significantly lower than the comparable 20% ( 20 % ) expense growth for 2000 compared to 1999 ."], ["table_1", "( dollars in millions ) the salaries and employee benefits of 2001 is $ 1663 ; the salaries and employee benefits of 2000 is $ 1524 ; the salaries and employee benefits of 1999 is $ 1313 ; the salaries and employee benefits of change 00-01 is 9% ( 9 % ) ; the salaries and employee benefits of adjusted change 00-01 ( 1 ) is 11% ( 11 % ) ;"], ["table_7", "( dollars in millions ) the number of employees of 2001 is 19753 ; the number of employees of 2000 is 17604 ; the number of employees of 1999 is 17213 ; the number of employees of change 00-01 is 12 ; the number of employees of adjusted change 00-01 ( 1 ) is ;"]]}, "answers": ["12.2%"]}, "rejected_source": {"id": "STT/2001/page_41.pdf-4", "qa": {"question": "what is the growth rate in the number of employees from 1999 to 2000?", "answer": "2.3%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "17604", "arg2": "17213", "res": "391"}, {"op": "divide2-2", "arg1": "#0", "arg2": "17213", "res": "2.3%"}], "program": "subtract(17604, 17213), divide(#0, 17213)", "gold_inds": {"table_7": "( dollars in millions ) the number of employees of 2001 is 19753 ; the number of employees of 2000 is 17604 ; the number of employees of 1999 is 17213 ; the number of employees of change 00-01 is 12 ; the number of employees of adjusted change 00-01 ( 1 ) is ;"}, "exe_ans": 0.02272, "tfidftopn": {"text_3": "state street successfully reduced the growth rate of expenses as revenue growth slowed during the latter half of 2000 and early 2001 .", "text_2": "expense growth in 2001 of 10% ( 10 % ) is significantly lower than the comparable 20% ( 20 % ) expense growth for 2000 compared to 1999 ."}, "program_re": "divide(subtract(17604, 17213), 17213)", "model_input": [["table_1", "( dollars in millions ) the salaries and employee benefits of 2001 is $ 1663 ; the salaries and employee benefits of 2000 is $ 1524 ; the salaries and employee benefits of 1999 is $ 1313 ; the salaries and employee benefits of change 00-01 is 9% ( 9 % ) ; the salaries and employee benefits of adjusted change 00-01 ( 1 ) is 11% ( 11 % ) ;"], ["table_7", "( dollars in millions ) the number of employees of 2001 is 19753 ; the number of employees of 2000 is 17604 ; the number of employees of 1999 is 17213 ; the number of employees of change 00-01 is 12 ; the number of employees of adjusted change 00-01 ( 1 ) is ;"], ["text_15", "occupancy expensewas $ 229million , up 15% ( 15 % ) ."]]}, "answers": ["2.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000620", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the number of employees from 1999 to 2000?\nReference time interval: 1999-01-01 00:00:00 to 2001-01-01 00:00:00", "chosen": "2.3%.", "rejected": "12.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what is the growth rate in the number of employees <TIME>?", "doc_prefix": "STT", "base_question": "what is the growth rate in the number of employees <TIME>?", "original_question": "what is the growth rate in the number of employees from 1999 to 2000?", "reference_time": {"start": "1999-01-01 00:00:00", "end": "2001-01-01 00:00:00", "normalized_text": "from 1999 to 2000", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.3%": [{"start": "1999-01-01 00:00:00", "end": "2001-01-01 00:00:00", "normalized_text": "from 1999 to 2000"}], "12.2%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}]}, "chosen_source": {"id": "STT/2001/page_41.pdf-4", "qa": {"question": "what is the growth rate in the number of employees from 1999 to 2000?", "answer": "2.3%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "17604", "arg2": "17213", "res": "391"}, {"op": "divide2-2", "arg1": "#0", "arg2": "17213", "res": "2.3%"}], "program": "subtract(17604, 17213), divide(#0, 17213)", "gold_inds": {"table_7": "( dollars in millions ) the number of employees of 2001 is 19753 ; the number of employees of 2000 is 17604 ; the number of employees of 1999 is 17213 ; the number of employees of change 00-01 is 12 ; the number of employees of adjusted change 00-01 ( 1 ) is ;"}, "exe_ans": 0.02272, "tfidftopn": {"text_3": "state street successfully reduced the growth rate of expenses as revenue growth slowed during the latter half of 2000 and early 2001 .", "text_2": "expense growth in 2001 of 10% ( 10 % ) is significantly lower than the comparable 20% ( 20 % ) expense growth for 2000 compared to 1999 ."}, "program_re": "divide(subtract(17604, 17213), 17213)", "model_input": [["table_1", "( dollars in millions ) the salaries and employee benefits of 2001 is $ 1663 ; the salaries and employee benefits of 2000 is $ 1524 ; the salaries and employee benefits of 1999 is $ 1313 ; the salaries and employee benefits of change 00-01 is 9% ( 9 % ) ; the salaries and employee benefits of adjusted change 00-01 ( 1 ) is 11% ( 11 % ) ;"], ["table_7", "( dollars in millions ) the number of employees of 2001 is 19753 ; the number of employees of 2000 is 17604 ; the number of employees of 1999 is 17213 ; the number of employees of change 00-01 is 12 ; the number of employees of adjusted change 00-01 ( 1 ) is ;"], ["text_15", "occupancy expensewas $ 229million , up 15% ( 15 % ) ."]]}, "answers": ["2.3%"]}, "rejected_source": {"id": "STT/2001/page_41.pdf-3", "qa": {"question": "what is the growth rate in the number of employees from 2000 to 2001?", "answer": "12.2%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "19753", "arg2": "17604", "res": "2149"}, {"op": "divide1-2", "arg1": "#0", "arg2": "17604", "res": "12.2%"}], "program": "subtract(19753, 17604), divide(#0, 17604)", "gold_inds": {"table_7": "( dollars in millions ) the number of employees of 2001 is 19753 ; the number of employees of 2000 is 17604 ; the number of employees of 1999 is 17213 ; the number of employees of change 00-01 is 12 ; the number of employees of adjusted change 00-01 ( 1 ) is ;"}, "exe_ans": 0.12207, "tfidftopn": {"text_3": "state street successfully reduced the growth rate of expenses as revenue growth slowed during the latter half of 2000 and early 2001 .", "text_2": "expense growth in 2001 of 10% ( 10 % ) is significantly lower than the comparable 20% ( 20 % ) expense growth for 2000 compared to 1999 ."}, "program_re": "divide(subtract(19753, 17604), 17604)", "model_input": [["text_2", "expense growth in 2001 of 10% ( 10 % ) is significantly lower than the comparable 20% ( 20 % ) expense growth for 2000 compared to 1999 ."], ["table_1", "( dollars in millions ) the salaries and employee benefits of 2001 is $ 1663 ; the salaries and employee benefits of 2000 is $ 1524 ; the salaries and employee benefits of 1999 is $ 1313 ; the salaries and employee benefits of change 00-01 is 9% ( 9 % ) ; the salaries and employee benefits of adjusted change 00-01 ( 1 ) is 11% ( 11 % ) ;"], ["table_7", "( dollars in millions ) the number of employees of 2001 is 19753 ; the number of employees of 2000 is 17604 ; the number of employees of 1999 is 17213 ; the number of employees of change 00-01 is 12 ; the number of employees of adjusted change 00-01 ( 1 ) is ;"]]}, "answers": ["12.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000621", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the increase in the revenue from 2010 to 2011\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "113%.", "rejected": "6.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AON || what was the percent of the increase in the revenue <TIME>", "doc_prefix": "AON", "base_question": "what was the percent of the increase in the revenue <TIME>", "original_question": "what was the percent of the increase in the revenue from 2010 to 2011", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"113%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "6.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "AON/2011/page_63.pdf-3", "qa": {"question": "what was the percent of the increase in the revenue from 2010 to 2011", "answer": "113%", "explanation": "the revenue increase 113% from 2010 to 2011", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4501", "arg2": "2111", "res": "2389"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2111", "res": "113%"}], "program": "subtract(4501, 2111), divide(#0, 2111)", "gold_inds": {"table_1": "years ended december 31 , the revenue of 2011 is $ 4501 ; the revenue of 2010 is $ 2111 ; the revenue of 2009 is $ 1267 ;"}, "exe_ans": 1.13216, "tfidftopn": {"text_2": "operating income operating income increased $ 120 million , or 10% ( 10 % ) , from 2010 to $ 1.3 billion in 2011 .", "text_3": "in 2011 , operating income margins in this segment were 19.3% ( 19.3 % ) , up 70 basis points from 18.6% ( 18.6 % ) in 2010 ."}, "program_re": "divide(subtract(4501, 2111), 2111)", "model_input": [["table_1", "years ended december 31 , the revenue of 2011 is $ 4501 ; the revenue of 2010 is $ 2111 ; the revenue of 2009 is $ 1267 ;"], ["text_11", "effective january 1 , 2012 , this line of business will be included in the results of the risk solutions segment ."], ["text_15", "2022 benefits administration applies our hr expertise primarily through defined benefit ( pension ) , defined contribution ( 401 ( k ) ) , and health and welfare administrative services ."]]}, "answers": ["113%"]}, "rejected_source": {"id": "AON/2011/page_61.pdf-1", "qa": {"question": "what was the percent of the increase in the revenue from 2010 to 2011", "answer": "6.1%", "explanation": "the revenue increased by 6.1% from 2010 to 2011", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6817", "arg2": "6423", "res": "394"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6423", "res": "6.1%"}], "program": "subtract(6817, 6423), divide(#0, 6423)", "gold_inds": {"table_1": "years ended december 31 , the revenue of 2011 is $ 6817 ; the revenue of 2010 is $ 6423 ; the revenue of 2009 is $ 6305 ;"}, "exe_ans": 0.06134, "tfidftopn": {"table_2": "years ended december 31, The operating income of 2011 is 1314 ; The operating income of 2010 is 1194 ; The operating income of 2009 is 900 ;", "text_5": "the economic activity that impacts property and casualty insurance is described as exposure units , and is closely correlated with employment levels , corporate revenue and asset values ."}, "program_re": "divide(subtract(6817, 6423), 6423)", "model_input": [["table_1", "years ended december 31 , the revenue of 2011 is $ 6817 ; the revenue of 2010 is $ 6423 ; the revenue of 2009 is $ 6305 ;"], ["text_9", "in 2011 , pricing showed signs of stabilization and improvement in both our retail and reinsurance brokerage product lines and we expect this trend to slowly continue into 2012 ."], ["text_11", "weak global economic conditions have reduced our customers 2019 demand for our brokerage products , which have had a negative impact on our operational results ."]]}, "answers": ["6.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000622", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the increase in the revenue from 2010 to 2011\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "6.1%.", "rejected": "113%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AON || what was the percent of the increase in the revenue <TIME>", "doc_prefix": "AON", "base_question": "what was the percent of the increase in the revenue <TIME>", "original_question": "what was the percent of the increase in the revenue from 2010 to 2011", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"113%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "6.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "AON/2011/page_61.pdf-1", "qa": {"question": "what was the percent of the increase in the revenue from 2010 to 2011", "answer": "6.1%", "explanation": "the revenue increased by 6.1% from 2010 to 2011", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6817", "arg2": "6423", "res": "394"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6423", "res": "6.1%"}], "program": "subtract(6817, 6423), divide(#0, 6423)", "gold_inds": {"table_1": "years ended december 31 , the revenue of 2011 is $ 6817 ; the revenue of 2010 is $ 6423 ; the revenue of 2009 is $ 6305 ;"}, "exe_ans": 0.06134, "tfidftopn": {"table_2": "years ended december 31, The operating income of 2011 is 1314 ; The operating income of 2010 is 1194 ; The operating income of 2009 is 900 ;", "text_5": "the economic activity that impacts property and casualty insurance is described as exposure units , and is closely correlated with employment levels , corporate revenue and asset values ."}, "program_re": "divide(subtract(6817, 6423), 6423)", "model_input": [["table_1", "years ended december 31 , the revenue of 2011 is $ 6817 ; the revenue of 2010 is $ 6423 ; the revenue of 2009 is $ 6305 ;"], ["text_9", "in 2011 , pricing showed signs of stabilization and improvement in both our retail and reinsurance brokerage product lines and we expect this trend to slowly continue into 2012 ."], ["text_11", "weak global economic conditions have reduced our customers 2019 demand for our brokerage products , which have had a negative impact on our operational results ."]]}, "answers": ["6.1%"]}, "rejected_source": {"id": "AON/2011/page_63.pdf-3", "qa": {"question": "what was the percent of the increase in the revenue from 2010 to 2011", "answer": "113%", "explanation": "the revenue increase 113% from 2010 to 2011", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4501", "arg2": "2111", "res": "2389"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2111", "res": "113%"}], "program": "subtract(4501, 2111), divide(#0, 2111)", "gold_inds": {"table_1": "years ended december 31 , the revenue of 2011 is $ 4501 ; the revenue of 2010 is $ 2111 ; the revenue of 2009 is $ 1267 ;"}, "exe_ans": 1.13216, "tfidftopn": {"text_2": "operating income operating income increased $ 120 million , or 10% ( 10 % ) , from 2010 to $ 1.3 billion in 2011 .", "text_3": "in 2011 , operating income margins in this segment were 19.3% ( 19.3 % ) , up 70 basis points from 18.6% ( 18.6 % ) in 2010 ."}, "program_re": "divide(subtract(4501, 2111), 2111)", "model_input": [["table_1", "years ended december 31 , the revenue of 2011 is $ 4501 ; the revenue of 2010 is $ 2111 ; the revenue of 2009 is $ 1267 ;"], ["text_11", "effective january 1 , 2012 , this line of business will be included in the results of the risk solutions segment ."], ["text_15", "2022 benefits administration applies our hr expertise primarily through defined benefit ( pension ) , defined contribution ( 401 ( k ) ) , and health and welfare administrative services ."]]}, "answers": ["113%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000623", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total credit commitments as of december 31 , 2018 are credit card lines?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "68%.", "rejected": "69%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total credit commitments as of december 31 , <TIME> are credit card lines?", "doc_prefix": "C", "base_question": "what percentage of total credit commitments as of december 31 , <TIME> are credit card lines?", "original_question": "what percentage of total credit commitments as of december 31 , 2018 are credit card lines?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"69%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "68%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "C/2018/page_296.pdf-3", "qa": {"question": "what percentage of total credit commitments as of december 31 , 2018 are credit card lines?", "answer": "68%", "explanation": "", "ann_table_rows": [5, 8], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "696007", "arg2": "1018894", "res": "68%"}], "program": "divide(696007, 1018894)", "gold_inds": {"table_5": "in millions of dollars the credit card lines of u.s . is 605857 ; the credit card lines of outside ofu.s . is 90150 ; the credit card lines of december 312018 is 696007 ; the credit card lines of december 31 2017 is 678300 ;", "table_8": "in millions of dollars the total of u.s . is $ 815729 ; the total of outside ofu.s . is $ 203165 ; the total of december 312018 is $ 1018894 ; the total of december 31 2017 is $ 985174 ;"}, "exe_ans": 0.6831, "tfidftopn": {"text_15": "credit card lines citigroup provides credit to customers by issuing credit cards ."}, "program_re": "divide(696007, 1018894)", "model_input": [["text_0", "credit commitments and lines of credit the table below summarizes citigroup 2019s credit commitments : in millions of dollars u.s ."], ["table_5", "in millions of dollars the credit card lines of u.s . is 605857 ; the credit card lines of outside ofu.s . is 90150 ; the credit card lines of december 312018 is 696007 ; the credit card lines of december 31 2017 is 678300 ;"], ["table_8", "in millions of dollars the total of u.s . is $ 815729 ; the total of outside ofu.s . is $ 203165 ; the total of december 312018 is $ 1018894 ; the total of december 31 2017 is $ 985174 ;"]]}, "answers": ["68%"]}, "rejected_source": {"id": "C/2018/page_296.pdf-2", "qa": {"question": "what percentage of total credit commitments as of december 31 , 2017 are credit card lines?", "answer": "69%", "explanation": "", "ann_table_rows": [5, 8], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "678300", "arg2": "985174", "res": "69%"}], "program": "divide(678300, 985174)", "gold_inds": {"table_5": "in millions of dollars the credit card lines of u.s . is 605857 ; the credit card lines of outside ofu.s . is 90150 ; the credit card lines of december 312018 is 696007 ; the credit card lines of december 31 2017 is 678300 ;", "table_8": "in millions of dollars the total of u.s . is $ 815729 ; the total of outside ofu.s . is $ 203165 ; the total of december 312018 is $ 1018894 ; the total of december 31 2017 is $ 985174 ;"}, "exe_ans": 0.68851, "tfidftopn": {"text_15": "credit card lines citigroup provides credit to customers by issuing credit cards ."}, "program_re": "divide(678300, 985174)", "model_input": [["text_2", "december 31 , december 31 ."], ["table_5", "in millions of dollars the credit card lines of u.s . is 605857 ; the credit card lines of outside ofu.s . is 90150 ; the credit card lines of december 312018 is 696007 ; the credit card lines of december 31 2017 is 678300 ;"], ["table_8", "in millions of dollars the total of u.s . is $ 815729 ; the total of outside ofu.s . is $ 203165 ; the total of december 312018 is $ 1018894 ; the total of december 31 2017 is $ 985174 ;"]]}, "answers": ["69%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000624", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total credit commitments as of december 31 , 2017 are credit card lines?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "69%.", "rejected": "68%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total credit commitments as of december 31 , <TIME> are credit card lines?", "doc_prefix": "C", "base_question": "what percentage of total credit commitments as of december 31 , <TIME> are credit card lines?", "original_question": "what percentage of total credit commitments as of december 31 , 2017 are credit card lines?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"69%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "68%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "C/2018/page_296.pdf-2", "qa": {"question": "what percentage of total credit commitments as of december 31 , 2017 are credit card lines?", "answer": "69%", "explanation": "", "ann_table_rows": [5, 8], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "678300", "arg2": "985174", "res": "69%"}], "program": "divide(678300, 985174)", "gold_inds": {"table_5": "in millions of dollars the credit card lines of u.s . is 605857 ; the credit card lines of outside ofu.s . is 90150 ; the credit card lines of december 312018 is 696007 ; the credit card lines of december 31 2017 is 678300 ;", "table_8": "in millions of dollars the total of u.s . is $ 815729 ; the total of outside ofu.s . is $ 203165 ; the total of december 312018 is $ 1018894 ; the total of december 31 2017 is $ 985174 ;"}, "exe_ans": 0.68851, "tfidftopn": {"text_15": "credit card lines citigroup provides credit to customers by issuing credit cards ."}, "program_re": "divide(678300, 985174)", "model_input": [["text_2", "december 31 , december 31 ."], ["table_5", "in millions of dollars the credit card lines of u.s . is 605857 ; the credit card lines of outside ofu.s . is 90150 ; the credit card lines of december 312018 is 696007 ; the credit card lines of december 31 2017 is 678300 ;"], ["table_8", "in millions of dollars the total of u.s . is $ 815729 ; the total of outside ofu.s . is $ 203165 ; the total of december 312018 is $ 1018894 ; the total of december 31 2017 is $ 985174 ;"]]}, "answers": ["69%"]}, "rejected_source": {"id": "C/2018/page_296.pdf-3", "qa": {"question": "what percentage of total credit commitments as of december 31 , 2018 are credit card lines?", "answer": "68%", "explanation": "", "ann_table_rows": [5, 8], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "696007", "arg2": "1018894", "res": "68%"}], "program": "divide(696007, 1018894)", "gold_inds": {"table_5": "in millions of dollars the credit card lines of u.s . is 605857 ; the credit card lines of outside ofu.s . is 90150 ; the credit card lines of december 312018 is 696007 ; the credit card lines of december 31 2017 is 678300 ;", "table_8": "in millions of dollars the total of u.s . is $ 815729 ; the total of outside ofu.s . is $ 203165 ; the total of december 312018 is $ 1018894 ; the total of december 31 2017 is $ 985174 ;"}, "exe_ans": 0.6831, "tfidftopn": {"text_15": "credit card lines citigroup provides credit to customers by issuing credit cards ."}, "program_re": "divide(696007, 1018894)", "model_input": [["text_0", "credit commitments and lines of credit the table below summarizes citigroup 2019s credit commitments : in millions of dollars u.s ."], ["table_5", "in millions of dollars the credit card lines of u.s . is 605857 ; the credit card lines of outside ofu.s . is 90150 ; the credit card lines of december 312018 is 696007 ; the credit card lines of december 31 2017 is 678300 ;"], ["table_8", "in millions of dollars the total of u.s . is $ 815729 ; the total of outside ofu.s . is $ 203165 ; the total of december 312018 is $ 1018894 ; the total of december 31 2017 is $ 985174 ;"]]}, "answers": ["68%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000625", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rent expense under operating leases from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "25%.", "rejected": "44%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in rent expense under operating leases <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in rent expense under operating leases <TIME>?", "original_question": "what was the percentage change in rent expense under operating leases from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "44%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_71.pdf-2", "qa": {"question": "what was the percentage change in rent expense under operating leases from 2010 to 2011?", "answer": "25%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "338", "arg2": "271", "res": "67"}, {"op": "divide2-2", "arg1": "#0", "arg2": "271", "res": "25%"}], "program": "subtract(338, 271), divide(#0, 271)", "gold_inds": {"text_5": "rent expense under all operating leases , including both cancelable and noncancelable leases , was $ 488 million , $ 338 million and $ 271 million in 2012 , 2011 and 2010 , respectively ."}, "exe_ans": 0.24723, "tfidftopn": {"text_4": "as of september 29 , 2012 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 4.4 billion , of which $ 3.1 billion related to leases for retail space .", "text_6": "future minimum lease payments under noncancelable operating leases having remaining terms in excess of one year as of september 29 , 2012 , are as follows ( in millions ) : ."}, "program_re": "divide(subtract(338, 271), 271)", "model_input": [["text_5", "rent expense under all operating leases , including both cancelable and noncancelable leases , was $ 488 million , $ 338 million and $ 271 million in 2012 , 2011 and 2010 , respectively ."], ["text_8", "in addition to the off-balance sheet commitments mentioned above , the company had outstanding obligations of $ 988 million as of september 29 , 2012 , which were comprised mainly of commitments to acquire capital assets , including product tooling and manufacturing process equipment , and commitments related to advertising , research and development , internet and telecommunications services and other obligations ."], ["text_9", "contingencies the company is subject to various legal proceedings and claims that have arisen in the ordinary course of business and have not been fully adjudicated , certain of which are discussed in part i , item 3 of this form 10-k under the heading 201clegal proceedings 201d and in part i , item 1a of this form 10-k under the heading 201crisk factors . 201d in the opinion of management , there was not at least a reasonable possibility the company may have incurred a material loss , or a material loss in excess of a recorded accrual , with respect to loss contingencies ."]]}, "answers": ["25%"]}, "rejected_source": {"id": "AAPL/2012/page_71.pdf-3", "qa": {"question": "what was the percentage change in rent expense under operating leases from 2011 to 2012?", "answer": "44%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "minus1-1", "arg1": "488", "arg2": "338", "res": "150"}, {"op": "divide1-2", "arg1": "#0", "arg2": "338", "res": "44%"}], "program": "subtract(488, 338), divide(#0, 338)", "gold_inds": {"text_5": "rent expense under all operating leases , including both cancelable and noncancelable leases , was $ 488 million , $ 338 million and $ 271 million in 2012 , 2011 and 2010 , respectively ."}, "exe_ans": 0.44379, "tfidftopn": {"text_4": "as of september 29 , 2012 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 4.4 billion , of which $ 3.1 billion related to leases for retail space .", "text_6": "future minimum lease payments under noncancelable operating leases having remaining terms in excess of one year as of september 29 , 2012 , are as follows ( in millions ) : ."}, "program_re": "divide(subtract(488, 338), 338)", "model_input": [["text_5", "rent expense under all operating leases , including both cancelable and noncancelable leases , was $ 488 million , $ 338 million and $ 271 million in 2012 , 2011 and 2010 , respectively ."], ["text_8", "in addition to the off-balance sheet commitments mentioned above , the company had outstanding obligations of $ 988 million as of september 29 , 2012 , which were comprised mainly of commitments to acquire capital assets , including product tooling and manufacturing process equipment , and commitments related to advertising , research and development , internet and telecommunications services and other obligations ."], ["text_9", "contingencies the company is subject to various legal proceedings and claims that have arisen in the ordinary course of business and have not been fully adjudicated , certain of which are discussed in part i , item 3 of this form 10-k under the heading 201clegal proceedings 201d and in part i , item 1a of this form 10-k under the heading 201crisk factors . 201d in the opinion of management , there was not at least a reasonable possibility the company may have incurred a material loss , or a material loss in excess of a recorded accrual , with respect to loss contingencies ."]]}, "answers": ["44%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000626", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rent expense under operating leases from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "44%.", "rejected": "25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in rent expense under operating leases <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in rent expense under operating leases <TIME>?", "original_question": "what was the percentage change in rent expense under operating leases from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "44%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_71.pdf-3", "qa": {"question": "what was the percentage change in rent expense under operating leases from 2011 to 2012?", "answer": "44%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "minus1-1", "arg1": "488", "arg2": "338", "res": "150"}, {"op": "divide1-2", "arg1": "#0", "arg2": "338", "res": "44%"}], "program": "subtract(488, 338), divide(#0, 338)", "gold_inds": {"text_5": "rent expense under all operating leases , including both cancelable and noncancelable leases , was $ 488 million , $ 338 million and $ 271 million in 2012 , 2011 and 2010 , respectively ."}, "exe_ans": 0.44379, "tfidftopn": {"text_4": "as of september 29 , 2012 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 4.4 billion , of which $ 3.1 billion related to leases for retail space .", "text_6": "future minimum lease payments under noncancelable operating leases having remaining terms in excess of one year as of september 29 , 2012 , are as follows ( in millions ) : ."}, "program_re": "divide(subtract(488, 338), 338)", "model_input": [["text_5", "rent expense under all operating leases , including both cancelable and noncancelable leases , was $ 488 million , $ 338 million and $ 271 million in 2012 , 2011 and 2010 , respectively ."], ["text_8", "in addition to the off-balance sheet commitments mentioned above , the company had outstanding obligations of $ 988 million as of september 29 , 2012 , which were comprised mainly of commitments to acquire capital assets , including product tooling and manufacturing process equipment , and commitments related to advertising , research and development , internet and telecommunications services and other obligations ."], ["text_9", "contingencies the company is subject to various legal proceedings and claims that have arisen in the ordinary course of business and have not been fully adjudicated , certain of which are discussed in part i , item 3 of this form 10-k under the heading 201clegal proceedings 201d and in part i , item 1a of this form 10-k under the heading 201crisk factors . 201d in the opinion of management , there was not at least a reasonable possibility the company may have incurred a material loss , or a material loss in excess of a recorded accrual , with respect to loss contingencies ."]]}, "answers": ["44%"]}, "rejected_source": {"id": "AAPL/2012/page_71.pdf-2", "qa": {"question": "what was the percentage change in rent expense under operating leases from 2010 to 2011?", "answer": "25%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "338", "arg2": "271", "res": "67"}, {"op": "divide2-2", "arg1": "#0", "arg2": "271", "res": "25%"}], "program": "subtract(338, 271), divide(#0, 271)", "gold_inds": {"text_5": "rent expense under all operating leases , including both cancelable and noncancelable leases , was $ 488 million , $ 338 million and $ 271 million in 2012 , 2011 and 2010 , respectively ."}, "exe_ans": 0.24723, "tfidftopn": {"text_4": "as of september 29 , 2012 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 4.4 billion , of which $ 3.1 billion related to leases for retail space .", "text_6": "future minimum lease payments under noncancelable operating leases having remaining terms in excess of one year as of september 29 , 2012 , are as follows ( in millions ) : ."}, "program_re": "divide(subtract(338, 271), 271)", "model_input": [["text_5", "rent expense under all operating leases , including both cancelable and noncancelable leases , was $ 488 million , $ 338 million and $ 271 million in 2012 , 2011 and 2010 , respectively ."], ["text_8", "in addition to the off-balance sheet commitments mentioned above , the company had outstanding obligations of $ 988 million as of september 29 , 2012 , which were comprised mainly of commitments to acquire capital assets , including product tooling and manufacturing process equipment , and commitments related to advertising , research and development , internet and telecommunications services and other obligations ."], ["text_9", "contingencies the company is subject to various legal proceedings and claims that have arisen in the ordinary course of business and have not been fully adjudicated , certain of which are discussed in part i , item 3 of this form 10-k under the heading 201clegal proceedings 201d and in part i , item 1a of this form 10-k under the heading 201crisk factors . 201d in the opinion of management , there was not at least a reasonable possibility the company may have incurred a material loss , or a material loss in excess of a recorded accrual , with respect to loss contingencies ."]]}, "answers": ["25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000627", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in 401 ( k ) contributions from 2000 to 2001?\nReference time interval: 2000-01-01 00:00:00 to 2002-01-01 00:00:00", "chosen": "-3.3%.", "rejected": "-36.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in 401 ( k ) contributions <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in 401 ( k ) contributions <TIME>?", "original_question": "what is the percentage change in 401 ( k ) contributions from 2000 to 2001?", "reference_time": {"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.3%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "-36.4%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}]}, "chosen_source": {"id": "AMT/2002/page_74.pdf-1", "qa": {"question": "what is the percentage change in 401 ( k ) contributions from 2000 to 2001?", "answer": "-3.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus1-1", "arg1": "1540000", "arg2": "1593000", "res": "-53000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1593000", "res": "-3.3%"}], "program": "subtract(1540000, 1593000), divide(#0, 1593000)", "gold_inds": {"text_9": "the company contributed approximately $ 979000 , $ 1540000 and $ 1593000 to the plan for the years ended december 31 , 2002 , 2001 and 2000 , respectively ."}, "exe_ans": -0.03327, "tfidftopn": {"text_8": "under the plan , the company matches 35% ( 35 % ) of participants 2019 contributions up to a maximum 5% ( 5 % ) of a participant 2019s compensation .", "text_7": "retirement plan 2014the company has a 401 ( k ) plan covering substantially all employees who meet certain age and employment requirements ."}, "program_re": "divide(subtract(1540000, 1593000), 1593000)", "model_input": [["text_1", "123 to stock-based compensation ."], ["text_9", "the company contributed approximately $ 979000 , $ 1540000 and $ 1593000 to the plan for the years ended december 31 , 2002 , 2001 and 2000 , respectively ."], ["text_33", "accordingly , all relevant impairment assessments and decisions concerning discontinued operations have been made under this standard in 2002. ."]]}, "answers": ["-3.3%"]}, "rejected_source": {"id": "AMT/2002/page_74.pdf-4", "qa": {"question": "what is the percentage change in 401 ( k ) contributions from 2001 to 2002?", "answer": "-36.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus2-1", "arg1": "979000", "arg2": "1540000", "res": "-561000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1540000", "res": "-36.4%"}], "program": "subtract(979000, 1540000), divide(#0, 1540000)", "gold_inds": {"text_9": "the company contributed approximately $ 979000 , $ 1540000 and $ 1593000 to the plan for the years ended december 31 , 2002 , 2001 and 2000 , respectively ."}, "exe_ans": -0.36429, "tfidftopn": {"text_8": "under the plan , the company matches 35% ( 35 % ) of participants 2019 contributions up to a maximum 5% ( 5 % ) of a participant 2019s compensation .", "text_7": "retirement plan 2014the company has a 401 ( k ) plan covering substantially all employees who meet certain age and employment requirements ."}, "program_re": "divide(subtract(979000, 1540000), 1540000)", "model_input": [["text_1", "123 to stock-based compensation ."], ["text_9", "the company contributed approximately $ 979000 , $ 1540000 and $ 1593000 to the plan for the years ended december 31 , 2002 , 2001 and 2000 , respectively ."], ["text_33", "accordingly , all relevant impairment assessments and decisions concerning discontinued operations have been made under this standard in 2002. ."]]}, "answers": ["-36.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000628", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in 401 ( k ) contributions from 2001 to 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "-36.4%.", "rejected": "-3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in 401 ( k ) contributions <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in 401 ( k ) contributions <TIME>?", "original_question": "what is the percentage change in 401 ( k ) contributions from 2001 to 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.3%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "-36.4%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}]}, "chosen_source": {"id": "AMT/2002/page_74.pdf-4", "qa": {"question": "what is the percentage change in 401 ( k ) contributions from 2001 to 2002?", "answer": "-36.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus2-1", "arg1": "979000", "arg2": "1540000", "res": "-561000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1540000", "res": "-36.4%"}], "program": "subtract(979000, 1540000), divide(#0, 1540000)", "gold_inds": {"text_9": "the company contributed approximately $ 979000 , $ 1540000 and $ 1593000 to the plan for the years ended december 31 , 2002 , 2001 and 2000 , respectively ."}, "exe_ans": -0.36429, "tfidftopn": {"text_8": "under the plan , the company matches 35% ( 35 % ) of participants 2019 contributions up to a maximum 5% ( 5 % ) of a participant 2019s compensation .", "text_7": "retirement plan 2014the company has a 401 ( k ) plan covering substantially all employees who meet certain age and employment requirements ."}, "program_re": "divide(subtract(979000, 1540000), 1540000)", "model_input": [["text_1", "123 to stock-based compensation ."], ["text_9", "the company contributed approximately $ 979000 , $ 1540000 and $ 1593000 to the plan for the years ended december 31 , 2002 , 2001 and 2000 , respectively ."], ["text_33", "accordingly , all relevant impairment assessments and decisions concerning discontinued operations have been made under this standard in 2002. ."]]}, "answers": ["-36.4%"]}, "rejected_source": {"id": "AMT/2002/page_74.pdf-1", "qa": {"question": "what is the percentage change in 401 ( k ) contributions from 2000 to 2001?", "answer": "-3.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus1-1", "arg1": "1540000", "arg2": "1593000", "res": "-53000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1593000", "res": "-3.3%"}], "program": "subtract(1540000, 1593000), divide(#0, 1593000)", "gold_inds": {"text_9": "the company contributed approximately $ 979000 , $ 1540000 and $ 1593000 to the plan for the years ended december 31 , 2002 , 2001 and 2000 , respectively ."}, "exe_ans": -0.03327, "tfidftopn": {"text_8": "under the plan , the company matches 35% ( 35 % ) of participants 2019 contributions up to a maximum 5% ( 5 % ) of a participant 2019s compensation .", "text_7": "retirement plan 2014the company has a 401 ( k ) plan covering substantially all employees who meet certain age and employment requirements ."}, "program_re": "divide(subtract(1540000, 1593000), 1593000)", "model_input": [["text_1", "123 to stock-based compensation ."], ["text_9", "the company contributed approximately $ 979000 , $ 1540000 and $ 1593000 to the plan for the years ended december 31 , 2002 , 2001 and 2000 , respectively ."], ["text_33", "accordingly , all relevant impairment assessments and decisions concerning discontinued operations have been made under this standard in 2002. ."]]}, "answers": ["-3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000629", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net revenues in the investing & lending segment is attributable to equity securities in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "67%.", "rejected": "70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total net revenues in the investing & lending segment is attributable to equity securities <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of total net revenues in the investing & lending segment is attributable to equity securities <TIME>?", "original_question": "what percentage of total net revenues in the investing & lending segment is attributable to equity securities in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"67%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "70%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "GS/2015/page_76.pdf-4", "qa": {"question": "what percentage of total net revenues in the investing & lending segment is attributable to equity securities in 2014?", "answer": "67%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4579", "arg2": "6825", "res": "67%"}], "program": "divide(4579, 6825)", "gold_inds": {"table_1": "$ in millions the equity securities of year ended december 2015 is $ 3781 ; the equity securities of year ended december 2014 is $ 4579 ; the equity securities of year ended december 2013 is $ 4974 ;", "table_3": "$ in millions the total net revenues1 of year ended december 2015 is 5436 ; the total net revenues1 of year ended december 2014 is 6825 ; the total net revenues1 of year ended december 2013 is 7018 ;"}, "exe_ans": 0.67092, "tfidftopn": {"text_4": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(4579, 6825)", "model_input": [["text_4", "the table below presents the operating results of our investing & lending segment. ."], ["table_1", "$ in millions the equity securities of year ended december 2015 is $ 3781 ; the equity securities of year ended december 2014 is $ 4579 ; the equity securities of year ended december 2013 is $ 4974 ;"], ["table_3", "$ in millions the total net revenues1 of year ended december 2015 is 5436 ; the total net revenues1 of year ended december 2014 is 6825 ; the total net revenues1 of year ended december 2013 is 7018 ;"]]}, "answers": ["67%"]}, "rejected_source": {"id": "GS/2015/page_76.pdf-3", "qa": {"question": "what percentage of total net revenues in the investing & lending segment is attributable to equity securities in 2015?", "answer": "70%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3781", "arg2": "5436", "res": "70%"}], "program": "divide(3781, 5436)", "gold_inds": {"table_1": "$ in millions the equity securities of year ended december 2015 is $ 3781 ; the equity securities of year ended december 2014 is $ 4579 ; the equity securities of year ended december 2013 is $ 4974 ;", "table_3": "$ in millions the total net revenues1 of year ended december 2015 is 5436 ; the total net revenues1 of year ended december 2014 is 6825 ; the total net revenues1 of year ended december 2013 is 7018 ;"}, "exe_ans": 0.69555, "tfidftopn": {"text_4": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(3781, 5436)", "model_input": [["text_4", "the table below presents the operating results of our investing & lending segment. ."], ["table_1", "$ in millions the equity securities of year ended december 2015 is $ 3781 ; the equity securities of year ended december 2014 is $ 4579 ; the equity securities of year ended december 2013 is $ 4974 ;"], ["table_3", "$ in millions the total net revenues1 of year ended december 2015 is 5436 ; the total net revenues1 of year ended december 2014 is 6825 ; the total net revenues1 of year ended december 2013 is 7018 ;"]]}, "answers": ["70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000630", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net revenues in the investing & lending segment is attributable to equity securities in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "70%.", "rejected": "67%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total net revenues in the investing & lending segment is attributable to equity securities <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of total net revenues in the investing & lending segment is attributable to equity securities <TIME>?", "original_question": "what percentage of total net revenues in the investing & lending segment is attributable to equity securities in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"67%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "70%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "GS/2015/page_76.pdf-3", "qa": {"question": "what percentage of total net revenues in the investing & lending segment is attributable to equity securities in 2015?", "answer": "70%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3781", "arg2": "5436", "res": "70%"}], "program": "divide(3781, 5436)", "gold_inds": {"table_1": "$ in millions the equity securities of year ended december 2015 is $ 3781 ; the equity securities of year ended december 2014 is $ 4579 ; the equity securities of year ended december 2013 is $ 4974 ;", "table_3": "$ in millions the total net revenues1 of year ended december 2015 is 5436 ; the total net revenues1 of year ended december 2014 is 6825 ; the total net revenues1 of year ended december 2013 is 7018 ;"}, "exe_ans": 0.69555, "tfidftopn": {"text_4": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(3781, 5436)", "model_input": [["text_4", "the table below presents the operating results of our investing & lending segment. ."], ["table_1", "$ in millions the equity securities of year ended december 2015 is $ 3781 ; the equity securities of year ended december 2014 is $ 4579 ; the equity securities of year ended december 2013 is $ 4974 ;"], ["table_3", "$ in millions the total net revenues1 of year ended december 2015 is 5436 ; the total net revenues1 of year ended december 2014 is 6825 ; the total net revenues1 of year ended december 2013 is 7018 ;"]]}, "answers": ["70%"]}, "rejected_source": {"id": "GS/2015/page_76.pdf-4", "qa": {"question": "what percentage of total net revenues in the investing & lending segment is attributable to equity securities in 2014?", "answer": "67%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4579", "arg2": "6825", "res": "67%"}], "program": "divide(4579, 6825)", "gold_inds": {"table_1": "$ in millions the equity securities of year ended december 2015 is $ 3781 ; the equity securities of year ended december 2014 is $ 4579 ; the equity securities of year ended december 2013 is $ 4974 ;", "table_3": "$ in millions the total net revenues1 of year ended december 2015 is 5436 ; the total net revenues1 of year ended december 2014 is 6825 ; the total net revenues1 of year ended december 2013 is 7018 ;"}, "exe_ans": 0.67092, "tfidftopn": {"text_4": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(4579, 6825)", "model_input": [["text_4", "the table below presents the operating results of our investing & lending segment. ."], ["table_1", "$ in millions the equity securities of year ended december 2015 is $ 3781 ; the equity securities of year ended december 2014 is $ 4579 ; the equity securities of year ended december 2013 is $ 4974 ;"], ["table_3", "$ in millions the total net revenues1 of year ended december 2015 is 5436 ; the total net revenues1 of year ended december 2014 is 6825 ; the total net revenues1 of year ended december 2013 is 7018 ;"]]}, "answers": ["67%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000631", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance valuation allowance rollforward during 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-2.2%.", "rejected": "31.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "WELL || what is the percentage change in the balance valuation allowance rollforward <TIME>?", "doc_prefix": "WELL", "base_question": "what is the percentage change in the balance valuation allowance rollforward <TIME>?", "original_question": "what is the percentage change in the balance valuation allowance rollforward during 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2.2%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "31.4%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "WELL/2017/page_116.pdf-2", "qa": {"question": "what is the percentage change in the balance valuation allowance rollforward during 2016?", "answer": "-2.2%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-2128", "arg2": "98966", "res": "-2.2%"}], "program": "divide(-2128, 98966)", "gold_inds": {"table_1": "2016 the beginning balance of year ended december 31 2017 2016 is $ 96838 ; the beginning balance of year ended december 31 2017 2016 is $ 98966 ; the beginning balance of year ended december 31 2017 is $ 85207 ;", "table_2": "2016 the expense ( benefit ) of year ended december 31 2017 2016 is 30445 ; the expense ( benefit ) of year ended december 31 2017 2016 is -2128 ( 2128 ) ; the expense ( benefit ) of year ended december 31 2017 is 13759 ;"}, "exe_ans": -0.0215, "tfidftopn": {"text_2": "the valuation allowance rollforward is summarized as follows for the periods presented ( in thousands ) : year ended december 31 , 2017 2016 2015 ."}, "program_re": "divide(-2128, 98966)", "model_input": [["table_1", "2016 the beginning balance of year ended december 31 2017 2016 is $ 96838 ; the beginning balance of year ended december 31 2017 2016 is $ 98966 ; the beginning balance of year ended december 31 2017 is $ 85207 ;"], ["table_2", "2016 the expense ( benefit ) of year ended december 31 2017 2016 is 30445 ; the expense ( benefit ) of year ended december 31 2017 2016 is -2128 ( 2128 ) ; the expense ( benefit ) of year ended december 31 2017 is 13759 ;"], ["table_3", "2016 the ending balance of year ended december 31 2017 2016 is $ 127283 ; the ending balance of year ended december 31 2017 2016 is $ 96838 ; the ending balance of year ended december 31 2017 is $ 98966 ;"]]}, "answers": ["-2.2%"]}, "rejected_source": {"id": "WELL/2017/page_116.pdf-1", "qa": {"question": "what is the percentage change in the balance valuation allowance rollforward during 2017?", "answer": "31.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "30445", "arg2": "96838", "res": "31.4%"}], "program": "divide(30445, 96838)", "gold_inds": {"table_1": "2016 the beginning balance of year ended december 31 2017 2016 is $ 96838 ; the beginning balance of year ended december 31 2017 2016 is $ 98966 ; the beginning balance of year ended december 31 2017 is $ 85207 ;", "table_2": "2016 the expense ( benefit ) of year ended december 31 2017 2016 is 30445 ; the expense ( benefit ) of year ended december 31 2017 2016 is -2128 ( 2128 ) ; the expense ( benefit ) of year ended december 31 2017 is 13759 ;"}, "exe_ans": 0.31439, "tfidftopn": {"text_2": "the valuation allowance rollforward is summarized as follows for the periods presented ( in thousands ) : year ended december 31 , 2017 2016 2015 ."}, "program_re": "divide(30445, 96838)", "model_input": [["table_1", "2016 the beginning balance of year ended december 31 2017 2016 is $ 96838 ; the beginning balance of year ended december 31 2017 2016 is $ 98966 ; the beginning balance of year ended december 31 2017 is $ 85207 ;"], ["table_2", "2016 the expense ( benefit ) of year ended december 31 2017 2016 is 30445 ; the expense ( benefit ) of year ended december 31 2017 2016 is -2128 ( 2128 ) ; the expense ( benefit ) of year ended december 31 2017 is 13759 ;"], ["table_3", "2016 the ending balance of year ended december 31 2017 2016 is $ 127283 ; the ending balance of year ended december 31 2017 2016 is $ 96838 ; the ending balance of year ended december 31 2017 is $ 98966 ;"]]}, "answers": ["31.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000632", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance valuation allowance rollforward during 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "31.4%.", "rejected": "-2.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "WELL || what is the percentage change in the balance valuation allowance rollforward <TIME>?", "doc_prefix": "WELL", "base_question": "what is the percentage change in the balance valuation allowance rollforward <TIME>?", "original_question": "what is the percentage change in the balance valuation allowance rollforward during 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2.2%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "31.4%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "WELL/2017/page_116.pdf-1", "qa": {"question": "what is the percentage change in the balance valuation allowance rollforward during 2017?", "answer": "31.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "30445", "arg2": "96838", "res": "31.4%"}], "program": "divide(30445, 96838)", "gold_inds": {"table_1": "2016 the beginning balance of year ended december 31 2017 2016 is $ 96838 ; the beginning balance of year ended december 31 2017 2016 is $ 98966 ; the beginning balance of year ended december 31 2017 is $ 85207 ;", "table_2": "2016 the expense ( benefit ) of year ended december 31 2017 2016 is 30445 ; the expense ( benefit ) of year ended december 31 2017 2016 is -2128 ( 2128 ) ; the expense ( benefit ) of year ended december 31 2017 is 13759 ;"}, "exe_ans": 0.31439, "tfidftopn": {"text_2": "the valuation allowance rollforward is summarized as follows for the periods presented ( in thousands ) : year ended december 31 , 2017 2016 2015 ."}, "program_re": "divide(30445, 96838)", "model_input": [["table_1", "2016 the beginning balance of year ended december 31 2017 2016 is $ 96838 ; the beginning balance of year ended december 31 2017 2016 is $ 98966 ; the beginning balance of year ended december 31 2017 is $ 85207 ;"], ["table_2", "2016 the expense ( benefit ) of year ended december 31 2017 2016 is 30445 ; the expense ( benefit ) of year ended december 31 2017 2016 is -2128 ( 2128 ) ; the expense ( benefit ) of year ended december 31 2017 is 13759 ;"], ["table_3", "2016 the ending balance of year ended december 31 2017 2016 is $ 127283 ; the ending balance of year ended december 31 2017 2016 is $ 96838 ; the ending balance of year ended december 31 2017 is $ 98966 ;"]]}, "answers": ["31.4%"]}, "rejected_source": {"id": "WELL/2017/page_116.pdf-2", "qa": {"question": "what is the percentage change in the balance valuation allowance rollforward during 2016?", "answer": "-2.2%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-2128", "arg2": "98966", "res": "-2.2%"}], "program": "divide(-2128, 98966)", "gold_inds": {"table_1": "2016 the beginning balance of year ended december 31 2017 2016 is $ 96838 ; the beginning balance of year ended december 31 2017 2016 is $ 98966 ; the beginning balance of year ended december 31 2017 is $ 85207 ;", "table_2": "2016 the expense ( benefit ) of year ended december 31 2017 2016 is 30445 ; the expense ( benefit ) of year ended december 31 2017 2016 is -2128 ( 2128 ) ; the expense ( benefit ) of year ended december 31 2017 is 13759 ;"}, "exe_ans": -0.0215, "tfidftopn": {"text_2": "the valuation allowance rollforward is summarized as follows for the periods presented ( in thousands ) : year ended december 31 , 2017 2016 2015 ."}, "program_re": "divide(-2128, 98966)", "model_input": [["table_1", "2016 the beginning balance of year ended december 31 2017 2016 is $ 96838 ; the beginning balance of year ended december 31 2017 2016 is $ 98966 ; the beginning balance of year ended december 31 2017 is $ 85207 ;"], ["table_2", "2016 the expense ( benefit ) of year ended december 31 2017 2016 is 30445 ; the expense ( benefit ) of year ended december 31 2017 2016 is -2128 ( 2128 ) ; the expense ( benefit ) of year ended december 31 2017 is 13759 ;"], ["table_3", "2016 the ending balance of year ended december 31 2017 2016 is $ 127283 ; the ending balance of year ended december 31 2017 2016 is $ 96838 ; the ending balance of year ended december 31 2017 is $ 98966 ;"]]}, "answers": ["-2.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000633", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total value of repurchased shares during december 2012 , in millions?\nReference time interval: 2012-12-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "128.4.", "rejected": "78.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the total value of repurchased shares <TIME> , in millions?", "doc_prefix": "LMT", "base_question": "what is the total value of repurchased shares <TIME> , in millions?", "original_question": "what is the total value of repurchased shares during december 2012 , in millions?", "reference_time": {"start": "2012-12-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012-12", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"78.7": [{"start": "2012-10-01 00:00:00", "end": "2012-11-01 00:00:00", "normalized_text": "2012-10"}], "128.4": [{"start": "2012-12-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012-12"}]}, "chosen_source": {"id": "LMT/2012/page_29.pdf-2", "qa": {"question": "what is the total value of repurchased shares during december 2012 , in millions?", "answer": "128.4", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "1395288", "arg2": "92.02", "res": "128394401.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "128.4"}], "program": "multiply(1395288, 92.02), divide(#0, const_1000000)", "gold_inds": {"table_3": "period the november 26 2012 2013 december 31 2012 of total number of shares purchased is 1395288 ; the november 26 2012 2013 december 31 2012 of average price paid per share is 92.02 ; the november 26 2012 2013 december 31 2012 of total number of shares purchased as part of publicly announced program ( a ) is 1395288 ; the november 26 2012 2013 december 31 2012 of amount available for future share repurchases under the program ( b ) ( in millions ) is 2315 ;"}, "exe_ans": 128.3944, "tfidftopn": {"text_6": "as of december 31 , 2012 , we had repurchased a total of 54.3 million shares under the program for $ 4.2 billion. .", "text_2": "( a ) we repurchased a total of 3.1 million shares of our common stock for $ 286 million during the quarter ended december 31 , 2012 under a share repurchase program that we announced in october 2010 ."}, "program_re": "divide(multiply(1395288, 92.02), const_1000000)", "model_input": [["table_3", "period the november 26 2012 2013 december 31 2012 of total number of shares purchased is 1395288 ; the november 26 2012 2013 december 31 2012 of average price paid per share is 92.02 ; the november 26 2012 2013 december 31 2012 of total number of shares purchased as part of publicly announced program ( a ) is 1395288 ; the november 26 2012 2013 december 31 2012 of amount available for future share repurchases under the program ( b ) ( in millions ) is 2315 ;"], ["table_4", "period the total of total number of shares purchased is 3110706 ; the total of average price paid per share is $ 92.07 ; the total of total number of shares purchased as part of publicly announced program ( a ) is 3110706 ; the total of amount available for future share repurchases under the program ( b ) ( in millions ) is $ 2315 ;"], ["text_6", "as of december 31 , 2012 , we had repurchased a total of 54.3 million shares under the program for $ 4.2 billion. ."]]}, "answers": ["128.4"]}, "rejected_source": {"id": "LMT/2012/page_29.pdf-4", "qa": {"question": "what is the total value of repurchased shares during october 2012 , in millions?", "answer": "78.7", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "842445", "arg2": "93.38", "res": "78667514.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000000", "res": "78.7"}], "program": "multiply(842445, 93.38), divide(#0, const_1000000)", "gold_inds": {"table_1": "period the october 1 2012 2013 october 28 2012 of total number of shares purchased is 842445 ; the october 1 2012 2013 october 28 2012 of average price paid per share is $ 93.38 ; the october 1 2012 2013 october 28 2012 of total number of shares purchased as part of publicly announced program ( a ) is 842445 ; the october 1 2012 2013 october 28 2012 of amount available for future share repurchases under the program ( b ) ( in millions ) is $ 2522 ;"}, "exe_ans": 78.66751, "tfidftopn": {"text_6": "as of december 31 , 2012 , we had repurchased a total of 54.3 million shares under the program for $ 4.2 billion. .", "table_2": "period The october 29 2012 2013 november 25 2012 of total number of shares purchased is 872973 ; The october 29 2012 2013 november 25 2012 of average price paid per share is 90.86 ; The october 29 2012 2013 november 25 2012 of total number of shares purchased as part of publicly announced program ( a ) is 872973 ; The october 29 2012 2013 november 25 2012 of amount available for future share repurchases under the program ( b ) ( in millions ) is 2443 ;"}, "program_re": "divide(multiply(842445, 93.38), const_1000000)", "model_input": [["table_1", "period the october 1 2012 2013 october 28 2012 of total number of shares purchased is 842445 ; the october 1 2012 2013 october 28 2012 of average price paid per share is $ 93.38 ; the october 1 2012 2013 october 28 2012 of total number of shares purchased as part of publicly announced program ( a ) is 842445 ; the october 1 2012 2013 october 28 2012 of amount available for future share repurchases under the program ( b ) ( in millions ) is $ 2522 ;"], ["table_4", "period the total of total number of shares purchased is 3110706 ; the total of average price paid per share is $ 92.07 ; the total of total number of shares purchased as part of publicly announced program ( a ) is 3110706 ; the total of amount available for future share repurchases under the program ( b ) ( in millions ) is $ 2315 ;"], ["text_2", "( a ) we repurchased a total of 3.1 million shares of our common stock for $ 286 million during the quarter ended december 31 , 2012 under a share repurchase program that we announced in october 2010 ."]]}, "answers": ["78.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000634", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total value of repurchased shares during october 2012 , in millions?\nReference time interval: 2012-10-01 00:00:00 to 2012-11-01 00:00:00", "chosen": "78.7.", "rejected": "128.4.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the total value of repurchased shares <TIME> , in millions?", "doc_prefix": "LMT", "base_question": "what is the total value of repurchased shares <TIME> , in millions?", "original_question": "what is the total value of repurchased shares during october 2012 , in millions?", "reference_time": {"start": "2012-10-01 00:00:00", "end": "2012-11-01 00:00:00", "normalized_text": "2012-10", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"78.7": [{"start": "2012-10-01 00:00:00", "end": "2012-11-01 00:00:00", "normalized_text": "2012-10"}], "128.4": [{"start": "2012-12-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012-12"}]}, "chosen_source": {"id": "LMT/2012/page_29.pdf-4", "qa": {"question": "what is the total value of repurchased shares during october 2012 , in millions?", "answer": "78.7", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "842445", "arg2": "93.38", "res": "78667514.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000000", "res": "78.7"}], "program": "multiply(842445, 93.38), divide(#0, const_1000000)", "gold_inds": {"table_1": "period the october 1 2012 2013 october 28 2012 of total number of shares purchased is 842445 ; the october 1 2012 2013 october 28 2012 of average price paid per share is $ 93.38 ; the october 1 2012 2013 october 28 2012 of total number of shares purchased as part of publicly announced program ( a ) is 842445 ; the october 1 2012 2013 october 28 2012 of amount available for future share repurchases under the program ( b ) ( in millions ) is $ 2522 ;"}, "exe_ans": 78.66751, "tfidftopn": {"text_6": "as of december 31 , 2012 , we had repurchased a total of 54.3 million shares under the program for $ 4.2 billion. .", "table_2": "period The october 29 2012 2013 november 25 2012 of total number of shares purchased is 872973 ; The october 29 2012 2013 november 25 2012 of average price paid per share is 90.86 ; The october 29 2012 2013 november 25 2012 of total number of shares purchased as part of publicly announced program ( a ) is 872973 ; The october 29 2012 2013 november 25 2012 of amount available for future share repurchases under the program ( b ) ( in millions ) is 2443 ;"}, "program_re": "divide(multiply(842445, 93.38), const_1000000)", "model_input": [["table_1", "period the october 1 2012 2013 october 28 2012 of total number of shares purchased is 842445 ; the october 1 2012 2013 october 28 2012 of average price paid per share is $ 93.38 ; the october 1 2012 2013 october 28 2012 of total number of shares purchased as part of publicly announced program ( a ) is 842445 ; the october 1 2012 2013 october 28 2012 of amount available for future share repurchases under the program ( b ) ( in millions ) is $ 2522 ;"], ["table_4", "period the total of total number of shares purchased is 3110706 ; the total of average price paid per share is $ 92.07 ; the total of total number of shares purchased as part of publicly announced program ( a ) is 3110706 ; the total of amount available for future share repurchases under the program ( b ) ( in millions ) is $ 2315 ;"], ["text_2", "( a ) we repurchased a total of 3.1 million shares of our common stock for $ 286 million during the quarter ended december 31 , 2012 under a share repurchase program that we announced in october 2010 ."]]}, "answers": ["78.7"]}, "rejected_source": {"id": "LMT/2012/page_29.pdf-2", "qa": {"question": "what is the total value of repurchased shares during december 2012 , in millions?", "answer": "128.4", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "1395288", "arg2": "92.02", "res": "128394401.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "128.4"}], "program": "multiply(1395288, 92.02), divide(#0, const_1000000)", "gold_inds": {"table_3": "period the november 26 2012 2013 december 31 2012 of total number of shares purchased is 1395288 ; the november 26 2012 2013 december 31 2012 of average price paid per share is 92.02 ; the november 26 2012 2013 december 31 2012 of total number of shares purchased as part of publicly announced program ( a ) is 1395288 ; the november 26 2012 2013 december 31 2012 of amount available for future share repurchases under the program ( b ) ( in millions ) is 2315 ;"}, "exe_ans": 128.3944, "tfidftopn": {"text_6": "as of december 31 , 2012 , we had repurchased a total of 54.3 million shares under the program for $ 4.2 billion. .", "text_2": "( a ) we repurchased a total of 3.1 million shares of our common stock for $ 286 million during the quarter ended december 31 , 2012 under a share repurchase program that we announced in october 2010 ."}, "program_re": "divide(multiply(1395288, 92.02), const_1000000)", "model_input": [["table_3", "period the november 26 2012 2013 december 31 2012 of total number of shares purchased is 1395288 ; the november 26 2012 2013 december 31 2012 of average price paid per share is 92.02 ; the november 26 2012 2013 december 31 2012 of total number of shares purchased as part of publicly announced program ( a ) is 1395288 ; the november 26 2012 2013 december 31 2012 of amount available for future share repurchases under the program ( b ) ( in millions ) is 2315 ;"], ["table_4", "period the total of total number of shares purchased is 3110706 ; the total of average price paid per share is $ 92.07 ; the total of total number of shares purchased as part of publicly announced program ( a ) is 3110706 ; the total of amount available for future share repurchases under the program ( b ) ( in millions ) is $ 2315 ;"], ["text_6", "as of december 31 , 2012 , we had repurchased a total of 54.3 million shares under the program for $ 4.2 billion. ."]]}, "answers": ["128.4"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000635", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-6.4%.", "rejected": "9.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MS || what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap <TIME>?", "doc_prefix": "MS", "base_question": "what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap <TIME>?", "original_question": "what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6.4%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "9.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MS/2017/page_57.pdf-2", "qa": {"question": "what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap in 2015?", "answer": "-6.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "25.9", "arg2": "32.3", "res": "-6.4"}], "program": "subtract(25.9, 32.3)", "gold_inds": {"table_1": "the u.s . gaap of 2017 is 40.1% ( 40.1 % ) ; the u.s . gaap of 2016 is 30.8% ( 30.8 % ) ; the u.s . gaap of 2015 is 25.9% ( 25.9 % ) ;", "table_2": "the adjusted effective income taxrate 2014non-gaap1 of 2017 is 30.8% ( 30.8 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2016 is 31.6% ( 31.6 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2015 is 32.3% ( 32.3 % ) ;"}, "exe_ans": -6.4, "tfidftopn": {"text_4": "for 2015 , adjusted effective income tax rate also excludes dva ."}, "program_re": "subtract(25.9, 32.3)", "model_input": [["table_1", "the u.s . gaap of 2017 is 40.1% ( 40.1 % ) ; the u.s . gaap of 2016 is 30.8% ( 30.8 % ) ; the u.s . gaap of 2015 is 25.9% ( 25.9 % ) ;"], ["table_2", "the adjusted effective income taxrate 2014non-gaap1 of 2017 is 30.8% ( 30.8 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2016 is 31.6% ( 31.6 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2015 is 32.3% ( 32.3 % ) ;"], ["text_1", "adjusted effective income tax rate 2014 non-gaap1 30.8% ( 30.8 % ) 31.6% ( 31.6 % ) 32.3% ( 32.3 % ) 1 ."]]}, "answers": ["-6.4%"]}, "rejected_source": {"id": "MS/2017/page_57.pdf-1", "qa": {"question": "what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap in 2017?", "answer": "9.3%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "40.1", "arg2": "30.8", "res": "9.3"}], "program": "subtract(40.1, 30.8)", "gold_inds": {"table_1": "the u.s . gaap of 2017 is 40.1% ( 40.1 % ) ; the u.s . gaap of 2016 is 30.8% ( 30.8 % ) ; the u.s . gaap of 2015 is 25.9% ( 25.9 % ) ;", "table_2": "the adjusted effective income taxrate 2014non-gaap1 of 2017 is 30.8% ( 30.8 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2016 is 31.6% ( 31.6 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2015 is 32.3% ( 32.3 % ) ;"}, "exe_ans": 9.3, "tfidftopn": {"text_5": "for further information on non-gaap measures , see 201cselected non-gaap financial information 201d herein ."}, "program_re": "subtract(40.1, 30.8)", "model_input": [["table_1", "the u.s . gaap of 2017 is 40.1% ( 40.1 % ) ; the u.s . gaap of 2016 is 30.8% ( 30.8 % ) ; the u.s . gaap of 2015 is 25.9% ( 25.9 % ) ;"], ["table_2", "the adjusted effective income taxrate 2014non-gaap1 of 2017 is 30.8% ( 30.8 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2016 is 31.6% ( 31.6 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2015 is 32.3% ( 32.3 % ) ;"], ["text_1", "adjusted effective income tax rate 2014 non-gaap1 30.8% ( 30.8 % ) 31.6% ( 31.6 % ) 32.3% ( 32.3 % ) 1 ."]]}, "answers": ["9.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000636", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "9.3%.", "rejected": "-6.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MS || what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap <TIME>?", "doc_prefix": "MS", "base_question": "what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap <TIME>?", "original_question": "what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6.4%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "9.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MS/2017/page_57.pdf-1", "qa": {"question": "what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap in 2017?", "answer": "9.3%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "40.1", "arg2": "30.8", "res": "9.3"}], "program": "subtract(40.1, 30.8)", "gold_inds": {"table_1": "the u.s . gaap of 2017 is 40.1% ( 40.1 % ) ; the u.s . gaap of 2016 is 30.8% ( 30.8 % ) ; the u.s . gaap of 2015 is 25.9% ( 25.9 % ) ;", "table_2": "the adjusted effective income taxrate 2014non-gaap1 of 2017 is 30.8% ( 30.8 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2016 is 31.6% ( 31.6 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2015 is 32.3% ( 32.3 % ) ;"}, "exe_ans": 9.3, "tfidftopn": {"text_5": "for further information on non-gaap measures , see 201cselected non-gaap financial information 201d herein ."}, "program_re": "subtract(40.1, 30.8)", "model_input": [["table_1", "the u.s . gaap of 2017 is 40.1% ( 40.1 % ) ; the u.s . gaap of 2016 is 30.8% ( 30.8 % ) ; the u.s . gaap of 2015 is 25.9% ( 25.9 % ) ;"], ["table_2", "the adjusted effective income taxrate 2014non-gaap1 of 2017 is 30.8% ( 30.8 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2016 is 31.6% ( 31.6 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2015 is 32.3% ( 32.3 % ) ;"], ["text_1", "adjusted effective income tax rate 2014 non-gaap1 30.8% ( 30.8 % ) 31.6% ( 31.6 % ) 32.3% ( 32.3 % ) 1 ."]]}, "answers": ["9.3%"]}, "rejected_source": {"id": "MS/2017/page_57.pdf-2", "qa": {"question": "what is the difference between u.s . gaap and adjusted effective income tax rate 2014non-gaap in 2015?", "answer": "-6.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "25.9", "arg2": "32.3", "res": "-6.4"}], "program": "subtract(25.9, 32.3)", "gold_inds": {"table_1": "the u.s . gaap of 2017 is 40.1% ( 40.1 % ) ; the u.s . gaap of 2016 is 30.8% ( 30.8 % ) ; the u.s . gaap of 2015 is 25.9% ( 25.9 % ) ;", "table_2": "the adjusted effective income taxrate 2014non-gaap1 of 2017 is 30.8% ( 30.8 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2016 is 31.6% ( 31.6 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2015 is 32.3% ( 32.3 % ) ;"}, "exe_ans": -6.4, "tfidftopn": {"text_4": "for 2015 , adjusted effective income tax rate also excludes dva ."}, "program_re": "subtract(25.9, 32.3)", "model_input": [["table_1", "the u.s . gaap of 2017 is 40.1% ( 40.1 % ) ; the u.s . gaap of 2016 is 30.8% ( 30.8 % ) ; the u.s . gaap of 2015 is 25.9% ( 25.9 % ) ;"], ["table_2", "the adjusted effective income taxrate 2014non-gaap1 of 2017 is 30.8% ( 30.8 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2016 is 31.6% ( 31.6 % ) ; the adjusted effective income taxrate 2014non-gaap1 of 2015 is 32.3% ( 32.3 % ) ;"], ["text_1", "adjusted effective income tax rate 2014 non-gaap1 30.8% ( 30.8 % ) 31.6% ( 31.6 % ) 32.3% ( 32.3 % ) 1 ."]]}, "answers": ["-6.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000637", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total revenue was bayer healthcare in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "14%.", "rejected": "18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "REGN || what percentage of total revenue was bayer healthcare <TIME>?", "doc_prefix": "REGN", "base_question": "what percentage of total revenue was bayer healthcare <TIME>?", "original_question": "what percentage of total revenue was bayer healthcare in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "18%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "REGN/2010/page_68.pdf-1", "qa": {"question": "what percentage of total revenue was bayer healthcare in 2008?", "answer": "14%", "explanation": "", "ann_table_rows": [3, 8], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "31.2", "arg2": "238.5", "res": "14%"}], "program": "divide(31.2, 238.5)", "gold_inds": {"table_3": "( in millions ) the bayer healthcare of 2009 is 67.3 ; the bayer healthcare of 2008 is 31.2 ;", "table_8": "( in millions ) the total revenue of 2009 is $ 379.3 ; the total revenue of 2008 is $ 238.5 ;"}, "exe_ans": 0.13082, "tfidftopn": {"table_4": "( in millions ) The total collaboration revenue of 2009 is 314.5 ; The total collaboration revenue of 2008 is 185.2 ;"}, "program_re": "divide(31.2, 238.5)", "model_input": [["table_3", "( in millions ) the bayer healthcare of 2009 is 67.3 ; the bayer healthcare of 2008 is 31.2 ;"], ["table_4", "( in millions ) the total collaboration revenue of 2009 is 314.5 ; the total collaboration revenue of 2008 is 185.2 ;"], ["table_8", "( in millions ) the total revenue of 2009 is $ 379.3 ; the total revenue of 2008 is $ 238.5 ;"]]}, "answers": ["14%"]}, "rejected_source": {"id": "REGN/2010/page_68.pdf-2", "qa": {"question": "what percentage of total revenue was bayer healthcare in 2009?", "answer": "18%", "explanation": "", "ann_table_rows": [3, 8], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "67.3", "arg2": "379.3", "res": "18%"}], "program": "divide(67.3, 379.3)", "gold_inds": {"table_3": "( in millions ) the bayer healthcare of 2009 is 67.3 ; the bayer healthcare of 2008 is 31.2 ;", "table_8": "( in millions ) the total revenue of 2009 is $ 379.3 ; the total revenue of 2008 is $ 238.5 ;"}, "exe_ans": 0.17743, "tfidftopn": {"table_4": "( in millions ) The total collaboration revenue of 2009 is 314.5 ; The total collaboration revenue of 2008 is 185.2 ;"}, "program_re": "divide(67.3, 379.3)", "model_input": [["table_3", "( in millions ) the bayer healthcare of 2009 is 67.3 ; the bayer healthcare of 2008 is 31.2 ;"], ["table_4", "( in millions ) the total collaboration revenue of 2009 is 314.5 ; the total collaboration revenue of 2008 is 185.2 ;"], ["table_8", "( in millions ) the total revenue of 2009 is $ 379.3 ; the total revenue of 2008 is $ 238.5 ;"]]}, "answers": ["18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000638", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total revenue was bayer healthcare in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "18%.", "rejected": "14%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "REGN || what percentage of total revenue was bayer healthcare <TIME>?", "doc_prefix": "REGN", "base_question": "what percentage of total revenue was bayer healthcare <TIME>?", "original_question": "what percentage of total revenue was bayer healthcare in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "18%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "REGN/2010/page_68.pdf-2", "qa": {"question": "what percentage of total revenue was bayer healthcare in 2009?", "answer": "18%", "explanation": "", "ann_table_rows": [3, 8], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "67.3", "arg2": "379.3", "res": "18%"}], "program": "divide(67.3, 379.3)", "gold_inds": {"table_3": "( in millions ) the bayer healthcare of 2009 is 67.3 ; the bayer healthcare of 2008 is 31.2 ;", "table_8": "( in millions ) the total revenue of 2009 is $ 379.3 ; the total revenue of 2008 is $ 238.5 ;"}, "exe_ans": 0.17743, "tfidftopn": {"table_4": "( in millions ) The total collaboration revenue of 2009 is 314.5 ; The total collaboration revenue of 2008 is 185.2 ;"}, "program_re": "divide(67.3, 379.3)", "model_input": [["table_3", "( in millions ) the bayer healthcare of 2009 is 67.3 ; the bayer healthcare of 2008 is 31.2 ;"], ["table_4", "( in millions ) the total collaboration revenue of 2009 is 314.5 ; the total collaboration revenue of 2008 is 185.2 ;"], ["table_8", "( in millions ) the total revenue of 2009 is $ 379.3 ; the total revenue of 2008 is $ 238.5 ;"]]}, "answers": ["18%"]}, "rejected_source": {"id": "REGN/2010/page_68.pdf-1", "qa": {"question": "what percentage of total revenue was bayer healthcare in 2008?", "answer": "14%", "explanation": "", "ann_table_rows": [3, 8], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "31.2", "arg2": "238.5", "res": "14%"}], "program": "divide(31.2, 238.5)", "gold_inds": {"table_3": "( in millions ) the bayer healthcare of 2009 is 67.3 ; the bayer healthcare of 2008 is 31.2 ;", "table_8": "( in millions ) the total revenue of 2009 is $ 379.3 ; the total revenue of 2008 is $ 238.5 ;"}, "exe_ans": 0.13082, "tfidftopn": {"table_4": "( in millions ) The total collaboration revenue of 2009 is 314.5 ; The total collaboration revenue of 2008 is 185.2 ;"}, "program_re": "divide(31.2, 238.5)", "model_input": [["table_3", "( in millions ) the bayer healthcare of 2009 is 67.3 ; the bayer healthcare of 2008 is 31.2 ;"], ["table_4", "( in millions ) the total collaboration revenue of 2009 is 314.5 ; the total collaboration revenue of 2008 is 185.2 ;"], ["table_8", "( in millions ) the total revenue of 2009 is $ 379.3 ; the total revenue of 2008 is $ 238.5 ;"]]}, "answers": ["14%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000639", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in devon 2019s level 3 plan assets from 2009 to 2010\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "13.7%.", "rejected": "55%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DVN || what was the percentage change in devon 2019s level 3 plan assets <TIME>", "doc_prefix": "DVN", "base_question": "what was the percentage change in devon 2019s level 3 plan assets <TIME>", "original_question": "what was the percentage change in devon 2019s level 3 plan assets from 2009 to 2010", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13.7%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "55%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "DVN/2011/page_84.pdf-1", "qa": {"question": "what was the percentage change in devon 2019s level 3 plan assets from 2009 to 2010", "answer": "13.7%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "58", "arg2": "51", "res": "7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "51", "res": "13.7%"}], "program": "subtract(58, 51), divide(#0, 51)", "gold_inds": {"table_1": "december 31 2009 the purchases of $ 51 is 3 ;", "table_3": "december 31 2009 the december 31 2010 of $ 51 is 58 ;"}, "exe_ans": 0.13725, "tfidftopn": {"text_25": "included below is a summary of the changes in devon 2019s level 3 plan assets ( in millions ) . ."}, "program_re": "divide(subtract(58, 51), 51)", "model_input": [["table_0", "december 31 2009 the december 31 2009 of $ 51 is $ 51 ;"], ["table_1", "december 31 2009 the purchases of $ 51 is 3 ;"], ["table_3", "december 31 2009 the december 31 2010 of $ 51 is 58 ;"]]}, "answers": ["13.7%"]}, "rejected_source": {"id": "DVN/2011/page_84.pdf-2", "qa": {"question": "what was the percentage change in devon 2019s level 3 plan assets from 2010 to 2011", "answer": "55%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "90", "arg2": "58", "res": "32"}, {"op": "divide2-2", "arg1": "#0", "arg2": "58", "res": "55%"}], "program": "subtract(90, 58), divide(#0, 58)", "gold_inds": {"table_6": "december 31 2009 the december 31 2011 of $ 51 is $ 90 ;", "table_3": "december 31 2009 the december 31 2010 of $ 51 is 58 ;"}, "exe_ans": 0.55172, "tfidftopn": {"text_25": "included below is a summary of the changes in devon 2019s level 3 plan assets ( in millions ) . ."}, "program_re": "divide(subtract(90, 58), 58)", "model_input": [["table_1", "december 31 2009 the purchases of $ 51 is 3 ;"], ["table_3", "december 31 2009 the december 31 2010 of $ 51 is 58 ;"], ["table_6", "december 31 2009 the december 31 2011 of $ 51 is $ 90 ;"]]}, "answers": ["55%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000640", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in devon 2019s level 3 plan assets from 2010 to 2011\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "55%.", "rejected": "13.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DVN || what was the percentage change in devon 2019s level 3 plan assets <TIME>", "doc_prefix": "DVN", "base_question": "what was the percentage change in devon 2019s level 3 plan assets <TIME>", "original_question": "what was the percentage change in devon 2019s level 3 plan assets from 2010 to 2011", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13.7%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "55%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "DVN/2011/page_84.pdf-2", "qa": {"question": "what was the percentage change in devon 2019s level 3 plan assets from 2010 to 2011", "answer": "55%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "90", "arg2": "58", "res": "32"}, {"op": "divide2-2", "arg1": "#0", "arg2": "58", "res": "55%"}], "program": "subtract(90, 58), divide(#0, 58)", "gold_inds": {"table_6": "december 31 2009 the december 31 2011 of $ 51 is $ 90 ;", "table_3": "december 31 2009 the december 31 2010 of $ 51 is 58 ;"}, "exe_ans": 0.55172, "tfidftopn": {"text_25": "included below is a summary of the changes in devon 2019s level 3 plan assets ( in millions ) . ."}, "program_re": "divide(subtract(90, 58), 58)", "model_input": [["table_1", "december 31 2009 the purchases of $ 51 is 3 ;"], ["table_3", "december 31 2009 the december 31 2010 of $ 51 is 58 ;"], ["table_6", "december 31 2009 the december 31 2011 of $ 51 is $ 90 ;"]]}, "answers": ["55%"]}, "rejected_source": {"id": "DVN/2011/page_84.pdf-1", "qa": {"question": "what was the percentage change in devon 2019s level 3 plan assets from 2009 to 2010", "answer": "13.7%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "58", "arg2": "51", "res": "7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "51", "res": "13.7%"}], "program": "subtract(58, 51), divide(#0, 51)", "gold_inds": {"table_1": "december 31 2009 the purchases of $ 51 is 3 ;", "table_3": "december 31 2009 the december 31 2010 of $ 51 is 58 ;"}, "exe_ans": 0.13725, "tfidftopn": {"text_25": "included below is a summary of the changes in devon 2019s level 3 plan assets ( in millions ) . ."}, "program_re": "divide(subtract(58, 51), 51)", "model_input": [["table_0", "december 31 2009 the december 31 2009 of $ 51 is $ 51 ;"], ["table_1", "december 31 2009 the purchases of $ 51 is 3 ;"], ["table_3", "december 31 2009 the december 31 2010 of $ 51 is 58 ;"]]}, "answers": ["13.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000641", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "48%.", "rejected": "56%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution <TIME>?", "original_question": "what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"56%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "48%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "GS/2015/page_74.pdf-4", "qa": {"question": "what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution in 2015?", "answer": "48%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "7322", "arg2": "15151", "res": "48%"}], "program": "divide(7322, 15151)", "gold_inds": {"table_1": "$ in millions the fixed income currency and commodities client execution of year ended december 2015 is $ 7322 ; the fixed income currency and commodities client execution of year ended december 2014 is $ 8461 ; the fixed income currency and commodities client execution of year ended december 2013 is $ 8651 ;", "table_6": "$ in millions the total net revenues of year ended december 2015 is 15151 ; the total net revenues of year ended december 2014 is 15197 ; the total net revenues of year ended december 2013 is 15721 ;"}, "exe_ans": 0.48327, "tfidftopn": {"text_10": "net revenues in fixed income , currency and commodities client execution were $ 7.32 billion for 2015 , 13% ( 13 % ) lower than 2014 ."}, "program_re": "divide(7322, 15151)", "model_input": [["table_1", "$ in millions the fixed income currency and commodities client execution of year ended december 2015 is $ 7322 ; the fixed income currency and commodities client execution of year ended december 2014 is $ 8461 ; the fixed income currency and commodities client execution of year ended december 2013 is $ 8651 ;"], ["table_5", "$ in millions the total equities of year ended december 2015 is 7829 ; the total equities of year ended december 2014 is 6736 ; the total equities of year ended december 2013 is 7070 ;"], ["table_6", "$ in millions the total net revenues of year ended december 2015 is 15151 ; the total net revenues of year ended december 2014 is 15197 ; the total net revenues of year ended december 2013 is 15721 ;"]]}, "answers": ["48%"]}, "rejected_source": {"id": "GS/2015/page_74.pdf-2", "qa": {"question": "what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution in 2014?", "answer": "56%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "8461", "arg2": "15197", "res": "56%"}], "program": "divide(8461, 15197)", "gold_inds": {"table_1": "$ in millions the fixed income currency and commodities client execution of year ended december 2015 is $ 7322 ; the fixed income currency and commodities client execution of year ended december 2014 is $ 8461 ; the fixed income currency and commodities client execution of year ended december 2013 is $ 8651 ;", "table_6": "$ in millions the total net revenues of year ended december 2015 is 15151 ; the total net revenues of year ended december 2014 is 15197 ; the total net revenues of year ended december 2013 is 15721 ;"}, "exe_ans": 0.55675, "tfidftopn": {"text_10": "net revenues in fixed income , currency and commodities client execution were $ 7.32 billion for 2015 , 13% ( 13 % ) lower than 2014 ."}, "program_re": "divide(8461, 15197)", "model_input": [["table_1", "$ in millions the fixed income currency and commodities client execution of year ended december 2015 is $ 7322 ; the fixed income currency and commodities client execution of year ended december 2014 is $ 8461 ; the fixed income currency and commodities client execution of year ended december 2013 is $ 8651 ;"], ["table_5", "$ in millions the total equities of year ended december 2015 is 7829 ; the total equities of year ended december 2014 is 6736 ; the total equities of year ended december 2013 is 7070 ;"], ["table_6", "$ in millions the total net revenues of year ended december 2015 is 15151 ; the total net revenues of year ended december 2014 is 15197 ; the total net revenues of year ended december 2013 is 15721 ;"]]}, "answers": ["56%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000642", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "56%.", "rejected": "48%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution <TIME>?", "original_question": "what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"56%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "48%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "GS/2015/page_74.pdf-2", "qa": {"question": "what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution in 2014?", "answer": "56%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "8461", "arg2": "15197", "res": "56%"}], "program": "divide(8461, 15197)", "gold_inds": {"table_1": "$ in millions the fixed income currency and commodities client execution of year ended december 2015 is $ 7322 ; the fixed income currency and commodities client execution of year ended december 2014 is $ 8461 ; the fixed income currency and commodities client execution of year ended december 2013 is $ 8651 ;", "table_6": "$ in millions the total net revenues of year ended december 2015 is 15151 ; the total net revenues of year ended december 2014 is 15197 ; the total net revenues of year ended december 2013 is 15721 ;"}, "exe_ans": 0.55675, "tfidftopn": {"text_10": "net revenues in fixed income , currency and commodities client execution were $ 7.32 billion for 2015 , 13% ( 13 % ) lower than 2014 ."}, "program_re": "divide(8461, 15197)", "model_input": [["table_1", "$ in millions the fixed income currency and commodities client execution of year ended december 2015 is $ 7322 ; the fixed income currency and commodities client execution of year ended december 2014 is $ 8461 ; the fixed income currency and commodities client execution of year ended december 2013 is $ 8651 ;"], ["table_5", "$ in millions the total equities of year ended december 2015 is 7829 ; the total equities of year ended december 2014 is 6736 ; the total equities of year ended december 2013 is 7070 ;"], ["table_6", "$ in millions the total net revenues of year ended december 2015 is 15151 ; the total net revenues of year ended december 2014 is 15197 ; the total net revenues of year ended december 2013 is 15721 ;"]]}, "answers": ["56%"]}, "rejected_source": {"id": "GS/2015/page_74.pdf-4", "qa": {"question": "what percentage of total net revenues in the institutional client services segment was due to fixed income currency and commodities client execution in 2015?", "answer": "48%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "7322", "arg2": "15151", "res": "48%"}], "program": "divide(7322, 15151)", "gold_inds": {"table_1": "$ in millions the fixed income currency and commodities client execution of year ended december 2015 is $ 7322 ; the fixed income currency and commodities client execution of year ended december 2014 is $ 8461 ; the fixed income currency and commodities client execution of year ended december 2013 is $ 8651 ;", "table_6": "$ in millions the total net revenues of year ended december 2015 is 15151 ; the total net revenues of year ended december 2014 is 15197 ; the total net revenues of year ended december 2013 is 15721 ;"}, "exe_ans": 0.48327, "tfidftopn": {"text_10": "net revenues in fixed income , currency and commodities client execution were $ 7.32 billion for 2015 , 13% ( 13 % ) lower than 2014 ."}, "program_re": "divide(7322, 15151)", "model_input": [["table_1", "$ in millions the fixed income currency and commodities client execution of year ended december 2015 is $ 7322 ; the fixed income currency and commodities client execution of year ended december 2014 is $ 8461 ; the fixed income currency and commodities client execution of year ended december 2013 is $ 8651 ;"], ["table_5", "$ in millions the total equities of year ended december 2015 is 7829 ; the total equities of year ended december 2014 is 6736 ; the total equities of year ended december 2013 is 7070 ;"], ["table_6", "$ in millions the total net revenues of year ended december 2015 is 15151 ; the total net revenues of year ended december 2014 is 15197 ; the total net revenues of year ended december 2013 is 15721 ;"]]}, "answers": ["48%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000643", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total value of non-vested shares as of may 31 , 2008 , ( in millions ) ?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "20.2.", "rejected": "32.0.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what is the total value of non-vested shares as of may 31 , <TIME> , ( in millions ) ?", "doc_prefix": "GPN", "base_question": "what is the total value of non-vested shares as of may 31 , <TIME> , ( in millions ) ?", "original_question": "what is the total value of non-vested shares as of may 31 , 2008 , ( in millions ) ?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20.2": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "32.0": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "GPN/2009/page_85.pdf-2", "qa": {"question": "what is the total value of non-vested shares as of may 31 , 2008 , ( in millions ) ?", "answer": "20.2", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "518", "arg2": "39", "res": "20202"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000", "res": "20.2"}], "program": "multiply(518, 39), divide(#0, const_1000)", "gold_inds": {"table_5": "the non-vested at may 31 2008 of share awards is 518 ; the non-vested at may 31 2008 of weighted average grant-date fair value is 39 ;"}, "exe_ans": 20.202, "tfidftopn": {"table_9": "The non-vested at may 31 2009 of share awards is 762 ; The non-vested at may 31 2009 of weighted average grant-date fair value is 42 ;", "table_1": "The non-vested at may 31 2007 of share awards is 278 ; The non-vested at may 31 2007 of weighted average grant-date fair value is $ 37 ;"}, "program_re": "divide(multiply(518, 39), const_1000)", "model_input": [["table_1", "the non-vested at may 31 2007 of share awards is 278 ; the non-vested at may 31 2007 of weighted average grant-date fair value is $ 37 ;"], ["table_5", "the non-vested at may 31 2008 of share awards is 518 ; the non-vested at may 31 2008 of weighted average grant-date fair value is 39 ;"], ["table_9", "the non-vested at may 31 2009 of share awards is 762 ; the non-vested at may 31 2009 of weighted average grant-date fair value is 42 ;"]]}, "answers": ["20.2"]}, "rejected_source": {"id": "GPN/2009/page_85.pdf-1", "qa": {"question": "what is the total value of non-vested shares as of may 31 , 2009 , ( in millions ) ?", "answer": "32.0", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "762", "arg2": "42", "res": "32004"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000", "res": "32.0"}], "program": "multiply(762, 42), divide(#0, const_1000)", "gold_inds": {"table_9": "the non-vested at may 31 2009 of share awards is 762 ; the non-vested at may 31 2009 of weighted average grant-date fair value is 42 ;"}, "exe_ans": 32.004, "tfidftopn": {"table_5": "The non-vested at may 31 2008 of share awards is 518 ; The non-vested at may 31 2008 of weighted average grant-date fair value is 39 ;", "table_1": "The non-vested at may 31 2007 of share awards is 278 ; The non-vested at may 31 2007 of weighted average grant-date fair value is $ 37 ;"}, "program_re": "divide(multiply(762, 42), const_1000)", "model_input": [["table_1", "the non-vested at may 31 2007 of share awards is 278 ; the non-vested at may 31 2007 of weighted average grant-date fair value is $ 37 ;"], ["table_5", "the non-vested at may 31 2008 of share awards is 518 ; the non-vested at may 31 2008 of weighted average grant-date fair value is 39 ;"], ["table_9", "the non-vested at may 31 2009 of share awards is 762 ; the non-vested at may 31 2009 of weighted average grant-date fair value is 42 ;"]]}, "answers": ["32.0"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000644", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total value of non-vested shares as of may 31 , 2009 , ( in millions ) ?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "32.0.", "rejected": "20.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what is the total value of non-vested shares as of may 31 , <TIME> , ( in millions ) ?", "doc_prefix": "GPN", "base_question": "what is the total value of non-vested shares as of may 31 , <TIME> , ( in millions ) ?", "original_question": "what is the total value of non-vested shares as of may 31 , 2009 , ( in millions ) ?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20.2": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "32.0": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "GPN/2009/page_85.pdf-1", "qa": {"question": "what is the total value of non-vested shares as of may 31 , 2009 , ( in millions ) ?", "answer": "32.0", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "762", "arg2": "42", "res": "32004"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000", "res": "32.0"}], "program": "multiply(762, 42), divide(#0, const_1000)", "gold_inds": {"table_9": "the non-vested at may 31 2009 of share awards is 762 ; the non-vested at may 31 2009 of weighted average grant-date fair value is 42 ;"}, "exe_ans": 32.004, "tfidftopn": {"table_5": "The non-vested at may 31 2008 of share awards is 518 ; The non-vested at may 31 2008 of weighted average grant-date fair value is 39 ;", "table_1": "The non-vested at may 31 2007 of share awards is 278 ; The non-vested at may 31 2007 of weighted average grant-date fair value is $ 37 ;"}, "program_re": "divide(multiply(762, 42), const_1000)", "model_input": [["table_1", "the non-vested at may 31 2007 of share awards is 278 ; the non-vested at may 31 2007 of weighted average grant-date fair value is $ 37 ;"], ["table_5", "the non-vested at may 31 2008 of share awards is 518 ; the non-vested at may 31 2008 of weighted average grant-date fair value is 39 ;"], ["table_9", "the non-vested at may 31 2009 of share awards is 762 ; the non-vested at may 31 2009 of weighted average grant-date fair value is 42 ;"]]}, "answers": ["32.0"]}, "rejected_source": {"id": "GPN/2009/page_85.pdf-2", "qa": {"question": "what is the total value of non-vested shares as of may 31 , 2008 , ( in millions ) ?", "answer": "20.2", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "518", "arg2": "39", "res": "20202"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000", "res": "20.2"}], "program": "multiply(518, 39), divide(#0, const_1000)", "gold_inds": {"table_5": "the non-vested at may 31 2008 of share awards is 518 ; the non-vested at may 31 2008 of weighted average grant-date fair value is 39 ;"}, "exe_ans": 20.202, "tfidftopn": {"table_9": "The non-vested at may 31 2009 of share awards is 762 ; The non-vested at may 31 2009 of weighted average grant-date fair value is 42 ;", "table_1": "The non-vested at may 31 2007 of share awards is 278 ; The non-vested at may 31 2007 of weighted average grant-date fair value is $ 37 ;"}, "program_re": "divide(multiply(518, 39), const_1000)", "model_input": [["table_1", "the non-vested at may 31 2007 of share awards is 278 ; the non-vested at may 31 2007 of weighted average grant-date fair value is $ 37 ;"], ["table_5", "the non-vested at may 31 2008 of share awards is 518 ; the non-vested at may 31 2008 of weighted average grant-date fair value is 39 ;"], ["table_9", "the non-vested at may 31 2009 of share awards is 762 ; the non-vested at may 31 2009 of weighted average grant-date fair value is 42 ;"]]}, "answers": ["20.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000645", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in pre-tax earnings in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-34.7%.", "rejected": "11.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in pre-tax earnings <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in pre-tax earnings <TIME>?", "original_question": "what is the growth rate in pre-tax earnings in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-34.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "11.3%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2012/page_56.pdf-3", "qa": {"question": "what is the growth rate in pre-tax earnings in 2011?", "answer": "-34.7%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4443", "arg2": "6802", "res": "-2359"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6802", "res": "-34.7%"}], "program": "subtract(4443, 6802), divide(#0, 6802)", "gold_inds": {"table_8": "in millions the pre-tax earnings of year ended december 2012 is $ 5644 ; the pre-tax earnings of year ended december 2011 is $ 4443 ; the pre-tax earnings of year ended december 2010 is $ 6802 ;"}, "exe_ans": -0.34681, "tfidftopn": {"text_25": "pre-tax earnings were $ 5.64 billion in 2012 , 27% ( 27 % ) higher than 2011 .", "text_7": "in addition , net revenues in credit products and interest rate products were solid and higher compared with 2011 ."}, "program_re": "divide(subtract(4443, 6802), 6802)", "model_input": [["text_0", "management 2019s discussion and analysis the table below presents the operating results of our institutional client services segment. ."], ["table_8", "in millions the pre-tax earnings of year ended december 2012 is $ 5644 ; the pre-tax earnings of year ended december 2011 is $ 4443 ; the pre-tax earnings of year ended december 2010 is $ 6802 ;"], ["text_25", "pre-tax earnings were $ 5.64 billion in 2012 , 27% ( 27 % ) higher than 2011 ."]]}, "answers": ["-34.7%"]}, "rejected_source": {"id": "GS/2018/page_76.pdf-4", "qa": {"question": "what is the growth rate in pre-tax earnings in 2018?", "answer": "11.3%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4211", "arg2": "3785", "res": "426"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3785", "res": "11.3%"}], "program": "subtract(4211, 3785), divide(#0, 3785)", "gold_inds": {"table_6": "$ in millions the pre-taxearnings of year ended december 2018 is $ 4211 ; the pre-taxearnings of year ended december 2017 is $ 3785 ; the pre-taxearnings of year ended december 2016 is $ 1694 ;"}, "exe_ans": 0.11255, "tfidftopn": {"text_28": "pre-tax earnings were $ 4.21 billion in 2018 , 11% ( 11 % ) higher than 2017 versus 2016 .", "text_7": "pre-tax earnings were $ 2.21 billion in 2017 , 54% ( 54 % ) lower than 2016 ."}, "program_re": "divide(subtract(4211, 3785), 3785)", "model_input": [["text_7", "pre-tax earnings were $ 2.21 billion in 2017 , 54% ( 54 % ) lower than 2016 ."], ["table_6", "$ in millions the pre-taxearnings of year ended december 2018 is $ 4211 ; the pre-taxearnings of year ended december 2017 is $ 3785 ; the pre-taxearnings of year ended december 2016 is $ 1694 ;"], ["text_28", "pre-tax earnings were $ 4.21 billion in 2018 , 11% ( 11 % ) higher than 2017 versus 2016 ."]]}, "answers": ["11.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000646", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in pre-tax earnings in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "11.3%.", "rejected": "-34.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in pre-tax earnings <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in pre-tax earnings <TIME>?", "original_question": "what is the growth rate in pre-tax earnings in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-34.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "11.3%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_76.pdf-4", "qa": {"question": "what is the growth rate in pre-tax earnings in 2018?", "answer": "11.3%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4211", "arg2": "3785", "res": "426"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3785", "res": "11.3%"}], "program": "subtract(4211, 3785), divide(#0, 3785)", "gold_inds": {"table_6": "$ in millions the pre-taxearnings of year ended december 2018 is $ 4211 ; the pre-taxearnings of year ended december 2017 is $ 3785 ; the pre-taxearnings of year ended december 2016 is $ 1694 ;"}, "exe_ans": 0.11255, "tfidftopn": {"text_28": "pre-tax earnings were $ 4.21 billion in 2018 , 11% ( 11 % ) higher than 2017 versus 2016 .", "text_7": "pre-tax earnings were $ 2.21 billion in 2017 , 54% ( 54 % ) lower than 2016 ."}, "program_re": "divide(subtract(4211, 3785), 3785)", "model_input": [["text_7", "pre-tax earnings were $ 2.21 billion in 2017 , 54% ( 54 % ) lower than 2016 ."], ["table_6", "$ in millions the pre-taxearnings of year ended december 2018 is $ 4211 ; the pre-taxearnings of year ended december 2017 is $ 3785 ; the pre-taxearnings of year ended december 2016 is $ 1694 ;"], ["text_28", "pre-tax earnings were $ 4.21 billion in 2018 , 11% ( 11 % ) higher than 2017 versus 2016 ."]]}, "answers": ["11.3%"]}, "rejected_source": {"id": "GS/2012/page_56.pdf-3", "qa": {"question": "what is the growth rate in pre-tax earnings in 2011?", "answer": "-34.7%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4443", "arg2": "6802", "res": "-2359"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6802", "res": "-34.7%"}], "program": "subtract(4443, 6802), divide(#0, 6802)", "gold_inds": {"table_8": "in millions the pre-tax earnings of year ended december 2012 is $ 5644 ; the pre-tax earnings of year ended december 2011 is $ 4443 ; the pre-tax earnings of year ended december 2010 is $ 6802 ;"}, "exe_ans": -0.34681, "tfidftopn": {"text_25": "pre-tax earnings were $ 5.64 billion in 2012 , 27% ( 27 % ) higher than 2011 .", "text_7": "in addition , net revenues in credit products and interest rate products were solid and higher compared with 2011 ."}, "program_re": "divide(subtract(4443, 6802), 6802)", "model_input": [["text_0", "management 2019s discussion and analysis the table below presents the operating results of our institutional client services segment. ."], ["table_8", "in millions the pre-tax earnings of year ended december 2012 is $ 5644 ; the pre-tax earnings of year ended december 2011 is $ 4443 ; the pre-tax earnings of year ended december 2010 is $ 6802 ;"], ["text_25", "pre-tax earnings were $ 5.64 billion in 2012 , 27% ( 27 % ) higher than 2011 ."]]}, "answers": ["-34.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000647", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in research and development expense from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-34.5%.", "rejected": "-7.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the percentage change in research and development expense <TIME>?", "doc_prefix": "CE", "base_question": "what is the percentage change in research and development expense <TIME>?", "original_question": "what is the percentage change in research and development expense from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-34.5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-7.7%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "CE/2017/page_20.pdf-4", "qa": {"question": "what is the percentage change in research and development expense from 2015 to 2016?", "answer": "-34.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus2-1", "arg1": "78", "arg2": "119", "res": "-41"}, {"op": "divide2-2", "arg1": "#0", "arg2": "119", "res": "-34.5%"}], "program": "subtract(78, 119), divide(#0, 119)", "gold_inds": {"text_9": "research and development expense was $ 72 million , $ 78 million and $ 119 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": -0.34454, "tfidftopn": {"text_8": "research and development our business models leverage innovation and conduct research and development activities to develop new , and optimize existing , production technologies , as well as to develop commercially viable new products and applications .", "text_10": "we consider the amounts spent during each of the last three fiscal years on research and development activities to be sufficient to execute our current strategic initiatives ."}, "program_re": "divide(subtract(78, 119), 119)", "model_input": [["text_9", "research and development expense was $ 72 million , $ 78 million and $ 119 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_10", "we consider the amounts spent during each of the last three fiscal years on research and development activities to be sufficient to execute our current strategic initiatives ."], ["text_22", "the foregoing is not intended to be an exhaustive or comprehensive list of all registered or reserved trademarks and service marks owned or licensed by celanese ."]]}, "answers": ["-34.5%"]}, "rejected_source": {"id": "CE/2017/page_20.pdf-1", "qa": {"question": "what is the percentage change in research and development expense from 2016 to 2017?", "answer": "-7.7%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus1-1", "arg1": "72", "arg2": "78", "res": "-6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "78", "res": "-7.7%"}], "program": "subtract(72, 78), divide(#0, 78)", "gold_inds": {"text_9": "research and development expense was $ 72 million , $ 78 million and $ 119 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": -0.07692, "tfidftopn": {"text_8": "research and development our business models leverage innovation and conduct research and development activities to develop new , and optimize existing , production technologies , as well as to develop commercially viable new products and applications .", "text_10": "we consider the amounts spent during each of the last three fiscal years on research and development activities to be sufficient to execute our current strategic initiatives ."}, "program_re": "divide(subtract(72, 78), 78)", "model_input": [["text_9", "research and development expense was $ 72 million , $ 78 million and $ 119 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_10", "we consider the amounts spent during each of the last three fiscal years on research and development activities to be sufficient to execute our current strategic initiatives ."], ["text_22", "the foregoing is not intended to be an exhaustive or comprehensive list of all registered or reserved trademarks and service marks owned or licensed by celanese ."]]}, "answers": ["-7.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000648", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in research and development expense from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-7.7%.", "rejected": "-34.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the percentage change in research and development expense <TIME>?", "doc_prefix": "CE", "base_question": "what is the percentage change in research and development expense <TIME>?", "original_question": "what is the percentage change in research and development expense from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-34.5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-7.7%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "CE/2017/page_20.pdf-1", "qa": {"question": "what is the percentage change in research and development expense from 2016 to 2017?", "answer": "-7.7%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus1-1", "arg1": "72", "arg2": "78", "res": "-6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "78", "res": "-7.7%"}], "program": "subtract(72, 78), divide(#0, 78)", "gold_inds": {"text_9": "research and development expense was $ 72 million , $ 78 million and $ 119 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": -0.07692, "tfidftopn": {"text_8": "research and development our business models leverage innovation and conduct research and development activities to develop new , and optimize existing , production technologies , as well as to develop commercially viable new products and applications .", "text_10": "we consider the amounts spent during each of the last three fiscal years on research and development activities to be sufficient to execute our current strategic initiatives ."}, "program_re": "divide(subtract(72, 78), 78)", "model_input": [["text_9", "research and development expense was $ 72 million , $ 78 million and $ 119 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_10", "we consider the amounts spent during each of the last three fiscal years on research and development activities to be sufficient to execute our current strategic initiatives ."], ["text_22", "the foregoing is not intended to be an exhaustive or comprehensive list of all registered or reserved trademarks and service marks owned or licensed by celanese ."]]}, "answers": ["-7.7%"]}, "rejected_source": {"id": "CE/2017/page_20.pdf-4", "qa": {"question": "what is the percentage change in research and development expense from 2015 to 2016?", "answer": "-34.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "minus2-1", "arg1": "78", "arg2": "119", "res": "-41"}, {"op": "divide2-2", "arg1": "#0", "arg2": "119", "res": "-34.5%"}], "program": "subtract(78, 119), divide(#0, 119)", "gold_inds": {"text_9": "research and development expense was $ 72 million , $ 78 million and $ 119 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": -0.34454, "tfidftopn": {"text_8": "research and development our business models leverage innovation and conduct research and development activities to develop new , and optimize existing , production technologies , as well as to develop commercially viable new products and applications .", "text_10": "we consider the amounts spent during each of the last three fiscal years on research and development activities to be sufficient to execute our current strategic initiatives ."}, "program_re": "divide(subtract(78, 119), 119)", "model_input": [["text_9", "research and development expense was $ 72 million , $ 78 million and $ 119 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_10", "we consider the amounts spent during each of the last three fiscal years on research and development activities to be sufficient to execute our current strategic initiatives ."], ["text_22", "the foregoing is not intended to be an exhaustive or comprehensive list of all registered or reserved trademarks and service marks owned or licensed by celanese ."]]}, "answers": ["-34.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000649", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net revenues in 2012 where due to equity securities ( excluding icbc ) revenues?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "41%.", "rejected": "52%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total net revenues <TIME> where due to equity securities ( excluding icbc ) revenues?", "doc_prefix": "GS", "base_question": "what percentage of total net revenues <TIME> where due to equity securities ( excluding icbc ) revenues?", "original_question": "what percentage of total net revenues in 2012 where due to equity securities ( excluding icbc ) revenues?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"52%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "41%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_57.pdf-1", "qa": {"question": "what percentage of total net revenues in 2012 where due to equity securities ( excluding icbc ) revenues?", "answer": "41%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2392", "arg2": "5891", "res": "41%"}], "program": "divide(2392, 5891)", "gold_inds": {"table_2": "in millions the equity securities ( excluding icbc ) of year ended december 2012 is 2392 ; the equity securities ( excluding icbc ) of year ended december 2011 is 1120 ; the equity securities ( excluding icbc ) of year ended december 2010 is 2692 ;", "table_5": "in millions the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ; the total net revenues of year ended december 2010 is 7541 ;"}, "exe_ans": 0.40604, "tfidftopn": {"text_4": "equities client execution net revenues were lower than 2010 , primarily reflecting significantly lower net revenues in shares ."}, "program_re": "divide(2392, 5891)", "model_input": [["table_1", "in millions the icbc of year ended december 2012 is $ 408 ; the icbc of year ended december 2011 is $ -517 ( 517 ) ; the icbc of year ended december 2010 is $ 747 ;"], ["table_2", "in millions the equity securities ( excluding icbc ) of year ended december 2012 is 2392 ; the equity securities ( excluding icbc ) of year ended december 2011 is 1120 ; the equity securities ( excluding icbc ) of year ended december 2010 is 2692 ;"], ["table_5", "in millions the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ; the total net revenues of year ended december 2010 is 7541 ;"]]}, "answers": ["41%"]}, "rejected_source": {"id": "GS/2012/page_57.pdf-2", "qa": {"question": "what percentage of total net revenues in 2011 where due to equity securities ( excluding icbc ) revenues?", "answer": "52%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1120", "arg2": "2142", "res": "52%"}], "program": "divide(1120, 2142)", "gold_inds": {"table_2": "in millions the equity securities ( excluding icbc ) of year ended december 2012 is 2392 ; the equity securities ( excluding icbc ) of year ended december 2011 is 1120 ; the equity securities ( excluding icbc ) of year ended december 2010 is 2692 ;", "table_5": "in millions the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ; the total net revenues of year ended december 2010 is 7541 ;"}, "exe_ans": 0.52288, "tfidftopn": {"text_4": "equities client execution net revenues were lower than 2010 , primarily reflecting significantly lower net revenues in shares ."}, "program_re": "divide(1120, 2142)", "model_input": [["table_1", "in millions the icbc of year ended december 2012 is $ 408 ; the icbc of year ended december 2011 is $ -517 ( 517 ) ; the icbc of year ended december 2010 is $ 747 ;"], ["table_2", "in millions the equity securities ( excluding icbc ) of year ended december 2012 is 2392 ; the equity securities ( excluding icbc ) of year ended december 2011 is 1120 ; the equity securities ( excluding icbc ) of year ended december 2010 is 2692 ;"], ["table_5", "in millions the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ; the total net revenues of year ended december 2010 is 7541 ;"]]}, "answers": ["52%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000650", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net revenues in 2011 where due to equity securities ( excluding icbc ) revenues?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "52%.", "rejected": "41%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total net revenues <TIME> where due to equity securities ( excluding icbc ) revenues?", "doc_prefix": "GS", "base_question": "what percentage of total net revenues <TIME> where due to equity securities ( excluding icbc ) revenues?", "original_question": "what percentage of total net revenues in 2011 where due to equity securities ( excluding icbc ) revenues?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"52%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "41%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_57.pdf-2", "qa": {"question": "what percentage of total net revenues in 2011 where due to equity securities ( excluding icbc ) revenues?", "answer": "52%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1120", "arg2": "2142", "res": "52%"}], "program": "divide(1120, 2142)", "gold_inds": {"table_2": "in millions the equity securities ( excluding icbc ) of year ended december 2012 is 2392 ; the equity securities ( excluding icbc ) of year ended december 2011 is 1120 ; the equity securities ( excluding icbc ) of year ended december 2010 is 2692 ;", "table_5": "in millions the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ; the total net revenues of year ended december 2010 is 7541 ;"}, "exe_ans": 0.52288, "tfidftopn": {"text_4": "equities client execution net revenues were lower than 2010 , primarily reflecting significantly lower net revenues in shares ."}, "program_re": "divide(1120, 2142)", "model_input": [["table_1", "in millions the icbc of year ended december 2012 is $ 408 ; the icbc of year ended december 2011 is $ -517 ( 517 ) ; the icbc of year ended december 2010 is $ 747 ;"], ["table_2", "in millions the equity securities ( excluding icbc ) of year ended december 2012 is 2392 ; the equity securities ( excluding icbc ) of year ended december 2011 is 1120 ; the equity securities ( excluding icbc ) of year ended december 2010 is 2692 ;"], ["table_5", "in millions the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ; the total net revenues of year ended december 2010 is 7541 ;"]]}, "answers": ["52%"]}, "rejected_source": {"id": "GS/2012/page_57.pdf-1", "qa": {"question": "what percentage of total net revenues in 2012 where due to equity securities ( excluding icbc ) revenues?", "answer": "41%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2392", "arg2": "5891", "res": "41%"}], "program": "divide(2392, 5891)", "gold_inds": {"table_2": "in millions the equity securities ( excluding icbc ) of year ended december 2012 is 2392 ; the equity securities ( excluding icbc ) of year ended december 2011 is 1120 ; the equity securities ( excluding icbc ) of year ended december 2010 is 2692 ;", "table_5": "in millions the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ; the total net revenues of year ended december 2010 is 7541 ;"}, "exe_ans": 0.40604, "tfidftopn": {"text_4": "equities client execution net revenues were lower than 2010 , primarily reflecting significantly lower net revenues in shares ."}, "program_re": "divide(2392, 5891)", "model_input": [["table_1", "in millions the icbc of year ended december 2012 is $ 408 ; the icbc of year ended december 2011 is $ -517 ( 517 ) ; the icbc of year ended december 2010 is $ 747 ;"], ["table_2", "in millions the equity securities ( excluding icbc ) of year ended december 2012 is 2392 ; the equity securities ( excluding icbc ) of year ended december 2011 is 1120 ; the equity securities ( excluding icbc ) of year ended december 2010 is 2692 ;"], ["table_5", "in millions the total net revenues of year ended december 2012 is 5891 ; the total net revenues of year ended december 2011 is 2142 ; the total net revenues of year ended december 2010 is 7541 ;"]]}, "answers": ["41%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000651", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: interest and dividend income was what percent of total other income in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "125.", "rejected": "201.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || interest and dividend income was what percent of total other income <TIME>?", "doc_prefix": "AAPL", "base_question": "interest and dividend income was what percent of total other income <TIME>?", "original_question": "interest and dividend income was what percent of total other income in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"201": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "125": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "AAPL/2011/page_37.pdf-1", "qa": {"question": "interest and dividend income was what percent of total other income in 2011?", "answer": "125", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "519", "arg2": "415", "res": "1.25"}], "program": "divide(519, 415)", "gold_inds": {"table_1": "the interest and dividend income of 2011 is $ 519 ; the interest and dividend income of 2010 is $ 311 ; the interest and dividend income of 2009 is $ 407 ;", "table_3": "the total other income and expense of 2011 is $ 415 ; the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ;"}, "exe_ans": 1.2506, "tfidftopn": {"text_10": "other income and expense other income and expense for the three years ended september 24 , 2011 , are as follows ( in millions ) : ."}, "program_re": "divide(519, 415)", "model_input": [["text_10", "other income and expense other income and expense for the three years ended september 24 , 2011 , are as follows ( in millions ) : ."], ["table_1", "the interest and dividend income of 2011 is $ 519 ; the interest and dividend income of 2010 is $ 311 ; the interest and dividend income of 2009 is $ 407 ;"], ["table_3", "the total other income and expense of 2011 is $ 415 ; the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ;"]]}, "answers": ["125"]}, "rejected_source": {"id": "AAPL/2011/page_37.pdf-2", "qa": {"question": "interest and dividend income was what percent of total other income in 2010?", "answer": "201", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "311", "arg2": "155", "res": "2.01"}], "program": "divide(311, 155)", "gold_inds": {"table_1": "the interest and dividend income of 2011 is $ 519 ; the interest and dividend income of 2010 is $ 311 ; the interest and dividend income of 2009 is $ 407 ;", "table_3": "the total other income and expense of 2011 is $ 415 ; the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ;"}, "exe_ans": 2.00645, "tfidftopn": {"text_10": "other income and expense other income and expense for the three years ended september 24 , 2011 , are as follows ( in millions ) : ."}, "program_re": "divide(311, 155)", "model_input": [["text_10", "other income and expense other income and expense for the three years ended september 24 , 2011 , are as follows ( in millions ) : ."], ["table_1", "the interest and dividend income of 2011 is $ 519 ; the interest and dividend income of 2010 is $ 311 ; the interest and dividend income of 2009 is $ 407 ;"], ["table_3", "the total other income and expense of 2011 is $ 415 ; the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ;"]]}, "answers": ["201"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000652", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: interest and dividend income was what percent of total other income in 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "201.", "rejected": "125.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || interest and dividend income was what percent of total other income <TIME>?", "doc_prefix": "AAPL", "base_question": "interest and dividend income was what percent of total other income <TIME>?", "original_question": "interest and dividend income was what percent of total other income in 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"201": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "125": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "AAPL/2011/page_37.pdf-2", "qa": {"question": "interest and dividend income was what percent of total other income in 2010?", "answer": "201", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "311", "arg2": "155", "res": "2.01"}], "program": "divide(311, 155)", "gold_inds": {"table_1": "the interest and dividend income of 2011 is $ 519 ; the interest and dividend income of 2010 is $ 311 ; the interest and dividend income of 2009 is $ 407 ;", "table_3": "the total other income and expense of 2011 is $ 415 ; the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ;"}, "exe_ans": 2.00645, "tfidftopn": {"text_10": "other income and expense other income and expense for the three years ended september 24 , 2011 , are as follows ( in millions ) : ."}, "program_re": "divide(311, 155)", "model_input": [["text_10", "other income and expense other income and expense for the three years ended september 24 , 2011 , are as follows ( in millions ) : ."], ["table_1", "the interest and dividend income of 2011 is $ 519 ; the interest and dividend income of 2010 is $ 311 ; the interest and dividend income of 2009 is $ 407 ;"], ["table_3", "the total other income and expense of 2011 is $ 415 ; the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ;"]]}, "answers": ["201"]}, "rejected_source": {"id": "AAPL/2011/page_37.pdf-1", "qa": {"question": "interest and dividend income was what percent of total other income in 2011?", "answer": "125", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "519", "arg2": "415", "res": "1.25"}], "program": "divide(519, 415)", "gold_inds": {"table_1": "the interest and dividend income of 2011 is $ 519 ; the interest and dividend income of 2010 is $ 311 ; the interest and dividend income of 2009 is $ 407 ;", "table_3": "the total other income and expense of 2011 is $ 415 ; the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ;"}, "exe_ans": 1.2506, "tfidftopn": {"text_10": "other income and expense other income and expense for the three years ended september 24 , 2011 , are as follows ( in millions ) : ."}, "program_re": "divide(519, 415)", "model_input": [["text_10", "other income and expense other income and expense for the three years ended september 24 , 2011 , are as follows ( in millions ) : ."], ["table_1", "the interest and dividend income of 2011 is $ 519 ; the interest and dividend income of 2010 is $ 311 ; the interest and dividend income of 2009 is $ 407 ;"], ["table_3", "the total other income and expense of 2011 is $ 415 ; the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ;"]]}, "answers": ["125"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000653", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in industry segment operating profits from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-5%.", "rejected": "17%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the percentage change in industry segment operating profits <TIME>?", "doc_prefix": "IP", "base_question": "what was the percentage change in industry segment operating profits <TIME>?", "original_question": "what was the percentage change in industry segment operating profits from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "28%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "17%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "IP/2006/page_19.pdf-1", "qa": {"question": "what was the percentage change in industry segment operating profits from 2004 to 2005?", "answer": "-5%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1622", "arg2": "1703", "res": "-81"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1703", "res": "-5%"}], "program": "subtract(1622, 1703), divide(#0, 1703)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"}, "exe_ans": -0.04756, "tfidftopn": {"text_25": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_23": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(1622, 1703), 1703)", "model_input": [["table_1", "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"], ["table_7", "in millions the discontinued operations of 2006 is -232 ( 232 ) ; the discontinued operations of 2005 is 416 ; the discontinued operations of 2004 is -273 ( 273 ) ;"], ["table_8", "in millions the net earnings ( loss ) of 2006 is $ 1050 ; the net earnings ( loss ) of 2005 is $ 1100 ; the net earnings ( loss ) of 2004 is $ -35 ( 35 ) ;"]]}, "answers": ["-5%"]}, "rejected_source": {"id": "IP/2007/page_19.pdf-2", "qa": {"question": "what was the percentage change in industry segment operating profits from 2006 to 2007?", "answer": "17%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2423", "arg2": "2074", "res": "349"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2074", "res": "17%"}], "program": "subtract(2423, 2074), divide(#0, 2074)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"}, "exe_ans": 0.16827, "tfidftopn": {"text_15": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_13": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(2423, 2074), 2074)", "model_input": [["table_1", "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"], ["text_20", "industry segment operating profits of $ 2.4 billion were $ 349 million higher in 2007 than in 2006 due principally to the benefits from higher average price realizations ( $ 461 million ) , the net impact of cost reduction initiatives , improved operating perform- ance and a more favorable mix of products sold ( $ 304 million ) , higher sales volumes ( $ 17 million ) , lower special item costs ( $ 115 million ) and other items ( $ 4 million ) ."], ["text_22", "segment operating profit ( in millions ) $ 2074 ( $ 205 ) ( $ 48 ) $ 17 ( $ 244 ) $ 2423$ 4 ( $ 52 ) ( $ 101 ) $ 461 $ 1000 $ 1500 $ 2000 $ 2500 $ 3000 ."]]}, "answers": ["17%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000654", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in industry segment operating profits from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-5%.", "rejected": "28%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the percentage change in industry segment operating profits <TIME>?", "doc_prefix": "IP", "base_question": "what was the percentage change in industry segment operating profits <TIME>?", "original_question": "what was the percentage change in industry segment operating profits from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "28%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "17%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "IP/2006/page_19.pdf-1", "qa": {"question": "what was the percentage change in industry segment operating profits from 2004 to 2005?", "answer": "-5%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1622", "arg2": "1703", "res": "-81"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1703", "res": "-5%"}], "program": "subtract(1622, 1703), divide(#0, 1703)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"}, "exe_ans": -0.04756, "tfidftopn": {"text_25": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_23": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(1622, 1703), 1703)", "model_input": [["table_1", "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"], ["table_7", "in millions the discontinued operations of 2006 is -232 ( 232 ) ; the discontinued operations of 2005 is 416 ; the discontinued operations of 2004 is -273 ( 273 ) ;"], ["table_8", "in millions the net earnings ( loss ) of 2006 is $ 1050 ; the net earnings ( loss ) of 2005 is $ 1100 ; the net earnings ( loss ) of 2004 is $ -35 ( 35 ) ;"]]}, "answers": ["-5%"]}, "rejected_source": {"id": "IP/2006/page_19.pdf-2", "qa": {"question": "what was the percentage change in industry segment operating profits from 2005 to 2006?", "answer": "28%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2074", "arg2": "1622", "res": "452"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1622", "res": "28%"}], "program": "subtract(2074, 1622), divide(#0, 1622)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"}, "exe_ans": 0.27867, "tfidftopn": {"text_25": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_23": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(2074, 1622), 1622)", "model_input": [["table_1", "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"], ["table_7", "in millions the discontinued operations of 2006 is -232 ( 232 ) ; the discontinued operations of 2005 is 416 ; the discontinued operations of 2004 is -273 ( 273 ) ;"], ["table_8", "in millions the net earnings ( loss ) of 2006 is $ 1050 ; the net earnings ( loss ) of 2005 is $ 1100 ; the net earnings ( loss ) of 2004 is $ -35 ( 35 ) ;"]]}, "answers": ["28%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000655", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in industry segment operating profits from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "17%.", "rejected": "-5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the percentage change in industry segment operating profits <TIME>?", "doc_prefix": "IP", "base_question": "what was the percentage change in industry segment operating profits <TIME>?", "original_question": "what was the percentage change in industry segment operating profits from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "28%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "17%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "IP/2007/page_19.pdf-2", "qa": {"question": "what was the percentage change in industry segment operating profits from 2006 to 2007?", "answer": "17%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2423", "arg2": "2074", "res": "349"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2074", "res": "17%"}], "program": "subtract(2423, 2074), divide(#0, 2074)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"}, "exe_ans": 0.16827, "tfidftopn": {"text_15": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_13": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(2423, 2074), 2074)", "model_input": [["table_1", "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"], ["text_20", "industry segment operating profits of $ 2.4 billion were $ 349 million higher in 2007 than in 2006 due principally to the benefits from higher average price realizations ( $ 461 million ) , the net impact of cost reduction initiatives , improved operating perform- ance and a more favorable mix of products sold ( $ 304 million ) , higher sales volumes ( $ 17 million ) , lower special item costs ( $ 115 million ) and other items ( $ 4 million ) ."], ["text_22", "segment operating profit ( in millions ) $ 2074 ( $ 205 ) ( $ 48 ) $ 17 ( $ 244 ) $ 2423$ 4 ( $ 52 ) ( $ 101 ) $ 461 $ 1000 $ 1500 $ 2000 $ 2500 $ 3000 ."]]}, "answers": ["17%"]}, "rejected_source": {"id": "IP/2006/page_19.pdf-1", "qa": {"question": "what was the percentage change in industry segment operating profits from 2004 to 2005?", "answer": "-5%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1622", "arg2": "1703", "res": "-81"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1703", "res": "-5%"}], "program": "subtract(1622, 1703), divide(#0, 1703)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"}, "exe_ans": -0.04756, "tfidftopn": {"text_25": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_23": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(1622, 1703), 1703)", "model_input": [["table_1", "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"], ["table_7", "in millions the discontinued operations of 2006 is -232 ( 232 ) ; the discontinued operations of 2005 is 416 ; the discontinued operations of 2004 is -273 ( 273 ) ;"], ["table_8", "in millions the net earnings ( loss ) of 2006 is $ 1050 ; the net earnings ( loss ) of 2005 is $ 1100 ; the net earnings ( loss ) of 2004 is $ -35 ( 35 ) ;"]]}, "answers": ["-5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000656", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in industry segment operating profits from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "17%.", "rejected": "28%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the percentage change in industry segment operating profits <TIME>?", "doc_prefix": "IP", "base_question": "what was the percentage change in industry segment operating profits <TIME>?", "original_question": "what was the percentage change in industry segment operating profits from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "28%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "17%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "IP/2007/page_19.pdf-2", "qa": {"question": "what was the percentage change in industry segment operating profits from 2006 to 2007?", "answer": "17%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2423", "arg2": "2074", "res": "349"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2074", "res": "17%"}], "program": "subtract(2423, 2074), divide(#0, 2074)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"}, "exe_ans": 0.16827, "tfidftopn": {"text_15": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_13": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(2423, 2074), 2074)", "model_input": [["table_1", "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"], ["text_20", "industry segment operating profits of $ 2.4 billion were $ 349 million higher in 2007 than in 2006 due principally to the benefits from higher average price realizations ( $ 461 million ) , the net impact of cost reduction initiatives , improved operating perform- ance and a more favorable mix of products sold ( $ 304 million ) , higher sales volumes ( $ 17 million ) , lower special item costs ( $ 115 million ) and other items ( $ 4 million ) ."], ["text_22", "segment operating profit ( in millions ) $ 2074 ( $ 205 ) ( $ 48 ) $ 17 ( $ 244 ) $ 2423$ 4 ( $ 52 ) ( $ 101 ) $ 461 $ 1000 $ 1500 $ 2000 $ 2500 $ 3000 ."]]}, "answers": ["17%"]}, "rejected_source": {"id": "IP/2006/page_19.pdf-2", "qa": {"question": "what was the percentage change in industry segment operating profits from 2005 to 2006?", "answer": "28%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2074", "arg2": "1622", "res": "452"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1622", "res": "28%"}], "program": "subtract(2074, 1622), divide(#0, 1622)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"}, "exe_ans": 0.27867, "tfidftopn": {"text_25": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_23": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(2074, 1622), 1622)", "model_input": [["table_1", "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"], ["table_7", "in millions the discontinued operations of 2006 is -232 ( 232 ) ; the discontinued operations of 2005 is 416 ; the discontinued operations of 2004 is -273 ( 273 ) ;"], ["table_8", "in millions the net earnings ( loss ) of 2006 is $ 1050 ; the net earnings ( loss ) of 2005 is $ 1100 ; the net earnings ( loss ) of 2004 is $ -35 ( 35 ) ;"]]}, "answers": ["28%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000657", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in industry segment operating profits from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "28%.", "rejected": "-5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the percentage change in industry segment operating profits <TIME>?", "doc_prefix": "IP", "base_question": "what was the percentage change in industry segment operating profits <TIME>?", "original_question": "what was the percentage change in industry segment operating profits from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "28%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "17%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "IP/2006/page_19.pdf-2", "qa": {"question": "what was the percentage change in industry segment operating profits from 2005 to 2006?", "answer": "28%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2074", "arg2": "1622", "res": "452"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1622", "res": "28%"}], "program": "subtract(2074, 1622), divide(#0, 1622)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"}, "exe_ans": 0.27867, "tfidftopn": {"text_25": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_23": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(2074, 1622), 1622)", "model_input": [["table_1", "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"], ["table_7", "in millions the discontinued operations of 2006 is -232 ( 232 ) ; the discontinued operations of 2005 is 416 ; the discontinued operations of 2004 is -273 ( 273 ) ;"], ["table_8", "in millions the net earnings ( loss ) of 2006 is $ 1050 ; the net earnings ( loss ) of 2005 is $ 1100 ; the net earnings ( loss ) of 2004 is $ -35 ( 35 ) ;"]]}, "answers": ["28%"]}, "rejected_source": {"id": "IP/2006/page_19.pdf-1", "qa": {"question": "what was the percentage change in industry segment operating profits from 2004 to 2005?", "answer": "-5%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1622", "arg2": "1703", "res": "-81"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1703", "res": "-5%"}], "program": "subtract(1622, 1703), divide(#0, 1703)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"}, "exe_ans": -0.04756, "tfidftopn": {"text_25": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_23": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(1622, 1703), 1703)", "model_input": [["table_1", "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"], ["table_7", "in millions the discontinued operations of 2006 is -232 ( 232 ) ; the discontinued operations of 2005 is 416 ; the discontinued operations of 2004 is -273 ( 273 ) ;"], ["table_8", "in millions the net earnings ( loss ) of 2006 is $ 1050 ; the net earnings ( loss ) of 2005 is $ 1100 ; the net earnings ( loss ) of 2004 is $ -35 ( 35 ) ;"]]}, "answers": ["-5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000658", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in industry segment operating profits from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "28%.", "rejected": "17%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the percentage change in industry segment operating profits <TIME>?", "doc_prefix": "IP", "base_question": "what was the percentage change in industry segment operating profits <TIME>?", "original_question": "what was the percentage change in industry segment operating profits from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "28%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "17%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "IP/2006/page_19.pdf-2", "qa": {"question": "what was the percentage change in industry segment operating profits from 2005 to 2006?", "answer": "28%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2074", "arg2": "1622", "res": "452"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1622", "res": "28%"}], "program": "subtract(2074, 1622), divide(#0, 1622)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"}, "exe_ans": 0.27867, "tfidftopn": {"text_25": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_23": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(2074, 1622), 1622)", "model_input": [["table_1", "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"], ["table_7", "in millions the discontinued operations of 2006 is -232 ( 232 ) ; the discontinued operations of 2005 is 416 ; the discontinued operations of 2004 is -273 ( 273 ) ;"], ["table_8", "in millions the net earnings ( loss ) of 2006 is $ 1050 ; the net earnings ( loss ) of 2005 is $ 1100 ; the net earnings ( loss ) of 2004 is $ -35 ( 35 ) ;"]]}, "answers": ["28%"]}, "rejected_source": {"id": "IP/2007/page_19.pdf-2", "qa": {"question": "what was the percentage change in industry segment operating profits from 2006 to 2007?", "answer": "17%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2423", "arg2": "2074", "res": "349"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2074", "res": "17%"}], "program": "subtract(2423, 2074), divide(#0, 2074)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"}, "exe_ans": 0.16827, "tfidftopn": {"text_15": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_13": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(subtract(2423, 2074), 2074)", "model_input": [["table_1", "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"], ["text_20", "industry segment operating profits of $ 2.4 billion were $ 349 million higher in 2007 than in 2006 due principally to the benefits from higher average price realizations ( $ 461 million ) , the net impact of cost reduction initiatives , improved operating perform- ance and a more favorable mix of products sold ( $ 304 million ) , higher sales volumes ( $ 17 million ) , lower special item costs ( $ 115 million ) and other items ( $ 4 million ) ."], ["text_22", "segment operating profit ( in millions ) $ 2074 ( $ 205 ) ( $ 48 ) $ 17 ( $ 244 ) $ 2423$ 4 ( $ 52 ) ( $ 101 ) $ 461 $ 1000 $ 1500 $ 2000 $ 2500 $ 3000 ."]]}, "answers": ["17%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000659", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the increase in industrial packaging sales between 2008 and 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "1200.", "rejected": "2445.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the increase in industrial packaging sales <TIME>?", "doc_prefix": "IP", "base_question": "what was the increase in industrial packaging sales <TIME>?", "original_question": "what was the increase in industrial packaging sales between 2008 and 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2445": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "1200": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}]}, "chosen_source": {"id": "IP/2009/page_34.pdf-1", "qa": {"question": "what was the increase in industrial packaging sales between 2008 and 2009?", "answer": "1200", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "8890", "arg2": "7690", "res": "1200"}], "program": "subtract(8890, 7690)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;", "text_19": "industrial packaging in millions 2009 2008 2007 ."}, "exe_ans": 1200.0, "tfidftopn": {"text_13": "industrial packaging results for 2009 and 2008 include the cbpr business acquired in the 2008 third quarter ."}, "program_re": "subtract(8890, 7690)", "model_input": [["text_11", "industry segment results industrial packaging demand for industrial packaging products is closely correlated with non-durable industrial goods pro- duction , as well as with demand for processed foods , poultry , meat and agricultural products ."], ["text_19", "industrial packaging in millions 2009 2008 2007 ."], ["table_1", "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;"]]}, "answers": ["1200"]}, "rejected_source": {"id": "IP/2009/page_34.pdf-2", "qa": {"question": "what was the increase in industrial packaging sales between 2007 and 2008?", "answer": "2445", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [19], "steps": [{"op": "minus2-1", "arg1": "7690", "arg2": "5245", "res": "2445"}], "program": "subtract(7690, 5245)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;", "text_19": "industrial packaging in millions 2009 2008 2007 ."}, "exe_ans": 2445.0, "tfidftopn": {"text_13": "industrial packaging results for 2009 and 2008 include the cbpr business acquired in the 2008 third quarter ."}, "program_re": "subtract(7690, 5245)", "model_input": [["text_11", "industry segment results industrial packaging demand for industrial packaging products is closely correlated with non-durable industrial goods pro- duction , as well as with demand for processed foods , poultry , meat and agricultural products ."], ["text_19", "industrial packaging in millions 2009 2008 2007 ."], ["table_1", "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;"]]}, "answers": ["2445"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000660", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the increase in industrial packaging sales between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "2445.", "rejected": "1200.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the increase in industrial packaging sales <TIME>?", "doc_prefix": "IP", "base_question": "what was the increase in industrial packaging sales <TIME>?", "original_question": "what was the increase in industrial packaging sales between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2445": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "1200": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}]}, "chosen_source": {"id": "IP/2009/page_34.pdf-2", "qa": {"question": "what was the increase in industrial packaging sales between 2007 and 2008?", "answer": "2445", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [19], "steps": [{"op": "minus2-1", "arg1": "7690", "arg2": "5245", "res": "2445"}], "program": "subtract(7690, 5245)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;", "text_19": "industrial packaging in millions 2009 2008 2007 ."}, "exe_ans": 2445.0, "tfidftopn": {"text_13": "industrial packaging results for 2009 and 2008 include the cbpr business acquired in the 2008 third quarter ."}, "program_re": "subtract(7690, 5245)", "model_input": [["text_11", "industry segment results industrial packaging demand for industrial packaging products is closely correlated with non-durable industrial goods pro- duction , as well as with demand for processed foods , poultry , meat and agricultural products ."], ["text_19", "industrial packaging in millions 2009 2008 2007 ."], ["table_1", "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;"]]}, "answers": ["2445"]}, "rejected_source": {"id": "IP/2009/page_34.pdf-1", "qa": {"question": "what was the increase in industrial packaging sales between 2008 and 2009?", "answer": "1200", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "8890", "arg2": "7690", "res": "1200"}], "program": "subtract(8890, 7690)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;", "text_19": "industrial packaging in millions 2009 2008 2007 ."}, "exe_ans": 1200.0, "tfidftopn": {"text_13": "industrial packaging results for 2009 and 2008 include the cbpr business acquired in the 2008 third quarter ."}, "program_re": "subtract(8890, 7690)", "model_input": [["text_11", "industry segment results industrial packaging demand for industrial packaging products is closely correlated with non-durable industrial goods pro- duction , as well as with demand for processed foods , poultry , meat and agricultural products ."], ["text_19", "industrial packaging in millions 2009 2008 2007 ."], ["table_1", "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;"]]}, "answers": ["1200"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000661", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-10%.", "rejected": "1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2013/page_47.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "answer": "-10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "18884", "arg2": "20963", "res": "-2079"}, {"op": "divide1-2", "arg1": "#0", "arg2": "20963", "res": "-10%"}], "program": "subtract(18884, 20963), divide(#0, 20963)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": -0.09917, "tfidftopn": {"text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities .", "text_7": "for 2012 compared to 2011 , the $ 2.1 billion decrease in cash provided by operating activities was due to lower net income and changes in our working capital , partially offset by adjustments for non-cash items ."}, "program_re": "divide(subtract(18884, 20963), 20963)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["-10%"]}, "rejected_source": {"id": "INTC/2018/page_48.pdf-2", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22110", "arg2": "21808", "res": "302"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21808", "res": "1%"}], "program": "subtract(22110, 21808), divide(#0, 21808)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.01385, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(22110, 21808), 21808)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000662", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-10%.", "rejected": "10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2013/page_47.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "answer": "-10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "18884", "arg2": "20963", "res": "-2079"}, {"op": "divide1-2", "arg1": "#0", "arg2": "20963", "res": "-10%"}], "program": "subtract(18884, 20963), divide(#0, 20963)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": -0.09917, "tfidftopn": {"text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities .", "text_7": "for 2012 compared to 2011 , the $ 2.1 billion decrease in cash provided by operating activities was due to lower net income and changes in our working capital , partially offset by adjustments for non-cash items ."}, "program_re": "divide(subtract(18884, 20963), 20963)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["-10%"]}, "rejected_source": {"id": "INTC/2013/page_47.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "answer": "10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20776", "arg2": "18884", "res": "1892"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18884", "res": "10%"}], "program": "subtract(20776, 18884), divide(#0, 18884)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": 0.10019, "tfidftopn": {"text_2": "for 2013 compared to 2012 , the $ 1.9 billion increase in cash provided by operating activities was due to changes in working capital , partially offset by lower net income in 2013 .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities ."}, "program_re": "divide(subtract(20776, 18884), 18884)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000663", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-10%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2013/page_47.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "answer": "-10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "18884", "arg2": "20963", "res": "-2079"}, {"op": "divide1-2", "arg1": "#0", "arg2": "20963", "res": "-10%"}], "program": "subtract(18884, 20963), divide(#0, 20963)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": -0.09917, "tfidftopn": {"text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities .", "text_7": "for 2012 compared to 2011 , the $ 2.1 billion decrease in cash provided by operating activities was due to lower net income and changes in our working capital , partially offset by adjustments for non-cash items ."}, "program_re": "divide(subtract(18884, 20963), 20963)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["-10%"]}, "rejected_source": {"id": "INTC/2017/page_45.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "21808", "arg2": "19018", "res": "2790"}, {"op": "divide1-2", "arg1": "#0", "arg2": "19018", "res": "15%"}], "program": "subtract(21808, 19018), divide(#0, 19018)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"}, "exe_ans": 0.1467, "tfidftopn": {"text_8": "for 2016 compared to 2015 , the $ 2.8 billion increase in cash provided by operating activities was due to adjustments for non-cash items and changes in working capital , partially offset by lower net income .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in assets and liabilities ."}, "program_re": "divide(subtract(21808, 19018), 19018)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ; the net cash used for investing activities of dec 262015 is -8183 ( 8183 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ; the net cash provided by ( used for ) financing activities of dec 262015 is 1912 ;"]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000664", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-10%.", "rejected": "33%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2013/page_47.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "answer": "-10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "18884", "arg2": "20963", "res": "-2079"}, {"op": "divide1-2", "arg1": "#0", "arg2": "20963", "res": "-10%"}], "program": "subtract(18884, 20963), divide(#0, 20963)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": -0.09917, "tfidftopn": {"text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities .", "text_7": "for 2012 compared to 2011 , the $ 2.1 billion decrease in cash provided by operating activities was due to lower net income and changes in our working capital , partially offset by adjustments for non-cash items ."}, "program_re": "divide(subtract(18884, 20963), 20963)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["-10%"]}, "rejected_source": {"id": "INTC/2018/page_48.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "answer": "33%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29432", "arg2": "22110", "res": "7322"}, {"op": "divide2-2", "arg1": "#0", "arg2": "22110", "res": "33%"}], "program": "subtract(29432, 22110), divide(#0, 22110)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.33116, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(29432, 22110), 22110)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["33%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000665", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2016 and 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "1%.", "rejected": "-10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2018/page_48.pdf-2", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22110", "arg2": "21808", "res": "302"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21808", "res": "1%"}], "program": "subtract(22110, 21808), divide(#0, 21808)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.01385, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(22110, 21808), 21808)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["1%"]}, "rejected_source": {"id": "INTC/2013/page_47.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "answer": "-10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "18884", "arg2": "20963", "res": "-2079"}, {"op": "divide1-2", "arg1": "#0", "arg2": "20963", "res": "-10%"}], "program": "subtract(18884, 20963), divide(#0, 20963)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": -0.09917, "tfidftopn": {"text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities .", "text_7": "for 2012 compared to 2011 , the $ 2.1 billion decrease in cash provided by operating activities was due to lower net income and changes in our working capital , partially offset by adjustments for non-cash items ."}, "program_re": "divide(subtract(18884, 20963), 20963)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["-10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000666", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2016 and 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "1%.", "rejected": "10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2018/page_48.pdf-2", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22110", "arg2": "21808", "res": "302"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21808", "res": "1%"}], "program": "subtract(22110, 21808), divide(#0, 21808)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.01385, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(22110, 21808), 21808)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["1%"]}, "rejected_source": {"id": "INTC/2013/page_47.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "answer": "10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20776", "arg2": "18884", "res": "1892"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18884", "res": "10%"}], "program": "subtract(20776, 18884), divide(#0, 18884)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": 0.10019, "tfidftopn": {"text_2": "for 2013 compared to 2012 , the $ 1.9 billion increase in cash provided by operating activities was due to changes in working capital , partially offset by lower net income in 2013 .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities ."}, "program_re": "divide(subtract(20776, 18884), 18884)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000667", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2016 and 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "1%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2018/page_48.pdf-2", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22110", "arg2": "21808", "res": "302"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21808", "res": "1%"}], "program": "subtract(22110, 21808), divide(#0, 21808)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.01385, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(22110, 21808), 21808)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["1%"]}, "rejected_source": {"id": "INTC/2017/page_45.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "21808", "arg2": "19018", "res": "2790"}, {"op": "divide1-2", "arg1": "#0", "arg2": "19018", "res": "15%"}], "program": "subtract(21808, 19018), divide(#0, 19018)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"}, "exe_ans": 0.1467, "tfidftopn": {"text_8": "for 2016 compared to 2015 , the $ 2.8 billion increase in cash provided by operating activities was due to adjustments for non-cash items and changes in working capital , partially offset by lower net income .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in assets and liabilities ."}, "program_re": "divide(subtract(21808, 19018), 19018)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ; the net cash used for investing activities of dec 262015 is -8183 ( 8183 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ; the net cash provided by ( used for ) financing activities of dec 262015 is 1912 ;"]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000668", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2016 and 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "1%.", "rejected": "33%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2018/page_48.pdf-2", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22110", "arg2": "21808", "res": "302"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21808", "res": "1%"}], "program": "subtract(22110, 21808), divide(#0, 21808)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.01385, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(22110, 21808), 21808)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["1%"]}, "rejected_source": {"id": "INTC/2018/page_48.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "answer": "33%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29432", "arg2": "22110", "res": "7322"}, {"op": "divide2-2", "arg1": "#0", "arg2": "22110", "res": "33%"}], "program": "subtract(29432, 22110), divide(#0, 22110)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.33116, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(29432, 22110), 22110)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["33%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000669", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "10%.", "rejected": "-10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2013/page_47.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "answer": "10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20776", "arg2": "18884", "res": "1892"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18884", "res": "10%"}], "program": "subtract(20776, 18884), divide(#0, 18884)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": 0.10019, "tfidftopn": {"text_2": "for 2013 compared to 2012 , the $ 1.9 billion increase in cash provided by operating activities was due to changes in working capital , partially offset by lower net income in 2013 .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities ."}, "program_re": "divide(subtract(20776, 18884), 18884)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["10%"]}, "rejected_source": {"id": "INTC/2013/page_47.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "answer": "-10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "18884", "arg2": "20963", "res": "-2079"}, {"op": "divide1-2", "arg1": "#0", "arg2": "20963", "res": "-10%"}], "program": "subtract(18884, 20963), divide(#0, 20963)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": -0.09917, "tfidftopn": {"text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities .", "text_7": "for 2012 compared to 2011 , the $ 2.1 billion decrease in cash provided by operating activities was due to lower net income and changes in our working capital , partially offset by adjustments for non-cash items ."}, "program_re": "divide(subtract(18884, 20963), 20963)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["-10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000670", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "10%.", "rejected": "1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2013/page_47.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "answer": "10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20776", "arg2": "18884", "res": "1892"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18884", "res": "10%"}], "program": "subtract(20776, 18884), divide(#0, 18884)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": 0.10019, "tfidftopn": {"text_2": "for 2013 compared to 2012 , the $ 1.9 billion increase in cash provided by operating activities was due to changes in working capital , partially offset by lower net income in 2013 .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities ."}, "program_re": "divide(subtract(20776, 18884), 18884)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["10%"]}, "rejected_source": {"id": "INTC/2018/page_48.pdf-2", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22110", "arg2": "21808", "res": "302"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21808", "res": "1%"}], "program": "subtract(22110, 21808), divide(#0, 21808)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.01385, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(22110, 21808), 21808)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000671", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "10%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2013/page_47.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "answer": "10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20776", "arg2": "18884", "res": "1892"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18884", "res": "10%"}], "program": "subtract(20776, 18884), divide(#0, 18884)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": 0.10019, "tfidftopn": {"text_2": "for 2013 compared to 2012 , the $ 1.9 billion increase in cash provided by operating activities was due to changes in working capital , partially offset by lower net income in 2013 .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities ."}, "program_re": "divide(subtract(20776, 18884), 18884)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["10%"]}, "rejected_source": {"id": "INTC/2017/page_45.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "21808", "arg2": "19018", "res": "2790"}, {"op": "divide1-2", "arg1": "#0", "arg2": "19018", "res": "15%"}], "program": "subtract(21808, 19018), divide(#0, 19018)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"}, "exe_ans": 0.1467, "tfidftopn": {"text_8": "for 2016 compared to 2015 , the $ 2.8 billion increase in cash provided by operating activities was due to adjustments for non-cash items and changes in working capital , partially offset by lower net income .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in assets and liabilities ."}, "program_re": "divide(subtract(21808, 19018), 19018)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ; the net cash used for investing activities of dec 262015 is -8183 ( 8183 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ; the net cash provided by ( used for ) financing activities of dec 262015 is 1912 ;"]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000672", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "10%.", "rejected": "33%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2013/page_47.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "answer": "10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20776", "arg2": "18884", "res": "1892"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18884", "res": "10%"}], "program": "subtract(20776, 18884), divide(#0, 18884)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": 0.10019, "tfidftopn": {"text_2": "for 2013 compared to 2012 , the $ 1.9 billion increase in cash provided by operating activities was due to changes in working capital , partially offset by lower net income in 2013 .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities ."}, "program_re": "divide(subtract(20776, 18884), 18884)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["10%"]}, "rejected_source": {"id": "INTC/2018/page_48.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "answer": "33%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29432", "arg2": "22110", "res": "7322"}, {"op": "divide2-2", "arg1": "#0", "arg2": "22110", "res": "33%"}], "program": "subtract(29432, 22110), divide(#0, 22110)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.33116, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(29432, 22110), 22110)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["33%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000673", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "15%.", "rejected": "-10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2017/page_45.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "21808", "arg2": "19018", "res": "2790"}, {"op": "divide1-2", "arg1": "#0", "arg2": "19018", "res": "15%"}], "program": "subtract(21808, 19018), divide(#0, 19018)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"}, "exe_ans": 0.1467, "tfidftopn": {"text_8": "for 2016 compared to 2015 , the $ 2.8 billion increase in cash provided by operating activities was due to adjustments for non-cash items and changes in working capital , partially offset by lower net income .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in assets and liabilities ."}, "program_re": "divide(subtract(21808, 19018), 19018)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ; the net cash used for investing activities of dec 262015 is -8183 ( 8183 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ; the net cash provided by ( used for ) financing activities of dec 262015 is 1912 ;"]]}, "answers": ["15%"]}, "rejected_source": {"id": "INTC/2013/page_47.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "answer": "-10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "18884", "arg2": "20963", "res": "-2079"}, {"op": "divide1-2", "arg1": "#0", "arg2": "20963", "res": "-10%"}], "program": "subtract(18884, 20963), divide(#0, 20963)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": -0.09917, "tfidftopn": {"text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities .", "text_7": "for 2012 compared to 2011 , the $ 2.1 billion decrease in cash provided by operating activities was due to lower net income and changes in our working capital , partially offset by adjustments for non-cash items ."}, "program_re": "divide(subtract(18884, 20963), 20963)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["-10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000674", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "15%.", "rejected": "1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2017/page_45.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "21808", "arg2": "19018", "res": "2790"}, {"op": "divide1-2", "arg1": "#0", "arg2": "19018", "res": "15%"}], "program": "subtract(21808, 19018), divide(#0, 19018)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"}, "exe_ans": 0.1467, "tfidftopn": {"text_8": "for 2016 compared to 2015 , the $ 2.8 billion increase in cash provided by operating activities was due to adjustments for non-cash items and changes in working capital , partially offset by lower net income .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in assets and liabilities ."}, "program_re": "divide(subtract(21808, 19018), 19018)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ; the net cash used for investing activities of dec 262015 is -8183 ( 8183 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ; the net cash provided by ( used for ) financing activities of dec 262015 is 1912 ;"]]}, "answers": ["15%"]}, "rejected_source": {"id": "INTC/2018/page_48.pdf-2", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22110", "arg2": "21808", "res": "302"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21808", "res": "1%"}], "program": "subtract(22110, 21808), divide(#0, 21808)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.01385, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(22110, 21808), 21808)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000675", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "15%.", "rejected": "10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2017/page_45.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "21808", "arg2": "19018", "res": "2790"}, {"op": "divide1-2", "arg1": "#0", "arg2": "19018", "res": "15%"}], "program": "subtract(21808, 19018), divide(#0, 19018)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"}, "exe_ans": 0.1467, "tfidftopn": {"text_8": "for 2016 compared to 2015 , the $ 2.8 billion increase in cash provided by operating activities was due to adjustments for non-cash items and changes in working capital , partially offset by lower net income .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in assets and liabilities ."}, "program_re": "divide(subtract(21808, 19018), 19018)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ; the net cash used for investing activities of dec 262015 is -8183 ( 8183 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ; the net cash provided by ( used for ) financing activities of dec 262015 is 1912 ;"]]}, "answers": ["15%"]}, "rejected_source": {"id": "INTC/2013/page_47.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "answer": "10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20776", "arg2": "18884", "res": "1892"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18884", "res": "10%"}], "program": "subtract(20776, 18884), divide(#0, 18884)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": 0.10019, "tfidftopn": {"text_2": "for 2013 compared to 2012 , the $ 1.9 billion increase in cash provided by operating activities was due to changes in working capital , partially offset by lower net income in 2013 .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities ."}, "program_re": "divide(subtract(20776, 18884), 18884)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000676", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "15%.", "rejected": "33%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2017/page_45.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "21808", "arg2": "19018", "res": "2790"}, {"op": "divide1-2", "arg1": "#0", "arg2": "19018", "res": "15%"}], "program": "subtract(21808, 19018), divide(#0, 19018)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"}, "exe_ans": 0.1467, "tfidftopn": {"text_8": "for 2016 compared to 2015 , the $ 2.8 billion increase in cash provided by operating activities was due to adjustments for non-cash items and changes in working capital , partially offset by lower net income .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in assets and liabilities ."}, "program_re": "divide(subtract(21808, 19018), 19018)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ; the net cash used for investing activities of dec 262015 is -8183 ( 8183 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ; the net cash provided by ( used for ) financing activities of dec 262015 is 1912 ;"]]}, "answers": ["15%"]}, "rejected_source": {"id": "INTC/2018/page_48.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "answer": "33%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29432", "arg2": "22110", "res": "7322"}, {"op": "divide2-2", "arg1": "#0", "arg2": "22110", "res": "33%"}], "program": "subtract(29432, 22110), divide(#0, 22110)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.33116, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(29432, 22110), 22110)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["33%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000677", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2017 and 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "33%.", "rejected": "-10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2018/page_48.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "answer": "33%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29432", "arg2": "22110", "res": "7322"}, {"op": "divide2-2", "arg1": "#0", "arg2": "22110", "res": "33%"}], "program": "subtract(29432, 22110), divide(#0, 22110)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.33116, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(29432, 22110), 22110)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["33%"]}, "rejected_source": {"id": "INTC/2013/page_47.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2011 and 2012?", "answer": "-10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "18884", "arg2": "20963", "res": "-2079"}, {"op": "divide1-2", "arg1": "#0", "arg2": "20963", "res": "-10%"}], "program": "subtract(18884, 20963), divide(#0, 20963)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": -0.09917, "tfidftopn": {"text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities .", "text_7": "for 2012 compared to 2011 , the $ 2.1 billion decrease in cash provided by operating activities was due to lower net income and changes in our working capital , partially offset by adjustments for non-cash items ."}, "program_re": "divide(subtract(18884, 20963), 20963)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["-10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000678", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2017 and 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "33%.", "rejected": "1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2018/page_48.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "answer": "33%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29432", "arg2": "22110", "res": "7322"}, {"op": "divide2-2", "arg1": "#0", "arg2": "22110", "res": "33%"}], "program": "subtract(29432, 22110), divide(#0, 22110)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.33116, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(29432, 22110), 22110)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["33%"]}, "rejected_source": {"id": "INTC/2018/page_48.pdf-2", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2016 and 2017?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22110", "arg2": "21808", "res": "302"}, {"op": "divide1-2", "arg1": "#0", "arg2": "21808", "res": "1%"}], "program": "subtract(22110, 21808), divide(#0, 21808)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.01385, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(22110, 21808), 21808)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000679", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2017 and 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "33%.", "rejected": "10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2018/page_48.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "answer": "33%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29432", "arg2": "22110", "res": "7322"}, {"op": "divide2-2", "arg1": "#0", "arg2": "22110", "res": "33%"}], "program": "subtract(29432, 22110), divide(#0, 22110)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.33116, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(29432, 22110), 22110)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["33%"]}, "rejected_source": {"id": "INTC/2013/page_47.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2012 and 2013?", "answer": "10%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20776", "arg2": "18884", "res": "1892"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18884", "res": "10%"}], "program": "subtract(20776, 18884), divide(#0, 18884)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"}, "exe_ans": 0.10019, "tfidftopn": {"text_2": "for 2013 compared to 2012 , the $ 1.9 billion increase in cash provided by operating activities was due to changes in working capital , partially offset by lower net income in 2013 .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in certain assets and liabilities ."}, "program_re": "divide(subtract(20776, 18884), 18884)", "model_input": [["text_0", "in summary , our cash flows for each period were as follows: ."], ["table_1", "( in millions ) the net cash provided by operating activities of 2013 is $ 20776 ; the net cash provided by operating activities of 2012 is $ 18884 ; the net cash provided by operating activities of 2011 is $ 20963 ;"], ["table_2", "( in millions ) the net cash used for investing activities of 2013 is -18073 ( 18073 ) ; the net cash used for investing activities of 2012 is -14060 ( 14060 ) ; the net cash used for investing activities of 2011 is -10301 ( 10301 ) ;"]]}, "answers": ["10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000680", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash provided by operating activities between 2017 and 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "33%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the percentage change in net cash provided by operating activities <TIME>?", "doc_prefix": "INTC", "base_question": "what was the percentage change in net cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "15%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "33%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "INTC/2018/page_48.pdf-3", "qa": {"question": "what was the percentage change in net cash provided by operating activities between 2017 and 2018?", "answer": "33%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29432", "arg2": "22110", "res": "7322"}, {"op": "divide2-2", "arg1": "#0", "arg2": "22110", "res": "33%"}], "program": "subtract(29432, 22110), divide(#0, 22110)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"}, "exe_ans": 0.33116, "tfidftopn": {"table_3": "years ended ( in millions ) The net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; The net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; The net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;", "table_2": "years ended ( in millions ) The net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; The net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; The net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"}, "program_re": "divide(subtract(29432, 22110), 22110)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 292018 is $ 29432 ; the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 292018 is -11239 ( 11239 ) ; the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 292018 is -18607 ( 18607 ) ; the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ;"]]}, "answers": ["33%"]}, "rejected_source": {"id": "INTC/2017/page_45.pdf-1", "qa": {"question": "what was the percentage change in net cash provided by operating activities from 2015 to 2016?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "21808", "arg2": "19018", "res": "2790"}, {"op": "divide1-2", "arg1": "#0", "arg2": "19018", "res": "15%"}], "program": "subtract(21808, 19018), divide(#0, 19018)", "gold_inds": {"table_1": "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"}, "exe_ans": 0.1467, "tfidftopn": {"text_8": "for 2016 compared to 2015 , the $ 2.8 billion increase in cash provided by operating activities was due to adjustments for non-cash items and changes in working capital , partially offset by lower net income .", "text_1": "operating activities cash provided by operating activities is net income adjusted for certain non-cash items and changes in assets and liabilities ."}, "program_re": "divide(subtract(21808, 19018), 19018)", "model_input": [["table_1", "years ended ( in millions ) the net cash provided by operating activities of dec 302017 is $ 22110 ; the net cash provided by operating activities of dec 312016 is $ 21808 ; the net cash provided by operating activities of dec 262015 is $ 19018 ;"], ["table_2", "years ended ( in millions ) the net cash used for investing activities of dec 302017 is -15762 ( 15762 ) ; the net cash used for investing activities of dec 312016 is -25817 ( 25817 ) ; the net cash used for investing activities of dec 262015 is -8183 ( 8183 ) ;"], ["table_3", "years ended ( in millions ) the net cash provided by ( used for ) financing activities of dec 302017 is -8475 ( 8475 ) ; the net cash provided by ( used for ) financing activities of dec 312016 is -5739 ( 5739 ) ; the net cash provided by ( used for ) financing activities of dec 262015 is 1912 ;"]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000681", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating profit margin for the year of 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "42%.", "rejected": "44%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CMCSA || what was the operating profit margin for the year of <TIME>?", "doc_prefix": "CMCSA", "base_question": "what was the operating profit margin for the year of <TIME>?", "original_question": "what was the operating profit margin for the year of 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"42%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "44%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "CMCSA/2015/page_62.pdf-2", "qa": {"question": "what was the operating profit margin for the year of 2014?", "answer": "42%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1096", "arg2": "2623", "res": "42%"}], "program": "divide(1096, 2623)", "gold_inds": {"table_1": "year ended december 31 ( in millions ) the revenue of 2015 is $ 3339 ; the revenue of 2014 is $ 2623 ; the revenue of 2013 is $ 2235 ; the revenue of % ( % ) change 2014 to 2015 is 27.3% ( 27.3 % ) ; the revenue of % ( % ) change 2013 to 2014 is 17.3% ( 17.3 % ) ;", "table_3": "year ended december 31 ( in millions ) the operating income before depreciation and amortization of 2015 is $ 1464 ; the operating income before depreciation and amortization of 2014 is $ 1096 ; the operating income before depreciation and amortization of 2013 is $ 943 ; the operating income before depreciation and amortization of % ( % ) change 2014 to 2015 is 33.5% ( 33.5 % ) ; the operating income before depreciation and amortization of % ( % ) change 2013 to 2014 is 16.3% ( 16.3 % ) ;"}, "exe_ans": 0.41784, "tfidftopn": {"table_2": "year ended december 31 ( in millions ) The operating costs and expenses of 2015 is 1875 ; The operating costs and expenses of 2014 is 1527 ; The operating costs and expenses of 2013 is 1292 ; The operating costs and expenses of % ( % ) change 2014 to 2015 is 22.8 ; The operating costs and expenses of % ( % ) change 2013 to 2014 is 18.1 ;"}, "program_re": "divide(1096, 2623)", "model_input": [["table_1", "year ended december 31 ( in millions ) the revenue of 2015 is $ 3339 ; the revenue of 2014 is $ 2623 ; the revenue of 2013 is $ 2235 ; the revenue of % ( % ) change 2014 to 2015 is 27.3% ( 27.3 % ) ; the revenue of % ( % ) change 2013 to 2014 is 17.3% ( 17.3 % ) ;"], ["table_2", "year ended december 31 ( in millions ) the operating costs and expenses of 2015 is 1875 ; the operating costs and expenses of 2014 is 1527 ; the operating costs and expenses of 2013 is 1292 ; the operating costs and expenses of % ( % ) change 2014 to 2015 is 22.8 ; the operating costs and expenses of % ( % ) change 2013 to 2014 is 18.1 ;"], ["table_3", "year ended december 31 ( in millions ) the operating income before depreciation and amortization of 2015 is $ 1464 ; the operating income before depreciation and amortization of 2014 is $ 1096 ; the operating income before depreciation and amortization of 2013 is $ 943 ; the operating income before depreciation and amortization of % ( % ) change 2014 to 2015 is 33.5% ( 33.5 % ) ; the operating income before depreciation and amortization of % ( % ) change 2013 to 2014 is 16.3% ( 16.3 % ) ;"]]}, "answers": ["42%"]}, "rejected_source": {"id": "CMCSA/2015/page_62.pdf-1", "qa": {"question": "what was the operating profit margin for the year of 2015?", "answer": "44%", "explanation": "operating margin is a measure of the efficiency of on going operations before extraneous expenses of overhead .", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1464", "arg2": "3339", "res": "44%"}], "program": "divide(1464, 3339)", "gold_inds": {"table_1": "year ended december 31 ( in millions ) the revenue of 2015 is $ 3339 ; the revenue of 2014 is $ 2623 ; the revenue of 2013 is $ 2235 ; the revenue of % ( % ) change 2014 to 2015 is 27.3% ( 27.3 % ) ; the revenue of % ( % ) change 2013 to 2014 is 17.3% ( 17.3 % ) ;", "table_3": "year ended december 31 ( in millions ) the operating income before depreciation and amortization of 2015 is $ 1464 ; the operating income before depreciation and amortization of 2014 is $ 1096 ; the operating income before depreciation and amortization of 2013 is $ 943 ; the operating income before depreciation and amortization of % ( % ) change 2014 to 2015 is 33.5% ( 33.5 % ) ; the operating income before depreciation and amortization of % ( % ) change 2013 to 2014 is 16.3% ( 16.3 % ) ;"}, "exe_ans": 0.43845, "tfidftopn": {"table_2": "year ended december 31 ( in millions ) The operating costs and expenses of 2015 is 1875 ; The operating costs and expenses of 2014 is 1527 ; The operating costs and expenses of 2013 is 1292 ; The operating costs and expenses of % ( % ) change 2014 to 2015 is 22.8 ; The operating costs and expenses of % ( % ) change 2013 to 2014 is 18.1 ;"}, "program_re": "divide(1464, 3339)", "model_input": [["table_1", "year ended december 31 ( in millions ) the revenue of 2015 is $ 3339 ; the revenue of 2014 is $ 2623 ; the revenue of 2013 is $ 2235 ; the revenue of % ( % ) change 2014 to 2015 is 27.3% ( 27.3 % ) ; the revenue of % ( % ) change 2013 to 2014 is 17.3% ( 17.3 % ) ;"], ["table_2", "year ended december 31 ( in millions ) the operating costs and expenses of 2015 is 1875 ; the operating costs and expenses of 2014 is 1527 ; the operating costs and expenses of 2013 is 1292 ; the operating costs and expenses of % ( % ) change 2014 to 2015 is 22.8 ; the operating costs and expenses of % ( % ) change 2013 to 2014 is 18.1 ;"], ["table_3", "year ended december 31 ( in millions ) the operating income before depreciation and amortization of 2015 is $ 1464 ; the operating income before depreciation and amortization of 2014 is $ 1096 ; the operating income before depreciation and amortization of 2013 is $ 943 ; the operating income before depreciation and amortization of % ( % ) change 2014 to 2015 is 33.5% ( 33.5 % ) ; the operating income before depreciation and amortization of % ( % ) change 2013 to 2014 is 16.3% ( 16.3 % ) ;"]]}, "answers": ["44%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000682", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating profit margin for the year of 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "44%.", "rejected": "42%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CMCSA || what was the operating profit margin for the year of <TIME>?", "doc_prefix": "CMCSA", "base_question": "what was the operating profit margin for the year of <TIME>?", "original_question": "what was the operating profit margin for the year of 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"42%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "44%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "CMCSA/2015/page_62.pdf-1", "qa": {"question": "what was the operating profit margin for the year of 2015?", "answer": "44%", "explanation": "operating margin is a measure of the efficiency of on going operations before extraneous expenses of overhead .", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1464", "arg2": "3339", "res": "44%"}], "program": "divide(1464, 3339)", "gold_inds": {"table_1": "year ended december 31 ( in millions ) the revenue of 2015 is $ 3339 ; the revenue of 2014 is $ 2623 ; the revenue of 2013 is $ 2235 ; the revenue of % ( % ) change 2014 to 2015 is 27.3% ( 27.3 % ) ; the revenue of % ( % ) change 2013 to 2014 is 17.3% ( 17.3 % ) ;", "table_3": "year ended december 31 ( in millions ) the operating income before depreciation and amortization of 2015 is $ 1464 ; the operating income before depreciation and amortization of 2014 is $ 1096 ; the operating income before depreciation and amortization of 2013 is $ 943 ; the operating income before depreciation and amortization of % ( % ) change 2014 to 2015 is 33.5% ( 33.5 % ) ; the operating income before depreciation and amortization of % ( % ) change 2013 to 2014 is 16.3% ( 16.3 % ) ;"}, "exe_ans": 0.43845, "tfidftopn": {"table_2": "year ended december 31 ( in millions ) The operating costs and expenses of 2015 is 1875 ; The operating costs and expenses of 2014 is 1527 ; The operating costs and expenses of 2013 is 1292 ; The operating costs and expenses of % ( % ) change 2014 to 2015 is 22.8 ; The operating costs and expenses of % ( % ) change 2013 to 2014 is 18.1 ;"}, "program_re": "divide(1464, 3339)", "model_input": [["table_1", "year ended december 31 ( in millions ) the revenue of 2015 is $ 3339 ; the revenue of 2014 is $ 2623 ; the revenue of 2013 is $ 2235 ; the revenue of % ( % ) change 2014 to 2015 is 27.3% ( 27.3 % ) ; the revenue of % ( % ) change 2013 to 2014 is 17.3% ( 17.3 % ) ;"], ["table_2", "year ended december 31 ( in millions ) the operating costs and expenses of 2015 is 1875 ; the operating costs and expenses of 2014 is 1527 ; the operating costs and expenses of 2013 is 1292 ; the operating costs and expenses of % ( % ) change 2014 to 2015 is 22.8 ; the operating costs and expenses of % ( % ) change 2013 to 2014 is 18.1 ;"], ["table_3", "year ended december 31 ( in millions ) the operating income before depreciation and amortization of 2015 is $ 1464 ; the operating income before depreciation and amortization of 2014 is $ 1096 ; the operating income before depreciation and amortization of 2013 is $ 943 ; the operating income before depreciation and amortization of % ( % ) change 2014 to 2015 is 33.5% ( 33.5 % ) ; the operating income before depreciation and amortization of % ( % ) change 2013 to 2014 is 16.3% ( 16.3 % ) ;"]]}, "answers": ["44%"]}, "rejected_source": {"id": "CMCSA/2015/page_62.pdf-2", "qa": {"question": "what was the operating profit margin for the year of 2014?", "answer": "42%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1096", "arg2": "2623", "res": "42%"}], "program": "divide(1096, 2623)", "gold_inds": {"table_1": "year ended december 31 ( in millions ) the revenue of 2015 is $ 3339 ; the revenue of 2014 is $ 2623 ; the revenue of 2013 is $ 2235 ; the revenue of % ( % ) change 2014 to 2015 is 27.3% ( 27.3 % ) ; the revenue of % ( % ) change 2013 to 2014 is 17.3% ( 17.3 % ) ;", "table_3": "year ended december 31 ( in millions ) the operating income before depreciation and amortization of 2015 is $ 1464 ; the operating income before depreciation and amortization of 2014 is $ 1096 ; the operating income before depreciation and amortization of 2013 is $ 943 ; the operating income before depreciation and amortization of % ( % ) change 2014 to 2015 is 33.5% ( 33.5 % ) ; the operating income before depreciation and amortization of % ( % ) change 2013 to 2014 is 16.3% ( 16.3 % ) ;"}, "exe_ans": 0.41784, "tfidftopn": {"table_2": "year ended december 31 ( in millions ) The operating costs and expenses of 2015 is 1875 ; The operating costs and expenses of 2014 is 1527 ; The operating costs and expenses of 2013 is 1292 ; The operating costs and expenses of % ( % ) change 2014 to 2015 is 22.8 ; The operating costs and expenses of % ( % ) change 2013 to 2014 is 18.1 ;"}, "program_re": "divide(1096, 2623)", "model_input": [["table_1", "year ended december 31 ( in millions ) the revenue of 2015 is $ 3339 ; the revenue of 2014 is $ 2623 ; the revenue of 2013 is $ 2235 ; the revenue of % ( % ) change 2014 to 2015 is 27.3% ( 27.3 % ) ; the revenue of % ( % ) change 2013 to 2014 is 17.3% ( 17.3 % ) ;"], ["table_2", "year ended december 31 ( in millions ) the operating costs and expenses of 2015 is 1875 ; the operating costs and expenses of 2014 is 1527 ; the operating costs and expenses of 2013 is 1292 ; the operating costs and expenses of % ( % ) change 2014 to 2015 is 22.8 ; the operating costs and expenses of % ( % ) change 2013 to 2014 is 18.1 ;"], ["table_3", "year ended december 31 ( in millions ) the operating income before depreciation and amortization of 2015 is $ 1464 ; the operating income before depreciation and amortization of 2014 is $ 1096 ; the operating income before depreciation and amortization of 2013 is $ 943 ; the operating income before depreciation and amortization of % ( % ) change 2014 to 2015 is 33.5% ( 33.5 % ) ; the operating income before depreciation and amortization of % ( % ) change 2013 to 2014 is 16.3% ( 16.3 % ) ;"]]}, "answers": ["42%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000683", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental expense between 2003 and 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "-6%.", "rejected": "102%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HOLX || what was the percentage change in rental expense <TIME>?", "doc_prefix": "HOLX", "base_question": "what was the percentage change in rental expense <TIME>?", "original_question": "what was the percentage change in rental expense between 2003 and 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"102%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003"}], "-6%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}]}, "chosen_source": {"id": "HOLX/2004/page_87.pdf-2", "qa": {"question": "what was the percentage change in rental expense between 2003 and 2004?", "answer": "-6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus2-1", "arg1": "4660", "arg2": "4963", "res": "-303"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4963", "res": "-6%"}], "program": "subtract(4660, 4963), divide(#0, 4963)", "gold_inds": {"text_3": "rental expense , net of sublease income , was approximately $ 4660 , $ 4963 , and $ 2462 for fiscal 2004 , 2003 and 2002 , respectively ."}, "exe_ans": -0.06105, "tfidftopn": {"text_2": "the company subleases a portion of its bedford facility and has received rental income of $ 277 , $ 410 and $ 682 for fiscal years 2004 , 2003 and 2002 , respectively , which has been recorded as an offset to rent expense in the accompanying statements of income .", "text_11": "as a result of the company 2019s implementation of a company wide integrated software application in fiscal 2003 , identifiable assets for the four principal operating segments only consist of inventories , intangible assets , and property and equipment ."}, "program_re": "divide(subtract(4660, 4963), 4963)", "model_input": [["table_7", "fiscal years ending the total ( not reduced by minimum sublease rentals of $ 165 ) of amount is $ 60359 ;"], ["text_2", "the company subleases a portion of its bedford facility and has received rental income of $ 277 , $ 410 and $ 682 for fiscal years 2004 , 2003 and 2002 , respectively , which has been recorded as an offset to rent expense in the accompanying statements of income ."], ["text_3", "rental expense , net of sublease income , was approximately $ 4660 , $ 4963 , and $ 2462 for fiscal 2004 , 2003 and 2002 , respectively ."]]}, "answers": ["-6%"]}, "rejected_source": {"id": "HOLX/2004/page_87.pdf-1", "qa": {"question": "what was the percentage change in rental expense between 2002 and 2003?", "answer": "102%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus1-1", "arg1": "4963", "arg2": "2462", "res": "2501"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2462", "res": "102%"}], "program": "subtract(4963, 2462), divide(#0, 2462)", "gold_inds": {"text_3": "rental expense , net of sublease income , was approximately $ 4660 , $ 4963 , and $ 2462 for fiscal 2004 , 2003 and 2002 , respectively ."}, "exe_ans": 1.01584, "tfidftopn": {"text_2": "the company subleases a portion of its bedford facility and has received rental income of $ 277 , $ 410 and $ 682 for fiscal years 2004 , 2003 and 2002 , respectively , which has been recorded as an offset to rent expense in the accompanying statements of income .", "text_11": "as a result of the company 2019s implementation of a company wide integrated software application in fiscal 2003 , identifiable assets for the four principal operating segments only consist of inventories , intangible assets , and property and equipment ."}, "program_re": "divide(subtract(4963, 2462), 2462)", "model_input": [["table_7", "fiscal years ending the total ( not reduced by minimum sublease rentals of $ 165 ) of amount is $ 60359 ;"], ["text_2", "the company subleases a portion of its bedford facility and has received rental income of $ 277 , $ 410 and $ 682 for fiscal years 2004 , 2003 and 2002 , respectively , which has been recorded as an offset to rent expense in the accompanying statements of income ."], ["text_3", "rental expense , net of sublease income , was approximately $ 4660 , $ 4963 , and $ 2462 for fiscal 2004 , 2003 and 2002 , respectively ."]]}, "answers": ["102%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000684", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental expense between 2002 and 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "102%.", "rejected": "-6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HOLX || what was the percentage change in rental expense <TIME>?", "doc_prefix": "HOLX", "base_question": "what was the percentage change in rental expense <TIME>?", "original_question": "what was the percentage change in rental expense between 2002 and 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"102%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003"}], "-6%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}]}, "chosen_source": {"id": "HOLX/2004/page_87.pdf-1", "qa": {"question": "what was the percentage change in rental expense between 2002 and 2003?", "answer": "102%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus1-1", "arg1": "4963", "arg2": "2462", "res": "2501"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2462", "res": "102%"}], "program": "subtract(4963, 2462), divide(#0, 2462)", "gold_inds": {"text_3": "rental expense , net of sublease income , was approximately $ 4660 , $ 4963 , and $ 2462 for fiscal 2004 , 2003 and 2002 , respectively ."}, "exe_ans": 1.01584, "tfidftopn": {"text_2": "the company subleases a portion of its bedford facility and has received rental income of $ 277 , $ 410 and $ 682 for fiscal years 2004 , 2003 and 2002 , respectively , which has been recorded as an offset to rent expense in the accompanying statements of income .", "text_11": "as a result of the company 2019s implementation of a company wide integrated software application in fiscal 2003 , identifiable assets for the four principal operating segments only consist of inventories , intangible assets , and property and equipment ."}, "program_re": "divide(subtract(4963, 2462), 2462)", "model_input": [["table_7", "fiscal years ending the total ( not reduced by minimum sublease rentals of $ 165 ) of amount is $ 60359 ;"], ["text_2", "the company subleases a portion of its bedford facility and has received rental income of $ 277 , $ 410 and $ 682 for fiscal years 2004 , 2003 and 2002 , respectively , which has been recorded as an offset to rent expense in the accompanying statements of income ."], ["text_3", "rental expense , net of sublease income , was approximately $ 4660 , $ 4963 , and $ 2462 for fiscal 2004 , 2003 and 2002 , respectively ."]]}, "answers": ["102%"]}, "rejected_source": {"id": "HOLX/2004/page_87.pdf-2", "qa": {"question": "what was the percentage change in rental expense between 2003 and 2004?", "answer": "-6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus2-1", "arg1": "4660", "arg2": "4963", "res": "-303"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4963", "res": "-6%"}], "program": "subtract(4660, 4963), divide(#0, 4963)", "gold_inds": {"text_3": "rental expense , net of sublease income , was approximately $ 4660 , $ 4963 , and $ 2462 for fiscal 2004 , 2003 and 2002 , respectively ."}, "exe_ans": -0.06105, "tfidftopn": {"text_2": "the company subleases a portion of its bedford facility and has received rental income of $ 277 , $ 410 and $ 682 for fiscal years 2004 , 2003 and 2002 , respectively , which has been recorded as an offset to rent expense in the accompanying statements of income .", "text_11": "as a result of the company 2019s implementation of a company wide integrated software application in fiscal 2003 , identifiable assets for the four principal operating segments only consist of inventories , intangible assets , and property and equipment ."}, "program_re": "divide(subtract(4660, 4963), 4963)", "model_input": [["table_7", "fiscal years ending the total ( not reduced by minimum sublease rentals of $ 165 ) of amount is $ 60359 ;"], ["text_2", "the company subleases a portion of its bedford facility and has received rental income of $ 277 , $ 410 and $ 682 for fiscal years 2004 , 2003 and 2002 , respectively , which has been recorded as an offset to rent expense in the accompanying statements of income ."], ["text_3", "rental expense , net of sublease income , was approximately $ 4660 , $ 4963 , and $ 2462 for fiscal 2004 , 2003 and 2002 , respectively ."]]}, "answers": ["-6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000685", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in total impact between 2014 and 2015 , in millions?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-1.", "rejected": "23.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what was the difference in total impact <TIME> , in millions?", "doc_prefix": "FIS", "base_question": "what was the difference in total impact <TIME> , in millions?", "original_question": "what was the difference in total impact between 2014 and 2015 , in millions?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}], "23": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016"}]}, "chosen_source": {"id": "FIS/2016/page_49.pdf-1", "qa": {"question": "what was the difference in total impact between 2014 and 2015 , in millions?", "answer": "-1", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "106", "arg2": "107", "res": "-1"}], "program": "subtract(106, 107)", "gold_inds": {"table_5": "currency the total impact of 2016 is $ 129 ; the total impact of 2015 is $ 106 ; the total impact of 2014 is $ 107 ;"}, "exe_ans": -1.0, "tfidftopn": {"text_14": "a 10% ( 10 % ) move in average exchange rates for these currencies ( assuming a simultaneous and immediate 10% ( 10 % ) change in all of such rates for the relevant period ) would have resulted in the following increase or ( decrease ) in our reported revenues for the years ended december 31 , 2016 , 2015 and 2014 ( in millions ) : .", "text_16": "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."}, "program_re": "subtract(106, 107)", "model_input": [["text_11", "during the years ended december 31 , 2016 , 2015 and 2014 , we generated approximately $ 1909 million , $ 1336 million and $ 1229 million , respectively , in revenues denominated in currencies other than the u.s ."], ["table_5", "currency the total impact of 2016 is $ 129 ; the total impact of 2015 is $ 106 ; the total impact of 2014 is $ 107 ;"], ["text_16", "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."]]}, "answers": ["-1"]}, "rejected_source": {"id": "FIS/2016/page_49.pdf-3", "qa": {"question": "what was the difference in total impact between 2015 and 2016 , in millions?", "answer": "23", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "129", "arg2": "106", "res": "23"}], "program": "subtract(129, 106)", "gold_inds": {"table_5": "currency the total impact of 2016 is $ 129 ; the total impact of 2015 is $ 106 ; the total impact of 2014 is $ 107 ;"}, "exe_ans": 23.0, "tfidftopn": {"text_14": "a 10% ( 10 % ) move in average exchange rates for these currencies ( assuming a simultaneous and immediate 10% ( 10 % ) change in all of such rates for the relevant period ) would have resulted in the following increase or ( decrease ) in our reported revenues for the years ended december 31 , 2016 , 2015 and 2014 ( in millions ) : .", "text_16": "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."}, "program_re": "subtract(129, 106)", "model_input": [["text_11", "during the years ended december 31 , 2016 , 2015 and 2014 , we generated approximately $ 1909 million , $ 1336 million and $ 1229 million , respectively , in revenues denominated in currencies other than the u.s ."], ["table_5", "currency the total impact of 2016 is $ 129 ; the total impact of 2015 is $ 106 ; the total impact of 2014 is $ 107 ;"], ["text_16", "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."]]}, "answers": ["23"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000686", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in total impact between 2015 and 2016 , in millions?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "23.", "rejected": "-1.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what was the difference in total impact <TIME> , in millions?", "doc_prefix": "FIS", "base_question": "what was the difference in total impact <TIME> , in millions?", "original_question": "what was the difference in total impact between 2015 and 2016 , in millions?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}], "23": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016"}]}, "chosen_source": {"id": "FIS/2016/page_49.pdf-3", "qa": {"question": "what was the difference in total impact between 2015 and 2016 , in millions?", "answer": "23", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "129", "arg2": "106", "res": "23"}], "program": "subtract(129, 106)", "gold_inds": {"table_5": "currency the total impact of 2016 is $ 129 ; the total impact of 2015 is $ 106 ; the total impact of 2014 is $ 107 ;"}, "exe_ans": 23.0, "tfidftopn": {"text_14": "a 10% ( 10 % ) move in average exchange rates for these currencies ( assuming a simultaneous and immediate 10% ( 10 % ) change in all of such rates for the relevant period ) would have resulted in the following increase or ( decrease ) in our reported revenues for the years ended december 31 , 2016 , 2015 and 2014 ( in millions ) : .", "text_16": "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."}, "program_re": "subtract(129, 106)", "model_input": [["text_11", "during the years ended december 31 , 2016 , 2015 and 2014 , we generated approximately $ 1909 million , $ 1336 million and $ 1229 million , respectively , in revenues denominated in currencies other than the u.s ."], ["table_5", "currency the total impact of 2016 is $ 129 ; the total impact of 2015 is $ 106 ; the total impact of 2014 is $ 107 ;"], ["text_16", "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."]]}, "answers": ["23"]}, "rejected_source": {"id": "FIS/2016/page_49.pdf-1", "qa": {"question": "what was the difference in total impact between 2014 and 2015 , in millions?", "answer": "-1", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "106", "arg2": "107", "res": "-1"}], "program": "subtract(106, 107)", "gold_inds": {"table_5": "currency the total impact of 2016 is $ 129 ; the total impact of 2015 is $ 106 ; the total impact of 2014 is $ 107 ;"}, "exe_ans": -1.0, "tfidftopn": {"text_14": "a 10% ( 10 % ) move in average exchange rates for these currencies ( assuming a simultaneous and immediate 10% ( 10 % ) change in all of such rates for the relevant period ) would have resulted in the following increase or ( decrease ) in our reported revenues for the years ended december 31 , 2016 , 2015 and 2014 ( in millions ) : .", "text_16": "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."}, "program_re": "subtract(106, 107)", "model_input": [["text_11", "during the years ended december 31 , 2016 , 2015 and 2014 , we generated approximately $ 1909 million , $ 1336 million and $ 1229 million , respectively , in revenues denominated in currencies other than the u.s ."], ["table_5", "currency the total impact of 2016 is $ 129 ; the total impact of 2015 is $ 106 ; the total impact of 2014 is $ 107 ;"], ["text_16", "revenues included $ 100 million and $ 243 million and net earnings included $ 10 million , anrr d $ 31 million , respectively , of unfavorable foreign currency impact during 2016 and 2015 resulting from a stronger u.s ."]]}, "answers": ["-1"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000687", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum lease payments under the capital lease obligations is due in 2019?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "11%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISH || what percentage of future minimum lease payments under the capital lease obligations is due <TIME>?", "doc_prefix": "DISH", "base_question": "what percentage of future minimum lease payments under the capital lease obligations is due <TIME>?", "original_question": "what percentage of future minimum lease payments under the capital lease obligations is due in 2019?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "12%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "DISH/2014/page_142.pdf-2", "qa": {"question": "what percentage of future minimum lease payments under the capital lease obligations is due in 2019?", "answer": "11%", "explanation": "", "ann_table_rows": [4, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "50331", "arg2": "468218", "res": "11%"}], "program": "divide(50331, 468218)", "gold_inds": {"table_4": "2015 the 2019 of $ 77089 is 50331 ;", "table_6": "2015 the total minimum lease payments of $ 77089 is 468218 ;"}, "exe_ans": 0.10749, "tfidftopn": {"text_10": "future minimum lease payments under the capital lease obligations , together with the present value of the net minimum lease payments as of december 31 , 2014 are as follows ( in thousands ) : for the years ended december 31 ."}, "program_re": "divide(50331, 468218)", "model_input": [["table_4", "2015 the 2019 of $ 77089 is 50331 ;"], ["table_6", "2015 the total minimum lease payments of $ 77089 is 468218 ;"], ["table_8", "2015 the net minimum lease payments of $ 77089 is 247335 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "DISH/2015/page_142.pdf-2", "qa": {"question": "what percentage of future minimum lease payments under the capital lease obligations is due in 2020?", "answer": "12%", "explanation": "", "ann_table_rows": [4, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "48000", "arg2": "390719", "res": "12%"}], "program": "divide(48000, 390719)", "gold_inds": {"table_4": "2016 the 2020 of $ 76676 is 48000 ;", "table_6": "2016 the total minimum lease payments of $ 76676 is 390719 ;"}, "exe_ans": 0.12285, "tfidftopn": {"text_0": "dish network corporation notes to consolidated financial statements - continued future minimum lease payments under the capital lease obligations , together with the present value of the net minimum lease payments as of december 31 , 2015 are as follows ( in thousands ) : for the years ended december 31 ."}, "program_re": "divide(48000, 390719)", "model_input": [["table_4", "2016 the 2020 of $ 76676 is 48000 ;"], ["table_6", "2016 the total minimum lease payments of $ 76676 is 390719 ;"], ["table_8", "2016 the net minimum lease payments of $ 76676 is 203977 ;"]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000688", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum lease payments under the capital lease obligations is due in 2020?\nReference time interval: 2020-01-01 00:00:00 to 2021-01-01 00:00:00", "chosen": "12%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISH || what percentage of future minimum lease payments under the capital lease obligations is due <TIME>?", "doc_prefix": "DISH", "base_question": "what percentage of future minimum lease payments under the capital lease obligations is due <TIME>?", "original_question": "what percentage of future minimum lease payments under the capital lease obligations is due in 2020?", "reference_time": {"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "12%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "DISH/2015/page_142.pdf-2", "qa": {"question": "what percentage of future minimum lease payments under the capital lease obligations is due in 2020?", "answer": "12%", "explanation": "", "ann_table_rows": [4, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "48000", "arg2": "390719", "res": "12%"}], "program": "divide(48000, 390719)", "gold_inds": {"table_4": "2016 the 2020 of $ 76676 is 48000 ;", "table_6": "2016 the total minimum lease payments of $ 76676 is 390719 ;"}, "exe_ans": 0.12285, "tfidftopn": {"text_0": "dish network corporation notes to consolidated financial statements - continued future minimum lease payments under the capital lease obligations , together with the present value of the net minimum lease payments as of december 31 , 2015 are as follows ( in thousands ) : for the years ended december 31 ."}, "program_re": "divide(48000, 390719)", "model_input": [["table_4", "2016 the 2020 of $ 76676 is 48000 ;"], ["table_6", "2016 the total minimum lease payments of $ 76676 is 390719 ;"], ["table_8", "2016 the net minimum lease payments of $ 76676 is 203977 ;"]]}, "answers": ["12%"]}, "rejected_source": {"id": "DISH/2014/page_142.pdf-2", "qa": {"question": "what percentage of future minimum lease payments under the capital lease obligations is due in 2019?", "answer": "11%", "explanation": "", "ann_table_rows": [4, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "50331", "arg2": "468218", "res": "11%"}], "program": "divide(50331, 468218)", "gold_inds": {"table_4": "2015 the 2019 of $ 77089 is 50331 ;", "table_6": "2015 the total minimum lease payments of $ 77089 is 468218 ;"}, "exe_ans": 0.10749, "tfidftopn": {"text_10": "future minimum lease payments under the capital lease obligations , together with the present value of the net minimum lease payments as of december 31 , 2014 are as follows ( in thousands ) : for the years ended december 31 ."}, "program_re": "divide(50331, 468218)", "model_input": [["table_4", "2015 the 2019 of $ 77089 is 50331 ;"], ["table_6", "2015 the total minimum lease payments of $ 77089 is 468218 ;"], ["table_8", "2015 the net minimum lease payments of $ 77089 is 247335 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000689", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the debt-to-equity ratio in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "0.77.", "rejected": "0.98.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the debt-to-equity ratio <TIME>?", "doc_prefix": "GS", "base_question": "what is the debt-to-equity ratio <TIME>?", "original_question": "what is the debt-to-equity ratio in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"0.77": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "0.98": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_108.pdf-3", "qa": {"question": "what is the debt-to-equity ratio in 2017?", "answer": "0.77", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1606", "arg2": "2096", "res": "0.77"}], "program": "divide(1606, 2096)", "gold_inds": {"table_1": "$ in millions the equity of as of december 2018 is $ 1923 ; the equity of as of december 2017 is $ 2096 ;", "table_2": "$ in millions the debt of as of december 2018 is 1890 ; the debt of as of december 2017 is 1606 ;"}, "exe_ans": 0.76622, "tfidftopn": {"text_11": "2030 funded equity and debt positions are included in our consolidated statements of financial condition in financial instruments owned ."}, "program_re": "divide(1606, 2096)", "model_input": [["table_1", "$ in millions the equity of as of december 2018 is $ 1923 ; the equity of as of december 2017 is $ 2096 ;"], ["table_2", "$ in millions the debt of as of december 2018 is 1890 ; the debt of as of december 2017 is 1606 ;"], ["table_3", "$ in millions the total of as of december 2018 is $ 3813 ; the total of as of december 2017 is $ 3702 ;"]]}, "answers": ["0.77"]}, "rejected_source": {"id": "GS/2018/page_108.pdf-4", "qa": {"question": "what is the debt-to-equity ratio in 2018?", "answer": "0.98", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1890", "arg2": "1923", "res": "0.98"}], "program": "divide(1890, 1923)", "gold_inds": {"table_1": "$ in millions the equity of as of december 2018 is $ 1923 ; the equity of as of december 2017 is $ 2096 ;", "table_2": "$ in millions the debt of as of december 2018 is 1890 ; the debt of as of december 2017 is 1606 ;"}, "exe_ans": 0.98284, "tfidftopn": {"text_11": "2030 funded equity and debt positions are included in our consolidated statements of financial condition in financial instruments owned ."}, "program_re": "divide(1890, 1923)", "model_input": [["table_1", "$ in millions the equity of as of december 2018 is $ 1923 ; the equity of as of december 2017 is $ 2096 ;"], ["table_2", "$ in millions the debt of as of december 2018 is 1890 ; the debt of as of december 2017 is 1606 ;"], ["table_3", "$ in millions the total of as of december 2018 is $ 3813 ; the total of as of december 2017 is $ 3702 ;"]]}, "answers": ["0.98"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000690", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the debt-to-equity ratio in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "0.98.", "rejected": "0.77.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the debt-to-equity ratio <TIME>?", "doc_prefix": "GS", "base_question": "what is the debt-to-equity ratio <TIME>?", "original_question": "what is the debt-to-equity ratio in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"0.77": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "0.98": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_108.pdf-4", "qa": {"question": "what is the debt-to-equity ratio in 2018?", "answer": "0.98", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1890", "arg2": "1923", "res": "0.98"}], "program": "divide(1890, 1923)", "gold_inds": {"table_1": "$ in millions the equity of as of december 2018 is $ 1923 ; the equity of as of december 2017 is $ 2096 ;", "table_2": "$ in millions the debt of as of december 2018 is 1890 ; the debt of as of december 2017 is 1606 ;"}, "exe_ans": 0.98284, "tfidftopn": {"text_11": "2030 funded equity and debt positions are included in our consolidated statements of financial condition in financial instruments owned ."}, "program_re": "divide(1890, 1923)", "model_input": [["table_1", "$ in millions the equity of as of december 2018 is $ 1923 ; the equity of as of december 2017 is $ 2096 ;"], ["table_2", "$ in millions the debt of as of december 2018 is 1890 ; the debt of as of december 2017 is 1606 ;"], ["table_3", "$ in millions the total of as of december 2018 is $ 3813 ; the total of as of december 2017 is $ 3702 ;"]]}, "answers": ["0.98"]}, "rejected_source": {"id": "GS/2018/page_108.pdf-3", "qa": {"question": "what is the debt-to-equity ratio in 2017?", "answer": "0.77", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1606", "arg2": "2096", "res": "0.77"}], "program": "divide(1606, 2096)", "gold_inds": {"table_1": "$ in millions the equity of as of december 2018 is $ 1923 ; the equity of as of december 2017 is $ 2096 ;", "table_2": "$ in millions the debt of as of december 2018 is 1890 ; the debt of as of december 2017 is 1606 ;"}, "exe_ans": 0.76622, "tfidftopn": {"text_11": "2030 funded equity and debt positions are included in our consolidated statements of financial condition in financial instruments owned ."}, "program_re": "divide(1606, 2096)", "model_input": [["table_1", "$ in millions the equity of as of december 2018 is $ 1923 ; the equity of as of december 2017 is $ 2096 ;"], ["table_2", "$ in millions the debt of as of december 2018 is 1890 ; the debt of as of december 2017 is 1606 ;"], ["table_3", "$ in millions the total of as of december 2018 is $ 3813 ; the total of as of december 2017 is $ 3702 ;"]]}, "answers": ["0.77"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000691", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at 2018 different from 2017?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-7761.", "rejected": "6606.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at <TIME> different from <TIME>?", "doc_prefix": "GS", "base_question": "by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at <TIME> different from <TIME>?", "original_question": "by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at 2018 different from 2017?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6606": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-7761": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2012/page_152.pdf-1", "qa": {"question": "by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at 2018 different from 2017?", "answer": "-7761", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-4063", "arg2": "3698", "res": "-7761"}], "program": "subtract(-4063, 3698)", "gold_inds": {"table_7": "in millions the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is $ -4063 ( 4063 ) ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is $ 3698 ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is $ -2908 ( 2908 ) ;"}, "exe_ans": -7761.0, "tfidftopn": {"text_0": "notes to consolidated financial statements gains and losses on financial assets and financial liabilities accounted for at fair value under the fair value option the table below presents the gains and losses recognized as a result of the firm electing to apply the fair value option to certain financial assets and financial liabilities .", "table_6": "in millions The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is -81 ( 81 ) ; The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is 90 ; The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is -10 ( 10 ) ;"}, "program_re": "subtract(-4063, 3698)", "model_input": [["text_0", "notes to consolidated financial statements gains and losses on financial assets and financial liabilities accounted for at fair value under the fair value option the table below presents the gains and losses recognized as a result of the firm electing to apply the fair value option to certain financial assets and financial liabilities ."], ["text_6", "gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december in millions 2012 2011 2010 receivables from customers and counterparties 1 $ 190 $ 97 $ ( 97 ) ."], ["table_7", "in millions the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is $ -4063 ( 4063 ) ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is $ 3698 ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is $ -2908 ( 2908 ) ;"]]}, "answers": ["-7761"]}, "rejected_source": {"id": "GS/2012/page_152.pdf-2", "qa": {"question": "by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at 2017 different from 2016?", "answer": "6606", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3698", "arg2": "-2908", "res": "6606"}], "program": "subtract(3698, -2908)", "gold_inds": {"table_7": "in millions the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is $ -4063 ( 4063 ) ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is $ 3698 ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is $ -2908 ( 2908 ) ;"}, "exe_ans": 6606.0, "tfidftopn": {"text_0": "notes to consolidated financial statements gains and losses on financial assets and financial liabilities accounted for at fair value under the fair value option the table below presents the gains and losses recognized as a result of the firm electing to apply the fair value option to certain financial assets and financial liabilities .", "table_6": "in millions The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is -81 ( 81 ) ; The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is 90 ; The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is -10 ( 10 ) ;"}, "program_re": "subtract(3698, -2908)", "model_input": [["text_0", "notes to consolidated financial statements gains and losses on financial assets and financial liabilities accounted for at fair value under the fair value option the table below presents the gains and losses recognized as a result of the firm electing to apply the fair value option to certain financial assets and financial liabilities ."], ["text_6", "gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december in millions 2012 2011 2010 receivables from customers and counterparties 1 $ 190 $ 97 $ ( 97 ) ."], ["table_7", "in millions the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is $ -4063 ( 4063 ) ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is $ 3698 ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is $ -2908 ( 2908 ) ;"]]}, "answers": ["6606"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000692", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at 2017 different from 2016?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "6606.", "rejected": "-7761.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at <TIME> different from <TIME>?", "doc_prefix": "GS", "base_question": "by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at <TIME> different from <TIME>?", "original_question": "by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at 2017 different from 2016?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6606": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-7761": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2012/page_152.pdf-2", "qa": {"question": "by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at 2017 different from 2016?", "answer": "6606", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3698", "arg2": "-2908", "res": "6606"}], "program": "subtract(3698, -2908)", "gold_inds": {"table_7": "in millions the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is $ -4063 ( 4063 ) ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is $ 3698 ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is $ -2908 ( 2908 ) ;"}, "exe_ans": 6606.0, "tfidftopn": {"text_0": "notes to consolidated financial statements gains and losses on financial assets and financial liabilities accounted for at fair value under the fair value option the table below presents the gains and losses recognized as a result of the firm electing to apply the fair value option to certain financial assets and financial liabilities .", "table_6": "in millions The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is -81 ( 81 ) ; The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is 90 ; The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is -10 ( 10 ) ;"}, "program_re": "subtract(3698, -2908)", "model_input": [["text_0", "notes to consolidated financial statements gains and losses on financial assets and financial liabilities accounted for at fair value under the fair value option the table below presents the gains and losses recognized as a result of the firm electing to apply the fair value option to certain financial assets and financial liabilities ."], ["text_6", "gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december in millions 2012 2011 2010 receivables from customers and counterparties 1 $ 190 $ 97 $ ( 97 ) ."], ["table_7", "in millions the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is $ -4063 ( 4063 ) ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is $ 3698 ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is $ -2908 ( 2908 ) ;"]]}, "answers": ["6606"]}, "rejected_source": {"id": "GS/2012/page_152.pdf-1", "qa": {"question": "by what amount is the total gains/ ( losses ) on financial assets and financial liabilities at fair value at 2018 different from 2017?", "answer": "-7761", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-4063", "arg2": "3698", "res": "-7761"}], "program": "subtract(-4063, 3698)", "gold_inds": {"table_7": "in millions the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is $ -4063 ( 4063 ) ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is $ 3698 ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is $ -2908 ( 2908 ) ;"}, "exe_ans": -7761.0, "tfidftopn": {"text_0": "notes to consolidated financial statements gains and losses on financial assets and financial liabilities accounted for at fair value under the fair value option the table below presents the gains and losses recognized as a result of the firm electing to apply the fair value option to certain financial assets and financial liabilities .", "table_6": "in millions The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is -81 ( 81 ) ; The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is 90 ; The other5 of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is -10 ( 10 ) ;"}, "program_re": "subtract(-4063, 3698)", "model_input": [["text_0", "notes to consolidated financial statements gains and losses on financial assets and financial liabilities accounted for at fair value under the fair value option the table below presents the gains and losses recognized as a result of the firm electing to apply the fair value option to certain financial assets and financial liabilities ."], ["text_6", "gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december in millions 2012 2011 2010 receivables from customers and counterparties 1 $ 190 $ 97 $ ( 97 ) ."], ["table_7", "in millions the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2012 is $ -4063 ( 4063 ) ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2011 is $ 3698 ; the total of gains/ ( losses ) on financial assets and financial liabilities at fair value under the fair value option year ended december 2010 is $ -2908 ( 2908 ) ;"]]}, "answers": ["-7761"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000693", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 for the year of 2008 are due to maturities of long-term debt?\nReference time interval: 2007-12-31 00:00:00 to 2008-01-01 00:00:00", "chosen": "11%.", "rejected": "76%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> for the year of <TIME> are due to maturities of long-term debt?", "doc_prefix": "IP", "base_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> for the year of <TIME> are due to maturities of long-term debt?", "original_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 for the year of 2008 are due to maturities of long-term debt?", "reference_time": {"start": "2007-12-31 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"76%": [{"start": "2007-12-31 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007-12-31"}], "11%": [{"start": "2007-12-31 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007-12-31"}]}, "chosen_source": {"id": "IP/2007/page_38.pdf-1", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 for the year of 2008 are due to maturities of long-term debt?", "answer": "11%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "267", "arg2": "2356", "res": "11%"}], "program": "divide(267, 2356)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2008 is $ 267 ; the maturities of long-term debt ( a ) of 2009 is $ 1300 ; the maturities of long-term debt ( a ) of 2010 is $ 1069 ; the maturities of long-term debt ( a ) of 2011 is $ 396 ; the maturities of long-term debt ( a ) of 2012 is $ 532 ; the maturities of long-term debt ( a ) of thereafter is $ 3056 ;", "table_5": "in millions the total ( d ) of 2008 is $ 2356 ; the total ( d ) of 2009 is $ 1710 ; the total ( d ) of 2010 is $ 1431 ; the total ( d ) of 2011 is $ 715 ; the total ( d ) of 2012 is $ 811 ; the total ( d ) of thereafter is $ 9628 ;"}, "exe_ans": 0.11333, "tfidftopn": {"text_22": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 , were as follows : in millions 2008 2009 2010 2011 2012 thereafter maturities of long-term debt ( a ) $ 267 $ 1300 $ 1069 $ 396 $ 532 $ 3056 debt obligations with right of offset ( b ) 2013 2013 2013 2013 2013 5000 ."}, "program_re": "divide(267, 2356)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2008 is $ 267 ; the maturities of long-term debt ( a ) of 2009 is $ 1300 ; the maturities of long-term debt ( a ) of 2010 is $ 1069 ; the maturities of long-term debt ( a ) of 2011 is $ 396 ; the maturities of long-term debt ( a ) of 2012 is $ 532 ; the maturities of long-term debt ( a ) of thereafter is $ 3056 ;"], ["table_5", "in millions the total ( d ) of 2008 is $ 2356 ; the total ( d ) of 2009 is $ 1710 ; the total ( d ) of 2010 is $ 1431 ; the total ( d ) of 2011 is $ 715 ; the total ( d ) of 2012 is $ 811 ; the total ( d ) of thereafter is $ 9628 ;"], ["text_27", "( d ) not included in the above table are unrecognized tax benefits of approximately $ 280 million. ."]]}, "answers": ["11%"]}, "rejected_source": {"id": "IP/2007/page_38.pdf-2", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 for the year of 2009 are due to maturities of long-term debt?", "answer": "76%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1300", "arg2": "1710", "res": "76%"}], "program": "divide(1300, 1710)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2008 is $ 267 ; the maturities of long-term debt ( a ) of 2009 is $ 1300 ; the maturities of long-term debt ( a ) of 2010 is $ 1069 ; the maturities of long-term debt ( a ) of 2011 is $ 396 ; the maturities of long-term debt ( a ) of 2012 is $ 532 ; the maturities of long-term debt ( a ) of thereafter is $ 3056 ;", "table_5": "in millions the total ( d ) of 2008 is $ 2356 ; the total ( d ) of 2009 is $ 1710 ; the total ( d ) of 2010 is $ 1431 ; the total ( d ) of 2011 is $ 715 ; the total ( d ) of 2012 is $ 811 ; the total ( d ) of thereafter is $ 9628 ;"}, "exe_ans": 0.76023, "tfidftopn": {"text_22": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 , were as follows : in millions 2008 2009 2010 2011 2012 thereafter maturities of long-term debt ( a ) $ 267 $ 1300 $ 1069 $ 396 $ 532 $ 3056 debt obligations with right of offset ( b ) 2013 2013 2013 2013 2013 5000 ."}, "program_re": "divide(1300, 1710)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2008 is $ 267 ; the maturities of long-term debt ( a ) of 2009 is $ 1300 ; the maturities of long-term debt ( a ) of 2010 is $ 1069 ; the maturities of long-term debt ( a ) of 2011 is $ 396 ; the maturities of long-term debt ( a ) of 2012 is $ 532 ; the maturities of long-term debt ( a ) of thereafter is $ 3056 ;"], ["table_3", "in millions the lease obligations of 2008 is 136 ; the lease obligations of 2009 is 116 ; the lease obligations of 2010 is 101 ; the lease obligations of 2011 is 84 ; the lease obligations of 2012 is 67 ; the lease obligations of thereafter is 92 ;"], ["table_5", "in millions the total ( d ) of 2008 is $ 2356 ; the total ( d ) of 2009 is $ 1710 ; the total ( d ) of 2010 is $ 1431 ; the total ( d ) of 2011 is $ 715 ; the total ( d ) of 2012 is $ 811 ; the total ( d ) of thereafter is $ 9628 ;"]]}, "answers": ["76%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000694", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 for the year of 2009 are due to maturities of long-term debt?\nReference time interval: 2007-12-31 00:00:00 to 2008-01-01 00:00:00", "chosen": "76%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> for the year of <TIME> are due to maturities of long-term debt?", "doc_prefix": "IP", "base_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> for the year of <TIME> are due to maturities of long-term debt?", "original_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 for the year of 2009 are due to maturities of long-term debt?", "reference_time": {"start": "2007-12-31 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"76%": [{"start": "2007-12-31 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007-12-31"}], "11%": [{"start": "2007-12-31 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007-12-31"}]}, "chosen_source": {"id": "IP/2007/page_38.pdf-2", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 for the year of 2009 are due to maturities of long-term debt?", "answer": "76%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1300", "arg2": "1710", "res": "76%"}], "program": "divide(1300, 1710)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2008 is $ 267 ; the maturities of long-term debt ( a ) of 2009 is $ 1300 ; the maturities of long-term debt ( a ) of 2010 is $ 1069 ; the maturities of long-term debt ( a ) of 2011 is $ 396 ; the maturities of long-term debt ( a ) of 2012 is $ 532 ; the maturities of long-term debt ( a ) of thereafter is $ 3056 ;", "table_5": "in millions the total ( d ) of 2008 is $ 2356 ; the total ( d ) of 2009 is $ 1710 ; the total ( d ) of 2010 is $ 1431 ; the total ( d ) of 2011 is $ 715 ; the total ( d ) of 2012 is $ 811 ; the total ( d ) of thereafter is $ 9628 ;"}, "exe_ans": 0.76023, "tfidftopn": {"text_22": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 , were as follows : in millions 2008 2009 2010 2011 2012 thereafter maturities of long-term debt ( a ) $ 267 $ 1300 $ 1069 $ 396 $ 532 $ 3056 debt obligations with right of offset ( b ) 2013 2013 2013 2013 2013 5000 ."}, "program_re": "divide(1300, 1710)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2008 is $ 267 ; the maturities of long-term debt ( a ) of 2009 is $ 1300 ; the maturities of long-term debt ( a ) of 2010 is $ 1069 ; the maturities of long-term debt ( a ) of 2011 is $ 396 ; the maturities of long-term debt ( a ) of 2012 is $ 532 ; the maturities of long-term debt ( a ) of thereafter is $ 3056 ;"], ["table_3", "in millions the lease obligations of 2008 is 136 ; the lease obligations of 2009 is 116 ; the lease obligations of 2010 is 101 ; the lease obligations of 2011 is 84 ; the lease obligations of 2012 is 67 ; the lease obligations of thereafter is 92 ;"], ["table_5", "in millions the total ( d ) of 2008 is $ 2356 ; the total ( d ) of 2009 is $ 1710 ; the total ( d ) of 2010 is $ 1431 ; the total ( d ) of 2011 is $ 715 ; the total ( d ) of 2012 is $ 811 ; the total ( d ) of thereafter is $ 9628 ;"]]}, "answers": ["76%"]}, "rejected_source": {"id": "IP/2007/page_38.pdf-1", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 for the year of 2008 are due to maturities of long-term debt?", "answer": "11%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "267", "arg2": "2356", "res": "11%"}], "program": "divide(267, 2356)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2008 is $ 267 ; the maturities of long-term debt ( a ) of 2009 is $ 1300 ; the maturities of long-term debt ( a ) of 2010 is $ 1069 ; the maturities of long-term debt ( a ) of 2011 is $ 396 ; the maturities of long-term debt ( a ) of 2012 is $ 532 ; the maturities of long-term debt ( a ) of thereafter is $ 3056 ;", "table_5": "in millions the total ( d ) of 2008 is $ 2356 ; the total ( d ) of 2009 is $ 1710 ; the total ( d ) of 2010 is $ 1431 ; the total ( d ) of 2011 is $ 715 ; the total ( d ) of 2012 is $ 811 ; the total ( d ) of thereafter is $ 9628 ;"}, "exe_ans": 0.11333, "tfidftopn": {"text_22": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2007 , were as follows : in millions 2008 2009 2010 2011 2012 thereafter maturities of long-term debt ( a ) $ 267 $ 1300 $ 1069 $ 396 $ 532 $ 3056 debt obligations with right of offset ( b ) 2013 2013 2013 2013 2013 5000 ."}, "program_re": "divide(267, 2356)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2008 is $ 267 ; the maturities of long-term debt ( a ) of 2009 is $ 1300 ; the maturities of long-term debt ( a ) of 2010 is $ 1069 ; the maturities of long-term debt ( a ) of 2011 is $ 396 ; the maturities of long-term debt ( a ) of 2012 is $ 532 ; the maturities of long-term debt ( a ) of thereafter is $ 3056 ;"], ["table_5", "in millions the total ( d ) of 2008 is $ 2356 ; the total ( d ) of 2009 is $ 1710 ; the total ( d ) of 2010 is $ 1431 ; the total ( d ) of 2011 is $ 715 ; the total ( d ) of 2012 is $ 811 ; the total ( d ) of thereafter is $ 9628 ;"], ["text_27", "( d ) not included in the above table are unrecognized tax benefits of approximately $ 280 million. ."]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000695", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in employee compensation during 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "23.", "rejected": "27.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HII || what is the net change in employee compensation <TIME>?", "doc_prefix": "HII", "base_question": "what is the net change in employee compensation <TIME>?", "original_question": "what is the net change in employee compensation during 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"27": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "23": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "HII/2011/page_90.pdf-1", "qa": {"question": "what is the net change in employee compensation during 2011?", "answer": "23", "explanation": "", "ann_table_rows": [5, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "50", "arg2": "27", "res": "23"}], "program": "subtract(50, 27)", "gold_inds": {"table_5": "( $ in millions ) the balance at december 31 2010 of employee compensation is $ 27 ; the balance at december 31 2010 of other accruals is $ 39 ; the balance at december 31 2010 of total is $ 66 ;", "table_9": "( $ in millions ) the balance at december 31 2011 of employee compensation is $ 50 ; the balance at december 31 2011 of other accruals is $ 0 ; the balance at december 31 2011 of total is $ 50 ;"}, "exe_ans": 23.0, "tfidftopn": {"text_27": "( $ in millions ) employee compensation other accruals total ."}, "program_re": "subtract(50, 27)", "model_input": [["table_1", "( $ in millions ) the balance at january 1 2010 of employee compensation is $ 0 ; the balance at january 1 2010 of other accruals is $ 0 ; the balance at january 1 2010 of total is $ 0 ;"], ["table_5", "( $ in millions ) the balance at december 31 2010 of employee compensation is $ 27 ; the balance at december 31 2010 of other accruals is $ 39 ; the balance at december 31 2010 of total is $ 66 ;"], ["table_9", "( $ in millions ) the balance at december 31 2011 of employee compensation is $ 50 ; the balance at december 31 2011 of other accruals is $ 0 ; the balance at december 31 2011 of total is $ 50 ;"]]}, "answers": ["23"]}, "rejected_source": {"id": "HII/2011/page_90.pdf-2", "qa": {"question": "what is the net change in employee compensation during 2010?", "answer": "27", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "27", "arg2": "0", "res": "27"}], "program": "subtract(27, 0)", "gold_inds": {"table_1": "( $ in millions ) the balance at january 1 2010 of employee compensation is $ 0 ; the balance at january 1 2010 of other accruals is $ 0 ; the balance at january 1 2010 of total is $ 0 ;", "table_5": "( $ in millions ) the balance at december 31 2010 of employee compensation is $ 27 ; the balance at december 31 2010 of other accruals is $ 39 ; the balance at december 31 2010 of total is $ 66 ;"}, "exe_ans": 27.0, "tfidftopn": {"text_27": "( $ in millions ) employee compensation other accruals total ."}, "program_re": "subtract(27, 0)", "model_input": [["table_1", "( $ in millions ) the balance at january 1 2010 of employee compensation is $ 0 ; the balance at january 1 2010 of other accruals is $ 0 ; the balance at january 1 2010 of total is $ 0 ;"], ["table_5", "( $ in millions ) the balance at december 31 2010 of employee compensation is $ 27 ; the balance at december 31 2010 of other accruals is $ 39 ; the balance at december 31 2010 of total is $ 66 ;"], ["table_7", "( $ in millions ) the payments of employee compensation is -24 ( 24 ) ; the payments of other accruals is -36 ( 36 ) ; the payments of total is -60 ( 60 ) ;"]]}, "answers": ["27"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000696", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in employee compensation during 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "27.", "rejected": "23.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HII || what is the net change in employee compensation <TIME>?", "doc_prefix": "HII", "base_question": "what is the net change in employee compensation <TIME>?", "original_question": "what is the net change in employee compensation during 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"27": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "23": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "HII/2011/page_90.pdf-2", "qa": {"question": "what is the net change in employee compensation during 2010?", "answer": "27", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "27", "arg2": "0", "res": "27"}], "program": "subtract(27, 0)", "gold_inds": {"table_1": "( $ in millions ) the balance at january 1 2010 of employee compensation is $ 0 ; the balance at january 1 2010 of other accruals is $ 0 ; the balance at january 1 2010 of total is $ 0 ;", "table_5": "( $ in millions ) the balance at december 31 2010 of employee compensation is $ 27 ; the balance at december 31 2010 of other accruals is $ 39 ; the balance at december 31 2010 of total is $ 66 ;"}, "exe_ans": 27.0, "tfidftopn": {"text_27": "( $ in millions ) employee compensation other accruals total ."}, "program_re": "subtract(27, 0)", "model_input": [["table_1", "( $ in millions ) the balance at january 1 2010 of employee compensation is $ 0 ; the balance at january 1 2010 of other accruals is $ 0 ; the balance at january 1 2010 of total is $ 0 ;"], ["table_5", "( $ in millions ) the balance at december 31 2010 of employee compensation is $ 27 ; the balance at december 31 2010 of other accruals is $ 39 ; the balance at december 31 2010 of total is $ 66 ;"], ["table_7", "( $ in millions ) the payments of employee compensation is -24 ( 24 ) ; the payments of other accruals is -36 ( 36 ) ; the payments of total is -60 ( 60 ) ;"]]}, "answers": ["27"]}, "rejected_source": {"id": "HII/2011/page_90.pdf-1", "qa": {"question": "what is the net change in employee compensation during 2011?", "answer": "23", "explanation": "", "ann_table_rows": [5, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "50", "arg2": "27", "res": "23"}], "program": "subtract(50, 27)", "gold_inds": {"table_5": "( $ in millions ) the balance at december 31 2010 of employee compensation is $ 27 ; the balance at december 31 2010 of other accruals is $ 39 ; the balance at december 31 2010 of total is $ 66 ;", "table_9": "( $ in millions ) the balance at december 31 2011 of employee compensation is $ 50 ; the balance at december 31 2011 of other accruals is $ 0 ; the balance at december 31 2011 of total is $ 50 ;"}, "exe_ans": 23.0, "tfidftopn": {"text_27": "( $ in millions ) employee compensation other accruals total ."}, "program_re": "subtract(50, 27)", "model_input": [["table_1", "( $ in millions ) the balance at january 1 2010 of employee compensation is $ 0 ; the balance at january 1 2010 of other accruals is $ 0 ; the balance at january 1 2010 of total is $ 0 ;"], ["table_5", "( $ in millions ) the balance at december 31 2010 of employee compensation is $ 27 ; the balance at december 31 2010 of other accruals is $ 39 ; the balance at december 31 2010 of total is $ 66 ;"], ["table_9", "( $ in millions ) the balance at december 31 2011 of employee compensation is $ 50 ; the balance at december 31 2011 of other accruals is $ 0 ; the balance at december 31 2011 of total is $ 50 ;"]]}, "answers": ["23"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000697", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in share-based compensation expense between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-10%.", "rejected": "-14%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the percentage change in share-based compensation expense <TIME>?", "doc_prefix": "ZBH", "base_question": "what was the percentage change in share-based compensation expense <TIME>?", "original_question": "what was the percentage change in share-based compensation expense between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "-14%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}]}, "chosen_source": {"id": "ZBH/2013/page_49.pdf-1", "qa": {"question": "what was the percentage change in share-based compensation expense between 2011 and 2012?", "answer": "-10%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "38.4", "arg2": "42.7", "res": "-4.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "42.7", "res": "-10%"}], "program": "subtract(38.4, 42.7), divide(#0, 42.7)", "gold_inds": {"table_5": "for the years ended december 31 , the total expense net of tax of 2013 is $ 32.9 ; the total expense net of tax of 2012 is $ 38.4 ; the total expense net of tax of 2011 is $ 42.7 ;"}, "exe_ans": -0.1007, "tfidftopn": {"text_14": "share-based compensation expense is as follows ( in millions ) : .", "text_13": "share-based compensation our share-based payments primarily consist of stock options , restricted stock , restricted stock units ( rsus ) , and an employee stock purchase plan ."}, "program_re": "divide(subtract(38.4, 42.7), 42.7)", "model_input": [["table_3", "for the years ended december 31, the total expense pre-tax of 2013 is 48.5 ; the total expense pre-tax of 2012 is 55.0 ; the total expense pre-tax of 2011 is 60.5 ;"], ["table_5", "for the years ended december 31 , the total expense net of tax of 2013 is $ 32.9 ; the total expense net of tax of 2012 is $ 38.4 ; the total expense net of tax of 2011 is $ 42.7 ;"], ["text_15", "share-based compensation cost capitalized as part of inventory for the years ended december 31 , 2013 , 2012 and 2011 was $ 4.1 million , $ 6.1 million , and $ 8.8 million , respectively ."]]}, "answers": ["-10%"]}, "rejected_source": {"id": "ZBH/2013/page_49.pdf-2", "qa": {"question": "what was the percentage change in share-based compensation expense between 2012 and 2013?", "answer": "-14%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "32.9", "arg2": "38.4", "res": "-5.5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "38.4", "res": "-14%"}], "program": "subtract(32.9, 38.4), divide(#0, 38.4)", "gold_inds": {"table_5": "for the years ended december 31 , the total expense net of tax of 2013 is $ 32.9 ; the total expense net of tax of 2012 is $ 38.4 ; the total expense net of tax of 2011 is $ 42.7 ;"}, "exe_ans": -0.14323, "tfidftopn": {"text_14": "share-based compensation expense is as follows ( in millions ) : .", "text_13": "share-based compensation our share-based payments primarily consist of stock options , restricted stock , restricted stock units ( rsus ) , and an employee stock purchase plan ."}, "program_re": "divide(subtract(32.9, 38.4), 38.4)", "model_input": [["table_3", "for the years ended december 31, the total expense pre-tax of 2013 is 48.5 ; the total expense pre-tax of 2012 is 55.0 ; the total expense pre-tax of 2011 is 60.5 ;"], ["table_5", "for the years ended december 31 , the total expense net of tax of 2013 is $ 32.9 ; the total expense net of tax of 2012 is $ 38.4 ; the total expense net of tax of 2011 is $ 42.7 ;"], ["text_22", "we have registered 57.9 million shares of common stock under these plans ."]]}, "answers": ["-14%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000698", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in share-based compensation expense between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-14%.", "rejected": "-10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the percentage change in share-based compensation expense <TIME>?", "doc_prefix": "ZBH", "base_question": "what was the percentage change in share-based compensation expense <TIME>?", "original_question": "what was the percentage change in share-based compensation expense between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-10%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "-14%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}]}, "chosen_source": {"id": "ZBH/2013/page_49.pdf-2", "qa": {"question": "what was the percentage change in share-based compensation expense between 2012 and 2013?", "answer": "-14%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "32.9", "arg2": "38.4", "res": "-5.5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "38.4", "res": "-14%"}], "program": "subtract(32.9, 38.4), divide(#0, 38.4)", "gold_inds": {"table_5": "for the years ended december 31 , the total expense net of tax of 2013 is $ 32.9 ; the total expense net of tax of 2012 is $ 38.4 ; the total expense net of tax of 2011 is $ 42.7 ;"}, "exe_ans": -0.14323, "tfidftopn": {"text_14": "share-based compensation expense is as follows ( in millions ) : .", "text_13": "share-based compensation our share-based payments primarily consist of stock options , restricted stock , restricted stock units ( rsus ) , and an employee stock purchase plan ."}, "program_re": "divide(subtract(32.9, 38.4), 38.4)", "model_input": [["table_3", "for the years ended december 31, the total expense pre-tax of 2013 is 48.5 ; the total expense pre-tax of 2012 is 55.0 ; the total expense pre-tax of 2011 is 60.5 ;"], ["table_5", "for the years ended december 31 , the total expense net of tax of 2013 is $ 32.9 ; the total expense net of tax of 2012 is $ 38.4 ; the total expense net of tax of 2011 is $ 42.7 ;"], ["text_22", "we have registered 57.9 million shares of common stock under these plans ."]]}, "answers": ["-14%"]}, "rejected_source": {"id": "ZBH/2013/page_49.pdf-1", "qa": {"question": "what was the percentage change in share-based compensation expense between 2011 and 2012?", "answer": "-10%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "38.4", "arg2": "42.7", "res": "-4.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "42.7", "res": "-10%"}], "program": "subtract(38.4, 42.7), divide(#0, 42.7)", "gold_inds": {"table_5": "for the years ended december 31 , the total expense net of tax of 2013 is $ 32.9 ; the total expense net of tax of 2012 is $ 38.4 ; the total expense net of tax of 2011 is $ 42.7 ;"}, "exe_ans": -0.1007, "tfidftopn": {"text_14": "share-based compensation expense is as follows ( in millions ) : .", "text_13": "share-based compensation our share-based payments primarily consist of stock options , restricted stock , restricted stock units ( rsus ) , and an employee stock purchase plan ."}, "program_re": "divide(subtract(38.4, 42.7), 42.7)", "model_input": [["table_3", "for the years ended december 31, the total expense pre-tax of 2013 is 48.5 ; the total expense pre-tax of 2012 is 55.0 ; the total expense pre-tax of 2011 is 60.5 ;"], ["table_5", "for the years ended december 31 , the total expense net of tax of 2013 is $ 32.9 ; the total expense net of tax of 2012 is $ 38.4 ; the total expense net of tax of 2011 is $ 42.7 ;"], ["text_15", "share-based compensation cost capitalized as part of inventory for the years ended december 31 , 2013 , 2012 and 2011 was $ 4.1 million , $ 6.1 million , and $ 8.8 million , respectively ."]]}, "answers": ["-10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000699", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental expense for operating leases from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "17%.", "rejected": "84%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LKQ || what was the percentage change in rental expense for operating leases <TIME>?", "doc_prefix": "LKQ", "base_question": "what was the percentage change in rental expense for operating leases <TIME>?", "original_question": "what was the percentage change in rental expense for operating leases from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"84%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "17%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "LKQ/2009/page_77.pdf-2", "qa": {"question": "what was the percentage change in rental expense for operating leases from 2008 to 2009?", "answer": "17%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus2-1", "arg1": "57.2", "arg2": "49.0", "res": "8.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "49.0", "res": "17%"}], "program": "subtract(57.2, 49.0), divide(#0, 49.0)", "gold_inds": {"text_3": "rental expense for operating leases was approximately $ 57.2 million , $ 49.0 million and $ 26.6 million during the years ended december 31 , 2009 , 2008 and 2007 , respectively ."}, "exe_ans": 0.16735, "tfidftopn": {"text_1": "commitments and contingencies operating leases we are obligated under noncancelable operating leases for corporate office space , warehouse and distribution facilities , trucks and certain equipment .", "text_8": "had we terminated all of our operating leases subject to these guarantees at december 31 , 2009 , the guaranteed residual value would have totaled approximately $ 27.8 million ."}, "program_re": "divide(subtract(57.2, 49.0), 49.0)", "model_input": [["text_2", "the future minimum lease commitments under these leases at december 31 , 2009 are as follows ( in thousands ) : years ending december 31: ."], ["text_3", "rental expense for operating leases was approximately $ 57.2 million , $ 49.0 million and $ 26.6 million during the years ended december 31 , 2009 , 2008 and 2007 , respectively ."], ["text_8", "had we terminated all of our operating leases subject to these guarantees at december 31 , 2009 , the guaranteed residual value would have totaled approximately $ 27.8 million ."]]}, "answers": ["17%"]}, "rejected_source": {"id": "LKQ/2009/page_77.pdf-1", "qa": {"question": "what was the percentage change in rental expense for operating leases from 2007 to 2008?", "answer": "84%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus1-1", "arg1": "49.0", "arg2": "26.6", "res": "22.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "26.6", "res": "84%"}], "program": "subtract(49.0, 26.6), divide(#0, 26.6)", "gold_inds": {"text_3": "rental expense for operating leases was approximately $ 57.2 million , $ 49.0 million and $ 26.6 million during the years ended december 31 , 2009 , 2008 and 2007 , respectively ."}, "exe_ans": 0.84211, "tfidftopn": {"text_1": "commitments and contingencies operating leases we are obligated under noncancelable operating leases for corporate office space , warehouse and distribution facilities , trucks and certain equipment .", "text_4": "we guarantee the residual values of the majority of our truck and equipment operating leases ."}, "program_re": "divide(subtract(49.0, 26.6), 26.6)", "model_input": [["text_2", "the future minimum lease commitments under these leases at december 31 , 2009 are as follows ( in thousands ) : years ending december 31: ."], ["text_3", "rental expense for operating leases was approximately $ 57.2 million , $ 49.0 million and $ 26.6 million during the years ended december 31 , 2009 , 2008 and 2007 , respectively ."], ["text_8", "had we terminated all of our operating leases subject to these guarantees at december 31 , 2009 , the guaranteed residual value would have totaled approximately $ 27.8 million ."]]}, "answers": ["84%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000700", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental expense for operating leases from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "84%.", "rejected": "17%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LKQ || what was the percentage change in rental expense for operating leases <TIME>?", "doc_prefix": "LKQ", "base_question": "what was the percentage change in rental expense for operating leases <TIME>?", "original_question": "what was the percentage change in rental expense for operating leases from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"84%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "17%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "LKQ/2009/page_77.pdf-1", "qa": {"question": "what was the percentage change in rental expense for operating leases from 2007 to 2008?", "answer": "84%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus1-1", "arg1": "49.0", "arg2": "26.6", "res": "22.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "26.6", "res": "84%"}], "program": "subtract(49.0, 26.6), divide(#0, 26.6)", "gold_inds": {"text_3": "rental expense for operating leases was approximately $ 57.2 million , $ 49.0 million and $ 26.6 million during the years ended december 31 , 2009 , 2008 and 2007 , respectively ."}, "exe_ans": 0.84211, "tfidftopn": {"text_1": "commitments and contingencies operating leases we are obligated under noncancelable operating leases for corporate office space , warehouse and distribution facilities , trucks and certain equipment .", "text_4": "we guarantee the residual values of the majority of our truck and equipment operating leases ."}, "program_re": "divide(subtract(49.0, 26.6), 26.6)", "model_input": [["text_2", "the future minimum lease commitments under these leases at december 31 , 2009 are as follows ( in thousands ) : years ending december 31: ."], ["text_3", "rental expense for operating leases was approximately $ 57.2 million , $ 49.0 million and $ 26.6 million during the years ended december 31 , 2009 , 2008 and 2007 , respectively ."], ["text_8", "had we terminated all of our operating leases subject to these guarantees at december 31 , 2009 , the guaranteed residual value would have totaled approximately $ 27.8 million ."]]}, "answers": ["84%"]}, "rejected_source": {"id": "LKQ/2009/page_77.pdf-2", "qa": {"question": "what was the percentage change in rental expense for operating leases from 2008 to 2009?", "answer": "17%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus2-1", "arg1": "57.2", "arg2": "49.0", "res": "8.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "49.0", "res": "17%"}], "program": "subtract(57.2, 49.0), divide(#0, 49.0)", "gold_inds": {"text_3": "rental expense for operating leases was approximately $ 57.2 million , $ 49.0 million and $ 26.6 million during the years ended december 31 , 2009 , 2008 and 2007 , respectively ."}, "exe_ans": 0.16735, "tfidftopn": {"text_1": "commitments and contingencies operating leases we are obligated under noncancelable operating leases for corporate office space , warehouse and distribution facilities , trucks and certain equipment .", "text_8": "had we terminated all of our operating leases subject to these guarantees at december 31 , 2009 , the guaranteed residual value would have totaled approximately $ 27.8 million ."}, "program_re": "divide(subtract(57.2, 49.0), 49.0)", "model_input": [["text_2", "the future minimum lease commitments under these leases at december 31 , 2009 are as follows ( in thousands ) : years ending december 31: ."], ["text_3", "rental expense for operating leases was approximately $ 57.2 million , $ 49.0 million and $ 26.6 million during the years ended december 31 , 2009 , 2008 and 2007 , respectively ."], ["text_8", "had we terminated all of our operating leases subject to these guarantees at december 31 , 2009 , the guaranteed residual value would have totaled approximately $ 27.8 million ."]]}, "answers": ["17%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000701", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the r&d expenses from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-1.0%.", "rejected": "6.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ECL || what is the percentage change in the r&d expenses <TIME>?", "doc_prefix": "ECL", "base_question": "what is the percentage change in the r&d expenses <TIME>?", "original_question": "what is the percentage change in the r&d expenses from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1.0%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "6.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ECL/2017/page_96.pdf-3", "qa": {"question": "what is the percentage change in the r&d expenses from 2015 to 2016?", "answer": "-1.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [10], "steps": [{"op": "minus2-1", "arg1": "189", "arg2": "191", "res": "-2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "191", "res": "-1.0%"}], "program": "subtract(189, 191), divide(#0, 191)", "gold_inds": {"text_10": "such costs were $ 201 million in 2017 , $ 189 million in 2016 and $ 191 million in 2015 ."}, "exe_ans": -0.01047, "tfidftopn": {"text_11": "the company did not participate in any material customer sponsored research during 2017 , 2016 or 2015 .", "text_2": "total rental expense under the company 2019s operating leases was $ 239 million in 2017 and $ 221 million in both 2016 and 2015 ."}, "program_re": "divide(subtract(189, 191), 191)", "model_input": [["table_5", "2018 the thereafter of $ 131 is 115 ;"], ["table_6", "2018 the total of $ 131 is $ 617 ;"], ["text_10", "such costs were $ 201 million in 2017 , $ 189 million in 2016 and $ 191 million in 2015 ."]]}, "answers": ["-1.0%"]}, "rejected_source": {"id": "ECL/2017/page_96.pdf-1", "qa": {"question": "what is the percentage change in the r&d expenses from 2016 to 2017?", "answer": "6.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [10], "steps": [{"op": "minus1-1", "arg1": "201", "arg2": "189", "res": "12"}, {"op": "divide1-2", "arg1": "#0", "arg2": "189", "res": "6.3%"}], "program": "subtract(201, 189), divide(#0, 189)", "gold_inds": {"text_10": "such costs were $ 201 million in 2017 , $ 189 million in 2016 and $ 191 million in 2015 ."}, "exe_ans": 0.06349, "tfidftopn": {"text_11": "the company did not participate in any material customer sponsored research during 2017 , 2016 or 2015 .", "text_2": "total rental expense under the company 2019s operating leases was $ 239 million in 2017 and $ 221 million in both 2016 and 2015 ."}, "program_re": "divide(subtract(201, 189), 189)", "model_input": [["table_5", "2018 the thereafter of $ 131 is 115 ;"], ["table_6", "2018 the total of $ 131 is $ 617 ;"], ["text_10", "such costs were $ 201 million in 2017 , $ 189 million in 2016 and $ 191 million in 2015 ."]]}, "answers": ["6.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000702", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the r&d expenses from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "6.3%.", "rejected": "-1.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ECL || what is the percentage change in the r&d expenses <TIME>?", "doc_prefix": "ECL", "base_question": "what is the percentage change in the r&d expenses <TIME>?", "original_question": "what is the percentage change in the r&d expenses from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1.0%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "6.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ECL/2017/page_96.pdf-1", "qa": {"question": "what is the percentage change in the r&d expenses from 2016 to 2017?", "answer": "6.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [10], "steps": [{"op": "minus1-1", "arg1": "201", "arg2": "189", "res": "12"}, {"op": "divide1-2", "arg1": "#0", "arg2": "189", "res": "6.3%"}], "program": "subtract(201, 189), divide(#0, 189)", "gold_inds": {"text_10": "such costs were $ 201 million in 2017 , $ 189 million in 2016 and $ 191 million in 2015 ."}, "exe_ans": 0.06349, "tfidftopn": {"text_11": "the company did not participate in any material customer sponsored research during 2017 , 2016 or 2015 .", "text_2": "total rental expense under the company 2019s operating leases was $ 239 million in 2017 and $ 221 million in both 2016 and 2015 ."}, "program_re": "divide(subtract(201, 189), 189)", "model_input": [["table_5", "2018 the thereafter of $ 131 is 115 ;"], ["table_6", "2018 the total of $ 131 is $ 617 ;"], ["text_10", "such costs were $ 201 million in 2017 , $ 189 million in 2016 and $ 191 million in 2015 ."]]}, "answers": ["6.3%"]}, "rejected_source": {"id": "ECL/2017/page_96.pdf-3", "qa": {"question": "what is the percentage change in the r&d expenses from 2015 to 2016?", "answer": "-1.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [10], "steps": [{"op": "minus2-1", "arg1": "189", "arg2": "191", "res": "-2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "191", "res": "-1.0%"}], "program": "subtract(189, 191), divide(#0, 191)", "gold_inds": {"text_10": "such costs were $ 201 million in 2017 , $ 189 million in 2016 and $ 191 million in 2015 ."}, "exe_ans": -0.01047, "tfidftopn": {"text_11": "the company did not participate in any material customer sponsored research during 2017 , 2016 or 2015 .", "text_2": "total rental expense under the company 2019s operating leases was $ 239 million in 2017 and $ 221 million in both 2016 and 2015 ."}, "program_re": "divide(subtract(189, 191), 191)", "model_input": [["table_5", "2018 the thereafter of $ 131 is 115 ;"], ["table_6", "2018 the total of $ 131 is $ 617 ;"], ["text_10", "such costs were $ 201 million in 2017 , $ 189 million in 2016 and $ 191 million in 2015 ."]]}, "answers": ["-1.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000703", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash from operating activities from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "1%.", "rejected": "2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the percentage change in net cash from operating activities <TIME>?", "doc_prefix": "UPS", "base_question": "what was the percentage change in net cash from operating activities <TIME>?", "original_question": "what was the percentage change in net cash from operating activities from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"84%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "1%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UPS/2013/page_56.pdf-4", "qa": {"question": "what was the percentage change in net cash from operating activities from 2012 to 2013?", "answer": "1%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "7304", "arg2": "7216", "res": "88"}, {"op": "divide2-2", "arg1": "#0", "arg2": "7216", "res": "1%"}], "program": "subtract(7304, 7216), divide(#0, 7216)", "gold_inds": {"table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 0.0122, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2013 is 3318 ; The non-cash operating activities ( a ) of 2012 is 7313 ; The non-cash operating activities ( a ) of 2011 is 4578 ;", "table_1": "The net income of 2013 is $ 4372 ; The net income of 2012 is $ 807 ; The net income of 2011 is $ 3804 ;"}, "program_re": "divide(subtract(7304, 7216), 7216)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["1%"]}, "rejected_source": {"id": "UPS/2013/page_56.pdf-1", "qa": {"question": "what was the percentage change in net cash from operating activities from 2011 to 2012?", "answer": "2%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7216", "arg2": "7073", "res": "143"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7073", "res": "2%"}], "program": "subtract(7216, 7073), divide(#0, 7073)", "gold_inds": {"table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 0.02022, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2013 is 3318 ; The non-cash operating activities ( a ) of 2012 is 7313 ; The non-cash operating activities ( a ) of 2011 is 4578 ;", "table_1": "The net income of 2013 is $ 4372 ; The net income of 2012 is $ 807 ; The net income of 2011 is $ 3804 ;"}, "program_re": "divide(subtract(7216, 7073), 7073)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000704", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash from operating activities from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "1%.", "rejected": "84%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the percentage change in net cash from operating activities <TIME>?", "doc_prefix": "UPS", "base_question": "what was the percentage change in net cash from operating activities <TIME>?", "original_question": "what was the percentage change in net cash from operating activities from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"84%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "1%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UPS/2013/page_56.pdf-4", "qa": {"question": "what was the percentage change in net cash from operating activities from 2012 to 2013?", "answer": "1%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "7304", "arg2": "7216", "res": "88"}, {"op": "divide2-2", "arg1": "#0", "arg2": "7216", "res": "1%"}], "program": "subtract(7304, 7216), divide(#0, 7216)", "gold_inds": {"table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 0.0122, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2013 is 3318 ; The non-cash operating activities ( a ) of 2012 is 7313 ; The non-cash operating activities ( a ) of 2011 is 4578 ;", "table_1": "The net income of 2013 is $ 4372 ; The net income of 2012 is $ 807 ; The net income of 2011 is $ 3804 ;"}, "program_re": "divide(subtract(7304, 7216), 7216)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["1%"]}, "rejected_source": {"id": "UPS/2012/page_51.pdf-4", "qa": {"question": "what was the percentage change in net cash from operating activities from 2010 to 2011?", "answer": "84%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7073", "arg2": "3835", "res": "3238"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3835", "res": "84%"}], "program": "subtract(7073, 3835), divide(#0, 3835)", "gold_inds": {"table_7": "the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ; the net cash from operating activities of 2010 is $ 3835 ;"}, "exe_ans": 0.84433, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2012 is 7301 ; The non-cash operating activities ( a ) of 2011 is 4505 ; The non-cash operating activities ( a ) of 2010 is 4398 ;", "table_6": "The other operating activities of 2012 is -107 ( 107 ) ; The other operating activities of 2011 is -24 ( 24 ) ; The other operating activities of 2010 is -2 ( 2 ) ;"}, "program_re": "divide(subtract(7073, 3835), 3835)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2012 is 7301 ; the non-cash operating activities ( a ) of 2011 is 4505 ; the non-cash operating activities ( a ) of 2010 is 4398 ;"], ["table_7", "the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ; the net cash from operating activities of 2010 is $ 3835 ;"]]}, "answers": ["84%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000705", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash from operating activities from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "2%.", "rejected": "1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the percentage change in net cash from operating activities <TIME>?", "doc_prefix": "UPS", "base_question": "what was the percentage change in net cash from operating activities <TIME>?", "original_question": "what was the percentage change in net cash from operating activities from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"84%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "1%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UPS/2013/page_56.pdf-1", "qa": {"question": "what was the percentage change in net cash from operating activities from 2011 to 2012?", "answer": "2%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7216", "arg2": "7073", "res": "143"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7073", "res": "2%"}], "program": "subtract(7216, 7073), divide(#0, 7073)", "gold_inds": {"table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 0.02022, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2013 is 3318 ; The non-cash operating activities ( a ) of 2012 is 7313 ; The non-cash operating activities ( a ) of 2011 is 4578 ;", "table_1": "The net income of 2013 is $ 4372 ; The net income of 2012 is $ 807 ; The net income of 2011 is $ 3804 ;"}, "program_re": "divide(subtract(7216, 7073), 7073)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["2%"]}, "rejected_source": {"id": "UPS/2013/page_56.pdf-4", "qa": {"question": "what was the percentage change in net cash from operating activities from 2012 to 2013?", "answer": "1%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "7304", "arg2": "7216", "res": "88"}, {"op": "divide2-2", "arg1": "#0", "arg2": "7216", "res": "1%"}], "program": "subtract(7304, 7216), divide(#0, 7216)", "gold_inds": {"table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 0.0122, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2013 is 3318 ; The non-cash operating activities ( a ) of 2012 is 7313 ; The non-cash operating activities ( a ) of 2011 is 4578 ;", "table_1": "The net income of 2013 is $ 4372 ; The net income of 2012 is $ 807 ; The net income of 2011 is $ 3804 ;"}, "program_re": "divide(subtract(7304, 7216), 7216)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000706", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash from operating activities from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "2%.", "rejected": "84%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the percentage change in net cash from operating activities <TIME>?", "doc_prefix": "UPS", "base_question": "what was the percentage change in net cash from operating activities <TIME>?", "original_question": "what was the percentage change in net cash from operating activities from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"84%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "1%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UPS/2013/page_56.pdf-1", "qa": {"question": "what was the percentage change in net cash from operating activities from 2011 to 2012?", "answer": "2%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7216", "arg2": "7073", "res": "143"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7073", "res": "2%"}], "program": "subtract(7216, 7073), divide(#0, 7073)", "gold_inds": {"table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 0.02022, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2013 is 3318 ; The non-cash operating activities ( a ) of 2012 is 7313 ; The non-cash operating activities ( a ) of 2011 is 4578 ;", "table_1": "The net income of 2013 is $ 4372 ; The net income of 2012 is $ 807 ; The net income of 2011 is $ 3804 ;"}, "program_re": "divide(subtract(7216, 7073), 7073)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["2%"]}, "rejected_source": {"id": "UPS/2012/page_51.pdf-4", "qa": {"question": "what was the percentage change in net cash from operating activities from 2010 to 2011?", "answer": "84%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7073", "arg2": "3835", "res": "3238"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3835", "res": "84%"}], "program": "subtract(7073, 3835), divide(#0, 3835)", "gold_inds": {"table_7": "the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ; the net cash from operating activities of 2010 is $ 3835 ;"}, "exe_ans": 0.84433, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2012 is 7301 ; The non-cash operating activities ( a ) of 2011 is 4505 ; The non-cash operating activities ( a ) of 2010 is 4398 ;", "table_6": "The other operating activities of 2012 is -107 ( 107 ) ; The other operating activities of 2011 is -24 ( 24 ) ; The other operating activities of 2010 is -2 ( 2 ) ;"}, "program_re": "divide(subtract(7073, 3835), 3835)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2012 is 7301 ; the non-cash operating activities ( a ) of 2011 is 4505 ; the non-cash operating activities ( a ) of 2010 is 4398 ;"], ["table_7", "the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ; the net cash from operating activities of 2010 is $ 3835 ;"]]}, "answers": ["84%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000707", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash from operating activities from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "84%.", "rejected": "1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the percentage change in net cash from operating activities <TIME>?", "doc_prefix": "UPS", "base_question": "what was the percentage change in net cash from operating activities <TIME>?", "original_question": "what was the percentage change in net cash from operating activities from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"84%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "1%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UPS/2012/page_51.pdf-4", "qa": {"question": "what was the percentage change in net cash from operating activities from 2010 to 2011?", "answer": "84%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7073", "arg2": "3835", "res": "3238"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3835", "res": "84%"}], "program": "subtract(7073, 3835), divide(#0, 3835)", "gold_inds": {"table_7": "the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ; the net cash from operating activities of 2010 is $ 3835 ;"}, "exe_ans": 0.84433, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2012 is 7301 ; The non-cash operating activities ( a ) of 2011 is 4505 ; The non-cash operating activities ( a ) of 2010 is 4398 ;", "table_6": "The other operating activities of 2012 is -107 ( 107 ) ; The other operating activities of 2011 is -24 ( 24 ) ; The other operating activities of 2010 is -2 ( 2 ) ;"}, "program_re": "divide(subtract(7073, 3835), 3835)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2012 is 7301 ; the non-cash operating activities ( a ) of 2011 is 4505 ; the non-cash operating activities ( a ) of 2010 is 4398 ;"], ["table_7", "the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ; the net cash from operating activities of 2010 is $ 3835 ;"]]}, "answers": ["84%"]}, "rejected_source": {"id": "UPS/2013/page_56.pdf-4", "qa": {"question": "what was the percentage change in net cash from operating activities from 2012 to 2013?", "answer": "1%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "7304", "arg2": "7216", "res": "88"}, {"op": "divide2-2", "arg1": "#0", "arg2": "7216", "res": "1%"}], "program": "subtract(7304, 7216), divide(#0, 7216)", "gold_inds": {"table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 0.0122, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2013 is 3318 ; The non-cash operating activities ( a ) of 2012 is 7313 ; The non-cash operating activities ( a ) of 2011 is 4578 ;", "table_1": "The net income of 2013 is $ 4372 ; The net income of 2012 is $ 807 ; The net income of 2011 is $ 3804 ;"}, "program_re": "divide(subtract(7304, 7216), 7216)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000708", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net cash from operating activities from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "84%.", "rejected": "2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the percentage change in net cash from operating activities <TIME>?", "doc_prefix": "UPS", "base_question": "what was the percentage change in net cash from operating activities <TIME>?", "original_question": "what was the percentage change in net cash from operating activities from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"84%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "2%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "1%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UPS/2012/page_51.pdf-4", "qa": {"question": "what was the percentage change in net cash from operating activities from 2010 to 2011?", "answer": "84%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7073", "arg2": "3835", "res": "3238"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3835", "res": "84%"}], "program": "subtract(7073, 3835), divide(#0, 3835)", "gold_inds": {"table_7": "the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ; the net cash from operating activities of 2010 is $ 3835 ;"}, "exe_ans": 0.84433, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2012 is 7301 ; The non-cash operating activities ( a ) of 2011 is 4505 ; The non-cash operating activities ( a ) of 2010 is 4398 ;", "table_6": "The other operating activities of 2012 is -107 ( 107 ) ; The other operating activities of 2011 is -24 ( 24 ) ; The other operating activities of 2010 is -2 ( 2 ) ;"}, "program_re": "divide(subtract(7073, 3835), 3835)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2012 is 7301 ; the non-cash operating activities ( a ) of 2011 is 4505 ; the non-cash operating activities ( a ) of 2010 is 4398 ;"], ["table_7", "the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ; the net cash from operating activities of 2010 is $ 3835 ;"]]}, "answers": ["84%"]}, "rejected_source": {"id": "UPS/2013/page_56.pdf-1", "qa": {"question": "what was the percentage change in net cash from operating activities from 2011 to 2012?", "answer": "2%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7216", "arg2": "7073", "res": "143"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7073", "res": "2%"}], "program": "subtract(7216, 7073), divide(#0, 7073)", "gold_inds": {"table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 0.02022, "tfidftopn": {"table_2": "The non-cash operating activities ( a ) of 2013 is 3318 ; The non-cash operating activities ( a ) of 2012 is 7313 ; The non-cash operating activities ( a ) of 2011 is 4578 ;", "table_1": "The net income of 2013 is $ 4372 ; The net income of 2012 is $ 807 ; The net income of 2011 is $ 3804 ;"}, "program_re": "divide(subtract(7216, 7073), 7073)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000709", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in per diluted share earnings as adjusted from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "13%.", "rejected": "20%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in per diluted share earnings as adjusted <TIME>?", "doc_prefix": "BLL", "base_question": "what was the percentage change in per diluted share earnings as adjusted <TIME>?", "original_question": "what was the percentage change in per diluted share earnings as adjusted from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "20%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "BLL/2010/page_39.pdf-1", "qa": {"question": "what was the percentage change in per diluted share earnings as adjusted from 2008 to 2009?", "answer": "13%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1.96", "arg2": "1.74", "res": ".22"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1.74", "res": "13%"}], "program": "subtract(1.96, 1.74), divide(#0, 1.74)", "gold_inds": {"table_9": "( $ in millions except per share amounts ) the per diluted share as adjusted of 2010 is 2.36 ; the per diluted share as adjusted of 2009 is 1.96 ; the per diluted share as adjusted of 2008 is 1.74 ;"}, "exe_ans": 0.12644, "tfidftopn": {"table_7": "( $ in millions except per share amounts ) The adjusted net earnings of 2010 is $ 433.0 ; The adjusted net earnings of 2009 is $ 372.4 ; The adjusted net earnings of 2008 is $ 337.6 ;", "table_8": "( $ in millions except per share amounts ) The per diluted share from continuing operations as reported of 2010 is $ 2.96 ; The per diluted share from continuing operations as reported of 2009 is $ 2.05 ; The per diluted share from continuing operations as reported of 2008 is $ 1.62 ;"}, "program_re": "divide(subtract(1.96, 1.74), 1.74)", "model_input": [["table_7", "( $ in millions except per share amounts ) the adjusted net earnings of 2010 is $ 433.0 ; the adjusted net earnings of 2009 is $ 372.4 ; the adjusted net earnings of 2008 is $ 337.6 ;"], ["table_8", "( $ in millions except per share amounts ) the per diluted share from continuing operations as reported of 2010 is $ 2.96 ; the per diluted share from continuing operations as reported of 2009 is $ 2.05 ; the per diluted share from continuing operations as reported of 2008 is $ 1.62 ;"], ["table_9", "( $ in millions except per share amounts ) the per diluted share as adjusted of 2010 is 2.36 ; the per diluted share as adjusted of 2009 is 1.96 ; the per diluted share as adjusted of 2008 is 1.74 ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "BLL/2010/page_39.pdf-3", "qa": {"question": "what was the percentage change in per diluted share earnings as adjusted from 2009 to 2010?", "answer": "20%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2.36", "arg2": "1.96", "res": ".4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1.96", "res": "20%"}], "program": "subtract(2.36, 1.96), divide(#0, 1.96)", "gold_inds": {"table_9": "( $ in millions except per share amounts ) the per diluted share as adjusted of 2010 is 2.36 ; the per diluted share as adjusted of 2009 is 1.96 ; the per diluted share as adjusted of 2008 is 1.74 ;"}, "exe_ans": 0.20408, "tfidftopn": {"table_7": "( $ in millions except per share amounts ) The adjusted net earnings of 2010 is $ 433.0 ; The adjusted net earnings of 2009 is $ 372.4 ; The adjusted net earnings of 2008 is $ 337.6 ;", "table_8": "( $ in millions except per share amounts ) The per diluted share from continuing operations as reported of 2010 is $ 2.96 ; The per diluted share from continuing operations as reported of 2009 is $ 2.05 ; The per diluted share from continuing operations as reported of 2008 is $ 1.62 ;"}, "program_re": "divide(subtract(2.36, 1.96), 1.96)", "model_input": [["table_7", "( $ in millions except per share amounts ) the adjusted net earnings of 2010 is $ 433.0 ; the adjusted net earnings of 2009 is $ 372.4 ; the adjusted net earnings of 2008 is $ 337.6 ;"], ["table_8", "( $ in millions except per share amounts ) the per diluted share from continuing operations as reported of 2010 is $ 2.96 ; the per diluted share from continuing operations as reported of 2009 is $ 2.05 ; the per diluted share from continuing operations as reported of 2008 is $ 1.62 ;"], ["table_9", "( $ in millions except per share amounts ) the per diluted share as adjusted of 2010 is 2.36 ; the per diluted share as adjusted of 2009 is 1.96 ; the per diluted share as adjusted of 2008 is 1.74 ;"]]}, "answers": ["20%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000710", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in per diluted share earnings as adjusted from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "20%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in per diluted share earnings as adjusted <TIME>?", "doc_prefix": "BLL", "base_question": "what was the percentage change in per diluted share earnings as adjusted <TIME>?", "original_question": "what was the percentage change in per diluted share earnings as adjusted from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "20%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "BLL/2010/page_39.pdf-3", "qa": {"question": "what was the percentage change in per diluted share earnings as adjusted from 2009 to 2010?", "answer": "20%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2.36", "arg2": "1.96", "res": ".4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1.96", "res": "20%"}], "program": "subtract(2.36, 1.96), divide(#0, 1.96)", "gold_inds": {"table_9": "( $ in millions except per share amounts ) the per diluted share as adjusted of 2010 is 2.36 ; the per diluted share as adjusted of 2009 is 1.96 ; the per diluted share as adjusted of 2008 is 1.74 ;"}, "exe_ans": 0.20408, "tfidftopn": {"table_7": "( $ in millions except per share amounts ) The adjusted net earnings of 2010 is $ 433.0 ; The adjusted net earnings of 2009 is $ 372.4 ; The adjusted net earnings of 2008 is $ 337.6 ;", "table_8": "( $ in millions except per share amounts ) The per diluted share from continuing operations as reported of 2010 is $ 2.96 ; The per diluted share from continuing operations as reported of 2009 is $ 2.05 ; The per diluted share from continuing operations as reported of 2008 is $ 1.62 ;"}, "program_re": "divide(subtract(2.36, 1.96), 1.96)", "model_input": [["table_7", "( $ in millions except per share amounts ) the adjusted net earnings of 2010 is $ 433.0 ; the adjusted net earnings of 2009 is $ 372.4 ; the adjusted net earnings of 2008 is $ 337.6 ;"], ["table_8", "( $ in millions except per share amounts ) the per diluted share from continuing operations as reported of 2010 is $ 2.96 ; the per diluted share from continuing operations as reported of 2009 is $ 2.05 ; the per diluted share from continuing operations as reported of 2008 is $ 1.62 ;"], ["table_9", "( $ in millions except per share amounts ) the per diluted share as adjusted of 2010 is 2.36 ; the per diluted share as adjusted of 2009 is 1.96 ; the per diluted share as adjusted of 2008 is 1.74 ;"]]}, "answers": ["20%"]}, "rejected_source": {"id": "BLL/2010/page_39.pdf-1", "qa": {"question": "what was the percentage change in per diluted share earnings as adjusted from 2008 to 2009?", "answer": "13%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1.96", "arg2": "1.74", "res": ".22"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1.74", "res": "13%"}], "program": "subtract(1.96, 1.74), divide(#0, 1.74)", "gold_inds": {"table_9": "( $ in millions except per share amounts ) the per diluted share as adjusted of 2010 is 2.36 ; the per diluted share as adjusted of 2009 is 1.96 ; the per diluted share as adjusted of 2008 is 1.74 ;"}, "exe_ans": 0.12644, "tfidftopn": {"table_7": "( $ in millions except per share amounts ) The adjusted net earnings of 2010 is $ 433.0 ; The adjusted net earnings of 2009 is $ 372.4 ; The adjusted net earnings of 2008 is $ 337.6 ;", "table_8": "( $ in millions except per share amounts ) The per diluted share from continuing operations as reported of 2010 is $ 2.96 ; The per diluted share from continuing operations as reported of 2009 is $ 2.05 ; The per diluted share from continuing operations as reported of 2008 is $ 1.62 ;"}, "program_re": "divide(subtract(1.96, 1.74), 1.74)", "model_input": [["table_7", "( $ in millions except per share amounts ) the adjusted net earnings of 2010 is $ 433.0 ; the adjusted net earnings of 2009 is $ 372.4 ; the adjusted net earnings of 2008 is $ 337.6 ;"], ["table_8", "( $ in millions except per share amounts ) the per diluted share from continuing operations as reported of 2010 is $ 2.96 ; the per diluted share from continuing operations as reported of 2009 is $ 2.05 ; the per diluted share from continuing operations as reported of 2008 is $ 1.62 ;"], ["table_9", "( $ in millions except per share amounts ) the per diluted share as adjusted of 2010 is 2.36 ; the per diluted share as adjusted of 2009 is 1.96 ; the per diluted share as adjusted of 2008 is 1.74 ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000711", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage increase in the balance of goodwill from 2017 to 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-0.6%.", "rejected": "16.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CDNS || what is the percentage increase in the balance of goodwill <TIME>?", "doc_prefix": "CDNS", "base_question": "what is the percentage increase in the balance of goodwill <TIME>?", "original_question": "what is the percentage increase in the balance of goodwill from 2017 to 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"16.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-0.6%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "CDNS/2018/page_82.pdf-3", "qa": {"question": "what is the percentage increase in the balance of goodwill from 2017 to 2018?", "answer": "-0.6%", "explanation": "", "ann_table_rows": [4, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "662272", "arg2": "666009", "res": "-3737"}, {"op": "divide2-2", "arg1": "#0", "arg2": "666009", "res": "-0.6%"}], "program": "subtract(662272, 666009), divide(#0, 666009)", "gold_inds": {"table_4": "the balance as of december 30 2017 of gross carryingamount ( in thousands ) is 666009 ;", "table_6": "the balance as of december 29 2018 of gross carryingamount ( in thousands ) is $ 662272 ;"}, "exe_ans": -0.00561, "tfidftopn": {"text_19": "goodwill and acquired intangibles goodwill the changes in the carrying amount of goodwill during fiscal 2018 and 2017 were as follows : gross carrying amount ( in thousands ) ."}, "program_re": "divide(subtract(662272, 666009), 666009)", "model_input": [["table_1", "the balance as of december 31 2016 of gross carryingamount ( in thousands ) is $ 572764 ;"], ["table_4", "the balance as of december 30 2017 of gross carryingamount ( in thousands ) is 666009 ;"], ["table_6", "the balance as of december 29 2018 of gross carryingamount ( in thousands ) is $ 662272 ;"]]}, "answers": ["-0.6%"]}, "rejected_source": {"id": "CDNS/2018/page_82.pdf-4", "qa": {"question": "what is the percentage increase in the balance of goodwill from 2016 to 2017?", "answer": "16.3%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "666009", "arg2": "572764", "res": "93245"}, {"op": "divide1-2", "arg1": "#0", "arg2": "572764", "res": "16.3%"}], "program": "subtract(666009, 572764), divide(#0, 572764)", "gold_inds": {"table_1": "the balance as of december 31 2016 of gross carryingamount ( in thousands ) is $ 572764 ;", "table_3": "the effect of foreign currency translation of gross carryingamount ( in thousands ) is 3027 ;", "table_4": "the balance as of december 30 2017 of gross carryingamount ( in thousands ) is 666009 ;"}, "exe_ans": 0.1628, "tfidftopn": {}, "program_re": "divide(subtract(666009, 572764), 572764)", "model_input": [["table_1", "the balance as of december 31 2016 of gross carryingamount ( in thousands ) is $ 572764 ;"], ["table_3", "the effect of foreign currency translation of gross carryingamount ( in thousands ) is 3027 ;"], ["table_4", "the balance as of december 30 2017 of gross carryingamount ( in thousands ) is 666009 ;"]]}, "answers": ["16.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000712", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage increase in the balance of goodwill from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "16.3%.", "rejected": "-0.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CDNS || what is the percentage increase in the balance of goodwill <TIME>?", "doc_prefix": "CDNS", "base_question": "what is the percentage increase in the balance of goodwill <TIME>?", "original_question": "what is the percentage increase in the balance of goodwill from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"16.3%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-0.6%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "CDNS/2018/page_82.pdf-4", "qa": {"question": "what is the percentage increase in the balance of goodwill from 2016 to 2017?", "answer": "16.3%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "666009", "arg2": "572764", "res": "93245"}, {"op": "divide1-2", "arg1": "#0", "arg2": "572764", "res": "16.3%"}], "program": "subtract(666009, 572764), divide(#0, 572764)", "gold_inds": {"table_1": "the balance as of december 31 2016 of gross carryingamount ( in thousands ) is $ 572764 ;", "table_3": "the effect of foreign currency translation of gross carryingamount ( in thousands ) is 3027 ;", "table_4": "the balance as of december 30 2017 of gross carryingamount ( in thousands ) is 666009 ;"}, "exe_ans": 0.1628, "tfidftopn": {}, "program_re": "divide(subtract(666009, 572764), 572764)", "model_input": [["table_1", "the balance as of december 31 2016 of gross carryingamount ( in thousands ) is $ 572764 ;"], ["table_3", "the effect of foreign currency translation of gross carryingamount ( in thousands ) is 3027 ;"], ["table_4", "the balance as of december 30 2017 of gross carryingamount ( in thousands ) is 666009 ;"]]}, "answers": ["16.3%"]}, "rejected_source": {"id": "CDNS/2018/page_82.pdf-3", "qa": {"question": "what is the percentage increase in the balance of goodwill from 2017 to 2018?", "answer": "-0.6%", "explanation": "", "ann_table_rows": [4, 6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "662272", "arg2": "666009", "res": "-3737"}, {"op": "divide2-2", "arg1": "#0", "arg2": "666009", "res": "-0.6%"}], "program": "subtract(662272, 666009), divide(#0, 666009)", "gold_inds": {"table_4": "the balance as of december 30 2017 of gross carryingamount ( in thousands ) is 666009 ;", "table_6": "the balance as of december 29 2018 of gross carryingamount ( in thousands ) is $ 662272 ;"}, "exe_ans": -0.00561, "tfidftopn": {"text_19": "goodwill and acquired intangibles goodwill the changes in the carrying amount of goodwill during fiscal 2018 and 2017 were as follows : gross carrying amount ( in thousands ) ."}, "program_re": "divide(subtract(662272, 666009), 666009)", "model_input": [["table_1", "the balance as of december 31 2016 of gross carryingamount ( in thousands ) is $ 572764 ;"], ["table_4", "the balance as of december 30 2017 of gross carryingamount ( in thousands ) is 666009 ;"], ["table_6", "the balance as of december 29 2018 of gross carryingamount ( in thousands ) is $ 662272 ;"]]}, "answers": ["-0.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000713", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-21.99%.", "rejected": "-30.99%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-21.99%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-30.99%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "DISCA/2017/page_41.pdf-4", "qa": {"question": "what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , 2017?", "answer": "-21.99%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "78.01", "arg2": "const_100", "res": "-21.99"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "-21.99%"}], "program": "subtract(78.01, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of december 312012 is $ 100.00 ; the discb of december 312013 is $ 144.61 ; the discb of december 312014 is $ 116.45 ; the discb of december 312015 is $ 85.03 ; the discb of december 312016 is $ 91.70 ; the discb of december 312017 is $ 78.01 ;"}, "exe_ans": -0.2199, "tfidftopn": {"text_19": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , scripps network interactive , inc. , time warner , inc. , twenty-first century fox , inc .", "table_1": "The disca of december 312012 is $ 100.00 ; The disca of december 312013 is $ 139.42 ; The disca of december 312014 is $ 106.23 ; The disca of december 312015 is $ 82.27 ; The disca of december 312016 is $ 84.53 ; The disca of december 312017 is $ 69.01 ;"}, "program_re": "divide(subtract(78.01, const_100), const_100)", "model_input": [["text_22", "the graph assumes $ 100 originally invested on december 31 , 2012 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2013 , 2014 , 2015 , 2016 and 2017 ."], ["table_1", "the disca of december 312012 is $ 100.00 ; the disca of december 312013 is $ 139.42 ; the disca of december 312014 is $ 106.23 ; the disca of december 312015 is $ 82.27 ; the disca of december 312016 is $ 84.53 ; the disca of december 312017 is $ 69.01 ;"], ["table_2", "the discb of december 312012 is $ 100.00 ; the discb of december 312013 is $ 144.61 ; the discb of december 312014 is $ 116.45 ; the discb of december 312015 is $ 85.03 ; the discb of december 312016 is $ 91.70 ; the discb of december 312017 is $ 78.01 ;"]]}, "answers": ["-21.99%"]}, "rejected_source": {"id": "DISCA/2017/page_41.pdf-3", "qa": {"question": "what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , 2017?", "answer": "-30.99%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "69.01", "arg2": "const_100", "res": "-30.99"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "-30.99%"}], "program": "subtract(69.01, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of december 312012 is $ 100.00 ; the disca of december 312013 is $ 139.42 ; the disca of december 312014 is $ 106.23 ; the disca of december 312015 is $ 82.27 ; the disca of december 312016 is $ 84.53 ; the disca of december 312017 is $ 69.01 ;"}, "exe_ans": -0.3099, "tfidftopn": {"text_19": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , scripps network interactive , inc. , time warner , inc. , twenty-first century fox , inc .", "text_14": "there were no repurchases of our series a and b common stock during 2017 and no repurchases of series c common stock during the three months ended december 31 , 2017 ."}, "program_re": "divide(subtract(69.01, const_100), const_100)", "model_input": [["text_22", "the graph assumes $ 100 originally invested on december 31 , 2012 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2013 , 2014 , 2015 , 2016 and 2017 ."], ["table_1", "the disca of december 312012 is $ 100.00 ; the disca of december 312013 is $ 139.42 ; the disca of december 312014 is $ 106.23 ; the disca of december 312015 is $ 82.27 ; the disca of december 312016 is $ 84.53 ; the disca of december 312017 is $ 69.01 ;"], ["table_2", "the discb of december 312012 is $ 100.00 ; the discb of december 312013 is $ 144.61 ; the discb of december 312014 is $ 116.45 ; the discb of december 312015 is $ 85.03 ; the discb of december 312016 is $ 91.70 ; the discb of december 312017 is $ 78.01 ;"]]}, "answers": ["-30.99%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000714", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-30.99%.", "rejected": "-21.99%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-21.99%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-30.99%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "DISCA/2017/page_41.pdf-3", "qa": {"question": "what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , 2017?", "answer": "-30.99%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "69.01", "arg2": "const_100", "res": "-30.99"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "-30.99%"}], "program": "subtract(69.01, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of december 312012 is $ 100.00 ; the disca of december 312013 is $ 139.42 ; the disca of december 312014 is $ 106.23 ; the disca of december 312015 is $ 82.27 ; the disca of december 312016 is $ 84.53 ; the disca of december 312017 is $ 69.01 ;"}, "exe_ans": -0.3099, "tfidftopn": {"text_19": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , scripps network interactive , inc. , time warner , inc. , twenty-first century fox , inc .", "text_14": "there were no repurchases of our series a and b common stock during 2017 and no repurchases of series c common stock during the three months ended december 31 , 2017 ."}, "program_re": "divide(subtract(69.01, const_100), const_100)", "model_input": [["text_22", "the graph assumes $ 100 originally invested on december 31 , 2012 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2013 , 2014 , 2015 , 2016 and 2017 ."], ["table_1", "the disca of december 312012 is $ 100.00 ; the disca of december 312013 is $ 139.42 ; the disca of december 312014 is $ 106.23 ; the disca of december 312015 is $ 82.27 ; the disca of december 312016 is $ 84.53 ; the disca of december 312017 is $ 69.01 ;"], ["table_2", "the discb of december 312012 is $ 100.00 ; the discb of december 312013 is $ 144.61 ; the discb of december 312014 is $ 116.45 ; the discb of december 312015 is $ 85.03 ; the discb of december 312016 is $ 91.70 ; the discb of december 312017 is $ 78.01 ;"]]}, "answers": ["-30.99%"]}, "rejected_source": {"id": "DISCA/2017/page_41.pdf-4", "qa": {"question": "what was the percentage cumulative total shareholder return on disca common stock for the five year period ended december 31 , 2017?", "answer": "-21.99%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "78.01", "arg2": "const_100", "res": "-21.99"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "-21.99%"}], "program": "subtract(78.01, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of december 312012 is $ 100.00 ; the discb of december 312013 is $ 144.61 ; the discb of december 312014 is $ 116.45 ; the discb of december 312015 is $ 85.03 ; the discb of december 312016 is $ 91.70 ; the discb of december 312017 is $ 78.01 ;"}, "exe_ans": -0.2199, "tfidftopn": {"text_19": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , scripps network interactive , inc. , time warner , inc. , twenty-first century fox , inc .", "table_1": "The disca of december 312012 is $ 100.00 ; The disca of december 312013 is $ 139.42 ; The disca of december 312014 is $ 106.23 ; The disca of december 312015 is $ 82.27 ; The disca of december 312016 is $ 84.53 ; The disca of december 312017 is $ 69.01 ;"}, "program_re": "divide(subtract(78.01, const_100), const_100)", "model_input": [["text_22", "the graph assumes $ 100 originally invested on december 31 , 2012 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2013 , 2014 , 2015 , 2016 and 2017 ."], ["table_1", "the disca of december 312012 is $ 100.00 ; the disca of december 312013 is $ 139.42 ; the disca of december 312014 is $ 106.23 ; the disca of december 312015 is $ 82.27 ; the disca of december 312016 is $ 84.53 ; the disca of december 312017 is $ 69.01 ;"], ["table_2", "the discb of december 312012 is $ 100.00 ; the discb of december 312013 is $ 144.61 ; the discb of december 312014 is $ 116.45 ; the discb of december 312015 is $ 85.03 ; the discb of december 312016 is $ 91.70 ; the discb of december 312017 is $ 78.01 ;"]]}, "answers": ["-21.99%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000715", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of specialty businesses sales where due to chemicals sales in 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "60%.", "rejected": "76%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of specialty businesses sales where due to chemicals sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of specialty businesses sales where due to chemicals sales <TIME>?", "original_question": "what percentage of specialty businesses sales where due to chemicals sales in 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"60%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "76%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "IP/2005/page_31.pdf-2", "qa": {"question": "what percentage of specialty businesses sales where due to chemicals sales in 2004?", "answer": "60%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [17], "steps": [{"op": "divide2-1", "arg1": "672", "arg2": "1120", "res": "60%"}], "program": "divide(672, 1120)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ; the sales of 2003 is $ 1235 ;", "text_17": "chemicals sales were $ 692 million in 2005 , com- pared with $ 672 million in 2004 and $ 625 million in 2003 ."}, "exe_ans": 0.6, "tfidftopn": {"text_16": "specialty businesses and other in millions 2005 2004 2003 ."}, "program_re": "divide(672, 1120)", "model_input": [["table_1", "in millions the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ; the sales of 2003 is $ 1235 ;"], ["table_2", "in millions the operating profit of 2005 is $ 4 ; the operating profit of 2004 is $ 38 ; the operating profit of 2003 is $ 23 ;"], ["text_17", "chemicals sales were $ 692 million in 2005 , com- pared with $ 672 million in 2004 and $ 625 million in 2003 ."]]}, "answers": ["60%"]}, "rejected_source": {"id": "IP/2005/page_31.pdf-1", "qa": {"question": "what percentage of specialty businesses sales where due to chemicals sales in 2005?", "answer": "76%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [17], "steps": [{"op": "divide1-1", "arg1": "692", "arg2": "915", "res": "76%"}], "program": "divide(692, 915)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ; the sales of 2003 is $ 1235 ;", "text_17": "chemicals sales were $ 692 million in 2005 , com- pared with $ 672 million in 2004 and $ 625 million in 2003 ."}, "exe_ans": 0.75628, "tfidftopn": {"text_16": "specialty businesses and other in millions 2005 2004 2003 ."}, "program_re": "divide(692, 915)", "model_input": [["table_1", "in millions the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ; the sales of 2003 is $ 1235 ;"], ["table_2", "in millions the operating profit of 2005 is $ 4 ; the operating profit of 2004 is $ 38 ; the operating profit of 2003 is $ 23 ;"], ["text_17", "chemicals sales were $ 692 million in 2005 , com- pared with $ 672 million in 2004 and $ 625 million in 2003 ."]]}, "answers": ["76%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000716", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of specialty businesses sales where due to chemicals sales in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "76%.", "rejected": "60%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of specialty businesses sales where due to chemicals sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of specialty businesses sales where due to chemicals sales <TIME>?", "original_question": "what percentage of specialty businesses sales where due to chemicals sales in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"60%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "76%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "IP/2005/page_31.pdf-1", "qa": {"question": "what percentage of specialty businesses sales where due to chemicals sales in 2005?", "answer": "76%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [17], "steps": [{"op": "divide1-1", "arg1": "692", "arg2": "915", "res": "76%"}], "program": "divide(692, 915)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ; the sales of 2003 is $ 1235 ;", "text_17": "chemicals sales were $ 692 million in 2005 , com- pared with $ 672 million in 2004 and $ 625 million in 2003 ."}, "exe_ans": 0.75628, "tfidftopn": {"text_16": "specialty businesses and other in millions 2005 2004 2003 ."}, "program_re": "divide(692, 915)", "model_input": [["table_1", "in millions the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ; the sales of 2003 is $ 1235 ;"], ["table_2", "in millions the operating profit of 2005 is $ 4 ; the operating profit of 2004 is $ 38 ; the operating profit of 2003 is $ 23 ;"], ["text_17", "chemicals sales were $ 692 million in 2005 , com- pared with $ 672 million in 2004 and $ 625 million in 2003 ."]]}, "answers": ["76%"]}, "rejected_source": {"id": "IP/2005/page_31.pdf-2", "qa": {"question": "what percentage of specialty businesses sales where due to chemicals sales in 2004?", "answer": "60%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [17], "steps": [{"op": "divide2-1", "arg1": "672", "arg2": "1120", "res": "60%"}], "program": "divide(672, 1120)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ; the sales of 2003 is $ 1235 ;", "text_17": "chemicals sales were $ 692 million in 2005 , com- pared with $ 672 million in 2004 and $ 625 million in 2003 ."}, "exe_ans": 0.6, "tfidftopn": {"text_16": "specialty businesses and other in millions 2005 2004 2003 ."}, "program_re": "divide(672, 1120)", "model_input": [["table_1", "in millions the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ; the sales of 2003 is $ 1235 ;"], ["table_2", "in millions the operating profit of 2005 is $ 4 ; the operating profit of 2004 is $ 38 ; the operating profit of 2003 is $ 23 ;"], ["text_17", "chemicals sales were $ 692 million in 2005 , com- pared with $ 672 million in 2004 and $ 625 million in 2003 ."]]}, "answers": ["60%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000717", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in operating income from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "145%.", "rejected": "73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what was the percentage change in operating income <TIME>?", "doc_prefix": "FIS", "base_question": "what was the percentage change in operating income <TIME>?", "original_question": "what was the percentage change in operating income from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"73%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "145%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "FIS/2006/page_48.pdf-2", "qa": {"question": "what was the percentage change in operating income from 2005 to 2006?", "answer": "145%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "302644", "arg2": "123715", "res": "178929"}, {"op": "divide2-2", "arg1": "#0", "arg2": "123715", "res": "145%"}], "program": "subtract(302644, 123715), divide(#0, 123715)", "gold_inds": {"table_6": "the operating income of 2006 is $ 302644 ; the operating income of 2005 is $ 123715 ; the operating income of 2004 is $ 71336 ;"}, "exe_ans": 1.4463, "tfidftopn": {"text_3": "income tax expense income tax expense totaled $ 150.2 million , $ 116.1 million and $ 118.3 million for 2006 , 2005 and 2004 , respectively .", "text_14": "gross profit as a percentage of revenues ( 201cgross margin 201d ) was 22.2% ( 22.2 % ) , 25.2% ( 25.2 % ) and 25.2% ( 25.2 % ) for 2006 , 2005 and 2004 , respectively ."}, "program_re": "divide(subtract(302644, 123715), 123715)", "model_input": [["text_5", "net earnings net earnings totaled $ 259.1 million , $ 196.6 and $ 189.4 million for 2006 , 2005 and 2004 , respectively , or $ 1.37 , $ 1.53 and $ 1.48 per diluted share , respectively ."], ["table_6", "the operating income of 2006 is $ 302644 ; the operating income of 2005 is $ 123715 ; the operating income of 2004 is $ 71336 ;"], ["text_17", "included in cost of revenues was depreciation and amortization of $ 272.4 million , $ 139.8 million , and $ 94.6 million for 2006 , 2005 and 2004 , respectively ."]]}, "answers": ["145%"]}, "rejected_source": {"id": "FIS/2006/page_48.pdf-4", "qa": {"question": "what was the percentage change in operating income from 2004 to 2005?", "answer": "73%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "123715", "arg2": "71336", "res": "52379"}, {"op": "divide1-2", "arg1": "#0", "arg2": "71336", "res": "73%"}], "program": "subtract(123715, 71336), divide(#0, 71336)", "gold_inds": {"table_6": "the operating income of 2006 is $ 302644 ; the operating income of 2005 is $ 123715 ; the operating income of 2004 is $ 71336 ;"}, "exe_ans": 0.73426, "tfidftopn": {"text_3": "income tax expense income tax expense totaled $ 150.2 million , $ 116.1 million and $ 118.3 million for 2006 , 2005 and 2004 , respectively .", "text_14": "gross profit as a percentage of revenues ( 201cgross margin 201d ) was 22.2% ( 22.2 % ) , 25.2% ( 25.2 % ) and 25.2% ( 25.2 % ) for 2006 , 2005 and 2004 , respectively ."}, "program_re": "divide(subtract(123715, 71336), 71336)", "model_input": [["table_6", "the operating income of 2006 is $ 302644 ; the operating income of 2005 is $ 123715 ; the operating income of 2004 is $ 71336 ;"], ["text_17", "included in cost of revenues was depreciation and amortization of $ 272.4 million , $ 139.8 million , and $ 94.6 million for 2006 , 2005 and 2004 , respectively ."], ["text_21", "included in selling , general and administrative expenses was depreciation and amortization of $ 11.0 million , $ 9.1 million and $ 2.3 million for 2006 , 2005 and 2004 , respectively. ."]]}, "answers": ["73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000718", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in operating income from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "73%.", "rejected": "145%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what was the percentage change in operating income <TIME>?", "doc_prefix": "FIS", "base_question": "what was the percentage change in operating income <TIME>?", "original_question": "what was the percentage change in operating income from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"73%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "145%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "FIS/2006/page_48.pdf-4", "qa": {"question": "what was the percentage change in operating income from 2004 to 2005?", "answer": "73%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "123715", "arg2": "71336", "res": "52379"}, {"op": "divide1-2", "arg1": "#0", "arg2": "71336", "res": "73%"}], "program": "subtract(123715, 71336), divide(#0, 71336)", "gold_inds": {"table_6": "the operating income of 2006 is $ 302644 ; the operating income of 2005 is $ 123715 ; the operating income of 2004 is $ 71336 ;"}, "exe_ans": 0.73426, "tfidftopn": {"text_3": "income tax expense income tax expense totaled $ 150.2 million , $ 116.1 million and $ 118.3 million for 2006 , 2005 and 2004 , respectively .", "text_14": "gross profit as a percentage of revenues ( 201cgross margin 201d ) was 22.2% ( 22.2 % ) , 25.2% ( 25.2 % ) and 25.2% ( 25.2 % ) for 2006 , 2005 and 2004 , respectively ."}, "program_re": "divide(subtract(123715, 71336), 71336)", "model_input": [["table_6", "the operating income of 2006 is $ 302644 ; the operating income of 2005 is $ 123715 ; the operating income of 2004 is $ 71336 ;"], ["text_17", "included in cost of revenues was depreciation and amortization of $ 272.4 million , $ 139.8 million , and $ 94.6 million for 2006 , 2005 and 2004 , respectively ."], ["text_21", "included in selling , general and administrative expenses was depreciation and amortization of $ 11.0 million , $ 9.1 million and $ 2.3 million for 2006 , 2005 and 2004 , respectively. ."]]}, "answers": ["73%"]}, "rejected_source": {"id": "FIS/2006/page_48.pdf-2", "qa": {"question": "what was the percentage change in operating income from 2005 to 2006?", "answer": "145%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "302644", "arg2": "123715", "res": "178929"}, {"op": "divide2-2", "arg1": "#0", "arg2": "123715", "res": "145%"}], "program": "subtract(302644, 123715), divide(#0, 123715)", "gold_inds": {"table_6": "the operating income of 2006 is $ 302644 ; the operating income of 2005 is $ 123715 ; the operating income of 2004 is $ 71336 ;"}, "exe_ans": 1.4463, "tfidftopn": {"text_3": "income tax expense income tax expense totaled $ 150.2 million , $ 116.1 million and $ 118.3 million for 2006 , 2005 and 2004 , respectively .", "text_14": "gross profit as a percentage of revenues ( 201cgross margin 201d ) was 22.2% ( 22.2 % ) , 25.2% ( 25.2 % ) and 25.2% ( 25.2 % ) for 2006 , 2005 and 2004 , respectively ."}, "program_re": "divide(subtract(302644, 123715), 123715)", "model_input": [["text_5", "net earnings net earnings totaled $ 259.1 million , $ 196.6 and $ 189.4 million for 2006 , 2005 and 2004 , respectively , or $ 1.37 , $ 1.53 and $ 1.48 per diluted share , respectively ."], ["table_6", "the operating income of 2006 is $ 302644 ; the operating income of 2005 is $ 123715 ; the operating income of 2004 is $ 71336 ;"], ["text_17", "included in cost of revenues was depreciation and amortization of $ 272.4 million , $ 139.8 million , and $ 94.6 million for 2006 , 2005 and 2004 , respectively ."]]}, "answers": ["145%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000719", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total revenues net of interest expense where net interest revenues in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "73%.", "rejected": "87%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total revenues net of interest expense where net interest revenues <TIME>?", "doc_prefix": "C", "base_question": "what percentage of total revenues net of interest expense where net interest revenues <TIME>?", "original_question": "what percentage of total revenues net of interest expense where net interest revenues in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"73%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "87%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "C/2010/page_50.pdf-1", "qa": {"question": "what percentage of total revenues net of interest expense where net interest revenues in 2009?", "answer": "73%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "12995", "arg2": "17765", "res": "73%"}], "program": "divide(12995, 17765)", "gold_inds": {"table_1": "in millions of dollars the net interest revenue of 2010 is $ 13831 ; the net interest revenue of 2009 is $ 12995 ; the net interest revenue of 2008 is $ 17136 ; the net interest revenue of % ( % ) change 2010 vs . 2009 is 6% ( 6 % ) ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2010 is $ 15826 ; the total revenues net of interest expense of 2009 is $ 17765 ; the total revenues net of interest expense of 2008 is $ 23498 ; the total revenues net of interest expense of % ( % ) change 2010 vs . 2009 is ( 11 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"}, "exe_ans": 0.73149, "tfidftopn": {"text_10": "2009 revenues , net of interest expense decreased 11% ( 11 % ) from the prior year ."}, "program_re": "divide(12995, 17765)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2010 is $ 13831 ; the net interest revenue of 2009 is $ 12995 ; the net interest revenue of 2008 is $ 17136 ; the net interest revenue of % ( % ) change 2010 vs . 2009 is 6% ( 6 % ) ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2010 is 1995 ; the non-interest revenue of 2009 is 4770 ; the non-interest revenue of 2008 is 6362 ; the non-interest revenue of % ( % ) change 2010 vs . 2009 is -58 ( 58 ) ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -25 ( 25 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2010 is $ 15826 ; the total revenues net of interest expense of 2009 is $ 17765 ; the total revenues net of interest expense of 2008 is $ 23498 ; the total revenues net of interest expense of % ( % ) change 2010 vs . 2009 is ( 11 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"]]}, "answers": ["73%"]}, "rejected_source": {"id": "C/2010/page_50.pdf-2", "qa": {"question": "what percentage of total revenues net of interest expense where net interest revenues in 2010?", "answer": "87%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "13831", "arg2": "15826", "res": "87%"}], "program": "divide(13831, 15826)", "gold_inds": {"table_1": "in millions of dollars the net interest revenue of 2010 is $ 13831 ; the net interest revenue of 2009 is $ 12995 ; the net interest revenue of 2008 is $ 17136 ; the net interest revenue of % ( % ) change 2010 vs . 2009 is 6% ( 6 % ) ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2010 is $ 15826 ; the total revenues net of interest expense of 2009 is $ 17765 ; the total revenues net of interest expense of 2008 is $ 23498 ; the total revenues net of interest expense of % ( % ) change 2010 vs . 2009 is ( 11 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"}, "exe_ans": 0.87394, "tfidftopn": {"text_23": "2008 revenues , net of interest expense decreased 24% ( 24 % ) from the prior year ."}, "program_re": "divide(13831, 15826)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2010 is $ 13831 ; the net interest revenue of 2009 is $ 12995 ; the net interest revenue of 2008 is $ 17136 ; the net interest revenue of % ( % ) change 2010 vs . 2009 is 6% ( 6 % ) ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2010 is 1995 ; the non-interest revenue of 2009 is 4770 ; the non-interest revenue of 2008 is 6362 ; the non-interest revenue of % ( % ) change 2010 vs . 2009 is -58 ( 58 ) ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -25 ( 25 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2010 is $ 15826 ; the total revenues net of interest expense of 2009 is $ 17765 ; the total revenues net of interest expense of 2008 is $ 23498 ; the total revenues net of interest expense of % ( % ) change 2010 vs . 2009 is ( 11 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"]]}, "answers": ["87%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000720", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total revenues net of interest expense where net interest revenues in 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "87%.", "rejected": "73%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total revenues net of interest expense where net interest revenues <TIME>?", "doc_prefix": "C", "base_question": "what percentage of total revenues net of interest expense where net interest revenues <TIME>?", "original_question": "what percentage of total revenues net of interest expense where net interest revenues in 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"73%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "87%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "C/2010/page_50.pdf-2", "qa": {"question": "what percentage of total revenues net of interest expense where net interest revenues in 2010?", "answer": "87%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "13831", "arg2": "15826", "res": "87%"}], "program": "divide(13831, 15826)", "gold_inds": {"table_1": "in millions of dollars the net interest revenue of 2010 is $ 13831 ; the net interest revenue of 2009 is $ 12995 ; the net interest revenue of 2008 is $ 17136 ; the net interest revenue of % ( % ) change 2010 vs . 2009 is 6% ( 6 % ) ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2010 is $ 15826 ; the total revenues net of interest expense of 2009 is $ 17765 ; the total revenues net of interest expense of 2008 is $ 23498 ; the total revenues net of interest expense of % ( % ) change 2010 vs . 2009 is ( 11 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"}, "exe_ans": 0.87394, "tfidftopn": {"text_23": "2008 revenues , net of interest expense decreased 24% ( 24 % ) from the prior year ."}, "program_re": "divide(13831, 15826)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2010 is $ 13831 ; the net interest revenue of 2009 is $ 12995 ; the net interest revenue of 2008 is $ 17136 ; the net interest revenue of % ( % ) change 2010 vs . 2009 is 6% ( 6 % ) ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2010 is 1995 ; the non-interest revenue of 2009 is 4770 ; the non-interest revenue of 2008 is 6362 ; the non-interest revenue of % ( % ) change 2010 vs . 2009 is -58 ( 58 ) ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -25 ( 25 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2010 is $ 15826 ; the total revenues net of interest expense of 2009 is $ 17765 ; the total revenues net of interest expense of 2008 is $ 23498 ; the total revenues net of interest expense of % ( % ) change 2010 vs . 2009 is ( 11 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"]]}, "answers": ["87%"]}, "rejected_source": {"id": "C/2010/page_50.pdf-1", "qa": {"question": "what percentage of total revenues net of interest expense where net interest revenues in 2009?", "answer": "73%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "12995", "arg2": "17765", "res": "73%"}], "program": "divide(12995, 17765)", "gold_inds": {"table_1": "in millions of dollars the net interest revenue of 2010 is $ 13831 ; the net interest revenue of 2009 is $ 12995 ; the net interest revenue of 2008 is $ 17136 ; the net interest revenue of % ( % ) change 2010 vs . 2009 is 6% ( 6 % ) ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2010 is $ 15826 ; the total revenues net of interest expense of 2009 is $ 17765 ; the total revenues net of interest expense of 2008 is $ 23498 ; the total revenues net of interest expense of % ( % ) change 2010 vs . 2009 is ( 11 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"}, "exe_ans": 0.73149, "tfidftopn": {"text_10": "2009 revenues , net of interest expense decreased 11% ( 11 % ) from the prior year ."}, "program_re": "divide(12995, 17765)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2010 is $ 13831 ; the net interest revenue of 2009 is $ 12995 ; the net interest revenue of 2008 is $ 17136 ; the net interest revenue of % ( % ) change 2010 vs . 2009 is 6% ( 6 % ) ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2010 is 1995 ; the non-interest revenue of 2009 is 4770 ; the non-interest revenue of 2008 is 6362 ; the non-interest revenue of % ( % ) change 2010 vs . 2009 is -58 ( 58 ) ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -25 ( 25 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2010 is $ 15826 ; the total revenues net of interest expense of 2009 is $ 17765 ; the total revenues net of interest expense of 2008 is $ 23498 ; the total revenues net of interest expense of % ( % ) change 2010 vs . 2009 is ( 11 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 24 ) % ( % ) ;"]]}, "answers": ["73%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000721", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental expense from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "47%.", "rejected": "52%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LKQ || what was the percentage change in rental expense <TIME>?", "doc_prefix": "LKQ", "base_question": "what was the percentage change in rental expense <TIME>?", "original_question": "what was the percentage change in rental expense from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"52%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "47%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "LKQ/2007/page_76.pdf-2", "qa": {"question": "what was the percentage change in rental expense from 2006 to 2007?", "answer": "47%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [7], "steps": [{"op": "minus2-1", "arg1": "27.4", "arg2": "18.6", "res": "8.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18.6", "res": "47%"}], "program": "subtract(27.4, 18.6), divide(#0, 18.6)", "gold_inds": {"text_7": "rental expense for operating leases was approximately $ 27.4 million , $ 18.6 million and $ 12.2 million during the years ended december 31 , 2007 , 2006 and 2005 , respectively ."}, "exe_ans": 0.47312, "tfidftopn": {"text_9": "the residual values decline over the lease terms to a defined percentage of original cost .", "text_1": "long-term obligations ( continued ) as part of the consideration for business acquisitions completed during 2007 , 2006 and 2005 , we issued promissory notes totaling approximately $ 1.7 million , $ 7.2 million and $ 6.4 million , respectively ."}, "program_re": "divide(subtract(27.4, 18.6), 18.6)", "model_input": [["text_6", "the future minimum lease commitments under these leases at december 31 , 2007 are as follows ( in thousands ) : years ending december 31: ."], ["text_7", "rental expense for operating leases was approximately $ 27.4 million , $ 18.6 million and $ 12.2 million during the years ended december 31 , 2007 , 2006 and 2005 , respectively ."], ["text_12", "had we terminated all of our operating leases subject to these guaranties at december 31 , 2007 , the guarantied residual value would have totaled approximately $ 24.0 million ."]]}, "answers": ["47%"]}, "rejected_source": {"id": "LKQ/2007/page_76.pdf-1", "qa": {"question": "what was the percentage change in rental expense from 2005 to 2006?", "answer": "52%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [7], "steps": [{"op": "minus1-1", "arg1": "18.6", "arg2": "12.2", "res": "6.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "12.2", "res": "52%"}], "program": "subtract(18.6, 12.2), divide(#0, 12.2)", "gold_inds": {"text_7": "rental expense for operating leases was approximately $ 27.4 million , $ 18.6 million and $ 12.2 million during the years ended december 31 , 2007 , 2006 and 2005 , respectively ."}, "exe_ans": 0.52459, "tfidftopn": {"text_9": "the residual values decline over the lease terms to a defined percentage of original cost .", "text_4": "the annual interest rate on the note , which was retired during 2006 , was note 6 ."}, "program_re": "divide(subtract(18.6, 12.2), 12.2)", "model_input": [["text_6", "the future minimum lease commitments under these leases at december 31 , 2007 are as follows ( in thousands ) : years ending december 31: ."], ["text_7", "rental expense for operating leases was approximately $ 27.4 million , $ 18.6 million and $ 12.2 million during the years ended december 31 , 2007 , 2006 and 2005 , respectively ."], ["text_12", "had we terminated all of our operating leases subject to these guaranties at december 31 , 2007 , the guarantied residual value would have totaled approximately $ 24.0 million ."]]}, "answers": ["52%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000722", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental expense from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "52%.", "rejected": "47%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LKQ || what was the percentage change in rental expense <TIME>?", "doc_prefix": "LKQ", "base_question": "what was the percentage change in rental expense <TIME>?", "original_question": "what was the percentage change in rental expense from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"52%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "47%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "LKQ/2007/page_76.pdf-1", "qa": {"question": "what was the percentage change in rental expense from 2005 to 2006?", "answer": "52%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [7], "steps": [{"op": "minus1-1", "arg1": "18.6", "arg2": "12.2", "res": "6.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "12.2", "res": "52%"}], "program": "subtract(18.6, 12.2), divide(#0, 12.2)", "gold_inds": {"text_7": "rental expense for operating leases was approximately $ 27.4 million , $ 18.6 million and $ 12.2 million during the years ended december 31 , 2007 , 2006 and 2005 , respectively ."}, "exe_ans": 0.52459, "tfidftopn": {"text_9": "the residual values decline over the lease terms to a defined percentage of original cost .", "text_4": "the annual interest rate on the note , which was retired during 2006 , was note 6 ."}, "program_re": "divide(subtract(18.6, 12.2), 12.2)", "model_input": [["text_6", "the future minimum lease commitments under these leases at december 31 , 2007 are as follows ( in thousands ) : years ending december 31: ."], ["text_7", "rental expense for operating leases was approximately $ 27.4 million , $ 18.6 million and $ 12.2 million during the years ended december 31 , 2007 , 2006 and 2005 , respectively ."], ["text_12", "had we terminated all of our operating leases subject to these guaranties at december 31 , 2007 , the guarantied residual value would have totaled approximately $ 24.0 million ."]]}, "answers": ["52%"]}, "rejected_source": {"id": "LKQ/2007/page_76.pdf-2", "qa": {"question": "what was the percentage change in rental expense from 2006 to 2007?", "answer": "47%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [7], "steps": [{"op": "minus2-1", "arg1": "27.4", "arg2": "18.6", "res": "8.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18.6", "res": "47%"}], "program": "subtract(27.4, 18.6), divide(#0, 18.6)", "gold_inds": {"text_7": "rental expense for operating leases was approximately $ 27.4 million , $ 18.6 million and $ 12.2 million during the years ended december 31 , 2007 , 2006 and 2005 , respectively ."}, "exe_ans": 0.47312, "tfidftopn": {"text_9": "the residual values decline over the lease terms to a defined percentage of original cost .", "text_1": "long-term obligations ( continued ) as part of the consideration for business acquisitions completed during 2007 , 2006 and 2005 , we issued promissory notes totaling approximately $ 1.7 million , $ 7.2 million and $ 6.4 million , respectively ."}, "program_re": "divide(subtract(27.4, 18.6), 18.6)", "model_input": [["text_6", "the future minimum lease commitments under these leases at december 31 , 2007 are as follows ( in thousands ) : years ending december 31: ."], ["text_7", "rental expense for operating leases was approximately $ 27.4 million , $ 18.6 million and $ 12.2 million during the years ended december 31 , 2007 , 2006 and 2005 , respectively ."], ["text_12", "had we terminated all of our operating leases subject to these guaranties at december 31 , 2007 , the guarantied residual value would have totaled approximately $ 24.0 million ."]]}, "answers": ["47%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000723", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was total mainline operating expenses for 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "28824.", "rejected": "31903.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAL || what was total mainline operating expenses <TIME>?", "doc_prefix": "AAL", "base_question": "what was total mainline operating expenses <TIME>?", "original_question": "what was total mainline operating expenses for 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"31903": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "28824": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AAL/2015/page_18.pdf-1", "qa": {"question": "what was total mainline operating expenses for 2015?", "answer": "28824", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "6226", "arg2": "21.6%", "res": "28824"}], "program": "divide(6226, 21.6%)", "gold_inds": {"table_1": "year the 2015 of gallons is 3611 ; the 2015 of average price pergallon is $ 1.72 ; the 2015 of aircraft fuel expense is $ 6226 ; the 2015 of percent of total mainline operating expenses is 21.6% ( 21.6 % ) ;"}, "exe_ans": 28824.07407, "tfidftopn": {"text_9": "year gallons average price per gallon aircraft fuel expense percent of total mainline operating expenses .", "text_10": "total fuel expenses for our wholly-owned and third-party regional carriers operating under capacity purchase agreements of american were $ 1.2 billion and $ 2.0 billion for the years ended december 31 , 2015 and 2014 , respectively ."}, "program_re": "divide(6226, 21.6%)", "model_input": [["text_7", "based on our 2016 forecasted mainline and regional fuel consumption , we estimate that , as of december 31 , 2015 , a one cent per gallon increase in aviation fuel price would increase our 2016 annual fuel expense by $ 44 million ."], ["table_1", "year the 2015 of gallons is 3611 ; the 2015 of average price pergallon is $ 1.72 ; the 2015 of aircraft fuel expense is $ 6226 ; the 2015 of percent of total mainline operating expenses is 21.6% ( 21.6 % ) ;"], ["table_2", "year the 2014 of gallons is 3644 ; the 2014 of average price pergallon is 2.91 ; the 2014 of aircraft fuel expense is 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"]]}, "answers": ["28824"]}, "rejected_source": {"id": "AAL/2015/page_18.pdf-2", "qa": {"question": "what was total mainline operating expenses for 2014?", "answer": "31903", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "10592", "arg2": "33.2%", "res": "31903"}], "program": "divide(10592, 33.2%)", "gold_inds": {"table_2": "year the 2014 of gallons is 3644 ; the 2014 of average price pergallon is 2.91 ; the 2014 of aircraft fuel expense is 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"}, "exe_ans": 31903.61446, "tfidftopn": {"text_9": "year gallons average price per gallon aircraft fuel expense percent of total mainline operating expenses .", "text_10": "total fuel expenses for our wholly-owned and third-party regional carriers operating under capacity purchase agreements of american were $ 1.2 billion and $ 2.0 billion for the years ended december 31 , 2015 and 2014 , respectively ."}, "program_re": "divide(10592, 33.2%)", "model_input": [["table_1", "year the 2015 of gallons is 3611 ; the 2015 of average price pergallon is $ 1.72 ; the 2015 of aircraft fuel expense is $ 6226 ; the 2015 of percent of total mainline operating expenses is 21.6% ( 21.6 % ) ;"], ["table_2", "year the 2014 of gallons is 3644 ; the 2014 of average price pergallon is 2.91 ; the 2014 of aircraft fuel expense is 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"], ["text_10", "total fuel expenses for our wholly-owned and third-party regional carriers operating under capacity purchase agreements of american were $ 1.2 billion and $ 2.0 billion for the years ended december 31 , 2015 and 2014 , respectively ."]]}, "answers": ["31903"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000724", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was total mainline operating expenses for 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "31903.", "rejected": "28824.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAL || what was total mainline operating expenses <TIME>?", "doc_prefix": "AAL", "base_question": "what was total mainline operating expenses <TIME>?", "original_question": "what was total mainline operating expenses for 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"31903": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "28824": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AAL/2015/page_18.pdf-2", "qa": {"question": "what was total mainline operating expenses for 2014?", "answer": "31903", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "10592", "arg2": "33.2%", "res": "31903"}], "program": "divide(10592, 33.2%)", "gold_inds": {"table_2": "year the 2014 of gallons is 3644 ; the 2014 of average price pergallon is 2.91 ; the 2014 of aircraft fuel expense is 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"}, "exe_ans": 31903.61446, "tfidftopn": {"text_9": "year gallons average price per gallon aircraft fuel expense percent of total mainline operating expenses .", "text_10": "total fuel expenses for our wholly-owned and third-party regional carriers operating under capacity purchase agreements of american were $ 1.2 billion and $ 2.0 billion for the years ended december 31 , 2015 and 2014 , respectively ."}, "program_re": "divide(10592, 33.2%)", "model_input": [["table_1", "year the 2015 of gallons is 3611 ; the 2015 of average price pergallon is $ 1.72 ; the 2015 of aircraft fuel expense is $ 6226 ; the 2015 of percent of total mainline operating expenses is 21.6% ( 21.6 % ) ;"], ["table_2", "year the 2014 of gallons is 3644 ; the 2014 of average price pergallon is 2.91 ; the 2014 of aircraft fuel expense is 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"], ["text_10", "total fuel expenses for our wholly-owned and third-party regional carriers operating under capacity purchase agreements of american were $ 1.2 billion and $ 2.0 billion for the years ended december 31 , 2015 and 2014 , respectively ."]]}, "answers": ["31903"]}, "rejected_source": {"id": "AAL/2015/page_18.pdf-1", "qa": {"question": "what was total mainline operating expenses for 2015?", "answer": "28824", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "6226", "arg2": "21.6%", "res": "28824"}], "program": "divide(6226, 21.6%)", "gold_inds": {"table_1": "year the 2015 of gallons is 3611 ; the 2015 of average price pergallon is $ 1.72 ; the 2015 of aircraft fuel expense is $ 6226 ; the 2015 of percent of total mainline operating expenses is 21.6% ( 21.6 % ) ;"}, "exe_ans": 28824.07407, "tfidftopn": {"text_9": "year gallons average price per gallon aircraft fuel expense percent of total mainline operating expenses .", "text_10": "total fuel expenses for our wholly-owned and third-party regional carriers operating under capacity purchase agreements of american were $ 1.2 billion and $ 2.0 billion for the years ended december 31 , 2015 and 2014 , respectively ."}, "program_re": "divide(6226, 21.6%)", "model_input": [["text_7", "based on our 2016 forecasted mainline and regional fuel consumption , we estimate that , as of december 31 , 2015 , a one cent per gallon increase in aviation fuel price would increase our 2016 annual fuel expense by $ 44 million ."], ["table_1", "year the 2015 of gallons is 3611 ; the 2015 of average price pergallon is $ 1.72 ; the 2015 of aircraft fuel expense is $ 6226 ; the 2015 of percent of total mainline operating expenses is 21.6% ( 21.6 % ) ;"], ["table_2", "year the 2014 of gallons is 3644 ; the 2014 of average price pergallon is 2.91 ; the 2014 of aircraft fuel expense is 10592 ; the 2014 of percent of total mainline operating expenses is 33.2% ( 33.2 % ) ;"]]}, "answers": ["28824"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000725", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of printing paper sales where north american printing papers net sales 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "37%.", "rejected": "38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of printing paper sales where north american printing papers net sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of printing paper sales where north american printing papers net sales <TIME>?", "original_question": "what percentage of printing paper sales where north american printing papers net sales 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"37%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "38%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "IP/2015/page_44.pdf-2", "qa": {"question": "what percentage of printing paper sales where north american printing papers net sales 2014?", "answer": "37%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [11], "steps": [{"op": "multiply2-1", "arg1": "2.1", "arg2": "const_1000", "res": "2100"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5720", "res": "37%"}], "program": "multiply(2.1, const_1000), divide(#0, 5720)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 5031 ; the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ;", "text_11": "north american printing papers net sales were $ 1.9 billion in 2015 , $ 2.1 billion in 2014 and $ 2.6 billion in 2013 ."}, "exe_ans": 0.36713, "tfidftopn": {"text_10": "printing papers ."}, "program_re": "divide(multiply(2.1, const_1000), 5720)", "model_input": [["table_1", "in millions the sales of 2015 is $ 5031 ; the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is 533 ; the operating profit ( loss ) of 2014 is -16 ( 16 ) ; the operating profit ( loss ) of 2013 is 271 ;"], ["text_11", "north american printing papers net sales were $ 1.9 billion in 2015 , $ 2.1 billion in 2014 and $ 2.6 billion in 2013 ."]]}, "answers": ["37%"]}, "rejected_source": {"id": "IP/2015/page_44.pdf-1", "qa": {"question": "what percentage of printing paper sales where north american printing papers net sales 2015?", "answer": "38%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [11], "steps": [{"op": "multiply1-1", "arg1": "1.9", "arg2": "const_1000", "res": "1900"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5031", "res": "38%"}], "program": "multiply(1.9, const_1000), divide(#0, 5031)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 5031 ; the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ;", "text_11": "north american printing papers net sales were $ 1.9 billion in 2015 , $ 2.1 billion in 2014 and $ 2.6 billion in 2013 ."}, "exe_ans": 0.37766, "tfidftopn": {"text_10": "printing papers ."}, "program_re": "divide(multiply(1.9, const_1000), 5031)", "model_input": [["table_1", "in millions the sales of 2015 is $ 5031 ; the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is 533 ; the operating profit ( loss ) of 2014 is -16 ( 16 ) ; the operating profit ( loss ) of 2013 is 271 ;"], ["text_11", "north american printing papers net sales were $ 1.9 billion in 2015 , $ 2.1 billion in 2014 and $ 2.6 billion in 2013 ."]]}, "answers": ["38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000726", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of printing paper sales where north american printing papers net sales 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "38%.", "rejected": "37%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of printing paper sales where north american printing papers net sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of printing paper sales where north american printing papers net sales <TIME>?", "original_question": "what percentage of printing paper sales where north american printing papers net sales 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"37%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "38%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "IP/2015/page_44.pdf-1", "qa": {"question": "what percentage of printing paper sales where north american printing papers net sales 2015?", "answer": "38%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [11], "steps": [{"op": "multiply1-1", "arg1": "1.9", "arg2": "const_1000", "res": "1900"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5031", "res": "38%"}], "program": "multiply(1.9, const_1000), divide(#0, 5031)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 5031 ; the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ;", "text_11": "north american printing papers net sales were $ 1.9 billion in 2015 , $ 2.1 billion in 2014 and $ 2.6 billion in 2013 ."}, "exe_ans": 0.37766, "tfidftopn": {"text_10": "printing papers ."}, "program_re": "divide(multiply(1.9, const_1000), 5031)", "model_input": [["table_1", "in millions the sales of 2015 is $ 5031 ; the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is 533 ; the operating profit ( loss ) of 2014 is -16 ( 16 ) ; the operating profit ( loss ) of 2013 is 271 ;"], ["text_11", "north american printing papers net sales were $ 1.9 billion in 2015 , $ 2.1 billion in 2014 and $ 2.6 billion in 2013 ."]]}, "answers": ["38%"]}, "rejected_source": {"id": "IP/2015/page_44.pdf-2", "qa": {"question": "what percentage of printing paper sales where north american printing papers net sales 2014?", "answer": "37%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [11], "steps": [{"op": "multiply2-1", "arg1": "2.1", "arg2": "const_1000", "res": "2100"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5720", "res": "37%"}], "program": "multiply(2.1, const_1000), divide(#0, 5720)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 5031 ; the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ;", "text_11": "north american printing papers net sales were $ 1.9 billion in 2015 , $ 2.1 billion in 2014 and $ 2.6 billion in 2013 ."}, "exe_ans": 0.36713, "tfidftopn": {"text_10": "printing papers ."}, "program_re": "divide(multiply(2.1, const_1000), 5720)", "model_input": [["table_1", "in millions the sales of 2015 is $ 5031 ; the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is 533 ; the operating profit ( loss ) of 2014 is -16 ( 16 ) ; the operating profit ( loss ) of 2013 is 271 ;"], ["text_11", "north american printing papers net sales were $ 1.9 billion in 2015 , $ 2.1 billion in 2014 and $ 2.6 billion in 2013 ."]]}, "answers": ["37%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000727", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total operating expenses in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "11872.", "rejected": "8247.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what are the total operating expenses <TIME>?", "doc_prefix": "LMT", "base_question": "what are the total operating expenses <TIME>?", "original_question": "what are the total operating expenses in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11872": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "8247": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "LMT/2010/page_37.pdf-2", "qa": {"question": "what are the total operating expenses in 2009?", "answer": "11872", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "13532", "arg2": "1660", "res": "11872"}], "program": "subtract(13532, 1660)", "gold_inds": {"table_1": "( in millions ) the net sales of 2010 is $ 14363 ; the net sales of 2009 is $ 13532 ; the net sales of 2008 is $ 12803 ;", "table_2": "( in millions ) the operating profit of 2010 is 1712 ; the operating profit of 2009 is 1660 ; the operating profit of 2008 is 1583 ;"}, "exe_ans": 11872.0, "tfidftopn": {"text_18": "electronic systems 2019 operating results included the following : ( in millions ) 2010 2009 2008 ."}, "program_re": "subtract(13532, 1660)", "model_input": [["table_1", "( in millions ) the net sales of 2010 is $ 14363 ; the net sales of 2009 is $ 13532 ; the net sales of 2008 is $ 12803 ;"], ["table_2", "( in millions ) the operating profit of 2010 is 1712 ; the operating profit of 2009 is 1660 ; the operating profit of 2008 is 1583 ;"], ["table_3", "( in millions ) the operating margin of 2010 is 11.9% ( 11.9 % ) ; the operating margin of 2009 is 12.3% ( 12.3 % ) ; the operating margin of 2008 is 12.4% ( 12.4 % ) ;"]]}, "answers": ["11872"]}, "rejected_source": {"id": "LMT/2016/page_50.pdf-3", "qa": {"question": "what are the total operating expenses in 2015?", "answer": "8247", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "9091", "arg2": "844", "res": "8247"}], "program": "subtract(9091, 844)", "gold_inds": {"table_1": "the net sales of 2016 is $ 13462 ; the net sales of 2015 is $ 9091 ; the net sales of 2014 is $ 8732 ;", "table_2": "the operating profit of 2016 is 906 ; the operating profit of 2015 is 844 ; the operating profit of 2014 is 936 ;"}, "exe_ans": 8247.0, "tfidftopn": {"table_3": "The operating margin of 2016 is 6.7% ( 6.7 % ) ; The operating margin of 2015 is 9.3% ( 9.3 % ) ; The operating margin of 2014 is 10.7% ( 10.7 % ) ;"}, "program_re": "subtract(9091, 844)", "model_input": [["table_1", "the net sales of 2016 is $ 13462 ; the net sales of 2015 is $ 9091 ; the net sales of 2014 is $ 8732 ;"], ["table_2", "the operating profit of 2016 is 906 ; the operating profit of 2015 is 844 ; the operating profit of 2014 is 936 ;"], ["table_3", "the operating margin of 2016 is 6.7% ( 6.7 % ) ; the operating margin of 2015 is 9.3% ( 9.3 % ) ; the operating margin of 2014 is 10.7% ( 10.7 % ) ;"]]}, "answers": ["8247"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000728", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total operating expenses in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "8247.", "rejected": "11872.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what are the total operating expenses <TIME>?", "doc_prefix": "LMT", "base_question": "what are the total operating expenses <TIME>?", "original_question": "what are the total operating expenses in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11872": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "8247": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "LMT/2016/page_50.pdf-3", "qa": {"question": "what are the total operating expenses in 2015?", "answer": "8247", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "9091", "arg2": "844", "res": "8247"}], "program": "subtract(9091, 844)", "gold_inds": {"table_1": "the net sales of 2016 is $ 13462 ; the net sales of 2015 is $ 9091 ; the net sales of 2014 is $ 8732 ;", "table_2": "the operating profit of 2016 is 906 ; the operating profit of 2015 is 844 ; the operating profit of 2014 is 936 ;"}, "exe_ans": 8247.0, "tfidftopn": {"table_3": "The operating margin of 2016 is 6.7% ( 6.7 % ) ; The operating margin of 2015 is 9.3% ( 9.3 % ) ; The operating margin of 2014 is 10.7% ( 10.7 % ) ;"}, "program_re": "subtract(9091, 844)", "model_input": [["table_1", "the net sales of 2016 is $ 13462 ; the net sales of 2015 is $ 9091 ; the net sales of 2014 is $ 8732 ;"], ["table_2", "the operating profit of 2016 is 906 ; the operating profit of 2015 is 844 ; the operating profit of 2014 is 936 ;"], ["table_3", "the operating margin of 2016 is 6.7% ( 6.7 % ) ; the operating margin of 2015 is 9.3% ( 9.3 % ) ; the operating margin of 2014 is 10.7% ( 10.7 % ) ;"]]}, "answers": ["8247"]}, "rejected_source": {"id": "LMT/2010/page_37.pdf-2", "qa": {"question": "what are the total operating expenses in 2009?", "answer": "11872", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "13532", "arg2": "1660", "res": "11872"}], "program": "subtract(13532, 1660)", "gold_inds": {"table_1": "( in millions ) the net sales of 2010 is $ 14363 ; the net sales of 2009 is $ 13532 ; the net sales of 2008 is $ 12803 ;", "table_2": "( in millions ) the operating profit of 2010 is 1712 ; the operating profit of 2009 is 1660 ; the operating profit of 2008 is 1583 ;"}, "exe_ans": 11872.0, "tfidftopn": {"text_18": "electronic systems 2019 operating results included the following : ( in millions ) 2010 2009 2008 ."}, "program_re": "subtract(13532, 1660)", "model_input": [["table_1", "( in millions ) the net sales of 2010 is $ 14363 ; the net sales of 2009 is $ 13532 ; the net sales of 2008 is $ 12803 ;"], ["table_2", "( in millions ) the operating profit of 2010 is 1712 ; the operating profit of 2009 is 1660 ; the operating profit of 2008 is 1583 ;"], ["table_3", "( in millions ) the operating margin of 2010 is 11.9% ( 11.9 % ) ; the operating margin of 2009 is 12.3% ( 12.3 % ) ; the operating margin of 2008 is 12.4% ( 12.4 % ) ;"]]}, "answers": ["11872"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000729", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate of revenue from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "0.6%.", "rejected": "1.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AON || what is the growth rate of revenue <TIME>?", "doc_prefix": "AON", "base_question": "what is the growth rate of revenue <TIME>?", "original_question": "what is the growth rate of revenue from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.9%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "0.6%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "AON/2014/page_45.pdf-1", "qa": {"question": "what is the growth rate of revenue from 2013 to 2014?", "answer": "0.6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7834", "arg2": "7789", "res": "45"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7789", "res": "0.6%"}], "program": "subtract(7834, 7789), divide(#0, 7789)", "gold_inds": {"table_1": "years ended december 31 ( millions except percentage data ) the revenue of 2014 is $ 7834 ; the revenue of 2013 is $ 7789 ; the revenue of 2012 is $ 7632 ;"}, "exe_ans": 0.00578, "tfidftopn": {"text_0": "equity equity at december 31 , 2014 was $ 6.6 billion , a decrease of $ 1.6 billion from december 31 , 2013 .", "text_8": "the economic activity that impacts property and casualty insurance is described as exposure units , and is most closely correlated with employment levels , corporate revenue and asset values ."}, "program_re": "divide(subtract(7834, 7789), 7789)", "model_input": [["table_1", "years ended december 31 ( millions except percentage data ) the revenue of 2014 is $ 7834 ; the revenue of 2013 is $ 7789 ; the revenue of 2012 is $ 7632 ;"], ["table_2", "years ended december 31 ( millions except percentage data ) the operating income of 2014 is 1648 ; the operating income of 2013 is 1540 ; the operating income of 2012 is 1493 ;"], ["text_14", "revenues are generated primarily through fees paid by clients , commissions and fees paid by insurance and reinsurance companies , and investment income on funds held on behalf of clients ."]]}, "answers": ["0.6%"]}, "rejected_source": {"id": "AON/2010/page_52.pdf-1", "qa": {"question": "what is the growth rate of revenue from 2009 to 2010?", "answer": "1.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6423", "arg2": "6305", "res": "118"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6305", "res": "1.9%"}], "program": "subtract(6423, 6305), divide(#0, 6305)", "gold_inds": {"table_1": "years ended december 31 , the revenue of 2010 is $ 6423 ; the revenue of 2009 is $ 6305 ; the revenue of 2008 is $ 6197 ;"}, "exe_ans": 0.01872, "tfidftopn": {"text_16": "the economic activity that impacts property and casualty insurance is described as exposure units , and is most closely correlated with employment levels , corporate revenue and asset values .", "table_2": "years ended december 31, The operating income of 2010 is 1194 ; The operating income of 2009 is 900 ; The operating income of 2008 is 846 ;"}, "program_re": "divide(subtract(6423, 6305), 6305)", "model_input": [["table_1", "years ended december 31 , the revenue of 2010 is $ 6423 ; the revenue of 2009 is $ 6305 ; the revenue of 2008 is $ 6197 ;"], ["table_2", "years ended december 31, the operating income of 2010 is 1194 ; the operating income of 2009 is 900 ; the operating income of 2008 is 846 ;"], ["table_3", "years ended december 31, the operating margin of 2010 is 18.6% ( 18.6 % ) ; the operating margin of 2009 is 14.3% ( 14.3 % ) ; the operating margin of 2008 is 13.7% ( 13.7 % ) ;"]]}, "answers": ["1.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000730", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate of revenue from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "1.9%.", "rejected": "0.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AON || what is the growth rate of revenue <TIME>?", "doc_prefix": "AON", "base_question": "what is the growth rate of revenue <TIME>?", "original_question": "what is the growth rate of revenue from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.9%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "0.6%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "AON/2010/page_52.pdf-1", "qa": {"question": "what is the growth rate of revenue from 2009 to 2010?", "answer": "1.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6423", "arg2": "6305", "res": "118"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6305", "res": "1.9%"}], "program": "subtract(6423, 6305), divide(#0, 6305)", "gold_inds": {"table_1": "years ended december 31 , the revenue of 2010 is $ 6423 ; the revenue of 2009 is $ 6305 ; the revenue of 2008 is $ 6197 ;"}, "exe_ans": 0.01872, "tfidftopn": {"text_16": "the economic activity that impacts property and casualty insurance is described as exposure units , and is most closely correlated with employment levels , corporate revenue and asset values .", "table_2": "years ended december 31, The operating income of 2010 is 1194 ; The operating income of 2009 is 900 ; The operating income of 2008 is 846 ;"}, "program_re": "divide(subtract(6423, 6305), 6305)", "model_input": [["table_1", "years ended december 31 , the revenue of 2010 is $ 6423 ; the revenue of 2009 is $ 6305 ; the revenue of 2008 is $ 6197 ;"], ["table_2", "years ended december 31, the operating income of 2010 is 1194 ; the operating income of 2009 is 900 ; the operating income of 2008 is 846 ;"], ["table_3", "years ended december 31, the operating margin of 2010 is 18.6% ( 18.6 % ) ; the operating margin of 2009 is 14.3% ( 14.3 % ) ; the operating margin of 2008 is 13.7% ( 13.7 % ) ;"]]}, "answers": ["1.9%"]}, "rejected_source": {"id": "AON/2014/page_45.pdf-1", "qa": {"question": "what is the growth rate of revenue from 2013 to 2014?", "answer": "0.6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7834", "arg2": "7789", "res": "45"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7789", "res": "0.6%"}], "program": "subtract(7834, 7789), divide(#0, 7789)", "gold_inds": {"table_1": "years ended december 31 ( millions except percentage data ) the revenue of 2014 is $ 7834 ; the revenue of 2013 is $ 7789 ; the revenue of 2012 is $ 7632 ;"}, "exe_ans": 0.00578, "tfidftopn": {"text_0": "equity equity at december 31 , 2014 was $ 6.6 billion , a decrease of $ 1.6 billion from december 31 , 2013 .", "text_8": "the economic activity that impacts property and casualty insurance is described as exposure units , and is most closely correlated with employment levels , corporate revenue and asset values ."}, "program_re": "divide(subtract(7834, 7789), 7789)", "model_input": [["table_1", "years ended december 31 ( millions except percentage data ) the revenue of 2014 is $ 7834 ; the revenue of 2013 is $ 7789 ; the revenue of 2012 is $ 7632 ;"], ["table_2", "years ended december 31 ( millions except percentage data ) the operating income of 2014 is 1648 ; the operating income of 2013 is 1540 ; the operating income of 2012 is 1493 ;"], ["text_14", "revenues are generated primarily through fees paid by clients , commissions and fees paid by insurance and reinsurance companies , and investment income on funds held on behalf of clients ."]]}, "answers": ["0.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000731", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , 2008 is related to non-tower cash flow?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-2.0%.", "rejected": "-3.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , <TIME> is related to non-tower cash flow?", "doc_prefix": "AMT", "base_question": "what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , <TIME> is related to non-tower cash flow?", "original_question": "what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , 2008 is related to non-tower cash flow?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.7%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}, {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "-2.0%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "AMT/2008/page_60.pdf-2", "qa": {"question": "what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , 2008 is related to non-tower cash flow?", "answer": "-2.0%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-14611", "arg2": "739187", "res": "-2.0%"}], "program": "divide(-14611, 739187)", "gold_inds": {"table_4": "tower cash flow for the three months ended december 31 2008 the adjusted consolidated cash flow for the twelve months ended december 31 2008 of $ 188449 is 739187 ;", "table_5": "tower cash flow for the three months ended december 31 2008 the non-tower cash flow for the twelve months ended december 31 2008 of $ 188449 is $ -14611 ( 14611 ) ;"}, "exe_ans": -0.01977, "tfidftopn": {"table_1": "tower cash flow for the three months ended december 31 2008 The consolidated cash flow for the twelve months ended december 31 2008 of $ 188449 is 726954 ;"}, "program_re": "divide(-14611, 739187)", "model_input": [["table_1", "tower cash flow for the three months ended december 31 2008 the consolidated cash flow for the twelve months ended december 31 2008 of $ 188449 is 726954 ;"], ["table_4", "tower cash flow for the three months ended december 31 2008 the adjusted consolidated cash flow for the twelve months ended december 31 2008 of $ 188449 is 739187 ;"], ["table_5", "tower cash flow for the three months ended december 31 2008 the non-tower cash flow for the twelve months ended december 31 2008 of $ 188449 is $ -14611 ( 14611 ) ;"]]}, "answers": ["-2.0%"]}, "rejected_source": {"id": "AMT/2006/page_61.pdf-2", "qa": {"question": "what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , 2006 is related to non-tower cash flow?", "answer": "-3.7%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-22614", "arg2": "607928", "res": "-3.7%"}], "program": "divide(-22614, 607928)", "gold_inds": {"table_4": "tower cash flow for the three months ended december 31 2006 the adjusted consolidated cash flow for the twelve months ended december 31 2006 of $ 157311 is $ 607928 ;", "table_5": "tower cash flow for the three months ended december 31 2006 the non-tower cash flow for the twelve months ended december 31 2006 of $ 157311 is $ -22614 ( 22614 ) ;"}, "exe_ans": -0.0372, "tfidftopn": {"table_1": "tower cash flow for the three months ended december 31 2006 The consolidated cash flow for the twelve months ended december 31 2006 of $ 157311 is $ 591 050 ;"}, "program_re": "divide(-22614, 607928)", "model_input": [["table_1", "tower cash flow for the three months ended december 31 2006 the consolidated cash flow for the twelve months ended december 31 2006 of $ 157311 is $ 591 050 ;"], ["table_4", "tower cash flow for the three months ended december 31 2006 the adjusted consolidated cash flow for the twelve months ended december 31 2006 of $ 157311 is $ 607928 ;"], ["table_5", "tower cash flow for the three months ended december 31 2006 the non-tower cash flow for the twelve months ended december 31 2006 of $ 157311 is $ -22614 ( 22614 ) ;"]]}, "answers": ["-3.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000732", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , 2006 is related to non-tower cash flow?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "-3.7%.", "rejected": "-2.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , <TIME> is related to non-tower cash flow?", "doc_prefix": "AMT", "base_question": "what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , <TIME> is related to non-tower cash flow?", "original_question": "what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , 2006 is related to non-tower cash flow?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.7%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}, {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "-2.0%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "AMT/2006/page_61.pdf-2", "qa": {"question": "what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , 2006 is related to non-tower cash flow?", "answer": "-3.7%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-22614", "arg2": "607928", "res": "-3.7%"}], "program": "divide(-22614, 607928)", "gold_inds": {"table_4": "tower cash flow for the three months ended december 31 2006 the adjusted consolidated cash flow for the twelve months ended december 31 2006 of $ 157311 is $ 607928 ;", "table_5": "tower cash flow for the three months ended december 31 2006 the non-tower cash flow for the twelve months ended december 31 2006 of $ 157311 is $ -22614 ( 22614 ) ;"}, "exe_ans": -0.0372, "tfidftopn": {"table_1": "tower cash flow for the three months ended december 31 2006 The consolidated cash flow for the twelve months ended december 31 2006 of $ 157311 is $ 591 050 ;"}, "program_re": "divide(-22614, 607928)", "model_input": [["table_1", "tower cash flow for the three months ended december 31 2006 the consolidated cash flow for the twelve months ended december 31 2006 of $ 157311 is $ 591 050 ;"], ["table_4", "tower cash flow for the three months ended december 31 2006 the adjusted consolidated cash flow for the twelve months ended december 31 2006 of $ 157311 is $ 607928 ;"], ["table_5", "tower cash flow for the three months ended december 31 2006 the non-tower cash flow for the twelve months ended december 31 2006 of $ 157311 is $ -22614 ( 22614 ) ;"]]}, "answers": ["-3.7%"]}, "rejected_source": {"id": "AMT/2008/page_60.pdf-2", "qa": {"question": "what portion of the adjusted consolidated cash flow for the twelve months ended december 31 , 2008 is related to non-tower cash flow?", "answer": "-2.0%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "-14611", "arg2": "739187", "res": "-2.0%"}], "program": "divide(-14611, 739187)", "gold_inds": {"table_4": "tower cash flow for the three months ended december 31 2008 the adjusted consolidated cash flow for the twelve months ended december 31 2008 of $ 188449 is 739187 ;", "table_5": "tower cash flow for the three months ended december 31 2008 the non-tower cash flow for the twelve months ended december 31 2008 of $ 188449 is $ -14611 ( 14611 ) ;"}, "exe_ans": -0.01977, "tfidftopn": {"table_1": "tower cash flow for the three months ended december 31 2008 The consolidated cash flow for the twelve months ended december 31 2008 of $ 188449 is 726954 ;"}, "program_re": "divide(-14611, 739187)", "model_input": [["table_1", "tower cash flow for the three months ended december 31 2008 the consolidated cash flow for the twelve months ended december 31 2008 of $ 188449 is 726954 ;"], ["table_4", "tower cash flow for the three months ended december 31 2008 the adjusted consolidated cash flow for the twelve months ended december 31 2008 of $ 188449 is 739187 ;"], ["table_5", "tower cash flow for the three months ended december 31 2008 the non-tower cash flow for the twelve months ended december 31 2008 of $ 188449 is $ -14611 ( 14611 ) ;"]]}, "answers": ["-2.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000733", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , 2005?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "4%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , <TIME>?", "doc_prefix": "AMT", "base_question": "what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , <TIME>?", "original_question": "what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , 2005?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "4%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}]}, "chosen_source": {"id": "AMT/2006/page_96.pdf-1", "qa": {"question": "what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , 2005?", "answer": "4%", "explanation": "", "ann_table_rows": [8, 9], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "162153", "arg2": "3613429", "res": "4%"}], "program": "divide(162153, 3613429)", "gold_inds": {"table_8": "the total of 2006 is 3543016 ; the total of 2005 is 3613429 ;", "table_9": "the less current portion of other long-term obligations of 2006 is -253907 ( 253907 ) ; the less current portion of other long-term obligations of 2005 is -162153 ( 162153 ) ;"}, "exe_ans": 0.04488, "tfidftopn": {"text_1": "financing arrangements outstanding amounts under the company 2019s long-term financing arrangements consisted of the following as of december 31 , ( in thousands ) : ."}, "program_re": "divide(162153, 3613429)", "model_input": [["table_8", "the total of 2006 is 3543016 ; the total of 2005 is 3613429 ;"], ["table_9", "the less current portion of other long-term obligations of 2006 is -253907 ( 253907 ) ; the less current portion of other long-term obligations of 2005 is -162153 ( 162153 ) ;"], ["table_10", "the long-term obligations of 2006 is $ 3289109 ; the long-term obligations of 2005 is $ 3451276 ;"]]}, "answers": ["4%"]}, "rejected_source": {"id": "AMT/2006/page_96.pdf-2", "qa": {"question": "what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , 2006?", "answer": "7%", "explanation": "", "ann_table_rows": [8, 9], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "253907", "arg2": "3543016", "res": "7%"}], "program": "divide(253907, 3543016)", "gold_inds": {"table_8": "the total of 2006 is 3543016 ; the total of 2005 is 3613429 ;", "table_9": "the less current portion of other long-term obligations of 2006 is -253907 ( 253907 ) ; the less current portion of other long-term obligations of 2005 is -162153 ( 162153 ) ;"}, "exe_ans": 0.07166, "tfidftopn": {"text_1": "financing arrangements outstanding amounts under the company 2019s long-term financing arrangements consisted of the following as of december 31 , ( in thousands ) : ."}, "program_re": "divide(253907, 3543016)", "model_input": [["table_8", "the total of 2006 is 3543016 ; the total of 2005 is 3613429 ;"], ["table_9", "the less current portion of other long-term obligations of 2006 is -253907 ( 253907 ) ; the less current portion of other long-term obligations of 2005 is -162153 ( 162153 ) ;"], ["table_10", "the long-term obligations of 2006 is $ 3289109 ; the long-term obligations of 2005 is $ 3451276 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000734", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , 2006?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "7%.", "rejected": "4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , <TIME>?", "doc_prefix": "AMT", "base_question": "what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , <TIME>?", "original_question": "what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , 2006?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "4%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}]}, "chosen_source": {"id": "AMT/2006/page_96.pdf-2", "qa": {"question": "what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , 2006?", "answer": "7%", "explanation": "", "ann_table_rows": [8, 9], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "253907", "arg2": "3543016", "res": "7%"}], "program": "divide(253907, 3543016)", "gold_inds": {"table_8": "the total of 2006 is 3543016 ; the total of 2005 is 3613429 ;", "table_9": "the less current portion of other long-term obligations of 2006 is -253907 ( 253907 ) ; the less current portion of other long-term obligations of 2005 is -162153 ( 162153 ) ;"}, "exe_ans": 0.07166, "tfidftopn": {"text_1": "financing arrangements outstanding amounts under the company 2019s long-term financing arrangements consisted of the following as of december 31 , ( in thousands ) : ."}, "program_re": "divide(253907, 3543016)", "model_input": [["table_8", "the total of 2006 is 3543016 ; the total of 2005 is 3613429 ;"], ["table_9", "the less current portion of other long-term obligations of 2006 is -253907 ( 253907 ) ; the less current portion of other long-term obligations of 2005 is -162153 ( 162153 ) ;"], ["table_10", "the long-term obligations of 2006 is $ 3289109 ; the long-term obligations of 2005 is $ 3451276 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "AMT/2006/page_96.pdf-1", "qa": {"question": "what percentage of outstanding amounts under the company 2019s long-term financing arrangements is current as of december 31 , 2005?", "answer": "4%", "explanation": "", "ann_table_rows": [8, 9], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "162153", "arg2": "3613429", "res": "4%"}], "program": "divide(162153, 3613429)", "gold_inds": {"table_8": "the total of 2006 is 3543016 ; the total of 2005 is 3613429 ;", "table_9": "the less current portion of other long-term obligations of 2006 is -253907 ( 253907 ) ; the less current portion of other long-term obligations of 2005 is -162153 ( 162153 ) ;"}, "exe_ans": 0.04488, "tfidftopn": {"text_1": "financing arrangements outstanding amounts under the company 2019s long-term financing arrangements consisted of the following as of december 31 , ( in thousands ) : ."}, "program_re": "divide(162153, 3613429)", "model_input": [["table_8", "the total of 2006 is 3543016 ; the total of 2005 is 3613429 ;"], ["table_9", "the less current portion of other long-term obligations of 2006 is -253907 ( 253907 ) ; the less current portion of other long-term obligations of 2005 is -162153 ( 162153 ) ;"], ["table_10", "the long-term obligations of 2006 is $ 3289109 ; the long-term obligations of 2005 is $ 3451276 ;"]]}, "answers": ["4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000735", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of the 2018 derivative receivable ratings were ratings equivalent to junk bonds?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "18.", "rejected": "20.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percentage of the <TIME> derivative receivable ratings were ratings equivalent to junk bonds?", "doc_prefix": "JPM", "base_question": "what percentage of the <TIME> derivative receivable ratings were ratings equivalent to junk bonds?", "original_question": "what percentage of the 2018 derivative receivable ratings were ratings equivalent to junk bonds?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "18": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "JPM/2018/page_150.pdf-1", "qa": {"question": "what percentage of the 2018 derivative receivable ratings were ratings equivalent to junk bonds?", "answer": "18", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "16", "arg2": "2", "res": "18"}], "program": "add(16, 2)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6373 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7397 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 18 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 723 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 645 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"}, "exe_ans": 18.0, "tfidftopn": {"text_15": "ratings profile of derivative receivables ."}, "program_re": "add(16, 2)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6373 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7397 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 18 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 723 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 645 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 38891 ; the total of rating equivalent % ( % ) of exposure netof all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 40415 ; the total of % ( % ) of exposure netof all collateral is 100% ( 100 % ) ;"]]}, "answers": ["18"]}, "rejected_source": {"id": "JPM/2018/page_150.pdf-3", "qa": {"question": "what percentage of the 2017 derivative receivable ratings were ratings equivalent to junk bonds?", "answer": "20", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "18", "arg2": "2", "res": "20"}], "program": "add(18, 2)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6373 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7397 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 18 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 723 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 645 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"}, "exe_ans": 20.0, "tfidftopn": {"text_15": "ratings profile of derivative receivables ."}, "program_re": "add(18, 2)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6373 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7397 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 18 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 723 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 645 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 38891 ; the total of rating equivalent % ( % ) of exposure netof all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 40415 ; the total of % ( % ) of exposure netof all collateral is 100% ( 100 % ) ;"]]}, "answers": ["20"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000736", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of the 2017 derivative receivable ratings were ratings equivalent to junk bonds?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "20.", "rejected": "18.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percentage of the <TIME> derivative receivable ratings were ratings equivalent to junk bonds?", "doc_prefix": "JPM", "base_question": "what percentage of the <TIME> derivative receivable ratings were ratings equivalent to junk bonds?", "original_question": "what percentage of the 2017 derivative receivable ratings were ratings equivalent to junk bonds?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "18": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "JPM/2018/page_150.pdf-3", "qa": {"question": "what percentage of the 2017 derivative receivable ratings were ratings equivalent to junk bonds?", "answer": "20", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "18", "arg2": "2", "res": "20"}], "program": "add(18, 2)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6373 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7397 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 18 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 723 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 645 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"}, "exe_ans": 20.0, "tfidftopn": {"text_15": "ratings profile of derivative receivables ."}, "program_re": "add(18, 2)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6373 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7397 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 18 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 723 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 645 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 38891 ; the total of rating equivalent % ( % ) of exposure netof all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 40415 ; the total of % ( % ) of exposure netof all collateral is 100% ( 100 % ) ;"]]}, "answers": ["20"]}, "rejected_source": {"id": "JPM/2018/page_150.pdf-1", "qa": {"question": "what percentage of the 2018 derivative receivable ratings were ratings equivalent to junk bonds?", "answer": "18", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "16", "arg2": "2", "res": "18"}], "program": "add(16, 2)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6373 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7397 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 18 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 723 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 645 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"}, "exe_ans": 18.0, "tfidftopn": {"text_15": "ratings profile of derivative receivables ."}, "program_re": "add(16, 2)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6373 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7397 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 18 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 723 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 645 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 38891 ; the total of rating equivalent % ( % ) of exposure netof all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 40415 ; the total of % ( % ) of exposure netof all collateral is 100% ( 100 % ) ;"]]}, "answers": ["18"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000737", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of deferred sales in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-25.", "rejected": "21.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HIG || what is the net change in the balance of deferred sales <TIME>?", "doc_prefix": "HIG", "base_question": "what is the net change in the balance of deferred sales <TIME>?", "original_question": "what is the net change in the balance of deferred sales in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"21": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "-25": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "HIG/2011/page_195.pdf-3", "qa": {"question": "what is the net change in the balance of deferred sales in 2011?", "answer": "-25", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "434", "arg2": "459", "res": "-25"}], "program": "subtract(434, 459)", "gold_inds": {"table_1": "the balance beginning of year of 2011 is $ 459 ; the balance beginning of year of 2010 is $ 438 ; the balance beginning of year of 2009 is $ 553 ;", "table_5": "the balance end of year of 2011 is $ 434 ; the balance end of year of 2010 is $ 459 ; the balance end of year of 2009 is $ 438 ;"}, "exe_ans": -25.0, "tfidftopn": {"table_2": "The sales inducements deferred of 2011 is 20 ; The sales inducements deferred of 2010 is 31 ; The sales inducements deferred of 2009 is 59 ;"}, "program_re": "subtract(434, 459)", "model_input": [["table_1", "the balance beginning of year of 2011 is $ 459 ; the balance beginning of year of 2010 is $ 438 ; the balance beginning of year of 2009 is $ 553 ;"], ["table_2", "the sales inducements deferred of 2011 is 20 ; the sales inducements deferred of 2010 is 31 ; the sales inducements deferred of 2009 is 59 ;"], ["table_5", "the balance end of year of 2011 is $ 434 ; the balance end of year of 2010 is $ 459 ; the balance end of year of 2009 is $ 438 ;"]]}, "answers": ["-25"]}, "rejected_source": {"id": "HIG/2011/page_195.pdf-2", "qa": {"question": "what is the net change in the balance of deferred sales in 2010?", "answer": "21", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "459", "arg2": "438", "res": "21"}], "program": "subtract(459, 438)", "gold_inds": {"table_1": "the balance beginning of year of 2011 is $ 459 ; the balance beginning of year of 2010 is $ 438 ; the balance beginning of year of 2009 is $ 553 ;", "table_5": "the balance end of year of 2011 is $ 434 ; the balance end of year of 2010 is $ 459 ; the balance end of year of 2009 is $ 438 ;"}, "exe_ans": 21.0, "tfidftopn": {"table_2": "The sales inducements deferred of 2011 is 20 ; The sales inducements deferred of 2010 is 31 ; The sales inducements deferred of 2009 is 59 ;"}, "program_re": "subtract(459, 438)", "model_input": [["table_1", "the balance beginning of year of 2011 is $ 459 ; the balance beginning of year of 2010 is $ 438 ; the balance beginning of year of 2009 is $ 553 ;"], ["table_2", "the sales inducements deferred of 2011 is 20 ; the sales inducements deferred of 2010 is 31 ; the sales inducements deferred of 2009 is 59 ;"], ["table_5", "the balance end of year of 2011 is $ 434 ; the balance end of year of 2010 is $ 459 ; the balance end of year of 2009 is $ 438 ;"]]}, "answers": ["21"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000738", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of deferred sales in 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "21.", "rejected": "-25.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HIG || what is the net change in the balance of deferred sales <TIME>?", "doc_prefix": "HIG", "base_question": "what is the net change in the balance of deferred sales <TIME>?", "original_question": "what is the net change in the balance of deferred sales in 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"21": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "-25": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "HIG/2011/page_195.pdf-2", "qa": {"question": "what is the net change in the balance of deferred sales in 2010?", "answer": "21", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "459", "arg2": "438", "res": "21"}], "program": "subtract(459, 438)", "gold_inds": {"table_1": "the balance beginning of year of 2011 is $ 459 ; the balance beginning of year of 2010 is $ 438 ; the balance beginning of year of 2009 is $ 553 ;", "table_5": "the balance end of year of 2011 is $ 434 ; the balance end of year of 2010 is $ 459 ; the balance end of year of 2009 is $ 438 ;"}, "exe_ans": 21.0, "tfidftopn": {"table_2": "The sales inducements deferred of 2011 is 20 ; The sales inducements deferred of 2010 is 31 ; The sales inducements deferred of 2009 is 59 ;"}, "program_re": "subtract(459, 438)", "model_input": [["table_1", "the balance beginning of year of 2011 is $ 459 ; the balance beginning of year of 2010 is $ 438 ; the balance beginning of year of 2009 is $ 553 ;"], ["table_2", "the sales inducements deferred of 2011 is 20 ; the sales inducements deferred of 2010 is 31 ; the sales inducements deferred of 2009 is 59 ;"], ["table_5", "the balance end of year of 2011 is $ 434 ; the balance end of year of 2010 is $ 459 ; the balance end of year of 2009 is $ 438 ;"]]}, "answers": ["21"]}, "rejected_source": {"id": "HIG/2011/page_195.pdf-3", "qa": {"question": "what is the net change in the balance of deferred sales in 2011?", "answer": "-25", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "434", "arg2": "459", "res": "-25"}], "program": "subtract(434, 459)", "gold_inds": {"table_1": "the balance beginning of year of 2011 is $ 459 ; the balance beginning of year of 2010 is $ 438 ; the balance beginning of year of 2009 is $ 553 ;", "table_5": "the balance end of year of 2011 is $ 434 ; the balance end of year of 2010 is $ 459 ; the balance end of year of 2009 is $ 438 ;"}, "exe_ans": -25.0, "tfidftopn": {"table_2": "The sales inducements deferred of 2011 is 20 ; The sales inducements deferred of 2010 is 31 ; The sales inducements deferred of 2009 is 59 ;"}, "program_re": "subtract(434, 459)", "model_input": [["table_1", "the balance beginning of year of 2011 is $ 459 ; the balance beginning of year of 2010 is $ 438 ; the balance beginning of year of 2009 is $ 553 ;"], ["table_2", "the sales inducements deferred of 2011 is 20 ; the sales inducements deferred of 2010 is 31 ; the sales inducements deferred of 2009 is 59 ;"], ["table_5", "the balance end of year of 2011 is $ 434 ; the balance end of year of 2010 is $ 459 ; the balance end of year of 2009 is $ 438 ;"]]}, "answers": ["-25"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000739", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions between 2015 and 2016 of foreign currency transaction gains ( losses ) for aes corporation?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-19.", "rejected": "3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the change in millions <TIME> of foreign currency transaction gains ( losses ) for aes corporation?", "doc_prefix": "AES", "base_question": "what was the change in millions <TIME> of foreign currency transaction gains ( losses ) for aes corporation?", "original_question": "what was the change in millions between 2015 and 2016 of foreign currency transaction gains ( losses ) for aes corporation?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}], "-19": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016"}]}, "chosen_source": {"id": "AES/2016/page_98.pdf-2", "qa": {"question": "what was the change in millions between 2015 and 2016 of foreign currency transaction gains ( losses ) for aes corporation?", "answer": "-19", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-50", "arg2": "-31", "res": "-19"}], "program": "subtract(-50, -31)", "gold_inds": {"table_1": "years ended december 31 , the aes corporation of 2016 is $ -50 ( 50 ) ; the aes corporation of 2015 is $ -31 ( 31 ) ; the aes corporation of 2014 is $ -34 ( 34 ) ;"}, "exe_ans": -19.0, "tfidftopn": {"text_20": "foreign currency transaction gains ( losses ) foreign currency transaction gains ( losses ) in millions were as follows: .", "text_22": "the company recognized a net foreign currency transaction loss of $ 15 million for the year ended december 31 , 2016 primarily due to losses of $ 50 million at the aes corporation mainly due to remeasurement losses on intercompany notes , and losses on swaps and options ."}, "program_re": "subtract(-50, -31)", "model_input": [["table_1", "years ended december 31 , the aes corporation of 2016 is $ -50 ( 50 ) ; the aes corporation of 2015 is $ -31 ( 31 ) ; the aes corporation of 2014 is $ -34 ( 34 ) ;"], ["table_9", "years ended december 31, the total ( 1 ) of 2016 is $ -15 ( 15 ) ; the total ( 1 ) of 2015 is $ 107 ; the total ( 1 ) of 2014 is $ 11 ;"], ["text_21", "total ( 1 ) $ ( 15 ) $ 107 $ 11 _____________________________ ( 1 ) includes gains of $ 17 million , $ 247 million and $ 172 million on foreign currency derivative contracts for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["-19"]}, "rejected_source": {"id": "AES/2016/page_98.pdf-1", "qa": {"question": "what was the change in millions between 2014 and 2015 of foreign currency transaction gains ( losses ) for aes corporation?", "answer": "3", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-31", "arg2": "-34", "res": "3"}], "program": "subtract(-31, -34)", "gold_inds": {"table_1": "years ended december 31 , the aes corporation of 2016 is $ -50 ( 50 ) ; the aes corporation of 2015 is $ -31 ( 31 ) ; the aes corporation of 2014 is $ -34 ( 34 ) ;"}, "exe_ans": 3.0, "tfidftopn": {"text_20": "foreign currency transaction gains ( losses ) foreign currency transaction gains ( losses ) in millions were as follows: .", "text_22": "the company recognized a net foreign currency transaction loss of $ 15 million for the year ended december 31 , 2016 primarily due to losses of $ 50 million at the aes corporation mainly due to remeasurement losses on intercompany notes , and losses on swaps and options ."}, "program_re": "subtract(-31, -34)", "model_input": [["table_1", "years ended december 31 , the aes corporation of 2016 is $ -50 ( 50 ) ; the aes corporation of 2015 is $ -31 ( 31 ) ; the aes corporation of 2014 is $ -34 ( 34 ) ;"], ["table_9", "years ended december 31, the total ( 1 ) of 2016 is $ -15 ( 15 ) ; the total ( 1 ) of 2015 is $ 107 ; the total ( 1 ) of 2014 is $ 11 ;"], ["text_21", "total ( 1 ) $ ( 15 ) $ 107 $ 11 _____________________________ ( 1 ) includes gains of $ 17 million , $ 247 million and $ 172 million on foreign currency derivative contracts for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000740", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions between 2014 and 2015 of foreign currency transaction gains ( losses ) for aes corporation?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "3.", "rejected": "-19.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the change in millions <TIME> of foreign currency transaction gains ( losses ) for aes corporation?", "doc_prefix": "AES", "base_question": "what was the change in millions <TIME> of foreign currency transaction gains ( losses ) for aes corporation?", "original_question": "what was the change in millions between 2014 and 2015 of foreign currency transaction gains ( losses ) for aes corporation?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}], "-19": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016"}]}, "chosen_source": {"id": "AES/2016/page_98.pdf-1", "qa": {"question": "what was the change in millions between 2014 and 2015 of foreign currency transaction gains ( losses ) for aes corporation?", "answer": "3", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-31", "arg2": "-34", "res": "3"}], "program": "subtract(-31, -34)", "gold_inds": {"table_1": "years ended december 31 , the aes corporation of 2016 is $ -50 ( 50 ) ; the aes corporation of 2015 is $ -31 ( 31 ) ; the aes corporation of 2014 is $ -34 ( 34 ) ;"}, "exe_ans": 3.0, "tfidftopn": {"text_20": "foreign currency transaction gains ( losses ) foreign currency transaction gains ( losses ) in millions were as follows: .", "text_22": "the company recognized a net foreign currency transaction loss of $ 15 million for the year ended december 31 , 2016 primarily due to losses of $ 50 million at the aes corporation mainly due to remeasurement losses on intercompany notes , and losses on swaps and options ."}, "program_re": "subtract(-31, -34)", "model_input": [["table_1", "years ended december 31 , the aes corporation of 2016 is $ -50 ( 50 ) ; the aes corporation of 2015 is $ -31 ( 31 ) ; the aes corporation of 2014 is $ -34 ( 34 ) ;"], ["table_9", "years ended december 31, the total ( 1 ) of 2016 is $ -15 ( 15 ) ; the total ( 1 ) of 2015 is $ 107 ; the total ( 1 ) of 2014 is $ 11 ;"], ["text_21", "total ( 1 ) $ ( 15 ) $ 107 $ 11 _____________________________ ( 1 ) includes gains of $ 17 million , $ 247 million and $ 172 million on foreign currency derivative contracts for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["3"]}, "rejected_source": {"id": "AES/2016/page_98.pdf-2", "qa": {"question": "what was the change in millions between 2015 and 2016 of foreign currency transaction gains ( losses ) for aes corporation?", "answer": "-19", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-50", "arg2": "-31", "res": "-19"}], "program": "subtract(-50, -31)", "gold_inds": {"table_1": "years ended december 31 , the aes corporation of 2016 is $ -50 ( 50 ) ; the aes corporation of 2015 is $ -31 ( 31 ) ; the aes corporation of 2014 is $ -34 ( 34 ) ;"}, "exe_ans": -19.0, "tfidftopn": {"text_20": "foreign currency transaction gains ( losses ) foreign currency transaction gains ( losses ) in millions were as follows: .", "text_22": "the company recognized a net foreign currency transaction loss of $ 15 million for the year ended december 31 , 2016 primarily due to losses of $ 50 million at the aes corporation mainly due to remeasurement losses on intercompany notes , and losses on swaps and options ."}, "program_re": "subtract(-50, -31)", "model_input": [["table_1", "years ended december 31 , the aes corporation of 2016 is $ -50 ( 50 ) ; the aes corporation of 2015 is $ -31 ( 31 ) ; the aes corporation of 2014 is $ -34 ( 34 ) ;"], ["table_9", "years ended december 31, the total ( 1 ) of 2016 is $ -15 ( 15 ) ; the total ( 1 ) of 2015 is $ 107 ; the total ( 1 ) of 2014 is $ 11 ;"], ["text_21", "total ( 1 ) $ ( 15 ) $ 107 $ 11 _____________________________ ( 1 ) includes gains of $ 17 million , $ 247 million and $ 172 million on foreign currency derivative contracts for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["-19"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000741", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total revenues was represented by merchant services in 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "87%.", "rejected": "88%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what percent of total revenues was represented by merchant services <TIME>?", "doc_prefix": "GPN", "base_question": "what percent of total revenues was represented by merchant services <TIME>?", "original_question": "what percent of total revenues was represented by merchant services in 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"87%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "88%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "GPN/2007/page_18.pdf-1", "qa": {"question": "what percent of total revenues was represented by merchant services in 2006?", "answer": "87%", "explanation": "", "ann_table_rows": [6, 10], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "788500", "arg2": "908056", "res": "87%"}], "program": "divide(788500, 908056)", "gold_inds": {"table_6": "the merchant services of 2007 is 929142 ; the merchant services of 2006 is 788500 ; the merchant services of 2005 is 687868 ;", "table_10": "the total revenues of 2007 is $ 1061523 ; the total revenues of 2006 is $ 908056 ; the total revenues of 2005 is $ 784331 ;"}, "exe_ans": 0.86834, "tfidftopn": {"text_19": "total revenues from our merchant services and money transfer segments , by geography and sales channel , are as follows ( amounts in thousands ) : ."}, "program_re": "divide(788500, 908056)", "model_input": [["text_19", "total revenues from our merchant services and money transfer segments , by geography and sales channel , are as follows ( amounts in thousands ) : ."], ["table_6", "the merchant services of 2007 is 929142 ; the merchant services of 2006 is 788500 ; the merchant services of 2005 is 687868 ;"], ["table_10", "the total revenues of 2007 is $ 1061523 ; the total revenues of 2006 is $ 908056 ; the total revenues of 2005 is $ 784331 ;"]]}, "answers": ["87%"]}, "rejected_source": {"id": "GPN/2007/page_18.pdf-2", "qa": {"question": "what percent of total revenues was represented by merchant services in 2007?", "answer": "88%", "explanation": "", "ann_table_rows": [6, 10], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "929142", "arg2": "1061523", "res": "88%"}], "program": "divide(929142, 1061523)", "gold_inds": {"table_6": "the merchant services of 2007 is 929142 ; the merchant services of 2006 is 788500 ; the merchant services of 2005 is 687868 ;", "table_10": "the total revenues of 2007 is $ 1061523 ; the total revenues of 2006 is $ 908056 ; the total revenues of 2005 is $ 784331 ;"}, "exe_ans": 0.87529, "tfidftopn": {"text_19": "total revenues from our merchant services and money transfer segments , by geography and sales channel , are as follows ( amounts in thousands ) : ."}, "program_re": "divide(929142, 1061523)", "model_input": [["text_19", "total revenues from our merchant services and money transfer segments , by geography and sales channel , are as follows ( amounts in thousands ) : ."], ["table_6", "the merchant services of 2007 is 929142 ; the merchant services of 2006 is 788500 ; the merchant services of 2005 is 687868 ;"], ["table_10", "the total revenues of 2007 is $ 1061523 ; the total revenues of 2006 is $ 908056 ; the total revenues of 2005 is $ 784331 ;"]]}, "answers": ["88%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000742", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total revenues was represented by merchant services in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "88%.", "rejected": "87%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what percent of total revenues was represented by merchant services <TIME>?", "doc_prefix": "GPN", "base_question": "what percent of total revenues was represented by merchant services <TIME>?", "original_question": "what percent of total revenues was represented by merchant services in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"87%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "88%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "GPN/2007/page_18.pdf-2", "qa": {"question": "what percent of total revenues was represented by merchant services in 2007?", "answer": "88%", "explanation": "", "ann_table_rows": [6, 10], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "929142", "arg2": "1061523", "res": "88%"}], "program": "divide(929142, 1061523)", "gold_inds": {"table_6": "the merchant services of 2007 is 929142 ; the merchant services of 2006 is 788500 ; the merchant services of 2005 is 687868 ;", "table_10": "the total revenues of 2007 is $ 1061523 ; the total revenues of 2006 is $ 908056 ; the total revenues of 2005 is $ 784331 ;"}, "exe_ans": 0.87529, "tfidftopn": {"text_19": "total revenues from our merchant services and money transfer segments , by geography and sales channel , are as follows ( amounts in thousands ) : ."}, "program_re": "divide(929142, 1061523)", "model_input": [["text_19", "total revenues from our merchant services and money transfer segments , by geography and sales channel , are as follows ( amounts in thousands ) : ."], ["table_6", "the merchant services of 2007 is 929142 ; the merchant services of 2006 is 788500 ; the merchant services of 2005 is 687868 ;"], ["table_10", "the total revenues of 2007 is $ 1061523 ; the total revenues of 2006 is $ 908056 ; the total revenues of 2005 is $ 784331 ;"]]}, "answers": ["88%"]}, "rejected_source": {"id": "GPN/2007/page_18.pdf-1", "qa": {"question": "what percent of total revenues was represented by merchant services in 2006?", "answer": "87%", "explanation": "", "ann_table_rows": [6, 10], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "788500", "arg2": "908056", "res": "87%"}], "program": "divide(788500, 908056)", "gold_inds": {"table_6": "the merchant services of 2007 is 929142 ; the merchant services of 2006 is 788500 ; the merchant services of 2005 is 687868 ;", "table_10": "the total revenues of 2007 is $ 1061523 ; the total revenues of 2006 is $ 908056 ; the total revenues of 2005 is $ 784331 ;"}, "exe_ans": 0.86834, "tfidftopn": {"text_19": "total revenues from our merchant services and money transfer segments , by geography and sales channel , are as follows ( amounts in thousands ) : ."}, "program_re": "divide(788500, 908056)", "model_input": [["text_19", "total revenues from our merchant services and money transfer segments , by geography and sales channel , are as follows ( amounts in thousands ) : ."], ["table_6", "the merchant services of 2007 is 929142 ; the merchant services of 2006 is 788500 ; the merchant services of 2005 is 687868 ;"], ["table_10", "the total revenues of 2007 is $ 1061523 ; the total revenues of 2006 is $ 908056 ; the total revenues of 2005 is $ 784331 ;"]]}, "answers": ["87%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000743", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the ratio of operating cash flow to total debt in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "3.57.", "rejected": "6.77.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DVN || what is the ratio of operating cash flow to total debt <TIME>?", "doc_prefix": "DVN", "base_question": "what is the ratio of operating cash flow to total debt <TIME>?", "original_question": "what is the ratio of operating cash flow to total debt in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6.77": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "3.57": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "DVN/2017/page_31.pdf-1", "qa": {"question": "what is the ratio of operating cash flow to total debt in 2017?", "answer": "3.57", "explanation": "this is how many years it would take to repay the debt at existing cash flow with no new debt .", "ann_table_rows": [7, 11], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "10406", "arg2": "2909", "res": "3.57"}], "program": "divide(10406, 2909)", "gold_inds": {"table_7": "net earnings ( loss ) attributable to devon the operating cash flow of 2017 $ 898 is $ 2909 ; the operating cash flow of change +185% ( +185 % ) is +94% ( +94 % ) ; the operating cash flow of 2016* $ -1056 ( 1056 ) is $ 1500 ; the operating cash flow of change +92% ( +92 % ) is - 69% ( 69 % ) ; the operating cash flow of 2015* $ -12896 ( 12896 ) is $ 4898 ;", "table_11": "net earnings ( loss ) attributable to devon the total debt of 2017 $ 898 is $ 10406 ; the total debt of change +185% ( +185 % ) is +2% ( +2 % ) ; the total debt of 2016* $ -1056 ( 1056 ) is $ 10154 ; the total debt of change +92% ( +92 % ) is - 22% ( 22 % ) ; the total debt of 2015* $ -12896 ( 12896 ) is $ 13032 ;"}, "exe_ans": 3.57717, "tfidftopn": {"table_10": "net earnings ( loss ) attributable to devon The cash and cash equivalents of 2017 $ 898 is $ 2673 ; The cash and cash equivalents of change +185% ( +185 % ) is +36% ( +36 % ) ; The cash and cash equivalents of 2016* $ -1056 ( 1056 ) is $ 1959 ; The cash and cash equivalents of change +92% ( +92 % ) is - 15% ( 15 % ) ; The cash and cash equivalents of 2015* $ -12896 ( 12896 ) is $ 2310 ;"}, "program_re": "divide(10406, 2909)", "model_input": [["table_7", "net earnings ( loss ) attributable to devon the operating cash flow of 2017 $ 898 is $ 2909 ; the operating cash flow of change +185% ( +185 % ) is +94% ( +94 % ) ; the operating cash flow of 2016* $ -1056 ( 1056 ) is $ 1500 ; the operating cash flow of change +92% ( +92 % ) is - 69% ( 69 % ) ; the operating cash flow of 2015* $ -12896 ( 12896 ) is $ 4898 ;"], ["table_10", "net earnings ( loss ) attributable to devon the cash and cash equivalents of 2017 $ 898 is $ 2673 ; the cash and cash equivalents of change +185% ( +185 % ) is +36% ( +36 % ) ; the cash and cash equivalents of 2016* $ -1056 ( 1056 ) is $ 1959 ; the cash and cash equivalents of change +92% ( +92 % ) is - 15% ( 15 % ) ; the cash and cash equivalents of 2015* $ -12896 ( 12896 ) is $ 2310 ;"], ["table_11", "net earnings ( loss ) attributable to devon the total debt of 2017 $ 898 is $ 10406 ; the total debt of change +185% ( +185 % ) is +2% ( +2 % ) ; the total debt of 2016* $ -1056 ( 1056 ) is $ 10154 ; the total debt of change +92% ( +92 % ) is - 22% ( 22 % ) ; the total debt of 2015* $ -12896 ( 12896 ) is $ 13032 ;"]]}, "answers": ["3.57"]}, "rejected_source": {"id": "DVN/2017/page_31.pdf-2", "qa": {"question": "what is the ratio of operating cash flow to total debt in 2016?", "answer": "6.77", "explanation": "", "ann_table_rows": [7, 11], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "10154", "arg2": "1500", "res": "6.77"}], "program": "divide(10154, 1500)", "gold_inds": {"table_7": "net earnings ( loss ) attributable to devon the operating cash flow of 2017 $ 898 is $ 2909 ; the operating cash flow of change +185% ( +185 % ) is +94% ( +94 % ) ; the operating cash flow of 2016* $ -1056 ( 1056 ) is $ 1500 ; the operating cash flow of change +92% ( +92 % ) is - 69% ( 69 % ) ; the operating cash flow of 2015* $ -12896 ( 12896 ) is $ 4898 ;", "table_11": "net earnings ( loss ) attributable to devon the total debt of 2017 $ 898 is $ 10406 ; the total debt of change +185% ( +185 % ) is +2% ( +2 % ) ; the total debt of 2016* $ -1056 ( 1056 ) is $ 10154 ; the total debt of change +92% ( +92 % ) is - 22% ( 22 % ) ; the total debt of 2015* $ -12896 ( 12896 ) is $ 13032 ;"}, "exe_ans": 6.76933, "tfidftopn": {"table_10": "net earnings ( loss ) attributable to devon The cash and cash equivalents of 2017 $ 898 is $ 2673 ; The cash and cash equivalents of change +185% ( +185 % ) is +36% ( +36 % ) ; The cash and cash equivalents of 2016* $ -1056 ( 1056 ) is $ 1959 ; The cash and cash equivalents of change +92% ( +92 % ) is - 15% ( 15 % ) ; The cash and cash equivalents of 2015* $ -12896 ( 12896 ) is $ 2310 ;"}, "program_re": "divide(10154, 1500)", "model_input": [["table_7", "net earnings ( loss ) attributable to devon the operating cash flow of 2017 $ 898 is $ 2909 ; the operating cash flow of change +185% ( +185 % ) is +94% ( +94 % ) ; the operating cash flow of 2016* $ -1056 ( 1056 ) is $ 1500 ; the operating cash flow of change +92% ( +92 % ) is - 69% ( 69 % ) ; the operating cash flow of 2015* $ -12896 ( 12896 ) is $ 4898 ;"], ["table_10", "net earnings ( loss ) attributable to devon the cash and cash equivalents of 2017 $ 898 is $ 2673 ; the cash and cash equivalents of change +185% ( +185 % ) is +36% ( +36 % ) ; the cash and cash equivalents of 2016* $ -1056 ( 1056 ) is $ 1959 ; the cash and cash equivalents of change +92% ( +92 % ) is - 15% ( 15 % ) ; the cash and cash equivalents of 2015* $ -12896 ( 12896 ) is $ 2310 ;"], ["table_11", "net earnings ( loss ) attributable to devon the total debt of 2017 $ 898 is $ 10406 ; the total debt of change +185% ( +185 % ) is +2% ( +2 % ) ; the total debt of 2016* $ -1056 ( 1056 ) is $ 10154 ; the total debt of change +92% ( +92 % ) is - 22% ( 22 % ) ; the total debt of 2015* $ -12896 ( 12896 ) is $ 13032 ;"]]}, "answers": ["6.77"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000744", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the ratio of operating cash flow to total debt in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.77.", "rejected": "3.57.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DVN || what is the ratio of operating cash flow to total debt <TIME>?", "doc_prefix": "DVN", "base_question": "what is the ratio of operating cash flow to total debt <TIME>?", "original_question": "what is the ratio of operating cash flow to total debt in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6.77": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "3.57": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "DVN/2017/page_31.pdf-2", "qa": {"question": "what is the ratio of operating cash flow to total debt in 2016?", "answer": "6.77", "explanation": "", "ann_table_rows": [7, 11], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "10154", "arg2": "1500", "res": "6.77"}], "program": "divide(10154, 1500)", "gold_inds": {"table_7": "net earnings ( loss ) attributable to devon the operating cash flow of 2017 $ 898 is $ 2909 ; the operating cash flow of change +185% ( +185 % ) is +94% ( +94 % ) ; the operating cash flow of 2016* $ -1056 ( 1056 ) is $ 1500 ; the operating cash flow of change +92% ( +92 % ) is - 69% ( 69 % ) ; the operating cash flow of 2015* $ -12896 ( 12896 ) is $ 4898 ;", "table_11": "net earnings ( loss ) attributable to devon the total debt of 2017 $ 898 is $ 10406 ; the total debt of change +185% ( +185 % ) is +2% ( +2 % ) ; the total debt of 2016* $ -1056 ( 1056 ) is $ 10154 ; the total debt of change +92% ( +92 % ) is - 22% ( 22 % ) ; the total debt of 2015* $ -12896 ( 12896 ) is $ 13032 ;"}, "exe_ans": 6.76933, "tfidftopn": {"table_10": "net earnings ( loss ) attributable to devon The cash and cash equivalents of 2017 $ 898 is $ 2673 ; The cash and cash equivalents of change +185% ( +185 % ) is +36% ( +36 % ) ; The cash and cash equivalents of 2016* $ -1056 ( 1056 ) is $ 1959 ; The cash and cash equivalents of change +92% ( +92 % ) is - 15% ( 15 % ) ; The cash and cash equivalents of 2015* $ -12896 ( 12896 ) is $ 2310 ;"}, "program_re": "divide(10154, 1500)", "model_input": [["table_7", "net earnings ( loss ) attributable to devon the operating cash flow of 2017 $ 898 is $ 2909 ; the operating cash flow of change +185% ( +185 % ) is +94% ( +94 % ) ; the operating cash flow of 2016* $ -1056 ( 1056 ) is $ 1500 ; the operating cash flow of change +92% ( +92 % ) is - 69% ( 69 % ) ; the operating cash flow of 2015* $ -12896 ( 12896 ) is $ 4898 ;"], ["table_10", "net earnings ( loss ) attributable to devon the cash and cash equivalents of 2017 $ 898 is $ 2673 ; the cash and cash equivalents of change +185% ( +185 % ) is +36% ( +36 % ) ; the cash and cash equivalents of 2016* $ -1056 ( 1056 ) is $ 1959 ; the cash and cash equivalents of change +92% ( +92 % ) is - 15% ( 15 % ) ; the cash and cash equivalents of 2015* $ -12896 ( 12896 ) is $ 2310 ;"], ["table_11", "net earnings ( loss ) attributable to devon the total debt of 2017 $ 898 is $ 10406 ; the total debt of change +185% ( +185 % ) is +2% ( +2 % ) ; the total debt of 2016* $ -1056 ( 1056 ) is $ 10154 ; the total debt of change +92% ( +92 % ) is - 22% ( 22 % ) ; the total debt of 2015* $ -12896 ( 12896 ) is $ 13032 ;"]]}, "answers": ["6.77"]}, "rejected_source": {"id": "DVN/2017/page_31.pdf-1", "qa": {"question": "what is the ratio of operating cash flow to total debt in 2017?", "answer": "3.57", "explanation": "this is how many years it would take to repay the debt at existing cash flow with no new debt .", "ann_table_rows": [7, 11], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "10406", "arg2": "2909", "res": "3.57"}], "program": "divide(10406, 2909)", "gold_inds": {"table_7": "net earnings ( loss ) attributable to devon the operating cash flow of 2017 $ 898 is $ 2909 ; the operating cash flow of change +185% ( +185 % ) is +94% ( +94 % ) ; the operating cash flow of 2016* $ -1056 ( 1056 ) is $ 1500 ; the operating cash flow of change +92% ( +92 % ) is - 69% ( 69 % ) ; the operating cash flow of 2015* $ -12896 ( 12896 ) is $ 4898 ;", "table_11": "net earnings ( loss ) attributable to devon the total debt of 2017 $ 898 is $ 10406 ; the total debt of change +185% ( +185 % ) is +2% ( +2 % ) ; the total debt of 2016* $ -1056 ( 1056 ) is $ 10154 ; the total debt of change +92% ( +92 % ) is - 22% ( 22 % ) ; the total debt of 2015* $ -12896 ( 12896 ) is $ 13032 ;"}, "exe_ans": 3.57717, "tfidftopn": {"table_10": "net earnings ( loss ) attributable to devon The cash and cash equivalents of 2017 $ 898 is $ 2673 ; The cash and cash equivalents of change +185% ( +185 % ) is +36% ( +36 % ) ; The cash and cash equivalents of 2016* $ -1056 ( 1056 ) is $ 1959 ; The cash and cash equivalents of change +92% ( +92 % ) is - 15% ( 15 % ) ; The cash and cash equivalents of 2015* $ -12896 ( 12896 ) is $ 2310 ;"}, "program_re": "divide(10406, 2909)", "model_input": [["table_7", "net earnings ( loss ) attributable to devon the operating cash flow of 2017 $ 898 is $ 2909 ; the operating cash flow of change +185% ( +185 % ) is +94% ( +94 % ) ; the operating cash flow of 2016* $ -1056 ( 1056 ) is $ 1500 ; the operating cash flow of change +92% ( +92 % ) is - 69% ( 69 % ) ; the operating cash flow of 2015* $ -12896 ( 12896 ) is $ 4898 ;"], ["table_10", "net earnings ( loss ) attributable to devon the cash and cash equivalents of 2017 $ 898 is $ 2673 ; the cash and cash equivalents of change +185% ( +185 % ) is +36% ( +36 % ) ; the cash and cash equivalents of 2016* $ -1056 ( 1056 ) is $ 1959 ; the cash and cash equivalents of change +92% ( +92 % ) is - 15% ( 15 % ) ; the cash and cash equivalents of 2015* $ -12896 ( 12896 ) is $ 2310 ;"], ["table_11", "net earnings ( loss ) attributable to devon the total debt of 2017 $ 898 is $ 10406 ; the total debt of change +185% ( +185 % ) is +2% ( +2 % ) ; the total debt of 2016* $ -1056 ( 1056 ) is $ 10154 ; the total debt of change +92% ( +92 % ) is - 22% ( 22 % ) ; the total debt of 2015* $ -12896 ( 12896 ) is $ 13032 ;"]]}, "answers": ["3.57"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000745", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in unrecognized tax benefits between 2008 and 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "127.", "rejected": "359.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the change in unrecognized tax benefits <TIME>?", "doc_prefix": "IP", "base_question": "what was the change in unrecognized tax benefits <TIME>?", "original_question": "what was the change in unrecognized tax benefits between 2008 and 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"359": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "127": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}]}, "chosen_source": {"id": "IP/2009/page_83.pdf-2", "qa": {"question": "what was the change in unrecognized tax benefits between 2008 and 2009?", "answer": "127", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-308", "arg2": "-435", "res": "127"}], "program": "subtract(-308, -435)", "gold_inds": {"table_8": "in millions the balance at december 31 of 2009 is $ -308 ( 308 ) ; the balance at december 31 of 2008 is $ -435 ( 435 ) ; the balance at december 31 of 2007 is $ -794 ( 794 ) ;"}, "exe_ans": 127.0, "tfidftopn": {"text_22": "during 2009 , unrecognized tax benefits decreased by $ 127 million .", "text_10": "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the year ending december 31 , 2009 and 2008 is as follows : in millions 2009 2008 2007 ."}, "program_re": "subtract(-308, -435)", "model_input": [["table_1", "in millions the balance at january 1 of 2009 is $ -435 ( 435 ) ; the balance at january 1 of 2008 is $ -794 ( 794 ) ; the balance at january 1 of 2007 is -919 ( 919 ) ;"], ["table_8", "in millions the balance at december 31 of 2009 is $ -308 ( 308 ) ; the balance at december 31 of 2008 is $ -435 ( 435 ) ; the balance at december 31 of 2007 is $ -794 ( 794 ) ;"], ["text_11", "included in the balance at december 31 , 2009 and 2008 are $ 56 million and $ 9 million , respectively , for tax positions for which the ultimate benefits are highly certain , but for which there is uncertainty about the timing of such benefits ."]]}, "answers": ["127"]}, "rejected_source": {"id": "IP/2009/page_83.pdf-1", "qa": {"question": "what was the change in unrecognized tax benefits between 2007 and 2008?", "answer": "359", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-435", "arg2": "-794", "res": "359"}], "program": "subtract(-435, -794)", "gold_inds": {"table_8": "in millions the balance at december 31 of 2009 is $ -308 ( 308 ) ; the balance at december 31 of 2008 is $ -435 ( 435 ) ; the balance at december 31 of 2007 is $ -794 ( 794 ) ;"}, "exe_ans": 359.0, "tfidftopn": {"text_22": "during 2009 , unrecognized tax benefits decreased by $ 127 million .", "text_10": "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the year ending december 31 , 2009 and 2008 is as follows : in millions 2009 2008 2007 ."}, "program_re": "subtract(-435, -794)", "model_input": [["table_1", "in millions the balance at january 1 of 2009 is $ -435 ( 435 ) ; the balance at january 1 of 2008 is $ -794 ( 794 ) ; the balance at january 1 of 2007 is -919 ( 919 ) ;"], ["table_8", "in millions the balance at december 31 of 2009 is $ -308 ( 308 ) ; the balance at december 31 of 2008 is $ -435 ( 435 ) ; the balance at december 31 of 2007 is $ -794 ( 794 ) ;"], ["text_11", "included in the balance at december 31 , 2009 and 2008 are $ 56 million and $ 9 million , respectively , for tax positions for which the ultimate benefits are highly certain , but for which there is uncertainty about the timing of such benefits ."]]}, "answers": ["359"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000746", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in unrecognized tax benefits between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "359.", "rejected": "127.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the change in unrecognized tax benefits <TIME>?", "doc_prefix": "IP", "base_question": "what was the change in unrecognized tax benefits <TIME>?", "original_question": "what was the change in unrecognized tax benefits between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"359": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "127": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}]}, "chosen_source": {"id": "IP/2009/page_83.pdf-1", "qa": {"question": "what was the change in unrecognized tax benefits between 2007 and 2008?", "answer": "359", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-435", "arg2": "-794", "res": "359"}], "program": "subtract(-435, -794)", "gold_inds": {"table_8": "in millions the balance at december 31 of 2009 is $ -308 ( 308 ) ; the balance at december 31 of 2008 is $ -435 ( 435 ) ; the balance at december 31 of 2007 is $ -794 ( 794 ) ;"}, "exe_ans": 359.0, "tfidftopn": {"text_22": "during 2009 , unrecognized tax benefits decreased by $ 127 million .", "text_10": "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the year ending december 31 , 2009 and 2008 is as follows : in millions 2009 2008 2007 ."}, "program_re": "subtract(-435, -794)", "model_input": [["table_1", "in millions the balance at january 1 of 2009 is $ -435 ( 435 ) ; the balance at january 1 of 2008 is $ -794 ( 794 ) ; the balance at january 1 of 2007 is -919 ( 919 ) ;"], ["table_8", "in millions the balance at december 31 of 2009 is $ -308 ( 308 ) ; the balance at december 31 of 2008 is $ -435 ( 435 ) ; the balance at december 31 of 2007 is $ -794 ( 794 ) ;"], ["text_11", "included in the balance at december 31 , 2009 and 2008 are $ 56 million and $ 9 million , respectively , for tax positions for which the ultimate benefits are highly certain , but for which there is uncertainty about the timing of such benefits ."]]}, "answers": ["359"]}, "rejected_source": {"id": "IP/2009/page_83.pdf-2", "qa": {"question": "what was the change in unrecognized tax benefits between 2008 and 2009?", "answer": "127", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-308", "arg2": "-435", "res": "127"}], "program": "subtract(-308, -435)", "gold_inds": {"table_8": "in millions the balance at december 31 of 2009 is $ -308 ( 308 ) ; the balance at december 31 of 2008 is $ -435 ( 435 ) ; the balance at december 31 of 2007 is $ -794 ( 794 ) ;"}, "exe_ans": 127.0, "tfidftopn": {"text_22": "during 2009 , unrecognized tax benefits decreased by $ 127 million .", "text_10": "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the year ending december 31 , 2009 and 2008 is as follows : in millions 2009 2008 2007 ."}, "program_re": "subtract(-308, -435)", "model_input": [["table_1", "in millions the balance at january 1 of 2009 is $ -435 ( 435 ) ; the balance at january 1 of 2008 is $ -794 ( 794 ) ; the balance at january 1 of 2007 is -919 ( 919 ) ;"], ["table_8", "in millions the balance at december 31 of 2009 is $ -308 ( 308 ) ; the balance at december 31 of 2008 is $ -435 ( 435 ) ; the balance at december 31 of 2007 is $ -794 ( 794 ) ;"], ["text_11", "included in the balance at december 31 , 2009 and 2008 are $ 56 million and $ 9 million , respectively , for tax positions for which the ultimate benefits are highly certain , but for which there is uncertainty about the timing of such benefits ."]]}, "answers": ["127"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000747", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the effect in difference of average borrowing rate due to the use of swaps in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "2.1%.", "rejected": "2.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MS || what was the effect in difference of average borrowing rate due to the use of swaps <TIME>?", "doc_prefix": "MS", "base_question": "what was the effect in difference of average borrowing rate due to the use of swaps <TIME>?", "original_question": "what was the effect in difference of average borrowing rate due to the use of swaps in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.1%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "2.2%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "MS/2013/page_223.pdf-2", "qa": {"question": "what was the effect in difference of average borrowing rate due to the use of swaps in 2012?", "answer": "2.1%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4.4", "arg2": "2.3", "res": "2.1"}], "program": "subtract(4.4, 2.3)", "gold_inds": {"table_1": "the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2013 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2012 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2011 is 4.0% ( 4.0 % ) ;", "table_2": "the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2013 is 2.2% ( 2.2 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2012 is 2.3% ( 2.3 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2011 is 1.9% ( 1.9 % ) ;"}, "exe_ans": 2.1, "tfidftopn": {"text_27": "the company 2019s use of swaps for asset and liability management affected its effective average borrowing rate as follows: ."}, "program_re": "subtract(4.4, 2.3)", "model_input": [["text_15", "included in the company 2019s long-term borrowings are subordinated notes of $ 9275 million having a contractual weighted average coupon of 4.69% ( 4.69 % ) at december 31 , 2013 and $ 5845 million having a weighted average coupon of 4.81% ( 4.81 % ) at december 31 , 2012 ."], ["table_1", "the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2013 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2012 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2011 is 4.0% ( 4.0 % ) ;"], ["table_2", "the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2013 is 2.2% ( 2.2 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2012 is 2.3% ( 2.3 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2011 is 1.9% ( 1.9 % ) ;"]]}, "answers": ["2.1%"]}, "rejected_source": {"id": "MS/2013/page_223.pdf-1", "qa": {"question": "what was the effect in difference of average borrowing rate due to the use of swaps in 2013?", "answer": "2.2%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4.4", "arg2": "2.2", "res": "2.2"}], "program": "subtract(4.4, 2.2)", "gold_inds": {"table_1": "the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2013 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2012 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2011 is 4.0% ( 4.0 % ) ;", "table_2": "the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2013 is 2.2% ( 2.2 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2012 is 2.3% ( 2.3 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2011 is 1.9% ( 1.9 % ) ;"}, "exe_ans": 2.2, "tfidftopn": {"text_27": "the company 2019s use of swaps for asset and liability management affected its effective average borrowing rate as follows: ."}, "program_re": "subtract(4.4, 2.2)", "model_input": [["text_15", "included in the company 2019s long-term borrowings are subordinated notes of $ 9275 million having a contractual weighted average coupon of 4.69% ( 4.69 % ) at december 31 , 2013 and $ 5845 million having a weighted average coupon of 4.81% ( 4.81 % ) at december 31 , 2012 ."], ["table_1", "the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2013 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2012 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2011 is 4.0% ( 4.0 % ) ;"], ["table_2", "the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2013 is 2.2% ( 2.2 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2012 is 2.3% ( 2.3 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2011 is 1.9% ( 1.9 % ) ;"]]}, "answers": ["2.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000748", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the effect in difference of average borrowing rate due to the use of swaps in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "2.2%.", "rejected": "2.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MS || what was the effect in difference of average borrowing rate due to the use of swaps <TIME>?", "doc_prefix": "MS", "base_question": "what was the effect in difference of average borrowing rate due to the use of swaps <TIME>?", "original_question": "what was the effect in difference of average borrowing rate due to the use of swaps in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.1%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "2.2%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "MS/2013/page_223.pdf-1", "qa": {"question": "what was the effect in difference of average borrowing rate due to the use of swaps in 2013?", "answer": "2.2%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4.4", "arg2": "2.2", "res": "2.2"}], "program": "subtract(4.4, 2.2)", "gold_inds": {"table_1": "the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2013 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2012 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2011 is 4.0% ( 4.0 % ) ;", "table_2": "the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2013 is 2.2% ( 2.2 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2012 is 2.3% ( 2.3 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2011 is 1.9% ( 1.9 % ) ;"}, "exe_ans": 2.2, "tfidftopn": {"text_27": "the company 2019s use of swaps for asset and liability management affected its effective average borrowing rate as follows: ."}, "program_re": "subtract(4.4, 2.2)", "model_input": [["text_15", "included in the company 2019s long-term borrowings are subordinated notes of $ 9275 million having a contractual weighted average coupon of 4.69% ( 4.69 % ) at december 31 , 2013 and $ 5845 million having a weighted average coupon of 4.81% ( 4.81 % ) at december 31 , 2012 ."], ["table_1", "the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2013 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2012 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2011 is 4.0% ( 4.0 % ) ;"], ["table_2", "the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2013 is 2.2% ( 2.2 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2012 is 2.3% ( 2.3 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2011 is 1.9% ( 1.9 % ) ;"]]}, "answers": ["2.2%"]}, "rejected_source": {"id": "MS/2013/page_223.pdf-2", "qa": {"question": "what was the effect in difference of average borrowing rate due to the use of swaps in 2012?", "answer": "2.1%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4.4", "arg2": "2.3", "res": "2.1"}], "program": "subtract(4.4, 2.3)", "gold_inds": {"table_1": "the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2013 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2012 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2011 is 4.0% ( 4.0 % ) ;", "table_2": "the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2013 is 2.2% ( 2.2 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2012 is 2.3% ( 2.3 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2011 is 1.9% ( 1.9 % ) ;"}, "exe_ans": 2.1, "tfidftopn": {"text_27": "the company 2019s use of swaps for asset and liability management affected its effective average borrowing rate as follows: ."}, "program_re": "subtract(4.4, 2.3)", "model_input": [["text_15", "included in the company 2019s long-term borrowings are subordinated notes of $ 9275 million having a contractual weighted average coupon of 4.69% ( 4.69 % ) at december 31 , 2013 and $ 5845 million having a weighted average coupon of 4.81% ( 4.81 % ) at december 31 , 2012 ."], ["table_1", "the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2013 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2012 is 4.4% ( 4.4 % ) ; the weighted average coupon of long-term borrowings at period-end ( 1 ) of 2011 is 4.0% ( 4.0 % ) ;"], ["table_2", "the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2013 is 2.2% ( 2.2 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2012 is 2.3% ( 2.3 % ) ; the effective average borrowing rate for long-term borrowings after swaps at period-end ( 1 ) of 2011 is 1.9% ( 1.9 % ) ;"]]}, "answers": ["2.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000749", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in investment income ( loss ) net from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-389.", "rejected": "-512.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CMCSA || what was the percentage change in investment income ( loss ) net <TIME>?", "doc_prefix": "CMCSA", "base_question": "what was the percentage change in investment income ( loss ) net <TIME>?", "original_question": "what was the percentage change in investment income ( loss ) net from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-389": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "-512": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "CMCSA/2008/page_59.pdf-1", "qa": {"question": "what was the percentage change in investment income ( loss ) net from 2006 to 2007?", "answer": "-389", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "601", "arg2": "990", "res": "-389"}], "program": "subtract(601, 990)", "gold_inds": {"table_8": "year ended december 31 ( in millions ) the investment income ( loss ) net of 2008 is $ 89 ; the investment income ( loss ) net of 2007 is $ 601 ; the investment income ( loss ) net of 2006 is $ 990 ;"}, "exe_ans": -389.0, "tfidftopn": {"text_32": "investment income ( loss ) , net .", "text_12": "we will account for our investment under the equity method and record our share of net income or loss one quarter in arrears ."}, "program_re": "subtract(601, 990)", "model_input": [["table_1", "year ended december 31 ( in millions ) the gains on sales and exchanges of investments net of 2008 is $ 8 ; the gains on sales and exchanges of investments net of 2007 is $ 151 ; the gains on sales and exchanges of investments net of 2006 is $ 733 ;"], ["table_2", "year ended december 31 ( in millions ) the investment impairment losses of 2008 is -28 ( 28 ) ; the investment impairment losses of 2007 is -4 ( 4 ) ; the investment impairment losses of 2006 is -4 ( 4 ) ;"], ["table_8", "year ended december 31 ( in millions ) the investment income ( loss ) net of 2008 is $ 89 ; the investment income ( loss ) net of 2007 is $ 601 ; the investment income ( loss ) net of 2006 is $ 990 ;"]]}, "answers": ["-389"]}, "rejected_source": {"id": "CMCSA/2008/page_59.pdf-2", "qa": {"question": "what was the percentage change in investment income ( loss ) net from 2007 to 2008?", "answer": "-512", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "89", "arg2": "601", "res": "-512"}], "program": "subtract(89, 601)", "gold_inds": {"table_8": "year ended december 31 ( in millions ) the investment income ( loss ) net of 2008 is $ 89 ; the investment income ( loss ) net of 2007 is $ 601 ; the investment income ( loss ) net of 2006 is $ 990 ;"}, "exe_ans": -512.0, "tfidftopn": {"text_32": "investment income ( loss ) , net .", "text_12": "we will account for our investment under the equity method and record our share of net income or loss one quarter in arrears ."}, "program_re": "subtract(89, 601)", "model_input": [["table_1", "year ended december 31 ( in millions ) the gains on sales and exchanges of investments net of 2008 is $ 8 ; the gains on sales and exchanges of investments net of 2007 is $ 151 ; the gains on sales and exchanges of investments net of 2006 is $ 733 ;"], ["table_2", "year ended december 31 ( in millions ) the investment impairment losses of 2008 is -28 ( 28 ) ; the investment impairment losses of 2007 is -4 ( 4 ) ; the investment impairment losses of 2006 is -4 ( 4 ) ;"], ["table_8", "year ended december 31 ( in millions ) the investment income ( loss ) net of 2008 is $ 89 ; the investment income ( loss ) net of 2007 is $ 601 ; the investment income ( loss ) net of 2006 is $ 990 ;"]]}, "answers": ["-512"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000750", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in investment income ( loss ) net from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-512.", "rejected": "-389.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CMCSA || what was the percentage change in investment income ( loss ) net <TIME>?", "doc_prefix": "CMCSA", "base_question": "what was the percentage change in investment income ( loss ) net <TIME>?", "original_question": "what was the percentage change in investment income ( loss ) net from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-389": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "-512": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "CMCSA/2008/page_59.pdf-2", "qa": {"question": "what was the percentage change in investment income ( loss ) net from 2007 to 2008?", "answer": "-512", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "89", "arg2": "601", "res": "-512"}], "program": "subtract(89, 601)", "gold_inds": {"table_8": "year ended december 31 ( in millions ) the investment income ( loss ) net of 2008 is $ 89 ; the investment income ( loss ) net of 2007 is $ 601 ; the investment income ( loss ) net of 2006 is $ 990 ;"}, "exe_ans": -512.0, "tfidftopn": {"text_32": "investment income ( loss ) , net .", "text_12": "we will account for our investment under the equity method and record our share of net income or loss one quarter in arrears ."}, "program_re": "subtract(89, 601)", "model_input": [["table_1", "year ended december 31 ( in millions ) the gains on sales and exchanges of investments net of 2008 is $ 8 ; the gains on sales and exchanges of investments net of 2007 is $ 151 ; the gains on sales and exchanges of investments net of 2006 is $ 733 ;"], ["table_2", "year ended december 31 ( in millions ) the investment impairment losses of 2008 is -28 ( 28 ) ; the investment impairment losses of 2007 is -4 ( 4 ) ; the investment impairment losses of 2006 is -4 ( 4 ) ;"], ["table_8", "year ended december 31 ( in millions ) the investment income ( loss ) net of 2008 is $ 89 ; the investment income ( loss ) net of 2007 is $ 601 ; the investment income ( loss ) net of 2006 is $ 990 ;"]]}, "answers": ["-512"]}, "rejected_source": {"id": "CMCSA/2008/page_59.pdf-1", "qa": {"question": "what was the percentage change in investment income ( loss ) net from 2006 to 2007?", "answer": "-389", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "601", "arg2": "990", "res": "-389"}], "program": "subtract(601, 990)", "gold_inds": {"table_8": "year ended december 31 ( in millions ) the investment income ( loss ) net of 2008 is $ 89 ; the investment income ( loss ) net of 2007 is $ 601 ; the investment income ( loss ) net of 2006 is $ 990 ;"}, "exe_ans": -389.0, "tfidftopn": {"text_32": "investment income ( loss ) , net .", "text_12": "we will account for our investment under the equity method and record our share of net income or loss one quarter in arrears ."}, "program_re": "subtract(601, 990)", "model_input": [["table_1", "year ended december 31 ( in millions ) the gains on sales and exchanges of investments net of 2008 is $ 8 ; the gains on sales and exchanges of investments net of 2007 is $ 151 ; the gains on sales and exchanges of investments net of 2006 is $ 733 ;"], ["table_2", "year ended december 31 ( in millions ) the investment impairment losses of 2008 is -28 ( 28 ) ; the investment impairment losses of 2007 is -4 ( 4 ) ; the investment impairment losses of 2006 is -4 ( 4 ) ;"], ["table_8", "year ended december 31 ( in millions ) the investment income ( loss ) net of 2008 is $ 89 ; the investment income ( loss ) net of 2007 is $ 601 ; the investment income ( loss ) net of 2006 is $ 990 ;"]]}, "answers": ["-389"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000751", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total inventories was comprised of raw materials and packaging in 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "46%.", "rejected": "49%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percent of total inventories was comprised of raw materials and packaging <TIME>?", "doc_prefix": "CAG", "base_question": "what percent of total inventories was comprised of raw materials and packaging <TIME>?", "original_question": "what percent of total inventories was comprised of raw materials and packaging in 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"46%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "49%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "CAG/2007/page_79.pdf-1", "qa": {"question": "what percent of total inventories was comprised of raw materials and packaging in 2006?", "answer": "46%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "985.0", "arg2": "2130.6", "res": "46%"}], "program": "divide(985.0, 2130.6)", "gold_inds": {"table_1": "the raw materials and packaging of 2007 is $ 1154.2 ; the raw materials and packaging of 2006 is $ 985.0 ;", "table_5": "the total of 2007 is $ 2348.5 ; the total of 2006 is $ 2130.6 ;"}, "exe_ans": 0.46231, "tfidftopn": {"text_17": "inventories the major classes of inventories are as follows: ."}, "program_re": "divide(985.0, 2130.6)", "model_input": [["table_1", "the raw materials and packaging of 2007 is $ 1154.2 ; the raw materials and packaging of 2006 is $ 985.0 ;"], ["table_5", "the total of 2007 is $ 2348.5 ; the total of 2006 is $ 2130.6 ;"], ["text_18", "raw materials and packaging includes grain , fertilizer , crude oil , and other trading and merchandising inventory of $ 691.0 million and $ 542.1 million as of the end of fiscal year 2007 and 2006 , respectively. ."]]}, "answers": ["46%"]}, "rejected_source": {"id": "CAG/2007/page_79.pdf-2", "qa": {"question": "what percent of total inventories was comprised of raw materials and packaging in 2007?", "answer": "49%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1154.2", "arg2": "2348.5", "res": "49%"}], "program": "divide(1154.2, 2348.5)", "gold_inds": {"table_1": "the raw materials and packaging of 2007 is $ 1154.2 ; the raw materials and packaging of 2006 is $ 985.0 ;", "table_5": "the total of 2007 is $ 2348.5 ; the total of 2006 is $ 2130.6 ;"}, "exe_ans": 0.49146, "tfidftopn": {"text_17": "inventories the major classes of inventories are as follows: ."}, "program_re": "divide(1154.2, 2348.5)", "model_input": [["table_1", "the raw materials and packaging of 2007 is $ 1154.2 ; the raw materials and packaging of 2006 is $ 985.0 ;"], ["table_5", "the total of 2007 is $ 2348.5 ; the total of 2006 is $ 2130.6 ;"], ["text_18", "raw materials and packaging includes grain , fertilizer , crude oil , and other trading and merchandising inventory of $ 691.0 million and $ 542.1 million as of the end of fiscal year 2007 and 2006 , respectively. ."]]}, "answers": ["49%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000752", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total inventories was comprised of raw materials and packaging in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "49%.", "rejected": "46%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percent of total inventories was comprised of raw materials and packaging <TIME>?", "doc_prefix": "CAG", "base_question": "what percent of total inventories was comprised of raw materials and packaging <TIME>?", "original_question": "what percent of total inventories was comprised of raw materials and packaging in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"46%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "49%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "CAG/2007/page_79.pdf-2", "qa": {"question": "what percent of total inventories was comprised of raw materials and packaging in 2007?", "answer": "49%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1154.2", "arg2": "2348.5", "res": "49%"}], "program": "divide(1154.2, 2348.5)", "gold_inds": {"table_1": "the raw materials and packaging of 2007 is $ 1154.2 ; the raw materials and packaging of 2006 is $ 985.0 ;", "table_5": "the total of 2007 is $ 2348.5 ; the total of 2006 is $ 2130.6 ;"}, "exe_ans": 0.49146, "tfidftopn": {"text_17": "inventories the major classes of inventories are as follows: ."}, "program_re": "divide(1154.2, 2348.5)", "model_input": [["table_1", "the raw materials and packaging of 2007 is $ 1154.2 ; the raw materials and packaging of 2006 is $ 985.0 ;"], ["table_5", "the total of 2007 is $ 2348.5 ; the total of 2006 is $ 2130.6 ;"], ["text_18", "raw materials and packaging includes grain , fertilizer , crude oil , and other trading and merchandising inventory of $ 691.0 million and $ 542.1 million as of the end of fiscal year 2007 and 2006 , respectively. ."]]}, "answers": ["49%"]}, "rejected_source": {"id": "CAG/2007/page_79.pdf-1", "qa": {"question": "what percent of total inventories was comprised of raw materials and packaging in 2006?", "answer": "46%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "985.0", "arg2": "2130.6", "res": "46%"}], "program": "divide(985.0, 2130.6)", "gold_inds": {"table_1": "the raw materials and packaging of 2007 is $ 1154.2 ; the raw materials and packaging of 2006 is $ 985.0 ;", "table_5": "the total of 2007 is $ 2348.5 ; the total of 2006 is $ 2130.6 ;"}, "exe_ans": 0.46231, "tfidftopn": {"text_17": "inventories the major classes of inventories are as follows: ."}, "program_re": "divide(985.0, 2130.6)", "model_input": [["table_1", "the raw materials and packaging of 2007 is $ 1154.2 ; the raw materials and packaging of 2006 is $ 985.0 ;"], ["table_5", "the total of 2007 is $ 2348.5 ; the total of 2006 is $ 2130.6 ;"], ["text_18", "raw materials and packaging includes grain , fertilizer , crude oil , and other trading and merchandising inventory of $ 691.0 million and $ 542.1 million as of the end of fiscal year 2007 and 2006 , respectively. ."]]}, "answers": ["46%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000753", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions in 2002?\nReference time interval: 2002-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "17.5.", "rejected": "18.8.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions <TIME>?", "doc_prefix": "AES", "base_question": "what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions <TIME>?", "original_question": "what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions in 2002?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17.5": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "18.8": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}]}, "chosen_source": {"id": "AES/2003/page_168.pdf-2", "qa": {"question": "what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions in 2002?", "answer": "17.5", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "771", "arg2": "44", "res": "17.5"}], "program": "divide(771, 44)", "gold_inds": {"table_1": "the subsidiaries of 2003 is $ 807 ; the subsidiaries of 2002 is $ 771 ; the subsidiaries of 2001 is $ 1038 ;", "table_2": "the affiliates of 2003 is 43 ; the affiliates of 2002 is 44 ; the affiliates of 2001 is 21 ;"}, "exe_ans": 17.52273, "tfidftopn": {"text_1": "dividends from subsidiaries and affiliates cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method were as follows ( in millions ) : ."}, "program_re": "divide(771, 44)", "model_input": [["text_1", "dividends from subsidiaries and affiliates cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method were as follows ( in millions ) : ."], ["table_1", "the subsidiaries of 2003 is $ 807 ; the subsidiaries of 2002 is $ 771 ; the subsidiaries of 2001 is $ 1038 ;"], ["table_2", "the affiliates of 2003 is 43 ; the affiliates of 2002 is 44 ; the affiliates of 2001 is 21 ;"]]}, "answers": ["17.5"]}, "rejected_source": {"id": "AES/2003/page_168.pdf-3", "qa": {"question": "what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions in 2003?", "answer": "18.8", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "807", "arg2": "43", "res": "18.8"}], "program": "divide(807, 43)", "gold_inds": {"table_1": "the subsidiaries of 2003 is $ 807 ; the subsidiaries of 2002 is $ 771 ; the subsidiaries of 2001 is $ 1038 ;", "table_2": "the affiliates of 2003 is 43 ; the affiliates of 2002 is 44 ; the affiliates of 2001 is 21 ;"}, "exe_ans": 18.76744, "tfidftopn": {"text_1": "dividends from subsidiaries and affiliates cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method were as follows ( in millions ) : ."}, "program_re": "divide(807, 43)", "model_input": [["text_1", "dividends from subsidiaries and affiliates cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method were as follows ( in millions ) : ."], ["table_1", "the subsidiaries of 2003 is $ 807 ; the subsidiaries of 2002 is $ 771 ; the subsidiaries of 2001 is $ 1038 ;"], ["table_2", "the affiliates of 2003 is 43 ; the affiliates of 2002 is 44 ; the affiliates of 2001 is 21 ;"]]}, "answers": ["18.8"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000754", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions in 2003?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "18.8.", "rejected": "17.5.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions <TIME>?", "doc_prefix": "AES", "base_question": "what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions <TIME>?", "original_question": "what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions in 2003?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17.5": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "18.8": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}]}, "chosen_source": {"id": "AES/2003/page_168.pdf-3", "qa": {"question": "what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions in 2003?", "answer": "18.8", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "807", "arg2": "43", "res": "18.8"}], "program": "divide(807, 43)", "gold_inds": {"table_1": "the subsidiaries of 2003 is $ 807 ; the subsidiaries of 2002 is $ 771 ; the subsidiaries of 2001 is $ 1038 ;", "table_2": "the affiliates of 2003 is 43 ; the affiliates of 2002 is 44 ; the affiliates of 2001 is 21 ;"}, "exe_ans": 18.76744, "tfidftopn": {"text_1": "dividends from subsidiaries and affiliates cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method were as follows ( in millions ) : ."}, "program_re": "divide(807, 43)", "model_input": [["text_1", "dividends from subsidiaries and affiliates cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method were as follows ( in millions ) : ."], ["table_1", "the subsidiaries of 2003 is $ 807 ; the subsidiaries of 2002 is $ 771 ; the subsidiaries of 2001 is $ 1038 ;"], ["table_2", "the affiliates of 2003 is 43 ; the affiliates of 2002 is 44 ; the affiliates of 2001 is 21 ;"]]}, "answers": ["18.8"]}, "rejected_source": {"id": "AES/2003/page_168.pdf-2", "qa": {"question": "what was the average dividend or cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method in millions in 2002?", "answer": "17.5", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "771", "arg2": "44", "res": "17.5"}], "program": "divide(771, 44)", "gold_inds": {"table_1": "the subsidiaries of 2003 is $ 807 ; the subsidiaries of 2002 is $ 771 ; the subsidiaries of 2001 is $ 1038 ;", "table_2": "the affiliates of 2003 is 43 ; the affiliates of 2002 is 44 ; the affiliates of 2001 is 21 ;"}, "exe_ans": 17.52273, "tfidftopn": {"text_1": "dividends from subsidiaries and affiliates cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method were as follows ( in millions ) : ."}, "program_re": "divide(771, 44)", "model_input": [["text_1", "dividends from subsidiaries and affiliates cash dividends received from consolidated subsidiaries and from affiliates accounted for by the equity method were as follows ( in millions ) : ."], ["table_1", "the subsidiaries of 2003 is $ 807 ; the subsidiaries of 2002 is $ 771 ; the subsidiaries of 2001 is $ 1038 ;"], ["table_2", "the affiliates of 2003 is 43 ; the affiliates of 2002 is 44 ; the affiliates of 2001 is 21 ;"]]}, "answers": ["17.5"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000755", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: as a percent of total revenues net of interest expense what was non-interest revenue in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "91%.", "rejected": "97%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || as a percent of total revenues net of interest expense what was non-interest revenue <TIME>?", "doc_prefix": "C", "base_question": "as a percent of total revenues net of interest expense what was non-interest revenue <TIME>?", "original_question": "as a percent of total revenues net of interest expense what was non-interest revenue in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"91%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "97%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "C/2009/page_41.pdf-2", "qa": {"question": "as a percent of total revenues net of interest expense what was non-interest revenue in 2007?", "answer": "91%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "9751", "arg2": "10659", "res": "91%"}], "program": "divide(9751, 10659)", "gold_inds": {"table_2": "in millions of dollars the non-interest revenue of 2009 is 14703 ; the non-interest revenue of 2008 is 7199 ; the non-interest revenue of 2007 is 9751 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is nm ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -26 ( 26 ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2009 is $ 15135 ; the total revenues net of interest expense of 2008 is $ 8423 ; the total revenues net of interest expense of 2007 is $ 10659 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is 80% ( 80 % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 21 ) % ( % ) ;"}, "exe_ans": 0.91481, "tfidftopn": {"table_1": "in millions of dollars The net interest revenue of 2009 is $ 432 ; The net interest revenue of 2008 is $ 1224 ; The net interest revenue of 2007 is $ 908 ; The net interest revenue of % ( % ) change 2009 vs . 2008 is ( 65 ) % ( % ) ; The net interest revenue of % ( % ) change 2008 vs . 2007 is 35% ( 35 % ) ;"}, "program_re": "divide(9751, 10659)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2009 is $ 432 ; the net interest revenue of 2008 is $ 1224 ; the net interest revenue of 2007 is $ 908 ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 65 ) % ( % ) ; the net interest revenue of % ( % ) change 2008 vs . 2007 is 35% ( 35 % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2009 is 14703 ; the non-interest revenue of 2008 is 7199 ; the non-interest revenue of 2007 is 9751 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is nm ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -26 ( 26 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ 15135 ; the total revenues net of interest expense of 2008 is $ 8423 ; the total revenues net of interest expense of 2007 is $ 10659 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is 80% ( 80 % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 21 ) % ( % ) ;"]]}, "answers": ["91%"]}, "rejected_source": {"id": "C/2009/page_41.pdf-1", "qa": {"question": "as a percent of total revenues net of interest expense what was non-interest revenue in 2009?", "answer": "97%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "14703", "arg2": "15135", "res": "97%"}], "program": "divide(14703, 15135)", "gold_inds": {"table_2": "in millions of dollars the non-interest revenue of 2009 is 14703 ; the non-interest revenue of 2008 is 7199 ; the non-interest revenue of 2007 is 9751 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is nm ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -26 ( 26 ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2009 is $ 15135 ; the total revenues net of interest expense of 2008 is $ 8423 ; the total revenues net of interest expense of 2007 is $ 10659 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is 80% ( 80 % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 21 ) % ( % ) ;"}, "exe_ans": 0.97146, "tfidftopn": {"table_1": "in millions of dollars The net interest revenue of 2009 is $ 432 ; The net interest revenue of 2008 is $ 1224 ; The net interest revenue of 2007 is $ 908 ; The net interest revenue of % ( % ) change 2009 vs . 2008 is ( 65 ) % ( % ) ; The net interest revenue of % ( % ) change 2008 vs . 2007 is 35% ( 35 % ) ;"}, "program_re": "divide(14703, 15135)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2009 is $ 432 ; the net interest revenue of 2008 is $ 1224 ; the net interest revenue of 2007 is $ 908 ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 65 ) % ( % ) ; the net interest revenue of % ( % ) change 2008 vs . 2007 is 35% ( 35 % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2009 is 14703 ; the non-interest revenue of 2008 is 7199 ; the non-interest revenue of 2007 is 9751 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is nm ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -26 ( 26 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ 15135 ; the total revenues net of interest expense of 2008 is $ 8423 ; the total revenues net of interest expense of 2007 is $ 10659 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is 80% ( 80 % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 21 ) % ( % ) ;"]]}, "answers": ["97%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000756", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: as a percent of total revenues net of interest expense what was non-interest revenue in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "97%.", "rejected": "91%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || as a percent of total revenues net of interest expense what was non-interest revenue <TIME>?", "doc_prefix": "C", "base_question": "as a percent of total revenues net of interest expense what was non-interest revenue <TIME>?", "original_question": "as a percent of total revenues net of interest expense what was non-interest revenue in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"91%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "97%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "C/2009/page_41.pdf-1", "qa": {"question": "as a percent of total revenues net of interest expense what was non-interest revenue in 2009?", "answer": "97%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "14703", "arg2": "15135", "res": "97%"}], "program": "divide(14703, 15135)", "gold_inds": {"table_2": "in millions of dollars the non-interest revenue of 2009 is 14703 ; the non-interest revenue of 2008 is 7199 ; the non-interest revenue of 2007 is 9751 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is nm ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -26 ( 26 ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2009 is $ 15135 ; the total revenues net of interest expense of 2008 is $ 8423 ; the total revenues net of interest expense of 2007 is $ 10659 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is 80% ( 80 % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 21 ) % ( % ) ;"}, "exe_ans": 0.97146, "tfidftopn": {"table_1": "in millions of dollars The net interest revenue of 2009 is $ 432 ; The net interest revenue of 2008 is $ 1224 ; The net interest revenue of 2007 is $ 908 ; The net interest revenue of % ( % ) change 2009 vs . 2008 is ( 65 ) % ( % ) ; The net interest revenue of % ( % ) change 2008 vs . 2007 is 35% ( 35 % ) ;"}, "program_re": "divide(14703, 15135)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2009 is $ 432 ; the net interest revenue of 2008 is $ 1224 ; the net interest revenue of 2007 is $ 908 ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 65 ) % ( % ) ; the net interest revenue of % ( % ) change 2008 vs . 2007 is 35% ( 35 % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2009 is 14703 ; the non-interest revenue of 2008 is 7199 ; the non-interest revenue of 2007 is 9751 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is nm ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -26 ( 26 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ 15135 ; the total revenues net of interest expense of 2008 is $ 8423 ; the total revenues net of interest expense of 2007 is $ 10659 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is 80% ( 80 % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 21 ) % ( % ) ;"]]}, "answers": ["97%"]}, "rejected_source": {"id": "C/2009/page_41.pdf-2", "qa": {"question": "as a percent of total revenues net of interest expense what was non-interest revenue in 2007?", "answer": "91%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "9751", "arg2": "10659", "res": "91%"}], "program": "divide(9751, 10659)", "gold_inds": {"table_2": "in millions of dollars the non-interest revenue of 2009 is 14703 ; the non-interest revenue of 2008 is 7199 ; the non-interest revenue of 2007 is 9751 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is nm ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -26 ( 26 ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2009 is $ 15135 ; the total revenues net of interest expense of 2008 is $ 8423 ; the total revenues net of interest expense of 2007 is $ 10659 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is 80% ( 80 % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 21 ) % ( % ) ;"}, "exe_ans": 0.91481, "tfidftopn": {"table_1": "in millions of dollars The net interest revenue of 2009 is $ 432 ; The net interest revenue of 2008 is $ 1224 ; The net interest revenue of 2007 is $ 908 ; The net interest revenue of % ( % ) change 2009 vs . 2008 is ( 65 ) % ( % ) ; The net interest revenue of % ( % ) change 2008 vs . 2007 is 35% ( 35 % ) ;"}, "program_re": "divide(9751, 10659)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2009 is $ 432 ; the net interest revenue of 2008 is $ 1224 ; the net interest revenue of 2007 is $ 908 ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 65 ) % ( % ) ; the net interest revenue of % ( % ) change 2008 vs . 2007 is 35% ( 35 % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2009 is 14703 ; the non-interest revenue of 2008 is 7199 ; the non-interest revenue of 2007 is 9751 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is nm ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -26 ( 26 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ 15135 ; the total revenues net of interest expense of 2008 is $ 8423 ; the total revenues net of interest expense of 2007 is $ 10659 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is 80% ( 80 % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 21 ) % ( % ) ;"]]}, "answers": ["91%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000757", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in weighted average common shares outstanding for diluted computations from 2013 to 2014 , in millions?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-4.1.", "rejected": "-7.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the change in weighted average common shares outstanding for diluted computations <TIME> , in millions?", "doc_prefix": "LMT", "base_question": "what was the change in weighted average common shares outstanding for diluted computations <TIME> , in millions?", "original_question": "what was the change in weighted average common shares outstanding for diluted computations from 2013 to 2014 , in millions?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-4.1": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-7.7": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "LMT/2015/page_86.pdf-1", "qa": {"question": "what was the change in weighted average common shares outstanding for diluted computations from 2013 to 2014 , in millions?", "answer": "-4.1", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "322.4", "arg2": "326.5", "res": "-4.1"}], "program": "subtract(322.4, 326.5)", "gold_inds": {"table_3": "the weighted average common shares outstanding for diluted computations of 2015 is 314.7 ; the weighted average common shares outstanding for diluted computations of 2014 is 322.4 ; the weighted average common shares outstanding for diluted computations of 2013 is 326.5 ;"}, "exe_ans": -4.1, "tfidftopn": {"table_1": "The weighted average common shares outstanding for basic computations of 2015 is 310.3 ; The weighted average common shares outstanding for basic computations of 2014 is 316.8 ; The weighted average common shares outstanding for basic computations of 2013 is 320.9 ;", "text_20": "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."}, "program_re": "subtract(322.4, 326.5)", "model_input": [["text_0", "2015 and 2014 was $ 1.5 billion and $ 1.3 billion ."], ["table_3", "the weighted average common shares outstanding for diluted computations of 2015 is 314.7 ; the weighted average common shares outstanding for diluted computations of 2014 is 322.4 ; the weighted average common shares outstanding for diluted computations of 2013 is 326.5 ;"], ["text_23", "the computation of diluted earnings per common share excluded 2.4 million stock options for the year ended december 31 , 2013 because their inclusion would have been anti-dilutive , primarily due to their exercise prices exceeding the average market prices of our common stock during the respective periods ."]]}, "answers": ["-4.1"]}, "rejected_source": {"id": "LMT/2015/page_86.pdf-3", "qa": {"question": "what was the change in weighted average common shares outstanding for diluted computations from 2014 to 2015 , in millions?", "answer": "-7.7", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "314.7", "arg2": "322.4", "res": "-7.7"}], "program": "subtract(314.7, 322.4)", "gold_inds": {"table_3": "the weighted average common shares outstanding for diluted computations of 2015 is 314.7 ; the weighted average common shares outstanding for diluted computations of 2014 is 322.4 ; the weighted average common shares outstanding for diluted computations of 2013 is 326.5 ;"}, "exe_ans": -7.7, "tfidftopn": {"table_1": "The weighted average common shares outstanding for basic computations of 2015 is 310.3 ; The weighted average common shares outstanding for basic computations of 2014 is 316.8 ; The weighted average common shares outstanding for basic computations of 2013 is 320.9 ;", "text_20": "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."}, "program_re": "subtract(314.7, 322.4)", "model_input": [["text_0", "2015 and 2014 was $ 1.5 billion and $ 1.3 billion ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2015 is 310.3 ; the weighted average common shares outstanding for basic computations of 2014 is 316.8 ; the weighted average common shares outstanding for basic computations of 2013 is 320.9 ;"], ["table_3", "the weighted average common shares outstanding for diluted computations of 2015 is 314.7 ; the weighted average common shares outstanding for diluted computations of 2014 is 322.4 ; the weighted average common shares outstanding for diluted computations of 2013 is 326.5 ;"]]}, "answers": ["-7.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000758", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in weighted average common shares outstanding for diluted computations from 2014 to 2015 , in millions?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-7.7.", "rejected": "-4.1.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the change in weighted average common shares outstanding for diluted computations <TIME> , in millions?", "doc_prefix": "LMT", "base_question": "what was the change in weighted average common shares outstanding for diluted computations <TIME> , in millions?", "original_question": "what was the change in weighted average common shares outstanding for diluted computations from 2014 to 2015 , in millions?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-4.1": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-7.7": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "LMT/2015/page_86.pdf-3", "qa": {"question": "what was the change in weighted average common shares outstanding for diluted computations from 2014 to 2015 , in millions?", "answer": "-7.7", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "314.7", "arg2": "322.4", "res": "-7.7"}], "program": "subtract(314.7, 322.4)", "gold_inds": {"table_3": "the weighted average common shares outstanding for diluted computations of 2015 is 314.7 ; the weighted average common shares outstanding for diluted computations of 2014 is 322.4 ; the weighted average common shares outstanding for diluted computations of 2013 is 326.5 ;"}, "exe_ans": -7.7, "tfidftopn": {"table_1": "The weighted average common shares outstanding for basic computations of 2015 is 310.3 ; The weighted average common shares outstanding for basic computations of 2014 is 316.8 ; The weighted average common shares outstanding for basic computations of 2013 is 320.9 ;", "text_20": "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."}, "program_re": "subtract(314.7, 322.4)", "model_input": [["text_0", "2015 and 2014 was $ 1.5 billion and $ 1.3 billion ."], ["table_1", "the weighted average common shares outstanding for basic computations of 2015 is 310.3 ; the weighted average common shares outstanding for basic computations of 2014 is 316.8 ; the weighted average common shares outstanding for basic computations of 2013 is 320.9 ;"], ["table_3", "the weighted average common shares outstanding for diluted computations of 2015 is 314.7 ; the weighted average common shares outstanding for diluted computations of 2014 is 322.4 ; the weighted average common shares outstanding for diluted computations of 2013 is 326.5 ;"]]}, "answers": ["-7.7"]}, "rejected_source": {"id": "LMT/2015/page_86.pdf-1", "qa": {"question": "what was the change in weighted average common shares outstanding for diluted computations from 2013 to 2014 , in millions?", "answer": "-4.1", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "322.4", "arg2": "326.5", "res": "-4.1"}], "program": "subtract(322.4, 326.5)", "gold_inds": {"table_3": "the weighted average common shares outstanding for diluted computations of 2015 is 314.7 ; the weighted average common shares outstanding for diluted computations of 2014 is 322.4 ; the weighted average common shares outstanding for diluted computations of 2013 is 326.5 ;"}, "exe_ans": -4.1, "tfidftopn": {"table_1": "The weighted average common shares outstanding for basic computations of 2015 is 310.3 ; The weighted average common shares outstanding for basic computations of 2014 is 316.8 ; The weighted average common shares outstanding for basic computations of 2013 is 320.9 ;", "text_20": "note 2 2013 earnings per share the weighted average number of shares outstanding used to compute earnings per common share were as follows ( in millions ) : ."}, "program_re": "subtract(322.4, 326.5)", "model_input": [["text_0", "2015 and 2014 was $ 1.5 billion and $ 1.3 billion ."], ["table_3", "the weighted average common shares outstanding for diluted computations of 2015 is 314.7 ; the weighted average common shares outstanding for diluted computations of 2014 is 322.4 ; the weighted average common shares outstanding for diluted computations of 2013 is 326.5 ;"], ["text_23", "the computation of diluted earnings per common share excluded 2.4 million stock options for the year ended december 31 , 2013 because their inclusion would have been anti-dilutive , primarily due to their exercise prices exceeding the average market prices of our common stock during the respective periods ."]]}, "answers": ["-4.1"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000759", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of state operating loss carryforwards expire between 2007 and 2011?\nReference time interval: 2007-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "17.2%.", "rejected": "39.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what portion of state operating loss carryforwards expire <TIME>?", "doc_prefix": "AMT", "base_question": "what portion of state operating loss carryforwards expire <TIME>?", "original_question": "what portion of state operating loss carryforwards expire between 2007 and 2011?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2007 and 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17.2%": [{"start": "2007-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2007 and 2011"}], "39.3%": [{"start": "2017-01-01 00:00:00", "end": "2022-01-01 00:00:00", "normalized_text": "between 2017 and 2021"}]}, "chosen_source": {"id": "AMT/2006/page_116.pdf-3", "qa": {"question": "what portion of state operating loss carryforwards expire between 2007 and 2011?", "answer": "17.2%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "438967", "arg2": "2548612", "res": "17.2%"}], "program": "divide(438967, 2548612)", "gold_inds": {"table_1": "years ended december 31 , the 2007 to 2011 of federal is ; the 2007 to 2011 of state is $ 438967 ;", "table_5": "years ended december 31 , the total of federal is $ 2093683 ; the total of state is $ 2548612 ;"}, "exe_ans": 0.17224, "tfidftopn": {"text_2": "if not utilized , the company 2019s net operating loss carryforwards expire as follows ( in thousands ) : ."}, "program_re": "divide(438967, 2548612)", "model_input": [["table_1", "years ended december 31 , the 2007 to 2011 of federal is ; the 2007 to 2011 of state is $ 438967 ;"], ["table_3", "years ended december 31, the 2017 to 2021 of federal is $ 617039 ; the 2017 to 2021 of state is 1001789 ;"], ["table_5", "years ended december 31 , the total of federal is $ 2093683 ; the total of state is $ 2548612 ;"]]}, "answers": ["17.2%"]}, "rejected_source": {"id": "AMT/2006/page_116.pdf-2", "qa": {"question": "what portion of state operating loss carryforwards expire between 2017 and 2021?", "answer": "39.3%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1001789", "arg2": "2548612", "res": "39.3%"}], "program": "divide(1001789, 2548612)", "gold_inds": {"table_1": "years ended december 31 , the 2007 to 2011 of federal is ; the 2007 to 2011 of state is $ 438967 ;", "table_5": "years ended december 31 , the total of federal is $ 2093683 ; the total of state is $ 2548612 ;", "table_3": "years ended december 31 , the 2017 to 2021 of federal is $ 617039 ; the 2017 to 2021 of state is 1001789 ;"}, "exe_ans": 0.39307, "tfidftopn": {}, "program_re": "divide(1001789, 2548612)", "model_input": [["table_1", "years ended december 31 , the 2007 to 2011 of federal is ; the 2007 to 2011 of state is $ 438967 ;"], ["table_3", "years ended december 31 , the 2017 to 2021 of federal is $ 617039 ; the 2017 to 2021 of state is 1001789 ;"], ["table_5", "years ended december 31 , the total of federal is $ 2093683 ; the total of state is $ 2548612 ;"]]}, "answers": ["39.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000760", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of state operating loss carryforwards expire between 2017 and 2021?\nReference time interval: 2017-01-01 00:00:00 to 2022-01-01 00:00:00", "chosen": "39.3%.", "rejected": "17.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what portion of state operating loss carryforwards expire <TIME>?", "doc_prefix": "AMT", "base_question": "what portion of state operating loss carryforwards expire <TIME>?", "original_question": "what portion of state operating loss carryforwards expire between 2017 and 2021?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2022-01-01 00:00:00", "normalized_text": "between 2017 and 2021", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17.2%": [{"start": "2007-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2007 and 2011"}], "39.3%": [{"start": "2017-01-01 00:00:00", "end": "2022-01-01 00:00:00", "normalized_text": "between 2017 and 2021"}]}, "chosen_source": {"id": "AMT/2006/page_116.pdf-2", "qa": {"question": "what portion of state operating loss carryforwards expire between 2017 and 2021?", "answer": "39.3%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1001789", "arg2": "2548612", "res": "39.3%"}], "program": "divide(1001789, 2548612)", "gold_inds": {"table_1": "years ended december 31 , the 2007 to 2011 of federal is ; the 2007 to 2011 of state is $ 438967 ;", "table_5": "years ended december 31 , the total of federal is $ 2093683 ; the total of state is $ 2548612 ;", "table_3": "years ended december 31 , the 2017 to 2021 of federal is $ 617039 ; the 2017 to 2021 of state is 1001789 ;"}, "exe_ans": 0.39307, "tfidftopn": {}, "program_re": "divide(1001789, 2548612)", "model_input": [["table_1", "years ended december 31 , the 2007 to 2011 of federal is ; the 2007 to 2011 of state is $ 438967 ;"], ["table_3", "years ended december 31 , the 2017 to 2021 of federal is $ 617039 ; the 2017 to 2021 of state is 1001789 ;"], ["table_5", "years ended december 31 , the total of federal is $ 2093683 ; the total of state is $ 2548612 ;"]]}, "answers": ["39.3%"]}, "rejected_source": {"id": "AMT/2006/page_116.pdf-3", "qa": {"question": "what portion of state operating loss carryforwards expire between 2007 and 2011?", "answer": "17.2%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "438967", "arg2": "2548612", "res": "17.2%"}], "program": "divide(438967, 2548612)", "gold_inds": {"table_1": "years ended december 31 , the 2007 to 2011 of federal is ; the 2007 to 2011 of state is $ 438967 ;", "table_5": "years ended december 31 , the total of federal is $ 2093683 ; the total of state is $ 2548612 ;"}, "exe_ans": 0.17224, "tfidftopn": {"text_2": "if not utilized , the company 2019s net operating loss carryforwards expire as follows ( in thousands ) : ."}, "program_re": "divide(438967, 2548612)", "model_input": [["table_1", "years ended december 31 , the 2007 to 2011 of federal is ; the 2007 to 2011 of state is $ 438967 ;"], ["table_3", "years ended december 31, the 2017 to 2021 of federal is $ 617039 ; the 2017 to 2021 of state is 1001789 ;"], ["table_5", "years ended december 31 , the total of federal is $ 2093683 ; the total of state is $ 2548612 ;"]]}, "answers": ["17.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000761", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of net cash from operating activities was derived from non-cash operating activities in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "101%.", "rejected": "45%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what percentage of net cash from operating activities was derived from non-cash operating activities <TIME>?", "doc_prefix": "UPS", "base_question": "what percentage of net cash from operating activities was derived from non-cash operating activities <TIME>?", "original_question": "what percentage of net cash from operating activities was derived from non-cash operating activities in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"101%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "45%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "UPS/2013/page_56.pdf-3", "qa": {"question": "what percentage of net cash from operating activities was derived from non-cash operating activities in 2012?", "answer": "101%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "7313", "arg2": "7216", "res": "101%"}], "program": "divide(7313, 7216)", "gold_inds": {"table_2": "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;", "table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 1.01344, "tfidftopn": {"table_6": "The other operating activities of 2013 is -140 ( 140 ) ; The other operating activities of 2012 is -119 ( 119 ) ; The other operating activities of 2011 is -97 ( 97 ) ;"}, "program_re": "divide(7313, 7216)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["101%"]}, "rejected_source": {"id": "UPS/2013/page_56.pdf-2", "qa": {"question": "what percentage of net cash from operating activities was derived from non-cash operating activities in 2013?", "answer": "45%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3318", "arg2": "7304", "res": "45%"}], "program": "divide(3318, 7304)", "gold_inds": {"table_2": "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;", "table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 0.45427, "tfidftopn": {"table_6": "The other operating activities of 2013 is -140 ( 140 ) ; The other operating activities of 2012 is -119 ( 119 ) ; The other operating activities of 2011 is -97 ( 97 ) ;"}, "program_re": "divide(3318, 7304)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["45%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000762", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of net cash from operating activities was derived from non-cash operating activities in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "45%.", "rejected": "101%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what percentage of net cash from operating activities was derived from non-cash operating activities <TIME>?", "doc_prefix": "UPS", "base_question": "what percentage of net cash from operating activities was derived from non-cash operating activities <TIME>?", "original_question": "what percentage of net cash from operating activities was derived from non-cash operating activities in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"101%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "45%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "UPS/2013/page_56.pdf-2", "qa": {"question": "what percentage of net cash from operating activities was derived from non-cash operating activities in 2013?", "answer": "45%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3318", "arg2": "7304", "res": "45%"}], "program": "divide(3318, 7304)", "gold_inds": {"table_2": "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;", "table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 0.45427, "tfidftopn": {"table_6": "The other operating activities of 2013 is -140 ( 140 ) ; The other operating activities of 2012 is -119 ( 119 ) ; The other operating activities of 2011 is -97 ( 97 ) ;"}, "program_re": "divide(3318, 7304)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["45%"]}, "rejected_source": {"id": "UPS/2013/page_56.pdf-3", "qa": {"question": "what percentage of net cash from operating activities was derived from non-cash operating activities in 2012?", "answer": "101%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "7313", "arg2": "7216", "res": "101%"}], "program": "divide(7313, 7216)", "gold_inds": {"table_2": "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;", "table_7": "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"}, "exe_ans": 1.01344, "tfidftopn": {"table_6": "The other operating activities of 2013 is -140 ( 140 ) ; The other operating activities of 2012 is -119 ( 119 ) ; The other operating activities of 2011 is -97 ( 97 ) ;"}, "program_re": "divide(7313, 7216)", "model_input": [["text_1", "and subsidiaries management's discussion and analysis of financial condition and results of operations liquidity and capital resources operating activities the following is a summary of the significant sources ( uses ) of cash from operating activities ( amounts in millions ) : ."], ["table_2", "the non-cash operating activities ( a ) of 2013 is 3318 ; the non-cash operating activities ( a ) of 2012 is 7313 ; the non-cash operating activities ( a ) of 2011 is 4578 ;"], ["table_7", "the net cash from operating activities of 2013 is $ 7304 ; the net cash from operating activities of 2012 is $ 7216 ; the net cash from operating activities of 2011 is $ 7073 ;"]]}, "answers": ["101%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000763", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: how is the cash flow of entergy mississippi affected by the balance in money pool from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "18576.", "rejected": "87041.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || how is the cash flow of entergy mississippi affected by the balance in money pool <TIME>?", "doc_prefix": "ETR", "base_question": "how is the cash flow of entergy mississippi affected by the balance in money pool <TIME>?", "original_question": "how is the cash flow of entergy mississippi affected by the balance in money pool from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18576": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}, {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "87041": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "ETR/2008/page_343.pdf-2", "qa": {"question": "how is the cash flow of entergy mississippi affected by the balance in money pool from 2006 to 2007?", "answer": "18576", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "39573", "arg2": "20997", "res": "18576"}], "program": "subtract(39573, 20997)", "gold_inds": {"table_2": "2008 the ( $ 66044 ) of 2007 is $ 20997 ; the ( $ 66044 ) of 2006 is $ 39573 ; the ( $ 66044 ) of 2005 is ( $ 84066 ) ;"}, "exe_ans": 18576.0, "tfidftopn": {"text_14": "in may 2007 , $ 6.6 million of entergy mississippi's receivable from the money pool was replaced by a note receivable from entergy new orleans .", "text_15": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "subtract(39573, 20997)", "model_input": [["text_13", "entergy mississippi's receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: ."], ["table_1", "2008 the ( in thousands ) of 2007 is ( in thousands ) ; the ( in thousands ) of 2006 is ( in thousands ) ; the ( in thousands ) of 2005 is ( in thousands ) ;"], ["table_2", "2008 the ( $ 66044 ) of 2007 is $ 20997 ; the ( $ 66044 ) of 2006 is $ 39573 ; the ( $ 66044 ) of 2005 is ( $ 84066 ) ;"]]}, "answers": ["18576"]}, "rejected_source": {"id": "ETR/2008/page_343.pdf-1", "qa": {"question": "how is the cash flow of entergy mississippi affected by the balance in money pool from 2007 to 2008?", "answer": "87041", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "20997", "arg2": "66044", "res": "87041"}], "program": "add(20997, 66044)", "gold_inds": {"table_2": "2008 the ( $ 66044 ) of 2007 is $ 20997 ; the ( $ 66044 ) of 2006 is $ 39573 ; the ( $ 66044 ) of 2005 is ( $ 84066 ) ;"}, "exe_ans": 87041.0, "tfidftopn": {"text_14": "in may 2007 , $ 6.6 million of entergy mississippi's receivable from the money pool was replaced by a note receivable from entergy new orleans .", "text_15": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "add(20997, 66044)", "model_input": [["text_13", "entergy mississippi's receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: ."], ["table_1", "2008 the ( in thousands ) of 2007 is ( in thousands ) ; the ( in thousands ) of 2006 is ( in thousands ) ; the ( in thousands ) of 2005 is ( in thousands ) ;"], ["table_2", "2008 the ( $ 66044 ) of 2007 is $ 20997 ; the ( $ 66044 ) of 2006 is $ 39573 ; the ( $ 66044 ) of 2005 is ( $ 84066 ) ;"]]}, "answers": ["87041"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000764", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: how is the cash flow of entergy mississippi affected by the balance in money pool from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "87041.", "rejected": "18576.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || how is the cash flow of entergy mississippi affected by the balance in money pool <TIME>?", "doc_prefix": "ETR", "base_question": "how is the cash flow of entergy mississippi affected by the balance in money pool <TIME>?", "original_question": "how is the cash flow of entergy mississippi affected by the balance in money pool from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18576": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}, {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "87041": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "ETR/2008/page_343.pdf-1", "qa": {"question": "how is the cash flow of entergy mississippi affected by the balance in money pool from 2007 to 2008?", "answer": "87041", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "20997", "arg2": "66044", "res": "87041"}], "program": "add(20997, 66044)", "gold_inds": {"table_2": "2008 the ( $ 66044 ) of 2007 is $ 20997 ; the ( $ 66044 ) of 2006 is $ 39573 ; the ( $ 66044 ) of 2005 is ( $ 84066 ) ;"}, "exe_ans": 87041.0, "tfidftopn": {"text_14": "in may 2007 , $ 6.6 million of entergy mississippi's receivable from the money pool was replaced by a note receivable from entergy new orleans .", "text_15": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "add(20997, 66044)", "model_input": [["text_13", "entergy mississippi's receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: ."], ["table_1", "2008 the ( in thousands ) of 2007 is ( in thousands ) ; the ( in thousands ) of 2006 is ( in thousands ) ; the ( in thousands ) of 2005 is ( in thousands ) ;"], ["table_2", "2008 the ( $ 66044 ) of 2007 is $ 20997 ; the ( $ 66044 ) of 2006 is $ 39573 ; the ( $ 66044 ) of 2005 is ( $ 84066 ) ;"]]}, "answers": ["87041"]}, "rejected_source": {"id": "ETR/2008/page_343.pdf-2", "qa": {"question": "how is the cash flow of entergy mississippi affected by the balance in money pool from 2006 to 2007?", "answer": "18576", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "39573", "arg2": "20997", "res": "18576"}], "program": "subtract(39573, 20997)", "gold_inds": {"table_2": "2008 the ( $ 66044 ) of 2007 is $ 20997 ; the ( $ 66044 ) of 2006 is $ 39573 ; the ( $ 66044 ) of 2005 is ( $ 84066 ) ;"}, "exe_ans": 18576.0, "tfidftopn": {"text_14": "in may 2007 , $ 6.6 million of entergy mississippi's receivable from the money pool was replaced by a note receivable from entergy new orleans .", "text_15": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "subtract(39573, 20997)", "model_input": [["text_13", "entergy mississippi's receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years: ."], ["table_1", "2008 the ( in thousands ) of 2007 is ( in thousands ) ; the ( in thousands ) of 2006 is ( in thousands ) ; the ( in thousands ) of 2005 is ( in thousands ) ;"], ["table_2", "2008 the ( $ 66044 ) of 2007 is $ 20997 ; the ( $ 66044 ) of 2006 is $ 39573 ; the ( $ 66044 ) of 2005 is ( $ 84066 ) ;"]]}, "answers": ["18576"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000765", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in interest expense from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6.5%.", "rejected": "80.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what is the percentage change in interest expense <TIME>?", "doc_prefix": "UAA", "base_question": "what is the percentage change in interest expense <TIME>?", "original_question": "what is the percentage change in interest expense from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6.5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "80.8%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "UAA/2016/page_80.pdf-3", "qa": {"question": "what is the percentage change in interest expense from 2015 to 2016?", "answer": "6.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "13.0", "arg2": "13.9", "res": "0.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13.9", "res": "6.5%"}], "program": "subtract(13.0, 13.9), divide(#0, 13.9)", "gold_inds": {"text_0": "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "exe_ans": -0.06475, "tfidftopn": {"text_2": "at december 31 , 2016 , 2015 and 2014 , the company determined that its goodwill and indefinite- lived intangible assets were not impaired .", "text_1": "the following is the estimated amortization expense for the company 2019s intangible assets as of december 31 , 2016 : ( in thousands ) ."}, "program_re": "divide(subtract(13.0, 13.9), 13.9)", "model_input": [["text_0", "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_1", "the following is the estimated amortization expense for the company 2019s intangible assets as of december 31 , 2016 : ( in thousands ) ."], ["table_6", "2017 the amortization expense of intangible assets of $ 10509 is $ 58370 ;"]]}, "answers": ["6.5%"]}, "rejected_source": {"id": "UAA/2016/page_82.pdf-1", "qa": {"question": "what is the percentage change in interest expense from 2015 to 2016?", "answer": "80.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "26.4", "arg2": "14.6", "res": "11.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "14.6", "res": "80.8%"}], "program": "subtract(26.4, 14.6), divide(#0, 14.6)", "gold_inds": {"text_0": "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "exe_ans": 0.80822, "tfidftopn": {"text_9": "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements .", "text_10": "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "program_re": "divide(subtract(26.4, 14.6), 14.6)", "model_input": [["text_0", "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_9", "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements ."], ["text_10", "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["80.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000766", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in interest expense from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "80.8%.", "rejected": "6.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what is the percentage change in interest expense <TIME>?", "doc_prefix": "UAA", "base_question": "what is the percentage change in interest expense <TIME>?", "original_question": "what is the percentage change in interest expense from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6.5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "80.8%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "UAA/2016/page_82.pdf-1", "qa": {"question": "what is the percentage change in interest expense from 2015 to 2016?", "answer": "80.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "26.4", "arg2": "14.6", "res": "11.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "14.6", "res": "80.8%"}], "program": "subtract(26.4, 14.6), divide(#0, 14.6)", "gold_inds": {"text_0": "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "exe_ans": 0.80822, "tfidftopn": {"text_9": "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements .", "text_10": "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "program_re": "divide(subtract(26.4, 14.6), 14.6)", "model_input": [["text_0", "interest expense , net was $ 26.4 million , $ 14.6 million , and $ 5.3 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_9", "included in selling , general and administrative expense was rent expense of $ 109.0 million , $ 83.0 million and $ 59.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively , under non-cancelable operating lease agreements ."], ["text_10", "included in these amounts was contingent rent expense of $ 13.0 million , $ 11.0 million and $ 11.0 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["80.8%"]}, "rejected_source": {"id": "UAA/2016/page_80.pdf-3", "qa": {"question": "what is the percentage change in interest expense from 2015 to 2016?", "answer": "6.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "13.0", "arg2": "13.9", "res": "0.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13.9", "res": "6.5%"}], "program": "subtract(13.0, 13.9), divide(#0, 13.9)", "gold_inds": {"text_0": "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "exe_ans": -0.06475, "tfidftopn": {"text_2": "at december 31 , 2016 , 2015 and 2014 , the company determined that its goodwill and indefinite- lived intangible assets were not impaired .", "text_1": "the following is the estimated amortization expense for the company 2019s intangible assets as of december 31 , 2016 : ( in thousands ) ."}, "program_re": "divide(subtract(13.0, 13.9), 13.9)", "model_input": [["text_0", "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_1", "the following is the estimated amortization expense for the company 2019s intangible assets as of december 31 , 2016 : ( in thousands ) ."], ["table_6", "2017 the amortization expense of intangible assets of $ 10509 is $ 58370 ;"]]}, "answers": ["6.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000767", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in total fee revenue in 2000?\nReference time interval: 2000-01-01 00:00:00 to 2001-01-01 00:00:00", "chosen": "15.3%.", "rejected": "6.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what is the growth rate in total fee revenue <TIME>?", "doc_prefix": "STT", "base_question": "what is the growth rate in total fee revenue <TIME>?", "original_question": "what is the growth rate in total fee revenue in 2000?", "reference_time": {"start": "2000-01-01 00:00:00", "end": "2001-01-01 00:00:00", "normalized_text": "2000", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.3%": [{"start": "2000-01-01 00:00:00", "end": "2001-01-01 00:00:00", "normalized_text": "2000"}], "6.3%": [{"start": "2001-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "2001"}]}, "chosen_source": {"id": "STT/2001/page_36.pdf-4", "qa": {"question": "what is the growth rate in total fee revenue in 2000?", "answer": "15.3%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2665", "arg2": "2312", "res": "353"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2312", "res": "15.3%"}], "program": "subtract(2665, 2312), divide(#0, 2312)", "gold_inds": {"table_5": "( dollars in millions ) the total fee revenue of 2001 ( 1 ) is $ 2832 ; the total fee revenue of 2000 is $ 2665 ; the total fee revenue of 1999 ( 2 ) is $ 2312 ; the total fee revenue of change 00-01 is 6 ; the total fee revenue of adjusted change 00-01 ( 3 ) is 8 ;"}, "exe_ans": 0.15268, "tfidftopn": {"text_6": "adjusted for the formation of citistreet , the growth in fee revenue was 8% ( 8 % ) .", "text_5": "fee revenue total operating fee revenuewas $ 2.8 billion in 2001 , compared to $ 2.7 billion in 2000 , an increase of 6% ( 6 % ) ."}, "program_re": "divide(subtract(2665, 2312), 2312)", "model_input": [["text_5", "fee revenue total operating fee revenuewas $ 2.8 billion in 2001 , compared to $ 2.7 billion in 2000 , an increase of 6% ( 6 % ) ."], ["text_13", "state street estimates , based on a study conducted in 2000 , that a 10% ( 10 % ) increase or decrease in worldwide equity values would cause a corresponding change in state street 2019s total revenue of approximately 2% ( 2 % ) ."], ["table_5", "( dollars in millions ) the total fee revenue of 2001 ( 1 ) is $ 2832 ; the total fee revenue of 2000 is $ 2665 ; the total fee revenue of 1999 ( 2 ) is $ 2312 ; the total fee revenue of change 00-01 is 6 ; the total fee revenue of adjusted change 00-01 ( 3 ) is 8 ;"]]}, "answers": ["15.3%"]}, "rejected_source": {"id": "STT/2001/page_36.pdf-2", "qa": {"question": "what is the growth rate in total fee revenue in 2001?", "answer": "6.3%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2832", "arg2": "2665", "res": "167"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2665", "res": "6.3%"}], "program": "subtract(2832, 2665), divide(#0, 2665)", "gold_inds": {"table_5": "( dollars in millions ) the total fee revenue of 2001 ( 1 ) is $ 2832 ; the total fee revenue of 2000 is $ 2665 ; the total fee revenue of 1999 ( 2 ) is $ 2312 ; the total fee revenue of change 00-01 is 6 ; the total fee revenue of adjusted change 00-01 ( 3 ) is 8 ;"}, "exe_ans": 0.06266, "tfidftopn": {"text_6": "adjusted for the formation of citistreet , the growth in fee revenue was 8% ( 8 % ) .", "text_5": "fee revenue total operating fee revenuewas $ 2.8 billion in 2001 , compared to $ 2.7 billion in 2000 , an increase of 6% ( 6 % ) ."}, "program_re": "divide(subtract(2832, 2665), 2665)", "model_input": [["text_5", "fee revenue total operating fee revenuewas $ 2.8 billion in 2001 , compared to $ 2.7 billion in 2000 , an increase of 6% ( 6 % ) ."], ["text_6", "adjusted for the formation of citistreet , the growth in fee revenue was 8% ( 8 % ) ."], ["table_5", "( dollars in millions ) the total fee revenue of 2001 ( 1 ) is $ 2832 ; the total fee revenue of 2000 is $ 2665 ; the total fee revenue of 1999 ( 2 ) is $ 2312 ; the total fee revenue of change 00-01 is 6 ; the total fee revenue of adjusted change 00-01 ( 3 ) is 8 ;"]]}, "answers": ["6.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000768", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in total fee revenue in 2001?\nReference time interval: 2001-01-01 00:00:00 to 2002-01-01 00:00:00", "chosen": "6.3%.", "rejected": "15.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what is the growth rate in total fee revenue <TIME>?", "doc_prefix": "STT", "base_question": "what is the growth rate in total fee revenue <TIME>?", "original_question": "what is the growth rate in total fee revenue in 2001?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "2001", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15.3%": [{"start": "2000-01-01 00:00:00", "end": "2001-01-01 00:00:00", "normalized_text": "2000"}], "6.3%": [{"start": "2001-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "2001"}]}, "chosen_source": {"id": "STT/2001/page_36.pdf-2", "qa": {"question": "what is the growth rate in total fee revenue in 2001?", "answer": "6.3%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2832", "arg2": "2665", "res": "167"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2665", "res": "6.3%"}], "program": "subtract(2832, 2665), divide(#0, 2665)", "gold_inds": {"table_5": "( dollars in millions ) the total fee revenue of 2001 ( 1 ) is $ 2832 ; the total fee revenue of 2000 is $ 2665 ; the total fee revenue of 1999 ( 2 ) is $ 2312 ; the total fee revenue of change 00-01 is 6 ; the total fee revenue of adjusted change 00-01 ( 3 ) is 8 ;"}, "exe_ans": 0.06266, "tfidftopn": {"text_6": "adjusted for the formation of citistreet , the growth in fee revenue was 8% ( 8 % ) .", "text_5": "fee revenue total operating fee revenuewas $ 2.8 billion in 2001 , compared to $ 2.7 billion in 2000 , an increase of 6% ( 6 % ) ."}, "program_re": "divide(subtract(2832, 2665), 2665)", "model_input": [["text_5", "fee revenue total operating fee revenuewas $ 2.8 billion in 2001 , compared to $ 2.7 billion in 2000 , an increase of 6% ( 6 % ) ."], ["text_6", "adjusted for the formation of citistreet , the growth in fee revenue was 8% ( 8 % ) ."], ["table_5", "( dollars in millions ) the total fee revenue of 2001 ( 1 ) is $ 2832 ; the total fee revenue of 2000 is $ 2665 ; the total fee revenue of 1999 ( 2 ) is $ 2312 ; the total fee revenue of change 00-01 is 6 ; the total fee revenue of adjusted change 00-01 ( 3 ) is 8 ;"]]}, "answers": ["6.3%"]}, "rejected_source": {"id": "STT/2001/page_36.pdf-4", "qa": {"question": "what is the growth rate in total fee revenue in 2000?", "answer": "15.3%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2665", "arg2": "2312", "res": "353"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2312", "res": "15.3%"}], "program": "subtract(2665, 2312), divide(#0, 2312)", "gold_inds": {"table_5": "( dollars in millions ) the total fee revenue of 2001 ( 1 ) is $ 2832 ; the total fee revenue of 2000 is $ 2665 ; the total fee revenue of 1999 ( 2 ) is $ 2312 ; the total fee revenue of change 00-01 is 6 ; the total fee revenue of adjusted change 00-01 ( 3 ) is 8 ;"}, "exe_ans": 0.15268, "tfidftopn": {"text_6": "adjusted for the formation of citistreet , the growth in fee revenue was 8% ( 8 % ) .", "text_5": "fee revenue total operating fee revenuewas $ 2.8 billion in 2001 , compared to $ 2.7 billion in 2000 , an increase of 6% ( 6 % ) ."}, "program_re": "divide(subtract(2665, 2312), 2312)", "model_input": [["text_5", "fee revenue total operating fee revenuewas $ 2.8 billion in 2001 , compared to $ 2.7 billion in 2000 , an increase of 6% ( 6 % ) ."], ["text_13", "state street estimates , based on a study conducted in 2000 , that a 10% ( 10 % ) increase or decrease in worldwide equity values would cause a corresponding change in state street 2019s total revenue of approximately 2% ( 2 % ) ."], ["table_5", "( dollars in millions ) the total fee revenue of 2001 ( 1 ) is $ 2832 ; the total fee revenue of 2000 is $ 2665 ; the total fee revenue of 1999 ( 2 ) is $ 2312 ; the total fee revenue of change 00-01 is 6 ; the total fee revenue of adjusted change 00-01 ( 3 ) is 8 ;"]]}, "answers": ["15.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000769", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for space systems in 2001?\nReference time interval: 2001-01-01 00:00:00 to 2002-01-01 00:00:00", "chosen": "5.2%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the operating margin for space systems <TIME>?", "doc_prefix": "LMT", "base_question": "what was the operating margin for space systems <TIME>?", "original_question": "what was the operating margin for space systems in 2001?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "2001", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2001-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "2001"}], "6%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}]}, "chosen_source": {"id": "LMT/2002/page_33.pdf-4", "qa": {"question": "what was the operating margin for space systems in 2001?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "360", "arg2": "6836", "res": "5.2%"}], "program": "divide(360, 6836)", "gold_inds": {"table_1": "( in millions ) the net sales of 2002 is $ 7384 ; the net sales of 2001 is $ 6836 ; the net sales of 2000 is $ 7339 ;", "table_2": "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"}, "exe_ans": 0.05266, "tfidftopn": {"text_1": "net sales for space systems increased by 8% ( 8 % ) in 2002 compared to 2001 ."}, "program_re": "divide(360, 6836)", "model_input": [["text_0", "lockheed martin corporation management 2019s discussion and analysis of financial condition and results of operations december 31 , 2002 space systems space systems 2019 operating results included the following : ( in millions ) 2002 2001 2000 ."], ["table_1", "( in millions ) the net sales of 2002 is $ 7384 ; the net sales of 2001 is $ 6836 ; the net sales of 2000 is $ 7339 ;"], ["table_2", "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"]]}, "answers": ["5.2%"]}, "rejected_source": {"id": "LMT/2002/page_33.pdf-3", "qa": {"question": "what was the operating margin for space systems in 2002?", "answer": "6%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "443", "arg2": "7384", "res": "6%"}], "program": "divide(443, 7384)", "gold_inds": {"table_1": "( in millions ) the net sales of 2002 is $ 7384 ; the net sales of 2001 is $ 6836 ; the net sales of 2000 is $ 7339 ;", "table_2": "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"}, "exe_ans": 0.05999, "tfidftopn": {"text_1": "net sales for space systems increased by 8% ( 8 % ) in 2002 compared to 2001 ."}, "program_re": "divide(443, 7384)", "model_input": [["text_0", "lockheed martin corporation management 2019s discussion and analysis of financial condition and results of operations december 31 , 2002 space systems space systems 2019 operating results included the following : ( in millions ) 2002 2001 2000 ."], ["table_1", "( in millions ) the net sales of 2002 is $ 7384 ; the net sales of 2001 is $ 6836 ; the net sales of 2000 is $ 7339 ;"], ["table_2", "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000770", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for space systems in 2002?\nReference time interval: 2002-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "6%.", "rejected": "5.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the operating margin for space systems <TIME>?", "doc_prefix": "LMT", "base_question": "what was the operating margin for space systems <TIME>?", "original_question": "what was the operating margin for space systems in 2002?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.2%": [{"start": "2001-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "2001"}], "6%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}]}, "chosen_source": {"id": "LMT/2002/page_33.pdf-3", "qa": {"question": "what was the operating margin for space systems in 2002?", "answer": "6%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "443", "arg2": "7384", "res": "6%"}], "program": "divide(443, 7384)", "gold_inds": {"table_1": "( in millions ) the net sales of 2002 is $ 7384 ; the net sales of 2001 is $ 6836 ; the net sales of 2000 is $ 7339 ;", "table_2": "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"}, "exe_ans": 0.05999, "tfidftopn": {"text_1": "net sales for space systems increased by 8% ( 8 % ) in 2002 compared to 2001 ."}, "program_re": "divide(443, 7384)", "model_input": [["text_0", "lockheed martin corporation management 2019s discussion and analysis of financial condition and results of operations december 31 , 2002 space systems space systems 2019 operating results included the following : ( in millions ) 2002 2001 2000 ."], ["table_1", "( in millions ) the net sales of 2002 is $ 7384 ; the net sales of 2001 is $ 6836 ; the net sales of 2000 is $ 7339 ;"], ["table_2", "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "LMT/2002/page_33.pdf-4", "qa": {"question": "what was the operating margin for space systems in 2001?", "answer": "5.2%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "360", "arg2": "6836", "res": "5.2%"}], "program": "divide(360, 6836)", "gold_inds": {"table_1": "( in millions ) the net sales of 2002 is $ 7384 ; the net sales of 2001 is $ 6836 ; the net sales of 2000 is $ 7339 ;", "table_2": "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"}, "exe_ans": 0.05266, "tfidftopn": {"text_1": "net sales for space systems increased by 8% ( 8 % ) in 2002 compared to 2001 ."}, "program_re": "divide(360, 6836)", "model_input": [["text_0", "lockheed martin corporation management 2019s discussion and analysis of financial condition and results of operations december 31 , 2002 space systems space systems 2019 operating results included the following : ( in millions ) 2002 2001 2000 ."], ["table_1", "( in millions ) the net sales of 2002 is $ 7384 ; the net sales of 2001 is $ 6836 ; the net sales of 2000 is $ 7339 ;"], ["table_2", "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"]]}, "answers": ["5.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000771", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the annual interest expense related to the series first mortgage bonds due august 2008 , in millions?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "1.2.", "rejected": "16.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the annual interest expense related to the series first mortgage bonds due august <TIME> , in millions?", "doc_prefix": "ETR", "base_question": "what is the annual interest expense related to the series first mortgage bonds due august <TIME> , in millions?", "original_question": "what is the annual interest expense related to the series first mortgage bonds due august 2008 , in millions?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.2": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "16.2": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "ETR/2004/page_261.pdf-2", "qa": {"question": "what is the annual interest expense related to the series first mortgage bonds due august 2008 , in millions?", "answer": "1.2", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "30", "arg2": "3.875%", "res": "1.2"}], "program": "multiply(30, 3.875%)", "gold_inds": {"text_9": "the proceeds from these issuances were used to redeem , prior to maturity , $ 30 million of 7% ( 7 % ) series first mortgage bonds due july 2008 , $ 40 million of 8% ( 8 % ) series bonds due march 2006 , and $ 30 million of 6.65% ( 6.65 % ) series first mortgage bonds due march 2004 .", "text_8": "in july 2003 , entergy new orleans issued $ 30 million of 3.875% ( 3.875 % ) series first mortgage bonds due august 2008 and $ 70 million of 5.25% ( 5.25 % ) series first mortgage bonds due august 2013 ."}, "exe_ans": 1.1625, "tfidftopn": {"text_6": "financing activities net cash used in financing activities increased $ 7.0 million in 2004 primarily due to the costs and expenses related to refinancing $ 75 million of long-term debt in 2004 and an increase of $ 2.2 million in common stock dividends paid ."}, "program_re": "multiply(30, 3.875%)", "model_input": [["table_2", "2004 the $ 1413 of 2003 is $ 1783 ; the $ 1413 of 2002 is $ 3500 ; the $ 1413 of 2001 is $ 9208 ;"], ["text_8", "in july 2003 , entergy new orleans issued $ 30 million of 3.875% ( 3.875 % ) series first mortgage bonds due august 2008 and $ 70 million of 5.25% ( 5.25 % ) series first mortgage bonds due august 2013 ."], ["text_9", "the proceeds from these issuances were used to redeem , prior to maturity , $ 30 million of 7% ( 7 % ) series first mortgage bonds due july 2008 , $ 40 million of 8% ( 8 % ) series bonds due march 2006 , and $ 30 million of 6.65% ( 6.65 % ) series first mortgage bonds due march 2004 ."]]}, "answers": ["1.2"]}, "rejected_source": {"id": "ETR/2008/page_272.pdf-1", "qa": {"question": "what is the annual interest expense related to the series first mortgage bonds due august 2013 , in millions?", "answer": "16.2", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17], "steps": [{"op": "multiply1-1", "arg1": "300", "arg2": "5.40%", "res": "16.2"}], "program": "multiply(300, 5.40%)", "gold_inds": {"text_17": "in july 2008 , entergy arkansas issued $ 300 million of 5.40% ( 5.40 % ) series first mortgage bonds due august 2013 ."}, "exe_ans": 16.2, "tfidftopn": {"text_0": "entergy arkansas , inc .", "text_1": "management's financial discussion and analysis financing alternatives for any such spending , and future spending estimates could change based on the results of this continuing analysis ."}, "program_re": "multiply(300, 5.40%)", "model_input": [["text_17", "in july 2008 , entergy arkansas issued $ 300 million of 5.40% ( 5.40 % ) series first mortgage bonds due august 2013 ."], ["text_18", "entergy arkansas used a portion of the net proceeds to fund the purchase of the ouachita power plant on september 30 , 2008 , and the remaining net proceeds will be used to fund improvements relating to the ouachita power plant and for general corporate purposes ."], ["text_21", "see note 4 to the financial statements for a description of the money pool. ."]]}, "answers": ["16.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000772", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the annual interest expense related to the series first mortgage bonds due august 2013 , in millions?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "16.2.", "rejected": "1.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the annual interest expense related to the series first mortgage bonds due august <TIME> , in millions?", "doc_prefix": "ETR", "base_question": "what is the annual interest expense related to the series first mortgage bonds due august <TIME> , in millions?", "original_question": "what is the annual interest expense related to the series first mortgage bonds due august 2013 , in millions?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.2": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "16.2": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "ETR/2008/page_272.pdf-1", "qa": {"question": "what is the annual interest expense related to the series first mortgage bonds due august 2013 , in millions?", "answer": "16.2", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17], "steps": [{"op": "multiply1-1", "arg1": "300", "arg2": "5.40%", "res": "16.2"}], "program": "multiply(300, 5.40%)", "gold_inds": {"text_17": "in july 2008 , entergy arkansas issued $ 300 million of 5.40% ( 5.40 % ) series first mortgage bonds due august 2013 ."}, "exe_ans": 16.2, "tfidftopn": {"text_0": "entergy arkansas , inc .", "text_1": "management's financial discussion and analysis financing alternatives for any such spending , and future spending estimates could change based on the results of this continuing analysis ."}, "program_re": "multiply(300, 5.40%)", "model_input": [["text_17", "in july 2008 , entergy arkansas issued $ 300 million of 5.40% ( 5.40 % ) series first mortgage bonds due august 2013 ."], ["text_18", "entergy arkansas used a portion of the net proceeds to fund the purchase of the ouachita power plant on september 30 , 2008 , and the remaining net proceeds will be used to fund improvements relating to the ouachita power plant and for general corporate purposes ."], ["text_21", "see note 4 to the financial statements for a description of the money pool. ."]]}, "answers": ["16.2"]}, "rejected_source": {"id": "ETR/2004/page_261.pdf-2", "qa": {"question": "what is the annual interest expense related to the series first mortgage bonds due august 2008 , in millions?", "answer": "1.2", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "30", "arg2": "3.875%", "res": "1.2"}], "program": "multiply(30, 3.875%)", "gold_inds": {"text_9": "the proceeds from these issuances were used to redeem , prior to maturity , $ 30 million of 7% ( 7 % ) series first mortgage bonds due july 2008 , $ 40 million of 8% ( 8 % ) series bonds due march 2006 , and $ 30 million of 6.65% ( 6.65 % ) series first mortgage bonds due march 2004 .", "text_8": "in july 2003 , entergy new orleans issued $ 30 million of 3.875% ( 3.875 % ) series first mortgage bonds due august 2008 and $ 70 million of 5.25% ( 5.25 % ) series first mortgage bonds due august 2013 ."}, "exe_ans": 1.1625, "tfidftopn": {"text_6": "financing activities net cash used in financing activities increased $ 7.0 million in 2004 primarily due to the costs and expenses related to refinancing $ 75 million of long-term debt in 2004 and an increase of $ 2.2 million in common stock dividends paid ."}, "program_re": "multiply(30, 3.875%)", "model_input": [["table_2", "2004 the $ 1413 of 2003 is $ 1783 ; the $ 1413 of 2002 is $ 3500 ; the $ 1413 of 2001 is $ 9208 ;"], ["text_8", "in july 2003 , entergy new orleans issued $ 30 million of 3.875% ( 3.875 % ) series first mortgage bonds due august 2008 and $ 70 million of 5.25% ( 5.25 % ) series first mortgage bonds due august 2013 ."], ["text_9", "the proceeds from these issuances were used to redeem , prior to maturity , $ 30 million of 7% ( 7 % ) series first mortgage bonds due july 2008 , $ 40 million of 8% ( 8 % ) series bonds due march 2006 , and $ 30 million of 6.65% ( 6.65 % ) series first mortgage bonds due march 2004 ."]]}, "answers": ["1.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000773", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total other current assets in 2007 was comprised of nand flash memory prepayments?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "11%.", "rejected": "9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what percentage of total other current assets <TIME> was comprised of nand flash memory prepayments?", "doc_prefix": "AAPL", "base_question": "what percentage of total other current assets <TIME> was comprised of nand flash memory prepayments?", "original_question": "what percentage of total other current assets in 2007 was comprised of nand flash memory prepayments?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "11%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "AAPL/2007/page_72.pdf-3", "qa": {"question": "what percentage of total other current assets in 2007 was comprised of nand flash memory prepayments?", "answer": "11%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "417", "arg2": "3805", "res": "11%"}], "program": "divide(417, 3805)", "gold_inds": {"table_2": "the nand flash memory prepayments of 2007 is 417 ; the nand flash memory prepayments of 2006 is 208 ;", "table_4": "the total other current assets of 2007 is $ 3805 ; the total other current assets of 2006 is $ 2270 ;"}, "exe_ans": 0.10959, "tfidftopn": {"table_3": "The other current assets of 2007 is 996 ; The other current assets of 2006 is 469 ;"}, "program_re": "divide(417, 3805)", "model_input": [["table_2", "the nand flash memory prepayments of 2007 is 417 ; the nand flash memory prepayments of 2006 is 208 ;"], ["table_3", "the other current assets of 2007 is 996 ; the other current assets of 2006 is 469 ;"], ["table_4", "the total other current assets of 2007 is $ 3805 ; the total other current assets of 2006 is $ 2270 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "AAPL/2007/page_72.pdf-1", "qa": {"question": "what percentage of total other current assets in 2006 was comprised of nand flash memory prepayments?", "answer": "9%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "208", "arg2": "2270", "res": "9%"}], "program": "divide(208, 2270)", "gold_inds": {"table_2": "the nand flash memory prepayments of 2007 is 417 ; the nand flash memory prepayments of 2006 is 208 ;", "table_4": "the total other current assets of 2007 is $ 3805 ; the total other current assets of 2006 is $ 2270 ;"}, "exe_ans": 0.09163, "tfidftopn": {"table_3": "The other current assets of 2007 is 996 ; The other current assets of 2006 is 469 ;"}, "program_re": "divide(208, 2270)", "model_input": [["table_2", "the nand flash memory prepayments of 2007 is 417 ; the nand flash memory prepayments of 2006 is 208 ;"], ["table_3", "the other current assets of 2007 is 996 ; the other current assets of 2006 is 469 ;"], ["table_4", "the total other current assets of 2007 is $ 3805 ; the total other current assets of 2006 is $ 2270 ;"]]}, "answers": ["9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000774", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total other current assets in 2006 was comprised of nand flash memory prepayments?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "9%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what percentage of total other current assets <TIME> was comprised of nand flash memory prepayments?", "doc_prefix": "AAPL", "base_question": "what percentage of total other current assets <TIME> was comprised of nand flash memory prepayments?", "original_question": "what percentage of total other current assets in 2006 was comprised of nand flash memory prepayments?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "11%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "AAPL/2007/page_72.pdf-1", "qa": {"question": "what percentage of total other current assets in 2006 was comprised of nand flash memory prepayments?", "answer": "9%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "208", "arg2": "2270", "res": "9%"}], "program": "divide(208, 2270)", "gold_inds": {"table_2": "the nand flash memory prepayments of 2007 is 417 ; the nand flash memory prepayments of 2006 is 208 ;", "table_4": "the total other current assets of 2007 is $ 3805 ; the total other current assets of 2006 is $ 2270 ;"}, "exe_ans": 0.09163, "tfidftopn": {"table_3": "The other current assets of 2007 is 996 ; The other current assets of 2006 is 469 ;"}, "program_re": "divide(208, 2270)", "model_input": [["table_2", "the nand flash memory prepayments of 2007 is 417 ; the nand flash memory prepayments of 2006 is 208 ;"], ["table_3", "the other current assets of 2007 is 996 ; the other current assets of 2006 is 469 ;"], ["table_4", "the total other current assets of 2007 is $ 3805 ; the total other current assets of 2006 is $ 2270 ;"]]}, "answers": ["9%"]}, "rejected_source": {"id": "AAPL/2007/page_72.pdf-3", "qa": {"question": "what percentage of total other current assets in 2007 was comprised of nand flash memory prepayments?", "answer": "11%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "417", "arg2": "3805", "res": "11%"}], "program": "divide(417, 3805)", "gold_inds": {"table_2": "the nand flash memory prepayments of 2007 is 417 ; the nand flash memory prepayments of 2006 is 208 ;", "table_4": "the total other current assets of 2007 is $ 3805 ; the total other current assets of 2006 is $ 2270 ;"}, "exe_ans": 0.10959, "tfidftopn": {"table_3": "The other current assets of 2007 is 996 ; The other current assets of 2006 is 469 ;"}, "program_re": "divide(417, 3805)", "model_input": [["table_2", "the nand flash memory prepayments of 2007 is 417 ; the nand flash memory prepayments of 2006 is 208 ;"], ["table_3", "the other current assets of 2007 is 996 ; the other current assets of 2006 is 469 ;"], ["table_4", "the total other current assets of 2007 is $ 3805 ; the total other current assets of 2006 is $ 2270 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000775", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-46.44%.", "rejected": "33.81%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"33.81%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-46.44%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "DISCA/2018/page_39.pdf-1", "qa": {"question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , 2018?", "answer": "-46.44%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "53.56", "arg2": "const_100", "res": "-46.44"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "-46.44%"}], "program": "subtract(53.56, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of december 312013 is $ 100.00 ; the disca of december 312014 is $ 74.58 ; the disca of december 312015 is $ 57.76 ; the disca of december 312016 is $ 59.34 ; the disca of december 312017 is $ 48.45 ; the disca of december 312018 is $ 53.56 ;"}, "exe_ans": -0.4644, "tfidftopn": {"text_12": "december 31 , december 31 , december 31 , december 31 , december 31 , december 31 .", "text_11": "and excluding both acquired companies for the entire five year period ."}, "program_re": "divide(subtract(53.56, const_100), const_100)", "model_input": [["text_6", "the graph assumes $ 100 originally invested on december 31 , 2013 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2014 , 2015 , 2016 , 2017 and 2018 ."], ["table_1", "the disca of december 312013 is $ 100.00 ; the disca of december 312014 is $ 74.58 ; the disca of december 312015 is $ 57.76 ; the disca of december 312016 is $ 59.34 ; the disca of december 312017 is $ 48.45 ; the disca of december 312018 is $ 53.56 ;"], ["table_2", "the discb of december 312013 is $ 100.00 ; the discb of december 312014 is $ 80.56 ; the discb of december 312015 is $ 58.82 ; the discb of december 312016 is $ 63.44 ; the discb of december 312017 is $ 53.97 ; the discb of december 312018 is $ 72.90 ;"]]}, "answers": ["-46.44%"]}, "rejected_source": {"id": "DISCA/2016/page_30.pdf-3", "qa": {"question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , 2016?", "answer": "33.81%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "133.81", "arg2": "const_100", "res": "33.81"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "33.81%"}], "program": "subtract(133.81, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of december 312011 is $ 100.00 ; the disca of december 312012 is $ 154.94 ; the disca of december 312013 is $ 220.70 ; the disca of december 312014 is $ 168.17 ; the disca of december 312015 is $ 130.24 ; the disca of december 312016 is $ 133.81 ;"}, "exe_ans": 0.3381, "tfidftopn": {"text_0": "december 31 , december 31 , december 31 , december 31 , december 31 , december 31 .", "text_6": "the selected statement of operations information for each of the two years ended december 31 , 2013 and 2012 and the selected balance sheet information as of december 31 , 2014 , 2013 and 2012 have been derived from financial statements not included in this annual report on form 10-k ."}, "program_re": "divide(subtract(133.81, const_100), const_100)", "model_input": [["table_1", "the disca of december 312011 is $ 100.00 ; the disca of december 312012 is $ 154.94 ; the disca of december 312013 is $ 220.70 ; the disca of december 312014 is $ 168.17 ; the disca of december 312015 is $ 130.24 ; the disca of december 312016 is $ 133.81 ;"], ["table_2", "the discb of december 312011 is $ 100.00 ; the discb of december 312012 is $ 150.40 ; the discb of december 312013 is $ 217.35 ; the discb of december 312014 is $ 175.04 ; the discb of december 312015 is $ 127.80 ; the discb of december 312016 is $ 137.83 ;"], ["table_4", "the s&p 500 of december 312011 is $ 100.00 ; the s&p 500 of december 312012 is $ 113.41 ; the s&p 500 of december 312013 is $ 146.98 ; the s&p 500 of december 312014 is $ 163.72 ; the s&p 500 of december 312015 is $ 162.53 ; the s&p 500 of december 312016 is $ 178.02 ;"]]}, "answers": ["33.81%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000776", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "33.81%.", "rejected": "-46.44%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"33.81%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-46.44%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "DISCA/2016/page_30.pdf-3", "qa": {"question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , 2016?", "answer": "33.81%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "133.81", "arg2": "const_100", "res": "33.81"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "33.81%"}], "program": "subtract(133.81, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of december 312011 is $ 100.00 ; the disca of december 312012 is $ 154.94 ; the disca of december 312013 is $ 220.70 ; the disca of december 312014 is $ 168.17 ; the disca of december 312015 is $ 130.24 ; the disca of december 312016 is $ 133.81 ;"}, "exe_ans": 0.3381, "tfidftopn": {"text_0": "december 31 , december 31 , december 31 , december 31 , december 31 , december 31 .", "text_6": "the selected statement of operations information for each of the two years ended december 31 , 2013 and 2012 and the selected balance sheet information as of december 31 , 2014 , 2013 and 2012 have been derived from financial statements not included in this annual report on form 10-k ."}, "program_re": "divide(subtract(133.81, const_100), const_100)", "model_input": [["table_1", "the disca of december 312011 is $ 100.00 ; the disca of december 312012 is $ 154.94 ; the disca of december 312013 is $ 220.70 ; the disca of december 312014 is $ 168.17 ; the disca of december 312015 is $ 130.24 ; the disca of december 312016 is $ 133.81 ;"], ["table_2", "the discb of december 312011 is $ 100.00 ; the discb of december 312012 is $ 150.40 ; the discb of december 312013 is $ 217.35 ; the discb of december 312014 is $ 175.04 ; the discb of december 312015 is $ 127.80 ; the discb of december 312016 is $ 137.83 ;"], ["table_4", "the s&p 500 of december 312011 is $ 100.00 ; the s&p 500 of december 312012 is $ 113.41 ; the s&p 500 of december 312013 is $ 146.98 ; the s&p 500 of december 312014 is $ 163.72 ; the s&p 500 of december 312015 is $ 162.53 ; the s&p 500 of december 312016 is $ 178.02 ;"]]}, "answers": ["33.81%"]}, "rejected_source": {"id": "DISCA/2018/page_39.pdf-1", "qa": {"question": "what was the percentage cumulative total shareholder return on disca for the five year period ended december 31 , 2018?", "answer": "-46.44%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "53.56", "arg2": "const_100", "res": "-46.44"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "-46.44%"}], "program": "subtract(53.56, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of december 312013 is $ 100.00 ; the disca of december 312014 is $ 74.58 ; the disca of december 312015 is $ 57.76 ; the disca of december 312016 is $ 59.34 ; the disca of december 312017 is $ 48.45 ; the disca of december 312018 is $ 53.56 ;"}, "exe_ans": -0.4644, "tfidftopn": {"text_12": "december 31 , december 31 , december 31 , december 31 , december 31 , december 31 .", "text_11": "and excluding both acquired companies for the entire five year period ."}, "program_re": "divide(subtract(53.56, const_100), const_100)", "model_input": [["text_6", "the graph assumes $ 100 originally invested on december 31 , 2013 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2014 , 2015 , 2016 , 2017 and 2018 ."], ["table_1", "the disca of december 312013 is $ 100.00 ; the disca of december 312014 is $ 74.58 ; the disca of december 312015 is $ 57.76 ; the disca of december 312016 is $ 59.34 ; the disca of december 312017 is $ 48.45 ; the disca of december 312018 is $ 53.56 ;"], ["table_2", "the discb of december 312013 is $ 100.00 ; the discb of december 312014 is $ 80.56 ; the discb of december 312015 is $ 58.82 ; the discb of december 312016 is $ 63.44 ; the discb of december 312017 is $ 53.97 ; the discb of december 312018 is $ 72.90 ;"]]}, "answers": ["-46.44%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000777", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the debt-to-asset ratio in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "2.5%.", "rejected": "2.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the debt-to-asset ratio <TIME>?", "doc_prefix": "GS", "base_question": "what is the debt-to-asset ratio <TIME>?", "original_question": "what is the debt-to-asset ratio in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.5%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "2.7%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_64.pdf-2", "qa": {"question": "what is the debt-to-asset ratio in 2011?", "answer": "2.5%", "explanation": "", "ann_table_rows": [11, 16], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "23311", "arg2": "923225", "res": "2.5%"}], "program": "divide(23311, 923225)", "gold_inds": {"table_11": "in millions the debt of as of december 2012 is 25386 ; the debt of as of december 2011 is 23311 ;", "table_16": "in millions the total assets of as of december 2012 is $ 938555 ; the total assets of as of december 2011 is $ 923225 ;"}, "exe_ans": 0.02525, "tfidftopn": {"text_10": "we also consider any potential future constraints , such as limits on our ability to grow our asset base in the absence of appropriate funding ."}, "program_re": "divide(23311, 923225)", "model_input": [["text_15", "the table below presents a summary of this balance sheet allocation. ."], ["table_11", "in millions the debt of as of december 2012 is 25386 ; the debt of as of december 2011 is 23311 ;"], ["table_16", "in millions the total assets of as of december 2012 is $ 938555 ; the total assets of as of december 2011 is $ 923225 ;"]]}, "answers": ["2.5%"]}, "rejected_source": {"id": "GS/2012/page_64.pdf-1", "qa": {"question": "what is the debt-to-asset ratio in 2012?", "answer": "2.7%", "explanation": "", "ann_table_rows": [11, 16], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "25386", "arg2": "938555", "res": "2.7%"}], "program": "divide(25386, 938555)", "gold_inds": {"table_11": "in millions the debt of as of december 2012 is 25386 ; the debt of as of december 2011 is 23311 ;", "table_16": "in millions the total assets of as of december 2012 is $ 938555 ; the total assets of as of december 2011 is $ 923225 ;"}, "exe_ans": 0.02705, "tfidftopn": {"text_10": "we also consider any potential future constraints , such as limits on our ability to grow our asset base in the absence of appropriate funding ."}, "program_re": "divide(25386, 938555)", "model_input": [["text_15", "the table below presents a summary of this balance sheet allocation. ."], ["table_11", "in millions the debt of as of december 2012 is 25386 ; the debt of as of december 2011 is 23311 ;"], ["table_16", "in millions the total assets of as of december 2012 is $ 938555 ; the total assets of as of december 2011 is $ 923225 ;"]]}, "answers": ["2.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000778", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the debt-to-asset ratio in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "2.7%.", "rejected": "2.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the debt-to-asset ratio <TIME>?", "doc_prefix": "GS", "base_question": "what is the debt-to-asset ratio <TIME>?", "original_question": "what is the debt-to-asset ratio in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.5%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "2.7%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_64.pdf-1", "qa": {"question": "what is the debt-to-asset ratio in 2012?", "answer": "2.7%", "explanation": "", "ann_table_rows": [11, 16], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "25386", "arg2": "938555", "res": "2.7%"}], "program": "divide(25386, 938555)", "gold_inds": {"table_11": "in millions the debt of as of december 2012 is 25386 ; the debt of as of december 2011 is 23311 ;", "table_16": "in millions the total assets of as of december 2012 is $ 938555 ; the total assets of as of december 2011 is $ 923225 ;"}, "exe_ans": 0.02705, "tfidftopn": {"text_10": "we also consider any potential future constraints , such as limits on our ability to grow our asset base in the absence of appropriate funding ."}, "program_re": "divide(25386, 938555)", "model_input": [["text_15", "the table below presents a summary of this balance sheet allocation. ."], ["table_11", "in millions the debt of as of december 2012 is 25386 ; the debt of as of december 2011 is 23311 ;"], ["table_16", "in millions the total assets of as of december 2012 is $ 938555 ; the total assets of as of december 2011 is $ 923225 ;"]]}, "answers": ["2.7%"]}, "rejected_source": {"id": "GS/2012/page_64.pdf-2", "qa": {"question": "what is the debt-to-asset ratio in 2011?", "answer": "2.5%", "explanation": "", "ann_table_rows": [11, 16], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "23311", "arg2": "923225", "res": "2.5%"}], "program": "divide(23311, 923225)", "gold_inds": {"table_11": "in millions the debt of as of december 2012 is 25386 ; the debt of as of december 2011 is 23311 ;", "table_16": "in millions the total assets of as of december 2012 is $ 938555 ; the total assets of as of december 2011 is $ 923225 ;"}, "exe_ans": 0.02525, "tfidftopn": {"text_10": "we also consider any potential future constraints , such as limits on our ability to grow our asset base in the absence of appropriate funding ."}, "program_re": "divide(23311, 923225)", "model_input": [["text_15", "the table below presents a summary of this balance sheet allocation. ."], ["table_11", "in millions the debt of as of december 2012 is 25386 ; the debt of as of december 2011 is 23311 ;"], ["table_16", "in millions the total assets of as of december 2012 is $ 938555 ; the total assets of as of december 2011 is $ 923225 ;"]]}, "answers": ["2.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000779", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter are due in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "13%.", "rejected": "17%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , <TIME> , and thereafter are due <TIME>?", "doc_prefix": "FIS", "base_question": "what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , <TIME> , and thereafter are due <TIME>?", "original_question": "what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter are due in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "13%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "FIS/2010/page_89.pdf-3", "qa": {"question": "what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter are due in 2013?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "35.7", "arg2": "278.6", "res": "13%"}], "program": "divide(35.7, 278.6)", "gold_inds": {"table_2": "2011 the 2013 of $ 65.1 is 35.7 ;", "table_6": "2011 the total of $ 65.1 is $ 278.6 ;"}, "exe_ans": 0.12814, "tfidftopn": {"text_0": "future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter in the aggregate , are as follows ( in millions ) : ."}, "program_re": "divide(35.7, 278.6)", "model_input": [["table_2", "2011 the 2013 of $ 65.1 is 35.7 ;"], ["table_5", "2011 the thereafter of $ 65.1 is 78.1 ;"], ["table_6", "2011 the total of $ 65.1 is $ 278.6 ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "FIS/2010/page_89.pdf-4", "qa": {"question": "what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter are due in 2012?", "answer": "17%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "47.6", "arg2": "278.6", "res": "17%"}], "program": "divide(47.6, 278.6)", "gold_inds": {"table_1": "2011 the 2012 of $ 65.1 is 47.6 ;", "table_6": "2011 the total of $ 65.1 is $ 278.6 ;"}, "exe_ans": 0.17085, "tfidftopn": {"text_0": "future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter in the aggregate , are as follows ( in millions ) : ."}, "program_re": "divide(47.6, 278.6)", "model_input": [["table_1", "2011 the 2012 of $ 65.1 is 47.6 ;"], ["table_5", "2011 the thereafter of $ 65.1 is 78.1 ;"], ["table_6", "2011 the total of $ 65.1 is $ 278.6 ;"]]}, "answers": ["17%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000780", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter are due in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "17%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , <TIME> , and thereafter are due <TIME>?", "doc_prefix": "FIS", "base_question": "what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , <TIME> , and thereafter are due <TIME>?", "original_question": "what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter are due in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "13%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "FIS/2010/page_89.pdf-4", "qa": {"question": "what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter are due in 2012?", "answer": "17%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "47.6", "arg2": "278.6", "res": "17%"}], "program": "divide(47.6, 278.6)", "gold_inds": {"table_1": "2011 the 2012 of $ 65.1 is 47.6 ;", "table_6": "2011 the total of $ 65.1 is $ 278.6 ;"}, "exe_ans": 0.17085, "tfidftopn": {"text_0": "future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter in the aggregate , are as follows ( in millions ) : ."}, "program_re": "divide(47.6, 278.6)", "model_input": [["table_1", "2011 the 2012 of $ 65.1 is 47.6 ;"], ["table_5", "2011 the thereafter of $ 65.1 is 78.1 ;"], ["table_6", "2011 the total of $ 65.1 is $ 278.6 ;"]]}, "answers": ["17%"]}, "rejected_source": {"id": "FIS/2010/page_89.pdf-3", "qa": {"question": "what percentage of future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter are due in 2013?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "35.7", "arg2": "278.6", "res": "13%"}], "program": "divide(35.7, 278.6)", "gold_inds": {"table_2": "2011 the 2013 of $ 65.1 is 35.7 ;", "table_6": "2011 the total of $ 65.1 is $ 278.6 ;"}, "exe_ans": 0.12814, "tfidftopn": {"text_0": "future minimum operating lease payments for leases with remaining terms greater than one year for each of the years in the five years ending december 31 , 2015 , and thereafter in the aggregate , are as follows ( in millions ) : ."}, "program_re": "divide(35.7, 278.6)", "model_input": [["table_2", "2011 the 2013 of $ 65.1 is 35.7 ;"], ["table_5", "2011 the thereafter of $ 65.1 is 78.1 ;"], ["table_6", "2011 the total of $ 65.1 is $ 278.6 ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000781", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net number of stores that opened during 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "105.", "rejected": "91.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAP || what is the net number of stores that opened <TIME>?", "doc_prefix": "AAP", "base_question": "what is the net number of stores that opened <TIME>?", "original_question": "what is the net number of stores that opened during 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"105": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "91": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "AAP/2011/page_16.pdf-2", "qa": {"question": "what is the net number of stores that opened during 2010?", "answer": "105", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "110", "arg2": "const_5", "res": "105"}], "program": "subtract(110, const_5)", "gold_inds": {"table_1": "the beginning stores of 2011 is 3369 ; the beginning stores of 2010 is 3264 ; the beginning stores of 2009 is 3243 ; the beginning stores of 2008 is 3153 ; the beginning stores of 2007 is 2995 ;", "table_2": "the new stores ( 1 ) of 2011 is 95 ; the new stores ( 1 ) of 2010 is 110 ; the new stores ( 1 ) of 2009 is 75 ; the new stores ( 1 ) of 2008 is 109 ; the new stores ( 1 ) of 2007 is 175 ;"}, "exe_ans": 105.0, "tfidftopn": {"text_0": "the following table sets forth information concerning increases in the total number of our aap stores during the past five years : beginning stores new stores ( 1 ) stores closed ending stores ( 1 ) does not include stores that opened as relocations of previously existing stores within the same general market area or substantial renovations of stores ."}, "program_re": "subtract(110, const_5)", "model_input": [["table_1", "the beginning stores of 2011 is 3369 ; the beginning stores of 2010 is 3264 ; the beginning stores of 2009 is 3243 ; the beginning stores of 2008 is 3153 ; the beginning stores of 2007 is 2995 ;"], ["table_2", "the new stores ( 1 ) of 2011 is 95 ; the new stores ( 1 ) of 2010 is 110 ; the new stores ( 1 ) of 2009 is 75 ; the new stores ( 1 ) of 2008 is 109 ; the new stores ( 1 ) of 2007 is 175 ;"], ["table_4", "the ending stores of 2011 is 3460 ; the ending stores of 2010 is 3369 ; the ending stores of 2009 is 3264 ; the ending stores of 2008 is 3243 ; the ending stores of 2007 is 3153 ;"]]}, "answers": ["105"]}, "rejected_source": {"id": "AAP/2011/page_16.pdf-1", "qa": {"question": "what is the net number of stores that opened during 2011?", "answer": "91", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "95", "arg2": "const_4", "res": "91"}], "program": "subtract(95, const_4)", "gold_inds": {"table_1": "the beginning stores of 2011 is 3369 ; the beginning stores of 2010 is 3264 ; the beginning stores of 2009 is 3243 ; the beginning stores of 2008 is 3153 ; the beginning stores of 2007 is 2995 ;", "table_2": "the new stores ( 1 ) of 2011 is 95 ; the new stores ( 1 ) of 2010 is 110 ; the new stores ( 1 ) of 2009 is 75 ; the new stores ( 1 ) of 2008 is 109 ; the new stores ( 1 ) of 2007 is 175 ;"}, "exe_ans": 91.0, "tfidftopn": {"text_0": "the following table sets forth information concerning increases in the total number of our aap stores during the past five years : beginning stores new stores ( 1 ) stores closed ending stores ( 1 ) does not include stores that opened as relocations of previously existing stores within the same general market area or substantial renovations of stores ."}, "program_re": "subtract(95, const_4)", "model_input": [["table_1", "the beginning stores of 2011 is 3369 ; the beginning stores of 2010 is 3264 ; the beginning stores of 2009 is 3243 ; the beginning stores of 2008 is 3153 ; the beginning stores of 2007 is 2995 ;"], ["table_2", "the new stores ( 1 ) of 2011 is 95 ; the new stores ( 1 ) of 2010 is 110 ; the new stores ( 1 ) of 2009 is 75 ; the new stores ( 1 ) of 2008 is 109 ; the new stores ( 1 ) of 2007 is 175 ;"], ["table_4", "the ending stores of 2011 is 3460 ; the ending stores of 2010 is 3369 ; the ending stores of 2009 is 3264 ; the ending stores of 2008 is 3243 ; the ending stores of 2007 is 3153 ;"]]}, "answers": ["91"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000782", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net number of stores that opened during 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "91.", "rejected": "105.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAP || what is the net number of stores that opened <TIME>?", "doc_prefix": "AAP", "base_question": "what is the net number of stores that opened <TIME>?", "original_question": "what is the net number of stores that opened during 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"105": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "91": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "AAP/2011/page_16.pdf-1", "qa": {"question": "what is the net number of stores that opened during 2011?", "answer": "91", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "95", "arg2": "const_4", "res": "91"}], "program": "subtract(95, const_4)", "gold_inds": {"table_1": "the beginning stores of 2011 is 3369 ; the beginning stores of 2010 is 3264 ; the beginning stores of 2009 is 3243 ; the beginning stores of 2008 is 3153 ; the beginning stores of 2007 is 2995 ;", "table_2": "the new stores ( 1 ) of 2011 is 95 ; the new stores ( 1 ) of 2010 is 110 ; the new stores ( 1 ) of 2009 is 75 ; the new stores ( 1 ) of 2008 is 109 ; the new stores ( 1 ) of 2007 is 175 ;"}, "exe_ans": 91.0, "tfidftopn": {"text_0": "the following table sets forth information concerning increases in the total number of our aap stores during the past five years : beginning stores new stores ( 1 ) stores closed ending stores ( 1 ) does not include stores that opened as relocations of previously existing stores within the same general market area or substantial renovations of stores ."}, "program_re": "subtract(95, const_4)", "model_input": [["table_1", "the beginning stores of 2011 is 3369 ; the beginning stores of 2010 is 3264 ; the beginning stores of 2009 is 3243 ; the beginning stores of 2008 is 3153 ; the beginning stores of 2007 is 2995 ;"], ["table_2", "the new stores ( 1 ) of 2011 is 95 ; the new stores ( 1 ) of 2010 is 110 ; the new stores ( 1 ) of 2009 is 75 ; the new stores ( 1 ) of 2008 is 109 ; the new stores ( 1 ) of 2007 is 175 ;"], ["table_4", "the ending stores of 2011 is 3460 ; the ending stores of 2010 is 3369 ; the ending stores of 2009 is 3264 ; the ending stores of 2008 is 3243 ; the ending stores of 2007 is 3153 ;"]]}, "answers": ["91"]}, "rejected_source": {"id": "AAP/2011/page_16.pdf-2", "qa": {"question": "what is the net number of stores that opened during 2010?", "answer": "105", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "110", "arg2": "const_5", "res": "105"}], "program": "subtract(110, const_5)", "gold_inds": {"table_1": "the beginning stores of 2011 is 3369 ; the beginning stores of 2010 is 3264 ; the beginning stores of 2009 is 3243 ; the beginning stores of 2008 is 3153 ; the beginning stores of 2007 is 2995 ;", "table_2": "the new stores ( 1 ) of 2011 is 95 ; the new stores ( 1 ) of 2010 is 110 ; the new stores ( 1 ) of 2009 is 75 ; the new stores ( 1 ) of 2008 is 109 ; the new stores ( 1 ) of 2007 is 175 ;"}, "exe_ans": 105.0, "tfidftopn": {"text_0": "the following table sets forth information concerning increases in the total number of our aap stores during the past five years : beginning stores new stores ( 1 ) stores closed ending stores ( 1 ) does not include stores that opened as relocations of previously existing stores within the same general market area or substantial renovations of stores ."}, "program_re": "subtract(110, const_5)", "model_input": [["table_1", "the beginning stores of 2011 is 3369 ; the beginning stores of 2010 is 3264 ; the beginning stores of 2009 is 3243 ; the beginning stores of 2008 is 3153 ; the beginning stores of 2007 is 2995 ;"], ["table_2", "the new stores ( 1 ) of 2011 is 95 ; the new stores ( 1 ) of 2010 is 110 ; the new stores ( 1 ) of 2009 is 75 ; the new stores ( 1 ) of 2008 is 109 ; the new stores ( 1 ) of 2007 is 175 ;"], ["table_4", "the ending stores of 2011 is 3460 ; the ending stores of 2010 is 3369 ; the ending stores of 2009 is 3264 ; the ending stores of 2008 is 3243 ; the ending stores of 2007 is 3153 ;"]]}, "answers": ["105"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000783", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in 401 ( k ) contributions from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-0.6%.", "rejected": "7.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the percentage change in 401 ( k ) contributions <TIME>?", "doc_prefix": "LMT", "base_question": "what is the percentage change in 401 ( k ) contributions <TIME>?", "original_question": "what is the percentage change in 401 ( k ) contributions from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-0.6%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "7.3%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "LMT/2018/page_104.pdf-2", "qa": {"question": "what is the percentage change in 401 ( k ) contributions from 2016 to 2017?", "answer": "-0.6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [29], "steps": [{"op": "minus2-1", "arg1": "613", "arg2": "617", "res": "-4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "617", "res": "-0.6%"}], "program": "subtract(613, 617), divide(#0, 617)", "gold_inds": {"text_29": "our contributions were $ 658 million in 2018 , $ 613 million in 2017 and $ 617 million in 2016 , the majority of which were funded using our common stock ."}, "exe_ans": -0.00648, "tfidftopn": {"text_28": "under the provisions of our 401 ( k ) plans , we match most employees 2019 eligible contributions at rates specified in the plan documents .", "text_25": "as a result of these contributions , we do not expect to make contributions to our qualified defined benefit pension plans in 2019 ."}, "program_re": "divide(subtract(613, 617), 617)", "model_input": [["text_25", "as a result of these contributions , we do not expect to make contributions to our qualified defined benefit pension plans in 2019 ."], ["table_1", "the qualified defined benefit pension plans of 2019 is $ 2350 ; the qualified defined benefit pension plans of 2020 is $ 2390 ; the qualified defined benefit pension plans of 2021 is $ 2470 ; the qualified defined benefit pension plans of 2022 is $ 2550 ; the qualified defined benefit pension plans of 2023 is $ 2610 ; the qualified defined benefit pension plans of 2024 2013 2028 is $ 13670 ;"], ["text_29", "our contributions were $ 658 million in 2018 , $ 613 million in 2017 and $ 617 million in 2016 , the majority of which were funded using our common stock ."]]}, "answers": ["-0.6%"]}, "rejected_source": {"id": "LMT/2018/page_104.pdf-4", "qa": {"question": "what is the percentage change in 401 ( k ) contributions from 2017 to 2018?", "answer": "7.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [29], "steps": [{"op": "minus1-1", "arg1": "658", "arg2": "613", "res": "45"}, {"op": "divide1-2", "arg1": "#0", "arg2": "613", "res": "7.3%"}], "program": "subtract(658, 613), divide(#0, 613)", "gold_inds": {"text_29": "our contributions were $ 658 million in 2018 , $ 613 million in 2017 and $ 617 million in 2016 , the majority of which were funded using our common stock ."}, "exe_ans": 0.07341, "tfidftopn": {"text_24": "we made contributions of $ 5.0 billion to our qualified defined benefit pension plans in 2018 , including required and discretionary contributions .", "text_28": "under the provisions of our 401 ( k ) plans , we match most employees 2019 eligible contributions at rates specified in the plan documents ."}, "program_re": "divide(subtract(658, 613), 613)", "model_input": [["text_24", "we made contributions of $ 5.0 billion to our qualified defined benefit pension plans in 2018 , including required and discretionary contributions ."], ["table_1", "the qualified defined benefit pension plans of 2019 is $ 2350 ; the qualified defined benefit pension plans of 2020 is $ 2390 ; the qualified defined benefit pension plans of 2021 is $ 2470 ; the qualified defined benefit pension plans of 2022 is $ 2550 ; the qualified defined benefit pension plans of 2023 is $ 2610 ; the qualified defined benefit pension plans of 2024 2013 2028 is $ 13670 ;"], ["text_29", "our contributions were $ 658 million in 2018 , $ 613 million in 2017 and $ 617 million in 2016 , the majority of which were funded using our common stock ."]]}, "answers": ["7.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000784", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in 401 ( k ) contributions from 2017 to 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "7.3%.", "rejected": "-0.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the percentage change in 401 ( k ) contributions <TIME>?", "doc_prefix": "LMT", "base_question": "what is the percentage change in 401 ( k ) contributions <TIME>?", "original_question": "what is the percentage change in 401 ( k ) contributions from 2017 to 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-0.6%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "7.3%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "LMT/2018/page_104.pdf-4", "qa": {"question": "what is the percentage change in 401 ( k ) contributions from 2017 to 2018?", "answer": "7.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [29], "steps": [{"op": "minus1-1", "arg1": "658", "arg2": "613", "res": "45"}, {"op": "divide1-2", "arg1": "#0", "arg2": "613", "res": "7.3%"}], "program": "subtract(658, 613), divide(#0, 613)", "gold_inds": {"text_29": "our contributions were $ 658 million in 2018 , $ 613 million in 2017 and $ 617 million in 2016 , the majority of which were funded using our common stock ."}, "exe_ans": 0.07341, "tfidftopn": {"text_24": "we made contributions of $ 5.0 billion to our qualified defined benefit pension plans in 2018 , including required and discretionary contributions .", "text_28": "under the provisions of our 401 ( k ) plans , we match most employees 2019 eligible contributions at rates specified in the plan documents ."}, "program_re": "divide(subtract(658, 613), 613)", "model_input": [["text_24", "we made contributions of $ 5.0 billion to our qualified defined benefit pension plans in 2018 , including required and discretionary contributions ."], ["table_1", "the qualified defined benefit pension plans of 2019 is $ 2350 ; the qualified defined benefit pension plans of 2020 is $ 2390 ; the qualified defined benefit pension plans of 2021 is $ 2470 ; the qualified defined benefit pension plans of 2022 is $ 2550 ; the qualified defined benefit pension plans of 2023 is $ 2610 ; the qualified defined benefit pension plans of 2024 2013 2028 is $ 13670 ;"], ["text_29", "our contributions were $ 658 million in 2018 , $ 613 million in 2017 and $ 617 million in 2016 , the majority of which were funded using our common stock ."]]}, "answers": ["7.3%"]}, "rejected_source": {"id": "LMT/2018/page_104.pdf-2", "qa": {"question": "what is the percentage change in 401 ( k ) contributions from 2016 to 2017?", "answer": "-0.6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [29], "steps": [{"op": "minus2-1", "arg1": "613", "arg2": "617", "res": "-4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "617", "res": "-0.6%"}], "program": "subtract(613, 617), divide(#0, 617)", "gold_inds": {"text_29": "our contributions were $ 658 million in 2018 , $ 613 million in 2017 and $ 617 million in 2016 , the majority of which were funded using our common stock ."}, "exe_ans": -0.00648, "tfidftopn": {"text_28": "under the provisions of our 401 ( k ) plans , we match most employees 2019 eligible contributions at rates specified in the plan documents .", "text_25": "as a result of these contributions , we do not expect to make contributions to our qualified defined benefit pension plans in 2019 ."}, "program_re": "divide(subtract(613, 617), 617)", "model_input": [["text_25", "as a result of these contributions , we do not expect to make contributions to our qualified defined benefit pension plans in 2019 ."], ["table_1", "the qualified defined benefit pension plans of 2019 is $ 2350 ; the qualified defined benefit pension plans of 2020 is $ 2390 ; the qualified defined benefit pension plans of 2021 is $ 2470 ; the qualified defined benefit pension plans of 2022 is $ 2550 ; the qualified defined benefit pension plans of 2023 is $ 2610 ; the qualified defined benefit pension plans of 2024 2013 2028 is $ 13670 ;"], ["text_29", "our contributions were $ 658 million in 2018 , $ 613 million in 2017 and $ 617 million in 2016 , the majority of which were funded using our common stock ."]]}, "answers": ["-0.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000785", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by how much did asset retirement liability increase from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "25.6%.", "rejected": "42.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || by how much did asset retirement liability increase <TIME>?", "doc_prefix": "AAPL", "base_question": "by how much did asset retirement liability increase <TIME>?", "original_question": "by how much did asset retirement liability increase from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"42.7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "25.6%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "AAPL/2006/page_79.pdf-2", "qa": {"question": "by how much did asset retirement liability increase from 2005 to 2006?", "answer": "25.6%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "14.7", "arg2": "11.7", "res": "3.0"}, {"op": "divide2-2", "arg1": "#0", "arg2": "11.7", "res": "25.6%"}], "program": "subtract(14.7, 11.7), divide(#0, 11.7)", "gold_inds": {"table_3": "asset retirement liability as of september 25 2004 the asset retirement liability as of september 24 2005 of $ 8.2 is $ 11.7 ;", "table_4": "asset retirement liability as of september 25 2004 the additional asset retirement obligations recognized of $ 8.2 is 2.5 ;", "table_6": "asset retirement liability as of september 25 2004 the asset retirement liability as of september 30 2006 of $ 8.2 is $ 14.7 ;"}, "exe_ans": 0.25641, "tfidftopn": {}, "program_re": "divide(subtract(14.7, 11.7), 11.7)", "model_input": [["table_3", "asset retirement liability as of september 25 2004 the asset retirement liability as of september 24 2005 of $ 8.2 is $ 11.7 ;"], ["table_4", "asset retirement liability as of september 25 2004 the additional asset retirement obligations recognized of $ 8.2 is 2.5 ;"], ["table_6", "asset retirement liability as of september 25 2004 the asset retirement liability as of september 30 2006 of $ 8.2 is $ 14.7 ;"]]}, "answers": ["25.6%"]}, "rejected_source": {"id": "AAPL/2006/page_79.pdf-3", "qa": {"question": "by how much did asset retirement liability increase from 2004 to 2005?", "answer": "42.7%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "11.7", "arg2": "8.2", "res": "3.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "8.2", "res": "42.7%"}], "program": "subtract(11.7, 8.2), divide(#0, 8.2)", "gold_inds": {"table_3": "asset retirement liability as of september 25 2004 the asset retirement liability as of september 24 2005 of $ 8.2 is $ 11.7 ;"}, "exe_ans": 0.42683, "tfidftopn": {"text_12": "the company did not recognize any goodwill or intangible asset impairment charges in 2006 , 2005 , or 2004 .", "table_6": "asset retirement liability as of september 25 2004 The asset retirement liability as of september 30 2006 of $ 8.2 is $ 14.7 ;"}, "program_re": "divide(subtract(11.7, 8.2), 8.2)", "model_input": [["table_0", "asset retirement liability as of september 25 2004 the asset retirement liability as of september 25 2004 of $ 8.2 is $ 8.2 ;"], ["table_3", "asset retirement liability as of september 25 2004 the asset retirement liability as of september 24 2005 of $ 8.2 is $ 11.7 ;"], ["table_6", "asset retirement liability as of september 25 2004 the asset retirement liability as of september 30 2006 of $ 8.2 is $ 14.7 ;"]]}, "answers": ["42.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000786", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by how much did asset retirement liability increase from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "42.7%.", "rejected": "25.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || by how much did asset retirement liability increase <TIME>?", "doc_prefix": "AAPL", "base_question": "by how much did asset retirement liability increase <TIME>?", "original_question": "by how much did asset retirement liability increase from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"42.7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "25.6%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "AAPL/2006/page_79.pdf-3", "qa": {"question": "by how much did asset retirement liability increase from 2004 to 2005?", "answer": "42.7%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "11.7", "arg2": "8.2", "res": "3.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "8.2", "res": "42.7%"}], "program": "subtract(11.7, 8.2), divide(#0, 8.2)", "gold_inds": {"table_3": "asset retirement liability as of september 25 2004 the asset retirement liability as of september 24 2005 of $ 8.2 is $ 11.7 ;"}, "exe_ans": 0.42683, "tfidftopn": {"text_12": "the company did not recognize any goodwill or intangible asset impairment charges in 2006 , 2005 , or 2004 .", "table_6": "asset retirement liability as of september 25 2004 The asset retirement liability as of september 30 2006 of $ 8.2 is $ 14.7 ;"}, "program_re": "divide(subtract(11.7, 8.2), 8.2)", "model_input": [["table_0", "asset retirement liability as of september 25 2004 the asset retirement liability as of september 25 2004 of $ 8.2 is $ 8.2 ;"], ["table_3", "asset retirement liability as of september 25 2004 the asset retirement liability as of september 24 2005 of $ 8.2 is $ 11.7 ;"], ["table_6", "asset retirement liability as of september 25 2004 the asset retirement liability as of september 30 2006 of $ 8.2 is $ 14.7 ;"]]}, "answers": ["42.7%"]}, "rejected_source": {"id": "AAPL/2006/page_79.pdf-2", "qa": {"question": "by how much did asset retirement liability increase from 2005 to 2006?", "answer": "25.6%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "14.7", "arg2": "11.7", "res": "3.0"}, {"op": "divide2-2", "arg1": "#0", "arg2": "11.7", "res": "25.6%"}], "program": "subtract(14.7, 11.7), divide(#0, 11.7)", "gold_inds": {"table_3": "asset retirement liability as of september 25 2004 the asset retirement liability as of september 24 2005 of $ 8.2 is $ 11.7 ;", "table_4": "asset retirement liability as of september 25 2004 the additional asset retirement obligations recognized of $ 8.2 is 2.5 ;", "table_6": "asset retirement liability as of september 25 2004 the asset retirement liability as of september 30 2006 of $ 8.2 is $ 14.7 ;"}, "exe_ans": 0.25641, "tfidftopn": {}, "program_re": "divide(subtract(14.7, 11.7), 11.7)", "model_input": [["table_3", "asset retirement liability as of september 25 2004 the asset retirement liability as of september 24 2005 of $ 8.2 is $ 11.7 ;"], ["table_4", "asset retirement liability as of september 25 2004 the additional asset retirement obligations recognized of $ 8.2 is 2.5 ;"], ["table_6", "asset retirement liability as of september 25 2004 the asset retirement liability as of september 30 2006 of $ 8.2 is $ 14.7 ;"]]}, "answers": ["25.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000787", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average net sales from 2011 to 2013\nReference time interval: 2011-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "14479.", "rejected": "8155.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the average net sales <TIME>", "doc_prefix": "LMT", "base_question": "what was the average net sales <TIME>", "original_question": "what was the average net sales from 2011 to 2013", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2011 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14479": [{"start": "2011-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2011 to 2013"}], "8155.3": [{"start": "2011-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2011 to 2013"}]}, "chosen_source": {"id": "LMT/2013/page_44.pdf-2", "qa": {"question": "what was the average net sales from 2011 to 2013", "answer": "14479", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "14123", "arg2": "14953", "res": "29076"}, {"op": "add1-2", "arg1": "#0", "arg2": "14362", "res": "43438"}, {"op": "divide1-3", "arg1": "#1", "arg2": "const_3", "res": "14479"}], "program": "add(14123, 14953), add(#0, 14362), divide(#1, const_3)", "gold_inds": {"table_1": "the net sales of 2013 is $ 14123 ; the net sales of 2012 is $ 14953 ; the net sales of 2011 is $ 14362 ;"}, "exe_ans": 14479.33333, "tfidftopn": {"text_3": "2013 compared to 2012 aeronautics 2019 net sales for 2013 decreased $ 830 million , or 6% ( 6 % ) , compared to 2012 .", "text_10": "adjustments not related to volume , including net profit booking rate adjustments and other matters , were approximately $ 75 million lower for 2013 compared to 2012 compared to 2011 aeronautics 2019 net sales for 2012 increased $ 591 million , or 4% ( 4 % ) , compared to 2011 ."}, "program_re": "divide(add(add(14123, 14953), 14362), const_3)", "model_input": [["table_1", "the net sales of 2013 is $ 14123 ; the net sales of 2012 is $ 14953 ; the net sales of 2011 is $ 14362 ;"], ["table_2", "the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ;"], ["text_10", "adjustments not related to volume , including net profit booking rate adjustments and other matters , were approximately $ 75 million lower for 2013 compared to 2012 compared to 2011 aeronautics 2019 net sales for 2012 increased $ 591 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["14479"]}, "rejected_source": {"id": "LMT/2013/page_49.pdf-3", "qa": {"question": "what was the average net sales from 2011 to 2013", "answer": "8155.3", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "7958", "arg2": "8347", "res": "16305"}, {"op": "add1-2", "arg1": "#0", "arg2": "8161", "res": "24466"}, {"op": "add1-3", "arg1": "#1", "arg2": "const_3", "res": "16310.66"}, {"op": "divide0-0", "arg1": "#2", "arg2": "const_2", "res": "8155.33"}], "program": "add(7958, 8347), add(#0, 8161), add(#1, const_3), divide(#2, const_2)", "gold_inds": {"table_1": "the net sales of 2013 is $ 7958 ; the net sales of 2012 is $ 8347 ; the net sales of 2011 is $ 8161 ;"}, "exe_ans": 12234.5, "tfidftopn": {"text_4": "2013 compared to 2012 space systems 2019 net sales for 2013 decreased $ 389 million , or 5% ( 5 % ) , compared to 2012 .", "text_13": "2012 compared to 2011 space systems 2019 net sales for 2012 increased $ 186 million , or 2% ( 2 % ) , compared to 2011 ."}, "program_re": "divide(add(add(add(7958, 8347), 8161), const_3), const_2)", "model_input": [["table_1", "the net sales of 2013 is $ 7958 ; the net sales of 2012 is $ 8347 ; the net sales of 2011 is $ 8161 ;"], ["table_2", "the operating profit of 2013 is 1045 ; the operating profit of 2012 is 1083 ; the operating profit of 2011 is 1063 ;"], ["text_22", "atomic weapons establishment joint venture represented approximately $ 265 million and $ 285 million , or 24% ( 24 % ) and 27% ( 27 % ) of this segment 2019s operating profit. ."]]}, "answers": ["8155.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000788", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average net sales from 2011 to 2013\nReference time interval: 2011-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "8155.3.", "rejected": "14479.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the average net sales <TIME>", "doc_prefix": "LMT", "base_question": "what was the average net sales <TIME>", "original_question": "what was the average net sales from 2011 to 2013", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2011 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14479": [{"start": "2011-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2011 to 2013"}], "8155.3": [{"start": "2011-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2011 to 2013"}]}, "chosen_source": {"id": "LMT/2013/page_49.pdf-3", "qa": {"question": "what was the average net sales from 2011 to 2013", "answer": "8155.3", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "7958", "arg2": "8347", "res": "16305"}, {"op": "add1-2", "arg1": "#0", "arg2": "8161", "res": "24466"}, {"op": "add1-3", "arg1": "#1", "arg2": "const_3", "res": "16310.66"}, {"op": "divide0-0", "arg1": "#2", "arg2": "const_2", "res": "8155.33"}], "program": "add(7958, 8347), add(#0, 8161), add(#1, const_3), divide(#2, const_2)", "gold_inds": {"table_1": "the net sales of 2013 is $ 7958 ; the net sales of 2012 is $ 8347 ; the net sales of 2011 is $ 8161 ;"}, "exe_ans": 12234.5, "tfidftopn": {"text_4": "2013 compared to 2012 space systems 2019 net sales for 2013 decreased $ 389 million , or 5% ( 5 % ) , compared to 2012 .", "text_13": "2012 compared to 2011 space systems 2019 net sales for 2012 increased $ 186 million , or 2% ( 2 % ) , compared to 2011 ."}, "program_re": "divide(add(add(add(7958, 8347), 8161), const_3), const_2)", "model_input": [["table_1", "the net sales of 2013 is $ 7958 ; the net sales of 2012 is $ 8347 ; the net sales of 2011 is $ 8161 ;"], ["table_2", "the operating profit of 2013 is 1045 ; the operating profit of 2012 is 1083 ; the operating profit of 2011 is 1063 ;"], ["text_22", "atomic weapons establishment joint venture represented approximately $ 265 million and $ 285 million , or 24% ( 24 % ) and 27% ( 27 % ) of this segment 2019s operating profit. ."]]}, "answers": ["8155.3"]}, "rejected_source": {"id": "LMT/2013/page_44.pdf-2", "qa": {"question": "what was the average net sales from 2011 to 2013", "answer": "14479", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "14123", "arg2": "14953", "res": "29076"}, {"op": "add1-2", "arg1": "#0", "arg2": "14362", "res": "43438"}, {"op": "divide1-3", "arg1": "#1", "arg2": "const_3", "res": "14479"}], "program": "add(14123, 14953), add(#0, 14362), divide(#1, const_3)", "gold_inds": {"table_1": "the net sales of 2013 is $ 14123 ; the net sales of 2012 is $ 14953 ; the net sales of 2011 is $ 14362 ;"}, "exe_ans": 14479.33333, "tfidftopn": {"text_3": "2013 compared to 2012 aeronautics 2019 net sales for 2013 decreased $ 830 million , or 6% ( 6 % ) , compared to 2012 .", "text_10": "adjustments not related to volume , including net profit booking rate adjustments and other matters , were approximately $ 75 million lower for 2013 compared to 2012 compared to 2011 aeronautics 2019 net sales for 2012 increased $ 591 million , or 4% ( 4 % ) , compared to 2011 ."}, "program_re": "divide(add(add(14123, 14953), 14362), const_3)", "model_input": [["table_1", "the net sales of 2013 is $ 14123 ; the net sales of 2012 is $ 14953 ; the net sales of 2011 is $ 14362 ;"], ["table_2", "the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ;"], ["text_10", "adjustments not related to volume , including net profit booking rate adjustments and other matters , were approximately $ 75 million lower for 2013 compared to 2012 compared to 2011 aeronautics 2019 net sales for 2012 increased $ 591 million , or 4% ( 4 % ) , compared to 2011 ."]]}, "answers": ["14479"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000789", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales metal beverage packaging , europe between 2009 to 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-2%.", "rejected": "-7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in net sales metal beverage packaging , europe between <TIME> to <TIME>?", "doc_prefix": "BLL", "base_question": "what was the percentage change in net sales metal beverage packaging , europe between <TIME> to <TIME>?", "original_question": "what was the percentage change in net sales metal beverage packaging , europe between 2009 to 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-7%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "-2%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "BLL/2010/page_33.pdf-2", "qa": {"question": "what was the percentage change in net sales metal beverage packaging , europe between 2009 to 2010?", "answer": "-2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1697.6", "arg2": "1739.5", "res": "-41.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1739.5", "res": "-2%"}], "program": "subtract(1697.6, 1739.5), divide(#0, 1739.5)", "gold_inds": {"table_1": "( $ in millions ) the net sales of 2010 is $ 1697.6 ; the net sales of 2009 is $ 1739.5 ; the net sales of 2008 is $ 1868.7 ;"}, "exe_ans": -0.02409, "tfidftopn": {"text_7": "metal beverage packaging , europe .", "text_9": "the metal beverage packaging , europe , segment includes metal beverage packaging products manufactured in europe ."}, "program_re": "divide(subtract(1697.6, 1739.5), 1739.5)", "model_input": [["text_7", "metal beverage packaging , europe ."], ["table_1", "( $ in millions ) the net sales of 2010 is $ 1697.6 ; the net sales of 2009 is $ 1739.5 ; the net sales of 2008 is $ 1868.7 ;"], ["table_4", "( $ in millions ) the total segment earnings of 2010 is $ 209.7 ; the total segment earnings of 2009 is $ 214.8 ; the total segment earnings of 2008 is $ 230.9 ;"]]}, "answers": ["-2%"]}, "rejected_source": {"id": "BLL/2010/page_33.pdf-4", "qa": {"question": "what was the percentage change in net sales metal beverage packaging , europe between 2008 to 2009?", "answer": "-7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1739.5", "arg2": "1868.7", "res": "-129.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1868.7", "res": "-7%"}], "program": "subtract(1739.5, 1868.7), divide(#0, 1868.7)", "gold_inds": {"table_1": "( $ in millions ) the net sales of 2010 is $ 1697.6 ; the net sales of 2009 is $ 1739.5 ; the net sales of 2008 is $ 1868.7 ;"}, "exe_ans": -0.06914, "tfidftopn": {"text_7": "metal beverage packaging , europe .", "text_9": "the metal beverage packaging , europe , segment includes metal beverage packaging products manufactured in europe ."}, "program_re": "divide(subtract(1739.5, 1868.7), 1868.7)", "model_input": [["table_1", "( $ in millions ) the net sales of 2010 is $ 1697.6 ; the net sales of 2009 is $ 1739.5 ; the net sales of 2008 is $ 1868.7 ;"], ["table_2", "( $ in millions ) the segment earnings of 2010 is $ 212.9 ; the segment earnings of 2009 is $ 214.8 ; the segment earnings of 2008 is $ 230.9 ;"], ["table_4", "( $ in millions ) the total segment earnings of 2010 is $ 209.7 ; the total segment earnings of 2009 is $ 214.8 ; the total segment earnings of 2008 is $ 230.9 ;"]]}, "answers": ["-7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000790", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales metal beverage packaging , europe between 2008 to 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-7%.", "rejected": "-2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the percentage change in net sales metal beverage packaging , europe between <TIME> to <TIME>?", "doc_prefix": "BLL", "base_question": "what was the percentage change in net sales metal beverage packaging , europe between <TIME> to <TIME>?", "original_question": "what was the percentage change in net sales metal beverage packaging , europe between 2008 to 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-7%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "-2%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "BLL/2010/page_33.pdf-4", "qa": {"question": "what was the percentage change in net sales metal beverage packaging , europe between 2008 to 2009?", "answer": "-7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1739.5", "arg2": "1868.7", "res": "-129.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1868.7", "res": "-7%"}], "program": "subtract(1739.5, 1868.7), divide(#0, 1868.7)", "gold_inds": {"table_1": "( $ in millions ) the net sales of 2010 is $ 1697.6 ; the net sales of 2009 is $ 1739.5 ; the net sales of 2008 is $ 1868.7 ;"}, "exe_ans": -0.06914, "tfidftopn": {"text_7": "metal beverage packaging , europe .", "text_9": "the metal beverage packaging , europe , segment includes metal beverage packaging products manufactured in europe ."}, "program_re": "divide(subtract(1739.5, 1868.7), 1868.7)", "model_input": [["table_1", "( $ in millions ) the net sales of 2010 is $ 1697.6 ; the net sales of 2009 is $ 1739.5 ; the net sales of 2008 is $ 1868.7 ;"], ["table_2", "( $ in millions ) the segment earnings of 2010 is $ 212.9 ; the segment earnings of 2009 is $ 214.8 ; the segment earnings of 2008 is $ 230.9 ;"], ["table_4", "( $ in millions ) the total segment earnings of 2010 is $ 209.7 ; the total segment earnings of 2009 is $ 214.8 ; the total segment earnings of 2008 is $ 230.9 ;"]]}, "answers": ["-7%"]}, "rejected_source": {"id": "BLL/2010/page_33.pdf-2", "qa": {"question": "what was the percentage change in net sales metal beverage packaging , europe between 2009 to 2010?", "answer": "-2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1697.6", "arg2": "1739.5", "res": "-41.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1739.5", "res": "-2%"}], "program": "subtract(1697.6, 1739.5), divide(#0, 1739.5)", "gold_inds": {"table_1": "( $ in millions ) the net sales of 2010 is $ 1697.6 ; the net sales of 2009 is $ 1739.5 ; the net sales of 2008 is $ 1868.7 ;"}, "exe_ans": -0.02409, "tfidftopn": {"text_7": "metal beverage packaging , europe .", "text_9": "the metal beverage packaging , europe , segment includes metal beverage packaging products manufactured in europe ."}, "program_re": "divide(subtract(1697.6, 1739.5), 1739.5)", "model_input": [["text_7", "metal beverage packaging , europe ."], ["table_1", "( $ in millions ) the net sales of 2010 is $ 1697.6 ; the net sales of 2009 is $ 1739.5 ; the net sales of 2008 is $ 1868.7 ;"], ["table_4", "( $ in millions ) the total segment earnings of 2010 is $ 209.7 ; the total segment earnings of 2009 is $ 214.8 ; the total segment earnings of 2008 is $ 230.9 ;"]]}, "answers": ["-2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000791", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016 for entergy louisiana?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1.2%.", "rejected": "7.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME> for entergy louisiana?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME> for entergy louisiana?", "original_question": "what is the growth rate in net revenue in 2016 for entergy louisiana?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.2%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "1.2%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2016/page_342.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016 for entergy louisiana?", "answer": "1.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2438.4", "arg2": "2408.8", "res": "29.6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2408.8", "res": "1.2%"}], "program": "subtract(2438.4, 2408.8), divide(#0, 2408.8)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 2408.8 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 2438.4 ;"}, "exe_ans": 0.01229, "tfidftopn": {"text_9": "the transmission equalization variance is primarily due to changes in transmission investments , including entergy louisiana 2019s exit from the system agreement in august 2016 ."}, "program_re": "divide(subtract(2438.4, 2408.8), 2408.8)", "model_input": [["text_0", "entergy louisiana , llc and subsidiaries management 2019s financial discussion and analysis results of operations net income 2016 compared to 2015 net income increased $ 175.4 million primarily due to the effect of a settlement with the irs related to the 2010-2011 irs audit , which resulted in a $ 136.1 million reduction of income tax expense ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 2408.8 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 2438.4 ;"]]}, "answers": ["1.2%"]}, "rejected_source": {"id": "ETR/2016/page_343.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2015 for entergy louisiana?", "answer": "7.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2408.8", "arg2": "2246.1", "res": "162.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2246.1", "res": "7.2%"}], "program": "subtract(2408.8, 2246.1), divide(#0, 2246.1)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2246.1 ;", "table_7": "the 2015 net revenue of amount ( in millions ) is $ 2408.8 ;"}, "exe_ans": 0.07244, "tfidftopn": {"text_10": "entergy louisiana 2019s formula rate plan increases are discussed in note 2 to the financial statements ."}, "program_re": "divide(subtract(2408.8, 2246.1), 2246.1)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2246.1 ;"], ["table_7", "the 2015 net revenue of amount ( in millions ) is $ 2408.8 ;"]]}, "answers": ["7.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000792", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2015 for entergy louisiana?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "7.2%.", "rejected": "1.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME> for entergy louisiana?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME> for entergy louisiana?", "original_question": "what is the growth rate in net revenue in 2015 for entergy louisiana?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.2%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "1.2%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2016/page_343.pdf-4", "qa": {"question": "what is the growth rate in net revenue in 2015 for entergy louisiana?", "answer": "7.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2408.8", "arg2": "2246.1", "res": "162.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2246.1", "res": "7.2%"}], "program": "subtract(2408.8, 2246.1), divide(#0, 2246.1)", "gold_inds": {"table_1": "the 2014 net revenue of amount ( in millions ) is $ 2246.1 ;", "table_7": "the 2015 net revenue of amount ( in millions ) is $ 2408.8 ;"}, "exe_ans": 0.07244, "tfidftopn": {"text_10": "entergy louisiana 2019s formula rate plan increases are discussed in note 2 to the financial statements ."}, "program_re": "divide(subtract(2408.8, 2246.1), 2246.1)", "model_input": [["text_8", "amount ( in millions ) ."], ["table_1", "the 2014 net revenue of amount ( in millions ) is $ 2246.1 ;"], ["table_7", "the 2015 net revenue of amount ( in millions ) is $ 2408.8 ;"]]}, "answers": ["7.2%"]}, "rejected_source": {"id": "ETR/2016/page_342.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016 for entergy louisiana?", "answer": "1.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2438.4", "arg2": "2408.8", "res": "29.6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2408.8", "res": "1.2%"}], "program": "subtract(2438.4, 2408.8), divide(#0, 2408.8)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 2408.8 ;", "table_7": "the 2016 net revenue of amount ( in millions ) is $ 2438.4 ;"}, "exe_ans": 0.01229, "tfidftopn": {"text_9": "the transmission equalization variance is primarily due to changes in transmission investments , including entergy louisiana 2019s exit from the system agreement in august 2016 ."}, "program_re": "divide(subtract(2438.4, 2408.8), 2408.8)", "model_input": [["text_0", "entergy louisiana , llc and subsidiaries management 2019s financial discussion and analysis results of operations net income 2016 compared to 2015 net income increased $ 175.4 million primarily due to the effect of a settlement with the irs related to the 2010-2011 irs audit , which resulted in a $ 136.1 million reduction of income tax expense ."], ["table_1", "the 2015 net revenue of amount ( in millions ) is $ 2408.8 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 2438.4 ;"]]}, "answers": ["1.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000793", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net sales for is&gs in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-5.4%.", "rejected": "-5.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in net sales for is&gs <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in net sales for is&gs <TIME>?", "original_question": "what is the growth rate in net sales for is&gs in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5.4%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-5.7%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "LMT/2012/page_44.pdf-2", "qa": {"question": "what is the growth rate in net sales for is&gs in 2011?", "answer": "-5.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "9381", "arg2": "9921", "res": "-540"}, {"op": "divide2-2", "arg1": "#0", "arg2": "9921", "res": "-5.4%"}], "program": "subtract(9381, 9921), divide(#0, 9921)", "gold_inds": {"table_1": "the net sales of 2012 is $ 8846 ; the net sales of 2011 is $ 9381 ; the net sales of 2010 is $ 9921 ;"}, "exe_ans": -0.05443, "tfidftopn": {"text_14": "2012 compared to 2011 is&gs 2019 net sales for 2012 decreased $ 535 million , or 6% ( 6 % ) , compared to 2011 .", "text_7": "a decrease in net sales from a decline in f-16 and c-130j aircraft deliveries is expected to be partially offset by an increase in net sales volume on f-35 lrip contracts ."}, "program_re": "divide(subtract(9381, 9921), 9921)", "model_input": [["table_1", "the net sales of 2012 is $ 8846 ; the net sales of 2011 is $ 9381 ; the net sales of 2010 is $ 9921 ;"], ["table_2", "the operating profit of 2012 is 808 ; the operating profit of 2011 is 874 ; the operating profit of 2010 is 814 ;"], ["text_14", "2012 compared to 2011 is&gs 2019 net sales for 2012 decreased $ 535 million , or 6% ( 6 % ) , compared to 2011 ."]]}, "answers": ["-5.4%"]}, "rejected_source": {"id": "LMT/2012/page_44.pdf-1", "qa": {"question": "what is the growth rate in net sales for is&gs in 2012?", "answer": "-5.7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "8846", "arg2": "9381", "res": "-535"}], "program": "subtract(8846, 9381)", "gold_inds": {"table_1": "the net sales of 2012 is $ 8846 ; the net sales of 2011 is $ 9381 ; the net sales of 2010 is $ 9921 ;"}, "exe_ans": -535.0, "tfidftopn": {"text_14": "2012 compared to 2011 is&gs 2019 net sales for 2012 decreased $ 535 million , or 6% ( 6 % ) , compared to 2011 .", "text_7": "a decrease in net sales from a decline in f-16 and c-130j aircraft deliveries is expected to be partially offset by an increase in net sales volume on f-35 lrip contracts ."}, "program_re": "subtract(8846, 9381)", "model_input": [["table_1", "the net sales of 2012 is $ 8846 ; the net sales of 2011 is $ 9381 ; the net sales of 2010 is $ 9921 ;"], ["table_2", "the operating profit of 2012 is 808 ; the operating profit of 2011 is 874 ; the operating profit of 2010 is 814 ;"], ["text_14", "2012 compared to 2011 is&gs 2019 net sales for 2012 decreased $ 535 million , or 6% ( 6 % ) , compared to 2011 ."]]}, "answers": ["-5.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000794", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net sales for is&gs in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-5.7%.", "rejected": "-5.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in net sales for is&gs <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in net sales for is&gs <TIME>?", "original_question": "what is the growth rate in net sales for is&gs in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5.4%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-5.7%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "LMT/2012/page_44.pdf-1", "qa": {"question": "what is the growth rate in net sales for is&gs in 2012?", "answer": "-5.7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "8846", "arg2": "9381", "res": "-535"}], "program": "subtract(8846, 9381)", "gold_inds": {"table_1": "the net sales of 2012 is $ 8846 ; the net sales of 2011 is $ 9381 ; the net sales of 2010 is $ 9921 ;"}, "exe_ans": -535.0, "tfidftopn": {"text_14": "2012 compared to 2011 is&gs 2019 net sales for 2012 decreased $ 535 million , or 6% ( 6 % ) , compared to 2011 .", "text_7": "a decrease in net sales from a decline in f-16 and c-130j aircraft deliveries is expected to be partially offset by an increase in net sales volume on f-35 lrip contracts ."}, "program_re": "subtract(8846, 9381)", "model_input": [["table_1", "the net sales of 2012 is $ 8846 ; the net sales of 2011 is $ 9381 ; the net sales of 2010 is $ 9921 ;"], ["table_2", "the operating profit of 2012 is 808 ; the operating profit of 2011 is 874 ; the operating profit of 2010 is 814 ;"], ["text_14", "2012 compared to 2011 is&gs 2019 net sales for 2012 decreased $ 535 million , or 6% ( 6 % ) , compared to 2011 ."]]}, "answers": ["-5.7%"]}, "rejected_source": {"id": "LMT/2012/page_44.pdf-2", "qa": {"question": "what is the growth rate in net sales for is&gs in 2011?", "answer": "-5.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "9381", "arg2": "9921", "res": "-540"}, {"op": "divide2-2", "arg1": "#0", "arg2": "9921", "res": "-5.4%"}], "program": "subtract(9381, 9921), divide(#0, 9921)", "gold_inds": {"table_1": "the net sales of 2012 is $ 8846 ; the net sales of 2011 is $ 9381 ; the net sales of 2010 is $ 9921 ;"}, "exe_ans": -0.05443, "tfidftopn": {"text_14": "2012 compared to 2011 is&gs 2019 net sales for 2012 decreased $ 535 million , or 6% ( 6 % ) , compared to 2011 .", "text_7": "a decrease in net sales from a decline in f-16 and c-130j aircraft deliveries is expected to be partially offset by an increase in net sales volume on f-35 lrip contracts ."}, "program_re": "divide(subtract(9381, 9921), 9921)", "model_input": [["table_1", "the net sales of 2012 is $ 8846 ; the net sales of 2011 is $ 9381 ; the net sales of 2010 is $ 9921 ;"], ["table_2", "the operating profit of 2012 is 808 ; the operating profit of 2011 is 874 ; the operating profit of 2010 is 814 ;"], ["text_14", "2012 compared to 2011 is&gs 2019 net sales for 2012 decreased $ 535 million , or 6% ( 6 % ) , compared to 2011 ."]]}, "answers": ["-5.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000795", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the principal payment in 2017 as a percentage of the total senior secured transition bonds?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "8.38%.", "rejected": "9.96%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the principal payment <TIME> as a percentage of the total senior secured transition bonds?", "doc_prefix": "ETR", "base_question": "what is the principal payment <TIME> as a percentage of the total senior secured transition bonds?", "original_question": "what is the principal payment in 2017 as a percentage of the total senior secured transition bonds?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.38%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "9.96%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "ETR/2015/page_133.pdf-3", "qa": {"question": "what is the principal payment in 2017 as a percentage of the total senior secured transition bonds?", "answer": "8.38%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [4], "steps": [{"op": "multiply2-1", "arg1": "27.6", "arg2": "const_1000", "res": "27600"}, {"op": "divide2-2", "arg1": "#0", "arg2": "329500", "res": "8.38%"}], "program": "multiply(27.6, const_1000), divide(#0, 329500)", "gold_inds": {"table_5": "the total senior secured transition bonds of amount ( in thousands ) is $ 329500 ;", "text_4": "with the proceeds , entergy new orleans storm recovery funding purchased from entergy new orleans the storm recovery property , which is the right to recover from customers through a storm recovery charge amounts sufficient to service the securitization bonds .", "text_10": "although the principal amount of each tranche is not due until the dates given above , entergy gulf states reconstruction funding expects to make principal payments on the bonds over the next five years in the amounts of $ 26 million for 2016 , $ 27.6 million for 2017 , $ 29.2 million for 2018 , $ 30.9 million for 2019 , and $ 32.8 million for 2020 ."}, "exe_ans": 0.08376, "tfidftopn": {}, "program_re": "divide(multiply(27.6, const_1000), 329500)", "model_input": [["text_4", "with the proceeds , entergy new orleans storm recovery funding purchased from entergy new orleans the storm recovery property , which is the right to recover from customers through a storm recovery charge amounts sufficient to service the securitization bonds ."], ["table_5", "the total senior secured transition bonds of amount ( in thousands ) is $ 329500 ;"], ["text_10", "although the principal amount of each tranche is not due until the dates given above , entergy gulf states reconstruction funding expects to make principal payments on the bonds over the next five years in the amounts of $ 26 million for 2016 , $ 27.6 million for 2017 , $ 29.2 million for 2018 , $ 30.9 million for 2019 , and $ 32.8 million for 2020 ."]]}, "answers": ["8.38%"]}, "rejected_source": {"id": "ETR/2015/page_133.pdf-4", "qa": {"question": "what is the principal payment in 2020 as a percentage of the total senior secured transition bonds?", "answer": "9.96%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [4], "steps": [{"op": "multiply1-1", "arg1": "32.8", "arg2": "const_1000", "res": "32800"}, {"op": "divide1-2", "arg1": "#0", "arg2": "329500", "res": "9.96%"}], "program": "multiply(32.8, const_1000), divide(#0, 329500)", "gold_inds": {"table_5": "the total senior secured transition bonds of amount ( in thousands ) is $ 329500 ;", "text_4": "with the proceeds , entergy new orleans storm recovery funding purchased from entergy new orleans the storm recovery property , which is the right to recover from customers through a storm recovery charge amounts sufficient to service the securitization bonds .", "text_10": "although the principal amount of each tranche is not due until the dates given above , entergy gulf states reconstruction funding expects to make principal payments on the bonds over the next five years in the amounts of $ 26 million for 2016 , $ 27.6 million for 2017 , $ 29.2 million for 2018 , $ 30.9 million for 2019 , and $ 32.8 million for 2020 ."}, "exe_ans": 0.09954, "tfidftopn": {}, "program_re": "divide(multiply(32.8, const_1000), 329500)", "model_input": [["text_4", "with the proceeds , entergy new orleans storm recovery funding purchased from entergy new orleans the storm recovery property , which is the right to recover from customers through a storm recovery charge amounts sufficient to service the securitization bonds ."], ["table_5", "the total senior secured transition bonds of amount ( in thousands ) is $ 329500 ;"], ["text_10", "although the principal amount of each tranche is not due until the dates given above , entergy gulf states reconstruction funding expects to make principal payments on the bonds over the next five years in the amounts of $ 26 million for 2016 , $ 27.6 million for 2017 , $ 29.2 million for 2018 , $ 30.9 million for 2019 , and $ 32.8 million for 2020 ."]]}, "answers": ["9.96%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000796", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the principal payment in 2020 as a percentage of the total senior secured transition bonds?\nReference time interval: 2020-01-01 00:00:00 to 2021-01-01 00:00:00", "chosen": "9.96%.", "rejected": "8.38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the principal payment <TIME> as a percentage of the total senior secured transition bonds?", "doc_prefix": "ETR", "base_question": "what is the principal payment <TIME> as a percentage of the total senior secured transition bonds?", "original_question": "what is the principal payment in 2020 as a percentage of the total senior secured transition bonds?", "reference_time": {"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.38%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "9.96%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "ETR/2015/page_133.pdf-4", "qa": {"question": "what is the principal payment in 2020 as a percentage of the total senior secured transition bonds?", "answer": "9.96%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [4], "steps": [{"op": "multiply1-1", "arg1": "32.8", "arg2": "const_1000", "res": "32800"}, {"op": "divide1-2", "arg1": "#0", "arg2": "329500", "res": "9.96%"}], "program": "multiply(32.8, const_1000), divide(#0, 329500)", "gold_inds": {"table_5": "the total senior secured transition bonds of amount ( in thousands ) is $ 329500 ;", "text_4": "with the proceeds , entergy new orleans storm recovery funding purchased from entergy new orleans the storm recovery property , which is the right to recover from customers through a storm recovery charge amounts sufficient to service the securitization bonds .", "text_10": "although the principal amount of each tranche is not due until the dates given above , entergy gulf states reconstruction funding expects to make principal payments on the bonds over the next five years in the amounts of $ 26 million for 2016 , $ 27.6 million for 2017 , $ 29.2 million for 2018 , $ 30.9 million for 2019 , and $ 32.8 million for 2020 ."}, "exe_ans": 0.09954, "tfidftopn": {}, "program_re": "divide(multiply(32.8, const_1000), 329500)", "model_input": [["text_4", "with the proceeds , entergy new orleans storm recovery funding purchased from entergy new orleans the storm recovery property , which is the right to recover from customers through a storm recovery charge amounts sufficient to service the securitization bonds ."], ["table_5", "the total senior secured transition bonds of amount ( in thousands ) is $ 329500 ;"], ["text_10", "although the principal amount of each tranche is not due until the dates given above , entergy gulf states reconstruction funding expects to make principal payments on the bonds over the next five years in the amounts of $ 26 million for 2016 , $ 27.6 million for 2017 , $ 29.2 million for 2018 , $ 30.9 million for 2019 , and $ 32.8 million for 2020 ."]]}, "answers": ["9.96%"]}, "rejected_source": {"id": "ETR/2015/page_133.pdf-3", "qa": {"question": "what is the principal payment in 2017 as a percentage of the total senior secured transition bonds?", "answer": "8.38%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [4], "steps": [{"op": "multiply2-1", "arg1": "27.6", "arg2": "const_1000", "res": "27600"}, {"op": "divide2-2", "arg1": "#0", "arg2": "329500", "res": "8.38%"}], "program": "multiply(27.6, const_1000), divide(#0, 329500)", "gold_inds": {"table_5": "the total senior secured transition bonds of amount ( in thousands ) is $ 329500 ;", "text_4": "with the proceeds , entergy new orleans storm recovery funding purchased from entergy new orleans the storm recovery property , which is the right to recover from customers through a storm recovery charge amounts sufficient to service the securitization bonds .", "text_10": "although the principal amount of each tranche is not due until the dates given above , entergy gulf states reconstruction funding expects to make principal payments on the bonds over the next five years in the amounts of $ 26 million for 2016 , $ 27.6 million for 2017 , $ 29.2 million for 2018 , $ 30.9 million for 2019 , and $ 32.8 million for 2020 ."}, "exe_ans": 0.08376, "tfidftopn": {}, "program_re": "divide(multiply(27.6, const_1000), 329500)", "model_input": [["text_4", "with the proceeds , entergy new orleans storm recovery funding purchased from entergy new orleans the storm recovery property , which is the right to recover from customers through a storm recovery charge amounts sufficient to service the securitization bonds ."], ["table_5", "the total senior secured transition bonds of amount ( in thousands ) is $ 329500 ;"], ["text_10", "although the principal amount of each tranche is not due until the dates given above , entergy gulf states reconstruction funding expects to make principal payments on the bonds over the next five years in the amounts of $ 26 million for 2016 , $ 27.6 million for 2017 , $ 29.2 million for 2018 , $ 30.9 million for 2019 , and $ 32.8 million for 2020 ."]]}, "answers": ["8.38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000797", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total net revenue was noninterest revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "42%.", "rejected": "49%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percent of total net revenue was noninterest revenue <TIME>?", "doc_prefix": "JPM", "base_question": "what percent of total net revenue was noninterest revenue <TIME>?", "original_question": "what percent of total net revenue was noninterest revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"42%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "49%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "JPM/2009/page_55.pdf-2", "qa": {"question": "what percent of total net revenue was noninterest revenue in 2008?", "answer": "42%", "explanation": "", "ann_table_rows": [9, 11], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "28473", "arg2": "67252", "res": "42%"}], "program": "divide(28473, 67252)", "gold_inds": {"table_9": "year ended december 31 ( in millions ) the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ; the noninterest revenue of 2007 is 44966 ;", "table_11": "year ended december 31 ( in millions ) the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ; the total net revenue of 2007 is $ 71372 ;"}, "exe_ans": 0.42338, "tfidftopn": {"text_4": "2009 compared with 2008 total net revenue was $ 100.4 billion , up by $ 33.2 billion , or 49% ( 49 % ) , from the prior year ."}, "program_re": "divide(28473, 67252)", "model_input": [["table_9", "year ended december 31 ( in millions ) the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ; the noninterest revenue of 2007 is 44966 ;"], ["table_11", "year ended december 31 ( in millions ) the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ; the total net revenue of 2007 is $ 71372 ;"], ["text_4", "2009 compared with 2008 total net revenue was $ 100.4 billion , up by $ 33.2 billion , or 49% ( 49 % ) , from the prior year ."]]}, "answers": ["42%"]}, "rejected_source": {"id": "JPM/2009/page_55.pdf-1", "qa": {"question": "what percent of total net revenue was noninterest revenue in 2009?", "answer": "49%", "explanation": "", "ann_table_rows": [9, 11], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "49282", "arg2": "100434", "res": "49%"}], "program": "divide(49282, 100434)", "gold_inds": {"table_9": "year ended december 31 ( in millions ) the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ; the noninterest revenue of 2007 is 44966 ;", "table_11": "year ended december 31 ( in millions ) the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ; the total net revenue of 2007 is $ 71372 ;"}, "exe_ans": 0.49069, "tfidftopn": {"text_4": "2009 compared with 2008 total net revenue was $ 100.4 billion , up by $ 33.2 billion , or 49% ( 49 % ) , from the prior year ."}, "program_re": "divide(49282, 100434)", "model_input": [["table_9", "year ended december 31 ( in millions ) the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ; the noninterest revenue of 2007 is 44966 ;"], ["table_11", "year ended december 31 ( in millions ) the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ; the total net revenue of 2007 is $ 71372 ;"], ["text_4", "2009 compared with 2008 total net revenue was $ 100.4 billion , up by $ 33.2 billion , or 49% ( 49 % ) , from the prior year ."]]}, "answers": ["49%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000798", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total net revenue was noninterest revenue in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "49%.", "rejected": "42%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percent of total net revenue was noninterest revenue <TIME>?", "doc_prefix": "JPM", "base_question": "what percent of total net revenue was noninterest revenue <TIME>?", "original_question": "what percent of total net revenue was noninterest revenue in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"42%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "49%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "JPM/2009/page_55.pdf-1", "qa": {"question": "what percent of total net revenue was noninterest revenue in 2009?", "answer": "49%", "explanation": "", "ann_table_rows": [9, 11], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "49282", "arg2": "100434", "res": "49%"}], "program": "divide(49282, 100434)", "gold_inds": {"table_9": "year ended december 31 ( in millions ) the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ; the noninterest revenue of 2007 is 44966 ;", "table_11": "year ended december 31 ( in millions ) the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ; the total net revenue of 2007 is $ 71372 ;"}, "exe_ans": 0.49069, "tfidftopn": {"text_4": "2009 compared with 2008 total net revenue was $ 100.4 billion , up by $ 33.2 billion , or 49% ( 49 % ) , from the prior year ."}, "program_re": "divide(49282, 100434)", "model_input": [["table_9", "year ended december 31 ( in millions ) the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ; the noninterest revenue of 2007 is 44966 ;"], ["table_11", "year ended december 31 ( in millions ) the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ; the total net revenue of 2007 is $ 71372 ;"], ["text_4", "2009 compared with 2008 total net revenue was $ 100.4 billion , up by $ 33.2 billion , or 49% ( 49 % ) , from the prior year ."]]}, "answers": ["49%"]}, "rejected_source": {"id": "JPM/2009/page_55.pdf-2", "qa": {"question": "what percent of total net revenue was noninterest revenue in 2008?", "answer": "42%", "explanation": "", "ann_table_rows": [9, 11], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "28473", "arg2": "67252", "res": "42%"}], "program": "divide(28473, 67252)", "gold_inds": {"table_9": "year ended december 31 ( in millions ) the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ; the noninterest revenue of 2007 is 44966 ;", "table_11": "year ended december 31 ( in millions ) the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ; the total net revenue of 2007 is $ 71372 ;"}, "exe_ans": 0.42338, "tfidftopn": {"text_4": "2009 compared with 2008 total net revenue was $ 100.4 billion , up by $ 33.2 billion , or 49% ( 49 % ) , from the prior year ."}, "program_re": "divide(28473, 67252)", "model_input": [["table_9", "year ended december 31 ( in millions ) the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ; the noninterest revenue of 2007 is 44966 ;"], ["table_11", "year ended december 31 ( in millions ) the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ; the total net revenue of 2007 is $ 71372 ;"], ["text_4", "2009 compared with 2008 total net revenue was $ 100.4 billion , up by $ 33.2 billion , or 49% ( 49 % ) , from the prior year ."]]}, "answers": ["42%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000799", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2000 to 2001?\nReference time interval: 2000-01-01 00:00:00 to 2002-01-01 00:00:00", "chosen": "-32%.", "rejected": "45%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2000 to 2001?", "reference_time": {"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2002/page_23.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2000 to 2001?", "answer": "-32%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5363", "arg2": "7983", "res": "-2620"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7983", "res": "-32%"}], "program": "subtract(5363, 7983), divide(#0, 7983)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": -0.3282, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "text_19": "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."}, "program_re": "divide(subtract(5363, 7983), 7983)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["-32%"]}, "rejected_source": {"id": "AAPL/2012/page_36.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2011 to 2012?", "answer": "45%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "156508", "arg2": "108249", "res": "48259"}, {"op": "divide1-2", "arg1": "#0", "arg2": "108249", "res": "45%"}], "program": "subtract(156508, 108249), divide(#0, 108249)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.44581, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(156508, 108249), 108249)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["45%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000800", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2000 to 2001?\nReference time interval: 2000-01-01 00:00:00 to 2002-01-01 00:00:00", "chosen": "-32%.", "rejected": "66%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2000 to 2001?", "reference_time": {"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2002/page_23.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2000 to 2001?", "answer": "-32%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5363", "arg2": "7983", "res": "-2620"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7983", "res": "-32%"}], "program": "subtract(5363, 7983), divide(#0, 7983)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": -0.3282, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "text_19": "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."}, "program_re": "divide(subtract(5363, 7983), 7983)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["-32%"]}, "rejected_source": {"id": "AAPL/2012/page_36.pdf-3", "qa": {"question": "what was the percentage change in net sales from 2010 to 2011?", "answer": "66%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "108249", "arg2": "65225", "res": "43024"}, {"op": "divide2-2", "arg1": "#0", "arg2": "65225", "res": "66%"}], "program": "subtract(108249, 65225), divide(#0, 65225)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.65962, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(108249, 65225), 65225)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["66%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000801", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2000 to 2001?\nReference time interval: 2000-01-01 00:00:00 to 2002-01-01 00:00:00", "chosen": "-32%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2000 to 2001?", "reference_time": {"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2002/page_23.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2000 to 2001?", "answer": "-32%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5363", "arg2": "7983", "res": "-2620"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7983", "res": "-32%"}], "program": "subtract(5363, 7983), divide(#0, 7983)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": -0.3282, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "text_19": "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."}, "program_re": "divide(subtract(5363, 7983), 7983)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["-32%"]}, "rejected_source": {"id": "AAPL/2002/page_23.pdf-2", "qa": {"question": "what was the percentage change in net sales from 2001 to 2002?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5742", "arg2": "5363", "res": "379"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5363", "res": "7%"}], "program": "subtract(5742, 5363), divide(#0, 5363)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": 0.07067, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "table_2": "The cost of sales of 2002 is 4139 ; The cost of sales of 2001 is 4128 ; The cost of sales of 2000 is 5817 ;"}, "program_re": "divide(subtract(5742, 5363), 5363)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000802", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "45%.", "rejected": "-32%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_36.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2011 to 2012?", "answer": "45%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "156508", "arg2": "108249", "res": "48259"}, {"op": "divide1-2", "arg1": "#0", "arg2": "108249", "res": "45%"}], "program": "subtract(156508, 108249), divide(#0, 108249)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.44581, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(156508, 108249), 108249)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["45%"]}, "rejected_source": {"id": "AAPL/2002/page_23.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2000 to 2001?", "answer": "-32%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5363", "arg2": "7983", "res": "-2620"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7983", "res": "-32%"}], "program": "subtract(5363, 7983), divide(#0, 7983)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": -0.3282, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "text_19": "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."}, "program_re": "divide(subtract(5363, 7983), 7983)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["-32%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000803", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "45%.", "rejected": "66%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_36.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2011 to 2012?", "answer": "45%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "156508", "arg2": "108249", "res": "48259"}, {"op": "divide1-2", "arg1": "#0", "arg2": "108249", "res": "45%"}], "program": "subtract(156508, 108249), divide(#0, 108249)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.44581, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(156508, 108249), 108249)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["45%"]}, "rejected_source": {"id": "AAPL/2012/page_36.pdf-3", "qa": {"question": "what was the percentage change in net sales from 2010 to 2011?", "answer": "66%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "108249", "arg2": "65225", "res": "43024"}, {"op": "divide2-2", "arg1": "#0", "arg2": "65225", "res": "66%"}], "program": "subtract(108249, 65225), divide(#0, 65225)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.65962, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(108249, 65225), 65225)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["66%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000804", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "45%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_36.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2011 to 2012?", "answer": "45%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "156508", "arg2": "108249", "res": "48259"}, {"op": "divide1-2", "arg1": "#0", "arg2": "108249", "res": "45%"}], "program": "subtract(156508, 108249), divide(#0, 108249)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.44581, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(156508, 108249), 108249)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["45%"]}, "rejected_source": {"id": "AAPL/2002/page_23.pdf-2", "qa": {"question": "what was the percentage change in net sales from 2001 to 2002?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5742", "arg2": "5363", "res": "379"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5363", "res": "7%"}], "program": "subtract(5742, 5363), divide(#0, 5363)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": 0.07067, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "table_2": "The cost of sales of 2002 is 4139 ; The cost of sales of 2001 is 4128 ; The cost of sales of 2000 is 5817 ;"}, "program_re": "divide(subtract(5742, 5363), 5363)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000805", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "66%.", "rejected": "-32%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_36.pdf-3", "qa": {"question": "what was the percentage change in net sales from 2010 to 2011?", "answer": "66%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "108249", "arg2": "65225", "res": "43024"}, {"op": "divide2-2", "arg1": "#0", "arg2": "65225", "res": "66%"}], "program": "subtract(108249, 65225), divide(#0, 65225)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.65962, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(108249, 65225), 65225)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["66%"]}, "rejected_source": {"id": "AAPL/2002/page_23.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2000 to 2001?", "answer": "-32%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5363", "arg2": "7983", "res": "-2620"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7983", "res": "-32%"}], "program": "subtract(5363, 7983), divide(#0, 7983)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": -0.3282, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "text_19": "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."}, "program_re": "divide(subtract(5363, 7983), 7983)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["-32%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000806", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "66%.", "rejected": "45%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_36.pdf-3", "qa": {"question": "what was the percentage change in net sales from 2010 to 2011?", "answer": "66%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "108249", "arg2": "65225", "res": "43024"}, {"op": "divide2-2", "arg1": "#0", "arg2": "65225", "res": "66%"}], "program": "subtract(108249, 65225), divide(#0, 65225)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.65962, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(108249, 65225), 65225)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["66%"]}, "rejected_source": {"id": "AAPL/2012/page_36.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2011 to 2012?", "answer": "45%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "156508", "arg2": "108249", "res": "48259"}, {"op": "divide1-2", "arg1": "#0", "arg2": "108249", "res": "45%"}], "program": "subtract(156508, 108249), divide(#0, 108249)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.44581, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(156508, 108249), 108249)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["45%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000807", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "66%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_36.pdf-3", "qa": {"question": "what was the percentage change in net sales from 2010 to 2011?", "answer": "66%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "108249", "arg2": "65225", "res": "43024"}, {"op": "divide2-2", "arg1": "#0", "arg2": "65225", "res": "66%"}], "program": "subtract(108249, 65225), divide(#0, 65225)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.65962, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(108249, 65225), 65225)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["66%"]}, "rejected_source": {"id": "AAPL/2002/page_23.pdf-2", "qa": {"question": "what was the percentage change in net sales from 2001 to 2002?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5742", "arg2": "5363", "res": "379"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5363", "res": "7%"}], "program": "subtract(5742, 5363), divide(#0, 5363)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": 0.07067, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "table_2": "The cost of sales of 2002 is 4139 ; The cost of sales of 2001 is 4128 ; The cost of sales of 2000 is 5817 ;"}, "program_re": "divide(subtract(5742, 5363), 5363)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000808", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2001 to 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "7%.", "rejected": "-32%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2001 to 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2002/page_23.pdf-2", "qa": {"question": "what was the percentage change in net sales from 2001 to 2002?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5742", "arg2": "5363", "res": "379"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5363", "res": "7%"}], "program": "subtract(5742, 5363), divide(#0, 5363)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": 0.07067, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "table_2": "The cost of sales of 2002 is 4139 ; The cost of sales of 2001 is 4128 ; The cost of sales of 2000 is 5817 ;"}, "program_re": "divide(subtract(5742, 5363), 5363)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "AAPL/2002/page_23.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2000 to 2001?", "answer": "-32%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5363", "arg2": "7983", "res": "-2620"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7983", "res": "-32%"}], "program": "subtract(5363, 7983), divide(#0, 7983)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": -0.3282, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "text_19": "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."}, "program_re": "divide(subtract(5363, 7983), 7983)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["-32%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000809", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2001 to 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "7%.", "rejected": "45%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2001 to 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2002/page_23.pdf-2", "qa": {"question": "what was the percentage change in net sales from 2001 to 2002?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5742", "arg2": "5363", "res": "379"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5363", "res": "7%"}], "program": "subtract(5742, 5363), divide(#0, 5363)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": 0.07067, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "table_2": "The cost of sales of 2002 is 4139 ; The cost of sales of 2001 is 4128 ; The cost of sales of 2000 is 5817 ;"}, "program_re": "divide(subtract(5742, 5363), 5363)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "AAPL/2012/page_36.pdf-1", "qa": {"question": "what was the percentage change in net sales from 2011 to 2012?", "answer": "45%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "156508", "arg2": "108249", "res": "48259"}, {"op": "divide1-2", "arg1": "#0", "arg2": "108249", "res": "45%"}], "program": "subtract(156508, 108249), divide(#0, 108249)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.44581, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(156508, 108249), 108249)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["45%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000810", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales from 2001 to 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "7%.", "rejected": "66%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in net sales <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in net sales <TIME>?", "original_question": "what was the percentage change in net sales from 2001 to 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-32%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "7%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "66%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "45%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "AAPL/2002/page_23.pdf-2", "qa": {"question": "what was the percentage change in net sales from 2001 to 2002?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5742", "arg2": "5363", "res": "379"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5363", "res": "7%"}], "program": "subtract(5742, 5363), divide(#0, 5363)", "gold_inds": {"table_1": "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"}, "exe_ans": 0.07067, "tfidftopn": {"table_4": "The gross margin percentage of 2002 is 28% ( 28 % ) ; The gross margin percentage of 2001 is 23% ( 23 % ) ; The gross margin percentage of 2000 is 27% ( 27 % ) ;", "table_2": "The cost of sales of 2002 is 4139 ; The cost of sales of 2001 is 4128 ; The cost of sales of 2000 is 5817 ;"}, "program_re": "divide(subtract(5742, 5363), 5363)", "model_input": [["text_5", "further information regarding the company's backlog may be found below under the heading \"factors that may affect future results and financial condition.\" gross margin gross margin for the three fiscal years ended september 28 , 2002 are as follows ( in millions , except gross margin percentages ) : gross margin increased to 28% ( 28 % ) of net sales in 2002 from 23% ( 23 % ) in 2001 ."], ["text_19", "gross margin declined to 23% ( 23 % ) of net sales in 2001 from 27% ( 27 % ) in 2000 ."], ["table_1", "the net sales of 2002 is $ 5742 ; the net sales of 2001 is $ 5363 ; the net sales of 2000 is $ 7983 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "AAPL/2012/page_36.pdf-3", "qa": {"question": "what was the percentage change in net sales from 2010 to 2011?", "answer": "66%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "108249", "arg2": "65225", "res": "43024"}, {"op": "divide2-2", "arg1": "#0", "arg2": "65225", "res": "66%"}], "program": "subtract(108249, 65225), divide(#0, 65225)", "gold_inds": {"table_1": "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"}, "exe_ans": 0.65962, "tfidftopn": {"table_2": "The cost of sales of 2012 is 87846 ; The cost of sales of 2011 is 64431 ; The cost of sales of 2010 is 39541 ;", "table_4": "The gross margin percentage of 2012 is 43.9% ( 43.9 % ) ; The gross margin percentage of 2011 is 40.5% ( 40.5 % ) ; The gross margin percentage of 2010 is 39.4% ( 39.4 % ) ;"}, "program_re": "divide(subtract(108249, 65225), 65225)", "model_input": [["text_0", "$ 43.3 million in 2011 compared to $ 34.1 million in 2010 ."], ["table_1", "the net sales of 2012 is $ 156508 ; the net sales of 2011 is $ 108249 ; the net sales of 2010 is $ 65225 ;"], ["text_12", "dollar ; partially offset by lower commodity costs ."]]}, "answers": ["66%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000811", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 are due to maturities of long-term debt in 2016?\nReference time interval: 2015-12-31 00:00:00 to 2016-01-01 00:00:00", "chosen": "6%.", "rejected": "61%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> are due to maturities of long-term debt <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> are due to maturities of long-term debt <TIME>?", "original_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 are due to maturities of long-term debt in 2016?", "reference_time": {"start": "2015-12-31 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2015-12-31 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015-12-31"}], "61%": [{"start": "2015-12-31 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015-12-31"}]}, "chosen_source": {"id": "IP/2015/page_51.pdf-1", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 are due to maturities of long-term debt in 2016?", "answer": "6%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "43", "arg2": "679", "res": "6%"}], "program": "divide(43, 679)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2015 is $ 426 ; the maturities of long-term debt ( a ) of 2016 is $ 43 ; the maturities of long-term debt ( a ) of 2017 is $ 811 ; the maturities of long-term debt ( a ) of 2018 is $ 427 ; the maturities of long-term debt ( a ) of 2019 is $ 183 ; the maturities of long-term debt ( a ) of thereafter is $ 7436 ;", "table_4": "in millions the total ( c ) of 2015 is $ 3545 ; the total ( c ) of 2016 is $ 679 ; the total ( c ) of 2017 is $ 1330 ; the total ( c ) of 2018 is $ 853 ; the total ( c ) of 2019 is $ 582 ; the total ( c ) of thereafter is $ 9143 ;"}, "exe_ans": 0.06333, "tfidftopn": {"text_6": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 , were as follows: ."}, "program_re": "divide(43, 679)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2015 is $ 426 ; the maturities of long-term debt ( a ) of 2016 is $ 43 ; the maturities of long-term debt ( a ) of 2017 is $ 811 ; the maturities of long-term debt ( a ) of 2018 is $ 427 ; the maturities of long-term debt ( a ) of 2019 is $ 183 ; the maturities of long-term debt ( a ) of thereafter is $ 7436 ;"], ["table_2", "in millions the lease obligations of 2015 is 118 ; the lease obligations of 2016 is 95 ; the lease obligations of 2017 is 72 ; the lease obligations of 2018 is 55 ; the lease obligations of 2019 is 41 ; the lease obligations of thereafter is 128 ;"], ["table_4", "in millions the total ( c ) of 2015 is $ 3545 ; the total ( c ) of 2016 is $ 679 ; the total ( c ) of 2017 is $ 1330 ; the total ( c ) of 2018 is $ 853 ; the total ( c ) of 2019 is $ 582 ; the total ( c ) of thereafter is $ 9143 ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "IP/2015/page_51.pdf-2", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 are due to maturities of long-term debt in 2017?", "answer": "61%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "811", "arg2": "1330", "res": "61%"}], "program": "divide(811, 1330)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2015 is $ 426 ; the maturities of long-term debt ( a ) of 2016 is $ 43 ; the maturities of long-term debt ( a ) of 2017 is $ 811 ; the maturities of long-term debt ( a ) of 2018 is $ 427 ; the maturities of long-term debt ( a ) of 2019 is $ 183 ; the maturities of long-term debt ( a ) of thereafter is $ 7436 ;", "table_4": "in millions the total ( c ) of 2015 is $ 3545 ; the total ( c ) of 2016 is $ 679 ; the total ( c ) of 2017 is $ 1330 ; the total ( c ) of 2018 is $ 853 ; the total ( c ) of 2019 is $ 582 ; the total ( c ) of thereafter is $ 9143 ;"}, "exe_ans": 0.60977, "tfidftopn": {"text_6": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 , were as follows: ."}, "program_re": "divide(811, 1330)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2015 is $ 426 ; the maturities of long-term debt ( a ) of 2016 is $ 43 ; the maturities of long-term debt ( a ) of 2017 is $ 811 ; the maturities of long-term debt ( a ) of 2018 is $ 427 ; the maturities of long-term debt ( a ) of 2019 is $ 183 ; the maturities of long-term debt ( a ) of thereafter is $ 7436 ;"], ["table_2", "in millions the lease obligations of 2015 is 118 ; the lease obligations of 2016 is 95 ; the lease obligations of 2017 is 72 ; the lease obligations of 2018 is 55 ; the lease obligations of 2019 is 41 ; the lease obligations of thereafter is 128 ;"], ["table_4", "in millions the total ( c ) of 2015 is $ 3545 ; the total ( c ) of 2016 is $ 679 ; the total ( c ) of 2017 is $ 1330 ; the total ( c ) of 2018 is $ 853 ; the total ( c ) of 2019 is $ 582 ; the total ( c ) of thereafter is $ 9143 ;"]]}, "answers": ["61%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000812", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 are due to maturities of long-term debt in 2017?\nReference time interval: 2015-12-31 00:00:00 to 2016-01-01 00:00:00", "chosen": "61%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> are due to maturities of long-term debt <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> are due to maturities of long-term debt <TIME>?", "original_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 are due to maturities of long-term debt in 2017?", "reference_time": {"start": "2015-12-31 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2015-12-31 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015-12-31"}], "61%": [{"start": "2015-12-31 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015-12-31"}]}, "chosen_source": {"id": "IP/2015/page_51.pdf-2", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 are due to maturities of long-term debt in 2017?", "answer": "61%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "811", "arg2": "1330", "res": "61%"}], "program": "divide(811, 1330)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2015 is $ 426 ; the maturities of long-term debt ( a ) of 2016 is $ 43 ; the maturities of long-term debt ( a ) of 2017 is $ 811 ; the maturities of long-term debt ( a ) of 2018 is $ 427 ; the maturities of long-term debt ( a ) of 2019 is $ 183 ; the maturities of long-term debt ( a ) of thereafter is $ 7436 ;", "table_4": "in millions the total ( c ) of 2015 is $ 3545 ; the total ( c ) of 2016 is $ 679 ; the total ( c ) of 2017 is $ 1330 ; the total ( c ) of 2018 is $ 853 ; the total ( c ) of 2019 is $ 582 ; the total ( c ) of thereafter is $ 9143 ;"}, "exe_ans": 0.60977, "tfidftopn": {"text_6": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 , were as follows: ."}, "program_re": "divide(811, 1330)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2015 is $ 426 ; the maturities of long-term debt ( a ) of 2016 is $ 43 ; the maturities of long-term debt ( a ) of 2017 is $ 811 ; the maturities of long-term debt ( a ) of 2018 is $ 427 ; the maturities of long-term debt ( a ) of 2019 is $ 183 ; the maturities of long-term debt ( a ) of thereafter is $ 7436 ;"], ["table_2", "in millions the lease obligations of 2015 is 118 ; the lease obligations of 2016 is 95 ; the lease obligations of 2017 is 72 ; the lease obligations of 2018 is 55 ; the lease obligations of 2019 is 41 ; the lease obligations of thereafter is 128 ;"], ["table_4", "in millions the total ( c ) of 2015 is $ 3545 ; the total ( c ) of 2016 is $ 679 ; the total ( c ) of 2017 is $ 1330 ; the total ( c ) of 2018 is $ 853 ; the total ( c ) of 2019 is $ 582 ; the total ( c ) of thereafter is $ 9143 ;"]]}, "answers": ["61%"]}, "rejected_source": {"id": "IP/2015/page_51.pdf-1", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 are due to maturities of long-term debt in 2016?", "answer": "6%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "43", "arg2": "679", "res": "6%"}], "program": "divide(43, 679)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2015 is $ 426 ; the maturities of long-term debt ( a ) of 2016 is $ 43 ; the maturities of long-term debt ( a ) of 2017 is $ 811 ; the maturities of long-term debt ( a ) of 2018 is $ 427 ; the maturities of long-term debt ( a ) of 2019 is $ 183 ; the maturities of long-term debt ( a ) of thereafter is $ 7436 ;", "table_4": "in millions the total ( c ) of 2015 is $ 3545 ; the total ( c ) of 2016 is $ 679 ; the total ( c ) of 2017 is $ 1330 ; the total ( c ) of 2018 is $ 853 ; the total ( c ) of 2019 is $ 582 ; the total ( c ) of thereafter is $ 9143 ;"}, "exe_ans": 0.06333, "tfidftopn": {"text_6": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2015 , were as follows: ."}, "program_re": "divide(43, 679)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2015 is $ 426 ; the maturities of long-term debt ( a ) of 2016 is $ 43 ; the maturities of long-term debt ( a ) of 2017 is $ 811 ; the maturities of long-term debt ( a ) of 2018 is $ 427 ; the maturities of long-term debt ( a ) of 2019 is $ 183 ; the maturities of long-term debt ( a ) of thereafter is $ 7436 ;"], ["table_2", "in millions the lease obligations of 2015 is 118 ; the lease obligations of 2016 is 95 ; the lease obligations of 2017 is 72 ; the lease obligations of 2018 is 55 ; the lease obligations of 2019 is 41 ; the lease obligations of thereafter is 128 ;"], ["table_4", "in millions the total ( c ) of 2015 is $ 3545 ; the total ( c ) of 2016 is $ 679 ; the total ( c ) of 2017 is $ 1330 ; the total ( c ) of 2018 is $ 853 ; the total ( c ) of 2019 is $ 582 ; the total ( c ) of thereafter is $ 9143 ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000813", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net cash outflow related to future lease payments in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "14948.", "rejected": "23595.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the net cash outflow related to future lease payments <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the net cash outflow related to future lease payments <TIME>?", "original_question": "what is the net cash outflow related to future lease payments in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"23595": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "14948": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "ADBE/2003/page_126.pdf-3", "qa": {"question": "what is the net cash outflow related to future lease payments in 2005?", "answer": "14948", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20746", "arg2": "5798", "res": "14948"}], "program": "subtract(20746, 5798)", "gold_inds": {"table_4": "fiscal year the 2007 of future minimum lease payments is 12188 ; the 2007 of future minimum sublease income is 3819 ;", "table_2": "fiscal year the 2005 of future minimum lease payments is 20746 ; the 2005 of future minimum sublease income is 5798 ;"}, "exe_ans": 14948.0, "tfidftopn": {"table_6": "fiscal year The thereafter of future minimum lease payments is 20900 ; The thereafter of future minimum sublease income is 2811 ;"}, "program_re": "subtract(20746, 5798)", "model_input": [["table_1", "fiscal year the 2004 of future minimum lease payments is $ 29454 ; the 2004 of future minimum sublease income is $ 5859 ;"], ["table_2", "fiscal year the 2005 of future minimum lease payments is 20746 ; the 2005 of future minimum sublease income is 5798 ;"], ["table_4", "fiscal year the 2007 of future minimum lease payments is 12188 ; the 2007 of future minimum sublease income is 3819 ;"]]}, "answers": ["14948"]}, "rejected_source": {"id": "ADBE/2003/page_126.pdf-1", "qa": {"question": "what is the net cash outflow related to future lease payments in 2004?", "answer": "23595", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29454", "arg2": "5859", "res": "23595"}], "program": "subtract(29454, 5859)", "gold_inds": {"table_1": "fiscal year the 2004 of future minimum lease payments is $ 29454 ; the 2004 of future minimum sublease income is $ 5859 ;"}, "exe_ans": 23595.0, "tfidftopn": {"table_6": "fiscal year The thereafter of future minimum lease payments is 20900 ; The thereafter of future minimum sublease income is 2811 ;", "text_12": "as of november 28 , 2003 , future minimum lease payments under noncancelable operating leases and future minimum sublease income under noncancelable subleases are as follows : fiscal year future minimum lease payments future minimum sublease income ."}, "program_re": "subtract(29454, 5859)", "model_input": [["table_1", "fiscal year the 2004 of future minimum lease payments is $ 29454 ; the 2004 of future minimum sublease income is $ 5859 ;"], ["table_2", "fiscal year the 2005 of future minimum lease payments is 20746 ; the 2005 of future minimum sublease income is 5798 ;"], ["table_7", "fiscal year the total of future minimum lease payments is $ 109680 ; the total of future minimum sublease income is $ 25804 ;"]]}, "answers": ["23595"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000814", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net cash outflow related to future lease payments in 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "23595.", "rejected": "14948.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the net cash outflow related to future lease payments <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the net cash outflow related to future lease payments <TIME>?", "original_question": "what is the net cash outflow related to future lease payments in 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"23595": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "14948": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "ADBE/2003/page_126.pdf-1", "qa": {"question": "what is the net cash outflow related to future lease payments in 2004?", "answer": "23595", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29454", "arg2": "5859", "res": "23595"}], "program": "subtract(29454, 5859)", "gold_inds": {"table_1": "fiscal year the 2004 of future minimum lease payments is $ 29454 ; the 2004 of future minimum sublease income is $ 5859 ;"}, "exe_ans": 23595.0, "tfidftopn": {"table_6": "fiscal year The thereafter of future minimum lease payments is 20900 ; The thereafter of future minimum sublease income is 2811 ;", "text_12": "as of november 28 , 2003 , future minimum lease payments under noncancelable operating leases and future minimum sublease income under noncancelable subleases are as follows : fiscal year future minimum lease payments future minimum sublease income ."}, "program_re": "subtract(29454, 5859)", "model_input": [["table_1", "fiscal year the 2004 of future minimum lease payments is $ 29454 ; the 2004 of future minimum sublease income is $ 5859 ;"], ["table_2", "fiscal year the 2005 of future minimum lease payments is 20746 ; the 2005 of future minimum sublease income is 5798 ;"], ["table_7", "fiscal year the total of future minimum lease payments is $ 109680 ; the total of future minimum sublease income is $ 25804 ;"]]}, "answers": ["23595"]}, "rejected_source": {"id": "ADBE/2003/page_126.pdf-3", "qa": {"question": "what is the net cash outflow related to future lease payments in 2005?", "answer": "14948", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20746", "arg2": "5798", "res": "14948"}], "program": "subtract(20746, 5798)", "gold_inds": {"table_4": "fiscal year the 2007 of future minimum lease payments is 12188 ; the 2007 of future minimum sublease income is 3819 ;", "table_2": "fiscal year the 2005 of future minimum lease payments is 20746 ; the 2005 of future minimum sublease income is 5798 ;"}, "exe_ans": 14948.0, "tfidftopn": {"table_6": "fiscal year The thereafter of future minimum lease payments is 20900 ; The thereafter of future minimum sublease income is 2811 ;"}, "program_re": "subtract(20746, 5798)", "model_input": [["table_1", "fiscal year the 2004 of future minimum lease payments is $ 29454 ; the 2004 of future minimum sublease income is $ 5859 ;"], ["table_2", "fiscal year the 2005 of future minimum lease payments is 20746 ; the 2005 of future minimum sublease income is 5798 ;"], ["table_4", "fiscal year the 2007 of future minimum lease payments is 12188 ; the 2007 of future minimum sublease income is 3819 ;"]]}, "answers": ["14948"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000815", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash paid for income taxes , net of refunds received between 2016 and 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "167%.", "rejected": "67%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HST || what was the percentage change in cash paid for income taxes , net of refunds received <TIME>?", "doc_prefix": "HST", "base_question": "what was the percentage change in cash paid for income taxes , net of refunds received <TIME>?", "original_question": "what was the percentage change in cash paid for income taxes , net of refunds received between 2016 and 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"67%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016"}], "167%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}]}, "chosen_source": {"id": "HST/2017/page_142.pdf-2", "qa": {"question": "what was the percentage change in cash paid for income taxes , net of refunds received between 2016 and 2017?", "answer": "167%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus2-1", "arg1": "40", "arg2": "15", "res": "25"}, {"op": "divide2-2", "arg1": "#0", "arg2": "15", "res": "167%"}], "program": "subtract(40, 15), divide(#0, 15)", "gold_inds": {"text_0": "host hotels & resorts , inc. , host hotels & resorts , l.p. , and subsidiaries notes to consolidated financial statements 2014 ( continued ) cash paid for income taxes , net of refunds received , was $ 40 million , $ 15 million , and $ 9 million in 2017 , 2016 , and 2015 , respectively ."}, "exe_ans": 1.66667, "tfidftopn": {"text_5": "there were no material interest or penalties recorded for the years ended december 31 , 2017 , 2016 , and 2015 .", "text_10": "certain of these leases contain provisions for the payment of contingent rentals based on a percentage of sales in excess of stipulated amounts ."}, "program_re": "divide(subtract(40, 15), 15)", "model_input": [["text_0", "host hotels & resorts , inc. , host hotels & resorts , l.p. , and subsidiaries notes to consolidated financial statements 2014 ( continued ) cash paid for income taxes , net of refunds received , was $ 40 million , $ 15 million , and $ 9 million in 2017 , 2016 , and 2015 , respectively ."], ["table_1", "the balance at january 1 of 2017 is $ 11 ; the balance at january 1 of 2016 is $ 11 ;"], ["table_2", "the balance at december 31 of 2017 is $ 11 ; the balance at december 31 of 2016 is $ 11 ;"]]}, "answers": ["167%"]}, "rejected_source": {"id": "HST/2017/page_142.pdf-1", "qa": {"question": "what was the percentage change in cash paid for income taxes , net of refunds received between 2015 and 2016?", "answer": "67%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "15", "arg2": "9", "res": "6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "9", "res": "67%"}], "program": "subtract(15, 9), divide(#0, 9)", "gold_inds": {"text_0": "host hotels & resorts , inc. , host hotels & resorts , l.p. , and subsidiaries notes to consolidated financial statements 2014 ( continued ) cash paid for income taxes , net of refunds received , was $ 40 million , $ 15 million , and $ 9 million in 2017 , 2016 , and 2015 , respectively ."}, "exe_ans": 0.66667, "tfidftopn": {"text_5": "there were no material interest or penalties recorded for the years ended december 31 , 2017 , 2016 , and 2015 .", "text_10": "certain of these leases contain provisions for the payment of contingent rentals based on a percentage of sales in excess of stipulated amounts ."}, "program_re": "divide(subtract(15, 9), 9)", "model_input": [["text_0", "host hotels & resorts , inc. , host hotels & resorts , l.p. , and subsidiaries notes to consolidated financial statements 2014 ( continued ) cash paid for income taxes , net of refunds received , was $ 40 million , $ 15 million , and $ 9 million in 2017 , 2016 , and 2015 , respectively ."], ["table_1", "the balance at january 1 of 2017 is $ 11 ; the balance at january 1 of 2016 is $ 11 ;"], ["table_2", "the balance at december 31 of 2017 is $ 11 ; the balance at december 31 of 2016 is $ 11 ;"]]}, "answers": ["67%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000816", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash paid for income taxes , net of refunds received between 2015 and 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "67%.", "rejected": "167%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HST || what was the percentage change in cash paid for income taxes , net of refunds received <TIME>?", "doc_prefix": "HST", "base_question": "what was the percentage change in cash paid for income taxes , net of refunds received <TIME>?", "original_question": "what was the percentage change in cash paid for income taxes , net of refunds received between 2015 and 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"67%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016"}], "167%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}]}, "chosen_source": {"id": "HST/2017/page_142.pdf-1", "qa": {"question": "what was the percentage change in cash paid for income taxes , net of refunds received between 2015 and 2016?", "answer": "67%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "15", "arg2": "9", "res": "6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "9", "res": "67%"}], "program": "subtract(15, 9), divide(#0, 9)", "gold_inds": {"text_0": "host hotels & resorts , inc. , host hotels & resorts , l.p. , and subsidiaries notes to consolidated financial statements 2014 ( continued ) cash paid for income taxes , net of refunds received , was $ 40 million , $ 15 million , and $ 9 million in 2017 , 2016 , and 2015 , respectively ."}, "exe_ans": 0.66667, "tfidftopn": {"text_5": "there were no material interest or penalties recorded for the years ended december 31 , 2017 , 2016 , and 2015 .", "text_10": "certain of these leases contain provisions for the payment of contingent rentals based on a percentage of sales in excess of stipulated amounts ."}, "program_re": "divide(subtract(15, 9), 9)", "model_input": [["text_0", "host hotels & resorts , inc. , host hotels & resorts , l.p. , and subsidiaries notes to consolidated financial statements 2014 ( continued ) cash paid for income taxes , net of refunds received , was $ 40 million , $ 15 million , and $ 9 million in 2017 , 2016 , and 2015 , respectively ."], ["table_1", "the balance at january 1 of 2017 is $ 11 ; the balance at january 1 of 2016 is $ 11 ;"], ["table_2", "the balance at december 31 of 2017 is $ 11 ; the balance at december 31 of 2016 is $ 11 ;"]]}, "answers": ["67%"]}, "rejected_source": {"id": "HST/2017/page_142.pdf-2", "qa": {"question": "what was the percentage change in cash paid for income taxes , net of refunds received between 2016 and 2017?", "answer": "167%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus2-1", "arg1": "40", "arg2": "15", "res": "25"}, {"op": "divide2-2", "arg1": "#0", "arg2": "15", "res": "167%"}], "program": "subtract(40, 15), divide(#0, 15)", "gold_inds": {"text_0": "host hotels & resorts , inc. , host hotels & resorts , l.p. , and subsidiaries notes to consolidated financial statements 2014 ( continued ) cash paid for income taxes , net of refunds received , was $ 40 million , $ 15 million , and $ 9 million in 2017 , 2016 , and 2015 , respectively ."}, "exe_ans": 1.66667, "tfidftopn": {"text_5": "there were no material interest or penalties recorded for the years ended december 31 , 2017 , 2016 , and 2015 .", "text_10": "certain of these leases contain provisions for the payment of contingent rentals based on a percentage of sales in excess of stipulated amounts ."}, "program_re": "divide(subtract(40, 15), 15)", "model_input": [["text_0", "host hotels & resorts , inc. , host hotels & resorts , l.p. , and subsidiaries notes to consolidated financial statements 2014 ( continued ) cash paid for income taxes , net of refunds received , was $ 40 million , $ 15 million , and $ 9 million in 2017 , 2016 , and 2015 , respectively ."], ["table_1", "the balance at january 1 of 2017 is $ 11 ; the balance at january 1 of 2016 is $ 11 ;"], ["table_2", "the balance at december 31 of 2017 is $ 11 ; the balance at december 31 of 2016 is $ 11 ;"]]}, "answers": ["167%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000817", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of the ratings profile of derivative receivables were junk rated in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "12.", "rejected": "20.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percent of the ratings profile of derivative receivables were junk rated <TIME>?", "doc_prefix": "JPM", "base_question": "what percent of the ratings profile of derivative receivables were junk rated <TIME>?", "original_question": "what percent of the ratings profile of derivative receivables were junk rated in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "12": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "JPM/2014/page_128.pdf-3", "qa": {"question": "what percent of the ratings profile of derivative receivables were junk rated in 2014?", "answer": "12", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "11", "arg2": "1", "res": "12"}], "program": "add(11, 1)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6384 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 11 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 6806 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 13 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 837 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 1 ; the ccc+/caa1 and below of exposure net of all collateral is 3415 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 7 ;"}, "exe_ans": 12.0, "tfidftopn": {"text_22": "ratings profile of derivative receivables rating equivalent 2014 2013 ( a ) december 31 , ( in millions , except ratios ) exposure net of all collateral % (  % ) of exposure net of all collateral exposure net of all collateral % (  % ) of exposure net of all collateral ."}, "program_re": "add(11, 1)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6384 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 11 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 6806 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 13 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 837 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 1 ; the ccc+/caa1 and below of exposure net of all collateral is 3415 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 7 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 59371 ; the total of rating equivalent % ( % ) of exposure net of all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 51324 ; the total of % ( % ) of exposure net of all collateral is 100% ( 100 % ) ;"]]}, "answers": ["12"]}, "rejected_source": {"id": "JPM/2014/page_128.pdf-2", "qa": {"question": "what percent of the ratings profile of derivative receivables were junk rated in 2013?", "answer": "20", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "13", "arg2": "7", "res": "20"}], "program": "add(13, 7)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6384 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 11 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 6806 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 13 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 837 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 1 ; the ccc+/caa1 and below of exposure net of all collateral is 3415 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 7 ;"}, "exe_ans": 20.0, "tfidftopn": {"text_22": "ratings profile of derivative receivables rating equivalent 2014 2013 ( a ) december 31 , ( in millions , except ratios ) exposure net of all collateral % (  % ) of exposure net of all collateral exposure net of all collateral % (  % ) of exposure net of all collateral ."}, "program_re": "add(13, 7)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6384 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 11 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 6806 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 13 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 837 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 1 ; the ccc+/caa1 and below of exposure net of all collateral is 3415 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 7 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 59371 ; the total of rating equivalent % ( % ) of exposure net of all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 51324 ; the total of % ( % ) of exposure net of all collateral is 100% ( 100 % ) ;"]]}, "answers": ["20"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000818", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of the ratings profile of derivative receivables were junk rated in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "20.", "rejected": "12.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percent of the ratings profile of derivative receivables were junk rated <TIME>?", "doc_prefix": "JPM", "base_question": "what percent of the ratings profile of derivative receivables were junk rated <TIME>?", "original_question": "what percent of the ratings profile of derivative receivables were junk rated in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "12": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "JPM/2014/page_128.pdf-2", "qa": {"question": "what percent of the ratings profile of derivative receivables were junk rated in 2013?", "answer": "20", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "13", "arg2": "7", "res": "20"}], "program": "add(13, 7)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6384 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 11 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 6806 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 13 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 837 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 1 ; the ccc+/caa1 and below of exposure net of all collateral is 3415 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 7 ;"}, "exe_ans": 20.0, "tfidftopn": {"text_22": "ratings profile of derivative receivables rating equivalent 2014 2013 ( a ) december 31 , ( in millions , except ratios ) exposure net of all collateral % (  % ) of exposure net of all collateral exposure net of all collateral % (  % ) of exposure net of all collateral ."}, "program_re": "add(13, 7)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6384 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 11 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 6806 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 13 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 837 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 1 ; the ccc+/caa1 and below of exposure net of all collateral is 3415 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 7 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 59371 ; the total of rating equivalent % ( % ) of exposure net of all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 51324 ; the total of % ( % ) of exposure net of all collateral is 100% ( 100 % ) ;"]]}, "answers": ["20"]}, "rejected_source": {"id": "JPM/2014/page_128.pdf-3", "qa": {"question": "what percent of the ratings profile of derivative receivables were junk rated in 2014?", "answer": "12", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "11", "arg2": "1", "res": "12"}], "program": "add(11, 1)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6384 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 11 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 6806 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 13 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 837 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 1 ; the ccc+/caa1 and below of exposure net of all collateral is 3415 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 7 ;"}, "exe_ans": 12.0, "tfidftopn": {"text_22": "ratings profile of derivative receivables rating equivalent 2014 2013 ( a ) december 31 , ( in millions , except ratios ) exposure net of all collateral % (  % ) of exposure net of all collateral exposure net of all collateral % (  % ) of exposure net of all collateral ."}, "program_re": "add(11, 1)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 6384 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 11 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 6806 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 13 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 837 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 1 ; the ccc+/caa1 and below of exposure net of all collateral is 3415 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 7 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 59371 ; the total of rating equivalent % ( % ) of exposure net of all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 51324 ; the total of % ( % ) of exposure net of all collateral is 100% ( 100 % ) ;"]]}, "answers": ["12"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000819", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the retail electric price as a percentage of net revenue in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "2.44%.", "rejected": "4.96%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the retail electric price as a percentage of net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the retail electric price as a percentage of net revenue <TIME>?", "original_question": "what is the retail electric price as a percentage of net revenue in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.44%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "4.96%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "ETR/2015/page_24.pdf-2", "qa": {"question": "what is the retail electric price as a percentage of net revenue in 2013?", "answer": "2.44%", "explanation": "", "ann_table_rows": [2, 1], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "135", "arg2": "5524", "res": "2.44%"}], "program": "divide(135, 5524)", "gold_inds": {"table_2": "the retail electric price of amount ( in millions ) is 135 ;", "table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_2": "the retail electric price variance is primarily due to : 2022 increases in the energy efficiency rider at entergy arkansas , as approved by the apsc , effective july 2013 and july 2014 ."}, "program_re": "divide(135, 5524)", "model_input": [["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_2", "the retail electric price of amount ( in millions ) is 135 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["2.44%"]}, "rejected_source": {"id": "ETR/2017/page_25.pdf-4", "qa": {"question": "what is the retail electric price as a percentage of net revenue in 2015?", "answer": "4.96%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "289", "arg2": "5829", "res": "4.96%"}], "program": "divide(289, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_2": "the retail electric price of amount ( in millions ) is 289 ;"}, "exe_ans": 0.04958, "tfidftopn": {"text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(289, 5829)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_2", "the retail electric price of amount ( in millions ) is 289 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["4.96%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000820", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the retail electric price as a percentage of net revenue in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "4.96%.", "rejected": "2.44%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the retail electric price as a percentage of net revenue <TIME>?", "doc_prefix": "ETR", "base_question": "what is the retail electric price as a percentage of net revenue <TIME>?", "original_question": "what is the retail electric price as a percentage of net revenue in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.44%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "4.96%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "ETR/2017/page_25.pdf-4", "qa": {"question": "what is the retail electric price as a percentage of net revenue in 2015?", "answer": "4.96%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "289", "arg2": "5829", "res": "4.96%"}], "program": "divide(289, 5829)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 5829 ;", "table_2": "the retail electric price of amount ( in millions ) is 289 ;"}, "exe_ans": 0.04958, "tfidftopn": {"text_5": "net revenue utility following is an analysis of the change in net revenue comparing 2016 to 2015 ."}, "program_re": "divide(289, 5829)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 5829 ;"], ["table_2", "the retail electric price of amount ( in millions ) is 289 ;"], ["table_7", "the 2016 net revenue of amount ( in millions ) is $ 6179 ;"]]}, "answers": ["4.96%"]}, "rejected_source": {"id": "ETR/2015/page_24.pdf-2", "qa": {"question": "what is the retail electric price as a percentage of net revenue in 2013?", "answer": "2.44%", "explanation": "", "ann_table_rows": [2, 1], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "135", "arg2": "5524", "res": "2.44%"}], "program": "divide(135, 5524)", "gold_inds": {"table_2": "the retail electric price of amount ( in millions ) is 135 ;", "table_1": "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"}, "exe_ans": 0.02444, "tfidftopn": {"text_2": "the retail electric price variance is primarily due to : 2022 increases in the energy efficiency rider at entergy arkansas , as approved by the apsc , effective july 2013 and july 2014 ."}, "program_re": "divide(135, 5524)", "model_input": [["table_1", "the 2013 net revenue of amount ( in millions ) is $ 5524 ;"], ["table_2", "the retail electric price of amount ( in millions ) is 135 ;"], ["table_8", "the 2014 net revenue of amount ( in millions ) is $ 5735 ;"]]}, "answers": ["2.44%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000821", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the 2007 collateral was invested in indemnified repurchase agreements in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "18.5%.", "rejected": "20.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what portion of the <TIME> collateral was invested in indemnified repurchase agreements <TIME>?", "doc_prefix": "STT", "base_question": "what portion of the <TIME> collateral was invested in indemnified repurchase agreements <TIME>?", "original_question": "what portion of the 2007 collateral was invested in indemnified repurchase agreements in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18.5%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "20.5%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "STT/2008/page_112.pdf-2", "qa": {"question": "what portion of the 2007 collateral was invested in indemnified repurchase agreements in 2007?", "answer": "18.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "divide2-1", "arg1": "106.13", "arg2": "572.93", "res": "18.5%"}], "program": "divide(106.13, 572.93)", "gold_inds": {"text_15": "of the collateral of $ 333.07 billion at december 31 , 2008 and $ 572.93 billion at december 31 , 2007 referenced above , $ 68.37 billion at december 31 , 2008 and $ 106.13 billion at december 31 , 2007 was invested in indemnified repurchase agreements ."}, "exe_ans": 0.18524, "tfidftopn": {"text_12": "in certain cases , the collateral is invested in third-party repurchase agreements , for which we indemnify the customer against loss of the principal invested .", "text_14": "the indemnified repurchase agreements and the related collateral are not recorded in our consolidated statement of condition ."}, "program_re": "divide(106.13, 572.93)", "model_input": [["text_10", "government securities with an aggregate fair value of $ 333.07 billion and $ 572.93 billion as collateral for indemnified securities on loan at december 31 , 2008 and 2007 , respectively , presented in the table above ."], ["text_15", "of the collateral of $ 333.07 billion at december 31 , 2008 and $ 572.93 billion at december 31 , 2007 referenced above , $ 68.37 billion at december 31 , 2008 and $ 106.13 billion at december 31 , 2007 was invested in indemnified repurchase agreements ."], ["text_16", "we held , as agent , cash and securities with an aggregate fair value of $ 71.87 billion and $ 111.02 billion as collateral for indemnified investments in repurchase agreements at december 31 , 2008 and december 31 , 2007 , respectively ."]]}, "answers": ["18.5%"]}, "rejected_source": {"id": "STT/2008/page_112.pdf-1", "qa": {"question": "what portion of the 2008 collateral was invested in indemnified repurchase agreements in 2008?", "answer": "20.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "divide1-1", "arg1": "68.37", "arg2": "333.07", "res": "20.5%"}], "program": "divide(68.37, 333.07)", "gold_inds": {"text_15": "of the collateral of $ 333.07 billion at december 31 , 2008 and $ 572.93 billion at december 31 , 2007 referenced above , $ 68.37 billion at december 31 , 2008 and $ 106.13 billion at december 31 , 2007 was invested in indemnified repurchase agreements ."}, "exe_ans": 0.20527, "tfidftopn": {"text_12": "in certain cases , the collateral is invested in third-party repurchase agreements , for which we indemnify the customer against loss of the principal invested .", "text_14": "the indemnified repurchase agreements and the related collateral are not recorded in our consolidated statement of condition ."}, "program_re": "divide(68.37, 333.07)", "model_input": [["text_10", "government securities with an aggregate fair value of $ 333.07 billion and $ 572.93 billion as collateral for indemnified securities on loan at december 31 , 2008 and 2007 , respectively , presented in the table above ."], ["text_15", "of the collateral of $ 333.07 billion at december 31 , 2008 and $ 572.93 billion at december 31 , 2007 referenced above , $ 68.37 billion at december 31 , 2008 and $ 106.13 billion at december 31 , 2007 was invested in indemnified repurchase agreements ."], ["text_16", "we held , as agent , cash and securities with an aggregate fair value of $ 71.87 billion and $ 111.02 billion as collateral for indemnified investments in repurchase agreements at december 31 , 2008 and december 31 , 2007 , respectively ."]]}, "answers": ["20.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000822", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the 2008 collateral was invested in indemnified repurchase agreements in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "20.5%.", "rejected": "18.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what portion of the <TIME> collateral was invested in indemnified repurchase agreements <TIME>?", "doc_prefix": "STT", "base_question": "what portion of the <TIME> collateral was invested in indemnified repurchase agreements <TIME>?", "original_question": "what portion of the 2008 collateral was invested in indemnified repurchase agreements in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18.5%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "20.5%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "STT/2008/page_112.pdf-1", "qa": {"question": "what portion of the 2008 collateral was invested in indemnified repurchase agreements in 2008?", "answer": "20.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "divide1-1", "arg1": "68.37", "arg2": "333.07", "res": "20.5%"}], "program": "divide(68.37, 333.07)", "gold_inds": {"text_15": "of the collateral of $ 333.07 billion at december 31 , 2008 and $ 572.93 billion at december 31 , 2007 referenced above , $ 68.37 billion at december 31 , 2008 and $ 106.13 billion at december 31 , 2007 was invested in indemnified repurchase agreements ."}, "exe_ans": 0.20527, "tfidftopn": {"text_12": "in certain cases , the collateral is invested in third-party repurchase agreements , for which we indemnify the customer against loss of the principal invested .", "text_14": "the indemnified repurchase agreements and the related collateral are not recorded in our consolidated statement of condition ."}, "program_re": "divide(68.37, 333.07)", "model_input": [["text_10", "government securities with an aggregate fair value of $ 333.07 billion and $ 572.93 billion as collateral for indemnified securities on loan at december 31 , 2008 and 2007 , respectively , presented in the table above ."], ["text_15", "of the collateral of $ 333.07 billion at december 31 , 2008 and $ 572.93 billion at december 31 , 2007 referenced above , $ 68.37 billion at december 31 , 2008 and $ 106.13 billion at december 31 , 2007 was invested in indemnified repurchase agreements ."], ["text_16", "we held , as agent , cash and securities with an aggregate fair value of $ 71.87 billion and $ 111.02 billion as collateral for indemnified investments in repurchase agreements at december 31 , 2008 and december 31 , 2007 , respectively ."]]}, "answers": ["20.5%"]}, "rejected_source": {"id": "STT/2008/page_112.pdf-2", "qa": {"question": "what portion of the 2007 collateral was invested in indemnified repurchase agreements in 2007?", "answer": "18.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "divide2-1", "arg1": "106.13", "arg2": "572.93", "res": "18.5%"}], "program": "divide(106.13, 572.93)", "gold_inds": {"text_15": "of the collateral of $ 333.07 billion at december 31 , 2008 and $ 572.93 billion at december 31 , 2007 referenced above , $ 68.37 billion at december 31 , 2008 and $ 106.13 billion at december 31 , 2007 was invested in indemnified repurchase agreements ."}, "exe_ans": 0.18524, "tfidftopn": {"text_12": "in certain cases , the collateral is invested in third-party repurchase agreements , for which we indemnify the customer against loss of the principal invested .", "text_14": "the indemnified repurchase agreements and the related collateral are not recorded in our consolidated statement of condition ."}, "program_re": "divide(106.13, 572.93)", "model_input": [["text_10", "government securities with an aggregate fair value of $ 333.07 billion and $ 572.93 billion as collateral for indemnified securities on loan at december 31 , 2008 and 2007 , respectively , presented in the table above ."], ["text_15", "of the collateral of $ 333.07 billion at december 31 , 2008 and $ 572.93 billion at december 31 , 2007 referenced above , $ 68.37 billion at december 31 , 2008 and $ 106.13 billion at december 31 , 2007 was invested in indemnified repurchase agreements ."], ["text_16", "we held , as agent , cash and securities with an aggregate fair value of $ 71.87 billion and $ 111.02 billion as collateral for indemnified investments in repurchase agreements at december 31 , 2008 and december 31 , 2007 , respectively ."]]}, "answers": ["18.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000823", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change , in thousands , of principal maturities due in 2008 after the the debt refinancing completed on january 18 , 2007?\nReference time interval: 2007-01-18 00:00:00 to 2007-01-19 00:00:00", "chosen": "-24500.", "rejected": "-34500.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what was the change , in thousands , of principal maturities due <TIME> after the the debt refinancing completed <TIME>?", "doc_prefix": "FIS", "base_question": "what was the change , in thousands , of principal maturities due <TIME> after the the debt refinancing completed <TIME>?", "original_question": "what was the change , in thousands , of principal maturities due in 2008 after the the debt refinancing completed on january 18 , 2007?", "reference_time": {"start": "2007-01-18 00:00:00", "end": "2007-01-19 00:00:00", "normalized_text": "2007-01-18", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-34500": [{"start": "2007-01-18 00:00:00", "end": "2007-01-19 00:00:00", "normalized_text": "2007-01-18"}], "-24500": [{"start": "2007-01-18 00:00:00", "end": "2007-01-19 00:00:00", "normalized_text": "2007-01-18"}]}, "chosen_source": {"id": "FIS/2006/page_88.pdf-3", "qa": {"question": "what was the change , in thousands , of principal maturities due in 2008 after the the debt refinancing completed on january 18 , 2007?", "answer": "-24500", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "257541", "arg2": "282041", "res": "-24500"}], "program": "subtract(257541, 282041)", "gold_inds": {"table_2": "the 2008 of december 31 2006 is 257541 ; the 2008 of january 18 2007 refinancing is 282041 ;"}, "exe_ans": -24500.0, "tfidftopn": {"text_10": "principal maturities at december 31 , 2006 ( and at december 31 , 2006 after giving effect to the debt refinancing completed on january 18 , 2007 ) for the next five years and thereafter are as follows ( in thousands ) : december 31 , january 18 , 2007 refinancing .", "table_1": "The 2007 of december 31 2006 is $ 61661 ; The 2007 of january 18 2007 refinancing is $ 96161 ;"}, "program_re": "subtract(257541, 282041)", "model_input": [["text_10", "principal maturities at december 31 , 2006 ( and at december 31 , 2006 after giving effect to the debt refinancing completed on january 18 , 2007 ) for the next five years and thereafter are as follows ( in thousands ) : december 31 , january 18 , 2007 refinancing ."], ["table_1", "the 2007 of december 31 2006 is $ 61661 ; the 2007 of january 18 2007 refinancing is $ 96161 ;"], ["table_2", "the 2008 of december 31 2006 is 257541 ; the 2008 of january 18 2007 refinancing is 282041 ;"]]}, "answers": ["-24500"]}, "rejected_source": {"id": "FIS/2006/page_88.pdf-1", "qa": {"question": "what was the change , in thousands , of principal maturities due in 2007 after the the debt refinancing completed on january 18 , 2007?", "answer": "-34500", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "61661", "arg2": "96161", "res": "-34500"}], "program": "subtract(61661, 96161)", "gold_inds": {"table_1": "the 2007 of december 31 2006 is $ 61661 ; the 2007 of january 18 2007 refinancing is $ 96161 ;"}, "exe_ans": -34500.0, "tfidftopn": {"text_10": "principal maturities at december 31 , 2006 ( and at december 31 , 2006 after giving effect to the debt refinancing completed on january 18 , 2007 ) for the next five years and thereafter are as follows ( in thousands ) : december 31 , january 18 , 2007 refinancing .", "table_6": "The thereafter of december 31 2006 is 1646709 ; The thereafter of january 18 2007 refinancing is 2105129 ;"}, "program_re": "subtract(61661, 96161)", "model_input": [["text_10", "principal maturities at december 31 , 2006 ( and at december 31 , 2006 after giving effect to the debt refinancing completed on january 18 , 2007 ) for the next five years and thereafter are as follows ( in thousands ) : december 31 , january 18 , 2007 refinancing ."], ["table_1", "the 2007 of december 31 2006 is $ 61661 ; the 2007 of january 18 2007 refinancing is $ 96161 ;"], ["table_6", "the thereafter of december 31 2006 is 1646709 ; the thereafter of january 18 2007 refinancing is 2105129 ;"]]}, "answers": ["-34500"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000824", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change , in thousands , of principal maturities due in 2007 after the the debt refinancing completed on january 18 , 2007?\nReference time interval: 2007-01-18 00:00:00 to 2007-01-19 00:00:00", "chosen": "-34500.", "rejected": "-24500.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what was the change , in thousands , of principal maturities due <TIME> after the the debt refinancing completed <TIME>?", "doc_prefix": "FIS", "base_question": "what was the change , in thousands , of principal maturities due <TIME> after the the debt refinancing completed <TIME>?", "original_question": "what was the change , in thousands , of principal maturities due in 2007 after the the debt refinancing completed on january 18 , 2007?", "reference_time": {"start": "2007-01-18 00:00:00", "end": "2007-01-19 00:00:00", "normalized_text": "2007-01-18", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-34500": [{"start": "2007-01-18 00:00:00", "end": "2007-01-19 00:00:00", "normalized_text": "2007-01-18"}], "-24500": [{"start": "2007-01-18 00:00:00", "end": "2007-01-19 00:00:00", "normalized_text": "2007-01-18"}]}, "chosen_source": {"id": "FIS/2006/page_88.pdf-1", "qa": {"question": "what was the change , in thousands , of principal maturities due in 2007 after the the debt refinancing completed on january 18 , 2007?", "answer": "-34500", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "61661", "arg2": "96161", "res": "-34500"}], "program": "subtract(61661, 96161)", "gold_inds": {"table_1": "the 2007 of december 31 2006 is $ 61661 ; the 2007 of january 18 2007 refinancing is $ 96161 ;"}, "exe_ans": -34500.0, "tfidftopn": {"text_10": "principal maturities at december 31 , 2006 ( and at december 31 , 2006 after giving effect to the debt refinancing completed on january 18 , 2007 ) for the next five years and thereafter are as follows ( in thousands ) : december 31 , january 18 , 2007 refinancing .", "table_6": "The thereafter of december 31 2006 is 1646709 ; The thereafter of january 18 2007 refinancing is 2105129 ;"}, "program_re": "subtract(61661, 96161)", "model_input": [["text_10", "principal maturities at december 31 , 2006 ( and at december 31 , 2006 after giving effect to the debt refinancing completed on january 18 , 2007 ) for the next five years and thereafter are as follows ( in thousands ) : december 31 , january 18 , 2007 refinancing ."], ["table_1", "the 2007 of december 31 2006 is $ 61661 ; the 2007 of january 18 2007 refinancing is $ 96161 ;"], ["table_6", "the thereafter of december 31 2006 is 1646709 ; the thereafter of january 18 2007 refinancing is 2105129 ;"]]}, "answers": ["-34500"]}, "rejected_source": {"id": "FIS/2006/page_88.pdf-3", "qa": {"question": "what was the change , in thousands , of principal maturities due in 2008 after the the debt refinancing completed on january 18 , 2007?", "answer": "-24500", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "257541", "arg2": "282041", "res": "-24500"}], "program": "subtract(257541, 282041)", "gold_inds": {"table_2": "the 2008 of december 31 2006 is 257541 ; the 2008 of january 18 2007 refinancing is 282041 ;"}, "exe_ans": -24500.0, "tfidftopn": {"text_10": "principal maturities at december 31 , 2006 ( and at december 31 , 2006 after giving effect to the debt refinancing completed on january 18 , 2007 ) for the next five years and thereafter are as follows ( in thousands ) : december 31 , january 18 , 2007 refinancing .", "table_1": "The 2007 of december 31 2006 is $ 61661 ; The 2007 of january 18 2007 refinancing is $ 96161 ;"}, "program_re": "subtract(257541, 282041)", "model_input": [["text_10", "principal maturities at december 31 , 2006 ( and at december 31 , 2006 after giving effect to the debt refinancing completed on january 18 , 2007 ) for the next five years and thereafter are as follows ( in thousands ) : december 31 , january 18 , 2007 refinancing ."], ["table_1", "the 2007 of december 31 2006 is $ 61661 ; the 2007 of january 18 2007 refinancing is $ 96161 ;"], ["table_2", "the 2008 of december 31 2006 is 257541 ; the 2008 of january 18 2007 refinancing is 282041 ;"]]}, "answers": ["-24500"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000825", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2012 is short term for the year 2014?\nReference time interval: 2012-12-31 00:00:00 to 2013-01-01 00:00:00", "chosen": "58%.", "rejected": "88%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> is short term for the year <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> is short term for the year <TIME>?", "original_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2012 is short term for the year 2014?", "reference_time": {"start": "2012-12-31 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"88%": [{"start": "2012-12-31 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012-12-31"}], "58%": [{"start": "2012-12-31 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012-12-31"}]}, "chosen_source": {"id": "IP/2012/page_64.pdf-2", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2012 is short term for the year 2014?", "answer": "58%", "explanation": "", "ann_table_rows": [3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "136", "arg2": "828", "res": "964"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1672", "res": "58%"}], "program": "add(136, 828), divide(#0, 1672)", "gold_inds": {"table_3": "in millions the lease obligations of 2013 is 198 ; the lease obligations of 2014 is 136 ; the lease obligations of 2015 is 106 ; the lease obligations of 2016 is 70 ; the lease obligations of 2017 is 50 ; the lease obligations of thereafter is 141 ;", "table_4": "in millions the purchase obligations ( c ) of 2013 is 3213 ; the purchase obligations ( c ) of 2014 is 828 ; the purchase obligations ( c ) of 2015 is 722 ; the purchase obligations ( c ) of 2016 is 620 ; the purchase obligations ( c ) of 2017 is 808 ; the purchase obligations ( c ) of thereafter is 2654 ;", "table_5": "in millions the total ( d ) of 2013 is $ 3855 ; the total ( d ) of 2014 is $ 1672 ; the total ( d ) of 2015 is $ 1307 ; the total ( d ) of 2016 is $ 6434 ; the total ( d ) of 2017 is $ 1074 ; the total ( d ) of thereafter is $ 10517 ;"}, "exe_ans": 0.57656, "tfidftopn": {}, "program_re": "divide(add(136, 828), 1672)", "model_input": [["table_3", "in millions the lease obligations of 2013 is 198 ; the lease obligations of 2014 is 136 ; the lease obligations of 2015 is 106 ; the lease obligations of 2016 is 70 ; the lease obligations of 2017 is 50 ; the lease obligations of thereafter is 141 ;"], ["table_4", "in millions the purchase obligations ( c ) of 2013 is 3213 ; the purchase obligations ( c ) of 2014 is 828 ; the purchase obligations ( c ) of 2015 is 722 ; the purchase obligations ( c ) of 2016 is 620 ; the purchase obligations ( c ) of 2017 is 808 ; the purchase obligations ( c ) of thereafter is 2654 ;"], ["table_5", "in millions the total ( d ) of 2013 is $ 3855 ; the total ( d ) of 2014 is $ 1672 ; the total ( d ) of 2015 is $ 1307 ; the total ( d ) of 2016 is $ 6434 ; the total ( d ) of 2017 is $ 1074 ; the total ( d ) of thereafter is $ 10517 ;"]]}, "answers": ["58%"]}, "rejected_source": {"id": "IP/2012/page_64.pdf-1", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2012 is short term for the year 2013?", "answer": "88%", "explanation": "", "ann_table_rows": [3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "198", "arg2": "3213", "res": "3411"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3855", "res": "88%"}], "program": "add(198, 3213), divide(#0, 3855)", "gold_inds": {"table_3": "in millions the lease obligations of 2013 is 198 ; the lease obligations of 2014 is 136 ; the lease obligations of 2015 is 106 ; the lease obligations of 2016 is 70 ; the lease obligations of 2017 is 50 ; the lease obligations of thereafter is 141 ;", "table_4": "in millions the purchase obligations ( c ) of 2013 is 3213 ; the purchase obligations ( c ) of 2014 is 828 ; the purchase obligations ( c ) of 2015 is 722 ; the purchase obligations ( c ) of 2016 is 620 ; the purchase obligations ( c ) of 2017 is 808 ; the purchase obligations ( c ) of thereafter is 2654 ;", "table_5": "in millions the total ( d ) of 2013 is $ 3855 ; the total ( d ) of 2014 is $ 1672 ; the total ( d ) of 2015 is $ 1307 ; the total ( d ) of 2016 is $ 6434 ; the total ( d ) of 2017 is $ 1074 ; the total ( d ) of thereafter is $ 10517 ;"}, "exe_ans": 0.88482, "tfidftopn": {}, "program_re": "divide(add(198, 3213), 3855)", "model_input": [["table_3", "in millions the lease obligations of 2013 is 198 ; the lease obligations of 2014 is 136 ; the lease obligations of 2015 is 106 ; the lease obligations of 2016 is 70 ; the lease obligations of 2017 is 50 ; the lease obligations of thereafter is 141 ;"], ["table_4", "in millions the purchase obligations ( c ) of 2013 is 3213 ; the purchase obligations ( c ) of 2014 is 828 ; the purchase obligations ( c ) of 2015 is 722 ; the purchase obligations ( c ) of 2016 is 620 ; the purchase obligations ( c ) of 2017 is 808 ; the purchase obligations ( c ) of thereafter is 2654 ;"], ["table_5", "in millions the total ( d ) of 2013 is $ 3855 ; the total ( d ) of 2014 is $ 1672 ; the total ( d ) of 2015 is $ 1307 ; the total ( d ) of 2016 is $ 6434 ; the total ( d ) of 2017 is $ 1074 ; the total ( d ) of thereafter is $ 10517 ;"]]}, "answers": ["88%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000826", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2012 is short term for the year 2013?\nReference time interval: 2012-12-31 00:00:00 to 2013-01-01 00:00:00", "chosen": "88%.", "rejected": "58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> is short term for the year <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> is short term for the year <TIME>?", "original_question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2012 is short term for the year 2013?", "reference_time": {"start": "2012-12-31 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"88%": [{"start": "2012-12-31 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012-12-31"}], "58%": [{"start": "2012-12-31 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012-12-31"}]}, "chosen_source": {"id": "IP/2012/page_64.pdf-1", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2012 is short term for the year 2013?", "answer": "88%", "explanation": "", "ann_table_rows": [3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "198", "arg2": "3213", "res": "3411"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3855", "res": "88%"}], "program": "add(198, 3213), divide(#0, 3855)", "gold_inds": {"table_3": "in millions the lease obligations of 2013 is 198 ; the lease obligations of 2014 is 136 ; the lease obligations of 2015 is 106 ; the lease obligations of 2016 is 70 ; the lease obligations of 2017 is 50 ; the lease obligations of thereafter is 141 ;", "table_4": "in millions the purchase obligations ( c ) of 2013 is 3213 ; the purchase obligations ( c ) of 2014 is 828 ; the purchase obligations ( c ) of 2015 is 722 ; the purchase obligations ( c ) of 2016 is 620 ; the purchase obligations ( c ) of 2017 is 808 ; the purchase obligations ( c ) of thereafter is 2654 ;", "table_5": "in millions the total ( d ) of 2013 is $ 3855 ; the total ( d ) of 2014 is $ 1672 ; the total ( d ) of 2015 is $ 1307 ; the total ( d ) of 2016 is $ 6434 ; the total ( d ) of 2017 is $ 1074 ; the total ( d ) of thereafter is $ 10517 ;"}, "exe_ans": 0.88482, "tfidftopn": {}, "program_re": "divide(add(198, 3213), 3855)", "model_input": [["table_3", "in millions the lease obligations of 2013 is 198 ; the lease obligations of 2014 is 136 ; the lease obligations of 2015 is 106 ; the lease obligations of 2016 is 70 ; the lease obligations of 2017 is 50 ; the lease obligations of thereafter is 141 ;"], ["table_4", "in millions the purchase obligations ( c ) of 2013 is 3213 ; the purchase obligations ( c ) of 2014 is 828 ; the purchase obligations ( c ) of 2015 is 722 ; the purchase obligations ( c ) of 2016 is 620 ; the purchase obligations ( c ) of 2017 is 808 ; the purchase obligations ( c ) of thereafter is 2654 ;"], ["table_5", "in millions the total ( d ) of 2013 is $ 3855 ; the total ( d ) of 2014 is $ 1672 ; the total ( d ) of 2015 is $ 1307 ; the total ( d ) of 2016 is $ 6434 ; the total ( d ) of 2017 is $ 1074 ; the total ( d ) of thereafter is $ 10517 ;"]]}, "answers": ["88%"]}, "rejected_source": {"id": "IP/2012/page_64.pdf-2", "qa": {"question": "what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2012 is short term for the year 2014?", "answer": "58%", "explanation": "", "ann_table_rows": [3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "136", "arg2": "828", "res": "964"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1672", "res": "58%"}], "program": "add(136, 828), divide(#0, 1672)", "gold_inds": {"table_3": "in millions the lease obligations of 2013 is 198 ; the lease obligations of 2014 is 136 ; the lease obligations of 2015 is 106 ; the lease obligations of 2016 is 70 ; the lease obligations of 2017 is 50 ; the lease obligations of thereafter is 141 ;", "table_4": "in millions the purchase obligations ( c ) of 2013 is 3213 ; the purchase obligations ( c ) of 2014 is 828 ; the purchase obligations ( c ) of 2015 is 722 ; the purchase obligations ( c ) of 2016 is 620 ; the purchase obligations ( c ) of 2017 is 808 ; the purchase obligations ( c ) of thereafter is 2654 ;", "table_5": "in millions the total ( d ) of 2013 is $ 3855 ; the total ( d ) of 2014 is $ 1672 ; the total ( d ) of 2015 is $ 1307 ; the total ( d ) of 2016 is $ 6434 ; the total ( d ) of 2017 is $ 1074 ; the total ( d ) of thereafter is $ 10517 ;"}, "exe_ans": 0.57656, "tfidftopn": {}, "program_re": "divide(add(136, 828), 1672)", "model_input": [["table_3", "in millions the lease obligations of 2013 is 198 ; the lease obligations of 2014 is 136 ; the lease obligations of 2015 is 106 ; the lease obligations of 2016 is 70 ; the lease obligations of 2017 is 50 ; the lease obligations of thereafter is 141 ;"], ["table_4", "in millions the purchase obligations ( c ) of 2013 is 3213 ; the purchase obligations ( c ) of 2014 is 828 ; the purchase obligations ( c ) of 2015 is 722 ; the purchase obligations ( c ) of 2016 is 620 ; the purchase obligations ( c ) of 2017 is 808 ; the purchase obligations ( c ) of thereafter is 2654 ;"], ["table_5", "in millions the total ( d ) of 2013 is $ 3855 ; the total ( d ) of 2014 is $ 1672 ; the total ( d ) of 2015 is $ 1307 ; the total ( d ) of 2016 is $ 6434 ; the total ( d ) of 2017 is $ 1074 ; the total ( d ) of thereafter is $ 10517 ;"]]}, "answers": ["58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000827", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: as of december 31 2017 what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": ".85.", "rejected": ".93.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || as of december 31 <TIME> what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "doc_prefix": "C", "base_question": "as of december 31 <TIME> what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "original_question": "as of december 31 2017 what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {".93": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], ".85": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "C/2017/page_205.pdf-1", "qa": {"question": "as of december 31 2017 what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "answer": ".85", "explanation": "systemically if there is a large market disruption with less receivables from the brokerage industry than payables it is disadvantageous", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "19169", "arg2": "22601", "res": ".85"}], "program": "divide(19169, 22601)", "gold_inds": {"table_2": "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2017 is 19169 ; the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ;", "table_5": "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2017 is 22601 ; the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ;"}, "exe_ans": 0.84815, "tfidftopn": {"text_10": "payables to brokers , dealers and clearing organizations 22601 19915 total brokerage payables ( 1 ) $ 61342 $ 57152 ( 1 ) includes brokerage receivables and payables recorded by citi broker- dealer entities that are accounted for in accordance with the aicpa accounting guide for brokers and dealers in securities as codified in asc 940-320. ."}, "program_re": "divide(19169, 22601)", "model_input": [["table_1", "in millions of dollars the receivables from customers of december 31 , 2017 is $ 19215 ; the receivables from customers of december 31 , 2016 is $ 10374 ;"], ["table_2", "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2017 is 19169 ; the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ;"], ["table_5", "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2017 is 22601 ; the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ;"]]}, "answers": [".85"]}, "rejected_source": {"id": "C/2017/page_205.pdf-2", "qa": {"question": "as of december 31 2016 what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "answer": ".93", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "18513", "arg2": "19915", "res": ".93"}], "program": "divide(18513, 19915)", "gold_inds": {"table_2": "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2017 is 19169 ; the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ;", "table_5": "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2017 is 22601 ; the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ;"}, "exe_ans": 0.9296, "tfidftopn": {"text_10": "payables to brokers , dealers and clearing organizations 22601 19915 total brokerage payables ( 1 ) $ 61342 $ 57152 ( 1 ) includes brokerage receivables and payables recorded by citi broker- dealer entities that are accounted for in accordance with the aicpa accounting guide for brokers and dealers in securities as codified in asc 940-320. ."}, "program_re": "divide(18513, 19915)", "model_input": [["table_1", "in millions of dollars the receivables from customers of december 31 , 2017 is $ 19215 ; the receivables from customers of december 31 , 2016 is $ 10374 ;"], ["table_2", "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2017 is 19169 ; the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ;"], ["table_5", "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2017 is 22601 ; the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ;"]]}, "answers": [".93"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000828", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: as of december 31 2016 what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": ".93.", "rejected": ".85.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || as of december 31 <TIME> what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "doc_prefix": "C", "base_question": "as of december 31 <TIME> what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "original_question": "as of december 31 2016 what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {".93": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], ".85": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "C/2017/page_205.pdf-2", "qa": {"question": "as of december 31 2016 what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "answer": ".93", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "18513", "arg2": "19915", "res": ".93"}], "program": "divide(18513, 19915)", "gold_inds": {"table_2": "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2017 is 19169 ; the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ;", "table_5": "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2017 is 22601 ; the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ;"}, "exe_ans": 0.9296, "tfidftopn": {"text_10": "payables to brokers , dealers and clearing organizations 22601 19915 total brokerage payables ( 1 ) $ 61342 $ 57152 ( 1 ) includes brokerage receivables and payables recorded by citi broker- dealer entities that are accounted for in accordance with the aicpa accounting guide for brokers and dealers in securities as codified in asc 940-320. ."}, "program_re": "divide(18513, 19915)", "model_input": [["table_1", "in millions of dollars the receivables from customers of december 31 , 2017 is $ 19215 ; the receivables from customers of december 31 , 2016 is $ 10374 ;"], ["table_2", "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2017 is 19169 ; the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ;"], ["table_5", "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2017 is 22601 ; the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ;"]]}, "answers": [".93"]}, "rejected_source": {"id": "C/2017/page_205.pdf-1", "qa": {"question": "as of december 31 2017 what is the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "answer": ".85", "explanation": "systemically if there is a large market disruption with less receivables from the brokerage industry than payables it is disadvantageous", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "19169", "arg2": "22601", "res": ".85"}], "program": "divide(19169, 22601)", "gold_inds": {"table_2": "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2017 is 19169 ; the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ;", "table_5": "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2017 is 22601 ; the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ;"}, "exe_ans": 0.84815, "tfidftopn": {"text_10": "payables to brokers , dealers and clearing organizations 22601 19915 total brokerage payables ( 1 ) $ 61342 $ 57152 ( 1 ) includes brokerage receivables and payables recorded by citi broker- dealer entities that are accounted for in accordance with the aicpa accounting guide for brokers and dealers in securities as codified in asc 940-320. ."}, "program_re": "divide(19169, 22601)", "model_input": [["table_1", "in millions of dollars the receivables from customers of december 31 , 2017 is $ 19215 ; the receivables from customers of december 31 , 2016 is $ 10374 ;"], ["table_2", "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2017 is 19169 ; the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ;"], ["table_5", "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2017 is 22601 ; the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ;"]]}, "answers": [".85"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000829", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in cash for 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-319.3.", "rejected": "-417.5.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IPG || what is the net change in cash <TIME>?", "doc_prefix": "IPG", "base_question": "what is the net change in cash <TIME>?", "original_question": "what is the net change in cash for 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-843.9": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-417.5": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-319.3": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "IPG/2017/page_38.pdf-2", "qa": {"question": "what is the net change in cash for 2017?", "answer": "-319.3", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "881.8", "arg2": "-196.2", "res": "685.6"}, {"op": "add2-2", "arg1": "#0", "arg2": "-1004.9", "res": "-319.3"}], "program": "add(881.8, -196.2), add(#0, -1004.9)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;", "table_6": "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"}, "exe_ans": -319.3, "tfidftopn": {}, "program_re": "add(add(881.8, -196.2), -1004.9)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;"], ["table_6", "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"]]}, "answers": ["-319.3"]}, "rejected_source": {"id": "IPG/2017/page_38.pdf-3", "qa": {"question": "what is the net change in cash for 2016?", "answer": "-417.5", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "512.8", "arg2": "-263.9", "res": "248.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "-666.4", "res": "-417.5"}], "program": "add(512.8, -263.9), divide(#0, -666.4)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;", "table_6": "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"}, "exe_ans": -0.3735, "tfidftopn": {}, "program_re": "divide(add(512.8, -263.9), -666.4)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;"], ["table_6", "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"]]}, "answers": ["-417.5"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000830", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in cash for 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-319.3.", "rejected": "-843.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IPG || what is the net change in cash <TIME>?", "doc_prefix": "IPG", "base_question": "what is the net change in cash <TIME>?", "original_question": "what is the net change in cash for 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-843.9": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-417.5": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-319.3": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "IPG/2017/page_38.pdf-2", "qa": {"question": "what is the net change in cash for 2017?", "answer": "-319.3", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "881.8", "arg2": "-196.2", "res": "685.6"}, {"op": "add2-2", "arg1": "#0", "arg2": "-1004.9", "res": "-319.3"}], "program": "add(881.8, -196.2), add(#0, -1004.9)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;", "table_6": "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"}, "exe_ans": -319.3, "tfidftopn": {}, "program_re": "add(add(881.8, -196.2), -1004.9)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;"], ["table_6", "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"]]}, "answers": ["-319.3"]}, "rejected_source": {"id": "IPG/2013/page_35.pdf-1", "qa": {"question": "what is the net change in cash in 2013?", "answer": "-843.9", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "592.9", "arg2": "-224.5", "res": "368.4"}, {"op": "add1-2", "arg1": "#0", "arg2": "-1212.3", "res": "-843.9"}], "program": "add(592.9, -224.5), add(#0, -1212.3)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2013 is $ 592.9 ; the net cash provided by operating activities of years ended december 31 , 2012 is $ 357.2 ; the net cash provided by operating activities of years ended december 31 , 2011 is $ 273.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2013 is -224.5 ( 224.5 ) ; the net cash used in investing activities of years ended december 31 , 2012 is -210.2 ( 210.2 ) ; the net cash used in investing activities of years ended december 31 , 2011 is -58.8 ( 58.8 ) ;", "table_6": "cash flow data the net cash ( used in ) provided by financing activities of years ended december 31 , 2013 is -1212.3 ( 1212.3 ) ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2012 is 131.3 ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2011 is -541.0 ( 541.0 ) ;"}, "exe_ans": -843.9, "tfidftopn": {}, "program_re": "add(add(592.9, -224.5), -1212.3)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2013 is $ 592.9 ; the net cash provided by operating activities of years ended december 31 , 2012 is $ 357.2 ; the net cash provided by operating activities of years ended december 31 , 2011 is $ 273.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2013 is -224.5 ( 224.5 ) ; the net cash used in investing activities of years ended december 31 , 2012 is -210.2 ( 210.2 ) ; the net cash used in investing activities of years ended december 31 , 2011 is -58.8 ( 58.8 ) ;"], ["table_6", "cash flow data the net cash ( used in ) provided by financing activities of years ended december 31 , 2013 is -1212.3 ( 1212.3 ) ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2012 is 131.3 ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2011 is -541.0 ( 541.0 ) ;"]]}, "answers": ["-843.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000831", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in cash for 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-417.5.", "rejected": "-319.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IPG || what is the net change in cash <TIME>?", "doc_prefix": "IPG", "base_question": "what is the net change in cash <TIME>?", "original_question": "what is the net change in cash for 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-843.9": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-417.5": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-319.3": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "IPG/2017/page_38.pdf-3", "qa": {"question": "what is the net change in cash for 2016?", "answer": "-417.5", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "512.8", "arg2": "-263.9", "res": "248.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "-666.4", "res": "-417.5"}], "program": "add(512.8, -263.9), divide(#0, -666.4)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;", "table_6": "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"}, "exe_ans": -0.3735, "tfidftopn": {}, "program_re": "divide(add(512.8, -263.9), -666.4)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;"], ["table_6", "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"]]}, "answers": ["-417.5"]}, "rejected_source": {"id": "IPG/2017/page_38.pdf-2", "qa": {"question": "what is the net change in cash for 2017?", "answer": "-319.3", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "881.8", "arg2": "-196.2", "res": "685.6"}, {"op": "add2-2", "arg1": "#0", "arg2": "-1004.9", "res": "-319.3"}], "program": "add(881.8, -196.2), add(#0, -1004.9)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;", "table_6": "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"}, "exe_ans": -319.3, "tfidftopn": {}, "program_re": "add(add(881.8, -196.2), -1004.9)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;"], ["table_6", "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"]]}, "answers": ["-319.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000832", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in cash for 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-417.5.", "rejected": "-843.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IPG || what is the net change in cash <TIME>?", "doc_prefix": "IPG", "base_question": "what is the net change in cash <TIME>?", "original_question": "what is the net change in cash for 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-843.9": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-417.5": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-319.3": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "IPG/2017/page_38.pdf-3", "qa": {"question": "what is the net change in cash for 2016?", "answer": "-417.5", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "512.8", "arg2": "-263.9", "res": "248.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "-666.4", "res": "-417.5"}], "program": "add(512.8, -263.9), divide(#0, -666.4)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;", "table_6": "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"}, "exe_ans": -0.3735, "tfidftopn": {}, "program_re": "divide(add(512.8, -263.9), -666.4)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;"], ["table_6", "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"]]}, "answers": ["-417.5"]}, "rejected_source": {"id": "IPG/2013/page_35.pdf-1", "qa": {"question": "what is the net change in cash in 2013?", "answer": "-843.9", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "592.9", "arg2": "-224.5", "res": "368.4"}, {"op": "add1-2", "arg1": "#0", "arg2": "-1212.3", "res": "-843.9"}], "program": "add(592.9, -224.5), add(#0, -1212.3)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2013 is $ 592.9 ; the net cash provided by operating activities of years ended december 31 , 2012 is $ 357.2 ; the net cash provided by operating activities of years ended december 31 , 2011 is $ 273.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2013 is -224.5 ( 224.5 ) ; the net cash used in investing activities of years ended december 31 , 2012 is -210.2 ( 210.2 ) ; the net cash used in investing activities of years ended december 31 , 2011 is -58.8 ( 58.8 ) ;", "table_6": "cash flow data the net cash ( used in ) provided by financing activities of years ended december 31 , 2013 is -1212.3 ( 1212.3 ) ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2012 is 131.3 ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2011 is -541.0 ( 541.0 ) ;"}, "exe_ans": -843.9, "tfidftopn": {}, "program_re": "add(add(592.9, -224.5), -1212.3)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2013 is $ 592.9 ; the net cash provided by operating activities of years ended december 31 , 2012 is $ 357.2 ; the net cash provided by operating activities of years ended december 31 , 2011 is $ 273.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2013 is -224.5 ( 224.5 ) ; the net cash used in investing activities of years ended december 31 , 2012 is -210.2 ( 210.2 ) ; the net cash used in investing activities of years ended december 31 , 2011 is -58.8 ( 58.8 ) ;"], ["table_6", "cash flow data the net cash ( used in ) provided by financing activities of years ended december 31 , 2013 is -1212.3 ( 1212.3 ) ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2012 is 131.3 ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2011 is -541.0 ( 541.0 ) ;"]]}, "answers": ["-843.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000833", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in cash in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-843.9.", "rejected": "-319.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IPG || what is the net change in cash <TIME>?", "doc_prefix": "IPG", "base_question": "what is the net change in cash <TIME>?", "original_question": "what is the net change in cash in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-843.9": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-417.5": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-319.3": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "IPG/2013/page_35.pdf-1", "qa": {"question": "what is the net change in cash in 2013?", "answer": "-843.9", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "592.9", "arg2": "-224.5", "res": "368.4"}, {"op": "add1-2", "arg1": "#0", "arg2": "-1212.3", "res": "-843.9"}], "program": "add(592.9, -224.5), add(#0, -1212.3)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2013 is $ 592.9 ; the net cash provided by operating activities of years ended december 31 , 2012 is $ 357.2 ; the net cash provided by operating activities of years ended december 31 , 2011 is $ 273.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2013 is -224.5 ( 224.5 ) ; the net cash used in investing activities of years ended december 31 , 2012 is -210.2 ( 210.2 ) ; the net cash used in investing activities of years ended december 31 , 2011 is -58.8 ( 58.8 ) ;", "table_6": "cash flow data the net cash ( used in ) provided by financing activities of years ended december 31 , 2013 is -1212.3 ( 1212.3 ) ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2012 is 131.3 ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2011 is -541.0 ( 541.0 ) ;"}, "exe_ans": -843.9, "tfidftopn": {}, "program_re": "add(add(592.9, -224.5), -1212.3)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2013 is $ 592.9 ; the net cash provided by operating activities of years ended december 31 , 2012 is $ 357.2 ; the net cash provided by operating activities of years ended december 31 , 2011 is $ 273.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2013 is -224.5 ( 224.5 ) ; the net cash used in investing activities of years ended december 31 , 2012 is -210.2 ( 210.2 ) ; the net cash used in investing activities of years ended december 31 , 2011 is -58.8 ( 58.8 ) ;"], ["table_6", "cash flow data the net cash ( used in ) provided by financing activities of years ended december 31 , 2013 is -1212.3 ( 1212.3 ) ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2012 is 131.3 ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2011 is -541.0 ( 541.0 ) ;"]]}, "answers": ["-843.9"]}, "rejected_source": {"id": "IPG/2017/page_38.pdf-2", "qa": {"question": "what is the net change in cash for 2017?", "answer": "-319.3", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "881.8", "arg2": "-196.2", "res": "685.6"}, {"op": "add2-2", "arg1": "#0", "arg2": "-1004.9", "res": "-319.3"}], "program": "add(881.8, -196.2), add(#0, -1004.9)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;", "table_6": "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"}, "exe_ans": -319.3, "tfidftopn": {}, "program_re": "add(add(881.8, -196.2), -1004.9)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;"], ["table_6", "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"]]}, "answers": ["-319.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000834", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in cash in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-843.9.", "rejected": "-417.5.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IPG || what is the net change in cash <TIME>?", "doc_prefix": "IPG", "base_question": "what is the net change in cash <TIME>?", "original_question": "what is the net change in cash in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-843.9": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-417.5": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-319.3": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "IPG/2013/page_35.pdf-1", "qa": {"question": "what is the net change in cash in 2013?", "answer": "-843.9", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "592.9", "arg2": "-224.5", "res": "368.4"}, {"op": "add1-2", "arg1": "#0", "arg2": "-1212.3", "res": "-843.9"}], "program": "add(592.9, -224.5), add(#0, -1212.3)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2013 is $ 592.9 ; the net cash provided by operating activities of years ended december 31 , 2012 is $ 357.2 ; the net cash provided by operating activities of years ended december 31 , 2011 is $ 273.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2013 is -224.5 ( 224.5 ) ; the net cash used in investing activities of years ended december 31 , 2012 is -210.2 ( 210.2 ) ; the net cash used in investing activities of years ended december 31 , 2011 is -58.8 ( 58.8 ) ;", "table_6": "cash flow data the net cash ( used in ) provided by financing activities of years ended december 31 , 2013 is -1212.3 ( 1212.3 ) ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2012 is 131.3 ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2011 is -541.0 ( 541.0 ) ;"}, "exe_ans": -843.9, "tfidftopn": {}, "program_re": "add(add(592.9, -224.5), -1212.3)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2013 is $ 592.9 ; the net cash provided by operating activities of years ended december 31 , 2012 is $ 357.2 ; the net cash provided by operating activities of years ended december 31 , 2011 is $ 273.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2013 is -224.5 ( 224.5 ) ; the net cash used in investing activities of years ended december 31 , 2012 is -210.2 ( 210.2 ) ; the net cash used in investing activities of years ended december 31 , 2011 is -58.8 ( 58.8 ) ;"], ["table_6", "cash flow data the net cash ( used in ) provided by financing activities of years ended december 31 , 2013 is -1212.3 ( 1212.3 ) ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2012 is 131.3 ; the net cash ( used in ) provided by financing activities of years ended december 31 , 2011 is -541.0 ( 541.0 ) ;"]]}, "answers": ["-843.9"]}, "rejected_source": {"id": "IPG/2017/page_38.pdf-3", "qa": {"question": "what is the net change in cash for 2016?", "answer": "-417.5", "explanation": "", "ann_table_rows": [4, 5, 6], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "512.8", "arg2": "-263.9", "res": "248.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "-666.4", "res": "-417.5"}], "program": "add(512.8, -263.9), divide(#0, -666.4)", "gold_inds": {"table_4": "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;", "table_5": "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;", "table_6": "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"}, "exe_ans": -0.3735, "tfidftopn": {}, "program_re": "divide(add(512.8, -263.9), -666.4)", "model_input": [["table_4", "cash flow data the net cash provided by operating activities of years ended december 31 , 2017 is $ 881.8 ; the net cash provided by operating activities of years ended december 31 , 2016 is $ 512.8 ; the net cash provided by operating activities of years ended december 31 , 2015 is $ 688.5 ;"], ["table_5", "cash flow data the net cash used in investing activities of years ended december 31 , 2017 is -196.2 ( 196.2 ) ; the net cash used in investing activities of years ended december 31 , 2016 is -263.9 ( 263.9 ) ; the net cash used in investing activities of years ended december 31 , 2015 is -199.7 ( 199.7 ) ;"], ["table_6", "cash flow data the net cash used in financing activities of years ended december 31 , 2017 is -1004.9 ( 1004.9 ) ; the net cash used in financing activities of years ended december 31 , 2016 is -666.4 ( 666.4 ) ; the net cash used in financing activities of years ended december 31 , 2015 is -490.9 ( 490.9 ) ;"]]}, "answers": ["-417.5"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000835", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total gross profit in fiscal 2008 was contributed by consumer foods?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "66%.", "rejected": "71%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percent of total gross profit in fiscal <TIME> was contributed by consumer foods?", "doc_prefix": "CAG", "base_question": "what percent of total gross profit in fiscal <TIME> was contributed by consumer foods?", "original_question": "what percent of total gross profit in fiscal 2008 was contributed by consumer foods?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"71%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "66%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "CAG/2008/page_35.pdf-2", "qa": {"question": "what percent of total gross profit in fiscal 2008 was contributed by consumer foods?", "answer": "66%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1802", "arg2": "2716", "res": "66%"}], "program": "divide(1802, 2716)", "gold_inds": {"table_1": "reporting segment the consumer foods of fiscal 2008 gross profit is $ 1802 ; the consumer foods of fiscal 2007 gross profit is $ 1923 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 6 ) % ( % ) ;", "table_4": "reporting segment the total of fiscal 2008 gross profit is $ 2716 ; the total of fiscal 2007 gross profit is $ 2693 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"}, "exe_ans": 0.66348, "tfidftopn": {"text_22": "gross profit ( net sales less cost of goods sold ) ( $ in millions ) reporting segment fiscal 2008 gross profit fiscal 2007 gross profit % (  % ) increase/ ( decrease ) ."}, "program_re": "divide(1802, 2716)", "model_input": [["text_0", "consumer foods net sales increased $ 303 million , or 5% ( 5 % ) , for the year to $ 6.8 billion ."], ["table_1", "reporting segment the consumer foods of fiscal 2008 gross profit is $ 1802 ; the consumer foods of fiscal 2007 gross profit is $ 1923 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 6 ) % ( % ) ;"], ["table_4", "reporting segment the total of fiscal 2008 gross profit is $ 2716 ; the total of fiscal 2007 gross profit is $ 2693 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"]]}, "answers": ["66%"]}, "rejected_source": {"id": "CAG/2008/page_35.pdf-1", "qa": {"question": "what percent of total gross profit in fiscal 2007 was contributed by consumer foods?", "answer": "71%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1923", "arg2": "2693", "res": "71%"}], "program": "divide(1923, 2693)", "gold_inds": {"table_1": "reporting segment the consumer foods of fiscal 2008 gross profit is $ 1802 ; the consumer foods of fiscal 2007 gross profit is $ 1923 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 6 ) % ( % ) ;", "table_4": "reporting segment the total of fiscal 2008 gross profit is $ 2716 ; the total of fiscal 2007 gross profit is $ 2693 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"}, "exe_ans": 0.71407, "tfidftopn": {"text_22": "gross profit ( net sales less cost of goods sold ) ( $ in millions ) reporting segment fiscal 2008 gross profit fiscal 2007 gross profit % (  % ) increase/ ( decrease ) ."}, "program_re": "divide(1923, 2693)", "model_input": [["text_0", "consumer foods net sales increased $ 303 million , or 5% ( 5 % ) , for the year to $ 6.8 billion ."], ["table_1", "reporting segment the consumer foods of fiscal 2008 gross profit is $ 1802 ; the consumer foods of fiscal 2007 gross profit is $ 1923 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 6 ) % ( % ) ;"], ["table_4", "reporting segment the total of fiscal 2008 gross profit is $ 2716 ; the total of fiscal 2007 gross profit is $ 2693 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"]]}, "answers": ["71%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000836", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total gross profit in fiscal 2007 was contributed by consumer foods?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "71%.", "rejected": "66%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percent of total gross profit in fiscal <TIME> was contributed by consumer foods?", "doc_prefix": "CAG", "base_question": "what percent of total gross profit in fiscal <TIME> was contributed by consumer foods?", "original_question": "what percent of total gross profit in fiscal 2007 was contributed by consumer foods?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"71%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "66%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "CAG/2008/page_35.pdf-1", "qa": {"question": "what percent of total gross profit in fiscal 2007 was contributed by consumer foods?", "answer": "71%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1923", "arg2": "2693", "res": "71%"}], "program": "divide(1923, 2693)", "gold_inds": {"table_1": "reporting segment the consumer foods of fiscal 2008 gross profit is $ 1802 ; the consumer foods of fiscal 2007 gross profit is $ 1923 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 6 ) % ( % ) ;", "table_4": "reporting segment the total of fiscal 2008 gross profit is $ 2716 ; the total of fiscal 2007 gross profit is $ 2693 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"}, "exe_ans": 0.71407, "tfidftopn": {"text_22": "gross profit ( net sales less cost of goods sold ) ( $ in millions ) reporting segment fiscal 2008 gross profit fiscal 2007 gross profit % (  % ) increase/ ( decrease ) ."}, "program_re": "divide(1923, 2693)", "model_input": [["text_0", "consumer foods net sales increased $ 303 million , or 5% ( 5 % ) , for the year to $ 6.8 billion ."], ["table_1", "reporting segment the consumer foods of fiscal 2008 gross profit is $ 1802 ; the consumer foods of fiscal 2007 gross profit is $ 1923 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 6 ) % ( % ) ;"], ["table_4", "reporting segment the total of fiscal 2008 gross profit is $ 2716 ; the total of fiscal 2007 gross profit is $ 2693 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"]]}, "answers": ["71%"]}, "rejected_source": {"id": "CAG/2008/page_35.pdf-2", "qa": {"question": "what percent of total gross profit in fiscal 2008 was contributed by consumer foods?", "answer": "66%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1802", "arg2": "2716", "res": "66%"}], "program": "divide(1802, 2716)", "gold_inds": {"table_1": "reporting segment the consumer foods of fiscal 2008 gross profit is $ 1802 ; the consumer foods of fiscal 2007 gross profit is $ 1923 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 6 ) % ( % ) ;", "table_4": "reporting segment the total of fiscal 2008 gross profit is $ 2716 ; the total of fiscal 2007 gross profit is $ 2693 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"}, "exe_ans": 0.66348, "tfidftopn": {"text_22": "gross profit ( net sales less cost of goods sold ) ( $ in millions ) reporting segment fiscal 2008 gross profit fiscal 2007 gross profit % (  % ) increase/ ( decrease ) ."}, "program_re": "divide(1802, 2716)", "model_input": [["text_0", "consumer foods net sales increased $ 303 million , or 5% ( 5 % ) , for the year to $ 6.8 billion ."], ["table_1", "reporting segment the consumer foods of fiscal 2008 gross profit is $ 1802 ; the consumer foods of fiscal 2007 gross profit is $ 1923 ; the consumer foods of % ( % ) increase/ ( decrease ) is ( 6 ) % ( % ) ;"], ["table_4", "reporting segment the total of fiscal 2008 gross profit is $ 2716 ; the total of fiscal 2007 gross profit is $ 2693 ; the total of % ( % ) increase/ ( decrease ) is 1% ( 1 % ) ;"]]}, "answers": ["66%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000837", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in millions between the total cost of common shares repurchases from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-1274.", "rejected": "1874.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what was the difference in millions between the total cost of common shares repurchases <TIME>?", "doc_prefix": "GS", "base_question": "what was the difference in millions between the total cost of common shares repurchases <TIME>?", "original_question": "what was the difference in millions between the total cost of common shares repurchases from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1874": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-1274": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "GS/2016/page_186.pdf-3", "qa": {"question": "what was the difference in millions between the total cost of common shares repurchases from 2015 to 2016?", "answer": "-1274", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4195", "arg2": "5469", "res": "-1274"}], "program": "subtract(4195, 5469)", "gold_inds": {"table_3": "in millions except per share amounts the total cost of common share repurchases of year ended december 2016 is $ 6069 ; the total cost of common share repurchases of year ended december 2015 is $ 4195 ; the total cost of common share repurchases of year ended december 2014 is $ 5469 ;"}, "exe_ans": -1274.0, "tfidftopn": {"table_1": "in millions except per share amounts The common share repurchases of year ended december 2016 is 36.6 ; The common share repurchases of year ended december 2015 is 22.1 ; The common share repurchases of year ended december 2014 is 31.8 ;", "table_2": "in millions except per share amounts The average cost per share of year ended december 2016 is $ 165.88 ; The average cost per share of year ended december 2015 is $ 189.41 ; The average cost per share of year ended december 2014 is $ 171.79 ;"}, "program_re": "subtract(4195, 5469)", "model_input": [["text_32", "the table below presents the amount of common stock repurchased by the firm under the share repurchase program. ."], ["table_1", "in millions except per share amounts the common share repurchases of year ended december 2016 is 36.6 ; the common share repurchases of year ended december 2015 is 22.1 ; the common share repurchases of year ended december 2014 is 31.8 ;"], ["table_3", "in millions except per share amounts the total cost of common share repurchases of year ended december 2016 is $ 6069 ; the total cost of common share repurchases of year ended december 2015 is $ 4195 ; the total cost of common share repurchases of year ended december 2014 is $ 5469 ;"]]}, "answers": ["-1274"]}, "rejected_source": {"id": "GS/2016/page_186.pdf-1", "qa": {"question": "what was the difference in millions between the total cost of common shares repurchases from 2015 to 2016?", "answer": "1874", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6069", "arg2": "4195", "res": "1874"}], "program": "subtract(6069, 4195)", "gold_inds": {"table_3": "in millions except per share amounts the total cost of common share repurchases of year ended december 2016 is $ 6069 ; the total cost of common share repurchases of year ended december 2015 is $ 4195 ; the total cost of common share repurchases of year ended december 2014 is $ 5469 ;"}, "exe_ans": 1874.0, "tfidftopn": {"table_1": "in millions except per share amounts The common share repurchases of year ended december 2016 is 36.6 ; The common share repurchases of year ended december 2015 is 22.1 ; The common share repurchases of year ended december 2014 is 31.8 ;", "table_2": "in millions except per share amounts The average cost per share of year ended december 2016 is $ 165.88 ; The average cost per share of year ended december 2015 is $ 189.41 ; The average cost per share of year ended december 2014 is $ 171.79 ;"}, "program_re": "subtract(6069, 4195)", "model_input": [["text_32", "the table below presents the amount of common stock repurchased by the firm under the share repurchase program. ."], ["table_1", "in millions except per share amounts the common share repurchases of year ended december 2016 is 36.6 ; the common share repurchases of year ended december 2015 is 22.1 ; the common share repurchases of year ended december 2014 is 31.8 ;"], ["table_3", "in millions except per share amounts the total cost of common share repurchases of year ended december 2016 is $ 6069 ; the total cost of common share repurchases of year ended december 2015 is $ 4195 ; the total cost of common share repurchases of year ended december 2014 is $ 5469 ;"]]}, "answers": ["1874"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000838", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in millions between the total cost of common shares repurchases from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1874.", "rejected": "-1274.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what was the difference in millions between the total cost of common shares repurchases <TIME>?", "doc_prefix": "GS", "base_question": "what was the difference in millions between the total cost of common shares repurchases <TIME>?", "original_question": "what was the difference in millions between the total cost of common shares repurchases from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1874": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-1274": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "GS/2016/page_186.pdf-1", "qa": {"question": "what was the difference in millions between the total cost of common shares repurchases from 2015 to 2016?", "answer": "1874", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6069", "arg2": "4195", "res": "1874"}], "program": "subtract(6069, 4195)", "gold_inds": {"table_3": "in millions except per share amounts the total cost of common share repurchases of year ended december 2016 is $ 6069 ; the total cost of common share repurchases of year ended december 2015 is $ 4195 ; the total cost of common share repurchases of year ended december 2014 is $ 5469 ;"}, "exe_ans": 1874.0, "tfidftopn": {"table_1": "in millions except per share amounts The common share repurchases of year ended december 2016 is 36.6 ; The common share repurchases of year ended december 2015 is 22.1 ; The common share repurchases of year ended december 2014 is 31.8 ;", "table_2": "in millions except per share amounts The average cost per share of year ended december 2016 is $ 165.88 ; The average cost per share of year ended december 2015 is $ 189.41 ; The average cost per share of year ended december 2014 is $ 171.79 ;"}, "program_re": "subtract(6069, 4195)", "model_input": [["text_32", "the table below presents the amount of common stock repurchased by the firm under the share repurchase program. ."], ["table_1", "in millions except per share amounts the common share repurchases of year ended december 2016 is 36.6 ; the common share repurchases of year ended december 2015 is 22.1 ; the common share repurchases of year ended december 2014 is 31.8 ;"], ["table_3", "in millions except per share amounts the total cost of common share repurchases of year ended december 2016 is $ 6069 ; the total cost of common share repurchases of year ended december 2015 is $ 4195 ; the total cost of common share repurchases of year ended december 2014 is $ 5469 ;"]]}, "answers": ["1874"]}, "rejected_source": {"id": "GS/2016/page_186.pdf-3", "qa": {"question": "what was the difference in millions between the total cost of common shares repurchases from 2015 to 2016?", "answer": "-1274", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4195", "arg2": "5469", "res": "-1274"}], "program": "subtract(4195, 5469)", "gold_inds": {"table_3": "in millions except per share amounts the total cost of common share repurchases of year ended december 2016 is $ 6069 ; the total cost of common share repurchases of year ended december 2015 is $ 4195 ; the total cost of common share repurchases of year ended december 2014 is $ 5469 ;"}, "exe_ans": -1274.0, "tfidftopn": {"table_1": "in millions except per share amounts The common share repurchases of year ended december 2016 is 36.6 ; The common share repurchases of year ended december 2015 is 22.1 ; The common share repurchases of year ended december 2014 is 31.8 ;", "table_2": "in millions except per share amounts The average cost per share of year ended december 2016 is $ 165.88 ; The average cost per share of year ended december 2015 is $ 189.41 ; The average cost per share of year ended december 2014 is $ 171.79 ;"}, "program_re": "subtract(4195, 5469)", "model_input": [["text_32", "the table below presents the amount of common stock repurchased by the firm under the share repurchase program. ."], ["table_1", "in millions except per share amounts the common share repurchases of year ended december 2016 is 36.6 ; the common share repurchases of year ended december 2015 is 22.1 ; the common share repurchases of year ended december 2014 is 31.8 ;"], ["table_3", "in millions except per share amounts the total cost of common share repurchases of year ended december 2016 is $ 6069 ; the total cost of common share repurchases of year ended december 2015 is $ 4195 ; the total cost of common share repurchases of year ended december 2014 is $ 5469 ;"]]}, "answers": ["-1274"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000839", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , 2016 , in millions?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1135.5.", "rejected": "543.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , <TIME> , in millions?", "doc_prefix": "ETR", "base_question": "what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , <TIME> , in millions?", "original_question": "what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , 2016 , in millions?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"543.2": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "1135.5": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2016/page_144.pdf-2", "qa": {"question": "what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , 2016 , in millions?", "answer": "1135.5", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "307403", "arg2": "828084", "res": "1135487"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000", "res": "1135.5"}], "program": "add(307403, 828084), divide(#0, const_1000)", "gold_inds": {"table_1": "the 2017 of amount ( in thousands ) is $ 307403 ;", "table_2": "the 2018 of amount ( in thousands ) is $ 828084 ;"}, "exe_ans": 1135.487, "tfidftopn": {"text_9": "the annual long-term debt maturities ( excluding lease obligations and long-term doe obligations ) for debt outstanding as of december 31 , 2016 , for the next five years are as follows : amount ( in thousands ) ."}, "program_re": "divide(add(307403, 828084), const_1000)", "model_input": [["table_1", "the 2017 of amount ( in thousands ) is $ 307403 ;"], ["table_2", "the 2018 of amount ( in thousands ) is $ 828084 ;"], ["table_3", "the 2019 of amount ( in thousands ) is $ 724899 ;"]]}, "answers": ["1135.5"]}, "rejected_source": {"id": "ETR/2004/page_86.pdf-1", "qa": {"question": "what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , 2004 , in millions?", "answer": "543.2", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "467298", "arg2": "75896", "res": "543194"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000", "res": "543.2"}], "program": "add(467298, 75896), divide(#0, const_1000)", "gold_inds": {"table_1": "the 2005 of ( in thousands ) is $ 467298 ;", "table_2": "the 2006 of ( in thousands ) is $ 75896 ;"}, "exe_ans": 543.194, "tfidftopn": {"text_0": "entergy corporation notes to consolidated financial statements the annual long-term debt maturities ( excluding lease obligations ) for debt outstanding as of december 31 , 2004 , for the next five years are as follows: ."}, "program_re": "divide(add(467298, 75896), const_1000)", "model_input": [["table_1", "the 2005 of ( in thousands ) is $ 467298 ;"], ["table_2", "the 2006 of ( in thousands ) is $ 75896 ;"], ["table_3", "the 2007 of ( in thousands ) is $ 199539 ;"]]}, "answers": ["543.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000840", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , 2004 , in millions?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "543.2.", "rejected": "1135.5.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , <TIME> , in millions?", "doc_prefix": "ETR", "base_question": "what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , <TIME> , in millions?", "original_question": "what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , 2004 , in millions?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"543.2": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "1135.5": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2004/page_86.pdf-1", "qa": {"question": "what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , 2004 , in millions?", "answer": "543.2", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "467298", "arg2": "75896", "res": "543194"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000", "res": "543.2"}], "program": "add(467298, 75896), divide(#0, const_1000)", "gold_inds": {"table_1": "the 2005 of ( in thousands ) is $ 467298 ;", "table_2": "the 2006 of ( in thousands ) is $ 75896 ;"}, "exe_ans": 543.194, "tfidftopn": {"text_0": "entergy corporation notes to consolidated financial statements the annual long-term debt maturities ( excluding lease obligations ) for debt outstanding as of december 31 , 2004 , for the next five years are as follows: ."}, "program_re": "divide(add(467298, 75896), const_1000)", "model_input": [["table_1", "the 2005 of ( in thousands ) is $ 467298 ;"], ["table_2", "the 2006 of ( in thousands ) is $ 75896 ;"], ["table_3", "the 2007 of ( in thousands ) is $ 199539 ;"]]}, "answers": ["543.2"]}, "rejected_source": {"id": "ETR/2016/page_144.pdf-2", "qa": {"question": "what amount of long-term debt is due in the next 24 months for entergy corporation as of december 31 , 2016 , in millions?", "answer": "1135.5", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "307403", "arg2": "828084", "res": "1135487"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000", "res": "1135.5"}], "program": "add(307403, 828084), divide(#0, const_1000)", "gold_inds": {"table_1": "the 2017 of amount ( in thousands ) is $ 307403 ;", "table_2": "the 2018 of amount ( in thousands ) is $ 828084 ;"}, "exe_ans": 1135.487, "tfidftopn": {"text_9": "the annual long-term debt maturities ( excluding lease obligations and long-term doe obligations ) for debt outstanding as of december 31 , 2016 , for the next five years are as follows : amount ( in thousands ) ."}, "program_re": "divide(add(307403, 828084), const_1000)", "model_input": [["table_1", "the 2017 of amount ( in thousands ) is $ 307403 ;"], ["table_2", "the 2018 of amount ( in thousands ) is $ 828084 ;"], ["table_3", "the 2019 of amount ( in thousands ) is $ 724899 ;"]]}, "answers": ["1135.5"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000841", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in millions of the gross unrecognized tax benefits between 2009 and 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-28.", "rejected": "432.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the net change in millions of the gross unrecognized tax benefits <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the net change in millions of the gross unrecognized tax benefits <TIME>?", "original_question": "what was the net change in millions of the gross unrecognized tax benefits between 2009 and 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "between 2009 and 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-28": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "between 2009 and 2010"}], "432": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011"}]}, "chosen_source": {"id": "AAPL/2011/page_65.pdf-2", "qa": {"question": "what was the net change in millions of the gross unrecognized tax benefits between 2009 and 2010?", "answer": "-28", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "943", "arg2": "971", "res": "-28"}], "program": "subtract(943, 971)", "gold_inds": {"table_7": "the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ; the ending balance of 2009 is $ 971 ;"}, "exe_ans": -28.0, "tfidftopn": {"text_2": "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for the three years ended september 24 , 2011 , is as follows ( in millions ) : .", "text_1": "as of september 25 , 2010 , the total amount of gross unrecognized tax benefits was $ 943 million , of which $ 404 million , if recognized , would affect the company 2019s effective tax rate ."}, "program_re": "subtract(943, 971)", "model_input": [["text_1", "as of september 25 , 2010 , the total amount of gross unrecognized tax benefits was $ 943 million , of which $ 404 million , if recognized , would affect the company 2019s effective tax rate ."], ["table_1", "the beginning balance of 2011 is $ 943 ; the beginning balance of 2010 is 971 ; the beginning balance of 2009 is $ 506 ;"], ["table_7", "the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ; the ending balance of 2009 is $ 971 ;"]]}, "answers": ["-28"]}, "rejected_source": {"id": "AAPL/2011/page_65.pdf-1", "qa": {"question": "what was the net change in millions of the gross unrecognized tax benefits between 2010 and 2011?", "answer": "432", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1375", "arg2": "943", "res": "432"}], "program": "subtract(1375, 943)", "gold_inds": {"table_7": "the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ; the ending balance of 2009 is $ 971 ;"}, "exe_ans": 432.0, "tfidftopn": {"text_2": "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for the three years ended september 24 , 2011 , is as follows ( in millions ) : .", "text_0": "as of september 24 , 2011 , the total amount of gross unrecognized tax benefits was $ 1.4 billion , of which $ 563 million , if recognized , would affect the company 2019s effective tax rate ."}, "program_re": "subtract(1375, 943)", "model_input": [["text_2", "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for the three years ended september 24 , 2011 , is as follows ( in millions ) : ."], ["table_1", "the beginning balance of 2011 is $ 943 ; the beginning balance of 2010 is 971 ; the beginning balance of 2009 is $ 506 ;"], ["table_7", "the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ; the ending balance of 2009 is $ 971 ;"]]}, "answers": ["432"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000842", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in millions of the gross unrecognized tax benefits between 2010 and 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "432.", "rejected": "-28.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the net change in millions of the gross unrecognized tax benefits <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the net change in millions of the gross unrecognized tax benefits <TIME>?", "original_question": "what was the net change in millions of the gross unrecognized tax benefits between 2010 and 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-28": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "between 2009 and 2010"}], "432": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011"}]}, "chosen_source": {"id": "AAPL/2011/page_65.pdf-1", "qa": {"question": "what was the net change in millions of the gross unrecognized tax benefits between 2010 and 2011?", "answer": "432", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1375", "arg2": "943", "res": "432"}], "program": "subtract(1375, 943)", "gold_inds": {"table_7": "the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ; the ending balance of 2009 is $ 971 ;"}, "exe_ans": 432.0, "tfidftopn": {"text_2": "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for the three years ended september 24 , 2011 , is as follows ( in millions ) : .", "text_0": "as of september 24 , 2011 , the total amount of gross unrecognized tax benefits was $ 1.4 billion , of which $ 563 million , if recognized , would affect the company 2019s effective tax rate ."}, "program_re": "subtract(1375, 943)", "model_input": [["text_2", "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for the three years ended september 24 , 2011 , is as follows ( in millions ) : ."], ["table_1", "the beginning balance of 2011 is $ 943 ; the beginning balance of 2010 is 971 ; the beginning balance of 2009 is $ 506 ;"], ["table_7", "the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ; the ending balance of 2009 is $ 971 ;"]]}, "answers": ["432"]}, "rejected_source": {"id": "AAPL/2011/page_65.pdf-2", "qa": {"question": "what was the net change in millions of the gross unrecognized tax benefits between 2009 and 2010?", "answer": "-28", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "943", "arg2": "971", "res": "-28"}], "program": "subtract(943, 971)", "gold_inds": {"table_7": "the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ; the ending balance of 2009 is $ 971 ;"}, "exe_ans": -28.0, "tfidftopn": {"text_2": "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for the three years ended september 24 , 2011 , is as follows ( in millions ) : .", "text_1": "as of september 25 , 2010 , the total amount of gross unrecognized tax benefits was $ 943 million , of which $ 404 million , if recognized , would affect the company 2019s effective tax rate ."}, "program_re": "subtract(943, 971)", "model_input": [["text_1", "as of september 25 , 2010 , the total amount of gross unrecognized tax benefits was $ 943 million , of which $ 404 million , if recognized , would affect the company 2019s effective tax rate ."], ["table_1", "the beginning balance of 2011 is $ 943 ; the beginning balance of 2010 is 971 ; the beginning balance of 2009 is $ 506 ;"], ["table_7", "the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ; the ending balance of 2009 is $ 971 ;"]]}, "answers": ["-28"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000843", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the number of unvested restricted stocks in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "242518.", "rejected": "61523.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CB || what is the net change in the number of unvested restricted stocks <TIME>?", "doc_prefix": "CB", "base_question": "what is the net change in the number of unvested restricted stocks <TIME>?", "original_question": "what is the net change in the number of unvested restricted stocks in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"242518": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "61523": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "CB/2008/page_218.pdf-1", "qa": {"question": "what is the net change in the number of unvested restricted stocks in 2007?", "answer": "242518", "explanation": "", "ann_table_rows": [5, 6, 7, 8, 9], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "1818716", "arg2": "-1345412", "res": "473304"}, {"op": "add1-2", "arg1": "#0", "arg2": "-230786", "res": "242518"}], "program": "add(1818716, -1345412), add(#0, -230786)", "gold_inds": {"table_5": "the unvested restricted stock december 31 2006 of number of restricted stock is 3579189 ; the unvested restricted stock december 31 2006 of weighted average grant- date fair value is $ 48.07 ;", "table_6": "the granted of number of restricted stock is 1818716 ; the granted of weighted average grant- date fair value is $ 56.45 ;", "table_7": "the vested and issued of number of restricted stock is -1345412 ( 1345412 ) ; the vested and issued of weighted average grant- date fair value is $ 44.48 ;", "table_8": "the forfeited of number of restricted stock is -230786 ( 230786 ) ; the forfeited of weighted average grant- date fair value is $ 51.57 ;", "table_9": "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted average grant- date fair value is $ 53.12 ;"}, "exe_ans": 242518.0, "tfidftopn": {}, "program_re": "add(add(1818716, -1345412), -230786)", "model_input": [["table_5", "the unvested restricted stock december 31 2006 of number of restricted stock is 3579189 ; the unvested restricted stock december 31 2006 of weighted average grant- date fair value is $ 48.07 ;"], ["table_6", "the granted of number of restricted stock is 1818716 ; the granted of weighted average grant- date fair value is $ 56.45 ;"], ["table_7", "the vested and issued of number of restricted stock is -1345412 ( 1345412 ) ; the vested and issued of weighted average grant- date fair value is $ 44.48 ;"], ["table_8", "the forfeited of number of restricted stock is -230786 ( 230786 ) ; the forfeited of weighted average grant- date fair value is $ 51.57 ;"], ["table_9", "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted average grant- date fair value is $ 53.12 ;"]]}, "answers": ["242518"]}, "rejected_source": {"id": "CB/2008/page_218.pdf-2", "qa": {"question": "what is the net change in the number of unvested restricted stocks in 2008?", "answer": "61523", "explanation": "", "ann_table_rows": [9, 13], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3883230", "arg2": "3821707", "res": "61523"}], "program": "subtract(3883230, 3821707)", "gold_inds": {"table_9": "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted average grant- date fair value is $ 53.12 ;", "table_13": "the unvested restricted stock december 31 2008 of number of restricted stock is 3883230 ; the unvested restricted stock december 31 2008 of weighted average grant- date fair value is $ 57.01 ;"}, "exe_ans": 61523.0, "tfidftopn": {"table_5": "The unvested restricted stock december 31 2006 of number of restricted stock is 3579189 ; The unvested restricted stock december 31 2006 of weighted average grant- date fair value is $ 48.07 ;"}, "program_re": "subtract(3883230, 3821707)", "model_input": [["table_1", "the unvested restricted stock december 31 2005 of number of restricted stock is 3488668 ; the unvested restricted stock december 31 2005 of weighted average grant- date fair value is $ 41.26 ;"], ["table_9", "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted average grant- date fair value is $ 53.12 ;"], ["table_13", "the unvested restricted stock december 31 2008 of number of restricted stock is 3883230 ; the unvested restricted stock december 31 2008 of weighted average grant- date fair value is $ 57.01 ;"]]}, "answers": ["61523"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000844", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the number of unvested restricted stocks in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "61523.", "rejected": "242518.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CB || what is the net change in the number of unvested restricted stocks <TIME>?", "doc_prefix": "CB", "base_question": "what is the net change in the number of unvested restricted stocks <TIME>?", "original_question": "what is the net change in the number of unvested restricted stocks in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"242518": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "61523": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "CB/2008/page_218.pdf-2", "qa": {"question": "what is the net change in the number of unvested restricted stocks in 2008?", "answer": "61523", "explanation": "", "ann_table_rows": [9, 13], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3883230", "arg2": "3821707", "res": "61523"}], "program": "subtract(3883230, 3821707)", "gold_inds": {"table_9": "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted average grant- date fair value is $ 53.12 ;", "table_13": "the unvested restricted stock december 31 2008 of number of restricted stock is 3883230 ; the unvested restricted stock december 31 2008 of weighted average grant- date fair value is $ 57.01 ;"}, "exe_ans": 61523.0, "tfidftopn": {"table_5": "The unvested restricted stock december 31 2006 of number of restricted stock is 3579189 ; The unvested restricted stock december 31 2006 of weighted average grant- date fair value is $ 48.07 ;"}, "program_re": "subtract(3883230, 3821707)", "model_input": [["table_1", "the unvested restricted stock december 31 2005 of number of restricted stock is 3488668 ; the unvested restricted stock december 31 2005 of weighted average grant- date fair value is $ 41.26 ;"], ["table_9", "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted average grant- date fair value is $ 53.12 ;"], ["table_13", "the unvested restricted stock december 31 2008 of number of restricted stock is 3883230 ; the unvested restricted stock december 31 2008 of weighted average grant- date fair value is $ 57.01 ;"]]}, "answers": ["61523"]}, "rejected_source": {"id": "CB/2008/page_218.pdf-1", "qa": {"question": "what is the net change in the number of unvested restricted stocks in 2007?", "answer": "242518", "explanation": "", "ann_table_rows": [5, 6, 7, 8, 9], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "1818716", "arg2": "-1345412", "res": "473304"}, {"op": "add1-2", "arg1": "#0", "arg2": "-230786", "res": "242518"}], "program": "add(1818716, -1345412), add(#0, -230786)", "gold_inds": {"table_5": "the unvested restricted stock december 31 2006 of number of restricted stock is 3579189 ; the unvested restricted stock december 31 2006 of weighted average grant- date fair value is $ 48.07 ;", "table_6": "the granted of number of restricted stock is 1818716 ; the granted of weighted average grant- date fair value is $ 56.45 ;", "table_7": "the vested and issued of number of restricted stock is -1345412 ( 1345412 ) ; the vested and issued of weighted average grant- date fair value is $ 44.48 ;", "table_8": "the forfeited of number of restricted stock is -230786 ( 230786 ) ; the forfeited of weighted average grant- date fair value is $ 51.57 ;", "table_9": "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted average grant- date fair value is $ 53.12 ;"}, "exe_ans": 242518.0, "tfidftopn": {}, "program_re": "add(add(1818716, -1345412), -230786)", "model_input": [["table_5", "the unvested restricted stock december 31 2006 of number of restricted stock is 3579189 ; the unvested restricted stock december 31 2006 of weighted average grant- date fair value is $ 48.07 ;"], ["table_6", "the granted of number of restricted stock is 1818716 ; the granted of weighted average grant- date fair value is $ 56.45 ;"], ["table_7", "the vested and issued of number of restricted stock is -1345412 ( 1345412 ) ; the vested and issued of weighted average grant- date fair value is $ 44.48 ;"], ["table_8", "the forfeited of number of restricted stock is -230786 ( 230786 ) ; the forfeited of weighted average grant- date fair value is $ 51.57 ;"], ["table_9", "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted average grant- date fair value is $ 53.12 ;"]]}, "answers": ["242518"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000845", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average operating profit from 2005 to 2007\nReference time interval: 2005-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "1250.6.", "rejected": "382.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the average operating profit <TIME>", "doc_prefix": "LMT", "base_question": "what was the average operating profit <TIME>", "original_question": "what was the average operating profit from 2005 to 2007", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2005 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"382.7": [{"start": "2000-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2000 to 2003"}], "1250.6": [{"start": "2005-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2005 to 2007"}]}, "chosen_source": {"id": "LMT/2007/page_55.pdf-2", "qa": {"question": "what was the average operating profit from 2005 to 2007", "answer": "1250.6", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "1410", "arg2": "1264", "res": "2674"}, {"op": "add2-2", "arg1": "#0", "arg2": "1078", "res": "3752"}, {"op": "divide2-3", "arg1": "#1", "arg2": "const_3", "res": "1250.6"}], "program": "add(1410, 1264), add(#0, 1078), divide(#1, const_3)", "gold_inds": {"table_2": "( in millions ) the operating profit of 2007 is 1410 ; the operating profit of 2006 is 1264 ; the operating profit of 2005 is 1078 ;"}, "exe_ans": 1250.66667, "tfidftopn": {"text_3": "operating profit for the segment increased 21% ( 21 % ) in 2007 compared to 2006 .", "text_7": "operating profit for the segment increased 20% ( 20 % ) in 2006 compared to 2005 ."}, "program_re": "divide(add(add(1410, 1264), 1078), const_3)", "model_input": [["text_5", "combat aircraft operating profit increased $ 326 million mainly due to improved performance on f-22 and f-16 programs ."], ["table_1", "( in millions ) the net sales of 2007 is $ 11143 ; the net sales of 2006 is $ 10519 ; the net sales of 2005 is $ 9811 ;"], ["table_2", "( in millions ) the operating profit of 2007 is 1410 ; the operating profit of 2006 is 1264 ; the operating profit of 2005 is 1078 ;"]]}, "answers": ["1250.6"]}, "rejected_source": {"id": "LMT/2002/page_33.pdf-2", "qa": {"question": "what was the average operating profit from 2000 to 2003", "answer": "382.7", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "443", "arg2": "360", "res": "803"}, {"op": "add2-2", "arg1": "#0", "arg2": "345", "res": "1148"}, {"op": "divide2-3", "arg1": "#1", "arg2": "const_3", "res": "382.7"}], "program": "add(443, 360), add(#0, 345), divide(#1, const_3)", "gold_inds": {"table_2": "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"}, "exe_ans": 382.66667, "tfidftopn": {"text_20": "operating profit for the segment increased by 4% ( 4 % ) in 2001 compared to 2000 .", "text_23": "the year- to-year comparison of operating profit was not affected by the $ 50 million favorable titan iv adjustment recorded in 2000 discussed above , due to a $ 55 million charge related to a more conservative assessment of government launch vehi- cle programs that was recorded in the fourth quarter of 2000 ."}, "program_re": "divide(add(add(443, 360), 345), const_3)", "model_input": [["table_1", "( in millions ) the net sales of 2002 is $ 7384 ; the net sales of 2001 is $ 6836 ; the net sales of 2000 is $ 7339 ;"], ["table_2", "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"], ["text_20", "operating profit for the segment increased by 4% ( 4 % ) in 2001 compared to 2000 ."]]}, "answers": ["382.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000846", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average operating profit from 2000 to 2003\nReference time interval: 2000-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "382.7.", "rejected": "1250.6.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the average operating profit <TIME>", "doc_prefix": "LMT", "base_question": "what was the average operating profit <TIME>", "original_question": "what was the average operating profit from 2000 to 2003", "reference_time": {"start": "2000-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2000 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"382.7": [{"start": "2000-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2000 to 2003"}], "1250.6": [{"start": "2005-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2005 to 2007"}]}, "chosen_source": {"id": "LMT/2002/page_33.pdf-2", "qa": {"question": "what was the average operating profit from 2000 to 2003", "answer": "382.7", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "443", "arg2": "360", "res": "803"}, {"op": "add2-2", "arg1": "#0", "arg2": "345", "res": "1148"}, {"op": "divide2-3", "arg1": "#1", "arg2": "const_3", "res": "382.7"}], "program": "add(443, 360), add(#0, 345), divide(#1, const_3)", "gold_inds": {"table_2": "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"}, "exe_ans": 382.66667, "tfidftopn": {"text_20": "operating profit for the segment increased by 4% ( 4 % ) in 2001 compared to 2000 .", "text_23": "the year- to-year comparison of operating profit was not affected by the $ 50 million favorable titan iv adjustment recorded in 2000 discussed above , due to a $ 55 million charge related to a more conservative assessment of government launch vehi- cle programs that was recorded in the fourth quarter of 2000 ."}, "program_re": "divide(add(add(443, 360), 345), const_3)", "model_input": [["table_1", "( in millions ) the net sales of 2002 is $ 7384 ; the net sales of 2001 is $ 6836 ; the net sales of 2000 is $ 7339 ;"], ["table_2", "( in millions ) the operating profit of 2002 is 443 ; the operating profit of 2001 is 360 ; the operating profit of 2000 is 345 ;"], ["text_20", "operating profit for the segment increased by 4% ( 4 % ) in 2001 compared to 2000 ."]]}, "answers": ["382.7"]}, "rejected_source": {"id": "LMT/2007/page_55.pdf-2", "qa": {"question": "what was the average operating profit from 2005 to 2007", "answer": "1250.6", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "1410", "arg2": "1264", "res": "2674"}, {"op": "add2-2", "arg1": "#0", "arg2": "1078", "res": "3752"}, {"op": "divide2-3", "arg1": "#1", "arg2": "const_3", "res": "1250.6"}], "program": "add(1410, 1264), add(#0, 1078), divide(#1, const_3)", "gold_inds": {"table_2": "( in millions ) the operating profit of 2007 is 1410 ; the operating profit of 2006 is 1264 ; the operating profit of 2005 is 1078 ;"}, "exe_ans": 1250.66667, "tfidftopn": {"text_3": "operating profit for the segment increased 21% ( 21 % ) in 2007 compared to 2006 .", "text_7": "operating profit for the segment increased 20% ( 20 % ) in 2006 compared to 2005 ."}, "program_re": "divide(add(add(1410, 1264), 1078), const_3)", "model_input": [["text_5", "combat aircraft operating profit increased $ 326 million mainly due to improved performance on f-22 and f-16 programs ."], ["table_1", "( in millions ) the net sales of 2007 is $ 11143 ; the net sales of 2006 is $ 10519 ; the net sales of 2005 is $ 9811 ;"], ["table_2", "( in millions ) the operating profit of 2007 is 1410 ; the operating profit of 2006 is 1264 ; the operating profit of 2005 is 1078 ;"]]}, "answers": ["1250.6"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000847", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the change in millions of qualified defined benefit pension plans expected payments from 2018 to 2019?\nReference time interval: 2018-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "30.", "rejected": "80.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the change in millions of qualified defined benefit pension plans expected payments <TIME>?", "doc_prefix": "LMT", "base_question": "what is the change in millions of qualified defined benefit pension plans expected payments <TIME>?", "original_question": "what is the change in millions of qualified defined benefit pension plans expected payments from 2018 to 2019?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "from 2018 to 2019", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"30": [{"start": "2018-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "from 2018 to 2019"}], "80": [{"start": "2019-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "from 2019 to 2020"}]}, "chosen_source": {"id": "LMT/2017/page_101.pdf-1", "qa": {"question": "what is the change in millions of qualified defined benefit pension plans expected payments from 2018 to 2019?", "answer": "30", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2480", "arg2": "2450", "res": "30"}], "program": "subtract(2480, 2450)", "gold_inds": {"table_1": "the qualified defined benefit pension plans of 2018 is $ 2450 ; the qualified defined benefit pension plans of 2019 is $ 2480 ; the qualified defined benefit pension plans of 2020 is $ 2560 ; the qualified defined benefit pension plans of 2021 is $ 2630 ; the qualified defined benefit pension plans of 2022 is $ 2700 ; the qualified defined benefit pension plans of 2023 2013 2027 is $ 14200 ;"}, "exe_ans": 30.0, "tfidftopn": {"text_20": "there were no material contributions to our qualified defined benefit pension plans during 2017 .", "text_19": "contributions and expected benefit payments the funding of our qualified defined benefit pension plans is determined in accordance with erisa , as amended by the ppa , and in a manner consistent with cas and internal revenue code rules ."}, "program_re": "subtract(2480, 2450)", "model_input": [["text_21", "we will make contributions of $ 5.0 billion to our qualified defined benefit pension plans in 2018 , including required and discretionary contributions.as a result of these contributions , we do not expect any material qualified defined benefit cash funding will be required until 2021.we plan to fund these contributions using a mix of cash on hand and commercial paper ."], ["table_1", "the qualified defined benefit pension plans of 2018 is $ 2450 ; the qualified defined benefit pension plans of 2019 is $ 2480 ; the qualified defined benefit pension plans of 2020 is $ 2560 ; the qualified defined benefit pension plans of 2021 is $ 2630 ; the qualified defined benefit pension plans of 2022 is $ 2700 ; the qualified defined benefit pension plans of 2023 2013 2027 is $ 14200 ;"], ["text_27", "our defined contribution plans held approximately 35.5 million and 36.9 million shares of our common stock as of december 31 , 2017 and 2016. ."]]}, "answers": ["30"]}, "rejected_source": {"id": "LMT/2017/page_101.pdf-3", "qa": {"question": "what is the change in millions of qualified defined benefit pension plans expected payments from 2019 to 2020?", "answer": "80", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2560", "arg2": "2480", "res": "80"}], "program": "subtract(2560, 2480)", "gold_inds": {"table_1": "the qualified defined benefit pension plans of 2018 is $ 2450 ; the qualified defined benefit pension plans of 2019 is $ 2480 ; the qualified defined benefit pension plans of 2020 is $ 2560 ; the qualified defined benefit pension plans of 2021 is $ 2630 ; the qualified defined benefit pension plans of 2022 is $ 2700 ; the qualified defined benefit pension plans of 2023 2013 2027 is $ 14200 ;"}, "exe_ans": 80.0, "tfidftopn": {"text_20": "there were no material contributions to our qualified defined benefit pension plans during 2017 .", "text_19": "contributions and expected benefit payments the funding of our qualified defined benefit pension plans is determined in accordance with erisa , as amended by the ppa , and in a manner consistent with cas and internal revenue code rules ."}, "program_re": "subtract(2560, 2480)", "model_input": [["text_21", "we will make contributions of $ 5.0 billion to our qualified defined benefit pension plans in 2018 , including required and discretionary contributions.as a result of these contributions , we do not expect any material qualified defined benefit cash funding will be required until 2021.we plan to fund these contributions using a mix of cash on hand and commercial paper ."], ["table_1", "the qualified defined benefit pension plans of 2018 is $ 2450 ; the qualified defined benefit pension plans of 2019 is $ 2480 ; the qualified defined benefit pension plans of 2020 is $ 2560 ; the qualified defined benefit pension plans of 2021 is $ 2630 ; the qualified defined benefit pension plans of 2022 is $ 2700 ; the qualified defined benefit pension plans of 2023 2013 2027 is $ 14200 ;"], ["text_27", "our defined contribution plans held approximately 35.5 million and 36.9 million shares of our common stock as of december 31 , 2017 and 2016. ."]]}, "answers": ["80"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000848", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the change in millions of qualified defined benefit pension plans expected payments from 2019 to 2020?\nReference time interval: 2019-01-01 00:00:00 to 2021-01-01 00:00:00", "chosen": "80.", "rejected": "30.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the change in millions of qualified defined benefit pension plans expected payments <TIME>?", "doc_prefix": "LMT", "base_question": "what is the change in millions of qualified defined benefit pension plans expected payments <TIME>?", "original_question": "what is the change in millions of qualified defined benefit pension plans expected payments from 2019 to 2020?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "from 2019 to 2020", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"30": [{"start": "2018-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "from 2018 to 2019"}], "80": [{"start": "2019-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "from 2019 to 2020"}]}, "chosen_source": {"id": "LMT/2017/page_101.pdf-3", "qa": {"question": "what is the change in millions of qualified defined benefit pension plans expected payments from 2019 to 2020?", "answer": "80", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2560", "arg2": "2480", "res": "80"}], "program": "subtract(2560, 2480)", "gold_inds": {"table_1": "the qualified defined benefit pension plans of 2018 is $ 2450 ; the qualified defined benefit pension plans of 2019 is $ 2480 ; the qualified defined benefit pension plans of 2020 is $ 2560 ; the qualified defined benefit pension plans of 2021 is $ 2630 ; the qualified defined benefit pension plans of 2022 is $ 2700 ; the qualified defined benefit pension plans of 2023 2013 2027 is $ 14200 ;"}, "exe_ans": 80.0, "tfidftopn": {"text_20": "there were no material contributions to our qualified defined benefit pension plans during 2017 .", "text_19": "contributions and expected benefit payments the funding of our qualified defined benefit pension plans is determined in accordance with erisa , as amended by the ppa , and in a manner consistent with cas and internal revenue code rules ."}, "program_re": "subtract(2560, 2480)", "model_input": [["text_21", "we will make contributions of $ 5.0 billion to our qualified defined benefit pension plans in 2018 , including required and discretionary contributions.as a result of these contributions , we do not expect any material qualified defined benefit cash funding will be required until 2021.we plan to fund these contributions using a mix of cash on hand and commercial paper ."], ["table_1", "the qualified defined benefit pension plans of 2018 is $ 2450 ; the qualified defined benefit pension plans of 2019 is $ 2480 ; the qualified defined benefit pension plans of 2020 is $ 2560 ; the qualified defined benefit pension plans of 2021 is $ 2630 ; the qualified defined benefit pension plans of 2022 is $ 2700 ; the qualified defined benefit pension plans of 2023 2013 2027 is $ 14200 ;"], ["text_27", "our defined contribution plans held approximately 35.5 million and 36.9 million shares of our common stock as of december 31 , 2017 and 2016. ."]]}, "answers": ["80"]}, "rejected_source": {"id": "LMT/2017/page_101.pdf-1", "qa": {"question": "what is the change in millions of qualified defined benefit pension plans expected payments from 2018 to 2019?", "answer": "30", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2480", "arg2": "2450", "res": "30"}], "program": "subtract(2480, 2450)", "gold_inds": {"table_1": "the qualified defined benefit pension plans of 2018 is $ 2450 ; the qualified defined benefit pension plans of 2019 is $ 2480 ; the qualified defined benefit pension plans of 2020 is $ 2560 ; the qualified defined benefit pension plans of 2021 is $ 2630 ; the qualified defined benefit pension plans of 2022 is $ 2700 ; the qualified defined benefit pension plans of 2023 2013 2027 is $ 14200 ;"}, "exe_ans": 30.0, "tfidftopn": {"text_20": "there were no material contributions to our qualified defined benefit pension plans during 2017 .", "text_19": "contributions and expected benefit payments the funding of our qualified defined benefit pension plans is determined in accordance with erisa , as amended by the ppa , and in a manner consistent with cas and internal revenue code rules ."}, "program_re": "subtract(2480, 2450)", "model_input": [["text_21", "we will make contributions of $ 5.0 billion to our qualified defined benefit pension plans in 2018 , including required and discretionary contributions.as a result of these contributions , we do not expect any material qualified defined benefit cash funding will be required until 2021.we plan to fund these contributions using a mix of cash on hand and commercial paper ."], ["table_1", "the qualified defined benefit pension plans of 2018 is $ 2450 ; the qualified defined benefit pension plans of 2019 is $ 2480 ; the qualified defined benefit pension plans of 2020 is $ 2560 ; the qualified defined benefit pension plans of 2021 is $ 2630 ; the qualified defined benefit pension plans of 2022 is $ 2700 ; the qualified defined benefit pension plans of 2023 2013 2027 is $ 14200 ;"], ["text_27", "our defined contribution plans held approximately 35.5 million and 36.9 million shares of our common stock as of december 31 , 2017 and 2016. ."]]}, "answers": ["30"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000849", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was noninterest revenue as a percent of total net revenue in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "49%.", "rejected": "50%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what was noninterest revenue as a percent of total net revenue <TIME>?", "doc_prefix": "JPM", "base_question": "what was noninterest revenue as a percent of total net revenue <TIME>?", "original_question": "what was noninterest revenue as a percent of total net revenue in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "50%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "JPM/2010/page_59.pdf-1", "qa": {"question": "what was noninterest revenue as a percent of total net revenue in 2009?", "answer": "49%", "explanation": "", "ann_table_rows": [9, 11], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "49282", "arg2": "100434", "res": "49%"}], "program": "divide(49282, 100434)", "gold_inds": {"table_9": "year ended december 31 ( in millions ) the noninterest revenue of 2010 is 51693 ; the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ;", "table_11": "year ended december 31 ( in millions ) the total net revenue of 2010 is $ 102694 ; the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ;"}, "exe_ans": 0.49069, "tfidftopn": {"text_4": "2010 compared with 2009 total net revenue for 2010 was $ 102.7 billion , up by $ 2.3 billion , or 2% ( 2 % ) , from 2009 ."}, "program_re": "divide(49282, 100434)", "model_input": [["table_9", "year ended december 31 ( in millions ) the noninterest revenue of 2010 is 51693 ; the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ;"], ["table_11", "year ended december 31 ( in millions ) the total net revenue of 2010 is $ 102694 ; the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ;"], ["text_4", "2010 compared with 2009 total net revenue for 2010 was $ 102.7 billion , up by $ 2.3 billion , or 2% ( 2 % ) , from 2009 ."]]}, "answers": ["49%"]}, "rejected_source": {"id": "JPM/2010/page_59.pdf-2", "qa": {"question": "what was noninterest revenue as a percent of total net revenue in 2010?", "answer": "50%", "explanation": "", "ann_table_rows": [9, 11], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "51693", "arg2": "102694", "res": "50%"}], "program": "divide(51693, 102694)", "gold_inds": {"table_9": "year ended december 31 ( in millions ) the noninterest revenue of 2010 is 51693 ; the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ;", "table_11": "year ended december 31 ( in millions ) the total net revenue of 2010 is $ 102694 ; the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ;"}, "exe_ans": 0.50337, "tfidftopn": {"text_4": "2010 compared with 2009 total net revenue for 2010 was $ 102.7 billion , up by $ 2.3 billion , or 2% ( 2 % ) , from 2009 ."}, "program_re": "divide(51693, 102694)", "model_input": [["table_9", "year ended december 31 ( in millions ) the noninterest revenue of 2010 is 51693 ; the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ;"], ["table_11", "year ended december 31 ( in millions ) the total net revenue of 2010 is $ 102694 ; the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ;"], ["text_4", "2010 compared with 2009 total net revenue for 2010 was $ 102.7 billion , up by $ 2.3 billion , or 2% ( 2 % ) , from 2009 ."]]}, "answers": ["50%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000850", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was noninterest revenue as a percent of total net revenue in 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "50%.", "rejected": "49%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what was noninterest revenue as a percent of total net revenue <TIME>?", "doc_prefix": "JPM", "base_question": "what was noninterest revenue as a percent of total net revenue <TIME>?", "original_question": "what was noninterest revenue as a percent of total net revenue in 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "50%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "JPM/2010/page_59.pdf-2", "qa": {"question": "what was noninterest revenue as a percent of total net revenue in 2010?", "answer": "50%", "explanation": "", "ann_table_rows": [9, 11], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "51693", "arg2": "102694", "res": "50%"}], "program": "divide(51693, 102694)", "gold_inds": {"table_9": "year ended december 31 ( in millions ) the noninterest revenue of 2010 is 51693 ; the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ;", "table_11": "year ended december 31 ( in millions ) the total net revenue of 2010 is $ 102694 ; the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ;"}, "exe_ans": 0.50337, "tfidftopn": {"text_4": "2010 compared with 2009 total net revenue for 2010 was $ 102.7 billion , up by $ 2.3 billion , or 2% ( 2 % ) , from 2009 ."}, "program_re": "divide(51693, 102694)", "model_input": [["table_9", "year ended december 31 ( in millions ) the noninterest revenue of 2010 is 51693 ; the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ;"], ["table_11", "year ended december 31 ( in millions ) the total net revenue of 2010 is $ 102694 ; the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ;"], ["text_4", "2010 compared with 2009 total net revenue for 2010 was $ 102.7 billion , up by $ 2.3 billion , or 2% ( 2 % ) , from 2009 ."]]}, "answers": ["50%"]}, "rejected_source": {"id": "JPM/2010/page_59.pdf-1", "qa": {"question": "what was noninterest revenue as a percent of total net revenue in 2009?", "answer": "49%", "explanation": "", "ann_table_rows": [9, 11], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "49282", "arg2": "100434", "res": "49%"}], "program": "divide(49282, 100434)", "gold_inds": {"table_9": "year ended december 31 ( in millions ) the noninterest revenue of 2010 is 51693 ; the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ;", "table_11": "year ended december 31 ( in millions ) the total net revenue of 2010 is $ 102694 ; the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ;"}, "exe_ans": 0.49069, "tfidftopn": {"text_4": "2010 compared with 2009 total net revenue for 2010 was $ 102.7 billion , up by $ 2.3 billion , or 2% ( 2 % ) , from 2009 ."}, "program_re": "divide(49282, 100434)", "model_input": [["table_9", "year ended december 31 ( in millions ) the noninterest revenue of 2010 is 51693 ; the noninterest revenue of 2009 is 49282 ; the noninterest revenue of 2008 is 28473 ;"], ["table_11", "year ended december 31 ( in millions ) the total net revenue of 2010 is $ 102694 ; the total net revenue of 2009 is $ 100434 ; the total net revenue of 2008 is $ 67252 ;"], ["text_4", "2010 compared with 2009 total net revenue for 2010 was $ 102.7 billion , up by $ 2.3 billion , or 2% ( 2 % ) , from 2009 ."]]}, "answers": ["49%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000851", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of printing paper sales is attributable to uncoated papers sales in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "61%.", "rejected": "65%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of printing paper sales is attributable to uncoated papers sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of printing paper sales is attributable to uncoated papers sales <TIME>?", "original_question": "what percentage of printing paper sales is attributable to uncoated papers sales in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"65%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "61%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "IP/2005/page_27.pdf-1", "qa": {"question": "what percentage of printing paper sales is attributable to uncoated papers sales in 2005?", "answer": "61%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [8], "steps": [{"op": "multiply1-1", "arg1": "4.8", "arg2": "const_1000", "res": "4800"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7860", "res": "61%"}], "program": "multiply(4.8, const_1000), divide(#0, 7860)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;", "text_8": "uncoated papers sales totaled $ 4.8 billion in 2005 compared with $ 5.0 billion in 2004 and 2003 ."}, "exe_ans": 0.61069, "tfidftopn": {"text_7": "printing papers in millions 2005 2004 2003 ."}, "program_re": "divide(multiply(4.8, const_1000), 7860)", "model_input": [["table_1", "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;"], ["text_8", "uncoated papers sales totaled $ 4.8 billion in 2005 compared with $ 5.0 billion in 2004 and 2003 ."], ["text_44", "dollar were 17% ( 17 % ) higher in 2005 than in 2004 , positively impacted reported sales in u.s ."]]}, "answers": ["61%"]}, "rejected_source": {"id": "IP/2005/page_27.pdf-2", "qa": {"question": "what percentage of printing paper sales is attributable to uncoated papers sales in 2004?", "answer": "65%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [8], "steps": [{"op": "multiply2-1", "arg1": "const_5", "arg2": "const_1000", "res": "5000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "7670", "res": "65%"}], "program": "multiply(const_5, const_1000), divide(#0, 7670)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;", "text_8": "uncoated papers sales totaled $ 4.8 billion in 2005 compared with $ 5.0 billion in 2004 and 2003 ."}, "exe_ans": 0.65189, "tfidftopn": {"text_7": "printing papers in millions 2005 2004 2003 ."}, "program_re": "divide(multiply(const_5, const_1000), 7670)", "model_input": [["table_1", "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;"], ["text_8", "uncoated papers sales totaled $ 4.8 billion in 2005 compared with $ 5.0 billion in 2004 and 2003 ."], ["text_44", "dollar were 17% ( 17 % ) higher in 2005 than in 2004 , positively impacted reported sales in u.s ."]]}, "answers": ["65%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000852", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of printing paper sales is attributable to uncoated papers sales in 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "65%.", "rejected": "61%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of printing paper sales is attributable to uncoated papers sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of printing paper sales is attributable to uncoated papers sales <TIME>?", "original_question": "what percentage of printing paper sales is attributable to uncoated papers sales in 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"65%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "61%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "IP/2005/page_27.pdf-2", "qa": {"question": "what percentage of printing paper sales is attributable to uncoated papers sales in 2004?", "answer": "65%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [8], "steps": [{"op": "multiply2-1", "arg1": "const_5", "arg2": "const_1000", "res": "5000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "7670", "res": "65%"}], "program": "multiply(const_5, const_1000), divide(#0, 7670)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;", "text_8": "uncoated papers sales totaled $ 4.8 billion in 2005 compared with $ 5.0 billion in 2004 and 2003 ."}, "exe_ans": 0.65189, "tfidftopn": {"text_7": "printing papers in millions 2005 2004 2003 ."}, "program_re": "divide(multiply(const_5, const_1000), 7670)", "model_input": [["table_1", "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;"], ["text_8", "uncoated papers sales totaled $ 4.8 billion in 2005 compared with $ 5.0 billion in 2004 and 2003 ."], ["text_44", "dollar were 17% ( 17 % ) higher in 2005 than in 2004 , positively impacted reported sales in u.s ."]]}, "answers": ["65%"]}, "rejected_source": {"id": "IP/2005/page_27.pdf-1", "qa": {"question": "what percentage of printing paper sales is attributable to uncoated papers sales in 2005?", "answer": "61%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [8], "steps": [{"op": "multiply1-1", "arg1": "4.8", "arg2": "const_1000", "res": "4800"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7860", "res": "61%"}], "program": "multiply(4.8, const_1000), divide(#0, 7860)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;", "text_8": "uncoated papers sales totaled $ 4.8 billion in 2005 compared with $ 5.0 billion in 2004 and 2003 ."}, "exe_ans": 0.61069, "tfidftopn": {"text_7": "printing papers in millions 2005 2004 2003 ."}, "program_re": "divide(multiply(4.8, const_1000), 7860)", "model_input": [["table_1", "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;"], ["text_8", "uncoated papers sales totaled $ 4.8 billion in 2005 compared with $ 5.0 billion in 2004 and 2003 ."], ["text_44", "dollar were 17% ( 17 % ) higher in 2005 than in 2004 , positively impacted reported sales in u.s ."]]}, "answers": ["61%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000853", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total scheduled maturities of long term debt are due in 2020?\nReference time interval: 2020-01-01 00:00:00 to 2021-01-01 00:00:00", "chosen": "3%.", "rejected": "8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what percentage of total scheduled maturities of long term debt are due <TIME>?", "doc_prefix": "UAA", "base_question": "what percentage of total scheduled maturities of long term debt are due <TIME>?", "original_question": "what percentage of total scheduled maturities of long term debt are due in 2020?", "reference_time": {"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "3%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "UAA/2016/page_81.pdf-2", "qa": {"question": "what percentage of total scheduled maturities of long term debt are due in 2020?", "answer": "3%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "25000", "arg2": "828250", "res": "3%"}], "program": "divide(25000, 828250)", "gold_inds": {"table_3": "2017 the 2020 of $ 27000 is 25000 ;", "table_6": "2017 the total scheduled maturities of long term debt of $ 27000 is $ 828250 ;"}, "exe_ans": 0.03018, "tfidftopn": {"text_19": "the following are the scheduled maturities of long term debt as of december 31 , 2016 : ( in thousands ) ."}, "program_re": "divide(25000, 828250)", "model_input": [["table_3", "2017 the 2020 of $ 27000 is 25000 ;"], ["table_5", "2017 the 2022 and thereafter of $ 27000 is 600000 ;"], ["table_6", "2017 the total scheduled maturities of long term debt of $ 27000 is $ 828250 ;"]]}, "answers": ["3%"]}, "rejected_source": {"id": "UAA/2016/page_81.pdf-1", "qa": {"question": "what percentage of total scheduled maturities of long term debt are due in 2019?", "answer": "8%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "63000", "arg2": "828250", "res": "8%"}], "program": "divide(63000, 828250)", "gold_inds": {"table_2": "2017 the 2019 of $ 27000 is 63000 ;", "table_6": "2017 the total scheduled maturities of long term debt of $ 27000 is $ 828250 ;"}, "exe_ans": 0.07606, "tfidftopn": {"text_19": "the following are the scheduled maturities of long term debt as of december 31 , 2016 : ( in thousands ) ."}, "program_re": "divide(63000, 828250)", "model_input": [["table_2", "2017 the 2019 of $ 27000 is 63000 ;"], ["table_5", "2017 the 2022 and thereafter of $ 27000 is 600000 ;"], ["table_6", "2017 the total scheduled maturities of long term debt of $ 27000 is $ 828250 ;"]]}, "answers": ["8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000854", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total scheduled maturities of long term debt are due in 2019?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "8%.", "rejected": "3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what percentage of total scheduled maturities of long term debt are due <TIME>?", "doc_prefix": "UAA", "base_question": "what percentage of total scheduled maturities of long term debt are due <TIME>?", "original_question": "what percentage of total scheduled maturities of long term debt are due in 2019?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "3%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "UAA/2016/page_81.pdf-1", "qa": {"question": "what percentage of total scheduled maturities of long term debt are due in 2019?", "answer": "8%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "63000", "arg2": "828250", "res": "8%"}], "program": "divide(63000, 828250)", "gold_inds": {"table_2": "2017 the 2019 of $ 27000 is 63000 ;", "table_6": "2017 the total scheduled maturities of long term debt of $ 27000 is $ 828250 ;"}, "exe_ans": 0.07606, "tfidftopn": {"text_19": "the following are the scheduled maturities of long term debt as of december 31 , 2016 : ( in thousands ) ."}, "program_re": "divide(63000, 828250)", "model_input": [["table_2", "2017 the 2019 of $ 27000 is 63000 ;"], ["table_5", "2017 the 2022 and thereafter of $ 27000 is 600000 ;"], ["table_6", "2017 the total scheduled maturities of long term debt of $ 27000 is $ 828250 ;"]]}, "answers": ["8%"]}, "rejected_source": {"id": "UAA/2016/page_81.pdf-2", "qa": {"question": "what percentage of total scheduled maturities of long term debt are due in 2020?", "answer": "3%", "explanation": "", "ann_table_rows": [3, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "25000", "arg2": "828250", "res": "3%"}], "program": "divide(25000, 828250)", "gold_inds": {"table_3": "2017 the 2020 of $ 27000 is 25000 ;", "table_6": "2017 the total scheduled maturities of long term debt of $ 27000 is $ 828250 ;"}, "exe_ans": 0.03018, "tfidftopn": {"text_19": "the following are the scheduled maturities of long term debt as of december 31 , 2016 : ( in thousands ) ."}, "program_re": "divide(25000, 828250)", "model_input": [["table_3", "2017 the 2020 of $ 27000 is 25000 ;"], ["table_5", "2017 the 2022 and thereafter of $ 27000 is 600000 ;"], ["table_6", "2017 the total scheduled maturities of long term debt of $ 27000 is $ 828250 ;"]]}, "answers": ["3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000855", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of total long-term debt net between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-6.", "rejected": "17.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the change in millions of total long-term debt net <TIME>?", "doc_prefix": "LMT", "base_question": "what was the change in millions of total long-term debt net <TIME>?", "original_question": "what was the change in millions of total long-term debt net between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "17": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014"}]}, "chosen_source": {"id": "LMT/2013/page_81.pdf-2", "qa": {"question": "what was the change in millions of total long-term debt net between 2012 and 2013?", "answer": "-6", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6152", "arg2": "6158", "res": "-6"}], "program": "subtract(6152, 6158)", "gold_inds": {"table_9": "the total long-term debt net of 2013 is $ 6152 ; the total long-term debt net of 2012 is $ 6158 ;"}, "exe_ans": -6.0, "tfidftopn": {"table_5": "The total long-term debt of 2013 is 7034 ; The total long-term debt of 2012 is 7200 ;", "table_7": "The total long-term debt net of unamortized discounts of 2013 is 6152 ; The total long-term debt net of unamortized discounts of 2012 is 6308 ;"}, "program_re": "subtract(6152, 6158)", "model_input": [["table_5", "the total long-term debt of 2013 is 7034 ; the total long-term debt of 2012 is 7200 ;"], ["table_7", "the total long-term debt net of unamortized discounts of 2013 is 6152 ; the total long-term debt net of unamortized discounts of 2012 is 6308 ;"], ["table_9", "the total long-term debt net of 2013 is $ 6152 ; the total long-term debt net of 2012 is $ 6158 ;"]]}, "answers": ["-6"]}, "rejected_source": {"id": "LMT/2014/page_85.pdf-3", "qa": {"question": "what was the change in millions of total long-term debt net between 2013 and 2014?", "answer": "17", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6169", "arg2": "6152", "res": "17"}], "program": "subtract(6169, 6152)", "gold_inds": {"table_6": "the total long-term debt net of 2014 is $ 6169 ; the total long-term debt net of 2013 is $ 6152 ;"}, "exe_ans": 17.0, "tfidftopn": {"table_4": "The total long-term debt of 2014 is 7041 ; The total long-term debt of 2013 is 7034 ;", "text_13": "note 8 2013 debt our long-term debt consisted of the following ( in millions ) : ."}, "program_re": "subtract(6169, 6152)", "model_input": [["text_8", "companies as of december 31 , 2014 , 2013 and 2012 ."], ["table_4", "the total long-term debt of 2014 is 7041 ; the total long-term debt of 2013 is 7034 ;"], ["table_6", "the total long-term debt net of 2014 is $ 6169 ; the total long-term debt net of 2013 is $ 6152 ;"]]}, "answers": ["17"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000856", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of total long-term debt net between 2013 and 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "17.", "rejected": "-6.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the change in millions of total long-term debt net <TIME>?", "doc_prefix": "LMT", "base_question": "what was the change in millions of total long-term debt net <TIME>?", "original_question": "what was the change in millions of total long-term debt net between 2013 and 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "17": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014"}]}, "chosen_source": {"id": "LMT/2014/page_85.pdf-3", "qa": {"question": "what was the change in millions of total long-term debt net between 2013 and 2014?", "answer": "17", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6169", "arg2": "6152", "res": "17"}], "program": "subtract(6169, 6152)", "gold_inds": {"table_6": "the total long-term debt net of 2014 is $ 6169 ; the total long-term debt net of 2013 is $ 6152 ;"}, "exe_ans": 17.0, "tfidftopn": {"table_4": "The total long-term debt of 2014 is 7041 ; The total long-term debt of 2013 is 7034 ;", "text_13": "note 8 2013 debt our long-term debt consisted of the following ( in millions ) : ."}, "program_re": "subtract(6169, 6152)", "model_input": [["text_8", "companies as of december 31 , 2014 , 2013 and 2012 ."], ["table_4", "the total long-term debt of 2014 is 7041 ; the total long-term debt of 2013 is 7034 ;"], ["table_6", "the total long-term debt net of 2014 is $ 6169 ; the total long-term debt net of 2013 is $ 6152 ;"]]}, "answers": ["17"]}, "rejected_source": {"id": "LMT/2013/page_81.pdf-2", "qa": {"question": "what was the change in millions of total long-term debt net between 2012 and 2013?", "answer": "-6", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6152", "arg2": "6158", "res": "-6"}], "program": "subtract(6152, 6158)", "gold_inds": {"table_9": "the total long-term debt net of 2013 is $ 6152 ; the total long-term debt net of 2012 is $ 6158 ;"}, "exe_ans": -6.0, "tfidftopn": {"table_5": "The total long-term debt of 2013 is 7034 ; The total long-term debt of 2012 is 7200 ;", "table_7": "The total long-term debt net of unamortized discounts of 2013 is 6152 ; The total long-term debt net of unamortized discounts of 2012 is 6308 ;"}, "program_re": "subtract(6152, 6158)", "model_input": [["table_5", "the total long-term debt of 2013 is 7034 ; the total long-term debt of 2012 is 7200 ;"], ["table_7", "the total long-term debt net of unamortized discounts of 2013 is 6152 ; the total long-term debt net of unamortized discounts of 2012 is 6308 ;"], ["table_9", "the total long-term debt net of 2013 is $ 6152 ; the total long-term debt net of 2012 is $ 6158 ;"]]}, "answers": ["-6"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000857", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2003 for entergy arkansas , inc.?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "-8.9%.", "rejected": "11.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the growth rate in net revenue in 2003 for entergy arkansas , inc.?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-8.9%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "3.4%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "11.6%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2003 for entergy arkansas , inc.?", "answer": "-8.9%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "1095.9", "res": "-97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1095.9", "res": "-8.9%"}], "program": "subtract(998.7, 1095.9), divide(#0, 1095.9)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;"}, "exe_ans": -0.08869, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(998.7, 1095.9), 1095.9)", "model_input": [["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_5", "the net wholesale revenue of ( in millions ) is 16.6 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["-8.9%"]}, "rejected_source": {"id": "ETR/2016/page_315.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016 for entergy arkansas , inc.?", "answer": "11.6%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1520.5", "arg2": "1362.2", "res": "158.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1362.2", "res": "11.6%"}], "program": "subtract(1520.5, 1362.2), divide(#0, 1362.2)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;", "table_4": "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"}, "exe_ans": 0.11621, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(1520.5, 1362.2), 1362.2)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;"], ["table_3", "the other of amount ( in millions ) is -3.2 ( 3.2 ) ;"], ["table_4", "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"]]}, "answers": ["11.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000858", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2003 for entergy arkansas , inc.?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "-8.9%.", "rejected": "3.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the growth rate in net revenue in 2003 for entergy arkansas , inc.?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-8.9%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "3.4%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "11.6%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2004/page_160.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2003 for entergy arkansas , inc.?", "answer": "-8.9%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "1095.9", "res": "-97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1095.9", "res": "-8.9%"}], "program": "subtract(998.7, 1095.9), divide(#0, 1095.9)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;"}, "exe_ans": -0.08869, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(998.7, 1095.9), 1095.9)", "model_input": [["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_5", "the net wholesale revenue of ( in millions ) is 16.6 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["-8.9%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2007 for entergy arkansas , inc.?", "answer": "3.4%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1074.5", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1074.5", "res": "3.4%"}], "program": "subtract(1110.6, 1074.5), divide(#0, 1074.5)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": 0.0336, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(1110.6, 1074.5), 1074.5)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 13.2 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000859", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016 for entergy arkansas , inc.?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "11.6%.", "rejected": "-8.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the growth rate in net revenue in 2016 for entergy arkansas , inc.?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-8.9%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "3.4%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "11.6%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2016/page_315.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016 for entergy arkansas , inc.?", "answer": "11.6%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1520.5", "arg2": "1362.2", "res": "158.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1362.2", "res": "11.6%"}], "program": "subtract(1520.5, 1362.2), divide(#0, 1362.2)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;", "table_4": "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"}, "exe_ans": 0.11621, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(1520.5, 1362.2), 1362.2)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;"], ["table_3", "the other of amount ( in millions ) is -3.2 ( 3.2 ) ;"], ["table_4", "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"]]}, "answers": ["11.6%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2003 for entergy arkansas , inc.?", "answer": "-8.9%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "1095.9", "res": "-97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1095.9", "res": "-8.9%"}], "program": "subtract(998.7, 1095.9), divide(#0, 1095.9)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;"}, "exe_ans": -0.08869, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(998.7, 1095.9), 1095.9)", "model_input": [["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_5", "the net wholesale revenue of ( in millions ) is 16.6 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["-8.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000860", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2016 for entergy arkansas , inc.?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "11.6%.", "rejected": "3.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the growth rate in net revenue in 2016 for entergy arkansas , inc.?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-8.9%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "3.4%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "11.6%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2016/page_315.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016 for entergy arkansas , inc.?", "answer": "11.6%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1520.5", "arg2": "1362.2", "res": "158.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1362.2", "res": "11.6%"}], "program": "subtract(1520.5, 1362.2), divide(#0, 1362.2)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;", "table_4": "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"}, "exe_ans": 0.11621, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(1520.5, 1362.2), 1362.2)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;"], ["table_3", "the other of amount ( in millions ) is -3.2 ( 3.2 ) ;"], ["table_4", "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"]]}, "answers": ["11.6%"]}, "rejected_source": {"id": "ETR/2008/page_267.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2007 for entergy arkansas , inc.?", "answer": "3.4%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1074.5", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1074.5", "res": "3.4%"}], "program": "subtract(1110.6, 1074.5), divide(#0, 1074.5)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": 0.0336, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(1110.6, 1074.5), 1074.5)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 13.2 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000861", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007 for entergy arkansas , inc.?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.4%.", "rejected": "-8.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the growth rate in net revenue in 2007 for entergy arkansas , inc.?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-8.9%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "3.4%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "11.6%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2007 for entergy arkansas , inc.?", "answer": "3.4%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1074.5", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1074.5", "res": "3.4%"}], "program": "subtract(1110.6, 1074.5), divide(#0, 1074.5)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": 0.0336, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(1110.6, 1074.5), 1074.5)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 13.2 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.4%"]}, "rejected_source": {"id": "ETR/2004/page_160.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2003 for entergy arkansas , inc.?", "answer": "-8.9%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "998.7", "arg2": "1095.9", "res": "-97.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1095.9", "res": "-8.9%"}], "program": "subtract(998.7, 1095.9), divide(#0, 1095.9)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 1095.9 ;", "table_8": "the 2003 net revenue of ( in millions ) is $ 998.7 ;"}, "exe_ans": -0.08869, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(998.7, 1095.9), 1095.9)", "model_input": [["table_1", "the 2002 net revenue of ( in millions ) is $ 1095.9 ;"], ["table_5", "the net wholesale revenue of ( in millions ) is 16.6 ;"], ["table_8", "the 2003 net revenue of ( in millions ) is $ 998.7 ;"]]}, "answers": ["-8.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000862", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net revenue in 2007 for entergy arkansas , inc.?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "3.4%.", "rejected": "11.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "doc_prefix": "ETR", "base_question": "what is the growth rate in net revenue <TIME> for entergy arkansas , inc.?", "original_question": "what is the growth rate in net revenue in 2007 for entergy arkansas , inc.?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-8.9%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "3.4%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "11.6%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2008/page_267.pdf-2", "qa": {"question": "what is the growth rate in net revenue in 2007 for entergy arkansas , inc.?", "answer": "3.4%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1110.6", "arg2": "1074.5", "res": "36.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1074.5", "res": "3.4%"}], "program": "subtract(1110.6, 1074.5), divide(#0, 1074.5)", "gold_inds": {"table_1": "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;", "table_6": "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"}, "exe_ans": 0.0336, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(1110.6, 1074.5), 1074.5)", "model_input": [["table_1", "the 2006 net revenue of amount ( in millions ) is $ 1074.5 ;"], ["table_2", "the net wholesale revenue of amount ( in millions ) is 13.2 ;"], ["table_6", "the 2007 net revenue of amount ( in millions ) is $ 1110.6 ;"]]}, "answers": ["3.4%"]}, "rejected_source": {"id": "ETR/2016/page_315.pdf-1", "qa": {"question": "what is the growth rate in net revenue in 2016 for entergy arkansas , inc.?", "answer": "11.6%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1520.5", "arg2": "1362.2", "res": "158.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1362.2", "res": "11.6%"}], "program": "subtract(1520.5, 1362.2), divide(#0, 1362.2)", "gold_inds": {"table_1": "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;", "table_4": "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"}, "exe_ans": 0.11621, "tfidftopn": {"text_0": "entergy arkansas , inc ."}, "program_re": "divide(subtract(1520.5, 1362.2), 1362.2)", "model_input": [["table_1", "the 2015 net revenue of amount ( in millions ) is $ 1362.2 ;"], ["table_3", "the other of amount ( in millions ) is -3.2 ( 3.2 ) ;"], ["table_4", "the 2016 net revenue of amount ( in millions ) is $ 1520.5 ;"]]}, "answers": ["11.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000863", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in pension liability balance from september 2006 to september 2007?\nReference time interval: 2006-09-01 00:00:00 to 2007-10-01 00:00:00", "chosen": "385.", "rejected": "923.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SWKS || what is the net change in pension liability balance <TIME>?", "doc_prefix": "SWKS", "base_question": "what is the net change in pension liability balance <TIME>?", "original_question": "what is the net change in pension liability balance from september 2006 to september 2007?", "reference_time": {"start": "2006-09-01 00:00:00", "end": "2007-10-01 00:00:00", "normalized_text": "from 2006-09 to 2007-09", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"923": [{"start": "2005-09-01 00:00:00", "end": "2007-10-01 00:00:00", "normalized_text": "from 2005-09 to 2007-09"}], "385": [{"start": "2006-09-01 00:00:00", "end": "2007-10-01 00:00:00", "normalized_text": "from 2006-09 to 2007-09"}]}, "chosen_source": {"id": "SWKS/2007/page_93.pdf-2", "qa": {"question": "what is the net change in pension liability balance from september 2006 to september 2007?", "answer": "385", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "159", "arg2": "226", "res": "385"}], "program": "add(159, 226)", "gold_inds": {"table_4": "the pension adjustment of pension adjustments is 159 ; the pension adjustment of accumulated other comprehensive loss is 159 ;", "table_5": "the adjustment to initially apply sfas 158 of pension adjustments is 226 ; the adjustment to initially apply sfas 158 of accumulated other comprehensive loss is 226 ;"}, "exe_ans": 385.0, "tfidftopn": {"table_6": "The balance as of september 28 2007 of pension adjustments is $ -214 ( 214 ) ; The balance as of september 28 2007 of accumulated other comprehensive loss is $ -214 ( 214 ) ;"}, "program_re": "add(159, 226)", "model_input": [["table_3", "the balance as of september 29 2006 of pension adjustments is $ -599 ( 599 ) ; the balance as of september 29 2006 of accumulated other comprehensive loss is $ -599 ( 599 ) ;"], ["table_4", "the pension adjustment of pension adjustments is 159 ; the pension adjustment of accumulated other comprehensive loss is 159 ;"], ["table_5", "the adjustment to initially apply sfas 158 of pension adjustments is 226 ; the adjustment to initially apply sfas 158 of accumulated other comprehensive loss is 226 ;"]]}, "answers": ["385"]}, "rejected_source": {"id": "SWKS/2007/page_93.pdf-1", "qa": {"question": "what is the net change in pension liability balance from september 2005 to september 2007?", "answer": "923", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-214", "arg2": "-1137", "res": "923"}], "program": "subtract(-214, -1137)", "gold_inds": {"table_1": "the balance as of september 30 2005 of pension adjustments is -1137 ( 1137 ) ; the balance as of september 30 2005 of accumulated other comprehensive loss is -1137 ( 1137 ) ;", "table_6": "the balance as of september 28 2007 of pension adjustments is $ -214 ( 214 ) ; the balance as of september 28 2007 of accumulated other comprehensive loss is $ -214 ( 214 ) ;"}, "exe_ans": 923.0, "tfidftopn": {"text_3": "we adopted sfas 158 on september 28 , 2007 ."}, "program_re": "subtract(-214, -1137)", "model_input": [["table_1", "the balance as of september 30 2005 of pension adjustments is -1137 ( 1137 ) ; the balance as of september 30 2005 of accumulated other comprehensive loss is -1137 ( 1137 ) ;"], ["table_4", "the pension adjustment of pension adjustments is 159 ; the pension adjustment of accumulated other comprehensive loss is 159 ;"], ["table_6", "the balance as of september 28 2007 of pension adjustments is $ -214 ( 214 ) ; the balance as of september 28 2007 of accumulated other comprehensive loss is $ -214 ( 214 ) ;"]]}, "answers": ["923"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000864", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in pension liability balance from september 2005 to september 2007?\nReference time interval: 2005-09-01 00:00:00 to 2007-10-01 00:00:00", "chosen": "923.", "rejected": "385.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SWKS || what is the net change in pension liability balance <TIME>?", "doc_prefix": "SWKS", "base_question": "what is the net change in pension liability balance <TIME>?", "original_question": "what is the net change in pension liability balance from september 2005 to september 2007?", "reference_time": {"start": "2005-09-01 00:00:00", "end": "2007-10-01 00:00:00", "normalized_text": "from 2005-09 to 2007-09", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"923": [{"start": "2005-09-01 00:00:00", "end": "2007-10-01 00:00:00", "normalized_text": "from 2005-09 to 2007-09"}], "385": [{"start": "2006-09-01 00:00:00", "end": "2007-10-01 00:00:00", "normalized_text": "from 2006-09 to 2007-09"}]}, "chosen_source": {"id": "SWKS/2007/page_93.pdf-1", "qa": {"question": "what is the net change in pension liability balance from september 2005 to september 2007?", "answer": "923", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-214", "arg2": "-1137", "res": "923"}], "program": "subtract(-214, -1137)", "gold_inds": {"table_1": "the balance as of september 30 2005 of pension adjustments is -1137 ( 1137 ) ; the balance as of september 30 2005 of accumulated other comprehensive loss is -1137 ( 1137 ) ;", "table_6": "the balance as of september 28 2007 of pension adjustments is $ -214 ( 214 ) ; the balance as of september 28 2007 of accumulated other comprehensive loss is $ -214 ( 214 ) ;"}, "exe_ans": 923.0, "tfidftopn": {"text_3": "we adopted sfas 158 on september 28 , 2007 ."}, "program_re": "subtract(-214, -1137)", "model_input": [["table_1", "the balance as of september 30 2005 of pension adjustments is -1137 ( 1137 ) ; the balance as of september 30 2005 of accumulated other comprehensive loss is -1137 ( 1137 ) ;"], ["table_4", "the pension adjustment of pension adjustments is 159 ; the pension adjustment of accumulated other comprehensive loss is 159 ;"], ["table_6", "the balance as of september 28 2007 of pension adjustments is $ -214 ( 214 ) ; the balance as of september 28 2007 of accumulated other comprehensive loss is $ -214 ( 214 ) ;"]]}, "answers": ["923"]}, "rejected_source": {"id": "SWKS/2007/page_93.pdf-2", "qa": {"question": "what is the net change in pension liability balance from september 2006 to september 2007?", "answer": "385", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "159", "arg2": "226", "res": "385"}], "program": "add(159, 226)", "gold_inds": {"table_4": "the pension adjustment of pension adjustments is 159 ; the pension adjustment of accumulated other comprehensive loss is 159 ;", "table_5": "the adjustment to initially apply sfas 158 of pension adjustments is 226 ; the adjustment to initially apply sfas 158 of accumulated other comprehensive loss is 226 ;"}, "exe_ans": 385.0, "tfidftopn": {"table_6": "The balance as of september 28 2007 of pension adjustments is $ -214 ( 214 ) ; The balance as of september 28 2007 of accumulated other comprehensive loss is $ -214 ( 214 ) ;"}, "program_re": "add(159, 226)", "model_input": [["table_3", "the balance as of september 29 2006 of pension adjustments is $ -599 ( 599 ) ; the balance as of september 29 2006 of accumulated other comprehensive loss is $ -599 ( 599 ) ;"], ["table_4", "the pension adjustment of pension adjustments is 159 ; the pension adjustment of accumulated other comprehensive loss is 159 ;"], ["table_5", "the adjustment to initially apply sfas 158 of pension adjustments is 226 ; the adjustment to initially apply sfas 158 of accumulated other comprehensive loss is 226 ;"]]}, "answers": ["385"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000865", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total value paid for purchased shares during december 2014?\nReference time interval: 2014-12-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "12.1.", "rejected": "27.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the total value paid for purchased shares <TIME>?", "doc_prefix": "CE", "base_question": "what is the total value paid for purchased shares <TIME>?", "original_question": "what is the total value paid for purchased shares during december 2014?", "reference_time": {"start": "2014-12-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014-12", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"27.7": [{"start": "2014-11-01 00:00:00", "end": "2014-12-01 00:00:00", "normalized_text": "2014-11"}], "12.1": [{"start": "2014-12-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014-12"}]}, "chosen_source": {"id": "CE/2014/page_32.pdf-4", "qa": {"question": "what is the total value paid for purchased shares during december 2014?", "answer": "12.1", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "199796", "arg2": "60.78", "res": "12143600.88"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "12.1"}], "program": "multiply(199796, 60.78), divide(#0, const_1000000)", "gold_inds": {"table_3": "period the december 1 - 31 2014 of totalnumberof sharespurchased ( 1 ) is 199796 ; the december 1 - 31 2014 of averageprice paidper share is $ 60.78 ; the december 1 - 31 2014 of total numberof sharespurchased aspart of publiclyannounced program is 190259 ; the december 1 - 31 2014 of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is $ 451000000 ;"}, "exe_ans": 12.1436, "tfidftopn": {"text_0": "celanese purchases of its equity securities information regarding repurchases of our common stock during the three months ended december 31 , 2014 is as follows : period number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced program approximate dollar value of shares remaining that may be purchased under the program ( 2 ) .", "table_4": "period The total of totalnumberof sharespurchased ( 1 ) is 860504 ; The total of averageprice paidper share is ; The total of total numberof sharespurchased aspart of publiclyannounced program is 823187 ; The total of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is ;"}, "program_re": "divide(multiply(199796, 60.78), const_1000000)", "model_input": [["text_0", "celanese purchases of its equity securities information regarding repurchases of our common stock during the three months ended december 31 , 2014 is as follows : period number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced program approximate dollar value of shares remaining that may be purchased under the program ( 2 ) ."], ["table_3", "period the december 1 - 31 2014 of totalnumberof sharespurchased ( 1 ) is 199796 ; the december 1 - 31 2014 of averageprice paidper share is $ 60.78 ; the december 1 - 31 2014 of total numberof sharespurchased aspart of publiclyannounced program is 190259 ; the december 1 - 31 2014 of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is $ 451000000 ;"], ["table_4", "period the total of totalnumberof sharespurchased ( 1 ) is 860504 ; the total of averageprice paidper share is ; the total of total numberof sharespurchased aspart of publiclyannounced program is 823187 ; the total of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is ;"]]}, "answers": ["12.1"]}, "rejected_source": {"id": "CE/2014/page_32.pdf-3", "qa": {"question": "what is the total value paid for purchased shares during november 2014?", "answer": "27.7", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "multiply1-1", "arg1": "468128", "arg2": "59.25", "res": "27736584"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000000", "res": "27.7"}], "program": "multiply(468128, 59.25), divide(#0, const_1000000)", "gold_inds": {"text_2": "( 2 ) our board of directors has authorized the aggregate repurchase of $ 1.4 billion of our common stock since february 2008 .", "table_2": "period the november 1 - 30 2014 of totalnumberof sharespurchased ( 1 ) is 468128 ; the november 1 - 30 2014 of averageprice paidper share is $ 59.25 ; the november 1 - 30 2014 of total numberof sharespurchased aspart of publiclyannounced program is 468128 ; the november 1 - 30 2014 of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is $ 463000000 ;"}, "exe_ans": 27.73658, "tfidftopn": {"text_0": "celanese purchases of its equity securities information regarding repurchases of our common stock during the three months ended december 31 , 2014 is as follows : period number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced program approximate dollar value of shares remaining that may be purchased under the program ( 2 ) ."}, "program_re": "divide(multiply(468128, 59.25), const_1000000)", "model_input": [["table_2", "period the november 1 - 30 2014 of totalnumberof sharespurchased ( 1 ) is 468128 ; the november 1 - 30 2014 of averageprice paidper share is $ 59.25 ; the november 1 - 30 2014 of total numberof sharespurchased aspart of publiclyannounced program is 468128 ; the november 1 - 30 2014 of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is $ 463000000 ;"], ["table_4", "period the total of totalnumberof sharespurchased ( 1 ) is 860504 ; the total of averageprice paidper share is ; the total of total numberof sharespurchased aspart of publiclyannounced program is 823187 ; the total of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is ;"], ["text_2", "( 2 ) our board of directors has authorized the aggregate repurchase of $ 1.4 billion of our common stock since february 2008 ."]]}, "answers": ["27.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000866", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total value paid for purchased shares during november 2014?\nReference time interval: 2014-11-01 00:00:00 to 2014-12-01 00:00:00", "chosen": "27.7.", "rejected": "12.1.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the total value paid for purchased shares <TIME>?", "doc_prefix": "CE", "base_question": "what is the total value paid for purchased shares <TIME>?", "original_question": "what is the total value paid for purchased shares during november 2014?", "reference_time": {"start": "2014-11-01 00:00:00", "end": "2014-12-01 00:00:00", "normalized_text": "2014-11", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"27.7": [{"start": "2014-11-01 00:00:00", "end": "2014-12-01 00:00:00", "normalized_text": "2014-11"}], "12.1": [{"start": "2014-12-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014-12"}]}, "chosen_source": {"id": "CE/2014/page_32.pdf-3", "qa": {"question": "what is the total value paid for purchased shares during november 2014?", "answer": "27.7", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "multiply1-1", "arg1": "468128", "arg2": "59.25", "res": "27736584"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000000", "res": "27.7"}], "program": "multiply(468128, 59.25), divide(#0, const_1000000)", "gold_inds": {"text_2": "( 2 ) our board of directors has authorized the aggregate repurchase of $ 1.4 billion of our common stock since february 2008 .", "table_2": "period the november 1 - 30 2014 of totalnumberof sharespurchased ( 1 ) is 468128 ; the november 1 - 30 2014 of averageprice paidper share is $ 59.25 ; the november 1 - 30 2014 of total numberof sharespurchased aspart of publiclyannounced program is 468128 ; the november 1 - 30 2014 of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is $ 463000000 ;"}, "exe_ans": 27.73658, "tfidftopn": {"text_0": "celanese purchases of its equity securities information regarding repurchases of our common stock during the three months ended december 31 , 2014 is as follows : period number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced program approximate dollar value of shares remaining that may be purchased under the program ( 2 ) ."}, "program_re": "divide(multiply(468128, 59.25), const_1000000)", "model_input": [["table_2", "period the november 1 - 30 2014 of totalnumberof sharespurchased ( 1 ) is 468128 ; the november 1 - 30 2014 of averageprice paidper share is $ 59.25 ; the november 1 - 30 2014 of total numberof sharespurchased aspart of publiclyannounced program is 468128 ; the november 1 - 30 2014 of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is $ 463000000 ;"], ["table_4", "period the total of totalnumberof sharespurchased ( 1 ) is 860504 ; the total of averageprice paidper share is ; the total of total numberof sharespurchased aspart of publiclyannounced program is 823187 ; the total of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is ;"], ["text_2", "( 2 ) our board of directors has authorized the aggregate repurchase of $ 1.4 billion of our common stock since february 2008 ."]]}, "answers": ["27.7"]}, "rejected_source": {"id": "CE/2014/page_32.pdf-4", "qa": {"question": "what is the total value paid for purchased shares during december 2014?", "answer": "12.1", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "199796", "arg2": "60.78", "res": "12143600.88"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "12.1"}], "program": "multiply(199796, 60.78), divide(#0, const_1000000)", "gold_inds": {"table_3": "period the december 1 - 31 2014 of totalnumberof sharespurchased ( 1 ) is 199796 ; the december 1 - 31 2014 of averageprice paidper share is $ 60.78 ; the december 1 - 31 2014 of total numberof sharespurchased aspart of publiclyannounced program is 190259 ; the december 1 - 31 2014 of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is $ 451000000 ;"}, "exe_ans": 12.1436, "tfidftopn": {"text_0": "celanese purchases of its equity securities information regarding repurchases of our common stock during the three months ended december 31 , 2014 is as follows : period number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced program approximate dollar value of shares remaining that may be purchased under the program ( 2 ) .", "table_4": "period The total of totalnumberof sharespurchased ( 1 ) is 860504 ; The total of averageprice paidper share is ; The total of total numberof sharespurchased aspart of publiclyannounced program is 823187 ; The total of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is ;"}, "program_re": "divide(multiply(199796, 60.78), const_1000000)", "model_input": [["text_0", "celanese purchases of its equity securities information regarding repurchases of our common stock during the three months ended december 31 , 2014 is as follows : period number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced program approximate dollar value of shares remaining that may be purchased under the program ( 2 ) ."], ["table_3", "period the december 1 - 31 2014 of totalnumberof sharespurchased ( 1 ) is 199796 ; the december 1 - 31 2014 of averageprice paidper share is $ 60.78 ; the december 1 - 31 2014 of total numberof sharespurchased aspart of publiclyannounced program is 190259 ; the december 1 - 31 2014 of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is $ 451000000 ;"], ["table_4", "period the total of totalnumberof sharespurchased ( 1 ) is 860504 ; the total of averageprice paidper share is ; the total of total numberof sharespurchased aspart of publiclyannounced program is 823187 ; the total of approximatedollarvalue of sharesremaining thatmay bepurchased underthe program ( 2 ) is ;"]]}, "answers": ["12.1"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000867", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net increase in the balance of outstanding shares during 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-17.", "rejected": "473.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the net increase in the balance of outstanding shares <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the net increase in the balance of outstanding shares <TIME>?", "original_question": "what is the net increase in the balance of outstanding shares during 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-17": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "473": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "ADBE/2013/page_89.pdf-2", "qa": {"question": "what is the net increase in the balance of outstanding shares during 2012?", "answer": "-17", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "388", "arg2": "405", "res": "-17"}], "program": "subtract(388, 405)", "gold_inds": {"table_1": "the beginning outstanding balance of 2013 is 388 ; the beginning outstanding balance of 2012 is 405 ; the beginning outstanding balance of 2011 is 557 ;", "table_5": "the ending outstanding balance of 2013 is 861 ; the ending outstanding balance of 2012 is 388 ; the ending outstanding balance of 2011 is 405 ;"}, "exe_ans": -17.0, "tfidftopn": {"text_2": "actual performance resulted in participants achieving 116% ( 116 % ) of target or approximately 1.3 million shares for the 2012 program ."}, "program_re": "subtract(388, 405)", "model_input": [["table_1", "the beginning outstanding balance of 2013 is 388 ; the beginning outstanding balance of 2012 is 405 ; the beginning outstanding balance of 2011 is 557 ;"], ["table_4", "the forfeited of 2013 is -141 ( 141 ) ; the forfeited of 2012 is -45 ( 45 ) ; the forfeited of 2011 is -53 ( 53 ) ;"], ["table_5", "the ending outstanding balance of 2013 is 861 ; the ending outstanding balance of 2012 is 388 ; the ending outstanding balance of 2011 is 405 ;"]]}, "answers": ["-17"]}, "rejected_source": {"id": "ADBE/2013/page_89.pdf-4", "qa": {"question": "what is the net increase in the balance of outstanding shares during 2013?", "answer": "473", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "861", "arg2": "388", "res": "473"}], "program": "subtract(861, 388)", "gold_inds": {"table_1": "the beginning outstanding balance of 2013 is 388 ; the beginning outstanding balance of 2012 is 405 ; the beginning outstanding balance of 2011 is 557 ;", "table_5": "the ending outstanding balance of 2013 is 861 ; the ending outstanding balance of 2012 is 388 ; the ending outstanding balance of 2011 is 405 ;"}, "exe_ans": 473.0, "tfidftopn": {"text_3": "one third of the shares under the 2012 program vested in the first quarter of fiscal 2013 and the remaining two thirds vest evenly on the following two anniversaries of the grant , contingent upon the recipient's continued service to adobe ."}, "program_re": "subtract(861, 388)", "model_input": [["table_1", "the beginning outstanding balance of 2013 is 388 ; the beginning outstanding balance of 2012 is 405 ; the beginning outstanding balance of 2011 is 557 ;"], ["table_2", "the achieved of 2013 is 1279 ; the achieved of 2012 is 492 ; the achieved of 2011 is 337 ;"], ["table_5", "the ending outstanding balance of 2013 is 861 ; the ending outstanding balance of 2012 is 388 ; the ending outstanding balance of 2011 is 405 ;"]]}, "answers": ["473"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000868", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net increase in the balance of outstanding shares during 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "473.", "rejected": "-17.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the net increase in the balance of outstanding shares <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the net increase in the balance of outstanding shares <TIME>?", "original_question": "what is the net increase in the balance of outstanding shares during 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-17": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "473": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "ADBE/2013/page_89.pdf-4", "qa": {"question": "what is the net increase in the balance of outstanding shares during 2013?", "answer": "473", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "861", "arg2": "388", "res": "473"}], "program": "subtract(861, 388)", "gold_inds": {"table_1": "the beginning outstanding balance of 2013 is 388 ; the beginning outstanding balance of 2012 is 405 ; the beginning outstanding balance of 2011 is 557 ;", "table_5": "the ending outstanding balance of 2013 is 861 ; the ending outstanding balance of 2012 is 388 ; the ending outstanding balance of 2011 is 405 ;"}, "exe_ans": 473.0, "tfidftopn": {"text_3": "one third of the shares under the 2012 program vested in the first quarter of fiscal 2013 and the remaining two thirds vest evenly on the following two anniversaries of the grant , contingent upon the recipient's continued service to adobe ."}, "program_re": "subtract(861, 388)", "model_input": [["table_1", "the beginning outstanding balance of 2013 is 388 ; the beginning outstanding balance of 2012 is 405 ; the beginning outstanding balance of 2011 is 557 ;"], ["table_2", "the achieved of 2013 is 1279 ; the achieved of 2012 is 492 ; the achieved of 2011 is 337 ;"], ["table_5", "the ending outstanding balance of 2013 is 861 ; the ending outstanding balance of 2012 is 388 ; the ending outstanding balance of 2011 is 405 ;"]]}, "answers": ["473"]}, "rejected_source": {"id": "ADBE/2013/page_89.pdf-2", "qa": {"question": "what is the net increase in the balance of outstanding shares during 2012?", "answer": "-17", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "388", "arg2": "405", "res": "-17"}], "program": "subtract(388, 405)", "gold_inds": {"table_1": "the beginning outstanding balance of 2013 is 388 ; the beginning outstanding balance of 2012 is 405 ; the beginning outstanding balance of 2011 is 557 ;", "table_5": "the ending outstanding balance of 2013 is 861 ; the ending outstanding balance of 2012 is 388 ; the ending outstanding balance of 2011 is 405 ;"}, "exe_ans": -17.0, "tfidftopn": {"text_2": "actual performance resulted in participants achieving 116% ( 116 % ) of target or approximately 1.3 million shares for the 2012 program ."}, "program_re": "subtract(388, 405)", "model_input": [["table_1", "the beginning outstanding balance of 2013 is 388 ; the beginning outstanding balance of 2012 is 405 ; the beginning outstanding balance of 2011 is 557 ;"], ["table_4", "the forfeited of 2013 is -141 ( 141 ) ; the forfeited of 2012 is -45 ( 45 ) ; the forfeited of 2011 is -53 ( 53 ) ;"], ["table_5", "the ending outstanding balance of 2013 is 861 ; the ending outstanding balance of 2012 is 388 ; the ending outstanding balance of 2011 is 405 ;"]]}, "answers": ["-17"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000869", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the tax expense related to discontinued operations in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "25.0.", "rejected": "7.0.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISH || what is the tax expense related to discontinued operations <TIME>?", "doc_prefix": "DISH", "base_question": "what is the tax expense related to discontinued operations <TIME>?", "original_question": "what is the tax expense related to discontinued operations in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25.0": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "7.0": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "DISH/2014/page_137.pdf-2", "qa": {"question": "what is the tax expense related to discontinued operations in 2012?", "answer": "25.0", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5, 6], "steps": [{"op": "minus2-1", "arg1": "62", "arg2": "37", "res": "25.0"}], "program": "subtract(62, 37)", "gold_inds": {"text_5": "201cincome ( loss ) from discontinued operations , before income taxes 201d for the same periods was a loss of $ 54 million and $ 62 million , respectively .", "text_6": "in addition , 201cincome ( loss ) from discontinued operations , net of tax 201d for the same periods was a loss of $ 47 million and $ 37 million , respectively ."}, "exe_ans": 25.0, "tfidftopn": {"text_16": "in total , we recorded charges of approximately $ 46 million on a pre-tax basis related to the administration , which was recorded in 201cincome ( loss ) from discontinued operations , net of tax 201d on our consolidated statements of operations and comprehensive income ( loss ) for the year ended december 31 , 2012. ."}, "program_re": "subtract(62, 37)", "model_input": [["text_5", "201cincome ( loss ) from discontinued operations , before income taxes 201d for the same periods was a loss of $ 54 million and $ 62 million , respectively ."], ["text_6", "in addition , 201cincome ( loss ) from discontinued operations , net of tax 201d for the same periods was a loss of $ 47 million and $ 37 million , respectively ."], ["text_16", "in total , we recorded charges of approximately $ 46 million on a pre-tax basis related to the administration , which was recorded in 201cincome ( loss ) from discontinued operations , net of tax 201d on our consolidated statements of operations and comprehensive income ( loss ) for the year ended december 31 , 2012. ."]]}, "answers": ["25.0"]}, "rejected_source": {"id": "DISH/2014/page_137.pdf-1", "qa": {"question": "what is the tax expense related to discontinued operations in 2013?", "answer": "7.0", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "54", "arg2": "47", "res": "7.0"}], "program": "subtract(54, 47)", "gold_inds": {"text_5": "201cincome ( loss ) from discontinued operations , before income taxes 201d for the same periods was a loss of $ 54 million and $ 62 million , respectively .", "text_6": "in addition , 201cincome ( loss ) from discontinued operations , net of tax 201d for the same periods was a loss of $ 47 million and $ 37 million , respectively ."}, "exe_ans": 7.0, "tfidftopn": {"text_16": "in total , we recorded charges of approximately $ 46 million on a pre-tax basis related to the administration , which was recorded in 201cincome ( loss ) from discontinued operations , net of tax 201d on our consolidated statements of operations and comprehensive income ( loss ) for the year ended december 31 , 2012. ."}, "program_re": "subtract(54, 47)", "model_input": [["text_5", "201cincome ( loss ) from discontinued operations , before income taxes 201d for the same periods was a loss of $ 54 million and $ 62 million , respectively ."], ["text_6", "in addition , 201cincome ( loss ) from discontinued operations , net of tax 201d for the same periods was a loss of $ 47 million and $ 37 million , respectively ."], ["text_16", "in total , we recorded charges of approximately $ 46 million on a pre-tax basis related to the administration , which was recorded in 201cincome ( loss ) from discontinued operations , net of tax 201d on our consolidated statements of operations and comprehensive income ( loss ) for the year ended december 31 , 2012. ."]]}, "answers": ["7.0"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000870", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the tax expense related to discontinued operations in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "7.0.", "rejected": "25.0.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISH || what is the tax expense related to discontinued operations <TIME>?", "doc_prefix": "DISH", "base_question": "what is the tax expense related to discontinued operations <TIME>?", "original_question": "what is the tax expense related to discontinued operations in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25.0": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "7.0": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "DISH/2014/page_137.pdf-1", "qa": {"question": "what is the tax expense related to discontinued operations in 2013?", "answer": "7.0", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5, 6], "steps": [{"op": "minus1-1", "arg1": "54", "arg2": "47", "res": "7.0"}], "program": "subtract(54, 47)", "gold_inds": {"text_5": "201cincome ( loss ) from discontinued operations , before income taxes 201d for the same periods was a loss of $ 54 million and $ 62 million , respectively .", "text_6": "in addition , 201cincome ( loss ) from discontinued operations , net of tax 201d for the same periods was a loss of $ 47 million and $ 37 million , respectively ."}, "exe_ans": 7.0, "tfidftopn": {"text_16": "in total , we recorded charges of approximately $ 46 million on a pre-tax basis related to the administration , which was recorded in 201cincome ( loss ) from discontinued operations , net of tax 201d on our consolidated statements of operations and comprehensive income ( loss ) for the year ended december 31 , 2012. ."}, "program_re": "subtract(54, 47)", "model_input": [["text_5", "201cincome ( loss ) from discontinued operations , before income taxes 201d for the same periods was a loss of $ 54 million and $ 62 million , respectively ."], ["text_6", "in addition , 201cincome ( loss ) from discontinued operations , net of tax 201d for the same periods was a loss of $ 47 million and $ 37 million , respectively ."], ["text_16", "in total , we recorded charges of approximately $ 46 million on a pre-tax basis related to the administration , which was recorded in 201cincome ( loss ) from discontinued operations , net of tax 201d on our consolidated statements of operations and comprehensive income ( loss ) for the year ended december 31 , 2012. ."]]}, "answers": ["7.0"]}, "rejected_source": {"id": "DISH/2014/page_137.pdf-2", "qa": {"question": "what is the tax expense related to discontinued operations in 2012?", "answer": "25.0", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5, 6], "steps": [{"op": "minus2-1", "arg1": "62", "arg2": "37", "res": "25.0"}], "program": "subtract(62, 37)", "gold_inds": {"text_5": "201cincome ( loss ) from discontinued operations , before income taxes 201d for the same periods was a loss of $ 54 million and $ 62 million , respectively .", "text_6": "in addition , 201cincome ( loss ) from discontinued operations , net of tax 201d for the same periods was a loss of $ 47 million and $ 37 million , respectively ."}, "exe_ans": 25.0, "tfidftopn": {"text_16": "in total , we recorded charges of approximately $ 46 million on a pre-tax basis related to the administration , which was recorded in 201cincome ( loss ) from discontinued operations , net of tax 201d on our consolidated statements of operations and comprehensive income ( loss ) for the year ended december 31 , 2012. ."}, "program_re": "subtract(62, 37)", "model_input": [["text_5", "201cincome ( loss ) from discontinued operations , before income taxes 201d for the same periods was a loss of $ 54 million and $ 62 million , respectively ."], ["text_6", "in addition , 201cincome ( loss ) from discontinued operations , net of tax 201d for the same periods was a loss of $ 47 million and $ 37 million , respectively ."], ["text_16", "in total , we recorded charges of approximately $ 46 million on a pre-tax basis related to the administration , which was recorded in 201cincome ( loss ) from discontinued operations , net of tax 201d on our consolidated statements of operations and comprehensive income ( loss ) for the year ended december 31 , 2012. ."]]}, "answers": ["25.0"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000871", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for mfc in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-5.1%.", "rejected": "13.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for mfc <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for mfc <TIME>?", "original_question": "what is the growth rate in operating profit for mfc in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13.9%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-5.1%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2014/page_47.pdf-3", "qa": {"question": "what is the growth rate in operating profit for mfc in 2014?", "answer": "-5.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1358", "arg2": "1431", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1431", "res": "-5.1%"}], "program": "subtract(1358, 1431), divide(#0, 1431)", "gold_inds": {"table_3": "the operating margins of 2014 is 17.7% ( 17.7 % ) ; the operating margins of 2013 is 18.4% ( 18.4 % ) ; the operating margins of 2012 is 16.8% ( 16.8 % ) ;", "table_2": "the operating profit of 2014 is 1358 ; the operating profit of 2013 is 1431 ; the operating profit of 2012 is 1256 ;"}, "exe_ans": -0.05101, "tfidftopn": {"text_0": "is&gs 2019 operating profit decreased $ 60 million , or 8% ( 8 % ) , for 2014 compared to 2013 ."}, "program_re": "divide(subtract(1358, 1431), 1431)", "model_input": [["table_1", "the net sales of 2014 is $ 7680 ; the net sales of 2013 is $ 7757 ; the net sales of 2012 is $ 7457 ;"], ["table_2", "the operating profit of 2014 is 1358 ; the operating profit of 2013 is 1431 ; the operating profit of 2012 is 1256 ;"], ["table_3", "the operating margins of 2014 is 17.7% ( 17.7 % ) ; the operating margins of 2013 is 18.4% ( 18.4 % ) ; the operating margins of 2012 is 16.8% ( 16.8 % ) ;"]]}, "answers": ["-5.1%"]}, "rejected_source": {"id": "LMT/2014/page_47.pdf-2", "qa": {"question": "what is the growth rate in operating profit for mfc in 2013?", "answer": "13.9%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1431", "arg2": "1256", "res": "175"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1256", "res": "13.9%"}], "program": "subtract(1431, 1256), divide(#0, 1256)", "gold_inds": {"table_3": "the operating margins of 2014 is 17.7% ( 17.7 % ) ; the operating margins of 2013 is 18.4% ( 18.4 % ) ; the operating margins of 2012 is 16.8% ( 16.8 % ) ;", "table_2": "the operating profit of 2014 is 1358 ; the operating profit of 2013 is 1431 ; the operating profit of 2012 is 1256 ;"}, "exe_ans": 0.13933, "tfidftopn": {"text_0": "is&gs 2019 operating profit decreased $ 60 million , or 8% ( 8 % ) , for 2014 compared to 2013 ."}, "program_re": "divide(subtract(1431, 1256), 1256)", "model_input": [["table_1", "the net sales of 2014 is $ 7680 ; the net sales of 2013 is $ 7757 ; the net sales of 2012 is $ 7457 ;"], ["table_2", "the operating profit of 2014 is 1358 ; the operating profit of 2013 is 1431 ; the operating profit of 2012 is 1256 ;"], ["table_3", "the operating margins of 2014 is 17.7% ( 17.7 % ) ; the operating margins of 2013 is 18.4% ( 18.4 % ) ; the operating margins of 2012 is 16.8% ( 16.8 % ) ;"]]}, "answers": ["13.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000872", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit for mfc in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "13.9%.", "rejected": "-5.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit for mfc <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit for mfc <TIME>?", "original_question": "what is the growth rate in operating profit for mfc in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13.9%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-5.1%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2014/page_47.pdf-2", "qa": {"question": "what is the growth rate in operating profit for mfc in 2013?", "answer": "13.9%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1431", "arg2": "1256", "res": "175"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1256", "res": "13.9%"}], "program": "subtract(1431, 1256), divide(#0, 1256)", "gold_inds": {"table_3": "the operating margins of 2014 is 17.7% ( 17.7 % ) ; the operating margins of 2013 is 18.4% ( 18.4 % ) ; the operating margins of 2012 is 16.8% ( 16.8 % ) ;", "table_2": "the operating profit of 2014 is 1358 ; the operating profit of 2013 is 1431 ; the operating profit of 2012 is 1256 ;"}, "exe_ans": 0.13933, "tfidftopn": {"text_0": "is&gs 2019 operating profit decreased $ 60 million , or 8% ( 8 % ) , for 2014 compared to 2013 ."}, "program_re": "divide(subtract(1431, 1256), 1256)", "model_input": [["table_1", "the net sales of 2014 is $ 7680 ; the net sales of 2013 is $ 7757 ; the net sales of 2012 is $ 7457 ;"], ["table_2", "the operating profit of 2014 is 1358 ; the operating profit of 2013 is 1431 ; the operating profit of 2012 is 1256 ;"], ["table_3", "the operating margins of 2014 is 17.7% ( 17.7 % ) ; the operating margins of 2013 is 18.4% ( 18.4 % ) ; the operating margins of 2012 is 16.8% ( 16.8 % ) ;"]]}, "answers": ["13.9%"]}, "rejected_source": {"id": "LMT/2014/page_47.pdf-3", "qa": {"question": "what is the growth rate in operating profit for mfc in 2014?", "answer": "-5.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1358", "arg2": "1431", "res": "-73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1431", "res": "-5.1%"}], "program": "subtract(1358, 1431), divide(#0, 1431)", "gold_inds": {"table_3": "the operating margins of 2014 is 17.7% ( 17.7 % ) ; the operating margins of 2013 is 18.4% ( 18.4 % ) ; the operating margins of 2012 is 16.8% ( 16.8 % ) ;", "table_2": "the operating profit of 2014 is 1358 ; the operating profit of 2013 is 1431 ; the operating profit of 2012 is 1256 ;"}, "exe_ans": -0.05101, "tfidftopn": {"text_0": "is&gs 2019 operating profit decreased $ 60 million , or 8% ( 8 % ) , for 2014 compared to 2013 ."}, "program_re": "divide(subtract(1358, 1431), 1431)", "model_input": [["table_1", "the net sales of 2014 is $ 7680 ; the net sales of 2013 is $ 7757 ; the net sales of 2012 is $ 7457 ;"], ["table_2", "the operating profit of 2014 is 1358 ; the operating profit of 2013 is 1431 ; the operating profit of 2012 is 1256 ;"], ["table_3", "the operating margins of 2014 is 17.7% ( 17.7 % ) ; the operating margins of 2013 is 18.4% ( 18.4 % ) ; the operating margins of 2012 is 16.8% ( 16.8 % ) ;"]]}, "answers": ["-5.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000873", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total cable segment capital expenditures in 2004 where due to upgrading of cable systems?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "25%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CMCSA || what percentage of total cable segment capital expenditures <TIME> where due to upgrading of cable systems?", "doc_prefix": "CMCSA", "base_question": "what percentage of total cable segment capital expenditures <TIME> where due to upgrading of cable systems?", "original_question": "what percentage of total cable segment capital expenditures in 2004 where due to upgrading of cable systems?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "7%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "CMCSA/2004/page_30.pdf-1", "qa": {"question": "what percentage of total cable segment capital expenditures in 2004 where due to upgrading of cable systems?", "answer": "25%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "902", "arg2": "3622", "res": "25%"}], "program": "divide(902, 3622)", "gold_inds": {"table_2": "the upgrading of cable systems of 2004 is 902 ; the upgrading of cable systems of 2005 is 200 ;", "table_4": "the total cable segment capital expenditures of 2004 is $ 3622 ; the total cable segment capital expenditures of 2005 is $ 3000 ;"}, "exe_ans": 0.24903, "tfidftopn": {"text_15": "the following table illustrates the capital expenditures we incurred in our cable segment during 2004 and expect to incur in 2005 ( dollars in millions ) : ."}, "program_re": "divide(902, 3622)", "model_input": [["text_15", "the following table illustrates the capital expenditures we incurred in our cable segment during 2004 and expect to incur in 2005 ( dollars in millions ) : ."], ["table_2", "the upgrading of cable systems of 2004 is 902 ; the upgrading of cable systems of 2005 is 200 ;"], ["table_4", "the total cable segment capital expenditures of 2004 is $ 3622 ; the total cable segment capital expenditures of 2005 is $ 3000 ;"]]}, "answers": ["25%"]}, "rejected_source": {"id": "CMCSA/2004/page_30.pdf-2", "qa": {"question": "what percentage of total cable segment capital expenditures in 2005 where due to upgrading of cable systems?", "answer": "7%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "200", "arg2": "3000", "res": "7%"}], "program": "divide(200, 3000)", "gold_inds": {"table_2": "the upgrading of cable systems of 2004 is 902 ; the upgrading of cable systems of 2005 is 200 ;", "table_4": "the total cable segment capital expenditures of 2004 is $ 3622 ; the total cable segment capital expenditures of 2005 is $ 3000 ;"}, "exe_ans": 0.06667, "tfidftopn": {"text_15": "the following table illustrates the capital expenditures we incurred in our cable segment during 2004 and expect to incur in 2005 ( dollars in millions ) : ."}, "program_re": "divide(200, 3000)", "model_input": [["text_15", "the following table illustrates the capital expenditures we incurred in our cable segment during 2004 and expect to incur in 2005 ( dollars in millions ) : ."], ["table_2", "the upgrading of cable systems of 2004 is 902 ; the upgrading of cable systems of 2005 is 200 ;"], ["table_4", "the total cable segment capital expenditures of 2004 is $ 3622 ; the total cable segment capital expenditures of 2005 is $ 3000 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000874", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total cable segment capital expenditures in 2005 where due to upgrading of cable systems?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "7%.", "rejected": "25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CMCSA || what percentage of total cable segment capital expenditures <TIME> where due to upgrading of cable systems?", "doc_prefix": "CMCSA", "base_question": "what percentage of total cable segment capital expenditures <TIME> where due to upgrading of cable systems?", "original_question": "what percentage of total cable segment capital expenditures in 2005 where due to upgrading of cable systems?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "7%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "CMCSA/2004/page_30.pdf-2", "qa": {"question": "what percentage of total cable segment capital expenditures in 2005 where due to upgrading of cable systems?", "answer": "7%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "200", "arg2": "3000", "res": "7%"}], "program": "divide(200, 3000)", "gold_inds": {"table_2": "the upgrading of cable systems of 2004 is 902 ; the upgrading of cable systems of 2005 is 200 ;", "table_4": "the total cable segment capital expenditures of 2004 is $ 3622 ; the total cable segment capital expenditures of 2005 is $ 3000 ;"}, "exe_ans": 0.06667, "tfidftopn": {"text_15": "the following table illustrates the capital expenditures we incurred in our cable segment during 2004 and expect to incur in 2005 ( dollars in millions ) : ."}, "program_re": "divide(200, 3000)", "model_input": [["text_15", "the following table illustrates the capital expenditures we incurred in our cable segment during 2004 and expect to incur in 2005 ( dollars in millions ) : ."], ["table_2", "the upgrading of cable systems of 2004 is 902 ; the upgrading of cable systems of 2005 is 200 ;"], ["table_4", "the total cable segment capital expenditures of 2004 is $ 3622 ; the total cable segment capital expenditures of 2005 is $ 3000 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "CMCSA/2004/page_30.pdf-1", "qa": {"question": "what percentage of total cable segment capital expenditures in 2004 where due to upgrading of cable systems?", "answer": "25%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "902", "arg2": "3622", "res": "25%"}], "program": "divide(902, 3622)", "gold_inds": {"table_2": "the upgrading of cable systems of 2004 is 902 ; the upgrading of cable systems of 2005 is 200 ;", "table_4": "the total cable segment capital expenditures of 2004 is $ 3622 ; the total cable segment capital expenditures of 2005 is $ 3000 ;"}, "exe_ans": 0.24903, "tfidftopn": {"text_15": "the following table illustrates the capital expenditures we incurred in our cable segment during 2004 and expect to incur in 2005 ( dollars in millions ) : ."}, "program_re": "divide(902, 3622)", "model_input": [["text_15", "the following table illustrates the capital expenditures we incurred in our cable segment during 2004 and expect to incur in 2005 ( dollars in millions ) : ."], ["table_2", "the upgrading of cable systems of 2004 is 902 ; the upgrading of cable systems of 2005 is 200 ;"], ["table_4", "the total cable segment capital expenditures of 2004 is $ 3622 ; the total cable segment capital expenditures of 2005 is $ 3000 ;"]]}, "answers": ["25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000875", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock between 2005 and 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "2664.", "rejected": "613.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock <TIME>?", "doc_prefix": "PKG", "base_question": "what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock <TIME>?", "original_question": "what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock between 2005 and 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"613": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "2664": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}]}, "chosen_source": {"id": "PKG/2006/page_65.pdf-3", "qa": {"question": "what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock between 2005 and 2006?", "answer": "2664", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3680", "arg2": "1016", "res": "2664"}], "program": "subtract(3680, 1016)", "gold_inds": {"table_5": "( in thousands ) the impact on net income of year ended december 31 , 2006 is $ -3680 ( 3680 ) ; the impact on net income of year ended december 31 , 2005 is $ -1016 ( 1016 ) ; the impact on net income of year ended december 31 , 2004 is $ -403 ( 403 ) ;"}, "exe_ans": 2664.0, "tfidftopn": {"text_13": "compensation expense for stock options and restricted stock recognized in the statements of income for the year ended december 31 , 2006 , 2005 and 2004 was as follows : year ended december 31 , ( in thousands ) 2006 2005 2004 .", "text_12": "all stock-based compensation expense not recognized as of december 31 , 2005 and compensation expense related to post 2005 grants of stock options and amortization of restricted stock will be recorded directly to additional paid in capital ."}, "program_re": "subtract(3680, 1016)", "model_input": [["table_1", "( in thousands ) the stock options of year ended december 31 , 2006 is $ -3273 ( 3273 ) ; the stock options of year ended december 31 , 2005 is $ 2014 ; the stock options of year ended december 31 , 2004 is $ 2014 ;"], ["table_2", "( in thousands ) the restricted stock of year ended december 31 , 2006 is -2789 ( 2789 ) ; the restricted stock of year ended december 31 , 2005 is -1677 ( 1677 ) ; the restricted stock of year ended december 31 , 2004 is -663 ( 663 ) ;"], ["table_5", "( in thousands ) the impact on net income of year ended december 31 , 2006 is $ -3680 ( 3680 ) ; the impact on net income of year ended december 31 , 2005 is $ -1016 ( 1016 ) ; the impact on net income of year ended december 31 , 2004 is $ -403 ( 403 ) ;"]]}, "answers": ["2664"]}, "rejected_source": {"id": "PKG/2006/page_65.pdf-2", "qa": {"question": "what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock between 2004 and 2005?", "answer": "613", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1016", "arg2": "403", "res": "613"}], "program": "subtract(1016, 403)", "gold_inds": {"table_5": "( in thousands ) the impact on net income of year ended december 31 , 2006 is $ -3680 ( 3680 ) ; the impact on net income of year ended december 31 , 2005 is $ -1016 ( 1016 ) ; the impact on net income of year ended december 31 , 2004 is $ -403 ( 403 ) ;"}, "exe_ans": 613.0, "tfidftopn": {"text_13": "compensation expense for stock options and restricted stock recognized in the statements of income for the year ended december 31 , 2006 , 2005 and 2004 was as follows : year ended december 31 , ( in thousands ) 2006 2005 2004 .", "text_12": "all stock-based compensation expense not recognized as of december 31 , 2005 and compensation expense related to post 2005 grants of stock options and amortization of restricted stock will be recorded directly to additional paid in capital ."}, "program_re": "subtract(1016, 403)", "model_input": [["table_1", "( in thousands ) the stock options of year ended december 31 , 2006 is $ -3273 ( 3273 ) ; the stock options of year ended december 31 , 2005 is $ 2014 ; the stock options of year ended december 31 , 2004 is $ 2014 ;"], ["table_2", "( in thousands ) the restricted stock of year ended december 31 , 2006 is -2789 ( 2789 ) ; the restricted stock of year ended december 31 , 2005 is -1677 ( 1677 ) ; the restricted stock of year ended december 31 , 2004 is -663 ( 663 ) ;"], ["table_5", "( in thousands ) the impact on net income of year ended december 31 , 2006 is $ -3680 ( 3680 ) ; the impact on net income of year ended december 31 , 2005 is $ -1016 ( 1016 ) ; the impact on net income of year ended december 31 , 2004 is $ -403 ( 403 ) ;"]]}, "answers": ["613"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000876", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock between 2004 and 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "613.", "rejected": "2664.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock <TIME>?", "doc_prefix": "PKG", "base_question": "what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock <TIME>?", "original_question": "what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock between 2004 and 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"613": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "2664": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}]}, "chosen_source": {"id": "PKG/2006/page_65.pdf-2", "qa": {"question": "what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock between 2004 and 2005?", "answer": "613", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1016", "arg2": "403", "res": "613"}], "program": "subtract(1016, 403)", "gold_inds": {"table_5": "( in thousands ) the impact on net income of year ended december 31 , 2006 is $ -3680 ( 3680 ) ; the impact on net income of year ended december 31 , 2005 is $ -1016 ( 1016 ) ; the impact on net income of year ended december 31 , 2004 is $ -403 ( 403 ) ;"}, "exe_ans": 613.0, "tfidftopn": {"text_13": "compensation expense for stock options and restricted stock recognized in the statements of income for the year ended december 31 , 2006 , 2005 and 2004 was as follows : year ended december 31 , ( in thousands ) 2006 2005 2004 .", "text_12": "all stock-based compensation expense not recognized as of december 31 , 2005 and compensation expense related to post 2005 grants of stock options and amortization of restricted stock will be recorded directly to additional paid in capital ."}, "program_re": "subtract(1016, 403)", "model_input": [["table_1", "( in thousands ) the stock options of year ended december 31 , 2006 is $ -3273 ( 3273 ) ; the stock options of year ended december 31 , 2005 is $ 2014 ; the stock options of year ended december 31 , 2004 is $ 2014 ;"], ["table_2", "( in thousands ) the restricted stock of year ended december 31 , 2006 is -2789 ( 2789 ) ; the restricted stock of year ended december 31 , 2005 is -1677 ( 1677 ) ; the restricted stock of year ended december 31 , 2004 is -663 ( 663 ) ;"], ["table_5", "( in thousands ) the impact on net income of year ended december 31 , 2006 is $ -3680 ( 3680 ) ; the impact on net income of year ended december 31 , 2005 is $ -1016 ( 1016 ) ; the impact on net income of year ended december 31 , 2004 is $ -403 ( 403 ) ;"]]}, "answers": ["613"]}, "rejected_source": {"id": "PKG/2006/page_65.pdf-3", "qa": {"question": "what was the difference in thousands in impact on net income due to compensation expense for stock options and restricted stock between 2005 and 2006?", "answer": "2664", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3680", "arg2": "1016", "res": "2664"}], "program": "subtract(3680, 1016)", "gold_inds": {"table_5": "( in thousands ) the impact on net income of year ended december 31 , 2006 is $ -3680 ( 3680 ) ; the impact on net income of year ended december 31 , 2005 is $ -1016 ( 1016 ) ; the impact on net income of year ended december 31 , 2004 is $ -403 ( 403 ) ;"}, "exe_ans": 2664.0, "tfidftopn": {"text_13": "compensation expense for stock options and restricted stock recognized in the statements of income for the year ended december 31 , 2006 , 2005 and 2004 was as follows : year ended december 31 , ( in thousands ) 2006 2005 2004 .", "text_12": "all stock-based compensation expense not recognized as of december 31 , 2005 and compensation expense related to post 2005 grants of stock options and amortization of restricted stock will be recorded directly to additional paid in capital ."}, "program_re": "subtract(3680, 1016)", "model_input": [["table_1", "( in thousands ) the stock options of year ended december 31 , 2006 is $ -3273 ( 3273 ) ; the stock options of year ended december 31 , 2005 is $ 2014 ; the stock options of year ended december 31 , 2004 is $ 2014 ;"], ["table_2", "( in thousands ) the restricted stock of year ended december 31 , 2006 is -2789 ( 2789 ) ; the restricted stock of year ended december 31 , 2005 is -1677 ( 1677 ) ; the restricted stock of year ended december 31 , 2004 is -663 ( 663 ) ;"], ["table_5", "( in thousands ) the impact on net income of year ended december 31 , 2006 is $ -3680 ( 3680 ) ; the impact on net income of year ended december 31 , 2005 is $ -1016 ( 1016 ) ; the impact on net income of year ended december 31 , 2004 is $ -403 ( 403 ) ;"]]}, "answers": ["2664"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000877", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total consolidate revenue was the psg segment in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "41%.", "rejected": "42%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what percent of total consolidate revenue was the psg segment <TIME>?", "doc_prefix": "FIS", "base_question": "what percent of total consolidate revenue was the psg segment <TIME>?", "original_question": "what percent of total consolidate revenue was the psg segment in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"42%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "41%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "FIS/2012/page_11.pdf-2", "qa": {"question": "what percent of total consolidate revenue was the psg segment in 2012?", "answer": "41%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "2380.6", "arg2": "5807.6", "res": "41%"}], "program": "divide(2380.6, 5807.6)", "gold_inds": {"table_2": "the psg of 2012 is 2380.6 ; the psg of 2011 is 2372.1 ; the psg of 2010 is 2354.2 ;", "table_5": "the total consolidated revenues of 2012 is $ 5807.6 ; the total consolidated revenues of 2011 is $ 5625.6 ; the total consolidated revenues of 2010 is $ 5145.6 ;"}, "exe_ans": 0.40991, "tfidftopn": {"text_20": "our solutions in this segment include: ."}, "program_re": "divide(2380.6, 5807.6)", "model_input": [["text_11", "revenues by segment the table below summarizes the revenues by our reporting segments ( in millions ) : ."], ["table_2", "the psg of 2012 is 2380.6 ; the psg of 2011 is 2372.1 ; the psg of 2010 is 2354.2 ;"], ["table_5", "the total consolidated revenues of 2012 is $ 5807.6 ; the total consolidated revenues of 2011 is $ 5625.6 ; the total consolidated revenues of 2010 is $ 5145.6 ;"]]}, "answers": ["41%"]}, "rejected_source": {"id": "FIS/2012/page_11.pdf-3", "qa": {"question": "what percent of total consolidate revenue was the psg segment in 2011?", "answer": "42%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2372.1", "arg2": "5625.6", "res": "42%"}], "program": "divide(2372.1, 5625.6)", "gold_inds": {"table_2": "the psg of 2012 is 2380.6 ; the psg of 2011 is 2372.1 ; the psg of 2010 is 2354.2 ;", "table_5": "the total consolidated revenues of 2012 is $ 5807.6 ; the total consolidated revenues of 2011 is $ 5625.6 ; the total consolidated revenues of 2010 is $ 5145.6 ;"}, "exe_ans": 0.42166, "tfidftopn": {"text_20": "our solutions in this segment include: ."}, "program_re": "divide(2372.1, 5625.6)", "model_input": [["text_11", "revenues by segment the table below summarizes the revenues by our reporting segments ( in millions ) : ."], ["table_2", "the psg of 2012 is 2380.6 ; the psg of 2011 is 2372.1 ; the psg of 2010 is 2354.2 ;"], ["table_5", "the total consolidated revenues of 2012 is $ 5807.6 ; the total consolidated revenues of 2011 is $ 5625.6 ; the total consolidated revenues of 2010 is $ 5145.6 ;"]]}, "answers": ["42%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000878", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total consolidate revenue was the psg segment in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "42%.", "rejected": "41%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what percent of total consolidate revenue was the psg segment <TIME>?", "doc_prefix": "FIS", "base_question": "what percent of total consolidate revenue was the psg segment <TIME>?", "original_question": "what percent of total consolidate revenue was the psg segment in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"42%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "41%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "FIS/2012/page_11.pdf-3", "qa": {"question": "what percent of total consolidate revenue was the psg segment in 2011?", "answer": "42%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2372.1", "arg2": "5625.6", "res": "42%"}], "program": "divide(2372.1, 5625.6)", "gold_inds": {"table_2": "the psg of 2012 is 2380.6 ; the psg of 2011 is 2372.1 ; the psg of 2010 is 2354.2 ;", "table_5": "the total consolidated revenues of 2012 is $ 5807.6 ; the total consolidated revenues of 2011 is $ 5625.6 ; the total consolidated revenues of 2010 is $ 5145.6 ;"}, "exe_ans": 0.42166, "tfidftopn": {"text_20": "our solutions in this segment include: ."}, "program_re": "divide(2372.1, 5625.6)", "model_input": [["text_11", "revenues by segment the table below summarizes the revenues by our reporting segments ( in millions ) : ."], ["table_2", "the psg of 2012 is 2380.6 ; the psg of 2011 is 2372.1 ; the psg of 2010 is 2354.2 ;"], ["table_5", "the total consolidated revenues of 2012 is $ 5807.6 ; the total consolidated revenues of 2011 is $ 5625.6 ; the total consolidated revenues of 2010 is $ 5145.6 ;"]]}, "answers": ["42%"]}, "rejected_source": {"id": "FIS/2012/page_11.pdf-2", "qa": {"question": "what percent of total consolidate revenue was the psg segment in 2012?", "answer": "41%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "2380.6", "arg2": "5807.6", "res": "41%"}], "program": "divide(2380.6, 5807.6)", "gold_inds": {"table_2": "the psg of 2012 is 2380.6 ; the psg of 2011 is 2372.1 ; the psg of 2010 is 2354.2 ;", "table_5": "the total consolidated revenues of 2012 is $ 5807.6 ; the total consolidated revenues of 2011 is $ 5625.6 ; the total consolidated revenues of 2010 is $ 5145.6 ;"}, "exe_ans": 0.40991, "tfidftopn": {"text_20": "our solutions in this segment include: ."}, "program_re": "divide(2380.6, 5807.6)", "model_input": [["text_11", "revenues by segment the table below summarizes the revenues by our reporting segments ( in millions ) : ."], ["table_2", "the psg of 2012 is 2380.6 ; the psg of 2011 is 2372.1 ; the psg of 2010 is 2354.2 ;"], ["table_5", "the total consolidated revenues of 2012 is $ 5807.6 ; the total consolidated revenues of 2011 is $ 5625.6 ; the total consolidated revenues of 2010 is $ 5145.6 ;"]]}, "answers": ["41%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000879", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "58%.", "rejected": "60%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment <TIME>?", "doc_prefix": "IP", "base_question": "what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment <TIME>?", "original_question": "what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"60%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "58%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "IP/2012/page_58.pdf-1", "qa": {"question": "what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment in 2012?", "answer": "58%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [40], "steps": [{"op": "multiply1-1", "arg1": "3.5", "arg2": "const_1000", "res": "3500"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6040", "res": "58%"}], "program": "multiply(3.5, const_1000), divide(#0, 6040)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 6040 ; the sales of 2011 is $ 6630 ; the sales of 2010 is $ 6735 ;", "text_40": "annual sales of printing papers and graphic arts supplies and equipment totaled $ 3.5 billion in 2012 compared with $ 4.0 billion in 2011 and $ 4.2 billion in 2010 , reflecting declining demand and the exiting of unprofitable businesses ."}, "exe_ans": 0.57947, "tfidftopn": {"text_41": "trade margins as a percent of sales for printing papers were relatively even with both 2011 and 2010 ."}, "program_re": "divide(multiply(3.5, const_1000), 6040)", "model_input": [["text_37", "distribution ."], ["table_1", "in millions the sales of 2012 is $ 6040 ; the sales of 2011 is $ 6630 ; the sales of 2010 is $ 6735 ;"], ["text_40", "annual sales of printing papers and graphic arts supplies and equipment totaled $ 3.5 billion in 2012 compared with $ 4.0 billion in 2011 and $ 4.2 billion in 2010 , reflecting declining demand and the exiting of unprofitable businesses ."]]}, "answers": ["58%"]}, "rejected_source": {"id": "IP/2012/page_58.pdf-2", "qa": {"question": "what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment in 2011?", "answer": "60%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [40], "steps": [{"op": "multiply2-1", "arg1": "const_4", "arg2": "const_1000", "res": "4000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6630", "res": "60%"}], "program": "multiply(const_4, const_1000), divide(#0, 6630)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 6040 ; the sales of 2011 is $ 6630 ; the sales of 2010 is $ 6735 ;", "text_40": "annual sales of printing papers and graphic arts supplies and equipment totaled $ 3.5 billion in 2012 compared with $ 4.0 billion in 2011 and $ 4.2 billion in 2010 , reflecting declining demand and the exiting of unprofitable businesses ."}, "exe_ans": 0.60332, "tfidftopn": {"text_41": "trade margins as a percent of sales for printing papers were relatively even with both 2011 and 2010 ."}, "program_re": "divide(multiply(const_4, const_1000), 6630)", "model_input": [["text_37", "distribution ."], ["table_1", "in millions the sales of 2012 is $ 6040 ; the sales of 2011 is $ 6630 ; the sales of 2010 is $ 6735 ;"], ["text_40", "annual sales of printing papers and graphic arts supplies and equipment totaled $ 3.5 billion in 2012 compared with $ 4.0 billion in 2011 and $ 4.2 billion in 2010 , reflecting declining demand and the exiting of unprofitable businesses ."]]}, "answers": ["60%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000880", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "60%.", "rejected": "58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment <TIME>?", "doc_prefix": "IP", "base_question": "what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment <TIME>?", "original_question": "what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"60%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "58%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "IP/2012/page_58.pdf-2", "qa": {"question": "what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment in 2011?", "answer": "60%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [40], "steps": [{"op": "multiply2-1", "arg1": "const_4", "arg2": "const_1000", "res": "4000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6630", "res": "60%"}], "program": "multiply(const_4, const_1000), divide(#0, 6630)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 6040 ; the sales of 2011 is $ 6630 ; the sales of 2010 is $ 6735 ;", "text_40": "annual sales of printing papers and graphic arts supplies and equipment totaled $ 3.5 billion in 2012 compared with $ 4.0 billion in 2011 and $ 4.2 billion in 2010 , reflecting declining demand and the exiting of unprofitable businesses ."}, "exe_ans": 0.60332, "tfidftopn": {"text_41": "trade margins as a percent of sales for printing papers were relatively even with both 2011 and 2010 ."}, "program_re": "divide(multiply(const_4, const_1000), 6630)", "model_input": [["text_37", "distribution ."], ["table_1", "in millions the sales of 2012 is $ 6040 ; the sales of 2011 is $ 6630 ; the sales of 2010 is $ 6735 ;"], ["text_40", "annual sales of printing papers and graphic arts supplies and equipment totaled $ 3.5 billion in 2012 compared with $ 4.0 billion in 2011 and $ 4.2 billion in 2010 , reflecting declining demand and the exiting of unprofitable businesses ."]]}, "answers": ["60%"]}, "rejected_source": {"id": "IP/2012/page_58.pdf-1", "qa": {"question": "what percent of distribution sales where attributable to printing papers and graphic arts supplies and equipment in 2012?", "answer": "58%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [40], "steps": [{"op": "multiply1-1", "arg1": "3.5", "arg2": "const_1000", "res": "3500"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6040", "res": "58%"}], "program": "multiply(3.5, const_1000), divide(#0, 6040)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 6040 ; the sales of 2011 is $ 6630 ; the sales of 2010 is $ 6735 ;", "text_40": "annual sales of printing papers and graphic arts supplies and equipment totaled $ 3.5 billion in 2012 compared with $ 4.0 billion in 2011 and $ 4.2 billion in 2010 , reflecting declining demand and the exiting of unprofitable businesses ."}, "exe_ans": 0.57947, "tfidftopn": {"text_41": "trade margins as a percent of sales for printing papers were relatively even with both 2011 and 2010 ."}, "program_re": "divide(multiply(3.5, const_1000), 6040)", "model_input": [["text_37", "distribution ."], ["table_1", "in millions the sales of 2012 is $ 6040 ; the sales of 2011 is $ 6630 ; the sales of 2010 is $ 6735 ;"], ["text_40", "annual sales of printing papers and graphic arts supplies and equipment totaled $ 3.5 billion in 2012 compared with $ 4.0 billion in 2011 and $ 4.2 billion in 2010 , reflecting declining demand and the exiting of unprofitable businesses ."]]}, "answers": ["58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000881", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent increase in net cash provided by operating activities from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "80.67%.", "rejected": "9.93%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IQV || what is the percent increase in net cash provided by operating activities <TIME>?", "doc_prefix": "IQV", "base_question": "what is the percent increase in net cash provided by operating activities <TIME>?", "original_question": "what is the percent increase in net cash provided by operating activities from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.93%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "80.67%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "IQV/2016/page_79.pdf-1", "qa": {"question": "what is the percent increase in net cash provided by operating activities from 2015 to 2016?", "answer": "80.67%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [6], "steps": [{"op": "divide1-1", "arg1": "384", "arg2": "476", "res": "80.67%"}], "program": "divide(384, 476)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of year ended december 31 , 2016 is $ 860 ; the net cash provided by operating activities of year ended december 31 , 2015 is $ 476 ; the net cash provided by operating activities of year ended december 31 , 2014 is $ 433 ;", "text_6": "we used the proceeds from the term loan under the receivables financing facility to repay in full the amount outstanding on the then outstanding revolving credit facility under its then outstanding senior secured credit agreement ( $ 150 million ) , to repay $ 25 million of the then outstanding term loan b-3 , to pay related fees and expenses and the remainder was used for general working capital purposes .", "text_13": "2016 compared to 2015 cash provided by operating activities increased $ 384 million in 2016 as compared to 2015 ."}, "exe_ans": 0.80672, "tfidftopn": {}, "program_re": "divide(384, 476)", "model_input": [["text_6", "we used the proceeds from the term loan under the receivables financing facility to repay in full the amount outstanding on the then outstanding revolving credit facility under its then outstanding senior secured credit agreement ( $ 150 million ) , to repay $ 25 million of the then outstanding term loan b-3 , to pay related fees and expenses and the remainder was used for general working capital purposes ."], ["table_1", "( in millions ) the net cash provided by operating activities of year ended december 31 , 2016 is $ 860 ; the net cash provided by operating activities of year ended december 31 , 2015 is $ 476 ; the net cash provided by operating activities of year ended december 31 , 2014 is $ 433 ;"], ["text_13", "2016 compared to 2015 cash provided by operating activities increased $ 384 million in 2016 as compared to 2015 ."]]}, "answers": ["80.67%"]}, "rejected_source": {"id": "IQV/2016/page_79.pdf-2", "qa": {"question": "what is the percent increase in net cash provided by operating activities from 2014 to 2015?", "answer": "9.93%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "476", "arg2": "433", "res": "43"}, {"op": "divide2-2", "arg1": "#0", "arg2": "433", "res": "9.93%"}], "program": "subtract(476, 433), divide(#0, 433)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of year ended december 31 , 2016 is $ 860 ; the net cash provided by operating activities of year ended december 31 , 2015 is $ 476 ; the net cash provided by operating activities of year ended december 31 , 2014 is $ 433 ;"}, "exe_ans": 0.09931, "tfidftopn": {"text_14": "the increase in cash provided by operating activities reflects the increase in net income as adjusted for non-cash items necessary to reconcile net income to cash provided by operating activities .", "text_12": "years ended december 31 , 2016 , 2015 and 2014 cash flow from operating activities ."}, "program_re": "divide(subtract(476, 433), 433)", "model_input": [["text_12", "years ended december 31 , 2016 , 2015 and 2014 cash flow from operating activities ."], ["table_1", "( in millions ) the net cash provided by operating activities of year ended december 31 , 2016 is $ 860 ; the net cash provided by operating activities of year ended december 31 , 2015 is $ 476 ; the net cash provided by operating activities of year ended december 31 , 2014 is $ 433 ;"], ["text_13", "2016 compared to 2015 cash provided by operating activities increased $ 384 million in 2016 as compared to 2015 ."]]}, "answers": ["9.93%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000882", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent increase in net cash provided by operating activities from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "9.93%.", "rejected": "80.67%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IQV || what is the percent increase in net cash provided by operating activities <TIME>?", "doc_prefix": "IQV", "base_question": "what is the percent increase in net cash provided by operating activities <TIME>?", "original_question": "what is the percent increase in net cash provided by operating activities from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.93%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "80.67%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "IQV/2016/page_79.pdf-2", "qa": {"question": "what is the percent increase in net cash provided by operating activities from 2014 to 2015?", "answer": "9.93%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "476", "arg2": "433", "res": "43"}, {"op": "divide2-2", "arg1": "#0", "arg2": "433", "res": "9.93%"}], "program": "subtract(476, 433), divide(#0, 433)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of year ended december 31 , 2016 is $ 860 ; the net cash provided by operating activities of year ended december 31 , 2015 is $ 476 ; the net cash provided by operating activities of year ended december 31 , 2014 is $ 433 ;"}, "exe_ans": 0.09931, "tfidftopn": {"text_14": "the increase in cash provided by operating activities reflects the increase in net income as adjusted for non-cash items necessary to reconcile net income to cash provided by operating activities .", "text_12": "years ended december 31 , 2016 , 2015 and 2014 cash flow from operating activities ."}, "program_re": "divide(subtract(476, 433), 433)", "model_input": [["text_12", "years ended december 31 , 2016 , 2015 and 2014 cash flow from operating activities ."], ["table_1", "( in millions ) the net cash provided by operating activities of year ended december 31 , 2016 is $ 860 ; the net cash provided by operating activities of year ended december 31 , 2015 is $ 476 ; the net cash provided by operating activities of year ended december 31 , 2014 is $ 433 ;"], ["text_13", "2016 compared to 2015 cash provided by operating activities increased $ 384 million in 2016 as compared to 2015 ."]]}, "answers": ["9.93%"]}, "rejected_source": {"id": "IQV/2016/page_79.pdf-1", "qa": {"question": "what is the percent increase in net cash provided by operating activities from 2015 to 2016?", "answer": "80.67%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [6], "steps": [{"op": "divide1-1", "arg1": "384", "arg2": "476", "res": "80.67%"}], "program": "divide(384, 476)", "gold_inds": {"table_1": "( in millions ) the net cash provided by operating activities of year ended december 31 , 2016 is $ 860 ; the net cash provided by operating activities of year ended december 31 , 2015 is $ 476 ; the net cash provided by operating activities of year ended december 31 , 2014 is $ 433 ;", "text_6": "we used the proceeds from the term loan under the receivables financing facility to repay in full the amount outstanding on the then outstanding revolving credit facility under its then outstanding senior secured credit agreement ( $ 150 million ) , to repay $ 25 million of the then outstanding term loan b-3 , to pay related fees and expenses and the remainder was used for general working capital purposes .", "text_13": "2016 compared to 2015 cash provided by operating activities increased $ 384 million in 2016 as compared to 2015 ."}, "exe_ans": 0.80672, "tfidftopn": {}, "program_re": "divide(384, 476)", "model_input": [["text_6", "we used the proceeds from the term loan under the receivables financing facility to repay in full the amount outstanding on the then outstanding revolving credit facility under its then outstanding senior secured credit agreement ( $ 150 million ) , to repay $ 25 million of the then outstanding term loan b-3 , to pay related fees and expenses and the remainder was used for general working capital purposes ."], ["table_1", "( in millions ) the net cash provided by operating activities of year ended december 31 , 2016 is $ 860 ; the net cash provided by operating activities of year ended december 31 , 2015 is $ 476 ; the net cash provided by operating activities of year ended december 31 , 2014 is $ 433 ;"], ["text_13", "2016 compared to 2015 cash provided by operating activities increased $ 384 million in 2016 as compared to 2015 ."]]}, "answers": ["80.67%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000883", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum rental payments is due after 2019?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "40%.", "rejected": "43%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of future minimum rental payments is due after <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of future minimum rental payments is due after <TIME>?", "original_question": "what percentage of future minimum rental payments is due after 2019?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"43%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "40%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}]}, "chosen_source": {"id": "GS/2014/page_167.pdf-1", "qa": {"question": "what percentage of future minimum rental payments is due after 2019?", "answer": "40%", "explanation": "", "ann_table_rows": [6, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "870", "arg2": "2173", "res": "40%"}], "program": "divide(870, 2173)", "gold_inds": {"table_6": "$ in millions the 2020 - thereafter of as of december 2014 is 870 ;", "table_7": "$ in millions the total of as of december 2014 is $ 2173 ;"}, "exe_ans": 0.40037, "tfidftopn": {"text_19": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(870, 2173)", "model_input": [["table_5", "$ in millions the 2019 of as of december 2014 is 190 ;"], ["table_6", "$ in millions the 2020 - thereafter of as of december 2014 is 870 ;"], ["table_7", "$ in millions the total of as of december 2014 is $ 2173 ;"]]}, "answers": ["40%"]}, "rejected_source": {"id": "GS/2012/page_177.pdf-4", "qa": {"question": "what percentage of future minimum rental payments is due after 2017?", "answer": "43%", "explanation": "", "ann_table_rows": [6, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1375", "arg2": "3189", "res": "43%"}], "program": "divide(1375, 3189)", "gold_inds": {"table_6": "in millions the 2018 - thereafter of as of december 2012 is 1375 ;", "table_7": "in millions the total of as of december 2012 is $ 3189 ;"}, "exe_ans": 0.43117, "tfidftopn": {"text_18": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(1375, 3189)", "model_input": [["table_5", "in millions the 2017 of as of december 2012 is 306 ;"], ["table_6", "in millions the 2018 - thereafter of as of december 2012 is 1375 ;"], ["table_7", "in millions the total of as of december 2012 is $ 3189 ;"]]}, "answers": ["43%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000884", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum rental payments is due after 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "43%.", "rejected": "40%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of future minimum rental payments is due after <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of future minimum rental payments is due after <TIME>?", "original_question": "what percentage of future minimum rental payments is due after 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"43%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "40%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}]}, "chosen_source": {"id": "GS/2012/page_177.pdf-4", "qa": {"question": "what percentage of future minimum rental payments is due after 2017?", "answer": "43%", "explanation": "", "ann_table_rows": [6, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1375", "arg2": "3189", "res": "43%"}], "program": "divide(1375, 3189)", "gold_inds": {"table_6": "in millions the 2018 - thereafter of as of december 2012 is 1375 ;", "table_7": "in millions the total of as of december 2012 is $ 3189 ;"}, "exe_ans": 0.43117, "tfidftopn": {"text_18": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(1375, 3189)", "model_input": [["table_5", "in millions the 2017 of as of december 2012 is 306 ;"], ["table_6", "in millions the 2018 - thereafter of as of december 2012 is 1375 ;"], ["table_7", "in millions the total of as of december 2012 is $ 3189 ;"]]}, "answers": ["43%"]}, "rejected_source": {"id": "GS/2014/page_167.pdf-1", "qa": {"question": "what percentage of future minimum rental payments is due after 2019?", "answer": "40%", "explanation": "", "ann_table_rows": [6, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "870", "arg2": "2173", "res": "40%"}], "program": "divide(870, 2173)", "gold_inds": {"table_6": "$ in millions the 2020 - thereafter of as of december 2014 is 870 ;", "table_7": "$ in millions the total of as of december 2014 is $ 2173 ;"}, "exe_ans": 0.40037, "tfidftopn": {"text_19": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(870, 2173)", "model_input": [["table_5", "$ in millions the 2019 of as of december 2014 is 190 ;"], ["table_6", "$ in millions the 2020 - thereafter of as of december 2014 is 870 ;"], ["table_7", "$ in millions the total of as of december 2014 is $ 2173 ;"]]}, "answers": ["40%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000885", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in millions of amortization expense between 2015 and 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-.9.", "rejected": "5.4.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what was the difference in millions of amortization expense <TIME>?", "doc_prefix": "UAA", "base_question": "what was the difference in millions of amortization expense <TIME>?", "original_question": "what was the difference in millions of amortization expense between 2015 and 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.4": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}], "-.9": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016"}]}, "chosen_source": {"id": "UAA/2016/page_80.pdf-1", "qa": {"question": "what was the difference in millions of amortization expense between 2015 and 2016?", "answer": "-.9", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "13.0", "arg2": "13.9", "res": "-.9"}], "program": "subtract(13.0, 13.9)", "gold_inds": {"text_0": "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "exe_ans": -0.9, "tfidftopn": {"text_1": "the following is the estimated amortization expense for the company 2019s intangible assets as of december 31 , 2016 : ( in thousands ) .", "table_6": "2017 The amortization expense of intangible assets of $ 10509 is $ 58370 ;"}, "program_re": "subtract(13.0, 13.9)", "model_input": [["text_0", "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_1", "the following is the estimated amortization expense for the company 2019s intangible assets as of december 31 , 2016 : ( in thousands ) ."], ["table_6", "2017 the amortization expense of intangible assets of $ 10509 is $ 58370 ;"]]}, "answers": ["-.9"]}, "rejected_source": {"id": "UAA/2016/page_80.pdf-2", "qa": {"question": "what was the difference in millions of amortization expense between 2014 and 2015?", "answer": "5.4", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus2-1", "arg1": "13.9", "arg2": "8.5", "res": "5.4"}], "program": "subtract(13.9, 8.5)", "gold_inds": {"text_0": "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "exe_ans": 5.4, "tfidftopn": {"table_6": "2017 The amortization expense of intangible assets of $ 10509 is $ 58370 ;", "text_2": "at december 31 , 2016 , 2015 and 2014 , the company determined that its goodwill and indefinite- lived intangible assets were not impaired ."}, "program_re": "subtract(13.9, 8.5)", "model_input": [["text_0", "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_1", "the following is the estimated amortization expense for the company 2019s intangible assets as of december 31 , 2016 : ( in thousands ) ."], ["table_6", "2017 the amortization expense of intangible assets of $ 10509 is $ 58370 ;"]]}, "answers": ["5.4"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000886", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in millions of amortization expense between 2014 and 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "5.4.", "rejected": "-.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what was the difference in millions of amortization expense <TIME>?", "doc_prefix": "UAA", "base_question": "what was the difference in millions of amortization expense <TIME>?", "original_question": "what was the difference in millions of amortization expense between 2014 and 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5.4": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}], "-.9": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016"}]}, "chosen_source": {"id": "UAA/2016/page_80.pdf-2", "qa": {"question": "what was the difference in millions of amortization expense between 2014 and 2015?", "answer": "5.4", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus2-1", "arg1": "13.9", "arg2": "8.5", "res": "5.4"}], "program": "subtract(13.9, 8.5)", "gold_inds": {"text_0": "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "exe_ans": 5.4, "tfidftopn": {"table_6": "2017 The amortization expense of intangible assets of $ 10509 is $ 58370 ;", "text_2": "at december 31 , 2016 , 2015 and 2014 , the company determined that its goodwill and indefinite- lived intangible assets were not impaired ."}, "program_re": "subtract(13.9, 8.5)", "model_input": [["text_0", "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_1", "the following is the estimated amortization expense for the company 2019s intangible assets as of december 31 , 2016 : ( in thousands ) ."], ["table_6", "2017 the amortization expense of intangible assets of $ 10509 is $ 58370 ;"]]}, "answers": ["5.4"]}, "rejected_source": {"id": "UAA/2016/page_80.pdf-1", "qa": {"question": "what was the difference in millions of amortization expense between 2015 and 2016?", "answer": "-.9", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "13.0", "arg2": "13.9", "res": "-.9"}], "program": "subtract(13.0, 13.9)", "gold_inds": {"text_0": "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."}, "exe_ans": -0.9, "tfidftopn": {"text_1": "the following is the estimated amortization expense for the company 2019s intangible assets as of december 31 , 2016 : ( in thousands ) .", "table_6": "2017 The amortization expense of intangible assets of $ 10509 is $ 58370 ;"}, "program_re": "subtract(13.0, 13.9)", "model_input": [["text_0", "amortization expense , which is included in selling , general and administrative expenses , was $ 13.0 million , $ 13.9 million and $ 8.5 million for the years ended december 31 , 2016 , 2015 and 2014 , respectively ."], ["text_1", "the following is the estimated amortization expense for the company 2019s intangible assets as of december 31 , 2016 : ( in thousands ) ."], ["table_6", "2017 the amortization expense of intangible assets of $ 10509 is $ 58370 ;"]]}, "answers": ["-.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000887", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in net periodic pension expense between 2004 and 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "119%.", "rejected": "55%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what is the percentage change in net periodic pension expense <TIME>?", "doc_prefix": "IP", "base_question": "what is the percentage change in net periodic pension expense <TIME>?", "original_question": "what is the percentage change in net periodic pension expense between 2004 and 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"119%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "55%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}]}, "chosen_source": {"id": "IP/2006/page_84.pdf-1", "qa": {"question": "what is the percentage change in net periodic pension expense between 2004 and 2005?", "answer": "119%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "243", "arg2": "111", "res": "132"}, {"op": "divide1-2", "arg1": "#0", "arg2": "111", "res": "119%"}], "program": "subtract(243, 111), divide(#0, 111)", "gold_inds": {"table_6": "in millions the net periodic pension expense ( a ) of 2006 is $ 377 ; the net periodic pension expense ( a ) of 2005 is $ 243 ; the net periodic pension expense ( a ) of 2004 is $ 111 ;"}, "exe_ans": 1.18919, "tfidftopn": {"text_20": "net periodic pension expense for qualified and nonqualified u.s .", "text_17": "net periodic pension expense service cost is the actuarial present value of benefits attributed by the plans 2019 benefit formula to services rendered by employees during the year ."}, "program_re": "divide(subtract(243, 111), 111)", "model_input": [["table_6", "in millions the net periodic pension expense ( a ) of 2006 is $ 377 ; the net periodic pension expense ( a ) of 2005 is $ 243 ; the net periodic pension expense ( a ) of 2004 is $ 111 ;"], ["text_22", "( a ) excludes $ 9.1 million , $ 6.5 million and $ 3.4 million in 2006 , 2005 and 2004 , respectively , in curtailment losses , and $ 8.7 million , $ 3.6 million and $ 1.4 million in 2006 , 2005 and 2004 , respectively , of termination benefits , in connection with cost reduction programs and facility rationalizations that were recorded in restructuring and other charges in the con- solidated statement of operations ."], ["text_23", "also excludes $ 77.2 million and $ 14.3 million in 2006 and 2005 , respectively , in curtailment losses , and $ 18.6 million and $ 7.6 million of termination bene- fits in 2006 and 2005 , respectively , related to certain divest- itures recorded in net losses on sales and impairments of businesses held for sale in the consolidated statement of oper- ations. ."]]}, "answers": ["119%"]}, "rejected_source": {"id": "IP/2006/page_84.pdf-2", "qa": {"question": "what is the percentage change in net periodic pension expense between 2005 and 2006?", "answer": "55%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "377", "arg2": "243", "res": "134"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243", "res": "55%"}], "program": "subtract(377, 243), divide(#0, 243)", "gold_inds": {"table_6": "in millions the net periodic pension expense ( a ) of 2006 is $ 377 ; the net periodic pension expense ( a ) of 2005 is $ 243 ; the net periodic pension expense ( a ) of 2004 is $ 111 ;"}, "exe_ans": 0.55144, "tfidftopn": {"text_20": "net periodic pension expense for qualified and nonqualified u.s .", "text_17": "net periodic pension expense service cost is the actuarial present value of benefits attributed by the plans 2019 benefit formula to services rendered by employees during the year ."}, "program_re": "divide(subtract(377, 243), 243)", "model_input": [["table_6", "in millions the net periodic pension expense ( a ) of 2006 is $ 377 ; the net periodic pension expense ( a ) of 2005 is $ 243 ; the net periodic pension expense ( a ) of 2004 is $ 111 ;"], ["text_22", "( a ) excludes $ 9.1 million , $ 6.5 million and $ 3.4 million in 2006 , 2005 and 2004 , respectively , in curtailment losses , and $ 8.7 million , $ 3.6 million and $ 1.4 million in 2006 , 2005 and 2004 , respectively , of termination benefits , in connection with cost reduction programs and facility rationalizations that were recorded in restructuring and other charges in the con- solidated statement of operations ."], ["text_23", "also excludes $ 77.2 million and $ 14.3 million in 2006 and 2005 , respectively , in curtailment losses , and $ 18.6 million and $ 7.6 million of termination bene- fits in 2006 and 2005 , respectively , related to certain divest- itures recorded in net losses on sales and impairments of businesses held for sale in the consolidated statement of oper- ations. ."]]}, "answers": ["55%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000888", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in net periodic pension expense between 2005 and 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "55%.", "rejected": "119%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what is the percentage change in net periodic pension expense <TIME>?", "doc_prefix": "IP", "base_question": "what is the percentage change in net periodic pension expense <TIME>?", "original_question": "what is the percentage change in net periodic pension expense between 2005 and 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"119%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "55%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}]}, "chosen_source": {"id": "IP/2006/page_84.pdf-2", "qa": {"question": "what is the percentage change in net periodic pension expense between 2005 and 2006?", "answer": "55%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "377", "arg2": "243", "res": "134"}, {"op": "divide2-2", "arg1": "#0", "arg2": "243", "res": "55%"}], "program": "subtract(377, 243), divide(#0, 243)", "gold_inds": {"table_6": "in millions the net periodic pension expense ( a ) of 2006 is $ 377 ; the net periodic pension expense ( a ) of 2005 is $ 243 ; the net periodic pension expense ( a ) of 2004 is $ 111 ;"}, "exe_ans": 0.55144, "tfidftopn": {"text_20": "net periodic pension expense for qualified and nonqualified u.s .", "text_17": "net periodic pension expense service cost is the actuarial present value of benefits attributed by the plans 2019 benefit formula to services rendered by employees during the year ."}, "program_re": "divide(subtract(377, 243), 243)", "model_input": [["table_6", "in millions the net periodic pension expense ( a ) of 2006 is $ 377 ; the net periodic pension expense ( a ) of 2005 is $ 243 ; the net periodic pension expense ( a ) of 2004 is $ 111 ;"], ["text_22", "( a ) excludes $ 9.1 million , $ 6.5 million and $ 3.4 million in 2006 , 2005 and 2004 , respectively , in curtailment losses , and $ 8.7 million , $ 3.6 million and $ 1.4 million in 2006 , 2005 and 2004 , respectively , of termination benefits , in connection with cost reduction programs and facility rationalizations that were recorded in restructuring and other charges in the con- solidated statement of operations ."], ["text_23", "also excludes $ 77.2 million and $ 14.3 million in 2006 and 2005 , respectively , in curtailment losses , and $ 18.6 million and $ 7.6 million of termination bene- fits in 2006 and 2005 , respectively , related to certain divest- itures recorded in net losses on sales and impairments of businesses held for sale in the consolidated statement of oper- ations. ."]]}, "answers": ["55%"]}, "rejected_source": {"id": "IP/2006/page_84.pdf-1", "qa": {"question": "what is the percentage change in net periodic pension expense between 2004 and 2005?", "answer": "119%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "243", "arg2": "111", "res": "132"}, {"op": "divide1-2", "arg1": "#0", "arg2": "111", "res": "119%"}], "program": "subtract(243, 111), divide(#0, 111)", "gold_inds": {"table_6": "in millions the net periodic pension expense ( a ) of 2006 is $ 377 ; the net periodic pension expense ( a ) of 2005 is $ 243 ; the net periodic pension expense ( a ) of 2004 is $ 111 ;"}, "exe_ans": 1.18919, "tfidftopn": {"text_20": "net periodic pension expense for qualified and nonqualified u.s .", "text_17": "net periodic pension expense service cost is the actuarial present value of benefits attributed by the plans 2019 benefit formula to services rendered by employees during the year ."}, "program_re": "divide(subtract(243, 111), 111)", "model_input": [["table_6", "in millions the net periodic pension expense ( a ) of 2006 is $ 377 ; the net periodic pension expense ( a ) of 2005 is $ 243 ; the net periodic pension expense ( a ) of 2004 is $ 111 ;"], ["text_22", "( a ) excludes $ 9.1 million , $ 6.5 million and $ 3.4 million in 2006 , 2005 and 2004 , respectively , in curtailment losses , and $ 8.7 million , $ 3.6 million and $ 1.4 million in 2006 , 2005 and 2004 , respectively , of termination benefits , in connection with cost reduction programs and facility rationalizations that were recorded in restructuring and other charges in the con- solidated statement of operations ."], ["text_23", "also excludes $ 77.2 million and $ 14.3 million in 2006 and 2005 , respectively , in curtailment losses , and $ 18.6 million and $ 7.6 million of termination bene- fits in 2006 and 2005 , respectively , related to certain divest- itures recorded in net losses on sales and impairments of businesses held for sale in the consolidated statement of oper- ations. ."]]}, "answers": ["119%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000889", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate of operating expenses from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-5.3%.", "rejected": "52.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate of operating expenses <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate of operating expenses <TIME>?", "original_question": "what is the growth rate of operating expenses from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "52.2%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "LMT/2010/page_39.pdf-1", "qa": {"question": "what is the growth rate of operating expenses from 2009 to 2010?", "answer": "-5.3%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "8246", "arg2": "972", "res": "7274"}, {"op": "minus1-2", "arg1": "8654", "arg2": "972", "res": "7682"}, {"op": "minus1-3", "arg1": "#0", "arg2": "#1", "res": "-408"}, {"op": "divide1-4", "arg1": "#2", "arg2": "#1", "res": "-5.3%"}], "program": "subtract(8246, 972), subtract(8654, 972), subtract(#0, #1), divide(#2, #1)", "gold_inds": {"table_1": "( in millions ) the net sales of 2010 is $ 8246 ; the net sales of 2009 is $ 8654 ; the net sales of 2008 is $ 8027 ;", "table_2": "( in millions ) the operating profit of 2010 is 972 ; the operating profit of 2009 is 972 ; the operating profit of 2008 is 953 ;"}, "exe_ans": -0.05311, "tfidftopn": {"text_0": "operating profit for the segment decreased by 1% ( 1 % ) in 2010 compared to 2009 ."}, "program_re": "divide(subtract(subtract(8246, 972), subtract(8654, 972)), subtract(8654, 972))", "model_input": [["table_1", "( in millions ) the net sales of 2010 is $ 8246 ; the net sales of 2009 is $ 8654 ; the net sales of 2008 is $ 8027 ;"], ["table_2", "( in millions ) the operating profit of 2010 is 972 ; the operating profit of 2009 is 972 ; the operating profit of 2008 is 953 ;"], ["table_3", "( in millions ) the operating margin of 2010 is 11.8% ( 11.8 % ) ; the operating margin of 2009 is 11.2% ( 11.2 % ) ; the operating margin of 2008 is 11.9% ( 11.9 % ) ;"]]}, "answers": ["-5.3%"]}, "rejected_source": {"id": "LMT/2016/page_50.pdf-4", "qa": {"question": "what is the growth rate of operating expenses from 2015 to 2016?", "answer": "52.2%", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "9091", "arg2": "844", "res": "8247"}, {"op": "minus2-2", "arg1": "13462", "arg2": "906", "res": "12556"}, {"op": "minus2-3", "arg1": "#1", "arg2": "#0", "res": "4309"}, {"op": "divide2-4", "arg1": "#2", "arg2": "#0", "res": "52.2%"}], "program": "subtract(9091, 844), subtract(13462, 906), subtract(#1, #0), divide(#2, #0)", "gold_inds": {"table_1": "the net sales of 2016 is $ 13462 ; the net sales of 2015 is $ 9091 ; the net sales of 2014 is $ 8732 ;", "table_2": "the operating profit of 2016 is 906 ; the operating profit of 2015 is 844 ; the operating profit of 2014 is 936 ;", "table_3": "the operating margin of 2016 is 6.7% ( 6.7 % ) ; the operating margin of 2015 is 9.3% ( 9.3 % ) ; the operating margin of 2014 is 10.7% ( 10.7 % ) ;"}, "exe_ans": 0.52249, "tfidftopn": {}, "program_re": "divide(subtract(subtract(13462, 906), subtract(9091, 844)), subtract(9091, 844))", "model_input": [["table_1", "the net sales of 2016 is $ 13462 ; the net sales of 2015 is $ 9091 ; the net sales of 2014 is $ 8732 ;"], ["table_2", "the operating profit of 2016 is 906 ; the operating profit of 2015 is 844 ; the operating profit of 2014 is 936 ;"], ["table_3", "the operating margin of 2016 is 6.7% ( 6.7 % ) ; the operating margin of 2015 is 9.3% ( 9.3 % ) ; the operating margin of 2014 is 10.7% ( 10.7 % ) ;"]]}, "answers": ["52.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000890", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate of operating expenses from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "52.2%.", "rejected": "-5.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate of operating expenses <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate of operating expenses <TIME>?", "original_question": "what is the growth rate of operating expenses from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5.3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "52.2%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "LMT/2016/page_50.pdf-4", "qa": {"question": "what is the growth rate of operating expenses from 2015 to 2016?", "answer": "52.2%", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "9091", "arg2": "844", "res": "8247"}, {"op": "minus2-2", "arg1": "13462", "arg2": "906", "res": "12556"}, {"op": "minus2-3", "arg1": "#1", "arg2": "#0", "res": "4309"}, {"op": "divide2-4", "arg1": "#2", "arg2": "#0", "res": "52.2%"}], "program": "subtract(9091, 844), subtract(13462, 906), subtract(#1, #0), divide(#2, #0)", "gold_inds": {"table_1": "the net sales of 2016 is $ 13462 ; the net sales of 2015 is $ 9091 ; the net sales of 2014 is $ 8732 ;", "table_2": "the operating profit of 2016 is 906 ; the operating profit of 2015 is 844 ; the operating profit of 2014 is 936 ;", "table_3": "the operating margin of 2016 is 6.7% ( 6.7 % ) ; the operating margin of 2015 is 9.3% ( 9.3 % ) ; the operating margin of 2014 is 10.7% ( 10.7 % ) ;"}, "exe_ans": 0.52249, "tfidftopn": {}, "program_re": "divide(subtract(subtract(13462, 906), subtract(9091, 844)), subtract(9091, 844))", "model_input": [["table_1", "the net sales of 2016 is $ 13462 ; the net sales of 2015 is $ 9091 ; the net sales of 2014 is $ 8732 ;"], ["table_2", "the operating profit of 2016 is 906 ; the operating profit of 2015 is 844 ; the operating profit of 2014 is 936 ;"], ["table_3", "the operating margin of 2016 is 6.7% ( 6.7 % ) ; the operating margin of 2015 is 9.3% ( 9.3 % ) ; the operating margin of 2014 is 10.7% ( 10.7 % ) ;"]]}, "answers": ["52.2%"]}, "rejected_source": {"id": "LMT/2010/page_39.pdf-1", "qa": {"question": "what is the growth rate of operating expenses from 2009 to 2010?", "answer": "-5.3%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "8246", "arg2": "972", "res": "7274"}, {"op": "minus1-2", "arg1": "8654", "arg2": "972", "res": "7682"}, {"op": "minus1-3", "arg1": "#0", "arg2": "#1", "res": "-408"}, {"op": "divide1-4", "arg1": "#2", "arg2": "#1", "res": "-5.3%"}], "program": "subtract(8246, 972), subtract(8654, 972), subtract(#0, #1), divide(#2, #1)", "gold_inds": {"table_1": "( in millions ) the net sales of 2010 is $ 8246 ; the net sales of 2009 is $ 8654 ; the net sales of 2008 is $ 8027 ;", "table_2": "( in millions ) the operating profit of 2010 is 972 ; the operating profit of 2009 is 972 ; the operating profit of 2008 is 953 ;"}, "exe_ans": -0.05311, "tfidftopn": {"text_0": "operating profit for the segment decreased by 1% ( 1 % ) in 2010 compared to 2009 ."}, "program_re": "divide(subtract(subtract(8246, 972), subtract(8654, 972)), subtract(8654, 972))", "model_input": [["table_1", "( in millions ) the net sales of 2010 is $ 8246 ; the net sales of 2009 is $ 8654 ; the net sales of 2008 is $ 8027 ;"], ["table_2", "( in millions ) the operating profit of 2010 is 972 ; the operating profit of 2009 is 972 ; the operating profit of 2008 is 953 ;"], ["table_3", "( in millions ) the operating margin of 2010 is 11.8% ( 11.8 % ) ; the operating margin of 2009 is 11.2% ( 11.2 % ) ; the operating margin of 2008 is 11.9% ( 11.9 % ) ;"]]}, "answers": ["-5.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000891", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the price of espp shares purchased from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-13.2%.", "rejected": "33.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in the price of espp shares purchased <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in the price of espp shares purchased <TIME>?", "original_question": "what is the growth rate in the price of espp shares purchased from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"33.9%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "-13.2%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "AMT/2008/page_105.pdf-1", "qa": {"question": "what is the growth rate in the price of espp shares purchased from 2007 to 2008?", "answer": "-13.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus1-1", "arg1": "7.89", "arg2": "9.09", "res": "-1.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "9.09", "res": "-13.2%"}], "program": "subtract(7.89, 9.09), divide(#0, 9.09)", "gold_inds": {"text_3": "the weighted average fair value for the espp shares purchased during 2008 , 2007 and 2006 were $ 7.89 , $ 9.09 and $ 6.79 , respectively ."}, "exe_ans": -0.13201, "tfidftopn": {"table_2": "The weighted average risk-free interest rate of 2008 is 2.58% ( 2.58 % ) ; The weighted average risk-free interest rate of 2007 is 5.02% ( 5.02 % ) ; The weighted average risk-free interest rate of 2006 is 5.08% ( 5.08 % ) ;", "text_1": "during the 2008 , 2007 and 2006 offering periods employees purchased 55764 , 48886 and 53210 shares , respectively , at weighted average prices per share of $ 30.08 , $ 33.93 and $ 24.98 , respectively ."}, "program_re": "divide(subtract(7.89, 9.09), 9.09)", "model_input": [["text_1", "during the 2008 , 2007 and 2006 offering periods employees purchased 55764 , 48886 and 53210 shares , respectively , at weighted average prices per share of $ 30.08 , $ 33.93 and $ 24.98 , respectively ."], ["text_3", "the weighted average fair value for the espp shares purchased during 2008 , 2007 and 2006 were $ 7.89 , $ 9.09 and $ 6.79 , respectively ."], ["text_20", "stock repurchase programs 2014during the year ended december 31 , 2008 , the company repurchased an aggregate of approximately 18.3 million shares of its common stock for an aggregate of $ 697.1 million , including commissions and fees , pursuant to its publicly announced stock repurchase programs , as described below. ."]]}, "answers": ["-13.2%"]}, "rejected_source": {"id": "AMT/2008/page_105.pdf-2", "qa": {"question": "what is the growth rate in the price of espp shares purchased from 2006 to 2007?", "answer": "33.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus2-1", "arg1": "9.09", "arg2": "6.79", "res": "2.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6.79", "res": "33.9%"}], "program": "subtract(9.09, 6.79), divide(#0, 6.79)", "gold_inds": {"text_3": "the weighted average fair value for the espp shares purchased during 2008 , 2007 and 2006 were $ 7.89 , $ 9.09 and $ 6.79 , respectively ."}, "exe_ans": 0.33873, "tfidftopn": {"table_2": "The weighted average risk-free interest rate of 2008 is 2.58% ( 2.58 % ) ; The weighted average risk-free interest rate of 2007 is 5.02% ( 5.02 % ) ; The weighted average risk-free interest rate of 2006 is 5.08% ( 5.08 % ) ;", "text_1": "during the 2008 , 2007 and 2006 offering periods employees purchased 55764 , 48886 and 53210 shares , respectively , at weighted average prices per share of $ 30.08 , $ 33.93 and $ 24.98 , respectively ."}, "program_re": "divide(subtract(9.09, 6.79), 6.79)", "model_input": [["text_1", "during the 2008 , 2007 and 2006 offering periods employees purchased 55764 , 48886 and 53210 shares , respectively , at weighted average prices per share of $ 30.08 , $ 33.93 and $ 24.98 , respectively ."], ["text_3", "the weighted average fair value for the espp shares purchased during 2008 , 2007 and 2006 were $ 7.89 , $ 9.09 and $ 6.79 , respectively ."], ["text_20", "stock repurchase programs 2014during the year ended december 31 , 2008 , the company repurchased an aggregate of approximately 18.3 million shares of its common stock for an aggregate of $ 697.1 million , including commissions and fees , pursuant to its publicly announced stock repurchase programs , as described below. ."]]}, "answers": ["33.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000892", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the price of espp shares purchased from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "33.9%.", "rejected": "-13.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in the price of espp shares purchased <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in the price of espp shares purchased <TIME>?", "original_question": "what is the growth rate in the price of espp shares purchased from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"33.9%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "-13.2%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "AMT/2008/page_105.pdf-2", "qa": {"question": "what is the growth rate in the price of espp shares purchased from 2006 to 2007?", "answer": "33.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus2-1", "arg1": "9.09", "arg2": "6.79", "res": "2.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6.79", "res": "33.9%"}], "program": "subtract(9.09, 6.79), divide(#0, 6.79)", "gold_inds": {"text_3": "the weighted average fair value for the espp shares purchased during 2008 , 2007 and 2006 were $ 7.89 , $ 9.09 and $ 6.79 , respectively ."}, "exe_ans": 0.33873, "tfidftopn": {"table_2": "The weighted average risk-free interest rate of 2008 is 2.58% ( 2.58 % ) ; The weighted average risk-free interest rate of 2007 is 5.02% ( 5.02 % ) ; The weighted average risk-free interest rate of 2006 is 5.08% ( 5.08 % ) ;", "text_1": "during the 2008 , 2007 and 2006 offering periods employees purchased 55764 , 48886 and 53210 shares , respectively , at weighted average prices per share of $ 30.08 , $ 33.93 and $ 24.98 , respectively ."}, "program_re": "divide(subtract(9.09, 6.79), 6.79)", "model_input": [["text_1", "during the 2008 , 2007 and 2006 offering periods employees purchased 55764 , 48886 and 53210 shares , respectively , at weighted average prices per share of $ 30.08 , $ 33.93 and $ 24.98 , respectively ."], ["text_3", "the weighted average fair value for the espp shares purchased during 2008 , 2007 and 2006 were $ 7.89 , $ 9.09 and $ 6.79 , respectively ."], ["text_20", "stock repurchase programs 2014during the year ended december 31 , 2008 , the company repurchased an aggregate of approximately 18.3 million shares of its common stock for an aggregate of $ 697.1 million , including commissions and fees , pursuant to its publicly announced stock repurchase programs , as described below. ."]]}, "answers": ["33.9%"]}, "rejected_source": {"id": "AMT/2008/page_105.pdf-1", "qa": {"question": "what is the growth rate in the price of espp shares purchased from 2007 to 2008?", "answer": "-13.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus1-1", "arg1": "7.89", "arg2": "9.09", "res": "-1.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "9.09", "res": "-13.2%"}], "program": "subtract(7.89, 9.09), divide(#0, 9.09)", "gold_inds": {"text_3": "the weighted average fair value for the espp shares purchased during 2008 , 2007 and 2006 were $ 7.89 , $ 9.09 and $ 6.79 , respectively ."}, "exe_ans": -0.13201, "tfidftopn": {"table_2": "The weighted average risk-free interest rate of 2008 is 2.58% ( 2.58 % ) ; The weighted average risk-free interest rate of 2007 is 5.02% ( 5.02 % ) ; The weighted average risk-free interest rate of 2006 is 5.08% ( 5.08 % ) ;", "text_1": "during the 2008 , 2007 and 2006 offering periods employees purchased 55764 , 48886 and 53210 shares , respectively , at weighted average prices per share of $ 30.08 , $ 33.93 and $ 24.98 , respectively ."}, "program_re": "divide(subtract(7.89, 9.09), 9.09)", "model_input": [["text_1", "during the 2008 , 2007 and 2006 offering periods employees purchased 55764 , 48886 and 53210 shares , respectively , at weighted average prices per share of $ 30.08 , $ 33.93 and $ 24.98 , respectively ."], ["text_3", "the weighted average fair value for the espp shares purchased during 2008 , 2007 and 2006 were $ 7.89 , $ 9.09 and $ 6.79 , respectively ."], ["text_20", "stock repurchase programs 2014during the year ended december 31 , 2008 , the company repurchased an aggregate of approximately 18.3 million shares of its common stock for an aggregate of $ 697.1 million , including commissions and fees , pursuant to its publicly announced stock repurchase programs , as described below. ."]]}, "answers": ["-13.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000893", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by what percentage point did the net income margin improve in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "1.3.", "rejected": "4.0.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || by what percentage point did the net income margin improve <TIME>?", "doc_prefix": "ETR", "base_question": "by what percentage point did the net income margin improve <TIME>?", "original_question": "by what percentage point did the net income margin improve in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.0": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "1.3": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "ETR/2011/page_294.pdf-1", "qa": {"question": "by what percentage point did the net income margin improve in 2011?", "answer": "1.3", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [1], "steps": [{"op": "divide1-1", "arg1": "12.3", "arg2": "933.4", "res": "1.3"}], "program": "divide(12.3, 933.4)", "gold_inds": {"table_7": "the 2011 net revenue of amount ( in millions ) is $ 933.4 ;", "text_1": "management 2019s financial discussion and analysis plan to spin off the utility 2019s transmission business see the 201cplan to spin off the utility 2019s transmission business 201d section of entergy corporation and subsidiaries management 2019s financial discussion and analysis for a discussion of this matter , including the planned retirement of debt and preferred securities .", "text_2": "results of operations net income 2011 compared to 2010 net income increased $ 12.3 million primarily due to lower interest expense and lower other operation and maintenance expenses , offset by higher depreciation and amortization expenses and a higher effective income tax 2010 compared to 2009 net income increased $ 37.7 million primarily due to higher net revenue , a lower effective income tax rate , and lower interest expense , offset by higher other operation and maintenance expenses , lower other income , and higher taxes other than income taxes ."}, "exe_ans": 0.01318, "tfidftopn": {}, "program_re": "divide(12.3, 933.4)", "model_input": [["text_1", "management 2019s financial discussion and analysis plan to spin off the utility 2019s transmission business see the 201cplan to spin off the utility 2019s transmission business 201d section of entergy corporation and subsidiaries management 2019s financial discussion and analysis for a discussion of this matter , including the planned retirement of debt and preferred securities ."], ["text_2", "results of operations net income 2011 compared to 2010 net income increased $ 12.3 million primarily due to lower interest expense and lower other operation and maintenance expenses , offset by higher depreciation and amortization expenses and a higher effective income tax 2010 compared to 2009 net income increased $ 37.7 million primarily due to higher net revenue , a lower effective income tax rate , and lower interest expense , offset by higher other operation and maintenance expenses , lower other income , and higher taxes other than income taxes ."], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 933.4 ;"]]}, "answers": ["1.3"]}, "rejected_source": {"id": "ETR/2011/page_294.pdf-3", "qa": {"question": "by what percentage point did the net income margin improve in 2010?", "answer": "4.0", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [1], "steps": [{"op": "divide2-1", "arg1": "37.7", "arg2": "933.6", "res": "4.0"}], "program": "divide(37.7, 933.6)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 933.6 ;", "text_1": "management 2019s financial discussion and analysis plan to spin off the utility 2019s transmission business see the 201cplan to spin off the utility 2019s transmission business 201d section of entergy corporation and subsidiaries management 2019s financial discussion and analysis for a discussion of this matter , including the planned retirement of debt and preferred securities .", "text_2": "results of operations net income 2011 compared to 2010 net income increased $ 12.3 million primarily due to lower interest expense and lower other operation and maintenance expenses , offset by higher depreciation and amortization expenses and a higher effective income tax 2010 compared to 2009 net income increased $ 37.7 million primarily due to higher net revenue , a lower effective income tax rate , and lower interest expense , offset by higher other operation and maintenance expenses , lower other income , and higher taxes other than income taxes ."}, "exe_ans": 0.04038, "tfidftopn": {}, "program_re": "divide(37.7, 933.6)", "model_input": [["text_1", "management 2019s financial discussion and analysis plan to spin off the utility 2019s transmission business see the 201cplan to spin off the utility 2019s transmission business 201d section of entergy corporation and subsidiaries management 2019s financial discussion and analysis for a discussion of this matter , including the planned retirement of debt and preferred securities ."], ["text_2", "results of operations net income 2011 compared to 2010 net income increased $ 12.3 million primarily due to lower interest expense and lower other operation and maintenance expenses , offset by higher depreciation and amortization expenses and a higher effective income tax 2010 compared to 2009 net income increased $ 37.7 million primarily due to higher net revenue , a lower effective income tax rate , and lower interest expense , offset by higher other operation and maintenance expenses , lower other income , and higher taxes other than income taxes ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 933.6 ;"]]}, "answers": ["4.0"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000894", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by what percentage point did the net income margin improve in 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "4.0.", "rejected": "1.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || by what percentage point did the net income margin improve <TIME>?", "doc_prefix": "ETR", "base_question": "by what percentage point did the net income margin improve <TIME>?", "original_question": "by what percentage point did the net income margin improve in 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.0": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "1.3": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "ETR/2011/page_294.pdf-3", "qa": {"question": "by what percentage point did the net income margin improve in 2010?", "answer": "4.0", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [1], "steps": [{"op": "divide2-1", "arg1": "37.7", "arg2": "933.6", "res": "4.0"}], "program": "divide(37.7, 933.6)", "gold_inds": {"table_1": "the 2010 net revenue of amount ( in millions ) is $ 933.6 ;", "text_1": "management 2019s financial discussion and analysis plan to spin off the utility 2019s transmission business see the 201cplan to spin off the utility 2019s transmission business 201d section of entergy corporation and subsidiaries management 2019s financial discussion and analysis for a discussion of this matter , including the planned retirement of debt and preferred securities .", "text_2": "results of operations net income 2011 compared to 2010 net income increased $ 12.3 million primarily due to lower interest expense and lower other operation and maintenance expenses , offset by higher depreciation and amortization expenses and a higher effective income tax 2010 compared to 2009 net income increased $ 37.7 million primarily due to higher net revenue , a lower effective income tax rate , and lower interest expense , offset by higher other operation and maintenance expenses , lower other income , and higher taxes other than income taxes ."}, "exe_ans": 0.04038, "tfidftopn": {}, "program_re": "divide(37.7, 933.6)", "model_input": [["text_1", "management 2019s financial discussion and analysis plan to spin off the utility 2019s transmission business see the 201cplan to spin off the utility 2019s transmission business 201d section of entergy corporation and subsidiaries management 2019s financial discussion and analysis for a discussion of this matter , including the planned retirement of debt and preferred securities ."], ["text_2", "results of operations net income 2011 compared to 2010 net income increased $ 12.3 million primarily due to lower interest expense and lower other operation and maintenance expenses , offset by higher depreciation and amortization expenses and a higher effective income tax 2010 compared to 2009 net income increased $ 37.7 million primarily due to higher net revenue , a lower effective income tax rate , and lower interest expense , offset by higher other operation and maintenance expenses , lower other income , and higher taxes other than income taxes ."], ["table_1", "the 2010 net revenue of amount ( in millions ) is $ 933.6 ;"]]}, "answers": ["4.0"]}, "rejected_source": {"id": "ETR/2011/page_294.pdf-1", "qa": {"question": "by what percentage point did the net income margin improve in 2011?", "answer": "1.3", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [1], "steps": [{"op": "divide1-1", "arg1": "12.3", "arg2": "933.4", "res": "1.3"}], "program": "divide(12.3, 933.4)", "gold_inds": {"table_7": "the 2011 net revenue of amount ( in millions ) is $ 933.4 ;", "text_1": "management 2019s financial discussion and analysis plan to spin off the utility 2019s transmission business see the 201cplan to spin off the utility 2019s transmission business 201d section of entergy corporation and subsidiaries management 2019s financial discussion and analysis for a discussion of this matter , including the planned retirement of debt and preferred securities .", "text_2": "results of operations net income 2011 compared to 2010 net income increased $ 12.3 million primarily due to lower interest expense and lower other operation and maintenance expenses , offset by higher depreciation and amortization expenses and a higher effective income tax 2010 compared to 2009 net income increased $ 37.7 million primarily due to higher net revenue , a lower effective income tax rate , and lower interest expense , offset by higher other operation and maintenance expenses , lower other income , and higher taxes other than income taxes ."}, "exe_ans": 0.01318, "tfidftopn": {}, "program_re": "divide(12.3, 933.4)", "model_input": [["text_1", "management 2019s financial discussion and analysis plan to spin off the utility 2019s transmission business see the 201cplan to spin off the utility 2019s transmission business 201d section of entergy corporation and subsidiaries management 2019s financial discussion and analysis for a discussion of this matter , including the planned retirement of debt and preferred securities ."], ["text_2", "results of operations net income 2011 compared to 2010 net income increased $ 12.3 million primarily due to lower interest expense and lower other operation and maintenance expenses , offset by higher depreciation and amortization expenses and a higher effective income tax 2010 compared to 2009 net income increased $ 37.7 million primarily due to higher net revenue , a lower effective income tax rate , and lower interest expense , offset by higher other operation and maintenance expenses , lower other income , and higher taxes other than income taxes ."], ["table_7", "the 2011 net revenue of amount ( in millions ) is $ 933.4 ;"]]}, "answers": ["1.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000895", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 1998 and 1999?\nReference time interval: 1998-01-01 00:00:00 to 2000-01-01 00:00:00", "chosen": "-26%.", "rejected": "5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method <TIME>?", "doc_prefix": "AES", "base_question": "what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method <TIME>?", "original_question": "what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 1998 and 1999?", "reference_time": {"start": "1998-01-01 00:00:00", "end": "2000-01-01 00:00:00", "normalized_text": "between 1998 and 1999", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-26%": [{"start": "1998-01-01 00:00:00", "end": "2000-01-01 00:00:00", "normalized_text": "between 1998 and 1999"}], "5%": [{"start": "1999-01-01 00:00:00", "end": "2001-01-01 00:00:00", "normalized_text": "between 1999 and 2000"}]}, "chosen_source": {"id": "AES/2000/page_111.pdf-4", "qa": {"question": "what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 1998 and 1999?", "answer": "-26%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5960", "arg2": "8091", "res": "-2131"}, {"op": "divide1-2", "arg1": "#0", "arg2": "8091", "res": "-26%"}], "program": "subtract(5960, 8091), divide(#0, 8091)", "gold_inds": {"table_1": "as of and for the years ended december 31 , the revenues of 2000 is $ 6241 ; the revenues of 1999 is $ 5960 ; the revenues of 1998 is $ 8091 ;"}, "exe_ans": -0.26338, "tfidftopn": {"text_25": "the following table presents summarized financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method: .", "text_4": "the company accounts for this investment using the equity method based on the related consortium agreement that allows the exercise of significant influence ."}, "program_re": "divide(subtract(5960, 8091), 8091)", "model_input": [["text_25", "the following table presents summarized financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method: ."], ["table_1", "as of and for the years ended december 31 , the revenues of 2000 is $ 6241 ; the revenues of 1999 is $ 5960 ; the revenues of 1998 is $ 8091 ;"], ["table_8", "as of and for the years ended december 31, the stockholder's equity of 2000 is 6206 ; the stockholder's equity of 1999 is 6445 ; the stockholder's equity of 1998 is 9572 ;"]]}, "answers": ["-26%"]}, "rejected_source": {"id": "AES/2000/page_111.pdf-2", "qa": {"question": "what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 1999 and 2000?", "answer": "5%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6241", "arg2": "5960", "res": "281"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5960", "res": "5%"}], "program": "subtract(6241, 5960), divide(#0, 5960)", "gold_inds": {"table_1": "as of and for the years ended december 31 , the revenues of 2000 is $ 6241 ; the revenues of 1999 is $ 5960 ; the revenues of 1998 is $ 8091 ;"}, "exe_ans": 0.04715, "tfidftopn": {"text_25": "the following table presents summarized financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method: .", "text_4": "the company accounts for this investment using the equity method based on the related consortium agreement that allows the exercise of significant influence ."}, "program_re": "divide(subtract(6241, 5960), 5960)", "model_input": [["text_25", "the following table presents summarized financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method: ."], ["table_1", "as of and for the years ended december 31 , the revenues of 2000 is $ 6241 ; the revenues of 1999 is $ 5960 ; the revenues of 1998 is $ 8091 ;"], ["table_8", "as of and for the years ended december 31, the stockholder's equity of 2000 is 6206 ; the stockholder's equity of 1999 is 6445 ; the stockholder's equity of 1998 is 9572 ;"]]}, "answers": ["5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000896", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 1999 and 2000?\nReference time interval: 1999-01-01 00:00:00 to 2001-01-01 00:00:00", "chosen": "5%.", "rejected": "-26%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method <TIME>?", "doc_prefix": "AES", "base_question": "what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method <TIME>?", "original_question": "what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 1999 and 2000?", "reference_time": {"start": "1999-01-01 00:00:00", "end": "2001-01-01 00:00:00", "normalized_text": "between 1999 and 2000", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-26%": [{"start": "1998-01-01 00:00:00", "end": "2000-01-01 00:00:00", "normalized_text": "between 1998 and 1999"}], "5%": [{"start": "1999-01-01 00:00:00", "end": "2001-01-01 00:00:00", "normalized_text": "between 1999 and 2000"}]}, "chosen_source": {"id": "AES/2000/page_111.pdf-2", "qa": {"question": "what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 1999 and 2000?", "answer": "5%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6241", "arg2": "5960", "res": "281"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5960", "res": "5%"}], "program": "subtract(6241, 5960), divide(#0, 5960)", "gold_inds": {"table_1": "as of and for the years ended december 31 , the revenues of 2000 is $ 6241 ; the revenues of 1999 is $ 5960 ; the revenues of 1998 is $ 8091 ;"}, "exe_ans": 0.04715, "tfidftopn": {"text_25": "the following table presents summarized financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method: .", "text_4": "the company accounts for this investment using the equity method based on the related consortium agreement that allows the exercise of significant influence ."}, "program_re": "divide(subtract(6241, 5960), 5960)", "model_input": [["text_25", "the following table presents summarized financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method: ."], ["table_1", "as of and for the years ended december 31 , the revenues of 2000 is $ 6241 ; the revenues of 1999 is $ 5960 ; the revenues of 1998 is $ 8091 ;"], ["table_8", "as of and for the years ended december 31, the stockholder's equity of 2000 is 6206 ; the stockholder's equity of 1999 is 6445 ; the stockholder's equity of 1998 is 9572 ;"]]}, "answers": ["5%"]}, "rejected_source": {"id": "AES/2000/page_111.pdf-4", "qa": {"question": "what was the change in revenue for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method between 1998 and 1999?", "answer": "-26%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5960", "arg2": "8091", "res": "-2131"}, {"op": "divide1-2", "arg1": "#0", "arg2": "8091", "res": "-26%"}], "program": "subtract(5960, 8091), divide(#0, 8091)", "gold_inds": {"table_1": "as of and for the years ended december 31 , the revenues of 2000 is $ 6241 ; the revenues of 1999 is $ 5960 ; the revenues of 1998 is $ 8091 ;"}, "exe_ans": -0.26338, "tfidftopn": {"text_25": "the following table presents summarized financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method: .", "text_4": "the company accounts for this investment using the equity method based on the related consortium agreement that allows the exercise of significant influence ."}, "program_re": "divide(subtract(5960, 8091), 8091)", "model_input": [["text_25", "the following table presents summarized financial information ( in millions ) for the company 2019s investments in 50% ( 50 % ) or less owned investments accounted for using the equity method: ."], ["table_1", "as of and for the years ended december 31 , the revenues of 2000 is $ 6241 ; the revenues of 1999 is $ 5960 ; the revenues of 1998 is $ 8091 ;"], ["table_8", "as of and for the years ended december 31, the stockholder's equity of 2000 is 6206 ; the stockholder's equity of 1999 is 6445 ; the stockholder's equity of 1998 is 9572 ;"]]}, "answers": ["-26%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000897", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the profit margin in december 2016\nReference time interval: 2016-12-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "13.3%.", "rejected": "7.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the profit margin <TIME>", "doc_prefix": "LMT", "base_question": "what was the profit margin <TIME>", "original_question": "what was the profit margin in december 2016", "reference_time": {"start": "2016-12-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016-12", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.7%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "13.3%": [{"start": "2016-12-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016-12"}]}, "chosen_source": {"id": "LMT/2018/page_86.pdf-1", "qa": {"question": "what was the profit margin in december 2016", "answer": "13.3%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "454", "arg2": "3410", "res": "13.3%"}], "program": "divide(454, 3410)", "gold_inds": {"table_5": "net sales the operating profit of $ 3410 is 454 ;"}, "exe_ans": 0.13314, "tfidftopn": {"text_12": "these net pension costs were $ 54 million for the year ended december 31 , 2016 .", "table_3": "net sales The gross profit of $ 3410 is 438 ;"}, "program_re": "divide(454, 3410)", "model_input": [["table_1", "net sales the cost of sales of $ 3410 is -2953 ( 2953 ) ;"], ["table_3", "net sales the gross profit of $ 3410 is 438 ;"], ["table_5", "net sales the operating profit of $ 3410 is 454 ;"]]}, "answers": ["13.3%"]}, "rejected_source": {"id": "LMT/2006/page_54.pdf-2", "qa": {"question": "what was the profit margin in 2004", "answer": "7.7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "489", "arg2": "6359", "res": "7.7%"}], "program": "divide(489, 6359)", "gold_inds": {"table_1": "( in millions ) the net sales of 2006 is $ 7923 ; the net sales of 2005 is $ 6820 ; the net sales of 2004 is $ 6359 ;", "table_2": "( in millions ) the operating profit of 2006 is 746 ; the operating profit of 2005 is 609 ; the operating profit of 2004 is 489 ;"}, "exe_ans": 0.0769, "tfidftopn": {"text_0": "operating profit for the segment increased by 15% ( 15 % ) in 2005 compared to 2004 ."}, "program_re": "divide(489, 6359)", "model_input": [["table_1", "( in millions ) the net sales of 2006 is $ 7923 ; the net sales of 2005 is $ 6820 ; the net sales of 2004 is $ 6359 ;"], ["table_2", "( in millions ) the operating profit of 2006 is 746 ; the operating profit of 2005 is 609 ; the operating profit of 2004 is 489 ;"], ["table_3", "( in millions ) the backlog at year-end of 2006 is 18768 ; the backlog at year-end of 2005 is 15925 ; the backlog at year-end of 2004 is 16112 ;"]]}, "answers": ["7.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000898", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the profit margin in 2004\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "7.7%.", "rejected": "13.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the profit margin <TIME>", "doc_prefix": "LMT", "base_question": "what was the profit margin <TIME>", "original_question": "what was the profit margin in 2004", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.7%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "13.3%": [{"start": "2016-12-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016-12"}]}, "chosen_source": {"id": "LMT/2006/page_54.pdf-2", "qa": {"question": "what was the profit margin in 2004", "answer": "7.7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "489", "arg2": "6359", "res": "7.7%"}], "program": "divide(489, 6359)", "gold_inds": {"table_1": "( in millions ) the net sales of 2006 is $ 7923 ; the net sales of 2005 is $ 6820 ; the net sales of 2004 is $ 6359 ;", "table_2": "( in millions ) the operating profit of 2006 is 746 ; the operating profit of 2005 is 609 ; the operating profit of 2004 is 489 ;"}, "exe_ans": 0.0769, "tfidftopn": {"text_0": "operating profit for the segment increased by 15% ( 15 % ) in 2005 compared to 2004 ."}, "program_re": "divide(489, 6359)", "model_input": [["table_1", "( in millions ) the net sales of 2006 is $ 7923 ; the net sales of 2005 is $ 6820 ; the net sales of 2004 is $ 6359 ;"], ["table_2", "( in millions ) the operating profit of 2006 is 746 ; the operating profit of 2005 is 609 ; the operating profit of 2004 is 489 ;"], ["table_3", "( in millions ) the backlog at year-end of 2006 is 18768 ; the backlog at year-end of 2005 is 15925 ; the backlog at year-end of 2004 is 16112 ;"]]}, "answers": ["7.7%"]}, "rejected_source": {"id": "LMT/2018/page_86.pdf-1", "qa": {"question": "what was the profit margin in december 2016", "answer": "13.3%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "454", "arg2": "3410", "res": "13.3%"}], "program": "divide(454, 3410)", "gold_inds": {"table_5": "net sales the operating profit of $ 3410 is 454 ;"}, "exe_ans": 0.13314, "tfidftopn": {"text_12": "these net pension costs were $ 54 million for the year ended december 31 , 2016 .", "table_3": "net sales The gross profit of $ 3410 is 438 ;"}, "program_re": "divide(454, 3410)", "model_input": [["table_1", "net sales the cost of sales of $ 3410 is -2953 ( 2953 ) ;"], ["table_3", "net sales the gross profit of $ 3410 is 438 ;"], ["table_5", "net sales the operating profit of $ 3410 is 454 ;"]]}, "answers": ["13.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000899", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in diluted earnings ( loss ) per common share from continuing operations between 2008 and 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "$ 4.57.", "rejected": "( $ 5.83 ).", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the net change in diluted earnings ( loss ) per common share from continuing operations <TIME>?", "doc_prefix": "IP", "base_question": "what was the net change in diluted earnings ( loss ) per common share from continuing operations <TIME>?", "original_question": "what was the net change in diluted earnings ( loss ) per common share from continuing operations between 2008 and 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"( $ 5.83 )": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "$ 4.57": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}]}, "chosen_source": {"id": "IP/2009/page_72.pdf-1", "qa": {"question": "what was the net change in diluted earnings ( loss ) per common share from continuing operations between 2008 and 2009?", "answer": "$ 4.57", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1.55", "arg2": "-3.02", "res": "4.57"}], "program": "subtract(1.55, -3.02)", "gold_inds": {"table_9": "in millions except per share amounts the diluted earnings ( loss ) per common share from continuing operations of 2009 is $ 1.55 ; the diluted earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; the diluted earnings ( loss ) per common share from continuing operations of 2007 is $ 2.81 ;"}, "exe_ans": 4.57, "tfidftopn": {"table_8": "in millions except per share amounts The basic earnings ( loss ) per common share from continuing operations of 2009 is $ 1.56 ; The basic earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; The basic earnings ( loss ) per common share from continuing operations of 2007 is $ 2.83 ;", "table_1": "in millions except per share amounts The earnings ( loss ) from continuing operations of 2009 is $ 663 ; The earnings ( loss ) from continuing operations of 2008 is $ -1269 ( 1269 ) ; The earnings ( loss ) from continuing operations of 2007 is $ 1215 ;"}, "program_re": "subtract(1.55, -3.02)", "model_input": [["table_1", "in millions except per share amounts the earnings ( loss ) from continuing operations of 2009 is $ 663 ; the earnings ( loss ) from continuing operations of 2008 is $ -1269 ( 1269 ) ; the earnings ( loss ) from continuing operations of 2007 is $ 1215 ;"], ["table_9", "in millions except per share amounts the diluted earnings ( loss ) per common share from continuing operations of 2009 is $ 1.55 ; the diluted earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; the diluted earnings ( loss ) per common share from continuing operations of 2007 is $ 2.81 ;"], ["text_19", "( b ) options to purchase 22.2 million , 25.1 million and 17.5 million shares for the years ended december 31 , 2009 , 2008 and 2007 , respectively , were not included in the computation of diluted common shares outstanding because their exercise price exceeded the average market price of the company 2019s common stock for each respective reporting date ."]]}, "answers": ["$ 4.57"]}, "rejected_source": {"id": "IP/2009/page_72.pdf-2", "qa": {"question": "what was the net change in diluted earnings ( loss ) per common share from continuing operations between 2007 and 2008?", "answer": "( $ 5.83 )", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-3.02", "arg2": "2.81", "res": "-5.83"}], "program": "subtract(-3.02, 2.81)", "gold_inds": {"table_9": "in millions except per share amounts the diluted earnings ( loss ) per common share from continuing operations of 2009 is $ 1.55 ; the diluted earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; the diluted earnings ( loss ) per common share from continuing operations of 2007 is $ 2.81 ;"}, "exe_ans": -5.83, "tfidftopn": {"table_8": "in millions except per share amounts The basic earnings ( loss ) per common share from continuing operations of 2009 is $ 1.56 ; The basic earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; The basic earnings ( loss ) per common share from continuing operations of 2007 is $ 2.83 ;", "table_1": "in millions except per share amounts The earnings ( loss ) from continuing operations of 2009 is $ 663 ; The earnings ( loss ) from continuing operations of 2008 is $ -1269 ( 1269 ) ; The earnings ( loss ) from continuing operations of 2007 is $ 1215 ;"}, "program_re": "subtract(-3.02, 2.81)", "model_input": [["table_1", "in millions except per share amounts the earnings ( loss ) from continuing operations of 2009 is $ 663 ; the earnings ( loss ) from continuing operations of 2008 is $ -1269 ( 1269 ) ; the earnings ( loss ) from continuing operations of 2007 is $ 1215 ;"], ["table_9", "in millions except per share amounts the diluted earnings ( loss ) per common share from continuing operations of 2009 is $ 1.55 ; the diluted earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; the diluted earnings ( loss ) per common share from continuing operations of 2007 is $ 2.81 ;"], ["text_19", "( b ) options to purchase 22.2 million , 25.1 million and 17.5 million shares for the years ended december 31 , 2009 , 2008 and 2007 , respectively , were not included in the computation of diluted common shares outstanding because their exercise price exceeded the average market price of the company 2019s common stock for each respective reporting date ."]]}, "answers": ["( $ 5.83 )"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000900", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in diluted earnings ( loss ) per common share from continuing operations between 2007 and 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "( $ 5.83 ).", "rejected": "$ 4.57.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the net change in diluted earnings ( loss ) per common share from continuing operations <TIME>?", "doc_prefix": "IP", "base_question": "what was the net change in diluted earnings ( loss ) per common share from continuing operations <TIME>?", "original_question": "what was the net change in diluted earnings ( loss ) per common share from continuing operations between 2007 and 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"( $ 5.83 )": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "between 2007 and 2008"}], "$ 4.57": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}]}, "chosen_source": {"id": "IP/2009/page_72.pdf-2", "qa": {"question": "what was the net change in diluted earnings ( loss ) per common share from continuing operations between 2007 and 2008?", "answer": "( $ 5.83 )", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-3.02", "arg2": "2.81", "res": "-5.83"}], "program": "subtract(-3.02, 2.81)", "gold_inds": {"table_9": "in millions except per share amounts the diluted earnings ( loss ) per common share from continuing operations of 2009 is $ 1.55 ; the diluted earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; the diluted earnings ( loss ) per common share from continuing operations of 2007 is $ 2.81 ;"}, "exe_ans": -5.83, "tfidftopn": {"table_8": "in millions except per share amounts The basic earnings ( loss ) per common share from continuing operations of 2009 is $ 1.56 ; The basic earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; The basic earnings ( loss ) per common share from continuing operations of 2007 is $ 2.83 ;", "table_1": "in millions except per share amounts The earnings ( loss ) from continuing operations of 2009 is $ 663 ; The earnings ( loss ) from continuing operations of 2008 is $ -1269 ( 1269 ) ; The earnings ( loss ) from continuing operations of 2007 is $ 1215 ;"}, "program_re": "subtract(-3.02, 2.81)", "model_input": [["table_1", "in millions except per share amounts the earnings ( loss ) from continuing operations of 2009 is $ 663 ; the earnings ( loss ) from continuing operations of 2008 is $ -1269 ( 1269 ) ; the earnings ( loss ) from continuing operations of 2007 is $ 1215 ;"], ["table_9", "in millions except per share amounts the diluted earnings ( loss ) per common share from continuing operations of 2009 is $ 1.55 ; the diluted earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; the diluted earnings ( loss ) per common share from continuing operations of 2007 is $ 2.81 ;"], ["text_19", "( b ) options to purchase 22.2 million , 25.1 million and 17.5 million shares for the years ended december 31 , 2009 , 2008 and 2007 , respectively , were not included in the computation of diluted common shares outstanding because their exercise price exceeded the average market price of the company 2019s common stock for each respective reporting date ."]]}, "answers": ["( $ 5.83 )"]}, "rejected_source": {"id": "IP/2009/page_72.pdf-1", "qa": {"question": "what was the net change in diluted earnings ( loss ) per common share from continuing operations between 2008 and 2009?", "answer": "$ 4.57", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1.55", "arg2": "-3.02", "res": "4.57"}], "program": "subtract(1.55, -3.02)", "gold_inds": {"table_9": "in millions except per share amounts the diluted earnings ( loss ) per common share from continuing operations of 2009 is $ 1.55 ; the diluted earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; the diluted earnings ( loss ) per common share from continuing operations of 2007 is $ 2.81 ;"}, "exe_ans": 4.57, "tfidftopn": {"table_8": "in millions except per share amounts The basic earnings ( loss ) per common share from continuing operations of 2009 is $ 1.56 ; The basic earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; The basic earnings ( loss ) per common share from continuing operations of 2007 is $ 2.83 ;", "table_1": "in millions except per share amounts The earnings ( loss ) from continuing operations of 2009 is $ 663 ; The earnings ( loss ) from continuing operations of 2008 is $ -1269 ( 1269 ) ; The earnings ( loss ) from continuing operations of 2007 is $ 1215 ;"}, "program_re": "subtract(1.55, -3.02)", "model_input": [["table_1", "in millions except per share amounts the earnings ( loss ) from continuing operations of 2009 is $ 663 ; the earnings ( loss ) from continuing operations of 2008 is $ -1269 ( 1269 ) ; the earnings ( loss ) from continuing operations of 2007 is $ 1215 ;"], ["table_9", "in millions except per share amounts the diluted earnings ( loss ) per common share from continuing operations of 2009 is $ 1.55 ; the diluted earnings ( loss ) per common share from continuing operations of 2008 is $ -3.02 ( 3.02 ) ; the diluted earnings ( loss ) per common share from continuing operations of 2007 is $ 2.81 ;"], ["text_19", "( b ) options to purchase 22.2 million , 25.1 million and 17.5 million shares for the years ended december 31 , 2009 , 2008 and 2007 , respectively , were not included in the computation of diluted common shares outstanding because their exercise price exceeded the average market price of the company 2019s common stock for each respective reporting date ."]]}, "answers": ["$ 4.57"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000901", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the gross unrecognized tax benefits between 2010 and 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "46%.", "rejected": "50%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in the gross unrecognized tax benefits <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in the gross unrecognized tax benefits <TIME>?", "original_question": "what was the percentage change in the gross unrecognized tax benefits between 2010 and 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"46%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011"}], "50%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_64.pdf-1", "qa": {"question": "what was the percentage change in the gross unrecognized tax benefits between 2010 and 2011?", "answer": "46%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1375", "arg2": "943", "res": "432"}, {"op": "divide1-2", "arg1": "#0", "arg2": "943", "res": "46%"}], "program": "subtract(1375, 943), divide(#0, 943)", "gold_inds": {"table_7": "the ending balance of 2012 is $ 2062 ; the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ;"}, "exe_ans": 0.45811, "tfidftopn": {"text_0": "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for 2012 , 2011 , and 2010 , is as follows ( in millions ) : .", "text_1": "the company includes interest and penalties related to unrecognized tax benefits within the provision for income taxes ."}, "program_re": "divide(subtract(1375, 943), 943)", "model_input": [["text_0", "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for 2012 , 2011 , and 2010 , is as follows ( in millions ) : ."], ["table_1", "the beginning balance of 2012 is $ 1375 ; the beginning balance of 2011 is $ 943 ; the beginning balance of 2010 is $ 971 ;"], ["table_7", "the ending balance of 2012 is $ 2062 ; the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ;"]]}, "answers": ["46%"]}, "rejected_source": {"id": "AAPL/2012/page_64.pdf-2", "qa": {"question": "what was the percentage change in the gross unrecognized tax benefits between 2011 and 2012?", "answer": "50%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2062", "arg2": "1375", "res": "687"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1375", "res": "50%"}], "program": "subtract(2062, 1375), divide(#0, 1375)", "gold_inds": {"table_7": "the ending balance of 2012 is $ 2062 ; the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ;"}, "exe_ans": 0.49964, "tfidftopn": {"text_0": "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for 2012 , 2011 , and 2010 , is as follows ( in millions ) : .", "text_1": "the company includes interest and penalties related to unrecognized tax benefits within the provision for income taxes ."}, "program_re": "divide(subtract(2062, 1375), 1375)", "model_input": [["table_1", "the beginning balance of 2012 is $ 1375 ; the beginning balance of 2011 is $ 943 ; the beginning balance of 2010 is $ 971 ;"], ["table_7", "the ending balance of 2012 is $ 2062 ; the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ;"], ["text_2", "as of september 29 , 2012 and september 24 , 2011 , the total amount of gross interest and penalties accrued was $ 401 million and $ 261 million , respectively , which is classified as non-current liabilities in the consolidated balance sheets ."]]}, "answers": ["50%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000902", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the gross unrecognized tax benefits between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "50%.", "rejected": "46%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in the gross unrecognized tax benefits <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in the gross unrecognized tax benefits <TIME>?", "original_question": "what was the percentage change in the gross unrecognized tax benefits between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"46%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011"}], "50%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_64.pdf-2", "qa": {"question": "what was the percentage change in the gross unrecognized tax benefits between 2011 and 2012?", "answer": "50%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2062", "arg2": "1375", "res": "687"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1375", "res": "50%"}], "program": "subtract(2062, 1375), divide(#0, 1375)", "gold_inds": {"table_7": "the ending balance of 2012 is $ 2062 ; the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ;"}, "exe_ans": 0.49964, "tfidftopn": {"text_0": "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for 2012 , 2011 , and 2010 , is as follows ( in millions ) : .", "text_1": "the company includes interest and penalties related to unrecognized tax benefits within the provision for income taxes ."}, "program_re": "divide(subtract(2062, 1375), 1375)", "model_input": [["table_1", "the beginning balance of 2012 is $ 1375 ; the beginning balance of 2011 is $ 943 ; the beginning balance of 2010 is $ 971 ;"], ["table_7", "the ending balance of 2012 is $ 2062 ; the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ;"], ["text_2", "as of september 29 , 2012 and september 24 , 2011 , the total amount of gross interest and penalties accrued was $ 401 million and $ 261 million , respectively , which is classified as non-current liabilities in the consolidated balance sheets ."]]}, "answers": ["50%"]}, "rejected_source": {"id": "AAPL/2012/page_64.pdf-1", "qa": {"question": "what was the percentage change in the gross unrecognized tax benefits between 2010 and 2011?", "answer": "46%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1375", "arg2": "943", "res": "432"}, {"op": "divide1-2", "arg1": "#0", "arg2": "943", "res": "46%"}], "program": "subtract(1375, 943), divide(#0, 943)", "gold_inds": {"table_7": "the ending balance of 2012 is $ 2062 ; the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ;"}, "exe_ans": 0.45811, "tfidftopn": {"text_0": "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for 2012 , 2011 , and 2010 , is as follows ( in millions ) : .", "text_1": "the company includes interest and penalties related to unrecognized tax benefits within the provision for income taxes ."}, "program_re": "divide(subtract(1375, 943), 943)", "model_input": [["text_0", "the aggregate changes in the balance of gross unrecognized tax benefits , which excludes interest and penalties , for 2012 , 2011 , and 2010 , is as follows ( in millions ) : ."], ["table_1", "the beginning balance of 2012 is $ 1375 ; the beginning balance of 2011 is $ 943 ; the beginning balance of 2010 is $ 971 ;"], ["table_7", "the ending balance of 2012 is $ 2062 ; the ending balance of 2011 is $ 1375 ; the ending balance of 2010 is $ 943 ;"]]}, "answers": ["46%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000903", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in inventory between 2006 and 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "28%.", "rejected": "64%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in inventory <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in inventory <TIME>?", "original_question": "what was the percentage change in inventory between 2006 and 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"64%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "28%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "AAPL/2007/page_51.pdf-4", "qa": {"question": "what was the percentage change in inventory between 2006 and 2007?", "answer": "28%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "346", "arg2": "270", "res": "76"}, {"op": "divide2-2", "arg1": "#0", "arg2": "270", "res": "28%"}], "program": "subtract(346, 270), divide(#0, 270)", "gold_inds": {"table_3": "the inventory of september 29 2007 is $ 346 ; the inventory of september 30 2006 is $ 270 ; the inventory of september 24 2005 is $ 165 ;"}, "exe_ans": 0.28148, "tfidftopn": {"text_6": "in september 2006 , the fasb issued sfas no .", "text_21": "as of september 29 , 2007 , the company had $ 15.4 billion in cash , cash equivalents , and short-term investments , an increase of $ 5.3 billion over the same balance at the end of september 30 , 2006 ."}, "program_re": "divide(subtract(346, 270), 270)", "model_input": [["table_2", "the accounts receivable net of september 29 2007 is $ 1637 ; the accounts receivable net of september 30 2006 is $ 1252 ; the accounts receivable net of september 24 2005 is $ 895 ;"], ["table_3", "the inventory of september 29 2007 is $ 346 ; the inventory of september 30 2006 is $ 270 ; the inventory of september 24 2005 is $ 165 ;"], ["table_5", "the annual operating cash flow of september 29 2007 is $ 5470 ; the annual operating cash flow of september 30 2006 is $ 2220 ; the annual operating cash flow of september 24 2005 is $ 2535 ;"]]}, "answers": ["28%"]}, "rejected_source": {"id": "AAPL/2007/page_51.pdf-1", "qa": {"question": "what was the percentage change in inventory between 2005 and 2006?", "answer": "64%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "270", "arg2": "165", "res": "105"}, {"op": "divide1-2", "arg1": "#0", "arg2": "165", "res": "64%"}], "program": "subtract(270, 165), divide(#0, 165)", "gold_inds": {"table_3": "the inventory of september 29 2007 is $ 346 ; the inventory of september 30 2006 is $ 270 ; the inventory of september 24 2005 is $ 165 ;"}, "exe_ans": 0.63636, "tfidftopn": {"text_6": "in september 2006 , the fasb issued sfas no .", "text_20": "liquidity and capital resources the following table presents selected financial information and statistics for each of the last three fiscal years ( dollars in millions ) : september 29 , september 30 , september 24 , 2007 2006 2005 ."}, "program_re": "divide(subtract(270, 165), 165)", "model_input": [["table_2", "the accounts receivable net of september 29 2007 is $ 1637 ; the accounts receivable net of september 30 2006 is $ 1252 ; the accounts receivable net of september 24 2005 is $ 895 ;"], ["table_3", "the inventory of september 29 2007 is $ 346 ; the inventory of september 30 2006 is $ 270 ; the inventory of september 24 2005 is $ 165 ;"], ["table_5", "the annual operating cash flow of september 29 2007 is $ 5470 ; the annual operating cash flow of september 30 2006 is $ 2220 ; the annual operating cash flow of september 24 2005 is $ 2535 ;"]]}, "answers": ["64%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000904", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in inventory between 2005 and 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "64%.", "rejected": "28%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in inventory <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in inventory <TIME>?", "original_question": "what was the percentage change in inventory between 2005 and 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"64%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "28%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "AAPL/2007/page_51.pdf-1", "qa": {"question": "what was the percentage change in inventory between 2005 and 2006?", "answer": "64%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "270", "arg2": "165", "res": "105"}, {"op": "divide1-2", "arg1": "#0", "arg2": "165", "res": "64%"}], "program": "subtract(270, 165), divide(#0, 165)", "gold_inds": {"table_3": "the inventory of september 29 2007 is $ 346 ; the inventory of september 30 2006 is $ 270 ; the inventory of september 24 2005 is $ 165 ;"}, "exe_ans": 0.63636, "tfidftopn": {"text_6": "in september 2006 , the fasb issued sfas no .", "text_20": "liquidity and capital resources the following table presents selected financial information and statistics for each of the last three fiscal years ( dollars in millions ) : september 29 , september 30 , september 24 , 2007 2006 2005 ."}, "program_re": "divide(subtract(270, 165), 165)", "model_input": [["table_2", "the accounts receivable net of september 29 2007 is $ 1637 ; the accounts receivable net of september 30 2006 is $ 1252 ; the accounts receivable net of september 24 2005 is $ 895 ;"], ["table_3", "the inventory of september 29 2007 is $ 346 ; the inventory of september 30 2006 is $ 270 ; the inventory of september 24 2005 is $ 165 ;"], ["table_5", "the annual operating cash flow of september 29 2007 is $ 5470 ; the annual operating cash flow of september 30 2006 is $ 2220 ; the annual operating cash flow of september 24 2005 is $ 2535 ;"]]}, "answers": ["64%"]}, "rejected_source": {"id": "AAPL/2007/page_51.pdf-4", "qa": {"question": "what was the percentage change in inventory between 2006 and 2007?", "answer": "28%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "346", "arg2": "270", "res": "76"}, {"op": "divide2-2", "arg1": "#0", "arg2": "270", "res": "28%"}], "program": "subtract(346, 270), divide(#0, 270)", "gold_inds": {"table_3": "the inventory of september 29 2007 is $ 346 ; the inventory of september 30 2006 is $ 270 ; the inventory of september 24 2005 is $ 165 ;"}, "exe_ans": 0.28148, "tfidftopn": {"text_6": "in september 2006 , the fasb issued sfas no .", "text_21": "as of september 29 , 2007 , the company had $ 15.4 billion in cash , cash equivalents , and short-term investments , an increase of $ 5.3 billion over the same balance at the end of september 30 , 2006 ."}, "program_re": "divide(subtract(346, 270), 270)", "model_input": [["table_2", "the accounts receivable net of september 29 2007 is $ 1637 ; the accounts receivable net of september 30 2006 is $ 1252 ; the accounts receivable net of september 24 2005 is $ 895 ;"], ["table_3", "the inventory of september 29 2007 is $ 346 ; the inventory of september 30 2006 is $ 270 ; the inventory of september 24 2005 is $ 165 ;"], ["table_5", "the annual operating cash flow of september 29 2007 is $ 5470 ; the annual operating cash flow of september 30 2006 is $ 2220 ; the annual operating cash flow of september 24 2005 is $ 2535 ;"]]}, "answers": ["28%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000905", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the potential gain if the notes and other long-term assets had been sold at the end of 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "38.", "rejected": "68.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAR || what is the potential gain if the notes and other long-term assets had been sold at the end of <TIME>?", "doc_prefix": "MAR", "base_question": "what is the potential gain if the notes and other long-term assets had been sold at the end of <TIME>?", "original_question": "what is the potential gain if the notes and other long-term assets had been sold at the end of 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"68": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "38": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "MAR/2005/page_52.pdf-1", "qa": {"question": "what is the potential gain if the notes and other long-term assets had been sold at the end of 2005?", "answer": "38", "explanation": "this represents an un realized asset on the balance sheet and would be a gain to the company if sold at fair value .", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1412", "arg2": "1374", "res": "38"}], "program": "subtract(1412, 1374)", "gold_inds": {"table_1": "( $ in millions ) the notes and other long-term assets of 2005 carrying amount is $ 1374 ; the notes and other long-term assets of 2005 fair value is $ 1412 ; the notes and other long-term assets of 2005 carrying amount is $ 1702 ; the notes and other long-term assets of fair value is $ 1770 ;"}, "exe_ans": 38.0, "tfidftopn": {"table_2": "( $ in millions ) The long-term debt and other long-term liabilities of 2005 carrying amount is $ 1636 ; The long-term debt and other long-term liabilities of 2005 fair value is $ 1685 ; The long-term debt and other long-term liabilities of 2005 carrying amount is $ 848 ; The long-term debt and other long-term liabilities of fair value is $ 875 ;", "text_3": "we determine valuations for long-term debt and other long-term liabilities based on quoted market prices or expected future payments dis- counted at risk-adjusted rates ."}, "program_re": "subtract(1412, 1374)", "model_input": [["text_1", "the fair values of non-current financial assets , liabilities and derivatives are shown in the following table. ."], ["table_1", "( $ in millions ) the notes and other long-term assets of 2005 carrying amount is $ 1374 ; the notes and other long-term assets of 2005 fair value is $ 1412 ; the notes and other long-term assets of 2005 carrying amount is $ 1702 ; the notes and other long-term assets of fair value is $ 1770 ;"], ["text_19", "the total amount for these swaps was recorded in other comprehensive income and was a net loss of $ 2 million during 2005 , which will be amortized to interest expense using the interest method over the life of the notes ."]]}, "answers": ["38"]}, "rejected_source": {"id": "MAR/2005/page_52.pdf-2", "qa": {"question": "what is the potential gain if the notes and other long-term assets had been sold at the end of 2004?", "answer": "68", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1770", "arg2": "1702", "res": "68"}], "program": "subtract(1770, 1702)", "gold_inds": {"table_1": "( $ in millions ) the notes and other long-term assets of 2005 carrying amount is $ 1374 ; the notes and other long-term assets of 2005 fair value is $ 1412 ; the notes and other long-term assets of 2005 carrying amount is $ 1702 ; the notes and other long-term assets of fair value is $ 1770 ;"}, "exe_ans": 68.0, "tfidftopn": {"table_2": "( $ in millions ) The long-term debt and other long-term liabilities of 2005 carrying amount is $ 1636 ; The long-term debt and other long-term liabilities of 2005 fair value is $ 1685 ; The long-term debt and other long-term liabilities of 2005 carrying amount is $ 848 ; The long-term debt and other long-term liabilities of fair value is $ 875 ;", "text_3": "we determine valuations for long-term debt and other long-term liabilities based on quoted market prices or expected future payments dis- counted at risk-adjusted rates ."}, "program_re": "subtract(1770, 1702)", "model_input": [["text_1", "the fair values of non-current financial assets , liabilities and derivatives are shown in the following table. ."], ["table_1", "( $ in millions ) the notes and other long-term assets of 2005 carrying amount is $ 1374 ; the notes and other long-term assets of 2005 fair value is $ 1412 ; the notes and other long-term assets of 2005 carrying amount is $ 1702 ; the notes and other long-term assets of fair value is $ 1770 ;"], ["text_19", "the total amount for these swaps was recorded in other comprehensive income and was a net loss of $ 2 million during 2005 , which will be amortized to interest expense using the interest method over the life of the notes ."]]}, "answers": ["68"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000906", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the potential gain if the notes and other long-term assets had been sold at the end of 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "68.", "rejected": "38.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAR || what is the potential gain if the notes and other long-term assets had been sold at the end of <TIME>?", "doc_prefix": "MAR", "base_question": "what is the potential gain if the notes and other long-term assets had been sold at the end of <TIME>?", "original_question": "what is the potential gain if the notes and other long-term assets had been sold at the end of 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"68": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "38": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "MAR/2005/page_52.pdf-2", "qa": {"question": "what is the potential gain if the notes and other long-term assets had been sold at the end of 2004?", "answer": "68", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1770", "arg2": "1702", "res": "68"}], "program": "subtract(1770, 1702)", "gold_inds": {"table_1": "( $ in millions ) the notes and other long-term assets of 2005 carrying amount is $ 1374 ; the notes and other long-term assets of 2005 fair value is $ 1412 ; the notes and other long-term assets of 2005 carrying amount is $ 1702 ; the notes and other long-term assets of fair value is $ 1770 ;"}, "exe_ans": 68.0, "tfidftopn": {"table_2": "( $ in millions ) The long-term debt and other long-term liabilities of 2005 carrying amount is $ 1636 ; The long-term debt and other long-term liabilities of 2005 fair value is $ 1685 ; The long-term debt and other long-term liabilities of 2005 carrying amount is $ 848 ; The long-term debt and other long-term liabilities of fair value is $ 875 ;", "text_3": "we determine valuations for long-term debt and other long-term liabilities based on quoted market prices or expected future payments dis- counted at risk-adjusted rates ."}, "program_re": "subtract(1770, 1702)", "model_input": [["text_1", "the fair values of non-current financial assets , liabilities and derivatives are shown in the following table. ."], ["table_1", "( $ in millions ) the notes and other long-term assets of 2005 carrying amount is $ 1374 ; the notes and other long-term assets of 2005 fair value is $ 1412 ; the notes and other long-term assets of 2005 carrying amount is $ 1702 ; the notes and other long-term assets of fair value is $ 1770 ;"], ["text_19", "the total amount for these swaps was recorded in other comprehensive income and was a net loss of $ 2 million during 2005 , which will be amortized to interest expense using the interest method over the life of the notes ."]]}, "answers": ["68"]}, "rejected_source": {"id": "MAR/2005/page_52.pdf-1", "qa": {"question": "what is the potential gain if the notes and other long-term assets had been sold at the end of 2005?", "answer": "38", "explanation": "this represents an un realized asset on the balance sheet and would be a gain to the company if sold at fair value .", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1412", "arg2": "1374", "res": "38"}], "program": "subtract(1412, 1374)", "gold_inds": {"table_1": "( $ in millions ) the notes and other long-term assets of 2005 carrying amount is $ 1374 ; the notes and other long-term assets of 2005 fair value is $ 1412 ; the notes and other long-term assets of 2005 carrying amount is $ 1702 ; the notes and other long-term assets of fair value is $ 1770 ;"}, "exe_ans": 38.0, "tfidftopn": {"table_2": "( $ in millions ) The long-term debt and other long-term liabilities of 2005 carrying amount is $ 1636 ; The long-term debt and other long-term liabilities of 2005 fair value is $ 1685 ; The long-term debt and other long-term liabilities of 2005 carrying amount is $ 848 ; The long-term debt and other long-term liabilities of fair value is $ 875 ;", "text_3": "we determine valuations for long-term debt and other long-term liabilities based on quoted market prices or expected future payments dis- counted at risk-adjusted rates ."}, "program_re": "subtract(1412, 1374)", "model_input": [["text_1", "the fair values of non-current financial assets , liabilities and derivatives are shown in the following table. ."], ["table_1", "( $ in millions ) the notes and other long-term assets of 2005 carrying amount is $ 1374 ; the notes and other long-term assets of 2005 fair value is $ 1412 ; the notes and other long-term assets of 2005 carrying amount is $ 1702 ; the notes and other long-term assets of fair value is $ 1770 ;"], ["text_19", "the total amount for these swaps was recorded in other comprehensive income and was a net loss of $ 2 million during 2005 , which will be amortized to interest expense using the interest method over the life of the notes ."]]}, "answers": ["38"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000907", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of gce in 2011 is in non-u.s . dollar-denominated assets?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "24%.", "rejected": "27%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of gce <TIME> is in non-u.s . dollar-denominated assets?", "doc_prefix": "GS", "base_question": "what percentage of gce <TIME> is in non-u.s . dollar-denominated assets?", "original_question": "what percentage of gce in 2011 is in non-u.s . dollar-denominated assets?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"24%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "27%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_83.pdf-2", "qa": {"question": "what percentage of gce in 2011 is in non-u.s . dollar-denominated assets?", "answer": "24%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "40291", "arg2": "165959", "res": "24%"}], "program": "divide(40291, 165959)", "gold_inds": {"table_1": "in millions the u.s . dollar-denominated of average for theyear ended december 2012 is $ 125111 ; the u.s . dollar-denominated of average for theyear ended december 2011 is $ 125668 ;", "table_3": "in millions the total of average for theyear ended december 2012 is $ 172095 ; the total of average for theyear ended december 2011 is $ 165959 ;", "table_2": "in millions the non-u.s . dollar-denominated of average for theyear ended december 2012 is 46984 ; the non-u.s . dollar-denominated of average for theyear ended december 2011 is 40291 ;"}, "exe_ans": 0.24278, "tfidftopn": {}, "program_re": "divide(40291, 165959)", "model_input": [["table_1", "in millions the u.s . dollar-denominated of average for theyear ended december 2012 is $ 125111 ; the u.s . dollar-denominated of average for theyear ended december 2011 is $ 125668 ;"], ["table_2", "in millions the non-u.s . dollar-denominated of average for theyear ended december 2012 is 46984 ; the non-u.s . dollar-denominated of average for theyear ended december 2011 is 40291 ;"], ["table_3", "in millions the total of average for theyear ended december 2012 is $ 172095 ; the total of average for theyear ended december 2011 is $ 165959 ;"]]}, "answers": ["24%"]}, "rejected_source": {"id": "GS/2012/page_83.pdf-1", "qa": {"question": "what percentage of gce in 2012 is in non-u.s . dollar-denominated assets?", "answer": "27%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "46984", "arg2": "172095", "res": "27%"}], "program": "divide(46984, 172095)", "gold_inds": {"table_1": "in millions the u.s . dollar-denominated of average for theyear ended december 2012 is $ 125111 ; the u.s . dollar-denominated of average for theyear ended december 2011 is $ 125668 ;", "table_3": "in millions the total of average for theyear ended december 2012 is $ 172095 ; the total of average for theyear ended december 2011 is $ 165959 ;", "table_2": "in millions the non-u.s . dollar-denominated of average for theyear ended december 2012 is 46984 ; the non-u.s . dollar-denominated of average for theyear ended december 2011 is 40291 ;"}, "exe_ans": 0.27301, "tfidftopn": {}, "program_re": "divide(46984, 172095)", "model_input": [["table_1", "in millions the u.s . dollar-denominated of average for theyear ended december 2012 is $ 125111 ; the u.s . dollar-denominated of average for theyear ended december 2011 is $ 125668 ;"], ["table_2", "in millions the non-u.s . dollar-denominated of average for theyear ended december 2012 is 46984 ; the non-u.s . dollar-denominated of average for theyear ended december 2011 is 40291 ;"], ["table_3", "in millions the total of average for theyear ended december 2012 is $ 172095 ; the total of average for theyear ended december 2011 is $ 165959 ;"]]}, "answers": ["27%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000908", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of gce in 2012 is in non-u.s . dollar-denominated assets?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "27%.", "rejected": "24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of gce <TIME> is in non-u.s . dollar-denominated assets?", "doc_prefix": "GS", "base_question": "what percentage of gce <TIME> is in non-u.s . dollar-denominated assets?", "original_question": "what percentage of gce in 2012 is in non-u.s . dollar-denominated assets?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"24%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "27%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_83.pdf-1", "qa": {"question": "what percentage of gce in 2012 is in non-u.s . dollar-denominated assets?", "answer": "27%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "46984", "arg2": "172095", "res": "27%"}], "program": "divide(46984, 172095)", "gold_inds": {"table_1": "in millions the u.s . dollar-denominated of average for theyear ended december 2012 is $ 125111 ; the u.s . dollar-denominated of average for theyear ended december 2011 is $ 125668 ;", "table_3": "in millions the total of average for theyear ended december 2012 is $ 172095 ; the total of average for theyear ended december 2011 is $ 165959 ;", "table_2": "in millions the non-u.s . dollar-denominated of average for theyear ended december 2012 is 46984 ; the non-u.s . dollar-denominated of average for theyear ended december 2011 is 40291 ;"}, "exe_ans": 0.27301, "tfidftopn": {}, "program_re": "divide(46984, 172095)", "model_input": [["table_1", "in millions the u.s . dollar-denominated of average for theyear ended december 2012 is $ 125111 ; the u.s . dollar-denominated of average for theyear ended december 2011 is $ 125668 ;"], ["table_2", "in millions the non-u.s . dollar-denominated of average for theyear ended december 2012 is 46984 ; the non-u.s . dollar-denominated of average for theyear ended december 2011 is 40291 ;"], ["table_3", "in millions the total of average for theyear ended december 2012 is $ 172095 ; the total of average for theyear ended december 2011 is $ 165959 ;"]]}, "answers": ["27%"]}, "rejected_source": {"id": "GS/2012/page_83.pdf-2", "qa": {"question": "what percentage of gce in 2011 is in non-u.s . dollar-denominated assets?", "answer": "24%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "40291", "arg2": "165959", "res": "24%"}], "program": "divide(40291, 165959)", "gold_inds": {"table_1": "in millions the u.s . dollar-denominated of average for theyear ended december 2012 is $ 125111 ; the u.s . dollar-denominated of average for theyear ended december 2011 is $ 125668 ;", "table_3": "in millions the total of average for theyear ended december 2012 is $ 172095 ; the total of average for theyear ended december 2011 is $ 165959 ;", "table_2": "in millions the non-u.s . dollar-denominated of average for theyear ended december 2012 is 46984 ; the non-u.s . dollar-denominated of average for theyear ended december 2011 is 40291 ;"}, "exe_ans": 0.24278, "tfidftopn": {}, "program_re": "divide(40291, 165959)", "model_input": [["table_1", "in millions the u.s . dollar-denominated of average for theyear ended december 2012 is $ 125111 ; the u.s . dollar-denominated of average for theyear ended december 2011 is $ 125668 ;"], ["table_2", "in millions the non-u.s . dollar-denominated of average for theyear ended december 2012 is 46984 ; the non-u.s . dollar-denominated of average for theyear ended december 2011 is 40291 ;"], ["table_3", "in millions the total of average for theyear ended december 2012 is $ 172095 ; the total of average for theyear ended december 2011 is $ 165959 ;"]]}, "answers": ["24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000909", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accrued warranties and related costs from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-19%.", "rejected": "51%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in accrued warranties and related costs <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in accrued warranties and related costs <TIME>?", "original_question": "what was the percentage change in accrued warranties and related costs from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"51%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-19%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AAPL/2007/page_84.pdf-3", "qa": {"question": "what was the percentage change in accrued warranties and related costs from 2006 to 2007?", "answer": "-19%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "230", "arg2": "284", "res": "-54"}, {"op": "divide2-2", "arg1": "#0", "arg2": "284", "res": "-19%"}], "program": "subtract(230, 284), divide(#0, 284)", "gold_inds": {"table_4": "the ending accrued warranty and related costs of 2007 is $ 230 ; the ending accrued warranty and related costs of 2006 is $ 284 ; the ending accrued warranty and related costs of 2005 is $ 188 ;"}, "exe_ans": -0.19014, "tfidftopn": {"table_1": "The beginning accrued warranty and related costs of 2007 is $ 284 ; The beginning accrued warranty and related costs of 2006 is $ 188 ; The beginning accrued warranty and related costs of 2005 is $ 105 ;", "table_3": "The accruals for product warranties of 2007 is 227 ; The accruals for product warranties of 2006 is 363 ; The accruals for product warranties of 2005 is 271 ;"}, "program_re": "divide(subtract(230, 284), 284)", "model_input": [["text_0", "notes to consolidated financial statements ( continued ) note 8 2014commitments and contingencies ( continued ) the following table reconciles changes in the company 2019s accrued warranties and related costs ( in millions ) : ."], ["table_1", "the beginning accrued warranty and related costs of 2007 is $ 284 ; the beginning accrued warranty and related costs of 2006 is $ 188 ; the beginning accrued warranty and related costs of 2005 is $ 105 ;"], ["table_4", "the ending accrued warranty and related costs of 2007 is $ 230 ; the ending accrued warranty and related costs of 2006 is $ 284 ; the ending accrued warranty and related costs of 2005 is $ 188 ;"]]}, "answers": ["-19%"]}, "rejected_source": {"id": "AAPL/2007/page_84.pdf-1", "qa": {"question": "what was the percentage change in accrued warranties and related costs from 2005 to 2006?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "284", "arg2": "188", "res": "96"}, {"op": "divide1-2", "arg1": "#0", "arg2": "188", "res": "51%"}], "program": "subtract(284, 188), divide(#0, 188)", "gold_inds": {"table_4": "the ending accrued warranty and related costs of 2007 is $ 230 ; the ending accrued warranty and related costs of 2006 is $ 284 ; the ending accrued warranty and related costs of 2005 is $ 188 ;"}, "exe_ans": 0.51064, "tfidftopn": {"table_1": "The beginning accrued warranty and related costs of 2007 is $ 284 ; The beginning accrued warranty and related costs of 2006 is $ 188 ; The beginning accrued warranty and related costs of 2005 is $ 105 ;", "table_3": "The accruals for product warranties of 2007 is 227 ; The accruals for product warranties of 2006 is 363 ; The accruals for product warranties of 2005 is 271 ;"}, "program_re": "divide(subtract(284, 188), 188)", "model_input": [["text_0", "notes to consolidated financial statements ( continued ) note 8 2014commitments and contingencies ( continued ) the following table reconciles changes in the company 2019s accrued warranties and related costs ( in millions ) : ."], ["table_1", "the beginning accrued warranty and related costs of 2007 is $ 284 ; the beginning accrued warranty and related costs of 2006 is $ 188 ; the beginning accrued warranty and related costs of 2005 is $ 105 ;"], ["table_4", "the ending accrued warranty and related costs of 2007 is $ 230 ; the ending accrued warranty and related costs of 2006 is $ 284 ; the ending accrued warranty and related costs of 2005 is $ 188 ;"]]}, "answers": ["51%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000910", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accrued warranties and related costs from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "51%.", "rejected": "-19%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in accrued warranties and related costs <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in accrued warranties and related costs <TIME>?", "original_question": "what was the percentage change in accrued warranties and related costs from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"51%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-19%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AAPL/2007/page_84.pdf-1", "qa": {"question": "what was the percentage change in accrued warranties and related costs from 2005 to 2006?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "284", "arg2": "188", "res": "96"}, {"op": "divide1-2", "arg1": "#0", "arg2": "188", "res": "51%"}], "program": "subtract(284, 188), divide(#0, 188)", "gold_inds": {"table_4": "the ending accrued warranty and related costs of 2007 is $ 230 ; the ending accrued warranty and related costs of 2006 is $ 284 ; the ending accrued warranty and related costs of 2005 is $ 188 ;"}, "exe_ans": 0.51064, "tfidftopn": {"table_1": "The beginning accrued warranty and related costs of 2007 is $ 284 ; The beginning accrued warranty and related costs of 2006 is $ 188 ; The beginning accrued warranty and related costs of 2005 is $ 105 ;", "table_3": "The accruals for product warranties of 2007 is 227 ; The accruals for product warranties of 2006 is 363 ; The accruals for product warranties of 2005 is 271 ;"}, "program_re": "divide(subtract(284, 188), 188)", "model_input": [["text_0", "notes to consolidated financial statements ( continued ) note 8 2014commitments and contingencies ( continued ) the following table reconciles changes in the company 2019s accrued warranties and related costs ( in millions ) : ."], ["table_1", "the beginning accrued warranty and related costs of 2007 is $ 284 ; the beginning accrued warranty and related costs of 2006 is $ 188 ; the beginning accrued warranty and related costs of 2005 is $ 105 ;"], ["table_4", "the ending accrued warranty and related costs of 2007 is $ 230 ; the ending accrued warranty and related costs of 2006 is $ 284 ; the ending accrued warranty and related costs of 2005 is $ 188 ;"]]}, "answers": ["51%"]}, "rejected_source": {"id": "AAPL/2007/page_84.pdf-3", "qa": {"question": "what was the percentage change in accrued warranties and related costs from 2006 to 2007?", "answer": "-19%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "230", "arg2": "284", "res": "-54"}, {"op": "divide2-2", "arg1": "#0", "arg2": "284", "res": "-19%"}], "program": "subtract(230, 284), divide(#0, 284)", "gold_inds": {"table_4": "the ending accrued warranty and related costs of 2007 is $ 230 ; the ending accrued warranty and related costs of 2006 is $ 284 ; the ending accrued warranty and related costs of 2005 is $ 188 ;"}, "exe_ans": -0.19014, "tfidftopn": {"table_1": "The beginning accrued warranty and related costs of 2007 is $ 284 ; The beginning accrued warranty and related costs of 2006 is $ 188 ; The beginning accrued warranty and related costs of 2005 is $ 105 ;", "table_3": "The accruals for product warranties of 2007 is 227 ; The accruals for product warranties of 2006 is 363 ; The accruals for product warranties of 2005 is 271 ;"}, "program_re": "divide(subtract(230, 284), 284)", "model_input": [["text_0", "notes to consolidated financial statements ( continued ) note 8 2014commitments and contingencies ( continued ) the following table reconciles changes in the company 2019s accrued warranties and related costs ( in millions ) : ."], ["table_1", "the beginning accrued warranty and related costs of 2007 is $ 284 ; the beginning accrued warranty and related costs of 2006 is $ 188 ; the beginning accrued warranty and related costs of 2005 is $ 105 ;"], ["table_4", "the ending accrued warranty and related costs of 2007 is $ 230 ; the ending accrued warranty and related costs of 2006 is $ 284 ; the ending accrued warranty and related costs of 2005 is $ 188 ;"]]}, "answers": ["-19%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000911", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in non-cash stock-based compensation expense from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-13%.", "rejected": "14%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the percentage change in non-cash stock-based compensation expense <TIME>?", "doc_prefix": "LMT", "base_question": "what was the percentage change in non-cash stock-based compensation expense <TIME>?", "original_question": "what was the percentage change in non-cash stock-based compensation expense from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-13%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "LMT/2014/page_93.pdf-2", "qa": {"question": "what was the percentage change in non-cash stock-based compensation expense from 2013 to 2014?", "answer": "-13%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus2-1", "arg1": "164", "arg2": "189", "res": "-25"}, {"op": "divide2-2", "arg1": "#0", "arg2": "189", "res": "-13%"}], "program": "subtract(164, 189), divide(#0, 189)", "gold_inds": {"text_0": "note 11 2013 stock-based compensation during 2014 , 2013 and 2012 , we recorded non-cash stock-based compensation expense totaling $ 164 million , $ 189 million and $ 167 million , which is included as a component of other unallocated , net on our statements of earnings ."}, "exe_ans": -0.13228, "tfidftopn": {"text_12": "at december 31 , 2014 , 7.8 million of the shares reserved for issuance remained available for grant under our stock-based compensation plans .", "text_5": "stock-based compensation plans under plans approved by our stockholders , we are authorized to grant key employees stock-based incentive awards , including options to purchase common stock , stock appreciation rights , restricted stock units ( rsus ) , performance stock units ( psus ) or other stock units ."}, "program_re": "divide(subtract(164, 189), 189)", "model_input": [["text_0", "note 11 2013 stock-based compensation during 2014 , 2013 and 2012 , we recorded non-cash stock-based compensation expense totaling $ 164 million , $ 189 million and $ 167 million , which is included as a component of other unallocated , net on our statements of earnings ."], ["table_9", "the nonvested at december 31 2013 of number of rsus ( in thousands ) is 3859 ; the nonvested at december 31 2013 of weighted average grant-date fair value pershare is $ 82.42 ;"], ["table_13", "the nonvested at december 31 2014 of number of rsus ( in thousands ) is 2326 ; the nonvested at december 31 2014 of weighted average grant-date fair value pershare is $ 97.80 ;"]]}, "answers": ["-13%"]}, "rejected_source": {"id": "LMT/2014/page_93.pdf-1", "qa": {"question": "what was the percentage change in non-cash stock-based compensation expense from 2012 to 2013?", "answer": "14%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "189", "arg2": "167", "res": "22"}, {"op": "divide1-2", "arg1": "#0", "arg2": "167", "res": "13%"}], "program": "subtract(189, 167), divide(#0, 167)", "gold_inds": {"text_0": "note 11 2013 stock-based compensation during 2014 , 2013 and 2012 , we recorded non-cash stock-based compensation expense totaling $ 164 million , $ 189 million and $ 167 million , which is included as a component of other unallocated , net on our statements of earnings ."}, "exe_ans": 0.13174, "tfidftopn": {"text_3": "we received cash from the exercise of stock options totaling $ 308 million , $ 827 million and $ 440 million during 2014 , 2013 and 2012 .", "text_4": "in addition , our income tax liabilities for 2014 , 2013 and 2012 were reduced by $ 215 million , $ 158 million , $ 96 million due to recognized tax benefits on stock-based compensation arrangements ."}, "program_re": "divide(subtract(189, 167), 167)", "model_input": [["text_0", "note 11 2013 stock-based compensation during 2014 , 2013 and 2012 , we recorded non-cash stock-based compensation expense totaling $ 164 million , $ 189 million and $ 167 million , which is included as a component of other unallocated , net on our statements of earnings ."], ["table_5", "the nonvested at december 31 2012 of number of rsus ( in thousands ) is 4822 ; the nonvested at december 31 2012 of weighted average grant-date fair value pershare is $ 79.10 ;"], ["table_9", "the nonvested at december 31 2013 of number of rsus ( in thousands ) is 3859 ; the nonvested at december 31 2013 of weighted average grant-date fair value pershare is $ 82.42 ;"]]}, "answers": ["14%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000912", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in non-cash stock-based compensation expense from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "14%.", "rejected": "-13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the percentage change in non-cash stock-based compensation expense <TIME>?", "doc_prefix": "LMT", "base_question": "what was the percentage change in non-cash stock-based compensation expense <TIME>?", "original_question": "what was the percentage change in non-cash stock-based compensation expense from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-13%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "LMT/2014/page_93.pdf-1", "qa": {"question": "what was the percentage change in non-cash stock-based compensation expense from 2012 to 2013?", "answer": "14%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "189", "arg2": "167", "res": "22"}, {"op": "divide1-2", "arg1": "#0", "arg2": "167", "res": "13%"}], "program": "subtract(189, 167), divide(#0, 167)", "gold_inds": {"text_0": "note 11 2013 stock-based compensation during 2014 , 2013 and 2012 , we recorded non-cash stock-based compensation expense totaling $ 164 million , $ 189 million and $ 167 million , which is included as a component of other unallocated , net on our statements of earnings ."}, "exe_ans": 0.13174, "tfidftopn": {"text_3": "we received cash from the exercise of stock options totaling $ 308 million , $ 827 million and $ 440 million during 2014 , 2013 and 2012 .", "text_4": "in addition , our income tax liabilities for 2014 , 2013 and 2012 were reduced by $ 215 million , $ 158 million , $ 96 million due to recognized tax benefits on stock-based compensation arrangements ."}, "program_re": "divide(subtract(189, 167), 167)", "model_input": [["text_0", "note 11 2013 stock-based compensation during 2014 , 2013 and 2012 , we recorded non-cash stock-based compensation expense totaling $ 164 million , $ 189 million and $ 167 million , which is included as a component of other unallocated , net on our statements of earnings ."], ["table_5", "the nonvested at december 31 2012 of number of rsus ( in thousands ) is 4822 ; the nonvested at december 31 2012 of weighted average grant-date fair value pershare is $ 79.10 ;"], ["table_9", "the nonvested at december 31 2013 of number of rsus ( in thousands ) is 3859 ; the nonvested at december 31 2013 of weighted average grant-date fair value pershare is $ 82.42 ;"]]}, "answers": ["14%"]}, "rejected_source": {"id": "LMT/2014/page_93.pdf-2", "qa": {"question": "what was the percentage change in non-cash stock-based compensation expense from 2013 to 2014?", "answer": "-13%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus2-1", "arg1": "164", "arg2": "189", "res": "-25"}, {"op": "divide2-2", "arg1": "#0", "arg2": "189", "res": "-13%"}], "program": "subtract(164, 189), divide(#0, 189)", "gold_inds": {"text_0": "note 11 2013 stock-based compensation during 2014 , 2013 and 2012 , we recorded non-cash stock-based compensation expense totaling $ 164 million , $ 189 million and $ 167 million , which is included as a component of other unallocated , net on our statements of earnings ."}, "exe_ans": -0.13228, "tfidftopn": {"text_12": "at december 31 , 2014 , 7.8 million of the shares reserved for issuance remained available for grant under our stock-based compensation plans .", "text_5": "stock-based compensation plans under plans approved by our stockholders , we are authorized to grant key employees stock-based incentive awards , including options to purchase common stock , stock appreciation rights , restricted stock units ( rsus ) , performance stock units ( psus ) or other stock units ."}, "program_re": "divide(subtract(164, 189), 189)", "model_input": [["text_0", "note 11 2013 stock-based compensation during 2014 , 2013 and 2012 , we recorded non-cash stock-based compensation expense totaling $ 164 million , $ 189 million and $ 167 million , which is included as a component of other unallocated , net on our statements of earnings ."], ["table_9", "the nonvested at december 31 2013 of number of rsus ( in thousands ) is 3859 ; the nonvested at december 31 2013 of weighted average grant-date fair value pershare is $ 82.42 ;"], ["table_13", "the nonvested at december 31 2014 of number of rsus ( in thousands ) is 2326 ; the nonvested at december 31 2014 of weighted average grant-date fair value pershare is $ 97.80 ;"]]}, "answers": ["-13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000913", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash from operations between 2009 and 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "33%.", "rejected": "35%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAR || what was the percentage change in cash from operations <TIME>?", "doc_prefix": "MAR", "base_question": "what was the percentage change in cash from operations <TIME>?", "original_question": "what was the percentage change in cash from operations between 2009 and 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "between 2009 and 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"35%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}], "33%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "between 2009 and 2010"}]}, "chosen_source": {"id": "MAR/2010/page_55.pdf-2", "qa": {"question": "what was the percentage change in cash from operations between 2009 and 2010?", "answer": "33%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1151", "arg2": "868", "res": "283"}, {"op": "divide2-2", "arg1": "#0", "arg2": "868", "res": "33%"}], "program": "subtract(1151, 868), divide(#0, 868)", "gold_inds": {"table_1": "( $ in millions ) the cash from operations of 2010 is $ 1151 ; the cash from operations of 2009 is $ 868 ; the cash from operations of 2008 is $ 641 ;"}, "exe_ans": 0.32604, "tfidftopn": {"text_19": "cash from operations cash from operations , depreciation expense , and amortization expense for the last three fiscal years are as follows : ( $ in millions ) 2010 2009 2008 .", "text_13": "we believe the credit facility , together with cash we expect to generate from operations and our ability to raise capital , remains adequate to meet our short-term and long-term liquidity requirements , finance our long-term growth plans , meet debt service , and fulfill other cash requirements ."}, "program_re": "divide(subtract(1151, 868), 868)", "model_input": [["text_13", "we believe the credit facility , together with cash we expect to generate from operations and our ability to raise capital , remains adequate to meet our short-term and long-term liquidity requirements , finance our long-term growth plans , meet debt service , and fulfill other cash requirements ."], ["text_19", "cash from operations cash from operations , depreciation expense , and amortization expense for the last three fiscal years are as follows : ( $ in millions ) 2010 2009 2008 ."], ["table_1", "( $ in millions ) the cash from operations of 2010 is $ 1151 ; the cash from operations of 2009 is $ 868 ; the cash from operations of 2008 is $ 641 ;"]]}, "answers": ["33%"]}, "rejected_source": {"id": "MAR/2010/page_55.pdf-1", "qa": {"question": "what was the percentage change in cash from operations between 2008 and 2009?", "answer": "35%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "868", "arg2": "641", "res": "227"}, {"op": "divide1-2", "arg1": "#0", "arg2": "641", "res": "35%"}], "program": "subtract(868, 641), divide(#0, 641)", "gold_inds": {"table_1": "( $ in millions ) the cash from operations of 2010 is $ 1151 ; the cash from operations of 2009 is $ 868 ; the cash from operations of 2008 is $ 641 ;"}, "exe_ans": 0.35413, "tfidftopn": {"text_19": "cash from operations cash from operations , depreciation expense , and amortization expense for the last three fiscal years are as follows : ( $ in millions ) 2010 2009 2008 .", "text_13": "we believe the credit facility , together with cash we expect to generate from operations and our ability to raise capital , remains adequate to meet our short-term and long-term liquidity requirements , finance our long-term growth plans , meet debt service , and fulfill other cash requirements ."}, "program_re": "divide(subtract(868, 641), 641)", "model_input": [["text_13", "we believe the credit facility , together with cash we expect to generate from operations and our ability to raise capital , remains adequate to meet our short-term and long-term liquidity requirements , finance our long-term growth plans , meet debt service , and fulfill other cash requirements ."], ["text_19", "cash from operations cash from operations , depreciation expense , and amortization expense for the last three fiscal years are as follows : ( $ in millions ) 2010 2009 2008 ."], ["table_1", "( $ in millions ) the cash from operations of 2010 is $ 1151 ; the cash from operations of 2009 is $ 868 ; the cash from operations of 2008 is $ 641 ;"]]}, "answers": ["35%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000914", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash from operations between 2008 and 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "35%.", "rejected": "33%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAR || what was the percentage change in cash from operations <TIME>?", "doc_prefix": "MAR", "base_question": "what was the percentage change in cash from operations <TIME>?", "original_question": "what was the percentage change in cash from operations between 2008 and 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"35%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}], "33%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "between 2009 and 2010"}]}, "chosen_source": {"id": "MAR/2010/page_55.pdf-1", "qa": {"question": "what was the percentage change in cash from operations between 2008 and 2009?", "answer": "35%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "868", "arg2": "641", "res": "227"}, {"op": "divide1-2", "arg1": "#0", "arg2": "641", "res": "35%"}], "program": "subtract(868, 641), divide(#0, 641)", "gold_inds": {"table_1": "( $ in millions ) the cash from operations of 2010 is $ 1151 ; the cash from operations of 2009 is $ 868 ; the cash from operations of 2008 is $ 641 ;"}, "exe_ans": 0.35413, "tfidftopn": {"text_19": "cash from operations cash from operations , depreciation expense , and amortization expense for the last three fiscal years are as follows : ( $ in millions ) 2010 2009 2008 .", "text_13": "we believe the credit facility , together with cash we expect to generate from operations and our ability to raise capital , remains adequate to meet our short-term and long-term liquidity requirements , finance our long-term growth plans , meet debt service , and fulfill other cash requirements ."}, "program_re": "divide(subtract(868, 641), 641)", "model_input": [["text_13", "we believe the credit facility , together with cash we expect to generate from operations and our ability to raise capital , remains adequate to meet our short-term and long-term liquidity requirements , finance our long-term growth plans , meet debt service , and fulfill other cash requirements ."], ["text_19", "cash from operations cash from operations , depreciation expense , and amortization expense for the last three fiscal years are as follows : ( $ in millions ) 2010 2009 2008 ."], ["table_1", "( $ in millions ) the cash from operations of 2010 is $ 1151 ; the cash from operations of 2009 is $ 868 ; the cash from operations of 2008 is $ 641 ;"]]}, "answers": ["35%"]}, "rejected_source": {"id": "MAR/2010/page_55.pdf-2", "qa": {"question": "what was the percentage change in cash from operations between 2009 and 2010?", "answer": "33%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1151", "arg2": "868", "res": "283"}, {"op": "divide2-2", "arg1": "#0", "arg2": "868", "res": "33%"}], "program": "subtract(1151, 868), divide(#0, 868)", "gold_inds": {"table_1": "( $ in millions ) the cash from operations of 2010 is $ 1151 ; the cash from operations of 2009 is $ 868 ; the cash from operations of 2008 is $ 641 ;"}, "exe_ans": 0.32604, "tfidftopn": {"text_19": "cash from operations cash from operations , depreciation expense , and amortization expense for the last three fiscal years are as follows : ( $ in millions ) 2010 2009 2008 .", "text_13": "we believe the credit facility , together with cash we expect to generate from operations and our ability to raise capital , remains adequate to meet our short-term and long-term liquidity requirements , finance our long-term growth plans , meet debt service , and fulfill other cash requirements ."}, "program_re": "divide(subtract(1151, 868), 868)", "model_input": [["text_13", "we believe the credit facility , together with cash we expect to generate from operations and our ability to raise capital , remains adequate to meet our short-term and long-term liquidity requirements , finance our long-term growth plans , meet debt service , and fulfill other cash requirements ."], ["text_19", "cash from operations cash from operations , depreciation expense , and amortization expense for the last three fiscal years are as follows : ( $ in millions ) 2010 2009 2008 ."], ["table_1", "( $ in millions ) the cash from operations of 2010 is $ 1151 ; the cash from operations of 2009 is $ 868 ; the cash from operations of 2008 is $ 641 ;"]]}, "answers": ["33%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000915", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-27.1%.", "rejected": "37.83%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"37.83%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-27.1%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "DISCA/2018/page_39.pdf-3", "qa": {"question": "what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , 2018?", "answer": "-27.1%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "72.90", "arg2": "const_100", "res": "-27.1"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "-27.1%"}], "program": "subtract(72.90, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of december 312013 is $ 100.00 ; the discb of december 312014 is $ 80.56 ; the discb of december 312015 is $ 58.82 ; the discb of december 312016 is $ 63.44 ; the discb of december 312017 is $ 53.97 ; the discb of december 312018 is $ 72.90 ;"}, "exe_ans": -0.271, "tfidftopn": {"text_12": "december 31 , december 31 , december 31 , december 31 , december 31 , december 31 .", "text_11": "and excluding both acquired companies for the entire five year period ."}, "program_re": "divide(subtract(72.90, const_100), const_100)", "model_input": [["text_6", "the graph assumes $ 100 originally invested on december 31 , 2013 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2014 , 2015 , 2016 , 2017 and 2018 ."], ["table_2", "the discb of december 312013 is $ 100.00 ; the discb of december 312014 is $ 80.56 ; the discb of december 312015 is $ 58.82 ; the discb of december 312016 is $ 63.44 ; the discb of december 312017 is $ 53.97 ; the discb of december 312018 is $ 72.90 ;"], ["table_4", "the s&p 500 of december 312013 is $ 100.00 ; the s&p 500 of december 312014 is $ 111.39 ; the s&p 500 of december 312015 is $ 110.58 ; the s&p 500 of december 312016 is $ 121.13 ; the s&p 500 of december 312017 is $ 144.65 ; the s&p 500 of december 312018 is $ 135.63 ;"]]}, "answers": ["-27.1%"]}, "rejected_source": {"id": "DISCA/2016/page_30.pdf-4", "qa": {"question": "what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , 2016?", "answer": "37.83%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "137.83", "arg2": "const_100", "res": "37.83"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "37.83%"}], "program": "subtract(137.83, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of december 312011 is $ 100.00 ; the discb of december 312012 is $ 150.40 ; the discb of december 312013 is $ 217.35 ; the discb of december 312014 is $ 175.04 ; the discb of december 312015 is $ 127.80 ; the discb of december 312016 is $ 137.83 ;"}, "exe_ans": 0.3783, "tfidftopn": {"text_0": "december 31 , december 31 , december 31 , december 31 , december 31 , december 31 .", "text_6": "the selected statement of operations information for each of the two years ended december 31 , 2013 and 2012 and the selected balance sheet information as of december 31 , 2014 , 2013 and 2012 have been derived from financial statements not included in this annual report on form 10-k ."}, "program_re": "divide(subtract(137.83, const_100), const_100)", "model_input": [["table_2", "the discb of december 312011 is $ 100.00 ; the discb of december 312012 is $ 150.40 ; the discb of december 312013 is $ 217.35 ; the discb of december 312014 is $ 175.04 ; the discb of december 312015 is $ 127.80 ; the discb of december 312016 is $ 137.83 ;"], ["table_3", "the disck of december 312011 is $ 100.00 ; the disck of december 312012 is $ 155.17 ; the disck of december 312013 is $ 222.44 ; the disck of december 312014 is $ 178.89 ; the disck of december 312015 is $ 133.79 ; the disck of december 312016 is $ 142.07 ;"], ["table_4", "the s&p 500 of december 312011 is $ 100.00 ; the s&p 500 of december 312012 is $ 113.41 ; the s&p 500 of december 312013 is $ 146.98 ; the s&p 500 of december 312014 is $ 163.72 ; the s&p 500 of december 312015 is $ 162.53 ; the s&p 500 of december 312016 is $ 178.02 ;"]]}, "answers": ["37.83%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000916", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "37.83%.", "rejected": "-27.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"37.83%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-27.1%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "DISCA/2016/page_30.pdf-4", "qa": {"question": "what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , 2016?", "answer": "37.83%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "137.83", "arg2": "const_100", "res": "37.83"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "37.83%"}], "program": "subtract(137.83, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of december 312011 is $ 100.00 ; the discb of december 312012 is $ 150.40 ; the discb of december 312013 is $ 217.35 ; the discb of december 312014 is $ 175.04 ; the discb of december 312015 is $ 127.80 ; the discb of december 312016 is $ 137.83 ;"}, "exe_ans": 0.3783, "tfidftopn": {"text_0": "december 31 , december 31 , december 31 , december 31 , december 31 , december 31 .", "text_6": "the selected statement of operations information for each of the two years ended december 31 , 2013 and 2012 and the selected balance sheet information as of december 31 , 2014 , 2013 and 2012 have been derived from financial statements not included in this annual report on form 10-k ."}, "program_re": "divide(subtract(137.83, const_100), const_100)", "model_input": [["table_2", "the discb of december 312011 is $ 100.00 ; the discb of december 312012 is $ 150.40 ; the discb of december 312013 is $ 217.35 ; the discb of december 312014 is $ 175.04 ; the discb of december 312015 is $ 127.80 ; the discb of december 312016 is $ 137.83 ;"], ["table_3", "the disck of december 312011 is $ 100.00 ; the disck of december 312012 is $ 155.17 ; the disck of december 312013 is $ 222.44 ; the disck of december 312014 is $ 178.89 ; the disck of december 312015 is $ 133.79 ; the disck of december 312016 is $ 142.07 ;"], ["table_4", "the s&p 500 of december 312011 is $ 100.00 ; the s&p 500 of december 312012 is $ 113.41 ; the s&p 500 of december 312013 is $ 146.98 ; the s&p 500 of december 312014 is $ 163.72 ; the s&p 500 of december 312015 is $ 162.53 ; the s&p 500 of december 312016 is $ 178.02 ;"]]}, "answers": ["37.83%"]}, "rejected_source": {"id": "DISCA/2018/page_39.pdf-3", "qa": {"question": "what was the percentage cumulative total shareholder return on discb for the five year period ended december 31 , 2018?", "answer": "-27.1%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "72.90", "arg2": "const_100", "res": "-27.1"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_100", "res": "-27.1%"}], "program": "subtract(72.90, const_100), divide(#0, const_100)", "gold_inds": {"table_2": "the discb of december 312013 is $ 100.00 ; the discb of december 312014 is $ 80.56 ; the discb of december 312015 is $ 58.82 ; the discb of december 312016 is $ 63.44 ; the discb of december 312017 is $ 53.97 ; the discb of december 312018 is $ 72.90 ;"}, "exe_ans": -0.271, "tfidftopn": {"text_12": "december 31 , december 31 , december 31 , december 31 , december 31 , december 31 .", "text_11": "and excluding both acquired companies for the entire five year period ."}, "program_re": "divide(subtract(72.90, const_100), const_100)", "model_input": [["text_6", "the graph assumes $ 100 originally invested on december 31 , 2013 in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the years ended december 31 , 2014 , 2015 , 2016 , 2017 and 2018 ."], ["table_2", "the discb of december 312013 is $ 100.00 ; the discb of december 312014 is $ 80.56 ; the discb of december 312015 is $ 58.82 ; the discb of december 312016 is $ 63.44 ; the discb of december 312017 is $ 53.97 ; the discb of december 312018 is $ 72.90 ;"], ["table_4", "the s&p 500 of december 312013 is $ 100.00 ; the s&p 500 of december 312014 is $ 111.39 ; the s&p 500 of december 312015 is $ 110.58 ; the s&p 500 of december 312016 is $ 121.13 ; the s&p 500 of december 312017 is $ 144.65 ; the s&p 500 of december 312018 is $ 135.63 ;"]]}, "answers": ["-27.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000917", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of the 2015 ratings profile of derivative receivables had a rating equivalent for junk ratings?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "19.", "rejected": "20.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percentage of the <TIME> ratings profile of derivative receivables had a rating equivalent for junk ratings?", "doc_prefix": "JPM", "base_question": "what percentage of the <TIME> ratings profile of derivative receivables had a rating equivalent for junk ratings?", "original_question": "what percentage of the 2015 ratings profile of derivative receivables had a rating equivalent for junk ratings?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"19": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "20": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "JPM/2016/page_141.pdf-2", "qa": {"question": "what percentage of the 2015 ratings profile of derivative receivables had a rating equivalent for junk ratings?", "answer": "19", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "17", "arg2": "const_2", "res": "19"}], "program": "add(17, const_2)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 7308 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 18 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7500 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 17 ;"}, "exe_ans": 19.0, "tfidftopn": {"text_9": "ratings profile of derivative receivables rating equivalent 2016 2015 ( a ) december 31 , ( in millions , except ratios ) exposure net of all collateral % (  % ) of exposure net of all collateral exposure net of all collateral % (  % ) of exposure net of all collateral .", "text_7": "exposure profile of derivatives measures december 31 , 2016 ( in billions ) the following table summarizes the ratings profile by derivative counterparty of the firm 2019s derivative receivables , including credit derivatives , net of all collateral , at the dates indicated ."}, "program_re": "add(17, const_2)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 7308 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 18 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7500 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 17 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 984 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 824 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 41373 ; the total of rating equivalent % ( % ) of exposure netof all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 43097 ; the total of % ( % ) of exposure netof all collateral is 100% ( 100 % ) ;"]]}, "answers": ["19"]}, "rejected_source": {"id": "JPM/2016/page_141.pdf-3", "qa": {"question": "what percentage of the 2016 ratings profile of derivative receivables had a rating equivalent for junk ratings?", "answer": "20", "explanation": "junk is below bbb+/baa1 to bbb-/baa3", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "18", "arg2": "2", "res": "20"}], "program": "add(18, 2)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 7308 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 18 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7500 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 17 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 984 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 824 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"}, "exe_ans": 20.0, "tfidftopn": {"text_7": "exposure profile of derivatives measures december 31 , 2016 ( in billions ) the following table summarizes the ratings profile by derivative counterparty of the firm 2019s derivative receivables , including credit derivatives , net of all collateral , at the dates indicated ."}, "program_re": "add(18, 2)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 7308 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 18 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7500 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 17 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 984 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 824 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 41373 ; the total of rating equivalent % ( % ) of exposure netof all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 43097 ; the total of % ( % ) of exposure netof all collateral is 100% ( 100 % ) ;"]]}, "answers": ["20"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000918", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of the 2016 ratings profile of derivative receivables had a rating equivalent for junk ratings?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "20.", "rejected": "19.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percentage of the <TIME> ratings profile of derivative receivables had a rating equivalent for junk ratings?", "doc_prefix": "JPM", "base_question": "what percentage of the <TIME> ratings profile of derivative receivables had a rating equivalent for junk ratings?", "original_question": "what percentage of the 2016 ratings profile of derivative receivables had a rating equivalent for junk ratings?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"19": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "20": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "JPM/2016/page_141.pdf-3", "qa": {"question": "what percentage of the 2016 ratings profile of derivative receivables had a rating equivalent for junk ratings?", "answer": "20", "explanation": "junk is below bbb+/baa1 to bbb-/baa3", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "18", "arg2": "2", "res": "20"}], "program": "add(18, 2)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 7308 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 18 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7500 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 17 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 984 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 824 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"}, "exe_ans": 20.0, "tfidftopn": {"text_7": "exposure profile of derivatives measures december 31 , 2016 ( in billions ) the following table summarizes the ratings profile by derivative counterparty of the firm 2019s derivative receivables , including credit derivatives , net of all collateral , at the dates indicated ."}, "program_re": "add(18, 2)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 7308 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 18 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7500 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 17 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 984 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 824 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 41373 ; the total of rating equivalent % ( % ) of exposure netof all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 43097 ; the total of % ( % ) of exposure netof all collateral is 100% ( 100 % ) ;"]]}, "answers": ["20"]}, "rejected_source": {"id": "JPM/2016/page_141.pdf-2", "qa": {"question": "what percentage of the 2015 ratings profile of derivative receivables had a rating equivalent for junk ratings?", "answer": "19", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "17", "arg2": "const_2", "res": "19"}], "program": "add(17, const_2)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 7308 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 18 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7500 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 17 ;"}, "exe_ans": 19.0, "tfidftopn": {"text_9": "ratings profile of derivative receivables rating equivalent 2016 2015 ( a ) december 31 , ( in millions , except ratios ) exposure net of all collateral % (  % ) of exposure net of all collateral exposure net of all collateral % (  % ) of exposure net of all collateral .", "text_7": "exposure profile of derivatives measures december 31 , 2016 ( in billions ) the following table summarizes the ratings profile by derivative counterparty of the firm 2019s derivative receivables , including credit derivatives , net of all collateral , at the dates indicated ."}, "program_re": "add(17, const_2)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 7308 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure netof all collateral is 18 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 7500 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure netof all collateral is 17 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 984 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure netof all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 824 ; the ccc+/caa1 and below of % ( % ) of exposure netof all collateral is 2 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 41373 ; the total of rating equivalent % ( % ) of exposure netof all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 43097 ; the total of % ( % ) of exposure netof all collateral is 100% ( 100 % ) ;"]]}, "answers": ["19"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000919", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: unrecognized tax benefits change by what percent between 2017 and 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "17%.", "rejected": "92%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || unrecognized tax benefits change by what percent <TIME>?", "doc_prefix": "IP", "base_question": "unrecognized tax benefits change by what percent <TIME>?", "original_question": "unrecognized tax benefits change by what percent between 2017 and 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"92%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "17%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "IP/2018/page_83.pdf-1", "qa": {"question": "unrecognized tax benefits change by what percent between 2017 and 2018?", "answer": "17%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "220", "arg2": "188", "res": "32"}, {"op": "divide1-2", "arg1": "#0", "arg2": "188", "res": "17%"}], "program": "subtract(220, 188), divide(#0, 188)", "gold_inds": {"table_8": "in millions the balance at december 31 of 2018 is $ -220 ( 220 ) ; the balance at december 31 of 2017 is $ -188 ( 188 ) ; the balance at december 31 of 2016 is $ -98 ( 98 ) ;"}, "exe_ans": 0.17021, "tfidftopn": {"text_8": "the company accrues interest on unrecognized tax benefits as a component of interest expense .", "text_6": "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the years ended december 31 , 2018 , 2017 and 2016 is as follows: ."}, "program_re": "divide(subtract(220, 188), 188)", "model_input": [["text_6", "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the years ended december 31 , 2018 , 2017 and 2016 is as follows: ."], ["table_1", "in millions the balance at january 1 of 2018 is $ -188 ( 188 ) ; the balance at january 1 of 2017 is $ -98 ( 98 ) ; the balance at january 1 of 2016 is $ -150 ( 150 ) ;"], ["table_8", "in millions the balance at december 31 of 2018 is $ -220 ( 220 ) ; the balance at december 31 of 2017 is $ -188 ( 188 ) ; the balance at december 31 of 2016 is $ -98 ( 98 ) ;"]]}, "answers": ["17%"]}, "rejected_source": {"id": "IP/2018/page_83.pdf-2", "qa": {"question": "unrecognized tax benefits change by what percent between 2016 and 2017?", "answer": "92%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "188", "arg2": "98", "res": "90"}, {"op": "divide2-2", "arg1": "#0", "arg2": "98", "res": "92%"}], "program": "subtract(188, 98), divide(#0, 98)", "gold_inds": {"table_8": "in millions the balance at december 31 of 2018 is $ -220 ( 220 ) ; the balance at december 31 of 2017 is $ -188 ( 188 ) ; the balance at december 31 of 2016 is $ -98 ( 98 ) ;"}, "exe_ans": 0.91837, "tfidftopn": {"text_8": "the company accrues interest on unrecognized tax benefits as a component of interest expense .", "text_6": "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the years ended december 31 , 2018 , 2017 and 2016 is as follows: ."}, "program_re": "divide(subtract(188, 98), 98)", "model_input": [["text_6", "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the years ended december 31 , 2018 , 2017 and 2016 is as follows: ."], ["table_1", "in millions the balance at january 1 of 2018 is $ -188 ( 188 ) ; the balance at january 1 of 2017 is $ -98 ( 98 ) ; the balance at january 1 of 2016 is $ -150 ( 150 ) ;"], ["table_8", "in millions the balance at december 31 of 2018 is $ -220 ( 220 ) ; the balance at december 31 of 2017 is $ -188 ( 188 ) ; the balance at december 31 of 2016 is $ -98 ( 98 ) ;"]]}, "answers": ["92%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000920", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: unrecognized tax benefits change by what percent between 2016 and 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "92%.", "rejected": "17%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || unrecognized tax benefits change by what percent <TIME>?", "doc_prefix": "IP", "base_question": "unrecognized tax benefits change by what percent <TIME>?", "original_question": "unrecognized tax benefits change by what percent between 2016 and 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"92%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "17%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "IP/2018/page_83.pdf-2", "qa": {"question": "unrecognized tax benefits change by what percent between 2016 and 2017?", "answer": "92%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "188", "arg2": "98", "res": "90"}, {"op": "divide2-2", "arg1": "#0", "arg2": "98", "res": "92%"}], "program": "subtract(188, 98), divide(#0, 98)", "gold_inds": {"table_8": "in millions the balance at december 31 of 2018 is $ -220 ( 220 ) ; the balance at december 31 of 2017 is $ -188 ( 188 ) ; the balance at december 31 of 2016 is $ -98 ( 98 ) ;"}, "exe_ans": 0.91837, "tfidftopn": {"text_8": "the company accrues interest on unrecognized tax benefits as a component of interest expense .", "text_6": "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the years ended december 31 , 2018 , 2017 and 2016 is as follows: ."}, "program_re": "divide(subtract(188, 98), 98)", "model_input": [["text_6", "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the years ended december 31 , 2018 , 2017 and 2016 is as follows: ."], ["table_1", "in millions the balance at january 1 of 2018 is $ -188 ( 188 ) ; the balance at january 1 of 2017 is $ -98 ( 98 ) ; the balance at january 1 of 2016 is $ -150 ( 150 ) ;"], ["table_8", "in millions the balance at december 31 of 2018 is $ -220 ( 220 ) ; the balance at december 31 of 2017 is $ -188 ( 188 ) ; the balance at december 31 of 2016 is $ -98 ( 98 ) ;"]]}, "answers": ["92%"]}, "rejected_source": {"id": "IP/2018/page_83.pdf-1", "qa": {"question": "unrecognized tax benefits change by what percent between 2017 and 2018?", "answer": "17%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "220", "arg2": "188", "res": "32"}, {"op": "divide1-2", "arg1": "#0", "arg2": "188", "res": "17%"}], "program": "subtract(220, 188), divide(#0, 188)", "gold_inds": {"table_8": "in millions the balance at december 31 of 2018 is $ -220 ( 220 ) ; the balance at december 31 of 2017 is $ -188 ( 188 ) ; the balance at december 31 of 2016 is $ -98 ( 98 ) ;"}, "exe_ans": 0.17021, "tfidftopn": {"text_8": "the company accrues interest on unrecognized tax benefits as a component of interest expense .", "text_6": "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the years ended december 31 , 2018 , 2017 and 2016 is as follows: ."}, "program_re": "divide(subtract(220, 188), 188)", "model_input": [["text_6", "a reconciliation of the beginning and ending amount of unrecognized tax benefits for the years ended december 31 , 2018 , 2017 and 2016 is as follows: ."], ["table_1", "in millions the balance at january 1 of 2018 is $ -188 ( 188 ) ; the balance at january 1 of 2017 is $ -98 ( 98 ) ; the balance at january 1 of 2016 is $ -150 ( 150 ) ;"], ["table_8", "in millions the balance at december 31 of 2018 is $ -220 ( 220 ) ; the balance at december 31 of 2017 is $ -188 ( 188 ) ; the balance at december 31 of 2016 is $ -98 ( 98 ) ;"]]}, "answers": ["17%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000921", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due in 2010 are related to citigroup funding inc . ?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "13%.", "rejected": "20%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due <TIME> are related to citigroup funding inc . ?", "doc_prefix": "C", "base_question": "what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due <TIME> are related to citigroup funding inc . ?", "original_question": "what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due in 2010 are related to citigroup funding inc . ?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "13%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "C/2008/page_176.pdf-3", "qa": {"question": "what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due in 2010 are related to citigroup funding inc . ?", "answer": "13%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "5381", "arg2": "41431", "res": "13%"}], "program": "divide(5381, 41431)", "gold_inds": {"table_4": "in millions of dollars the citigroup funding inc . of 2009 is 17632 ; the citigroup funding inc . of 2010 is 5381 ; the citigroup funding inc . of 2011 is 2154 ; the citigroup funding inc . of 2012 is 1253 ; the citigroup funding inc . of 2013 is 3790 ; the citigroup funding inc . of thereafter is 7164 ;", "table_5": "in millions of dollars the total of 2009 is $ 88472 ; the total of 2010 is $ 41431 ; the total of 2011 is $ 42112 ; the total of 2012 is $ 27999 ; the total of 2013 is $ 25955 ; the total of thereafter is $ 133624 ;"}, "exe_ans": 0.12988, "tfidftopn": {"text_7": "aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities are as follows : in millions of dollars 2009 2010 2011 2012 2013 thereafter ."}, "program_re": "divide(5381, 41431)", "model_input": [["text_7", "aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities are as follows : in millions of dollars 2009 2010 2011 2012 2013 thereafter ."], ["table_4", "in millions of dollars the citigroup funding inc . of 2009 is 17632 ; the citigroup funding inc . of 2010 is 5381 ; the citigroup funding inc . of 2011 is 2154 ; the citigroup funding inc . of 2012 is 1253 ; the citigroup funding inc . of 2013 is 3790 ; the citigroup funding inc . of thereafter is 7164 ;"], ["table_5", "in millions of dollars the total of 2009 is $ 88472 ; the total of 2010 is $ 41431 ; the total of 2011 is $ 42112 ; the total of 2012 is $ 27999 ; the total of 2013 is $ 25955 ; the total of thereafter is $ 133624 ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "C/2008/page_176.pdf-1", "qa": {"question": "what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due in 2009 are related to citigroup funding inc . ?", "answer": "20%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "17632", "arg2": "88472", "res": "20%"}], "program": "divide(17632, 88472)", "gold_inds": {"table_4": "in millions of dollars the citigroup funding inc . of 2009 is 17632 ; the citigroup funding inc . of 2010 is 5381 ; the citigroup funding inc . of 2011 is 2154 ; the citigroup funding inc . of 2012 is 1253 ; the citigroup funding inc . of 2013 is 3790 ; the citigroup funding inc . of thereafter is 7164 ;", "table_5": "in millions of dollars the total of 2009 is $ 88472 ; the total of 2010 is $ 41431 ; the total of 2011 is $ 42112 ; the total of 2012 is $ 27999 ; the total of 2013 is $ 25955 ; the total of thereafter is $ 133624 ;"}, "exe_ans": 0.19929, "tfidftopn": {"text_7": "aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities are as follows : in millions of dollars 2009 2010 2011 2012 2013 thereafter ."}, "program_re": "divide(17632, 88472)", "model_input": [["text_7", "aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities are as follows : in millions of dollars 2009 2010 2011 2012 2013 thereafter ."], ["table_4", "in millions of dollars the citigroup funding inc . of 2009 is 17632 ; the citigroup funding inc . of 2010 is 5381 ; the citigroup funding inc . of 2011 is 2154 ; the citigroup funding inc . of 2012 is 1253 ; the citigroup funding inc . of 2013 is 3790 ; the citigroup funding inc . of thereafter is 7164 ;"], ["table_5", "in millions of dollars the total of 2009 is $ 88472 ; the total of 2010 is $ 41431 ; the total of 2011 is $ 42112 ; the total of 2012 is $ 27999 ; the total of 2013 is $ 25955 ; the total of thereafter is $ 133624 ;"]]}, "answers": ["20%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000922", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due in 2009 are related to citigroup funding inc . ?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "20%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due <TIME> are related to citigroup funding inc . ?", "doc_prefix": "C", "base_question": "what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due <TIME> are related to citigroup funding inc . ?", "original_question": "what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due in 2009 are related to citigroup funding inc . ?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "13%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "C/2008/page_176.pdf-1", "qa": {"question": "what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due in 2009 are related to citigroup funding inc . ?", "answer": "20%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "17632", "arg2": "88472", "res": "20%"}], "program": "divide(17632, 88472)", "gold_inds": {"table_4": "in millions of dollars the citigroup funding inc . of 2009 is 17632 ; the citigroup funding inc . of 2010 is 5381 ; the citigroup funding inc . of 2011 is 2154 ; the citigroup funding inc . of 2012 is 1253 ; the citigroup funding inc . of 2013 is 3790 ; the citigroup funding inc . of thereafter is 7164 ;", "table_5": "in millions of dollars the total of 2009 is $ 88472 ; the total of 2010 is $ 41431 ; the total of 2011 is $ 42112 ; the total of 2012 is $ 27999 ; the total of 2013 is $ 25955 ; the total of thereafter is $ 133624 ;"}, "exe_ans": 0.19929, "tfidftopn": {"text_7": "aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities are as follows : in millions of dollars 2009 2010 2011 2012 2013 thereafter ."}, "program_re": "divide(17632, 88472)", "model_input": [["text_7", "aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities are as follows : in millions of dollars 2009 2010 2011 2012 2013 thereafter ."], ["table_4", "in millions of dollars the citigroup funding inc . of 2009 is 17632 ; the citigroup funding inc . of 2010 is 5381 ; the citigroup funding inc . of 2011 is 2154 ; the citigroup funding inc . of 2012 is 1253 ; the citigroup funding inc . of 2013 is 3790 ; the citigroup funding inc . of thereafter is 7164 ;"], ["table_5", "in millions of dollars the total of 2009 is $ 88472 ; the total of 2010 is $ 41431 ; the total of 2011 is $ 42112 ; the total of 2012 is $ 27999 ; the total of 2013 is $ 25955 ; the total of thereafter is $ 133624 ;"]]}, "answers": ["20%"]}, "rejected_source": {"id": "C/2008/page_176.pdf-3", "qa": {"question": "what percentage of total aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities due in 2010 are related to citigroup funding inc . ?", "answer": "13%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "5381", "arg2": "41431", "res": "13%"}], "program": "divide(5381, 41431)", "gold_inds": {"table_4": "in millions of dollars the citigroup funding inc . of 2009 is 17632 ; the citigroup funding inc . of 2010 is 5381 ; the citigroup funding inc . of 2011 is 2154 ; the citigroup funding inc . of 2012 is 1253 ; the citigroup funding inc . of 2013 is 3790 ; the citigroup funding inc . of thereafter is 7164 ;", "table_5": "in millions of dollars the total of 2009 is $ 88472 ; the total of 2010 is $ 41431 ; the total of 2011 is $ 42112 ; the total of 2012 is $ 27999 ; the total of 2013 is $ 25955 ; the total of thereafter is $ 133624 ;"}, "exe_ans": 0.12988, "tfidftopn": {"text_7": "aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities are as follows : in millions of dollars 2009 2010 2011 2012 2013 thereafter ."}, "program_re": "divide(5381, 41431)", "model_input": [["text_7", "aggregate annual maturities of long-term debt obligations ( based on final maturity dates ) including trust preferred securities are as follows : in millions of dollars 2009 2010 2011 2012 2013 thereafter ."], ["table_4", "in millions of dollars the citigroup funding inc . of 2009 is 17632 ; the citigroup funding inc . of 2010 is 5381 ; the citigroup funding inc . of 2011 is 2154 ; the citigroup funding inc . of 2012 is 1253 ; the citigroup funding inc . of 2013 is 3790 ; the citigroup funding inc . of thereafter is 7164 ;"], ["table_5", "in millions of dollars the total of 2009 is $ 88472 ; the total of 2010 is $ 41431 ; the total of 2011 is $ 42112 ; the total of 2012 is $ 27999 ; the total of 2013 is $ 25955 ; the total of thereafter is $ 133624 ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000923", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2004 for entergy corporation?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "29.5.", "rejected": "4.9.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME> for entergy corporation?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME> for entergy corporation?", "original_question": "what is the net change in net revenue during 2004 for entergy corporation?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.9": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "29.5": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "ETR/2004/page_19.pdf-2", "qa": {"question": "what is the net change in net revenue during 2004 for entergy corporation?", "answer": "29.5", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4244.0", "arg2": "4214.5", "res": "29.5"}], "program": "subtract(4244.0, 4214.5)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 4214.5 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 4244.0 ;"}, "exe_ans": 29.5, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "program_re": "subtract(4244.0, 4214.5)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 4244.0 ;"]]}, "answers": ["29.5"]}, "rejected_source": {"id": "ETR/2004/page_20.pdf-1", "qa": {"question": "what is the net change in net revenue during 2003 for entergy corporation?", "answer": "4.9", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4214.5", "arg2": "4209.6", "res": "4.9"}], "program": "subtract(4214.5, 4209.6)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 4209.6 ;", "table_9": "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"}, "exe_ans": 4.9, "tfidftopn": {"text_2": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "subtract(4214.5, 4209.6)", "model_input": [["text_2", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 4209.6 ;"], ["table_9", "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"]]}, "answers": ["4.9"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000924", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in net revenue during 2003 for entergy corporation?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "4.9.", "rejected": "29.5.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in net revenue <TIME> for entergy corporation?", "doc_prefix": "ETR", "base_question": "what is the net change in net revenue <TIME> for entergy corporation?", "original_question": "what is the net change in net revenue during 2003 for entergy corporation?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.9": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "29.5": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "ETR/2004/page_20.pdf-1", "qa": {"question": "what is the net change in net revenue during 2003 for entergy corporation?", "answer": "4.9", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4214.5", "arg2": "4209.6", "res": "4.9"}], "program": "subtract(4214.5, 4209.6)", "gold_inds": {"table_1": "the 2002 net revenue of ( in millions ) is $ 4209.6 ;", "table_9": "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"}, "exe_ans": 4.9, "tfidftopn": {"text_2": "following is an analysis of the change in net revenue comparing 2003 to 2002. ."}, "program_re": "subtract(4214.5, 4209.6)", "model_input": [["text_2", "following is an analysis of the change in net revenue comparing 2003 to 2002. ."], ["table_1", "the 2002 net revenue of ( in millions ) is $ 4209.6 ;"], ["table_9", "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"]]}, "answers": ["4.9"]}, "rejected_source": {"id": "ETR/2004/page_19.pdf-2", "qa": {"question": "what is the net change in net revenue during 2004 for entergy corporation?", "answer": "29.5", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4244.0", "arg2": "4214.5", "res": "29.5"}], "program": "subtract(4244.0, 4214.5)", "gold_inds": {"table_1": "the 2003 net revenue of ( in millions ) is $ 4214.5 ;", "table_8": "the 2004 net revenue of ( in millions ) is $ 4244.0 ;"}, "exe_ans": 29.5, "tfidftopn": {"text_1": "following is an analysis of the change in net revenue comparing 2004 to 2003. ."}, "program_re": "subtract(4244.0, 4214.5)", "model_input": [["text_1", "following is an analysis of the change in net revenue comparing 2004 to 2003. ."], ["table_1", "the 2003 net revenue of ( in millions ) is $ 4214.5 ;"], ["table_8", "the 2004 net revenue of ( in millions ) is $ 4244.0 ;"]]}, "answers": ["29.5"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000925", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "283.", "rejected": "323.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HST || what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "doc_prefix": "HST", "base_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "original_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"383": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "283": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "323": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "HST/2017/page_168.pdf-2", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2015 to 2016?", "answer": "283", "explanation": "", "ann_table_rows": [4, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5949", "arg2": "5666", "res": "283"}], "program": "subtract(5949, 5666)", "gold_inds": {"table_4": "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;", "table_8": "balance at december 31 2014 the balance at december 31 2016 of $ 5283 is 5949 ;"}, "exe_ans": 283.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."}, "program_re": "subtract(5949, 5666)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."], ["table_4", "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"], ["table_8", "balance at december 31 2014 the balance at december 31 2016 of $ 5283 is 5949 ;"]]}, "answers": ["283"]}, "rejected_source": {"id": "HST/2018/page_160.pdf-2", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2016 to 2017?", "answer": "323", "explanation": "", "ann_table_rows": [4, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6272", "arg2": "5949", "res": "323"}], "program": "subtract(6272, 5949)", "gold_inds": {"table_4": "balance at december 31 2015 the balance at december 31 2016 of $ 5666 is 5949 ;", "table_8": "balance at december 31 2015 the balance at december 31 2017 of $ 5666 is 6272 ;"}, "exe_ans": 323.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2018 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2018 , 2017 and 2016 is as follows: ."}, "program_re": "subtract(6272, 5949)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2018 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2018 , 2017 and 2016 is as follows: ."], ["table_4", "balance at december 31 2015 the balance at december 31 2016 of $ 5666 is 5949 ;"], ["table_8", "balance at december 31 2015 the balance at december 31 2017 of $ 5666 is 6272 ;"]]}, "answers": ["323"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000926", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "283.", "rejected": "383.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HST || what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "doc_prefix": "HST", "base_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "original_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"383": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "283": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "323": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "HST/2017/page_168.pdf-2", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2015 to 2016?", "answer": "283", "explanation": "", "ann_table_rows": [4, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5949", "arg2": "5666", "res": "283"}], "program": "subtract(5949, 5666)", "gold_inds": {"table_4": "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;", "table_8": "balance at december 31 2014 the balance at december 31 2016 of $ 5283 is 5949 ;"}, "exe_ans": 283.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."}, "program_re": "subtract(5949, 5666)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."], ["table_4", "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"], ["table_8", "balance at december 31 2014 the balance at december 31 2016 of $ 5283 is 5949 ;"]]}, "answers": ["283"]}, "rejected_source": {"id": "HST/2017/page_168.pdf-1", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2014 to 2015?", "answer": "383", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5666", "arg2": "5283", "res": "383"}], "program": "subtract(5666, 5283)", "gold_inds": {"table_4": "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"}, "exe_ans": 383.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: .", "table_1": "balance at december 31 2014 The depreciation and amortization of $ 5283 is 558 ;"}, "program_re": "subtract(5666, 5283)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."], ["table_4", "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"], ["table_5", "balance at december 31 2014 the depreciation and amortization of $ 5283 is 572 ;"]]}, "answers": ["383"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000927", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "323.", "rejected": "283.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HST || what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "doc_prefix": "HST", "base_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "original_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"383": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "283": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "323": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "HST/2018/page_160.pdf-2", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2016 to 2017?", "answer": "323", "explanation": "", "ann_table_rows": [4, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6272", "arg2": "5949", "res": "323"}], "program": "subtract(6272, 5949)", "gold_inds": {"table_4": "balance at december 31 2015 the balance at december 31 2016 of $ 5666 is 5949 ;", "table_8": "balance at december 31 2015 the balance at december 31 2017 of $ 5666 is 6272 ;"}, "exe_ans": 323.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2018 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2018 , 2017 and 2016 is as follows: ."}, "program_re": "subtract(6272, 5949)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2018 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2018 , 2017 and 2016 is as follows: ."], ["table_4", "balance at december 31 2015 the balance at december 31 2016 of $ 5666 is 5949 ;"], ["table_8", "balance at december 31 2015 the balance at december 31 2017 of $ 5666 is 6272 ;"]]}, "answers": ["323"]}, "rejected_source": {"id": "HST/2017/page_168.pdf-2", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2015 to 2016?", "answer": "283", "explanation": "", "ann_table_rows": [4, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5949", "arg2": "5666", "res": "283"}], "program": "subtract(5949, 5666)", "gold_inds": {"table_4": "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;", "table_8": "balance at december 31 2014 the balance at december 31 2016 of $ 5283 is 5949 ;"}, "exe_ans": 283.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."}, "program_re": "subtract(5949, 5666)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."], ["table_4", "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"], ["table_8", "balance at december 31 2014 the balance at december 31 2016 of $ 5283 is 5949 ;"]]}, "answers": ["283"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000928", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "323.", "rejected": "383.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HST || what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "doc_prefix": "HST", "base_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "original_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"383": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "283": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "323": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "HST/2018/page_160.pdf-2", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2016 to 2017?", "answer": "323", "explanation": "", "ann_table_rows": [4, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6272", "arg2": "5949", "res": "323"}], "program": "subtract(6272, 5949)", "gold_inds": {"table_4": "balance at december 31 2015 the balance at december 31 2016 of $ 5666 is 5949 ;", "table_8": "balance at december 31 2015 the balance at december 31 2017 of $ 5666 is 6272 ;"}, "exe_ans": 323.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2018 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2018 , 2017 and 2016 is as follows: ."}, "program_re": "subtract(6272, 5949)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2018 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2018 , 2017 and 2016 is as follows: ."], ["table_4", "balance at december 31 2015 the balance at december 31 2016 of $ 5666 is 5949 ;"], ["table_8", "balance at december 31 2015 the balance at december 31 2017 of $ 5666 is 6272 ;"]]}, "answers": ["323"]}, "rejected_source": {"id": "HST/2017/page_168.pdf-1", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2014 to 2015?", "answer": "383", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5666", "arg2": "5283", "res": "383"}], "program": "subtract(5666, 5283)", "gold_inds": {"table_4": "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"}, "exe_ans": 383.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: .", "table_1": "balance at december 31 2014 The depreciation and amortization of $ 5283 is 558 ;"}, "program_re": "subtract(5666, 5283)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."], ["table_4", "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"], ["table_5", "balance at december 31 2014 the depreciation and amortization of $ 5283 is 572 ;"]]}, "answers": ["383"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000929", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "383.", "rejected": "283.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HST || what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "doc_prefix": "HST", "base_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "original_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"383": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "283": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "323": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "HST/2017/page_168.pdf-1", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2014 to 2015?", "answer": "383", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5666", "arg2": "5283", "res": "383"}], "program": "subtract(5666, 5283)", "gold_inds": {"table_4": "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"}, "exe_ans": 383.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: .", "table_1": "balance at december 31 2014 The depreciation and amortization of $ 5283 is 558 ;"}, "program_re": "subtract(5666, 5283)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."], ["table_4", "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"], ["table_5", "balance at december 31 2014 the depreciation and amortization of $ 5283 is 572 ;"]]}, "answers": ["383"]}, "rejected_source": {"id": "HST/2017/page_168.pdf-2", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2015 to 2016?", "answer": "283", "explanation": "", "ann_table_rows": [4, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5949", "arg2": "5666", "res": "283"}], "program": "subtract(5949, 5666)", "gold_inds": {"table_4": "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;", "table_8": "balance at december 31 2014 the balance at december 31 2016 of $ 5283 is 5949 ;"}, "exe_ans": 283.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."}, "program_re": "subtract(5949, 5666)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."], ["table_4", "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"], ["table_8", "balance at december 31 2014 the balance at december 31 2016 of $ 5283 is 5949 ;"]]}, "answers": ["283"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000930", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "383.", "rejected": "323.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HST || what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "doc_prefix": "HST", "base_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets <TIME>?", "original_question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"383": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "283": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "323": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "HST/2017/page_168.pdf-1", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2014 to 2015?", "answer": "383", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5666", "arg2": "5283", "res": "383"}], "program": "subtract(5666, 5283)", "gold_inds": {"table_4": "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"}, "exe_ans": 383.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: .", "table_1": "balance at december 31 2014 The depreciation and amortization of $ 5283 is 558 ;"}, "program_re": "subtract(5666, 5283)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2017 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2017 , 2016 and 2015 is as follows: ."], ["table_4", "balance at december 31 2014 the balance at december 31 2015 of $ 5283 is 5666 ;"], ["table_5", "balance at december 31 2014 the depreciation and amortization of $ 5283 is 572 ;"]]}, "answers": ["383"]}, "rejected_source": {"id": "HST/2018/page_160.pdf-2", "qa": {"question": "what was the net change in millions in the accumulated depreciation and amortization of real estate assets from 2016 to 2017?", "answer": "323", "explanation": "", "ann_table_rows": [4, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6272", "arg2": "5949", "res": "323"}], "program": "subtract(6272, 5949)", "gold_inds": {"table_4": "balance at december 31 2015 the balance at december 31 2016 of $ 5666 is 5949 ;", "table_8": "balance at december 31 2015 the balance at december 31 2017 of $ 5666 is 6272 ;"}, "exe_ans": 323.0, "tfidftopn": {"text_0": "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2018 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2018 , 2017 and 2016 is as follows: ."}, "program_re": "subtract(6272, 5949)", "model_input": [["text_0", "schedule iii page 6 of 6 host hotels & resorts , inc. , and subsidiaries host hotels & resorts , l.p. , and subsidiaries real estate and accumulated depreciation december 31 , 2018 ( in millions ) ( b ) the change in accumulated depreciation and amortization of real estate assets for the fiscal years ended december 31 , 2018 , 2017 and 2016 is as follows: ."], ["table_4", "balance at december 31 2015 the balance at december 31 2016 of $ 5666 is 5949 ;"], ["table_8", "balance at december 31 2015 the balance at december 31 2017 of $ 5666 is 6272 ;"]]}, "answers": ["323"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000931", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the final amount of cash and cash equivalents in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-454.2.", "rejected": "533.8.", "meta": {"dataset": "finqa", "split": "train", "group_key": "APD || what is the final amount of cash and cash equivalents <TIME>?", "doc_prefix": "APD", "base_question": "what is the final amount of cash and cash equivalents <TIME>?", "original_question": "what is the final amount of cash and cash equivalents in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"533.8": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-454.2": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "APD/2018/page_54.pdf-1", "qa": {"question": "what is the final amount of cash and cash equivalents in 2018?", "answer": "-454.2", "explanation": "it is the operating activities minus the investing and financing activities of the year 2018 .", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2554.7", "arg2": "1649.1", "res": "905.6"}, {"op": "minus1-2", "arg1": "#0", "arg2": "1359.8", "res": "-454.2"}], "program": "subtract(2554.7, 1649.1), subtract(#0, 1359.8)", "gold_inds": {"table_1": "cash provided by ( used for ) the operating activities of 2018 is $ 2554.7 ; the operating activities of 2017 is $ 2534.1 ; the operating activities of 2016 is $ 2258.8 ;", "table_2": "cash provided by ( used for ) the investing activities of 2018 is -1649.1 ( 1649.1 ) ; the investing activities of 2017 is -1417.7 ( 1417.7 ) ; the investing activities of 2016 is -864.8 ( 864.8 ) ;", "table_3": "cash provided by ( used for ) the financing activities of 2018 is -1359.8 ( 1359.8 ) ; the financing activities of 2017 is -2040.9 ( 2040.9 ) ; the financing activities of 2016 is -860.2 ( 860.2 ) ;"}, "exe_ans": -454.2, "tfidftopn": {}, "program_re": "subtract(subtract(2554.7, 1649.1), 1359.8)", "model_input": [["table_1", "cash provided by ( used for ) the operating activities of 2018 is $ 2554.7 ; the operating activities of 2017 is $ 2534.1 ; the operating activities of 2016 is $ 2258.8 ;"], ["table_2", "cash provided by ( used for ) the investing activities of 2018 is -1649.1 ( 1649.1 ) ; the investing activities of 2017 is -1417.7 ( 1417.7 ) ; the investing activities of 2016 is -864.8 ( 864.8 ) ;"], ["table_3", "cash provided by ( used for ) the financing activities of 2018 is -1359.8 ( 1359.8 ) ; the financing activities of 2017 is -2040.9 ( 2040.9 ) ; the financing activities of 2016 is -860.2 ( 860.2 ) ;"]]}, "answers": ["-454.2"]}, "rejected_source": {"id": "APD/2018/page_54.pdf-2", "qa": {"question": "what is the final amount of cash and cash equivalents in 2016?", "answer": "533.8", "explanation": "it is the operating activities minus the investing and financing activities of the year 2016 .", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2258.8", "arg2": "864.8", "res": "1394"}, {"op": "minus2-2", "arg1": "#0", "arg2": "860.2", "res": "533.8"}], "program": "subtract(2258.8, 864.8), subtract(#0, 860.2)", "gold_inds": {"table_1": "cash provided by ( used for ) the operating activities of 2018 is $ 2554.7 ; the operating activities of 2017 is $ 2534.1 ; the operating activities of 2016 is $ 2258.8 ;", "table_2": "cash provided by ( used for ) the investing activities of 2018 is -1649.1 ( 1649.1 ) ; the investing activities of 2017 is -1417.7 ( 1417.7 ) ; the investing activities of 2016 is -864.8 ( 864.8 ) ;", "table_3": "cash provided by ( used for ) the financing activities of 2018 is -1359.8 ( 1359.8 ) ; the financing activities of 2017 is -2040.9 ( 2040.9 ) ; the financing activities of 2016 is -860.2 ( 860.2 ) ;"}, "exe_ans": 533.8, "tfidftopn": {}, "program_re": "subtract(subtract(2258.8, 864.8), 860.2)", "model_input": [["table_1", "cash provided by ( used for ) the operating activities of 2018 is $ 2554.7 ; the operating activities of 2017 is $ 2534.1 ; the operating activities of 2016 is $ 2258.8 ;"], ["table_2", "cash provided by ( used for ) the investing activities of 2018 is -1649.1 ( 1649.1 ) ; the investing activities of 2017 is -1417.7 ( 1417.7 ) ; the investing activities of 2016 is -864.8 ( 864.8 ) ;"], ["table_3", "cash provided by ( used for ) the financing activities of 2018 is -1359.8 ( 1359.8 ) ; the financing activities of 2017 is -2040.9 ( 2040.9 ) ; the financing activities of 2016 is -860.2 ( 860.2 ) ;"]]}, "answers": ["533.8"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000932", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the final amount of cash and cash equivalents in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "533.8.", "rejected": "-454.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "APD || what is the final amount of cash and cash equivalents <TIME>?", "doc_prefix": "APD", "base_question": "what is the final amount of cash and cash equivalents <TIME>?", "original_question": "what is the final amount of cash and cash equivalents in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"533.8": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-454.2": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "APD/2018/page_54.pdf-2", "qa": {"question": "what is the final amount of cash and cash equivalents in 2016?", "answer": "533.8", "explanation": "it is the operating activities minus the investing and financing activities of the year 2016 .", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2258.8", "arg2": "864.8", "res": "1394"}, {"op": "minus2-2", "arg1": "#0", "arg2": "860.2", "res": "533.8"}], "program": "subtract(2258.8, 864.8), subtract(#0, 860.2)", "gold_inds": {"table_1": "cash provided by ( used for ) the operating activities of 2018 is $ 2554.7 ; the operating activities of 2017 is $ 2534.1 ; the operating activities of 2016 is $ 2258.8 ;", "table_2": "cash provided by ( used for ) the investing activities of 2018 is -1649.1 ( 1649.1 ) ; the investing activities of 2017 is -1417.7 ( 1417.7 ) ; the investing activities of 2016 is -864.8 ( 864.8 ) ;", "table_3": "cash provided by ( used for ) the financing activities of 2018 is -1359.8 ( 1359.8 ) ; the financing activities of 2017 is -2040.9 ( 2040.9 ) ; the financing activities of 2016 is -860.2 ( 860.2 ) ;"}, "exe_ans": 533.8, "tfidftopn": {}, "program_re": "subtract(subtract(2258.8, 864.8), 860.2)", "model_input": [["table_1", "cash provided by ( used for ) the operating activities of 2018 is $ 2554.7 ; the operating activities of 2017 is $ 2534.1 ; the operating activities of 2016 is $ 2258.8 ;"], ["table_2", "cash provided by ( used for ) the investing activities of 2018 is -1649.1 ( 1649.1 ) ; the investing activities of 2017 is -1417.7 ( 1417.7 ) ; the investing activities of 2016 is -864.8 ( 864.8 ) ;"], ["table_3", "cash provided by ( used for ) the financing activities of 2018 is -1359.8 ( 1359.8 ) ; the financing activities of 2017 is -2040.9 ( 2040.9 ) ; the financing activities of 2016 is -860.2 ( 860.2 ) ;"]]}, "answers": ["533.8"]}, "rejected_source": {"id": "APD/2018/page_54.pdf-1", "qa": {"question": "what is the final amount of cash and cash equivalents in 2018?", "answer": "-454.2", "explanation": "it is the operating activities minus the investing and financing activities of the year 2018 .", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2554.7", "arg2": "1649.1", "res": "905.6"}, {"op": "minus1-2", "arg1": "#0", "arg2": "1359.8", "res": "-454.2"}], "program": "subtract(2554.7, 1649.1), subtract(#0, 1359.8)", "gold_inds": {"table_1": "cash provided by ( used for ) the operating activities of 2018 is $ 2554.7 ; the operating activities of 2017 is $ 2534.1 ; the operating activities of 2016 is $ 2258.8 ;", "table_2": "cash provided by ( used for ) the investing activities of 2018 is -1649.1 ( 1649.1 ) ; the investing activities of 2017 is -1417.7 ( 1417.7 ) ; the investing activities of 2016 is -864.8 ( 864.8 ) ;", "table_3": "cash provided by ( used for ) the financing activities of 2018 is -1359.8 ( 1359.8 ) ; the financing activities of 2017 is -2040.9 ( 2040.9 ) ; the financing activities of 2016 is -860.2 ( 860.2 ) ;"}, "exe_ans": -454.2, "tfidftopn": {}, "program_re": "subtract(subtract(2554.7, 1649.1), 1359.8)", "model_input": [["table_1", "cash provided by ( used for ) the operating activities of 2018 is $ 2554.7 ; the operating activities of 2017 is $ 2534.1 ; the operating activities of 2016 is $ 2258.8 ;"], ["table_2", "cash provided by ( used for ) the investing activities of 2018 is -1649.1 ( 1649.1 ) ; the investing activities of 2017 is -1417.7 ( 1417.7 ) ; the investing activities of 2016 is -864.8 ( 864.8 ) ;"], ["table_3", "cash provided by ( used for ) the financing activities of 2018 is -1359.8 ( 1359.8 ) ; the financing activities of 2017 is -2040.9 ( 2040.9 ) ; the financing activities of 2016 is -860.2 ( 860.2 ) ;"]]}, "answers": ["-454.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000933", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in entergy louisiana 2019s receivables from the money pool from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "16349.", "rejected": "3339.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in entergy louisiana 2019s receivables from the money pool <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in entergy louisiana 2019s receivables from the money pool <TIME>?", "original_question": "what is the net change in entergy louisiana 2019s receivables from the money pool from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3339": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "16349": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "ETR/2016/page_352.pdf-1", "qa": {"question": "what is the net change in entergy louisiana 2019s receivables from the money pool from 2015 to 2016?", "answer": "16349", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22503", "arg2": "6154", "res": "16349"}], "program": "subtract(22503, 6154)", "gold_inds": {"table_2": "2016 the $ 22503 of 2015 is $ 6154 ; the $ 22503 of 2014 is $ 2815 ; the $ 22503 of 2013 is $ 19573 ;"}, "exe_ans": 16349.0, "tfidftopn": {"text_4": "entergy louisiana 2019s receivables from the money pool were as follows as of december 31 for each of the following years. .", "text_5": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "subtract(22503, 6154)", "model_input": [["text_4", "entergy louisiana 2019s receivables from the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the $ 22503 of 2015 is $ 6154 ; the $ 22503 of 2014 is $ 2815 ; the $ 22503 of 2013 is $ 19573 ;"]]}, "answers": ["16349"]}, "rejected_source": {"id": "ETR/2016/page_352.pdf-2", "qa": {"question": "what is the net change in entergy louisiana 2019s receivables from the money pool from 2014 to 2015?", "answer": "3339", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6154", "arg2": "2815", "res": "3339"}], "program": "subtract(6154, 2815)", "gold_inds": {"table_2": "2016 the $ 22503 of 2015 is $ 6154 ; the $ 22503 of 2014 is $ 2815 ; the $ 22503 of 2013 is $ 19573 ;"}, "exe_ans": 3339.0, "tfidftopn": {"text_4": "entergy louisiana 2019s receivables from the money pool were as follows as of december 31 for each of the following years. .", "text_5": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "subtract(6154, 2815)", "model_input": [["text_4", "entergy louisiana 2019s receivables from the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the $ 22503 of 2015 is $ 6154 ; the $ 22503 of 2014 is $ 2815 ; the $ 22503 of 2013 is $ 19573 ;"]]}, "answers": ["3339"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000934", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in entergy louisiana 2019s receivables from the money pool from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "3339.", "rejected": "16349.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in entergy louisiana 2019s receivables from the money pool <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in entergy louisiana 2019s receivables from the money pool <TIME>?", "original_question": "what is the net change in entergy louisiana 2019s receivables from the money pool from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3339": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "16349": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "ETR/2016/page_352.pdf-2", "qa": {"question": "what is the net change in entergy louisiana 2019s receivables from the money pool from 2014 to 2015?", "answer": "3339", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6154", "arg2": "2815", "res": "3339"}], "program": "subtract(6154, 2815)", "gold_inds": {"table_2": "2016 the $ 22503 of 2015 is $ 6154 ; the $ 22503 of 2014 is $ 2815 ; the $ 22503 of 2013 is $ 19573 ;"}, "exe_ans": 3339.0, "tfidftopn": {"text_4": "entergy louisiana 2019s receivables from the money pool were as follows as of december 31 for each of the following years. .", "text_5": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "subtract(6154, 2815)", "model_input": [["text_4", "entergy louisiana 2019s receivables from the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the $ 22503 of 2015 is $ 6154 ; the $ 22503 of 2014 is $ 2815 ; the $ 22503 of 2013 is $ 19573 ;"]]}, "answers": ["3339"]}, "rejected_source": {"id": "ETR/2016/page_352.pdf-1", "qa": {"question": "what is the net change in entergy louisiana 2019s receivables from the money pool from 2015 to 2016?", "answer": "16349", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22503", "arg2": "6154", "res": "16349"}], "program": "subtract(22503, 6154)", "gold_inds": {"table_2": "2016 the $ 22503 of 2015 is $ 6154 ; the $ 22503 of 2014 is $ 2815 ; the $ 22503 of 2013 is $ 19573 ;"}, "exe_ans": 16349.0, "tfidftopn": {"text_4": "entergy louisiana 2019s receivables from the money pool were as follows as of december 31 for each of the following years. .", "text_5": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "subtract(22503, 6154)", "model_input": [["text_4", "entergy louisiana 2019s receivables from the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the $ 22503 of 2015 is $ 6154 ; the $ 22503 of 2014 is $ 2815 ; the $ 22503 of 2013 is $ 19573 ;"]]}, "answers": ["16349"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000935", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total amount spent for the purchased shares during december 2005?\nReference time interval: 2005-12-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "187050.", "rejected": "613009.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the total amount spent for the purchased shares <TIME>?", "doc_prefix": "CE", "base_question": "what is the total amount spent for the purchased shares <TIME>?", "original_question": "what is the total amount spent for the purchased shares during december 2005?", "reference_time": {"start": "2005-12-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005-12", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"187050": [{"start": "2005-12-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005-12"}], "613009.2": [{"start": "2009-10-01 00:00:00", "end": "2009-11-01 00:00:00", "normalized_text": "2009-10"}]}, "chosen_source": {"id": "CE/2005/page_57.pdf-2", "qa": {"question": "what is the total amount spent for the purchased shares during december 2005?", "answer": "187050", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "10000", "arg2": "18.705", "res": "187050"}], "program": "multiply(10000, 18.705)", "gold_inds": {"table_4": "period the total of totalnumber ofshares ( or units ) purchased ( 1 ) is 10000 ; the total of averageprice paidper share ( orunit ) is $ 18.705 ; the total of total number ofshares ( or units ) purchased aspart ofpublicly announcedplans or programs is 10000 ; the total of maximumnumber ( or approximate dollar value ) of shares ( or units ) thatmayyet be purchased under theplans orprograms is 2014 ;"}, "exe_ans": 187050.0, "tfidftopn": {"table_3": "period The december1 2013 december 31 2005 of totalnumber ofshares ( or units ) purchased ( 1 ) is 10000 ; The december1 2013 december 31 2005 of averageprice paidper share ( orunit ) is $ 18.705 ; The december1 2013 december 31 2005 of total number ofshares ( or units ) purchased aspart ofpublicly announcedplans or programs is 10000 ; The december1 2013 december 31 2005 of maximumnumber ( or approximate dollar value ) of shares ( or units ) thatmayyet be purchased under theplans orprograms is 2014 ;", "text_12": "celanese purchases of its equity securities period number of shares ( or units ) purchased ( 1 ) average price paid per share ( or unit ) total number of shares ( or units ) purchased as part of publicly announced plans or programs maximum number ( or approximate dollar value ) of shares ( or units ) that may yet be purchased under the plans or programs october 1 2013 october 31 , 2005 2014 2014 2014 2014 november 1 2013 november 30 , 2005 2014 2014 2014 2014 december 1 2013 december 31 , 2005 10000 $ 18.705 10000 2014 ."}, "program_re": "multiply(10000, 18.705)", "model_input": [["text_12", "celanese purchases of its equity securities period number of shares ( or units ) purchased ( 1 ) average price paid per share ( or unit ) total number of shares ( or units ) purchased as part of publicly announced plans or programs maximum number ( or approximate dollar value ) of shares ( or units ) that may yet be purchased under the plans or programs october 1 2013 october 31 , 2005 2014 2014 2014 2014 november 1 2013 november 30 , 2005 2014 2014 2014 2014 december 1 2013 december 31 , 2005 10000 $ 18.705 10000 2014 ."], ["table_3", "period the december1 2013 december 31 2005 of totalnumber ofshares ( or units ) purchased ( 1 ) is 10000 ; the december1 2013 december 31 2005 of averageprice paidper share ( orunit ) is $ 18.705 ; the december1 2013 december 31 2005 of total number ofshares ( or units ) purchased aspart ofpublicly announcedplans or programs is 10000 ; the december1 2013 december 31 2005 of maximumnumber ( or approximate dollar value ) of shares ( or units ) thatmayyet be purchased under theplans orprograms is 2014 ;"], ["table_4", "period the total of totalnumber ofshares ( or units ) purchased ( 1 ) is 10000 ; the total of averageprice paidper share ( orunit ) is $ 18.705 ; the total of total number ofshares ( or units ) purchased aspart ofpublicly announcedplans or programs is 10000 ; the total of maximumnumber ( or approximate dollar value ) of shares ( or units ) thatmayyet be purchased under theplans orprograms is 2014 ;"]]}, "answers": ["187050"]}, "rejected_source": {"id": "CE/2009/page_35.pdf-3", "qa": {"question": "what is the total amount spent for the purchased shares during october 2009?", "answer": "613009.2", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "24980", "arg2": "24.54", "res": "613009.2"}], "program": "multiply(24980, 24.54)", "gold_inds": {"table_1": "period the october 1-31 2009 of total number of shares purchased ( 1 ) is 24980 ; the october 1-31 2009 of average price paid per share is $ 24.54 ; the october 1-31 2009 of total number of shares purchased as part of publicly announced program is - ; the october 1-31 2009 of approximate dollar value of shares remaining that may be purchased under the program is $ 122300000.00 ;"}, "exe_ans": 613009.2, "tfidftopn": {"table_3": "period The december 1-31 2009 of total number of shares purchased ( 1 ) is 334 ; The december 1-31 2009 of average price paid per share is $ 32.03 ; The december 1-31 2009 of total number of shares purchased as part of publicly announced program is - ; The december 1-31 2009 of approximate dollar value of shares remaining that may be purchased under the program is $ 122300000.00 ;", "text_11": "celanese purchases of its equity securities the table below sets forth information regarding repurchases of our series a common stock during the three months ended december 31 , 2009 : period total number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced program approximate dollar value of shares remaining that may be purchased under the program ."}, "program_re": "multiply(24980, 24.54)", "model_input": [["table_1", "period the october 1-31 2009 of total number of shares purchased ( 1 ) is 24980 ; the october 1-31 2009 of average price paid per share is $ 24.54 ; the october 1-31 2009 of total number of shares purchased as part of publicly announced program is - ; the october 1-31 2009 of approximate dollar value of shares remaining that may be purchased under the program is $ 122300000.00 ;"], ["table_2", "period the november 1-30 2009 of total number of shares purchased ( 1 ) is - ; the november 1-30 2009 of average price paid per share is $ - ; the november 1-30 2009 of total number of shares purchased as part of publicly announced program is - ; the november 1-30 2009 of approximate dollar value of shares remaining that may be purchased under the program is $ 122300000.00 ;"], ["table_3", "period the december 1-31 2009 of total number of shares purchased ( 1 ) is 334 ; the december 1-31 2009 of average price paid per share is $ 32.03 ; the december 1-31 2009 of total number of shares purchased as part of publicly announced program is - ; the december 1-31 2009 of approximate dollar value of shares remaining that may be purchased under the program is $ 122300000.00 ;"]]}, "answers": ["613009.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000936", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total amount spent for the purchased shares during october 2009?\nReference time interval: 2009-10-01 00:00:00 to 2009-11-01 00:00:00", "chosen": "613009.2.", "rejected": "187050.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the total amount spent for the purchased shares <TIME>?", "doc_prefix": "CE", "base_question": "what is the total amount spent for the purchased shares <TIME>?", "original_question": "what is the total amount spent for the purchased shares during october 2009?", "reference_time": {"start": "2009-10-01 00:00:00", "end": "2009-11-01 00:00:00", "normalized_text": "2009-10", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"187050": [{"start": "2005-12-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005-12"}], "613009.2": [{"start": "2009-10-01 00:00:00", "end": "2009-11-01 00:00:00", "normalized_text": "2009-10"}]}, "chosen_source": {"id": "CE/2009/page_35.pdf-3", "qa": {"question": "what is the total amount spent for the purchased shares during october 2009?", "answer": "613009.2", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "24980", "arg2": "24.54", "res": "613009.2"}], "program": "multiply(24980, 24.54)", "gold_inds": {"table_1": "period the october 1-31 2009 of total number of shares purchased ( 1 ) is 24980 ; the october 1-31 2009 of average price paid per share is $ 24.54 ; the october 1-31 2009 of total number of shares purchased as part of publicly announced program is - ; the october 1-31 2009 of approximate dollar value of shares remaining that may be purchased under the program is $ 122300000.00 ;"}, "exe_ans": 613009.2, "tfidftopn": {"table_3": "period The december 1-31 2009 of total number of shares purchased ( 1 ) is 334 ; The december 1-31 2009 of average price paid per share is $ 32.03 ; The december 1-31 2009 of total number of shares purchased as part of publicly announced program is - ; The december 1-31 2009 of approximate dollar value of shares remaining that may be purchased under the program is $ 122300000.00 ;", "text_11": "celanese purchases of its equity securities the table below sets forth information regarding repurchases of our series a common stock during the three months ended december 31 , 2009 : period total number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced program approximate dollar value of shares remaining that may be purchased under the program ."}, "program_re": "multiply(24980, 24.54)", "model_input": [["table_1", "period the october 1-31 2009 of total number of shares purchased ( 1 ) is 24980 ; the october 1-31 2009 of average price paid per share is $ 24.54 ; the october 1-31 2009 of total number of shares purchased as part of publicly announced program is - ; the october 1-31 2009 of approximate dollar value of shares remaining that may be purchased under the program is $ 122300000.00 ;"], ["table_2", "period the november 1-30 2009 of total number of shares purchased ( 1 ) is - ; the november 1-30 2009 of average price paid per share is $ - ; the november 1-30 2009 of total number of shares purchased as part of publicly announced program is - ; the november 1-30 2009 of approximate dollar value of shares remaining that may be purchased under the program is $ 122300000.00 ;"], ["table_3", "period the december 1-31 2009 of total number of shares purchased ( 1 ) is 334 ; the december 1-31 2009 of average price paid per share is $ 32.03 ; the december 1-31 2009 of total number of shares purchased as part of publicly announced program is - ; the december 1-31 2009 of approximate dollar value of shares remaining that may be purchased under the program is $ 122300000.00 ;"]]}, "answers": ["613009.2"]}, "rejected_source": {"id": "CE/2005/page_57.pdf-2", "qa": {"question": "what is the total amount spent for the purchased shares during december 2005?", "answer": "187050", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "10000", "arg2": "18.705", "res": "187050"}], "program": "multiply(10000, 18.705)", "gold_inds": {"table_4": "period the total of totalnumber ofshares ( or units ) purchased ( 1 ) is 10000 ; the total of averageprice paidper share ( orunit ) is $ 18.705 ; the total of total number ofshares ( or units ) purchased aspart ofpublicly announcedplans or programs is 10000 ; the total of maximumnumber ( or approximate dollar value ) of shares ( or units ) thatmayyet be purchased under theplans orprograms is 2014 ;"}, "exe_ans": 187050.0, "tfidftopn": {"table_3": "period The december1 2013 december 31 2005 of totalnumber ofshares ( or units ) purchased ( 1 ) is 10000 ; The december1 2013 december 31 2005 of averageprice paidper share ( orunit ) is $ 18.705 ; The december1 2013 december 31 2005 of total number ofshares ( or units ) purchased aspart ofpublicly announcedplans or programs is 10000 ; The december1 2013 december 31 2005 of maximumnumber ( or approximate dollar value ) of shares ( or units ) thatmayyet be purchased under theplans orprograms is 2014 ;", "text_12": "celanese purchases of its equity securities period number of shares ( or units ) purchased ( 1 ) average price paid per share ( or unit ) total number of shares ( or units ) purchased as part of publicly announced plans or programs maximum number ( or approximate dollar value ) of shares ( or units ) that may yet be purchased under the plans or programs october 1 2013 october 31 , 2005 2014 2014 2014 2014 november 1 2013 november 30 , 2005 2014 2014 2014 2014 december 1 2013 december 31 , 2005 10000 $ 18.705 10000 2014 ."}, "program_re": "multiply(10000, 18.705)", "model_input": [["text_12", "celanese purchases of its equity securities period number of shares ( or units ) purchased ( 1 ) average price paid per share ( or unit ) total number of shares ( or units ) purchased as part of publicly announced plans or programs maximum number ( or approximate dollar value ) of shares ( or units ) that may yet be purchased under the plans or programs october 1 2013 october 31 , 2005 2014 2014 2014 2014 november 1 2013 november 30 , 2005 2014 2014 2014 2014 december 1 2013 december 31 , 2005 10000 $ 18.705 10000 2014 ."], ["table_3", "period the december1 2013 december 31 2005 of totalnumber ofshares ( or units ) purchased ( 1 ) is 10000 ; the december1 2013 december 31 2005 of averageprice paidper share ( orunit ) is $ 18.705 ; the december1 2013 december 31 2005 of total number ofshares ( or units ) purchased aspart ofpublicly announcedplans or programs is 10000 ; the december1 2013 december 31 2005 of maximumnumber ( or approximate dollar value ) of shares ( or units ) thatmayyet be purchased under theplans orprograms is 2014 ;"], ["table_4", "period the total of totalnumber ofshares ( or units ) purchased ( 1 ) is 10000 ; the total of averageprice paidper share ( orunit ) is $ 18.705 ; the total of total number ofshares ( or units ) purchased aspart ofpublicly announcedplans or programs is 10000 ; the total of maximumnumber ( or approximate dollar value ) of shares ( or units ) thatmayyet be purchased under theplans orprograms is 2014 ;"]]}, "answers": ["187050"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000937", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade for 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "63%.", "rejected": "68%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade <TIME>?", "doc_prefix": "GS", "base_question": "what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade <TIME>?", "original_question": "what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade for 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"68%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "63%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_89.pdf-3", "qa": {"question": "what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade for 2012?", "answer": "63%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2500", "arg2": "1534", "res": "966"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1534", "res": "63%"}], "program": "subtract(2500, 1534), divide(#0, 1534)", "gold_inds": {"table_1": "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2011 is $ 1303 ;", "table_2": "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2011 is 2183 ;"}, "exe_ans": 0.62973, "tfidftopn": {"text_6": "in millions 2012 2011 additional collateral or termination payments for a one-notch downgrade $ 1534 $ 1303 additional collateral or termination payments for a two-notch downgrade 2500 2183 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "divide(subtract(2500, 1534), 1534)", "model_input": [["text_5", "the table below presents the additional collateral or termination payments that could have been called at the reporting date by counterparties in the event of a one-notch and two-notch downgrade in our credit ratings. ."], ["table_1", "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2011 is $ 1303 ;"], ["table_2", "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2011 is 2183 ;"]]}, "answers": ["63%"]}, "rejected_source": {"id": "GS/2012/page_89.pdf-2", "qa": {"question": "what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade for 2011?", "answer": "68%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2183", "arg2": "1303", "res": "880"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1303", "res": "68%"}], "program": "subtract(2183, 1303), divide(#0, 1303)", "gold_inds": {"table_1": "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2011 is $ 1303 ;", "table_2": "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2011 is 2183 ;"}, "exe_ans": 0.67536, "tfidftopn": {"text_6": "in millions 2012 2011 additional collateral or termination payments for a one-notch downgrade $ 1534 $ 1303 additional collateral or termination payments for a two-notch downgrade 2500 2183 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "divide(subtract(2183, 1303), 1303)", "model_input": [["text_5", "the table below presents the additional collateral or termination payments that could have been called at the reporting date by counterparties in the event of a one-notch and two-notch downgrade in our credit ratings. ."], ["table_1", "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2011 is $ 1303 ;"], ["table_2", "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2011 is 2183 ;"]]}, "answers": ["68%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000938", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade for 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "68%.", "rejected": "63%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade <TIME>?", "doc_prefix": "GS", "base_question": "what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade <TIME>?", "original_question": "what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade for 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"68%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "63%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_89.pdf-2", "qa": {"question": "what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade for 2011?", "answer": "68%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2183", "arg2": "1303", "res": "880"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1303", "res": "68%"}], "program": "subtract(2183, 1303), divide(#0, 1303)", "gold_inds": {"table_1": "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2011 is $ 1303 ;", "table_2": "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2011 is 2183 ;"}, "exe_ans": 0.67536, "tfidftopn": {"text_6": "in millions 2012 2011 additional collateral or termination payments for a one-notch downgrade $ 1534 $ 1303 additional collateral or termination payments for a two-notch downgrade 2500 2183 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "divide(subtract(2183, 1303), 1303)", "model_input": [["text_5", "the table below presents the additional collateral or termination payments that could have been called at the reporting date by counterparties in the event of a one-notch and two-notch downgrade in our credit ratings. ."], ["table_1", "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2011 is $ 1303 ;"], ["table_2", "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2011 is 2183 ;"]]}, "answers": ["68%"]}, "rejected_source": {"id": "GS/2012/page_89.pdf-3", "qa": {"question": "what is the percentage of additional collateral or termination payments for a two-notch downgrade over additional collateral or termination payments for a one-notch downgrade for 2012?", "answer": "63%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2500", "arg2": "1534", "res": "966"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1534", "res": "63%"}], "program": "subtract(2500, 1534), divide(#0, 1534)", "gold_inds": {"table_1": "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2011 is $ 1303 ;", "table_2": "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2011 is 2183 ;"}, "exe_ans": 0.62973, "tfidftopn": {"text_6": "in millions 2012 2011 additional collateral or termination payments for a one-notch downgrade $ 1534 $ 1303 additional collateral or termination payments for a two-notch downgrade 2500 2183 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "divide(subtract(2500, 1534), 1534)", "model_input": [["text_5", "the table below presents the additional collateral or termination payments that could have been called at the reporting date by counterparties in the event of a one-notch and two-notch downgrade in our credit ratings. ."], ["table_1", "in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2012 is $ 1534 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2011 is $ 1303 ;"], ["table_2", "in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2012 is 2500 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2011 is 2183 ;"]]}, "answers": ["63%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000939", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent did indemnified securities financing increase between 2005 and 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "35.72%.", "rejected": "5.867%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what percent did indemnified securities financing increase <TIME>?", "doc_prefix": "STT", "base_question": "what percent did indemnified securities financing increase <TIME>?", "original_question": "what percent did indemnified securities financing increase between 2005 and 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"35.72%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "5.867%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "STT/2006/page_92.pdf-4", "qa": {"question": "what percent did indemnified securities financing increase between 2005 and 2006?", "answer": "35.72%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [6], "steps": [{"op": "divide1-1", "arg1": "372863", "arg2": "506032", "res": ".3572"}], "program": "divide(372863, 506032)", "gold_inds": {"table_1": "( in millions ) the indemnified securities financing of 2006 is $ 506032 ; the indemnified securities financing of 2005 is $ 372863 ;", "text_6": "the total potential loss on unfunded commitments , standby and commercial letters of credit and securities finance indemnifications is equal to the total contractual amount , which does not consider the value of any collateral ."}, "exe_ans": 0.73684, "tfidftopn": {"text_15": "government securities totaling $ 527.37 billion and $ 387.22 billion as collateral for indemnified securities on loan at december 31 , 2006 and 2005 , respectively ."}, "program_re": "divide(372863, 506032)", "model_input": [["text_6", "the total potential loss on unfunded commitments , standby and commercial letters of credit and securities finance indemnifications is equal to the total contractual amount , which does not consider the value of any collateral ."], ["text_8", "amounts reported do not reflect participations to unrelated third parties. ."], ["table_1", "( in millions ) the indemnified securities financing of 2006 is $ 506032 ; the indemnified securities financing of 2005 is $ 372863 ;"]]}, "answers": ["35.72%"]}, "rejected_source": {"id": "STT/2013/page_175.pdf-1", "qa": {"question": "what percent did indemnified securities financing increase from 2012 to 2013?", "answer": "5.867%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [7], "steps": [{"op": "minus1-1", "arg1": "320078", "arg2": "302341", "res": "17737"}, {"op": "divide1-2", "arg1": "#0", "arg2": "302341", "res": ".0587"}], "program": "subtract(320078, 302341), divide(#0, 302341)", "gold_inds": {"table_1": "( in millions ) the indemnified securities financing of 2013 is $ 320078 ; the indemnified securities financing of 2012 is $ 302341 ;", "text_7": "since many of these commitments are expected to expire or renew without being drawn upon , the gross contractual amounts do not necessarily represent our future cash requirements ."}, "exe_ans": 0.05867, "tfidftopn": {"text_12": "indemnified securities financing on behalf of our clients , we lend their securities , as agent , to brokers and other institutions ."}, "program_re": "divide(subtract(320078, 302341), 302341)", "model_input": [["text_7", "since many of these commitments are expected to expire or renew without being drawn upon , the gross contractual amounts do not necessarily represent our future cash requirements ."], ["text_11", "amounts presented do not reflect participations to independent third parties. ."], ["table_1", "( in millions ) the indemnified securities financing of 2013 is $ 320078 ; the indemnified securities financing of 2012 is $ 302341 ;"]]}, "answers": ["5.867%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000940", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent did indemnified securities financing increase from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "5.867%.", "rejected": "35.72%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what percent did indemnified securities financing increase <TIME>?", "doc_prefix": "STT", "base_question": "what percent did indemnified securities financing increase <TIME>?", "original_question": "what percent did indemnified securities financing increase from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"35.72%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "5.867%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "STT/2013/page_175.pdf-1", "qa": {"question": "what percent did indemnified securities financing increase from 2012 to 2013?", "answer": "5.867%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [7], "steps": [{"op": "minus1-1", "arg1": "320078", "arg2": "302341", "res": "17737"}, {"op": "divide1-2", "arg1": "#0", "arg2": "302341", "res": ".0587"}], "program": "subtract(320078, 302341), divide(#0, 302341)", "gold_inds": {"table_1": "( in millions ) the indemnified securities financing of 2013 is $ 320078 ; the indemnified securities financing of 2012 is $ 302341 ;", "text_7": "since many of these commitments are expected to expire or renew without being drawn upon , the gross contractual amounts do not necessarily represent our future cash requirements ."}, "exe_ans": 0.05867, "tfidftopn": {"text_12": "indemnified securities financing on behalf of our clients , we lend their securities , as agent , to brokers and other institutions ."}, "program_re": "divide(subtract(320078, 302341), 302341)", "model_input": [["text_7", "since many of these commitments are expected to expire or renew without being drawn upon , the gross contractual amounts do not necessarily represent our future cash requirements ."], ["text_11", "amounts presented do not reflect participations to independent third parties. ."], ["table_1", "( in millions ) the indemnified securities financing of 2013 is $ 320078 ; the indemnified securities financing of 2012 is $ 302341 ;"]]}, "answers": ["5.867%"]}, "rejected_source": {"id": "STT/2006/page_92.pdf-4", "qa": {"question": "what percent did indemnified securities financing increase between 2005 and 2006?", "answer": "35.72%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [6], "steps": [{"op": "divide1-1", "arg1": "372863", "arg2": "506032", "res": ".3572"}], "program": "divide(372863, 506032)", "gold_inds": {"table_1": "( in millions ) the indemnified securities financing of 2006 is $ 506032 ; the indemnified securities financing of 2005 is $ 372863 ;", "text_6": "the total potential loss on unfunded commitments , standby and commercial letters of credit and securities finance indemnifications is equal to the total contractual amount , which does not consider the value of any collateral ."}, "exe_ans": 0.73684, "tfidftopn": {"text_15": "government securities totaling $ 527.37 billion and $ 387.22 billion as collateral for indemnified securities on loan at december 31 , 2006 and 2005 , respectively ."}, "program_re": "divide(372863, 506032)", "model_input": [["text_6", "the total potential loss on unfunded commitments , standby and commercial letters of credit and securities finance indemnifications is equal to the total contractual amount , which does not consider the value of any collateral ."], ["text_8", "amounts reported do not reflect participations to unrelated third parties. ."], ["table_1", "( in millions ) the indemnified securities financing of 2006 is $ 506032 ; the indemnified securities financing of 2005 is $ 372863 ;"]]}, "answers": ["35.72%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000941", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for the pc client group in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "36%.", "rejected": "38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the operating margin for the pc client group <TIME>?", "doc_prefix": "INTC", "base_question": "what was the operating margin for the pc client group <TIME>?", "original_question": "what was the operating margin for the pc client group in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "36%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "INTC/2013/page_40.pdf-2", "qa": {"question": "what was the operating margin for the pc client group in 2013?", "answer": "36%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "11827", "arg2": "33039", "res": "36%"}], "program": "divide(11827, 33039)", "gold_inds": {"table_1": "( in millions ) the net revenue of 2013 is $ 33039 ; the net revenue of 2012 is $ 34504 ; the net revenue of 2011 is $ 35624 ;", "table_2": "( in millions ) the operating income of 2013 is $ 11827 ; the operating income of 2012 is $ 13106 ; the operating income of 2011 is $ 14840 ;"}, "exe_ans": 0.35797, "tfidftopn": {"text_16": "pc client group the revenue and operating income for the pccg operating segment for each period were as follows: ."}, "program_re": "divide(11827, 33039)", "model_input": [["text_16", "pc client group the revenue and operating income for the pccg operating segment for each period were as follows: ."], ["table_1", "( in millions ) the net revenue of 2013 is $ 33039 ; the net revenue of 2012 is $ 34504 ; the net revenue of 2011 is $ 35624 ;"], ["table_2", "( in millions ) the operating income of 2013 is $ 11827 ; the operating income of 2012 is $ 13106 ; the operating income of 2011 is $ 14840 ;"]]}, "answers": ["36%"]}, "rejected_source": {"id": "INTC/2013/page_40.pdf-1", "qa": {"question": "what was the operating margin for the pc client group in 2012?", "answer": "38%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "13106", "arg2": "34504", "res": "38%"}], "program": "divide(13106, 34504)", "gold_inds": {"table_1": "( in millions ) the net revenue of 2013 is $ 33039 ; the net revenue of 2012 is $ 34504 ; the net revenue of 2011 is $ 35624 ;", "table_2": "( in millions ) the operating income of 2013 is $ 11827 ; the operating income of 2012 is $ 13106 ; the operating income of 2011 is $ 14840 ;"}, "exe_ans": 0.37984, "tfidftopn": {"text_16": "pc client group the revenue and operating income for the pccg operating segment for each period were as follows: ."}, "program_re": "divide(13106, 34504)", "model_input": [["text_16", "pc client group the revenue and operating income for the pccg operating segment for each period were as follows: ."], ["table_1", "( in millions ) the net revenue of 2013 is $ 33039 ; the net revenue of 2012 is $ 34504 ; the net revenue of 2011 is $ 35624 ;"], ["table_2", "( in millions ) the operating income of 2013 is $ 11827 ; the operating income of 2012 is $ 13106 ; the operating income of 2011 is $ 14840 ;"]]}, "answers": ["38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000942", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for the pc client group in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "38%.", "rejected": "36%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what was the operating margin for the pc client group <TIME>?", "doc_prefix": "INTC", "base_question": "what was the operating margin for the pc client group <TIME>?", "original_question": "what was the operating margin for the pc client group in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "36%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "INTC/2013/page_40.pdf-1", "qa": {"question": "what was the operating margin for the pc client group in 2012?", "answer": "38%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "13106", "arg2": "34504", "res": "38%"}], "program": "divide(13106, 34504)", "gold_inds": {"table_1": "( in millions ) the net revenue of 2013 is $ 33039 ; the net revenue of 2012 is $ 34504 ; the net revenue of 2011 is $ 35624 ;", "table_2": "( in millions ) the operating income of 2013 is $ 11827 ; the operating income of 2012 is $ 13106 ; the operating income of 2011 is $ 14840 ;"}, "exe_ans": 0.37984, "tfidftopn": {"text_16": "pc client group the revenue and operating income for the pccg operating segment for each period were as follows: ."}, "program_re": "divide(13106, 34504)", "model_input": [["text_16", "pc client group the revenue and operating income for the pccg operating segment for each period were as follows: ."], ["table_1", "( in millions ) the net revenue of 2013 is $ 33039 ; the net revenue of 2012 is $ 34504 ; the net revenue of 2011 is $ 35624 ;"], ["table_2", "( in millions ) the operating income of 2013 is $ 11827 ; the operating income of 2012 is $ 13106 ; the operating income of 2011 is $ 14840 ;"]]}, "answers": ["38%"]}, "rejected_source": {"id": "INTC/2013/page_40.pdf-2", "qa": {"question": "what was the operating margin for the pc client group in 2013?", "answer": "36%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "11827", "arg2": "33039", "res": "36%"}], "program": "divide(11827, 33039)", "gold_inds": {"table_1": "( in millions ) the net revenue of 2013 is $ 33039 ; the net revenue of 2012 is $ 34504 ; the net revenue of 2011 is $ 35624 ;", "table_2": "( in millions ) the operating income of 2013 is $ 11827 ; the operating income of 2012 is $ 13106 ; the operating income of 2011 is $ 14840 ;"}, "exe_ans": 0.35797, "tfidftopn": {"text_16": "pc client group the revenue and operating income for the pccg operating segment for each period were as follows: ."}, "program_re": "divide(11827, 33039)", "model_input": [["text_16", "pc client group the revenue and operating income for the pccg operating segment for each period were as follows: ."], ["table_1", "( in millions ) the net revenue of 2013 is $ 33039 ; the net revenue of 2012 is $ 34504 ; the net revenue of 2011 is $ 35624 ;"], ["table_2", "( in millions ) the operating income of 2013 is $ 11827 ; the operating income of 2012 is $ 13106 ; the operating income of 2011 is $ 14840 ;"]]}, "answers": ["36%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000943", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: north american printing papers net sales where what percent of total printing paper sales in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "49%.", "rejected": "50%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || north american printing papers net sales where what percent of total printing paper sales <TIME>?", "doc_prefix": "IP", "base_question": "north american printing papers net sales where what percent of total printing paper sales <TIME>?", "original_question": "north american printing papers net sales where what percent of total printing paper sales in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"50%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "49%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "IP/2009/page_36.pdf-1", "qa": {"question": "north american printing papers net sales where what percent of total printing paper sales in 2009?", "answer": "49%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply1-1", "arg1": "2.8", "arg2": "const_1000", "res": "2800"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5680", "res": "49%"}], "program": "multiply(2.8, const_1000), divide(#0, 5680)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 5680 ; the sales of 2008 is $ 6810 ; the sales of 2007 is $ 6530 ;", "text_3": "north american printing papers net sales in 2009 were $ 2.8 billion compared with $ 3.4 billion in 2008 and $ 3.5 billion in 2007 ."}, "exe_ans": 0.49296, "tfidftopn": {"text_2": "printing papers in millions 2009 2008 2007 ."}, "program_re": "divide(multiply(2.8, const_1000), 5680)", "model_input": [["table_1", "in millions the sales of 2009 is $ 5680 ; the sales of 2008 is $ 6810 ; the sales of 2007 is $ 6530 ;"], ["table_2", "in millions the operating profit of 2009 is 1091 ; the operating profit of 2008 is 474 ; the operating profit of 2007 is 839 ;"], ["text_3", "north american printing papers net sales in 2009 were $ 2.8 billion compared with $ 3.4 billion in 2008 and $ 3.5 billion in 2007 ."]]}, "answers": ["49%"]}, "rejected_source": {"id": "IP/2009/page_36.pdf-2", "qa": {"question": "north american printing papers net sales where what percent of total printing paper sales in 2008?", "answer": "50%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply2-1", "arg1": "3.4", "arg2": "const_1000", "res": "3400"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6810", "res": "50%"}], "program": "multiply(3.4, const_1000), divide(#0, 6810)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 5680 ; the sales of 2008 is $ 6810 ; the sales of 2007 is $ 6530 ;", "text_3": "north american printing papers net sales in 2009 were $ 2.8 billion compared with $ 3.4 billion in 2008 and $ 3.5 billion in 2007 ."}, "exe_ans": 0.49927, "tfidftopn": {"text_2": "printing papers in millions 2009 2008 2007 ."}, "program_re": "divide(multiply(3.4, const_1000), 6810)", "model_input": [["text_2", "printing papers in millions 2009 2008 2007 ."], ["table_1", "in millions the sales of 2009 is $ 5680 ; the sales of 2008 is $ 6810 ; the sales of 2007 is $ 6530 ;"], ["text_3", "north american printing papers net sales in 2009 were $ 2.8 billion compared with $ 3.4 billion in 2008 and $ 3.5 billion in 2007 ."]]}, "answers": ["50%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000944", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: north american printing papers net sales where what percent of total printing paper sales in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "50%.", "rejected": "49%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || north american printing papers net sales where what percent of total printing paper sales <TIME>?", "doc_prefix": "IP", "base_question": "north american printing papers net sales where what percent of total printing paper sales <TIME>?", "original_question": "north american printing papers net sales where what percent of total printing paper sales in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"50%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "49%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "IP/2009/page_36.pdf-2", "qa": {"question": "north american printing papers net sales where what percent of total printing paper sales in 2008?", "answer": "50%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply2-1", "arg1": "3.4", "arg2": "const_1000", "res": "3400"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6810", "res": "50%"}], "program": "multiply(3.4, const_1000), divide(#0, 6810)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 5680 ; the sales of 2008 is $ 6810 ; the sales of 2007 is $ 6530 ;", "text_3": "north american printing papers net sales in 2009 were $ 2.8 billion compared with $ 3.4 billion in 2008 and $ 3.5 billion in 2007 ."}, "exe_ans": 0.49927, "tfidftopn": {"text_2": "printing papers in millions 2009 2008 2007 ."}, "program_re": "divide(multiply(3.4, const_1000), 6810)", "model_input": [["text_2", "printing papers in millions 2009 2008 2007 ."], ["table_1", "in millions the sales of 2009 is $ 5680 ; the sales of 2008 is $ 6810 ; the sales of 2007 is $ 6530 ;"], ["text_3", "north american printing papers net sales in 2009 were $ 2.8 billion compared with $ 3.4 billion in 2008 and $ 3.5 billion in 2007 ."]]}, "answers": ["50%"]}, "rejected_source": {"id": "IP/2009/page_36.pdf-1", "qa": {"question": "north american printing papers net sales where what percent of total printing paper sales in 2009?", "answer": "49%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply1-1", "arg1": "2.8", "arg2": "const_1000", "res": "2800"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5680", "res": "49%"}], "program": "multiply(2.8, const_1000), divide(#0, 5680)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 5680 ; the sales of 2008 is $ 6810 ; the sales of 2007 is $ 6530 ;", "text_3": "north american printing papers net sales in 2009 were $ 2.8 billion compared with $ 3.4 billion in 2008 and $ 3.5 billion in 2007 ."}, "exe_ans": 0.49296, "tfidftopn": {"text_2": "printing papers in millions 2009 2008 2007 ."}, "program_re": "divide(multiply(2.8, const_1000), 5680)", "model_input": [["table_1", "in millions the sales of 2009 is $ 5680 ; the sales of 2008 is $ 6810 ; the sales of 2007 is $ 6530 ;"], ["table_2", "in millions the operating profit of 2009 is 1091 ; the operating profit of 2008 is 474 ; the operating profit of 2007 is 839 ;"], ["text_3", "north american printing papers net sales in 2009 were $ 2.8 billion compared with $ 3.4 billion in 2008 and $ 3.5 billion in 2007 ."]]}, "answers": ["49%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000945", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in dollars spent on share repurchase between 2016 and 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-33%.", "rejected": "1053%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LLY || what was the percentage change in dollars spent on share repurchase <TIME>?", "doc_prefix": "LLY", "base_question": "what was the percentage change in dollars spent on share repurchase <TIME>?", "original_question": "what was the percentage change in dollars spent on share repurchase between 2016 and 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-33%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "1053%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "LLY/2018/page_75.pdf-1", "qa": {"question": "what was the percentage change in dollars spent on share repurchase between 2016 and 2017?", "answer": "-33%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus1-1", "arg1": "359.8", "arg2": "540.1", "res": "-180.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "540.1", "res": "-33%"}], "program": "subtract(359.8, 540.1), divide(#0, 540.1)", "gold_inds": {"text_20": "note 12 : shareholders' equity during 2018 , 2017 , and 2016 , we repurchased $ 4.15 billion , $ 359.8 million and $ 540.1 million , respectively , of shares associated with our share repurchase programs ."}, "exe_ans": -0.33383, "tfidftopn": {"text_22": "during 2018 , we repurchased $ 2.05 billion of shares , which completed the $ 5.00 billion share repurchase program announced in october 2013 and our board authorized an $ 8.00 billion share repurchase program .", "text_21": "a payment of $ 60.0 million was made in 2016 for shares repurchased in 2017 ."}, "program_re": "divide(subtract(359.8, 540.1), 540.1)", "model_input": [["text_9", "pursuant to this program , approximately 0.7 million shares , 1.1 million shares , and 1.0 million shares were issued during the years ended december 31 , 2018 , 2017 , and 2016 , respectively ."], ["text_20", "note 12 : shareholders' equity during 2018 , 2017 , and 2016 , we repurchased $ 4.15 billion , $ 359.8 million and $ 540.1 million , respectively , of shares associated with our share repurchase programs ."], ["text_22", "during 2018 , we repurchased $ 2.05 billion of shares , which completed the $ 5.00 billion share repurchase program announced in october 2013 and our board authorized an $ 8.00 billion share repurchase program ."]]}, "answers": ["-33%"]}, "rejected_source": {"id": "LLY/2018/page_75.pdf-2", "qa": {"question": "what was the percentage change in dollars spent on share repurchase between 2017 and 2018?", "answer": "1053%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "multiply2-1", "arg1": "4.15", "arg2": "const_1000", "res": "4150"}, {"op": "minus2-2", "arg1": "#0", "arg2": "359.8", "res": "3790.2"}, {"op": "divide2-3", "arg1": "#1", "arg2": "359.8", "res": "1053%"}], "program": "multiply(4.15, const_1000), subtract(#0, 359.8), divide(#1, 359.8)", "gold_inds": {"text_20": "note 12 : shareholders' equity during 2018 , 2017 , and 2016 , we repurchased $ 4.15 billion , $ 359.8 million and $ 540.1 million , respectively , of shares associated with our share repurchase programs ."}, "exe_ans": 10.53419, "tfidftopn": {"text_22": "during 2018 , we repurchased $ 2.05 billion of shares , which completed the $ 5.00 billion share repurchase program announced in october 2013 and our board authorized an $ 8.00 billion share repurchase program .", "text_26": "as of december 31 , 2018 and 2017 , no preferred stock was issued ."}, "program_re": "divide(subtract(multiply(4.15, const_1000), 359.8), 359.8)", "model_input": [["text_9", "pursuant to this program , approximately 0.7 million shares , 1.1 million shares , and 1.0 million shares were issued during the years ended december 31 , 2018 , 2017 , and 2016 , respectively ."], ["text_20", "note 12 : shareholders' equity during 2018 , 2017 , and 2016 , we repurchased $ 4.15 billion , $ 359.8 million and $ 540.1 million , respectively , of shares associated with our share repurchase programs ."], ["text_22", "during 2018 , we repurchased $ 2.05 billion of shares , which completed the $ 5.00 billion share repurchase program announced in october 2013 and our board authorized an $ 8.00 billion share repurchase program ."]]}, "answers": ["1053%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000946", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in dollars spent on share repurchase between 2017 and 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "1053%.", "rejected": "-33%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LLY || what was the percentage change in dollars spent on share repurchase <TIME>?", "doc_prefix": "LLY", "base_question": "what was the percentage change in dollars spent on share repurchase <TIME>?", "original_question": "what was the percentage change in dollars spent on share repurchase between 2017 and 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-33%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2016 and 2017"}], "1053%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "between 2017 and 2018"}]}, "chosen_source": {"id": "LLY/2018/page_75.pdf-2", "qa": {"question": "what was the percentage change in dollars spent on share repurchase between 2017 and 2018?", "answer": "1053%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "multiply2-1", "arg1": "4.15", "arg2": "const_1000", "res": "4150"}, {"op": "minus2-2", "arg1": "#0", "arg2": "359.8", "res": "3790.2"}, {"op": "divide2-3", "arg1": "#1", "arg2": "359.8", "res": "1053%"}], "program": "multiply(4.15, const_1000), subtract(#0, 359.8), divide(#1, 359.8)", "gold_inds": {"text_20": "note 12 : shareholders' equity during 2018 , 2017 , and 2016 , we repurchased $ 4.15 billion , $ 359.8 million and $ 540.1 million , respectively , of shares associated with our share repurchase programs ."}, "exe_ans": 10.53419, "tfidftopn": {"text_22": "during 2018 , we repurchased $ 2.05 billion of shares , which completed the $ 5.00 billion share repurchase program announced in october 2013 and our board authorized an $ 8.00 billion share repurchase program .", "text_26": "as of december 31 , 2018 and 2017 , no preferred stock was issued ."}, "program_re": "divide(subtract(multiply(4.15, const_1000), 359.8), 359.8)", "model_input": [["text_9", "pursuant to this program , approximately 0.7 million shares , 1.1 million shares , and 1.0 million shares were issued during the years ended december 31 , 2018 , 2017 , and 2016 , respectively ."], ["text_20", "note 12 : shareholders' equity during 2018 , 2017 , and 2016 , we repurchased $ 4.15 billion , $ 359.8 million and $ 540.1 million , respectively , of shares associated with our share repurchase programs ."], ["text_22", "during 2018 , we repurchased $ 2.05 billion of shares , which completed the $ 5.00 billion share repurchase program announced in october 2013 and our board authorized an $ 8.00 billion share repurchase program ."]]}, "answers": ["1053%"]}, "rejected_source": {"id": "LLY/2018/page_75.pdf-1", "qa": {"question": "what was the percentage change in dollars spent on share repurchase between 2016 and 2017?", "answer": "-33%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus1-1", "arg1": "359.8", "arg2": "540.1", "res": "-180.3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "540.1", "res": "-33%"}], "program": "subtract(359.8, 540.1), divide(#0, 540.1)", "gold_inds": {"text_20": "note 12 : shareholders' equity during 2018 , 2017 , and 2016 , we repurchased $ 4.15 billion , $ 359.8 million and $ 540.1 million , respectively , of shares associated with our share repurchase programs ."}, "exe_ans": -0.33383, "tfidftopn": {"text_22": "during 2018 , we repurchased $ 2.05 billion of shares , which completed the $ 5.00 billion share repurchase program announced in october 2013 and our board authorized an $ 8.00 billion share repurchase program .", "text_21": "a payment of $ 60.0 million was made in 2016 for shares repurchased in 2017 ."}, "program_re": "divide(subtract(359.8, 540.1), 540.1)", "model_input": [["text_9", "pursuant to this program , approximately 0.7 million shares , 1.1 million shares , and 1.0 million shares were issued during the years ended december 31 , 2018 , 2017 , and 2016 , respectively ."], ["text_20", "note 12 : shareholders' equity during 2018 , 2017 , and 2016 , we repurchased $ 4.15 billion , $ 359.8 million and $ 540.1 million , respectively , of shares associated with our share repurchase programs ."], ["text_22", "during 2018 , we repurchased $ 2.05 billion of shares , which completed the $ 5.00 billion share repurchase program announced in october 2013 and our board authorized an $ 8.00 billion share repurchase program ."]]}, "answers": ["-33%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000947", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average purchase price of company repurchased shares in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "68.38.", "rejected": "73.08.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EW || what was the average purchase price of company repurchased shares <TIME>?", "doc_prefix": "EW", "base_question": "what was the average purchase price of company repurchased shares <TIME>?", "original_question": "what was the average purchase price of company repurchased shares in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"73.08": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "68.38": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "EW/2014/page_88.pdf-1", "qa": {"question": "what was the average purchase price of company repurchased shares in 2014?", "answer": "68.38", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "divide1-1", "arg1": "300.9", "arg2": "4.4", "res": "68.38"}], "program": "divide(300.9, 4.4)", "gold_inds": {"text_20": "during 2014 , 2013 , and 2012 , the company repurchased 4.4 million , 6.8 million , and 4.0 million shares , respectively , at an aggregate cost of $ 300.9 million , $ 497.0 million , and $ 353.2 million , respectively , including shares purchased under the accelerated share repurchase ( 2018 2018asr 2019 2019 ) agreements described below and shares ."}, "exe_ans": 68.38636, "tfidftopn": {"text_19": "stock repurchased under these programs will be used to offset obligations under the company 2019s employee stock option programs and reduce the total shares outstanding .", "text_17": "common stock treasury stock in may 2013 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock from time to time until december 31 , 2016 ."}, "program_re": "divide(300.9, 4.4)", "model_input": [["table_4", "2015 the 2019 of $ 3.7 is 4.1 ;"], ["text_17", "common stock treasury stock in may 2013 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock from time to time until december 31 , 2016 ."], ["text_20", "during 2014 , 2013 , and 2012 , the company repurchased 4.4 million , 6.8 million , and 4.0 million shares , respectively , at an aggregate cost of $ 300.9 million , $ 497.0 million , and $ 353.2 million , respectively , including shares purchased under the accelerated share repurchase ( 2018 2018asr 2019 2019 ) agreements described below and shares ."]]}, "answers": ["68.38"]}, "rejected_source": {"id": "EW/2014/page_88.pdf-2", "qa": {"question": "what was the average purchase price of company repurchased shares in 2013?", "answer": "73.08", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "divide2-1", "arg1": "497.0", "arg2": "6.8", "res": "73.08"}], "program": "divide(497.0, 6.8)", "gold_inds": {"text_20": "during 2014 , 2013 , and 2012 , the company repurchased 4.4 million , 6.8 million , and 4.0 million shares , respectively , at an aggregate cost of $ 300.9 million , $ 497.0 million , and $ 353.2 million , respectively , including shares purchased under the accelerated share repurchase ( 2018 2018asr 2019 2019 ) agreements described below and shares ."}, "exe_ans": 73.08824, "tfidftopn": {"text_19": "stock repurchased under these programs will be used to offset obligations under the company 2019s employee stock option programs and reduce the total shares outstanding .", "text_17": "common stock treasury stock in may 2013 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock from time to time until december 31 , 2016 ."}, "program_re": "divide(497.0, 6.8)", "model_input": [["table_4", "2015 the 2019 of $ 3.7 is 4.1 ;"], ["text_17", "common stock treasury stock in may 2013 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock from time to time until december 31 , 2016 ."], ["text_20", "during 2014 , 2013 , and 2012 , the company repurchased 4.4 million , 6.8 million , and 4.0 million shares , respectively , at an aggregate cost of $ 300.9 million , $ 497.0 million , and $ 353.2 million , respectively , including shares purchased under the accelerated share repurchase ( 2018 2018asr 2019 2019 ) agreements described below and shares ."]]}, "answers": ["73.08"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000948", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average purchase price of company repurchased shares in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "73.08.", "rejected": "68.38.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EW || what was the average purchase price of company repurchased shares <TIME>?", "doc_prefix": "EW", "base_question": "what was the average purchase price of company repurchased shares <TIME>?", "original_question": "what was the average purchase price of company repurchased shares in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"73.08": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "68.38": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "EW/2014/page_88.pdf-2", "qa": {"question": "what was the average purchase price of company repurchased shares in 2013?", "answer": "73.08", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "divide2-1", "arg1": "497.0", "arg2": "6.8", "res": "73.08"}], "program": "divide(497.0, 6.8)", "gold_inds": {"text_20": "during 2014 , 2013 , and 2012 , the company repurchased 4.4 million , 6.8 million , and 4.0 million shares , respectively , at an aggregate cost of $ 300.9 million , $ 497.0 million , and $ 353.2 million , respectively , including shares purchased under the accelerated share repurchase ( 2018 2018asr 2019 2019 ) agreements described below and shares ."}, "exe_ans": 73.08824, "tfidftopn": {"text_19": "stock repurchased under these programs will be used to offset obligations under the company 2019s employee stock option programs and reduce the total shares outstanding .", "text_17": "common stock treasury stock in may 2013 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock from time to time until december 31 , 2016 ."}, "program_re": "divide(497.0, 6.8)", "model_input": [["table_4", "2015 the 2019 of $ 3.7 is 4.1 ;"], ["text_17", "common stock treasury stock in may 2013 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock from time to time until december 31 , 2016 ."], ["text_20", "during 2014 , 2013 , and 2012 , the company repurchased 4.4 million , 6.8 million , and 4.0 million shares , respectively , at an aggregate cost of $ 300.9 million , $ 497.0 million , and $ 353.2 million , respectively , including shares purchased under the accelerated share repurchase ( 2018 2018asr 2019 2019 ) agreements described below and shares ."]]}, "answers": ["73.08"]}, "rejected_source": {"id": "EW/2014/page_88.pdf-1", "qa": {"question": "what was the average purchase price of company repurchased shares in 2014?", "answer": "68.38", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "divide1-1", "arg1": "300.9", "arg2": "4.4", "res": "68.38"}], "program": "divide(300.9, 4.4)", "gold_inds": {"text_20": "during 2014 , 2013 , and 2012 , the company repurchased 4.4 million , 6.8 million , and 4.0 million shares , respectively , at an aggregate cost of $ 300.9 million , $ 497.0 million , and $ 353.2 million , respectively , including shares purchased under the accelerated share repurchase ( 2018 2018asr 2019 2019 ) agreements described below and shares ."}, "exe_ans": 68.38636, "tfidftopn": {"text_19": "stock repurchased under these programs will be used to offset obligations under the company 2019s employee stock option programs and reduce the total shares outstanding .", "text_17": "common stock treasury stock in may 2013 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock from time to time until december 31 , 2016 ."}, "program_re": "divide(300.9, 4.4)", "model_input": [["table_4", "2015 the 2019 of $ 3.7 is 4.1 ;"], ["text_17", "common stock treasury stock in may 2013 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock from time to time until december 31 , 2016 ."], ["text_20", "during 2014 , 2013 , and 2012 , the company repurchased 4.4 million , 6.8 million , and 4.0 million shares , respectively , at an aggregate cost of $ 300.9 million , $ 497.0 million , and $ 353.2 million , respectively , including shares purchased under the accelerated share repurchase ( 2018 2018asr 2019 2019 ) agreements described below and shares ."]]}, "answers": ["68.38"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000949", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were operating expenses in 2003?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "1638.6.", "rejected": "1749.6.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what were operating expenses <TIME>?", "doc_prefix": "PKG", "base_question": "what were operating expenses <TIME>?", "original_question": "what were operating expenses in 2003?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1638.6": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "1749.6": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "PKG/2005/page_29.pdf-1", "qa": {"question": "what were operating expenses in 2003?", "answer": "1638.6", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1735.5", "arg2": "96.9", "res": "1638.6"}], "program": "subtract(1735.5, 96.9)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of for the year ended december 31 , 2003 is $ 1735.5 ; the net sales of change is $ 154.6 ;", "table_2": "( in millions ) the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of for the year ended december 31 , 2003 is $ 96.9 ; the income before interest and taxes of change is $ 43.6 ;"}, "exe_ans": 1638.6, "tfidftopn": {"text_15": "excluding these special items , operating income decreased $ 3.4 million in 2004 compared to 2003 ."}, "program_re": "subtract(1735.5, 96.9)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of for the year ended december 31 , 2003 is $ 1735.5 ; the net sales of change is $ 154.6 ;"], ["table_2", "( in millions ) the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of for the year ended december 31 , 2003 is $ 96.9 ; the income before interest and taxes of change is $ 43.6 ;"], ["table_6", "( in millions ) the net income ( loss ) of for the year ended december 31 , 2004 is $ 68.7 ; the net income ( loss ) of for the year ended december 31 , 2003 is $ -14.4 ( 14.4 ) ; the net income ( loss ) of change is $ 83.1 ;"]]}, "answers": ["1638.6"]}, "rejected_source": {"id": "PKG/2005/page_29.pdf-3", "qa": {"question": "what were operating expenses in 2004?", "answer": "1749.6", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1890.1", "arg2": "140.5", "res": "1749.6"}], "program": "subtract(1890.1, 140.5)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of for the year ended december 31 , 2003 is $ 1735.5 ; the net sales of change is $ 154.6 ;", "table_2": "( in millions ) the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of for the year ended december 31 , 2003 is $ 96.9 ; the income before interest and taxes of change is $ 43.6 ;"}, "exe_ans": 1749.6, "tfidftopn": {"text_15": "excluding these special items , operating income decreased $ 3.4 million in 2004 compared to 2003 ."}, "program_re": "subtract(1890.1, 140.5)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of for the year ended december 31 , 2003 is $ 1735.5 ; the net sales of change is $ 154.6 ;"], ["table_2", "( in millions ) the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of for the year ended december 31 , 2003 is $ 96.9 ; the income before interest and taxes of change is $ 43.6 ;"], ["table_6", "( in millions ) the net income ( loss ) of for the year ended december 31 , 2004 is $ 68.7 ; the net income ( loss ) of for the year ended december 31 , 2003 is $ -14.4 ( 14.4 ) ; the net income ( loss ) of change is $ 83.1 ;"]]}, "answers": ["1749.6"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000950", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were operating expenses in 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "1749.6.", "rejected": "1638.6.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what were operating expenses <TIME>?", "doc_prefix": "PKG", "base_question": "what were operating expenses <TIME>?", "original_question": "what were operating expenses in 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1638.6": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "1749.6": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}]}, "chosen_source": {"id": "PKG/2005/page_29.pdf-3", "qa": {"question": "what were operating expenses in 2004?", "answer": "1749.6", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1890.1", "arg2": "140.5", "res": "1749.6"}], "program": "subtract(1890.1, 140.5)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of for the year ended december 31 , 2003 is $ 1735.5 ; the net sales of change is $ 154.6 ;", "table_2": "( in millions ) the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of for the year ended december 31 , 2003 is $ 96.9 ; the income before interest and taxes of change is $ 43.6 ;"}, "exe_ans": 1749.6, "tfidftopn": {"text_15": "excluding these special items , operating income decreased $ 3.4 million in 2004 compared to 2003 ."}, "program_re": "subtract(1890.1, 140.5)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of for the year ended december 31 , 2003 is $ 1735.5 ; the net sales of change is $ 154.6 ;"], ["table_2", "( in millions ) the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of for the year ended december 31 , 2003 is $ 96.9 ; the income before interest and taxes of change is $ 43.6 ;"], ["table_6", "( in millions ) the net income ( loss ) of for the year ended december 31 , 2004 is $ 68.7 ; the net income ( loss ) of for the year ended december 31 , 2003 is $ -14.4 ( 14.4 ) ; the net income ( loss ) of change is $ 83.1 ;"]]}, "answers": ["1749.6"]}, "rejected_source": {"id": "PKG/2005/page_29.pdf-1", "qa": {"question": "what were operating expenses in 2003?", "answer": "1638.6", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1735.5", "arg2": "96.9", "res": "1638.6"}], "program": "subtract(1735.5, 96.9)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of for the year ended december 31 , 2003 is $ 1735.5 ; the net sales of change is $ 154.6 ;", "table_2": "( in millions ) the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of for the year ended december 31 , 2003 is $ 96.9 ; the income before interest and taxes of change is $ 43.6 ;"}, "exe_ans": 1638.6, "tfidftopn": {"text_15": "excluding these special items , operating income decreased $ 3.4 million in 2004 compared to 2003 ."}, "program_re": "subtract(1735.5, 96.9)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2004 is $ 1890.1 ; the net sales of for the year ended december 31 , 2003 is $ 1735.5 ; the net sales of change is $ 154.6 ;"], ["table_2", "( in millions ) the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of for the year ended december 31 , 2003 is $ 96.9 ; the income before interest and taxes of change is $ 43.6 ;"], ["table_6", "( in millions ) the net income ( loss ) of for the year ended december 31 , 2004 is $ 68.7 ; the net income ( loss ) of for the year ended december 31 , 2003 is $ -14.4 ( 14.4 ) ; the net income ( loss ) of change is $ 83.1 ;"]]}, "answers": ["1638.6"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000951", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average return on invested capital from 2002 to 2006?\nReference time interval: 2002-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "12.02%.", "rejected": "15.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the average return on invested capital <TIME>?", "doc_prefix": "LMT", "base_question": "what was the average return on invested capital <TIME>?", "original_question": "what was the average return on invested capital from 2002 to 2006?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2002 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12.02%": [{"start": "2002-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2002 to 2006"}], "15.1%": [{"start": "2003-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2003 to 2007"}]}, "chosen_source": {"id": "LMT/2006/page_39.pdf-3", "qa": {"question": "what was the average return on invested capital from 2002 to 2006?", "answer": "12.02%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "average1-1", "arg1": "return on invested capital", "arg2": "none", "res": "12.02%"}], "program": "table_average(return on invested capital, none)", "gold_inds": {"table_8": "( in millions ) the return on invested capital of 2006 is 19.2% ( 19.2 % ) ; the return on invested capital of 2005 is 14.5% ( 14.5 % ) ; the return on invested capital of 2004 is 10.8% ( 10.8 % ) ; the return on invested capital of 2003 is 9.6% ( 9.6 % ) ; the return on invested capital of 2002 is 6.0% ( 6.0 % ) ;"}, "exe_ans": 0.1202, "tfidftopn": {"table_7": "( in millions ) The average invested capital of 2006 is $ 14419 ; The average invested capital of 2005 is $ 14212 ; The average invested capital of 2004 is $ 14243 ; The average invested capital of 2003 is $ 14286 ; The average invested capital of 2002 is $ 14685 ;", "table_3": "( in millions ) The return of 2006 is $ 2764 ; The return of 2005 is $ 2066 ; The return of 2004 is $ 1542 ; The return of 2003 is $ 1370 ; The return of 2002 is $ 878 ;"}, "program_re": "table_average(return on invested capital, none)", "model_input": [["table_3", "( in millions ) the return of 2006 is $ 2764 ; the return of 2005 is $ 2066 ; the return of 2004 is $ 1542 ; the return of 2003 is $ 1370 ; the return of 2002 is $ 878 ;"], ["table_7", "( in millions ) the average invested capital of 2006 is $ 14419 ; the average invested capital of 2005 is $ 14212 ; the average invested capital of 2004 is $ 14243 ; the average invested capital of 2003 is $ 14286 ; the average invested capital of 2002 is $ 14685 ;"], ["table_8", "( in millions ) the return on invested capital of 2006 is 19.2% ( 19.2 % ) ; the return on invested capital of 2005 is 14.5% ( 14.5 % ) ; the return on invested capital of 2004 is 10.8% ( 10.8 % ) ; the return on invested capital of 2003 is 9.6% ( 9.6 % ) ; the return on invested capital of 2002 is 6.0% ( 6.0 % ) ;"]]}, "answers": ["12.02%"]}, "rejected_source": {"id": "LMT/2007/page_39.pdf-3", "qa": {"question": "what was the average return on invested capital from 2003 to 2007?", "answer": "15.1%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "return on invested capital", "arg2": "none", "res": "15.1%"}], "program": "table_average(return on invested capital, none)", "gold_inds": {"table_8": "( in millions ) the return on invested capital of 2007 is 21.4% ( 21.4 % ) ; the return on invested capital of 2006 is 19.2% ( 19.2 % ) ; the return on invested capital of 2005 is 14.5% ( 14.5 % ) ; the return on invested capital of 2004 is 10.8% ( 10.8 % ) ; the return on invested capital of 2003 is 9.6% ( 9.6 % ) ;"}, "exe_ans": 0.151, "tfidftopn": {"table_7": "( in millions ) The average invested capital of 2007 is $ 15248 ; The average invested capital of 2006 is $ 14419 ; The average invested capital of 2005 is $ 14212 ; The average invested capital of 2004 is $ 14243 ; The average invested capital of 2003 is $ 14286 ;", "table_3": "( in millions ) The return of 2007 is $ 3262 ; The return of 2006 is $ 2764 ; The return of 2005 is $ 2066 ; The return of 2004 is $ 1542 ; The return of 2003 is $ 1370 ;"}, "program_re": "table_average(return on invested capital, none)", "model_input": [["table_7", "( in millions ) the average invested capital of 2007 is $ 15248 ; the average invested capital of 2006 is $ 14419 ; the average invested capital of 2005 is $ 14212 ; the average invested capital of 2004 is $ 14243 ; the average invested capital of 2003 is $ 14286 ;"], ["table_8", "( in millions ) the return on invested capital of 2007 is 21.4% ( 21.4 % ) ; the return on invested capital of 2006 is 19.2% ( 19.2 % ) ; the return on invested capital of 2005 is 14.5% ( 14.5 % ) ; the return on invested capital of 2004 is 10.8% ( 10.8 % ) ; the return on invested capital of 2003 is 9.6% ( 9.6 % ) ;"], ["text_20", "5 yearly averages are calculated using balances at the start of the year and at the end of each quarter. ."]]}, "answers": ["15.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000952", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average return on invested capital from 2003 to 2007?\nReference time interval: 2003-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "15.1%.", "rejected": "12.02%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the average return on invested capital <TIME>?", "doc_prefix": "LMT", "base_question": "what was the average return on invested capital <TIME>?", "original_question": "what was the average return on invested capital from 2003 to 2007?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2003 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12.02%": [{"start": "2002-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2002 to 2006"}], "15.1%": [{"start": "2003-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2003 to 2007"}]}, "chosen_source": {"id": "LMT/2007/page_39.pdf-3", "qa": {"question": "what was the average return on invested capital from 2003 to 2007?", "answer": "15.1%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "return on invested capital", "arg2": "none", "res": "15.1%"}], "program": "table_average(return on invested capital, none)", "gold_inds": {"table_8": "( in millions ) the return on invested capital of 2007 is 21.4% ( 21.4 % ) ; the return on invested capital of 2006 is 19.2% ( 19.2 % ) ; the return on invested capital of 2005 is 14.5% ( 14.5 % ) ; the return on invested capital of 2004 is 10.8% ( 10.8 % ) ; the return on invested capital of 2003 is 9.6% ( 9.6 % ) ;"}, "exe_ans": 0.151, "tfidftopn": {"table_7": "( in millions ) The average invested capital of 2007 is $ 15248 ; The average invested capital of 2006 is $ 14419 ; The average invested capital of 2005 is $ 14212 ; The average invested capital of 2004 is $ 14243 ; The average invested capital of 2003 is $ 14286 ;", "table_3": "( in millions ) The return of 2007 is $ 3262 ; The return of 2006 is $ 2764 ; The return of 2005 is $ 2066 ; The return of 2004 is $ 1542 ; The return of 2003 is $ 1370 ;"}, "program_re": "table_average(return on invested capital, none)", "model_input": [["table_7", "( in millions ) the average invested capital of 2007 is $ 15248 ; the average invested capital of 2006 is $ 14419 ; the average invested capital of 2005 is $ 14212 ; the average invested capital of 2004 is $ 14243 ; the average invested capital of 2003 is $ 14286 ;"], ["table_8", "( in millions ) the return on invested capital of 2007 is 21.4% ( 21.4 % ) ; the return on invested capital of 2006 is 19.2% ( 19.2 % ) ; the return on invested capital of 2005 is 14.5% ( 14.5 % ) ; the return on invested capital of 2004 is 10.8% ( 10.8 % ) ; the return on invested capital of 2003 is 9.6% ( 9.6 % ) ;"], ["text_20", "5 yearly averages are calculated using balances at the start of the year and at the end of each quarter. ."]]}, "answers": ["15.1%"]}, "rejected_source": {"id": "LMT/2006/page_39.pdf-3", "qa": {"question": "what was the average return on invested capital from 2002 to 2006?", "answer": "12.02%", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "average1-1", "arg1": "return on invested capital", "arg2": "none", "res": "12.02%"}], "program": "table_average(return on invested capital, none)", "gold_inds": {"table_8": "( in millions ) the return on invested capital of 2006 is 19.2% ( 19.2 % ) ; the return on invested capital of 2005 is 14.5% ( 14.5 % ) ; the return on invested capital of 2004 is 10.8% ( 10.8 % ) ; the return on invested capital of 2003 is 9.6% ( 9.6 % ) ; the return on invested capital of 2002 is 6.0% ( 6.0 % ) ;"}, "exe_ans": 0.1202, "tfidftopn": {"table_7": "( in millions ) The average invested capital of 2006 is $ 14419 ; The average invested capital of 2005 is $ 14212 ; The average invested capital of 2004 is $ 14243 ; The average invested capital of 2003 is $ 14286 ; The average invested capital of 2002 is $ 14685 ;", "table_3": "( in millions ) The return of 2006 is $ 2764 ; The return of 2005 is $ 2066 ; The return of 2004 is $ 1542 ; The return of 2003 is $ 1370 ; The return of 2002 is $ 878 ;"}, "program_re": "table_average(return on invested capital, none)", "model_input": [["table_3", "( in millions ) the return of 2006 is $ 2764 ; the return of 2005 is $ 2066 ; the return of 2004 is $ 1542 ; the return of 2003 is $ 1370 ; the return of 2002 is $ 878 ;"], ["table_7", "( in millions ) the average invested capital of 2006 is $ 14419 ; the average invested capital of 2005 is $ 14212 ; the average invested capital of 2004 is $ 14243 ; the average invested capital of 2003 is $ 14286 ; the average invested capital of 2002 is $ 14685 ;"], ["table_8", "( in millions ) the return on invested capital of 2006 is 19.2% ( 19.2 % ) ; the return on invested capital of 2005 is 14.5% ( 14.5 % ) ; the return on invested capital of 2004 is 10.8% ( 10.8 % ) ; the return on invested capital of 2003 is 9.6% ( 9.6 % ) ; the return on invested capital of 2002 is 6.0% ( 6.0 % ) ;"]]}, "answers": ["12.02%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000953", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in backlog from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "6%.", "rejected": "8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the percentage change in backlog <TIME>?", "doc_prefix": "LMT", "base_question": "what was the percentage change in backlog <TIME>?", "original_question": "what was the percentage change in backlog from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "8%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "LMT/2007/page_55.pdf-4", "qa": {"question": "what was the percentage change in backlog from 2005 to 2006?", "answer": "6%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "19700", "arg2": "18600", "res": "1100"}, {"op": "divide1-2", "arg1": "#0", "arg2": "18600", "res": "6%"}], "program": "subtract(19700, 18600), divide(#0, 18600)", "gold_inds": {"table_3": "( in millions ) the backlog at year-end of 2007 is 21200 ; the backlog at year-end of 2006 is 19700 ; the backlog at year-end of 2005 is 18600 ;"}, "exe_ans": 0.05914, "tfidftopn": {"text_12": "backlog decreased in 2007 as compared to 2006 primarily as a result of sales volume on the f-35 program .", "text_20": "net sales for electronic systems increased by 7% ( 7 % ) in 2006 compared to 2005 ."}, "program_re": "divide(subtract(19700, 18600), 18600)", "model_input": [["table_1", "( in millions ) the net sales of 2007 is $ 11143 ; the net sales of 2006 is $ 10519 ; the net sales of 2005 is $ 9811 ;"], ["table_2", "( in millions ) the operating profit of 2007 is 1410 ; the operating profit of 2006 is 1264 ; the operating profit of 2005 is 1078 ;"], ["table_3", "( in millions ) the backlog at year-end of 2007 is 21200 ; the backlog at year-end of 2006 is 19700 ; the backlog at year-end of 2005 is 18600 ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "LMT/2007/page_55.pdf-3", "qa": {"question": "what was the percentage change in backlog from 2006 to 2007?", "answer": "8%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "21200", "arg2": "19700", "res": "1500"}, {"op": "divide2-2", "arg1": "#0", "arg2": "19700", "res": "8%"}], "program": "subtract(21200, 19700), divide(#0, 19700)", "gold_inds": {"table_3": "( in millions ) the backlog at year-end of 2007 is 21200 ; the backlog at year-end of 2006 is 19700 ; the backlog at year-end of 2005 is 18600 ;"}, "exe_ans": 0.07614, "tfidftopn": {"text_12": "backlog decreased in 2007 as compared to 2006 primarily as a result of sales volume on the f-35 program .", "text_32": "the increase in backlog during 2007 over 2006 resulted primarily from increased orders for certain tactical missile programs and fire control systems at m&fc and platform integration programs at pt&e. ."}, "program_re": "divide(subtract(21200, 19700), 19700)", "model_input": [["table_1", "( in millions ) the net sales of 2007 is $ 11143 ; the net sales of 2006 is $ 10519 ; the net sales of 2005 is $ 9811 ;"], ["table_3", "( in millions ) the backlog at year-end of 2007 is 21200 ; the backlog at year-end of 2006 is 19700 ; the backlog at year-end of 2005 is 18600 ;"], ["text_32", "the increase in backlog during 2007 over 2006 resulted primarily from increased orders for certain tactical missile programs and fire control systems at m&fc and platform integration programs at pt&e. ."]]}, "answers": ["8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000954", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in backlog from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "8%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the percentage change in backlog <TIME>?", "doc_prefix": "LMT", "base_question": "what was the percentage change in backlog <TIME>?", "original_question": "what was the percentage change in backlog from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "8%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "LMT/2007/page_55.pdf-3", "qa": {"question": "what was the percentage change in backlog from 2006 to 2007?", "answer": "8%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "21200", "arg2": "19700", "res": "1500"}, {"op": "divide2-2", "arg1": "#0", "arg2": "19700", "res": "8%"}], "program": "subtract(21200, 19700), divide(#0, 19700)", "gold_inds": {"table_3": "( in millions ) the backlog at year-end of 2007 is 21200 ; the backlog at year-end of 2006 is 19700 ; the backlog at year-end of 2005 is 18600 ;"}, "exe_ans": 0.07614, "tfidftopn": {"text_12": "backlog decreased in 2007 as compared to 2006 primarily as a result of sales volume on the f-35 program .", "text_32": "the increase in backlog during 2007 over 2006 resulted primarily from increased orders for certain tactical missile programs and fire control systems at m&fc and platform integration programs at pt&e. ."}, "program_re": "divide(subtract(21200, 19700), 19700)", "model_input": [["table_1", "( in millions ) the net sales of 2007 is $ 11143 ; the net sales of 2006 is $ 10519 ; the net sales of 2005 is $ 9811 ;"], ["table_3", "( in millions ) the backlog at year-end of 2007 is 21200 ; the backlog at year-end of 2006 is 19700 ; the backlog at year-end of 2005 is 18600 ;"], ["text_32", "the increase in backlog during 2007 over 2006 resulted primarily from increased orders for certain tactical missile programs and fire control systems at m&fc and platform integration programs at pt&e. ."]]}, "answers": ["8%"]}, "rejected_source": {"id": "LMT/2007/page_55.pdf-4", "qa": {"question": "what was the percentage change in backlog from 2005 to 2006?", "answer": "6%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "19700", "arg2": "18600", "res": "1100"}, {"op": "divide1-2", "arg1": "#0", "arg2": "18600", "res": "6%"}], "program": "subtract(19700, 18600), divide(#0, 18600)", "gold_inds": {"table_3": "( in millions ) the backlog at year-end of 2007 is 21200 ; the backlog at year-end of 2006 is 19700 ; the backlog at year-end of 2005 is 18600 ;"}, "exe_ans": 0.05914, "tfidftopn": {"text_12": "backlog decreased in 2007 as compared to 2006 primarily as a result of sales volume on the f-35 program .", "text_20": "net sales for electronic systems increased by 7% ( 7 % ) in 2006 compared to 2005 ."}, "program_re": "divide(subtract(19700, 18600), 18600)", "model_input": [["table_1", "( in millions ) the net sales of 2007 is $ 11143 ; the net sales of 2006 is $ 10519 ; the net sales of 2005 is $ 9811 ;"], ["table_2", "( in millions ) the operating profit of 2007 is 1410 ; the operating profit of 2006 is 1264 ; the operating profit of 2005 is 1078 ;"], ["table_3", "( in millions ) the backlog at year-end of 2007 is 21200 ; the backlog at year-end of 2006 is 19700 ; the backlog at year-end of 2005 is 18600 ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000955", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the cash dividends received by the company in 2012 compare to 2011?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "6.4%.", "rejected": "9.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the percentage change in the cash dividends received by the company <TIME> compare to <TIME>?", "doc_prefix": "CE", "base_question": "what is the percentage change in the cash dividends received by the company <TIME> compare to <TIME>?", "original_question": "what is the percentage change in the cash dividends received by the company in 2012 compare to 2011?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "6.4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "CE/2012/page_16.pdf-1", "qa": {"question": "what is the percentage change in the cash dividends received by the company in 2012 compare to 2011?", "answer": "6.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "83", "arg2": "78", "res": "5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "78", "res": "6.4%"}], "program": "subtract(83, 78), divide(#0, 78)", "gold_inds": {"text_19": "in 2012 , 2011 and 2010 , we received cash dividends of $ 83 million , $ 78 million and $ 71 million , respectively ."}, "exe_ans": 0.0641, "tfidftopn": {"text_22": "similar expansions since the ventures were formed have led to earnings growth and increased dividends for the company .", "text_5": "fortron is a limited liability company whose members are ticona fortron inc ."}, "program_re": "divide(subtract(83, 78), 78)", "model_input": [["text_19", "in 2012 , 2011 and 2010 , we received cash dividends of $ 83 million , $ 78 million and $ 71 million , respectively ."], ["table_1", "the infraserv gmbh & co . gendorf kg of as of december 31 2012 ( in percentages ) is 39 ;"], ["table_3", "the infraserv gmbh & co . hoechst kg of as of december 31 2012 ( in percentages ) is 32 ;"]]}, "answers": ["6.4%"]}, "rejected_source": {"id": "CE/2012/page_16.pdf-2", "qa": {"question": "what is the percentage change in the cash dividends received by the company in 2011 compare to 2010?", "answer": "9.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus2-1", "arg1": "78", "arg2": "71", "res": "7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "71", "res": "9.9%"}], "program": "subtract(78, 71), divide(#0, 71)", "gold_inds": {"text_19": "in 2012 , 2011 and 2010 , we received cash dividends of $ 83 million , $ 78 million and $ 71 million , respectively ."}, "exe_ans": 0.09859, "tfidftopn": {"text_22": "similar expansions since the ventures were formed have led to earnings growth and increased dividends for the company .", "text_5": "fortron is a limited liability company whose members are ticona fortron inc ."}, "program_re": "divide(subtract(78, 71), 71)", "model_input": [["text_10", "we hold ownership interest in three separate acetate production ventures in china as follows : nantong cellulose fibers co ."], ["text_19", "in 2012 , 2011 and 2010 , we received cash dividends of $ 83 million , $ 78 million and $ 71 million , respectively ."], ["text_25", "although our ownership interest in each of our china acetate ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states ( \"us gaap\" ) ."]]}, "answers": ["9.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000956", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the cash dividends received by the company in 2011 compare to 2010?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "9.9%.", "rejected": "6.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CE || what is the percentage change in the cash dividends received by the company <TIME> compare to <TIME>?", "doc_prefix": "CE", "base_question": "what is the percentage change in the cash dividends received by the company <TIME> compare to <TIME>?", "original_question": "what is the percentage change in the cash dividends received by the company in 2011 compare to 2010?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"9.9%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "6.4%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "CE/2012/page_16.pdf-2", "qa": {"question": "what is the percentage change in the cash dividends received by the company in 2011 compare to 2010?", "answer": "9.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus2-1", "arg1": "78", "arg2": "71", "res": "7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "71", "res": "9.9%"}], "program": "subtract(78, 71), divide(#0, 71)", "gold_inds": {"text_19": "in 2012 , 2011 and 2010 , we received cash dividends of $ 83 million , $ 78 million and $ 71 million , respectively ."}, "exe_ans": 0.09859, "tfidftopn": {"text_22": "similar expansions since the ventures were formed have led to earnings growth and increased dividends for the company .", "text_5": "fortron is a limited liability company whose members are ticona fortron inc ."}, "program_re": "divide(subtract(78, 71), 71)", "model_input": [["text_10", "we hold ownership interest in three separate acetate production ventures in china as follows : nantong cellulose fibers co ."], ["text_19", "in 2012 , 2011 and 2010 , we received cash dividends of $ 83 million , $ 78 million and $ 71 million , respectively ."], ["text_25", "although our ownership interest in each of our china acetate ventures exceeds 20% ( 20 % ) , we account for these investments using the cost method of accounting because we determined that we cannot exercise significant influence over these entities due to local government investment in and influence over these entities , limitations on our involvement in the day-to-day operations and the present inability of the entities to provide timely financial information prepared in accordance with generally accepted accounting principles in the united states ( \"us gaap\" ) ."]]}, "answers": ["9.9%"]}, "rejected_source": {"id": "CE/2012/page_16.pdf-1", "qa": {"question": "what is the percentage change in the cash dividends received by the company in 2012 compare to 2011?", "answer": "6.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "83", "arg2": "78", "res": "5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "78", "res": "6.4%"}], "program": "subtract(83, 78), divide(#0, 78)", "gold_inds": {"text_19": "in 2012 , 2011 and 2010 , we received cash dividends of $ 83 million , $ 78 million and $ 71 million , respectively ."}, "exe_ans": 0.0641, "tfidftopn": {"text_22": "similar expansions since the ventures were formed have led to earnings growth and increased dividends for the company .", "text_5": "fortron is a limited liability company whose members are ticona fortron inc ."}, "program_re": "divide(subtract(83, 78), 78)", "model_input": [["text_19", "in 2012 , 2011 and 2010 , we received cash dividends of $ 83 million , $ 78 million and $ 71 million , respectively ."], ["table_1", "the infraserv gmbh & co . gendorf kg of as of december 31 2012 ( in percentages ) is 39 ;"], ["table_3", "the infraserv gmbh & co . hoechst kg of as of december 31 2012 ( in percentages ) is 32 ;"]]}, "answers": ["6.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000957", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the average price of repurchased shares from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "1.5%.", "rejected": "4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the growth rate in the average price of repurchased shares <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the growth rate in the average price of repurchased shares <TIME>?", "original_question": "what is the growth rate in the average price of repurchased shares from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.7%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "9.0%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "1.5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "ADBE/2012/page_113.pdf-2", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2011 to 2012?", "answer": "1.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17, 18], "steps": [{"op": "minus2-1", "arg1": "32.29", "arg2": "31.81", "res": "0.48"}, {"op": "divide2-2", "arg1": "#0", "arg2": "31.81", "res": "1.5%"}], "program": "subtract(32.29, 31.81), divide(#0, 31.81)", "gold_inds": {"text_17": "during fiscal 2012 , we repurchased approximately 11.5 million shares at an average price of $ 32.29 through structured repurchase agreements entered into during fiscal 2012 .", "text_18": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."}, "exe_ans": 0.01509, "tfidftopn": {"text_19": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price per share of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "program_re": "divide(subtract(32.29, 31.81), 31.81)", "model_input": [["text_17", "during fiscal 2012 , we repurchased approximately 11.5 million shares at an average price of $ 32.29 through structured repurchase agreements entered into during fiscal 2012 ."], ["text_18", "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."], ["text_19", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price per share of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["1.5%"]}, "rejected_source": {"id": "ADBE/2011/page_112.pdf-3", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2009 to 2010?", "answer": "4.7%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [16, 17], "steps": [{"op": "minus2-1", "arg1": "29.19", "arg2": "27.89", "res": "1.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "27.89", "res": "4.7%"}], "program": "subtract(29.19, 27.89), divide(#0, 27.89)", "gold_inds": {"text_16": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 .", "text_17": "during fiscal 2009 , we repurchased approximately 15.2 million shares at an average price per share of $ 27.89 through structured repurchase agreements entered into during fiscal 2008 and fiscal 2009 ."}, "exe_ans": 0.04661, "tfidftopn": {"text_40": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "program_re": "divide(subtract(29.19, 27.89), 27.89)", "model_input": [["text_16", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."], ["text_17", "during fiscal 2009 , we repurchased approximately 15.2 million shares at an average price per share of $ 27.89 through structured repurchase agreements entered into during fiscal 2008 and fiscal 2009 ."], ["text_40", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000958", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the average price of repurchased shares from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "1.5%.", "rejected": "9.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the growth rate in the average price of repurchased shares <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the growth rate in the average price of repurchased shares <TIME>?", "original_question": "what is the growth rate in the average price of repurchased shares from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.7%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "9.0%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "1.5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "ADBE/2012/page_113.pdf-2", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2011 to 2012?", "answer": "1.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17, 18], "steps": [{"op": "minus2-1", "arg1": "32.29", "arg2": "31.81", "res": "0.48"}, {"op": "divide2-2", "arg1": "#0", "arg2": "31.81", "res": "1.5%"}], "program": "subtract(32.29, 31.81), divide(#0, 31.81)", "gold_inds": {"text_17": "during fiscal 2012 , we repurchased approximately 11.5 million shares at an average price of $ 32.29 through structured repurchase agreements entered into during fiscal 2012 .", "text_18": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."}, "exe_ans": 0.01509, "tfidftopn": {"text_19": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price per share of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "program_re": "divide(subtract(32.29, 31.81), 31.81)", "model_input": [["text_17", "during fiscal 2012 , we repurchased approximately 11.5 million shares at an average price of $ 32.29 through structured repurchase agreements entered into during fiscal 2012 ."], ["text_18", "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."], ["text_19", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price per share of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["1.5%"]}, "rejected_source": {"id": "ADBE/2011/page_112.pdf-1", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2010 to 2011?", "answer": "9.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "31.81", "arg2": "29.19", "res": "2.62"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29.19", "res": "9.0%"}], "program": "subtract(31.81, 29.19), divide(#0, 29.19)", "gold_inds": {"text_39": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 .", "text_40": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "exe_ans": 0.08976, "tfidftopn": {"text_15": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."}, "program_re": "divide(subtract(31.81, 29.19), 29.19)", "model_input": [["text_16", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."], ["text_39", "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."], ["text_40", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["9.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000959", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the average price of repurchased shares from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "4.7%.", "rejected": "1.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the growth rate in the average price of repurchased shares <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the growth rate in the average price of repurchased shares <TIME>?", "original_question": "what is the growth rate in the average price of repurchased shares from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.7%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "9.0%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "1.5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "ADBE/2011/page_112.pdf-3", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2009 to 2010?", "answer": "4.7%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [16, 17], "steps": [{"op": "minus2-1", "arg1": "29.19", "arg2": "27.89", "res": "1.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "27.89", "res": "4.7%"}], "program": "subtract(29.19, 27.89), divide(#0, 27.89)", "gold_inds": {"text_16": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 .", "text_17": "during fiscal 2009 , we repurchased approximately 15.2 million shares at an average price per share of $ 27.89 through structured repurchase agreements entered into during fiscal 2008 and fiscal 2009 ."}, "exe_ans": 0.04661, "tfidftopn": {"text_40": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "program_re": "divide(subtract(29.19, 27.89), 27.89)", "model_input": [["text_16", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."], ["text_17", "during fiscal 2009 , we repurchased approximately 15.2 million shares at an average price per share of $ 27.89 through structured repurchase agreements entered into during fiscal 2008 and fiscal 2009 ."], ["text_40", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["4.7%"]}, "rejected_source": {"id": "ADBE/2012/page_113.pdf-2", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2011 to 2012?", "answer": "1.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17, 18], "steps": [{"op": "minus2-1", "arg1": "32.29", "arg2": "31.81", "res": "0.48"}, {"op": "divide2-2", "arg1": "#0", "arg2": "31.81", "res": "1.5%"}], "program": "subtract(32.29, 31.81), divide(#0, 31.81)", "gold_inds": {"text_17": "during fiscal 2012 , we repurchased approximately 11.5 million shares at an average price of $ 32.29 through structured repurchase agreements entered into during fiscal 2012 .", "text_18": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."}, "exe_ans": 0.01509, "tfidftopn": {"text_19": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price per share of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "program_re": "divide(subtract(32.29, 31.81), 31.81)", "model_input": [["text_17", "during fiscal 2012 , we repurchased approximately 11.5 million shares at an average price of $ 32.29 through structured repurchase agreements entered into during fiscal 2012 ."], ["text_18", "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."], ["text_19", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price per share of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["1.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000960", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the average price of repurchased shares from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "4.7%.", "rejected": "9.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the growth rate in the average price of repurchased shares <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the growth rate in the average price of repurchased shares <TIME>?", "original_question": "what is the growth rate in the average price of repurchased shares from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.7%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "9.0%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "1.5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "ADBE/2011/page_112.pdf-3", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2009 to 2010?", "answer": "4.7%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [16, 17], "steps": [{"op": "minus2-1", "arg1": "29.19", "arg2": "27.89", "res": "1.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "27.89", "res": "4.7%"}], "program": "subtract(29.19, 27.89), divide(#0, 27.89)", "gold_inds": {"text_16": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 .", "text_17": "during fiscal 2009 , we repurchased approximately 15.2 million shares at an average price per share of $ 27.89 through structured repurchase agreements entered into during fiscal 2008 and fiscal 2009 ."}, "exe_ans": 0.04661, "tfidftopn": {"text_40": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "program_re": "divide(subtract(29.19, 27.89), 27.89)", "model_input": [["text_16", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."], ["text_17", "during fiscal 2009 , we repurchased approximately 15.2 million shares at an average price per share of $ 27.89 through structured repurchase agreements entered into during fiscal 2008 and fiscal 2009 ."], ["text_40", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["4.7%"]}, "rejected_source": {"id": "ADBE/2011/page_112.pdf-1", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2010 to 2011?", "answer": "9.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "31.81", "arg2": "29.19", "res": "2.62"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29.19", "res": "9.0%"}], "program": "subtract(31.81, 29.19), divide(#0, 29.19)", "gold_inds": {"text_39": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 .", "text_40": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "exe_ans": 0.08976, "tfidftopn": {"text_15": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."}, "program_re": "divide(subtract(31.81, 29.19), 29.19)", "model_input": [["text_16", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."], ["text_39", "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."], ["text_40", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["9.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000961", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the average price of repurchased shares from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "9.0%.", "rejected": "1.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the growth rate in the average price of repurchased shares <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the growth rate in the average price of repurchased shares <TIME>?", "original_question": "what is the growth rate in the average price of repurchased shares from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.7%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "9.0%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "1.5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "ADBE/2011/page_112.pdf-1", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2010 to 2011?", "answer": "9.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "31.81", "arg2": "29.19", "res": "2.62"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29.19", "res": "9.0%"}], "program": "subtract(31.81, 29.19), divide(#0, 29.19)", "gold_inds": {"text_39": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 .", "text_40": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "exe_ans": 0.08976, "tfidftopn": {"text_15": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."}, "program_re": "divide(subtract(31.81, 29.19), 29.19)", "model_input": [["text_16", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."], ["text_39", "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."], ["text_40", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["9.0%"]}, "rejected_source": {"id": "ADBE/2012/page_113.pdf-2", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2011 to 2012?", "answer": "1.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [17, 18], "steps": [{"op": "minus2-1", "arg1": "32.29", "arg2": "31.81", "res": "0.48"}, {"op": "divide2-2", "arg1": "#0", "arg2": "31.81", "res": "1.5%"}], "program": "subtract(32.29, 31.81), divide(#0, 31.81)", "gold_inds": {"text_17": "during fiscal 2012 , we repurchased approximately 11.5 million shares at an average price of $ 32.29 through structured repurchase agreements entered into during fiscal 2012 .", "text_18": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."}, "exe_ans": 0.01509, "tfidftopn": {"text_19": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price per share of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "program_re": "divide(subtract(32.29, 31.81), 31.81)", "model_input": [["text_17", "during fiscal 2012 , we repurchased approximately 11.5 million shares at an average price of $ 32.29 through structured repurchase agreements entered into during fiscal 2012 ."], ["text_18", "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."], ["text_19", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price per share of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["1.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000962", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the average price of repurchased shares from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "9.0%.", "rejected": "4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the growth rate in the average price of repurchased shares <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the growth rate in the average price of repurchased shares <TIME>?", "original_question": "what is the growth rate in the average price of repurchased shares from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.7%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "9.0%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "1.5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "ADBE/2011/page_112.pdf-1", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2010 to 2011?", "answer": "9.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "31.81", "arg2": "29.19", "res": "2.62"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29.19", "res": "9.0%"}], "program": "subtract(31.81, 29.19), divide(#0, 29.19)", "gold_inds": {"text_39": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 .", "text_40": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "exe_ans": 0.08976, "tfidftopn": {"text_15": "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."}, "program_re": "divide(subtract(31.81, 29.19), 29.19)", "model_input": [["text_16", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."], ["text_39", "during fiscal 2011 , we repurchased approximately 21.8 million shares at an average price of $ 31.81 through structured repurchase agreements entered into during fiscal 2011 ."], ["text_40", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["9.0%"]}, "rejected_source": {"id": "ADBE/2011/page_112.pdf-3", "qa": {"question": "what is the growth rate in the average price of repurchased shares from 2009 to 2010?", "answer": "4.7%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [16, 17], "steps": [{"op": "minus2-1", "arg1": "29.19", "arg2": "27.89", "res": "1.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "27.89", "res": "4.7%"}], "program": "subtract(29.19, 27.89), divide(#0, 27.89)", "gold_inds": {"text_16": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 .", "text_17": "during fiscal 2009 , we repurchased approximately 15.2 million shares at an average price per share of $ 27.89 through structured repurchase agreements entered into during fiscal 2008 and fiscal 2009 ."}, "exe_ans": 0.04661, "tfidftopn": {"text_40": "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."}, "program_re": "divide(subtract(29.19, 27.89), 27.89)", "model_input": [["text_16", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."], ["text_17", "during fiscal 2009 , we repurchased approximately 15.2 million shares at an average price per share of $ 27.89 through structured repurchase agreements entered into during fiscal 2008 and fiscal 2009 ."], ["text_40", "during fiscal 2010 , we repurchased approximately 31.2 million shares at an average price of $ 29.19 through structured repurchase agreements entered into during fiscal 2009 and fiscal 2010 ."]]}, "answers": ["4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000963", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: containerboards net sales represented what percentage of industrial packaging sales in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "18%.", "rejected": "20%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || containerboards net sales represented what percentage of industrial packaging sales <TIME>?", "doc_prefix": "IP", "base_question": "containerboards net sales represented what percentage of industrial packaging sales <TIME>?", "original_question": "containerboards net sales represented what percentage of industrial packaging sales in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "18%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "IP/2005/page_28.pdf-1", "qa": {"question": "containerboards net sales represented what percentage of industrial packaging sales in 2005?", "answer": "18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [13], "steps": [{"op": "divide1-1", "arg1": "895", "arg2": "4935", "res": "18%"}], "program": "divide(895, 4935)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;", "text_13": "containerboard 2019s net sales totaled $ 895 million in 2005 , $ 951 million in 2004 and $ 815 million in 2003 ."}, "exe_ans": 0.18136, "tfidftopn": {"text_12": "industrial packaging in millions 2005 2004 2003 ."}, "program_re": "divide(895, 4935)", "model_input": [["table_1", "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;"], ["text_13", "containerboard 2019s net sales totaled $ 895 million in 2005 , $ 951 million in 2004 and $ 815 million in 2003 ."], ["text_33", "industrial packaging 2019s sales in 2005 included $ 104 million from international paper distribution limited , our asian box and containerboard business , subsequent to the acquisition of an additional 50% ( 50 % ) interest in au- gust 2005. ."]]}, "answers": ["18%"]}, "rejected_source": {"id": "IP/2005/page_28.pdf-2", "qa": {"question": "containerboards net sales represented what percentage of industrial packaging sales in 2004?", "answer": "20%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [13], "steps": [{"op": "divide2-1", "arg1": "951", "arg2": "4830", "res": "20%"}], "program": "divide(951, 4830)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;", "text_13": "containerboard 2019s net sales totaled $ 895 million in 2005 , $ 951 million in 2004 and $ 815 million in 2003 ."}, "exe_ans": 0.19689, "tfidftopn": {"text_12": "industrial packaging in millions 2005 2004 2003 ."}, "program_re": "divide(951, 4830)", "model_input": [["table_1", "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;"], ["text_13", "containerboard 2019s net sales totaled $ 895 million in 2005 , $ 951 million in 2004 and $ 815 million in 2003 ."], ["text_33", "industrial packaging 2019s sales in 2005 included $ 104 million from international paper distribution limited , our asian box and containerboard business , subsequent to the acquisition of an additional 50% ( 50 % ) interest in au- gust 2005. ."]]}, "answers": ["20%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000964", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: containerboards net sales represented what percentage of industrial packaging sales in 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "20%.", "rejected": "18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || containerboards net sales represented what percentage of industrial packaging sales <TIME>?", "doc_prefix": "IP", "base_question": "containerboards net sales represented what percentage of industrial packaging sales <TIME>?", "original_question": "containerboards net sales represented what percentage of industrial packaging sales in 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "18%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "IP/2005/page_28.pdf-2", "qa": {"question": "containerboards net sales represented what percentage of industrial packaging sales in 2004?", "answer": "20%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [13], "steps": [{"op": "divide2-1", "arg1": "951", "arg2": "4830", "res": "20%"}], "program": "divide(951, 4830)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;", "text_13": "containerboard 2019s net sales totaled $ 895 million in 2005 , $ 951 million in 2004 and $ 815 million in 2003 ."}, "exe_ans": 0.19689, "tfidftopn": {"text_12": "industrial packaging in millions 2005 2004 2003 ."}, "program_re": "divide(951, 4830)", "model_input": [["table_1", "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;"], ["text_13", "containerboard 2019s net sales totaled $ 895 million in 2005 , $ 951 million in 2004 and $ 815 million in 2003 ."], ["text_33", "industrial packaging 2019s sales in 2005 included $ 104 million from international paper distribution limited , our asian box and containerboard business , subsequent to the acquisition of an additional 50% ( 50 % ) interest in au- gust 2005. ."]]}, "answers": ["20%"]}, "rejected_source": {"id": "IP/2005/page_28.pdf-1", "qa": {"question": "containerboards net sales represented what percentage of industrial packaging sales in 2005?", "answer": "18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [13], "steps": [{"op": "divide1-1", "arg1": "895", "arg2": "4935", "res": "18%"}], "program": "divide(895, 4935)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;", "text_13": "containerboard 2019s net sales totaled $ 895 million in 2005 , $ 951 million in 2004 and $ 815 million in 2003 ."}, "exe_ans": 0.18136, "tfidftopn": {"text_12": "industrial packaging in millions 2005 2004 2003 ."}, "program_re": "divide(895, 4935)", "model_input": [["table_1", "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;"], ["text_13", "containerboard 2019s net sales totaled $ 895 million in 2005 , $ 951 million in 2004 and $ 815 million in 2003 ."], ["text_33", "industrial packaging 2019s sales in 2005 included $ 104 million from international paper distribution limited , our asian box and containerboard business , subsequent to the acquisition of an additional 50% ( 50 % ) interest in au- gust 2005. ."]]}, "answers": ["18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000965", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the total cost of common share repurchases between 2013 and 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-11%.", "rejected": "33%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what was the percentage change in the total cost of common share repurchases <TIME>?", "doc_prefix": "GS", "base_question": "what was the percentage change in the total cost of common share repurchases <TIME>?", "original_question": "what was the percentage change in the total cost of common share repurchases between 2013 and 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"33%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "-11%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014"}]}, "chosen_source": {"id": "GS/2014/page_172.pdf-3", "qa": {"question": "what was the percentage change in the total cost of common share repurchases between 2013 and 2014?", "answer": "-11%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5469", "arg2": "6175", "res": "-706"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6175", "res": "-11%"}], "program": "subtract(5469, 6175), divide(#0, 6175)", "gold_inds": {"table_3": "in millions except per share amounts the total cost of common share repurchases of year ended december 2014 is $ 5469 ; the total cost of common share repurchases of year ended december 2013 is $ 6175 ; the total cost of common share repurchases of year ended december 2012 is $ 4637 ;"}, "exe_ans": -0.11433, "tfidftopn": {"table_1": "in millions except per share amounts The common share repurchases of year ended december 2014 is 31.8 ; The common share repurchases of year ended december 2013 is 39.3 ; The common share repurchases of year ended december 2012 is 42.0 ;", "table_2": "in millions except per share amounts The average cost per share of year ended december 2014 is $ 171.79 ; The average cost per share of year ended december 2013 is $ 157.11 ; The average cost per share of year ended december 2012 is $ 110.31 ;"}, "program_re": "divide(subtract(5469, 6175), 6175)", "model_input": [["text_21", "the table below presents the amount of common stock repurchased by the firm under the share repurchase program during 2014 , 2013 and 2012. ."], ["table_1", "in millions except per share amounts the common share repurchases of year ended december 2014 is 31.8 ; the common share repurchases of year ended december 2013 is 39.3 ; the common share repurchases of year ended december 2012 is 42.0 ;"], ["table_3", "in millions except per share amounts the total cost of common share repurchases of year ended december 2014 is $ 5469 ; the total cost of common share repurchases of year ended december 2013 is $ 6175 ; the total cost of common share repurchases of year ended december 2012 is $ 4637 ;"]]}, "answers": ["-11%"]}, "rejected_source": {"id": "GS/2014/page_172.pdf-2", "qa": {"question": "what was the percentage change in the total cost of common share repurchases between 2012 and 2013?", "answer": "33%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6175", "arg2": "4637", "res": "1538"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4637", "res": "33%"}], "program": "subtract(6175, 4637), divide(#0, 4637)", "gold_inds": {"table_3": "in millions except per share amounts the total cost of common share repurchases of year ended december 2014 is $ 5469 ; the total cost of common share repurchases of year ended december 2013 is $ 6175 ; the total cost of common share repurchases of year ended december 2012 is $ 4637 ;"}, "exe_ans": 0.33168, "tfidftopn": {"table_1": "in millions except per share amounts The common share repurchases of year ended december 2014 is 31.8 ; The common share repurchases of year ended december 2013 is 39.3 ; The common share repurchases of year ended december 2012 is 42.0 ;", "table_2": "in millions except per share amounts The average cost per share of year ended december 2014 is $ 171.79 ; The average cost per share of year ended december 2013 is $ 157.11 ; The average cost per share of year ended december 2012 is $ 110.31 ;"}, "program_re": "divide(subtract(6175, 4637), 4637)", "model_input": [["text_21", "the table below presents the amount of common stock repurchased by the firm under the share repurchase program during 2014 , 2013 and 2012. ."], ["table_1", "in millions except per share amounts the common share repurchases of year ended december 2014 is 31.8 ; the common share repurchases of year ended december 2013 is 39.3 ; the common share repurchases of year ended december 2012 is 42.0 ;"], ["table_3", "in millions except per share amounts the total cost of common share repurchases of year ended december 2014 is $ 5469 ; the total cost of common share repurchases of year ended december 2013 is $ 6175 ; the total cost of common share repurchases of year ended december 2012 is $ 4637 ;"]]}, "answers": ["33%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000966", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the total cost of common share repurchases between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "33%.", "rejected": "-11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what was the percentage change in the total cost of common share repurchases <TIME>?", "doc_prefix": "GS", "base_question": "what was the percentage change in the total cost of common share repurchases <TIME>?", "original_question": "what was the percentage change in the total cost of common share repurchases between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"33%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "-11%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014"}]}, "chosen_source": {"id": "GS/2014/page_172.pdf-2", "qa": {"question": "what was the percentage change in the total cost of common share repurchases between 2012 and 2013?", "answer": "33%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6175", "arg2": "4637", "res": "1538"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4637", "res": "33%"}], "program": "subtract(6175, 4637), divide(#0, 4637)", "gold_inds": {"table_3": "in millions except per share amounts the total cost of common share repurchases of year ended december 2014 is $ 5469 ; the total cost of common share repurchases of year ended december 2013 is $ 6175 ; the total cost of common share repurchases of year ended december 2012 is $ 4637 ;"}, "exe_ans": 0.33168, "tfidftopn": {"table_1": "in millions except per share amounts The common share repurchases of year ended december 2014 is 31.8 ; The common share repurchases of year ended december 2013 is 39.3 ; The common share repurchases of year ended december 2012 is 42.0 ;", "table_2": "in millions except per share amounts The average cost per share of year ended december 2014 is $ 171.79 ; The average cost per share of year ended december 2013 is $ 157.11 ; The average cost per share of year ended december 2012 is $ 110.31 ;"}, "program_re": "divide(subtract(6175, 4637), 4637)", "model_input": [["text_21", "the table below presents the amount of common stock repurchased by the firm under the share repurchase program during 2014 , 2013 and 2012. ."], ["table_1", "in millions except per share amounts the common share repurchases of year ended december 2014 is 31.8 ; the common share repurchases of year ended december 2013 is 39.3 ; the common share repurchases of year ended december 2012 is 42.0 ;"], ["table_3", "in millions except per share amounts the total cost of common share repurchases of year ended december 2014 is $ 5469 ; the total cost of common share repurchases of year ended december 2013 is $ 6175 ; the total cost of common share repurchases of year ended december 2012 is $ 4637 ;"]]}, "answers": ["33%"]}, "rejected_source": {"id": "GS/2014/page_172.pdf-3", "qa": {"question": "what was the percentage change in the total cost of common share repurchases between 2013 and 2014?", "answer": "-11%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5469", "arg2": "6175", "res": "-706"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6175", "res": "-11%"}], "program": "subtract(5469, 6175), divide(#0, 6175)", "gold_inds": {"table_3": "in millions except per share amounts the total cost of common share repurchases of year ended december 2014 is $ 5469 ; the total cost of common share repurchases of year ended december 2013 is $ 6175 ; the total cost of common share repurchases of year ended december 2012 is $ 4637 ;"}, "exe_ans": -0.11433, "tfidftopn": {"table_1": "in millions except per share amounts The common share repurchases of year ended december 2014 is 31.8 ; The common share repurchases of year ended december 2013 is 39.3 ; The common share repurchases of year ended december 2012 is 42.0 ;", "table_2": "in millions except per share amounts The average cost per share of year ended december 2014 is $ 171.79 ; The average cost per share of year ended december 2013 is $ 157.11 ; The average cost per share of year ended december 2012 is $ 110.31 ;"}, "program_re": "divide(subtract(5469, 6175), 6175)", "model_input": [["text_21", "the table below presents the amount of common stock repurchased by the firm under the share repurchase program during 2014 , 2013 and 2012. ."], ["table_1", "in millions except per share amounts the common share repurchases of year ended december 2014 is 31.8 ; the common share repurchases of year ended december 2013 is 39.3 ; the common share repurchases of year ended december 2012 is 42.0 ;"], ["table_3", "in millions except per share amounts the total cost of common share repurchases of year ended december 2014 is $ 5469 ; the total cost of common share repurchases of year ended december 2013 is $ 6175 ; the total cost of common share repurchases of year ended december 2012 is $ 4637 ;"]]}, "answers": ["-11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000967", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total number of outstanding shares as of december 31 , 2004 according to pro-forma income , in millions?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "224.3.", "rejected": "301.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total number of outstanding shares as of december 31 , <TIME> according to pro-forma income , in millions?", "doc_prefix": "AMT", "base_question": "what is the total number of outstanding shares as of december 31 , <TIME> according to pro-forma income , in millions?", "original_question": "what is the total number of outstanding shares as of december 31 , 2004 according to pro-forma income , in millions?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"224.3": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "301.2": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "AMT/2005/page_77.pdf-3", "qa": {"question": "what is the total number of outstanding shares as of december 31 , 2004 according to pro-forma income , in millions?", "answer": "224.3", "explanation": "", "ann_table_rows": [4, 6], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "269196", "arg2": "const_1000", "res": "269196000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1.20", "res": "224330000"}, {"op": "divide2-3", "arg1": "#1", "arg2": "const_1000000", "res": "224.3"}], "program": "multiply(269196, const_1000), divide(#0, 1.20), divide(#1, const_1000000)", "gold_inds": {"table_4": "the pro-forma net loss of 2005 is $ -186724 ( 186724 ) ; the pro-forma net loss of 2004 is $ -269196 ( 269196 ) ; the pro-forma net loss of 2003 is $ -354400 ( 354400 ) ;", "table_6": "the basic and diluted net loss per share pro-forma of 2005 is $ -0.62 ( 0.62 ) ; the basic and diluted net loss per share pro-forma of 2004 is $ -1.20 ( 1.20 ) ; the basic and diluted net loss per share pro-forma of 2003 is $ -1.70 ( 1.70 ) ;"}, "exe_ans": 224.33, "tfidftopn": {"text_14": "for comparative purposes , a 10% ( 10 % ) change in the volatility assumption would change pro forma stock option expense and pro forma net loss by approximately $ 0.1 million for the year ended december 31 , 2005 ."}, "program_re": "divide(divide(multiply(269196, const_1000), 1.20), const_1000000)", "model_input": [["text_1", "148 ."], ["table_4", "the pro-forma net loss of 2005 is $ -186724 ( 186724 ) ; the pro-forma net loss of 2004 is $ -269196 ( 269196 ) ; the pro-forma net loss of 2003 is $ -354400 ( 354400 ) ;"], ["table_6", "the basic and diluted net loss per share pro-forma of 2005 is $ -0.62 ( 0.62 ) ; the basic and diluted net loss per share pro-forma of 2004 is $ -1.20 ( 1.20 ) ; the basic and diluted net loss per share pro-forma of 2003 is $ -1.70 ( 1.70 ) ;"]]}, "answers": ["224.3"]}, "rejected_source": {"id": "AMT/2005/page_77.pdf-1", "qa": {"question": "what is the total number of outstanding shares as of december 31 , 2005 according to pro-forma income , in millions?", "answer": "301.2", "explanation": "", "ann_table_rows": [4, 6], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "186724", "arg2": "const_1000", "res": "186724000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "0.62", "res": "301167742"}, {"op": "divide1-3", "arg1": "#1", "arg2": "const_1000000", "res": "301.2"}], "program": "multiply(186724, const_1000), divide(#0, 0.62), divide(#1, const_1000000)", "gold_inds": {"table_4": "the pro-forma net loss of 2005 is $ -186724 ( 186724 ) ; the pro-forma net loss of 2004 is $ -269196 ( 269196 ) ; the pro-forma net loss of 2003 is $ -354400 ( 354400 ) ;", "table_6": "the basic and diluted net loss per share pro-forma of 2005 is $ -0.62 ( 0.62 ) ; the basic and diluted net loss per share pro-forma of 2004 is $ -1.20 ( 1.20 ) ; the basic and diluted net loss per share pro-forma of 2003 is $ -1.70 ( 1.70 ) ;"}, "exe_ans": 301.16774, "tfidftopn": {"text_14": "for comparative purposes , a 10% ( 10 % ) change in the volatility assumption would change pro forma stock option expense and pro forma net loss by approximately $ 0.1 million for the year ended december 31 , 2005 ."}, "program_re": "divide(divide(multiply(186724, const_1000), 0.62), const_1000000)", "model_input": [["text_1", "148 ."], ["table_4", "the pro-forma net loss of 2005 is $ -186724 ( 186724 ) ; the pro-forma net loss of 2004 is $ -269196 ( 269196 ) ; the pro-forma net loss of 2003 is $ -354400 ( 354400 ) ;"], ["table_6", "the basic and diluted net loss per share pro-forma of 2005 is $ -0.62 ( 0.62 ) ; the basic and diluted net loss per share pro-forma of 2004 is $ -1.20 ( 1.20 ) ; the basic and diluted net loss per share pro-forma of 2003 is $ -1.70 ( 1.70 ) ;"]]}, "answers": ["301.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000968", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total number of outstanding shares as of december 31 , 2005 according to pro-forma income , in millions?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "301.2.", "rejected": "224.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total number of outstanding shares as of december 31 , <TIME> according to pro-forma income , in millions?", "doc_prefix": "AMT", "base_question": "what is the total number of outstanding shares as of december 31 , <TIME> according to pro-forma income , in millions?", "original_question": "what is the total number of outstanding shares as of december 31 , 2005 according to pro-forma income , in millions?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"224.3": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "301.2": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "AMT/2005/page_77.pdf-1", "qa": {"question": "what is the total number of outstanding shares as of december 31 , 2005 according to pro-forma income , in millions?", "answer": "301.2", "explanation": "", "ann_table_rows": [4, 6], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "186724", "arg2": "const_1000", "res": "186724000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "0.62", "res": "301167742"}, {"op": "divide1-3", "arg1": "#1", "arg2": "const_1000000", "res": "301.2"}], "program": "multiply(186724, const_1000), divide(#0, 0.62), divide(#1, const_1000000)", "gold_inds": {"table_4": "the pro-forma net loss of 2005 is $ -186724 ( 186724 ) ; the pro-forma net loss of 2004 is $ -269196 ( 269196 ) ; the pro-forma net loss of 2003 is $ -354400 ( 354400 ) ;", "table_6": "the basic and diluted net loss per share pro-forma of 2005 is $ -0.62 ( 0.62 ) ; the basic and diluted net loss per share pro-forma of 2004 is $ -1.20 ( 1.20 ) ; the basic and diluted net loss per share pro-forma of 2003 is $ -1.70 ( 1.70 ) ;"}, "exe_ans": 301.16774, "tfidftopn": {"text_14": "for comparative purposes , a 10% ( 10 % ) change in the volatility assumption would change pro forma stock option expense and pro forma net loss by approximately $ 0.1 million for the year ended december 31 , 2005 ."}, "program_re": "divide(divide(multiply(186724, const_1000), 0.62), const_1000000)", "model_input": [["text_1", "148 ."], ["table_4", "the pro-forma net loss of 2005 is $ -186724 ( 186724 ) ; the pro-forma net loss of 2004 is $ -269196 ( 269196 ) ; the pro-forma net loss of 2003 is $ -354400 ( 354400 ) ;"], ["table_6", "the basic and diluted net loss per share pro-forma of 2005 is $ -0.62 ( 0.62 ) ; the basic and diluted net loss per share pro-forma of 2004 is $ -1.20 ( 1.20 ) ; the basic and diluted net loss per share pro-forma of 2003 is $ -1.70 ( 1.70 ) ;"]]}, "answers": ["301.2"]}, "rejected_source": {"id": "AMT/2005/page_77.pdf-3", "qa": {"question": "what is the total number of outstanding shares as of december 31 , 2004 according to pro-forma income , in millions?", "answer": "224.3", "explanation": "", "ann_table_rows": [4, 6], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "269196", "arg2": "const_1000", "res": "269196000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1.20", "res": "224330000"}, {"op": "divide2-3", "arg1": "#1", "arg2": "const_1000000", "res": "224.3"}], "program": "multiply(269196, const_1000), divide(#0, 1.20), divide(#1, const_1000000)", "gold_inds": {"table_4": "the pro-forma net loss of 2005 is $ -186724 ( 186724 ) ; the pro-forma net loss of 2004 is $ -269196 ( 269196 ) ; the pro-forma net loss of 2003 is $ -354400 ( 354400 ) ;", "table_6": "the basic and diluted net loss per share pro-forma of 2005 is $ -0.62 ( 0.62 ) ; the basic and diluted net loss per share pro-forma of 2004 is $ -1.20 ( 1.20 ) ; the basic and diluted net loss per share pro-forma of 2003 is $ -1.70 ( 1.70 ) ;"}, "exe_ans": 224.33, "tfidftopn": {"text_14": "for comparative purposes , a 10% ( 10 % ) change in the volatility assumption would change pro forma stock option expense and pro forma net loss by approximately $ 0.1 million for the year ended december 31 , 2005 ."}, "program_re": "divide(divide(multiply(269196, const_1000), 1.20), const_1000000)", "model_input": [["text_1", "148 ."], ["table_4", "the pro-forma net loss of 2005 is $ -186724 ( 186724 ) ; the pro-forma net loss of 2004 is $ -269196 ( 269196 ) ; the pro-forma net loss of 2003 is $ -354400 ( 354400 ) ;"], ["table_6", "the basic and diluted net loss per share pro-forma of 2005 is $ -0.62 ( 0.62 ) ; the basic and diluted net loss per share pro-forma of 2004 is $ -1.20 ( 1.20 ) ; the basic and diluted net loss per share pro-forma of 2003 is $ -1.70 ( 1.70 ) ;"]]}, "answers": ["224.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000969", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of financial assets securitized in 2013 were residential mortgages?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "83%.", "rejected": "99%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percent of financial assets securitized <TIME> were residential mortgages?", "doc_prefix": "GS", "base_question": "what percent of financial assets securitized <TIME> were residential mortgages?", "original_question": "what percent of financial assets securitized in 2013 were residential mortgages?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"99%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "83%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "GS/2013/page_167.pdf-3", "qa": {"question": "what percent of financial assets securitized in 2013 were residential mortgages?", "answer": "83%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "29772", "arg2": "35858", "res": "83%"}], "program": "divide(29772, 35858)", "gold_inds": {"table_1": "in millions the residential mortgages of year ended december 2013 is $ 29772 ; the residential mortgages of year ended december 2012 is $ 33755 ; the residential mortgages of year ended december 2011 is $ 40131 ;", "table_4": "in millions the total of year ended december 2013 is $ 35858 ; the total of year ended december 2012 is $ 34055 ; the total of year ended december 2011 is $ 40400 ;"}, "exe_ans": 0.83027, "tfidftopn": {"table_3": "in millions The other financial assets of year ended december 2013 is 2014 ; The other financial assets of year ended december 2012 is 2014 ; The other financial assets of year ended december 2011 is 269 ;"}, "program_re": "divide(29772, 35858)", "model_input": [["table_1", "in millions the residential mortgages of year ended december 2013 is $ 29772 ; the residential mortgages of year ended december 2012 is $ 33755 ; the residential mortgages of year ended december 2011 is $ 40131 ;"], ["table_2", "in millions the commercial mortgages of year ended december 2013 is 6086 ; the commercial mortgages of year ended december 2012 is 300 ; the commercial mortgages of year ended december 2011 is 2014 ;"], ["table_4", "in millions the total of year ended december 2013 is $ 35858 ; the total of year ended december 2012 is $ 34055 ; the total of year ended december 2011 is $ 40400 ;"]]}, "answers": ["83%"]}, "rejected_source": {"id": "GS/2013/page_167.pdf-4", "qa": {"question": "what percent of financial assets securitized in 2012 were residential mortgages?", "answer": "99%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "33755", "arg2": "34055", "res": "99%"}], "program": "divide(33755, 34055)", "gold_inds": {"table_1": "in millions the residential mortgages of year ended december 2013 is $ 29772 ; the residential mortgages of year ended december 2012 is $ 33755 ; the residential mortgages of year ended december 2011 is $ 40131 ;", "table_4": "in millions the total of year ended december 2013 is $ 35858 ; the total of year ended december 2012 is $ 34055 ; the total of year ended december 2011 is $ 40400 ;"}, "exe_ans": 0.99119, "tfidftopn": {"table_3": "in millions The other financial assets of year ended december 2013 is 2014 ; The other financial assets of year ended december 2012 is 2014 ; The other financial assets of year ended december 2011 is 269 ;"}, "program_re": "divide(33755, 34055)", "model_input": [["table_1", "in millions the residential mortgages of year ended december 2013 is $ 29772 ; the residential mortgages of year ended december 2012 is $ 33755 ; the residential mortgages of year ended december 2011 is $ 40131 ;"], ["table_2", "in millions the commercial mortgages of year ended december 2013 is 6086 ; the commercial mortgages of year ended december 2012 is 300 ; the commercial mortgages of year ended december 2011 is 2014 ;"], ["table_4", "in millions the total of year ended december 2013 is $ 35858 ; the total of year ended december 2012 is $ 34055 ; the total of year ended december 2011 is $ 40400 ;"]]}, "answers": ["99%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000970", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of financial assets securitized in 2012 were residential mortgages?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "99%.", "rejected": "83%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percent of financial assets securitized <TIME> were residential mortgages?", "doc_prefix": "GS", "base_question": "what percent of financial assets securitized <TIME> were residential mortgages?", "original_question": "what percent of financial assets securitized in 2012 were residential mortgages?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"99%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "83%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "GS/2013/page_167.pdf-4", "qa": {"question": "what percent of financial assets securitized in 2012 were residential mortgages?", "answer": "99%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "33755", "arg2": "34055", "res": "99%"}], "program": "divide(33755, 34055)", "gold_inds": {"table_1": "in millions the residential mortgages of year ended december 2013 is $ 29772 ; the residential mortgages of year ended december 2012 is $ 33755 ; the residential mortgages of year ended december 2011 is $ 40131 ;", "table_4": "in millions the total of year ended december 2013 is $ 35858 ; the total of year ended december 2012 is $ 34055 ; the total of year ended december 2011 is $ 40400 ;"}, "exe_ans": 0.99119, "tfidftopn": {"table_3": "in millions The other financial assets of year ended december 2013 is 2014 ; The other financial assets of year ended december 2012 is 2014 ; The other financial assets of year ended december 2011 is 269 ;"}, "program_re": "divide(33755, 34055)", "model_input": [["table_1", "in millions the residential mortgages of year ended december 2013 is $ 29772 ; the residential mortgages of year ended december 2012 is $ 33755 ; the residential mortgages of year ended december 2011 is $ 40131 ;"], ["table_2", "in millions the commercial mortgages of year ended december 2013 is 6086 ; the commercial mortgages of year ended december 2012 is 300 ; the commercial mortgages of year ended december 2011 is 2014 ;"], ["table_4", "in millions the total of year ended december 2013 is $ 35858 ; the total of year ended december 2012 is $ 34055 ; the total of year ended december 2011 is $ 40400 ;"]]}, "answers": ["99%"]}, "rejected_source": {"id": "GS/2013/page_167.pdf-3", "qa": {"question": "what percent of financial assets securitized in 2013 were residential mortgages?", "answer": "83%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "29772", "arg2": "35858", "res": "83%"}], "program": "divide(29772, 35858)", "gold_inds": {"table_1": "in millions the residential mortgages of year ended december 2013 is $ 29772 ; the residential mortgages of year ended december 2012 is $ 33755 ; the residential mortgages of year ended december 2011 is $ 40131 ;", "table_4": "in millions the total of year ended december 2013 is $ 35858 ; the total of year ended december 2012 is $ 34055 ; the total of year ended december 2011 is $ 40400 ;"}, "exe_ans": 0.83027, "tfidftopn": {"table_3": "in millions The other financial assets of year ended december 2013 is 2014 ; The other financial assets of year ended december 2012 is 2014 ; The other financial assets of year ended december 2011 is 269 ;"}, "program_re": "divide(29772, 35858)", "model_input": [["table_1", "in millions the residential mortgages of year ended december 2013 is $ 29772 ; the residential mortgages of year ended december 2012 is $ 33755 ; the residential mortgages of year ended december 2011 is $ 40131 ;"], ["table_2", "in millions the commercial mortgages of year ended december 2013 is 6086 ; the commercial mortgages of year ended december 2012 is 300 ; the commercial mortgages of year ended december 2011 is 2014 ;"], ["table_4", "in millions the total of year ended december 2013 is $ 35858 ; the total of year ended december 2012 is $ 34055 ; the total of year ended december 2011 is $ 40400 ;"]]}, "answers": ["83%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000971", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the ratio of the derivative receivables reported on the consolidated balance sheets for 2016 to 2017\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1.14.", "rejected": "1.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what was the ratio of the derivative receivables reported on the consolidated balance sheets <TIME> to <TIME>", "doc_prefix": "JPM", "base_question": "what was the ratio of the derivative receivables reported on the consolidated balance sheets <TIME> to <TIME>", "original_question": "what was the ratio of the derivative receivables reported on the consolidated balance sheets for 2016 to 2017", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.2": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "1.14": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "JPM/2017/page_144.pdf-2", "qa": {"question": "what was the ratio of the derivative receivables reported on the consolidated balance sheets for 2016 to 2017", "answer": "1.14", "explanation": "", "ann_table_rows": [], "ann_text_rows": [11], "steps": [{"op": "divide2-1", "arg1": "64.1", "arg2": "56.5", "res": "1.14"}], "program": "divide(64.1, 56.5)", "gold_inds": {"text_11": "derivative receivables reported on the consolidated balance sheets were $ 56.5 billion and $ 64.1 billion at december 31 , 2017 and 2016 , respectively ."}, "exe_ans": 1.13451, "tfidftopn": {"text_9": "derivative receivables .", "table_7": "december 31 ( in millions ) The liquid securities and other cash collateral held against derivative receivables ( a ) of 2017 is -16108 ( 16108 ) ; The liquid securities and other cash collateral held against derivative receivables ( a ) of 2016 is -22705 ( 22705 ) ;"}, "program_re": "divide(64.1, 56.5)", "model_input": [["table_7", "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables ( a ) of 2017 is -16108 ( 16108 ) ; the liquid securities and other cash collateral held against derivative receivables ( a ) of 2016 is -22705 ( 22705 ) ;"], ["text_11", "derivative receivables reported on the consolidated balance sheets were $ 56.5 billion and $ 64.1 billion at december 31 , 2017 and 2016 , respectively ."], ["text_29", "the three year avg exposure was $ 29.0 billion and $ 31.1 billion at december 31 , 2017 and 2016 , respectively , compared with derivative receivables , net of all collateral , of $ 40.4 billion and $ 41.4 billion at december 31 , 2017 and 2016 , respectively ."]]}, "answers": ["1.14"]}, "rejected_source": {"id": "JPM/2014/page_127.pdf-1", "qa": {"question": "what was the ratio of the derivative receivables reported on the consolidated balance sheets for 2014 to 2013", "answer": "1.2", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "divide1-1", "arg1": "79.0", "arg2": "65.8", "res": "1.2"}], "program": "divide(79.0, 65.8)", "gold_inds": {"text_19": "derivative receivables reported on the consolidated balance sheets were $ 79.0 billion and $ 65.8 billion at december 31 , 2014 and 2013 , respectively ."}, "exe_ans": 1.20061, "tfidftopn": {"text_18": "derivative receivables .", "table_7": "december 31 ( in millions ) The liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; The liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"}, "program_re": "divide(79.0, 65.8)", "model_input": [["table_7", "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; the liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"], ["text_19", "derivative receivables reported on the consolidated balance sheets were $ 79.0 billion and $ 65.8 billion at december 31 , 2014 and 2013 , respectively ."], ["text_22", "government and agency securities and other g7 government bonds ) and other cash collateral held by the firm aggregating $ 19.6 billion and $ 14.4 billion at december 31 , 2014 and 2013 , respectively , that may be used as security when the fair value of the client 2019s exposure is in the firm 2019s favor ."]]}, "answers": ["1.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000972", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the ratio of the derivative receivables reported on the consolidated balance sheets for 2014 to 2013\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "1.2.", "rejected": "1.14.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what was the ratio of the derivative receivables reported on the consolidated balance sheets <TIME> to <TIME>", "doc_prefix": "JPM", "base_question": "what was the ratio of the derivative receivables reported on the consolidated balance sheets <TIME> to <TIME>", "original_question": "what was the ratio of the derivative receivables reported on the consolidated balance sheets for 2014 to 2013", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.2": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "1.14": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "JPM/2014/page_127.pdf-1", "qa": {"question": "what was the ratio of the derivative receivables reported on the consolidated balance sheets for 2014 to 2013", "answer": "1.2", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "divide1-1", "arg1": "79.0", "arg2": "65.8", "res": "1.2"}], "program": "divide(79.0, 65.8)", "gold_inds": {"text_19": "derivative receivables reported on the consolidated balance sheets were $ 79.0 billion and $ 65.8 billion at december 31 , 2014 and 2013 , respectively ."}, "exe_ans": 1.20061, "tfidftopn": {"text_18": "derivative receivables .", "table_7": "december 31 ( in millions ) The liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; The liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"}, "program_re": "divide(79.0, 65.8)", "model_input": [["table_7", "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; the liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"], ["text_19", "derivative receivables reported on the consolidated balance sheets were $ 79.0 billion and $ 65.8 billion at december 31 , 2014 and 2013 , respectively ."], ["text_22", "government and agency securities and other g7 government bonds ) and other cash collateral held by the firm aggregating $ 19.6 billion and $ 14.4 billion at december 31 , 2014 and 2013 , respectively , that may be used as security when the fair value of the client 2019s exposure is in the firm 2019s favor ."]]}, "answers": ["1.2"]}, "rejected_source": {"id": "JPM/2017/page_144.pdf-2", "qa": {"question": "what was the ratio of the derivative receivables reported on the consolidated balance sheets for 2016 to 2017", "answer": "1.14", "explanation": "", "ann_table_rows": [], "ann_text_rows": [11], "steps": [{"op": "divide2-1", "arg1": "64.1", "arg2": "56.5", "res": "1.14"}], "program": "divide(64.1, 56.5)", "gold_inds": {"text_11": "derivative receivables reported on the consolidated balance sheets were $ 56.5 billion and $ 64.1 billion at december 31 , 2017 and 2016 , respectively ."}, "exe_ans": 1.13451, "tfidftopn": {"text_9": "derivative receivables .", "table_7": "december 31 ( in millions ) The liquid securities and other cash collateral held against derivative receivables ( a ) of 2017 is -16108 ( 16108 ) ; The liquid securities and other cash collateral held against derivative receivables ( a ) of 2016 is -22705 ( 22705 ) ;"}, "program_re": "divide(64.1, 56.5)", "model_input": [["table_7", "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables ( a ) of 2017 is -16108 ( 16108 ) ; the liquid securities and other cash collateral held against derivative receivables ( a ) of 2016 is -22705 ( 22705 ) ;"], ["text_11", "derivative receivables reported on the consolidated balance sheets were $ 56.5 billion and $ 64.1 billion at december 31 , 2017 and 2016 , respectively ."], ["text_29", "the three year avg exposure was $ 29.0 billion and $ 31.1 billion at december 31 , 2017 and 2016 , respectively , compared with derivative receivables , net of all collateral , of $ 40.4 billion and $ 41.4 billion at december 31 , 2017 and 2016 , respectively ."]]}, "answers": ["1.14"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000973", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2013 what percentage of printing papers sales where attributable to north american printing papers net sales?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "42%.", "rejected": "43%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of printing papers sales where attributable to north american printing papers net sales?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of printing papers sales where attributable to north american printing papers net sales?", "original_question": "in 2013 what percentage of printing papers sales where attributable to north american printing papers net sales?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"43%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "42%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2013/page_62.pdf-1", "qa": {"question": "in 2013 what percentage of printing papers sales where attributable to north american printing papers net sales?", "answer": "42%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [35], "steps": [{"op": "multiply1-1", "arg1": "2.6", "arg2": "const_1000", "res": "2600"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6205", "res": "42%"}], "program": "multiply(2.6, const_1000), divide(#0, 6205)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;", "text_35": "north american printing papers net sales were $ 2.6 billion in 2013 , $ 2.7 billion in 2012 and $ 2.8 billion in 2011. ."}, "exe_ans": 0.41902, "tfidftopn": {"text_34": "printing papers ."}, "program_re": "divide(multiply(2.6, const_1000), 6205)", "model_input": [["text_10", "net sales were $ 335 million in 2013 ."], ["table_1", "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;"], ["text_35", "north american printing papers net sales were $ 2.6 billion in 2013 , $ 2.7 billion in 2012 and $ 2.8 billion in 2011. ."]]}, "answers": ["42%"]}, "rejected_source": {"id": "IP/2013/page_62.pdf-2", "qa": {"question": "in 2012 what percentage of printing papers sales where attributable to north american printing papers net sales?", "answer": "43%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [35], "steps": [{"op": "multiply2-1", "arg1": "2.7", "arg2": "const_1000", "res": "2700"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6230", "res": "43%"}], "program": "multiply(2.7, const_1000), divide(#0, 6230)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;", "text_35": "north american printing papers net sales were $ 2.6 billion in 2013 , $ 2.7 billion in 2012 and $ 2.8 billion in 2011. ."}, "exe_ans": 0.43339, "tfidftopn": {"text_34": "printing papers ."}, "program_re": "divide(multiply(2.7, const_1000), 6230)", "model_input": [["text_19", "net sales for the distribution operations were $ 285 million in 2013 compared with $ 260 million in 2012 and $ 285 million in 2011 ."], ["table_1", "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;"], ["text_35", "north american printing papers net sales were $ 2.6 billion in 2013 , $ 2.7 billion in 2012 and $ 2.8 billion in 2011. ."]]}, "answers": ["43%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000974", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2012 what percentage of printing papers sales where attributable to north american printing papers net sales?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "43%.", "rejected": "42%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of printing papers sales where attributable to north american printing papers net sales?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of printing papers sales where attributable to north american printing papers net sales?", "original_question": "in 2012 what percentage of printing papers sales where attributable to north american printing papers net sales?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"43%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "42%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2013/page_62.pdf-2", "qa": {"question": "in 2012 what percentage of printing papers sales where attributable to north american printing papers net sales?", "answer": "43%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [35], "steps": [{"op": "multiply2-1", "arg1": "2.7", "arg2": "const_1000", "res": "2700"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6230", "res": "43%"}], "program": "multiply(2.7, const_1000), divide(#0, 6230)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;", "text_35": "north american printing papers net sales were $ 2.6 billion in 2013 , $ 2.7 billion in 2012 and $ 2.8 billion in 2011. ."}, "exe_ans": 0.43339, "tfidftopn": {"text_34": "printing papers ."}, "program_re": "divide(multiply(2.7, const_1000), 6230)", "model_input": [["text_19", "net sales for the distribution operations were $ 285 million in 2013 compared with $ 260 million in 2012 and $ 285 million in 2011 ."], ["table_1", "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;"], ["text_35", "north american printing papers net sales were $ 2.6 billion in 2013 , $ 2.7 billion in 2012 and $ 2.8 billion in 2011. ."]]}, "answers": ["43%"]}, "rejected_source": {"id": "IP/2013/page_62.pdf-1", "qa": {"question": "in 2013 what percentage of printing papers sales where attributable to north american printing papers net sales?", "answer": "42%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [35], "steps": [{"op": "multiply1-1", "arg1": "2.6", "arg2": "const_1000", "res": "2600"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6205", "res": "42%"}], "program": "multiply(2.6, const_1000), divide(#0, 6205)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;", "text_35": "north american printing papers net sales were $ 2.6 billion in 2013 , $ 2.7 billion in 2012 and $ 2.8 billion in 2011. ."}, "exe_ans": 0.41902, "tfidftopn": {"text_34": "printing papers ."}, "program_re": "divide(multiply(2.6, const_1000), 6205)", "model_input": [["text_10", "net sales were $ 335 million in 2013 ."], ["table_1", "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;"], ["text_35", "north american printing papers net sales were $ 2.6 billion in 2013 , $ 2.7 billion in 2012 and $ 2.8 billion in 2011. ."]]}, "answers": ["42%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000975", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: as of december 2011 , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "36%.", "rejected": "43%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || as of december <TIME> , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?", "doc_prefix": "GS", "base_question": "as of december <TIME> , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?", "original_question": "as of december 2011 , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"36%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "43%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_95.pdf-3", "qa": {"question": "as of december 2011 , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?", "answer": "36%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [22], "steps": [{"op": "add2-1", "arg1": "1.81", "arg2": "1.42", "res": "3.23"}, {"op": "divide2-2", "arg1": "662", "arg2": "const_1000", "res": ".662"}, {"op": "add2-3", "arg1": "#0", "arg2": "#1", "res": "3.892"}, {"op": "divide2-4", "arg1": "1.42", "arg2": "#2", "res": "36%"}], "program": "add(1.81, 1.42), divide(662, const_1000), add(#0, #1), divide(1.42, #2)", "gold_inds": {"text_22": "as of december 2011 , we held $ 4.86 billion of securities accounted for as available-for-sale , primarily consisting of $ 1.81 billion of corporate debt securities with an average yield of 5% ( 5 % ) , the majority of which will mature after five years , $ 1.42 billion of mortgage and other asset-backed loans and securities with an average yield of 10% ( 10 % ) , the majority of which will mature after ten years , and $ 662 million of u.s ."}, "exe_ans": 0.36485, "tfidftopn": {"text_19": "as of december 2012 , our available- for-sale securities primarily consisted of $ 3.63 billion of corporate debt securities with an average yield of 4% ( 4 % ) , the majority of which will mature after five years , $ 3.38 billion of mortgage and other asset-backed loans and securities with an average yield of 6% ( 6 % ) , the majority of which will mature after ten years , and $ 856 million of u.s .", "text_18": "in addition to the positions included in var , we held $ 9.07 billion of securities accounted for as available-for- sale as of december 2012 , which support the firm 2019s reinsurance business ."}, "program_re": "divide(1.42, add(add(1.81, 1.42), divide(662, const_1000)))", "model_input": [["text_18", "in addition to the positions included in var , we held $ 9.07 billion of securities accounted for as available-for- sale as of december 2012 , which support the firm 2019s reinsurance business ."], ["text_19", "as of december 2012 , our available- for-sale securities primarily consisted of $ 3.63 billion of corporate debt securities with an average yield of 4% ( 4 % ) , the majority of which will mature after five years , $ 3.38 billion of mortgage and other asset-backed loans and securities with an average yield of 6% ( 6 % ) , the majority of which will mature after ten years , and $ 856 million of u.s ."], ["text_22", "as of december 2011 , we held $ 4.86 billion of securities accounted for as available-for-sale , primarily consisting of $ 1.81 billion of corporate debt securities with an average yield of 5% ( 5 % ) , the majority of which will mature after five years , $ 1.42 billion of mortgage and other asset-backed loans and securities with an average yield of 10% ( 10 % ) , the majority of which will mature after ten years , and $ 662 million of u.s ."]]}, "answers": ["36%"]}, "rejected_source": {"id": "GS/2012/page_95.pdf-1", "qa": {"question": "as of december 2012 , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?", "answer": "43%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "add1-1", "arg1": "3.63", "arg2": "3.38", "res": "7.01"}, {"op": "divide1-2", "arg1": "856", "arg2": "const_1000", "res": ".856"}, {"op": "divide1-3", "arg1": "#0", "arg2": "#1", "res": "7.866"}, {"op": "divide1-4", "arg1": "3.38", "arg2": "#2", "res": "43%"}], "program": "add(3.63, 3.38), divide(856, const_1000), divide(#0, #1), divide(3.38, #2)", "gold_inds": {"text_19": "as of december 2012 , our available- for-sale securities primarily consisted of $ 3.63 billion of corporate debt securities with an average yield of 4% ( 4 % ) , the majority of which will mature after five years , $ 3.38 billion of mortgage and other asset-backed loans and securities with an average yield of 6% ( 6 % ) , the majority of which will mature after ten years , and $ 856 million of u.s ."}, "exe_ans": 0.41274, "tfidftopn": {"text_22": "as of december 2011 , we held $ 4.86 billion of securities accounted for as available-for-sale , primarily consisting of $ 1.81 billion of corporate debt securities with an average yield of 5% ( 5 % ) , the majority of which will mature after five years , $ 1.42 billion of mortgage and other asset-backed loans and securities with an average yield of 10% ( 10 % ) , the majority of which will mature after ten years , and $ 662 million of u.s .", "text_18": "in addition to the positions included in var , we held $ 9.07 billion of securities accounted for as available-for- sale as of december 2012 , which support the firm 2019s reinsurance business ."}, "program_re": "divide(3.38, divide(add(3.63, 3.38), divide(856, const_1000)))", "model_input": [["text_18", "in addition to the positions included in var , we held $ 9.07 billion of securities accounted for as available-for- sale as of december 2012 , which support the firm 2019s reinsurance business ."], ["text_19", "as of december 2012 , our available- for-sale securities primarily consisted of $ 3.63 billion of corporate debt securities with an average yield of 4% ( 4 % ) , the majority of which will mature after five years , $ 3.38 billion of mortgage and other asset-backed loans and securities with an average yield of 6% ( 6 % ) , the majority of which will mature after ten years , and $ 856 million of u.s ."], ["text_22", "as of december 2011 , we held $ 4.86 billion of securities accounted for as available-for-sale , primarily consisting of $ 1.81 billion of corporate debt securities with an average yield of 5% ( 5 % ) , the majority of which will mature after five years , $ 1.42 billion of mortgage and other asset-backed loans and securities with an average yield of 10% ( 10 % ) , the majority of which will mature after ten years , and $ 662 million of u.s ."]]}, "answers": ["43%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000976", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: as of december 2012 , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "43%.", "rejected": "36%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || as of december <TIME> , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?", "doc_prefix": "GS", "base_question": "as of december <TIME> , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?", "original_question": "as of december 2012 , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"36%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "43%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_95.pdf-1", "qa": {"question": "as of december 2012 , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?", "answer": "43%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "add1-1", "arg1": "3.63", "arg2": "3.38", "res": "7.01"}, {"op": "divide1-2", "arg1": "856", "arg2": "const_1000", "res": ".856"}, {"op": "divide1-3", "arg1": "#0", "arg2": "#1", "res": "7.866"}, {"op": "divide1-4", "arg1": "3.38", "arg2": "#2", "res": "43%"}], "program": "add(3.63, 3.38), divide(856, const_1000), divide(#0, #1), divide(3.38, #2)", "gold_inds": {"text_19": "as of december 2012 , our available- for-sale securities primarily consisted of $ 3.63 billion of corporate debt securities with an average yield of 4% ( 4 % ) , the majority of which will mature after five years , $ 3.38 billion of mortgage and other asset-backed loans and securities with an average yield of 6% ( 6 % ) , the majority of which will mature after ten years , and $ 856 million of u.s ."}, "exe_ans": 0.41274, "tfidftopn": {"text_22": "as of december 2011 , we held $ 4.86 billion of securities accounted for as available-for-sale , primarily consisting of $ 1.81 billion of corporate debt securities with an average yield of 5% ( 5 % ) , the majority of which will mature after five years , $ 1.42 billion of mortgage and other asset-backed loans and securities with an average yield of 10% ( 10 % ) , the majority of which will mature after ten years , and $ 662 million of u.s .", "text_18": "in addition to the positions included in var , we held $ 9.07 billion of securities accounted for as available-for- sale as of december 2012 , which support the firm 2019s reinsurance business ."}, "program_re": "divide(3.38, divide(add(3.63, 3.38), divide(856, const_1000)))", "model_input": [["text_18", "in addition to the positions included in var , we held $ 9.07 billion of securities accounted for as available-for- sale as of december 2012 , which support the firm 2019s reinsurance business ."], ["text_19", "as of december 2012 , our available- for-sale securities primarily consisted of $ 3.63 billion of corporate debt securities with an average yield of 4% ( 4 % ) , the majority of which will mature after five years , $ 3.38 billion of mortgage and other asset-backed loans and securities with an average yield of 6% ( 6 % ) , the majority of which will mature after ten years , and $ 856 million of u.s ."], ["text_22", "as of december 2011 , we held $ 4.86 billion of securities accounted for as available-for-sale , primarily consisting of $ 1.81 billion of corporate debt securities with an average yield of 5% ( 5 % ) , the majority of which will mature after five years , $ 1.42 billion of mortgage and other asset-backed loans and securities with an average yield of 10% ( 10 % ) , the majority of which will mature after ten years , and $ 662 million of u.s ."]]}, "answers": ["43%"]}, "rejected_source": {"id": "GS/2012/page_95.pdf-3", "qa": {"question": "as of december 2011 , what percentage of available- for-sale securities was comprised of mortgage and other asset-backed loans and securities?", "answer": "36%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [22], "steps": [{"op": "add2-1", "arg1": "1.81", "arg2": "1.42", "res": "3.23"}, {"op": "divide2-2", "arg1": "662", "arg2": "const_1000", "res": ".662"}, {"op": "add2-3", "arg1": "#0", "arg2": "#1", "res": "3.892"}, {"op": "divide2-4", "arg1": "1.42", "arg2": "#2", "res": "36%"}], "program": "add(1.81, 1.42), divide(662, const_1000), add(#0, #1), divide(1.42, #2)", "gold_inds": {"text_22": "as of december 2011 , we held $ 4.86 billion of securities accounted for as available-for-sale , primarily consisting of $ 1.81 billion of corporate debt securities with an average yield of 5% ( 5 % ) , the majority of which will mature after five years , $ 1.42 billion of mortgage and other asset-backed loans and securities with an average yield of 10% ( 10 % ) , the majority of which will mature after ten years , and $ 662 million of u.s ."}, "exe_ans": 0.36485, "tfidftopn": {"text_19": "as of december 2012 , our available- for-sale securities primarily consisted of $ 3.63 billion of corporate debt securities with an average yield of 4% ( 4 % ) , the majority of which will mature after five years , $ 3.38 billion of mortgage and other asset-backed loans and securities with an average yield of 6% ( 6 % ) , the majority of which will mature after ten years , and $ 856 million of u.s .", "text_18": "in addition to the positions included in var , we held $ 9.07 billion of securities accounted for as available-for- sale as of december 2012 , which support the firm 2019s reinsurance business ."}, "program_re": "divide(1.42, add(add(1.81, 1.42), divide(662, const_1000)))", "model_input": [["text_18", "in addition to the positions included in var , we held $ 9.07 billion of securities accounted for as available-for- sale as of december 2012 , which support the firm 2019s reinsurance business ."], ["text_19", "as of december 2012 , our available- for-sale securities primarily consisted of $ 3.63 billion of corporate debt securities with an average yield of 4% ( 4 % ) , the majority of which will mature after five years , $ 3.38 billion of mortgage and other asset-backed loans and securities with an average yield of 6% ( 6 % ) , the majority of which will mature after ten years , and $ 856 million of u.s ."], ["text_22", "as of december 2011 , we held $ 4.86 billion of securities accounted for as available-for-sale , primarily consisting of $ 1.81 billion of corporate debt securities with an average yield of 5% ( 5 % ) , the majority of which will mature after five years , $ 1.42 billion of mortgage and other asset-backed loans and securities with an average yield of 10% ( 10 % ) , the majority of which will mature after ten years , and $ 662 million of u.s ."]]}, "answers": ["36%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000977", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in s&p500 from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "19.1%.", "rejected": "45%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ORLY || what is the roi of an investment in s&p500 <TIME>?", "doc_prefix": "ORLY", "base_question": "what is the roi of an investment in s&p500 <TIME>?", "original_question": "what is the roi of an investment in s&p500 from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"45%": [{"start": "2013-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2013 to 2017"}], "9.0%": [{"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2014 to 2016"}], "19.1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ORLY/2017/page_30.pdf-3", "qa": {"question": "what is the roi of an investment in s&p500 from 2016 to 2017?", "answer": "19.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "187", "arg2": "157", "res": "30"}, {"op": "divide2-2", "arg1": "#0", "arg2": "157", "res": "19.1%"}], "program": "subtract(187, 157), divide(#0, 157)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"}, "exe_ans": 0.19108, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2012 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2012 is 100 ; The s&p 500 retail index of december 31 , 2013 is 144 ; The s&p 500 retail index of december 31 , 2014 is 158 ; The s&p 500 retail index of december 31 , 2015 is 197 ; The s&p 500 retail index of december 31 , 2016 is 206 ; The s&p 500 retail index of december 31 , 2017 is 265 ;"}, "program_re": "divide(subtract(187, 157), 157)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2012 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2013 is $ 144 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 215 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 283 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 311 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 269 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2012 is 100 ; the s&p 500 retail index of december 31 , 2013 is 144 ; the s&p 500 retail index of december 31 , 2014 is 158 ; the s&p 500 retail index of december 31 , 2015 is 197 ; the s&p 500 retail index of december 31 , 2016 is 206 ; the s&p 500 retail index of december 31 , 2017 is 265 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"]]}, "answers": ["19.1%"]}, "rejected_source": {"id": "ORLY/2018/page_30.pdf-4", "qa": {"question": "what is the roi of an investment in s&p500 from 2013 to 2017?", "answer": "45%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "145", "arg2": "100", "res": "45"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "45%"}], "program": "subtract(145, 100), divide(#0, 100)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2013 is $ 100 ; the s&p 500 of december 31 , 2014 is $ 111 ; the s&p 500 of december 31 , 2015 is $ 111 ; the s&p 500 of december 31 , 2016 is $ 121 ; the s&p 500 of december 31 , 2017 is $ 145 ; the s&p 500 of december 31 , 2018 is $ 136 ;"}, "exe_ans": 0.45, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2013 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2013 is 100 ; The s&p 500 retail index of december 31 , 2014 is 110 ; The s&p 500 retail index of december 31 , 2015 is 137 ; The s&p 500 retail index of december 31 , 2016 is 143 ; The s&p 500 retail index of december 31 , 2017 is 184 ; The s&p 500 retail index of december 31 , 2018 is 208 ;"}, "program_re": "divide(subtract(145, 100), 100)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2013 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 150 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 197 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 216 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 187 ; the o 2019reilly automotive inc . of december 31 , 2018 is $ 268 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2013 is 100 ; the s&p 500 retail index of december 31 , 2014 is 110 ; the s&p 500 retail index of december 31 , 2015 is 137 ; the s&p 500 retail index of december 31 , 2016 is 143 ; the s&p 500 retail index of december 31 , 2017 is 184 ; the s&p 500 retail index of december 31 , 2018 is 208 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2013 is $ 100 ; the s&p 500 of december 31 , 2014 is $ 111 ; the s&p 500 of december 31 , 2015 is $ 111 ; the s&p 500 of december 31 , 2016 is $ 121 ; the s&p 500 of december 31 , 2017 is $ 145 ; the s&p 500 of december 31 , 2018 is $ 136 ;"]]}, "answers": ["45%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000978", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in s&p500 from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "19.1%.", "rejected": "9.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ORLY || what is the roi of an investment in s&p500 <TIME>?", "doc_prefix": "ORLY", "base_question": "what is the roi of an investment in s&p500 <TIME>?", "original_question": "what is the roi of an investment in s&p500 from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"45%": [{"start": "2013-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2013 to 2017"}], "9.0%": [{"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2014 to 2016"}], "19.1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ORLY/2017/page_30.pdf-3", "qa": {"question": "what is the roi of an investment in s&p500 from 2016 to 2017?", "answer": "19.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "187", "arg2": "157", "res": "30"}, {"op": "divide2-2", "arg1": "#0", "arg2": "157", "res": "19.1%"}], "program": "subtract(187, 157), divide(#0, 157)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"}, "exe_ans": 0.19108, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2012 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2012 is 100 ; The s&p 500 retail index of december 31 , 2013 is 144 ; The s&p 500 retail index of december 31 , 2014 is 158 ; The s&p 500 retail index of december 31 , 2015 is 197 ; The s&p 500 retail index of december 31 , 2016 is 206 ; The s&p 500 retail index of december 31 , 2017 is 265 ;"}, "program_re": "divide(subtract(187, 157), 157)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2012 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2013 is $ 144 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 215 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 283 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 311 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 269 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2012 is 100 ; the s&p 500 retail index of december 31 , 2013 is 144 ; the s&p 500 retail index of december 31 , 2014 is 158 ; the s&p 500 retail index of december 31 , 2015 is 197 ; the s&p 500 retail index of december 31 , 2016 is 206 ; the s&p 500 retail index of december 31 , 2017 is 265 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"]]}, "answers": ["19.1%"]}, "rejected_source": {"id": "ORLY/2017/page_30.pdf-1", "qa": {"question": "what is the roi of an investment in s&p500 from 2014 to 2016?", "answer": "9.0%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "157", "arg2": "144", "res": "13"}, {"op": "divide1-2", "arg1": "#0", "arg2": "144", "res": "9.0%"}], "program": "subtract(157, 144), divide(#0, 144)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"}, "exe_ans": 0.09028, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2012 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2012 is 100 ; The s&p 500 retail index of december 31 , 2013 is 144 ; The s&p 500 retail index of december 31 , 2014 is 158 ; The s&p 500 retail index of december 31 , 2015 is 197 ; The s&p 500 retail index of december 31 , 2016 is 206 ; The s&p 500 retail index of december 31 , 2017 is 265 ;"}, "program_re": "divide(subtract(157, 144), 144)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2012 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2013 is $ 144 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 215 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 283 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 311 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 269 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2012 is 100 ; the s&p 500 retail index of december 31 , 2013 is 144 ; the s&p 500 retail index of december 31 , 2014 is 158 ; the s&p 500 retail index of december 31 , 2015 is 197 ; the s&p 500 retail index of december 31 , 2016 is 206 ; the s&p 500 retail index of december 31 , 2017 is 265 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"]]}, "answers": ["9.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000979", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in s&p500 from 2013 to 2017?\nReference time interval: 2013-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "45%.", "rejected": "19.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ORLY || what is the roi of an investment in s&p500 <TIME>?", "doc_prefix": "ORLY", "base_question": "what is the roi of an investment in s&p500 <TIME>?", "original_question": "what is the roi of an investment in s&p500 from 2013 to 2017?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2013 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"45%": [{"start": "2013-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2013 to 2017"}], "9.0%": [{"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2014 to 2016"}], "19.1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ORLY/2018/page_30.pdf-4", "qa": {"question": "what is the roi of an investment in s&p500 from 2013 to 2017?", "answer": "45%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "145", "arg2": "100", "res": "45"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "45%"}], "program": "subtract(145, 100), divide(#0, 100)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2013 is $ 100 ; the s&p 500 of december 31 , 2014 is $ 111 ; the s&p 500 of december 31 , 2015 is $ 111 ; the s&p 500 of december 31 , 2016 is $ 121 ; the s&p 500 of december 31 , 2017 is $ 145 ; the s&p 500 of december 31 , 2018 is $ 136 ;"}, "exe_ans": 0.45, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2013 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2013 is 100 ; The s&p 500 retail index of december 31 , 2014 is 110 ; The s&p 500 retail index of december 31 , 2015 is 137 ; The s&p 500 retail index of december 31 , 2016 is 143 ; The s&p 500 retail index of december 31 , 2017 is 184 ; The s&p 500 retail index of december 31 , 2018 is 208 ;"}, "program_re": "divide(subtract(145, 100), 100)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2013 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 150 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 197 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 216 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 187 ; the o 2019reilly automotive inc . of december 31 , 2018 is $ 268 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2013 is 100 ; the s&p 500 retail index of december 31 , 2014 is 110 ; the s&p 500 retail index of december 31 , 2015 is 137 ; the s&p 500 retail index of december 31 , 2016 is 143 ; the s&p 500 retail index of december 31 , 2017 is 184 ; the s&p 500 retail index of december 31 , 2018 is 208 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2013 is $ 100 ; the s&p 500 of december 31 , 2014 is $ 111 ; the s&p 500 of december 31 , 2015 is $ 111 ; the s&p 500 of december 31 , 2016 is $ 121 ; the s&p 500 of december 31 , 2017 is $ 145 ; the s&p 500 of december 31 , 2018 is $ 136 ;"]]}, "answers": ["45%"]}, "rejected_source": {"id": "ORLY/2017/page_30.pdf-3", "qa": {"question": "what is the roi of an investment in s&p500 from 2016 to 2017?", "answer": "19.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "187", "arg2": "157", "res": "30"}, {"op": "divide2-2", "arg1": "#0", "arg2": "157", "res": "19.1%"}], "program": "subtract(187, 157), divide(#0, 157)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"}, "exe_ans": 0.19108, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2012 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2012 is 100 ; The s&p 500 retail index of december 31 , 2013 is 144 ; The s&p 500 retail index of december 31 , 2014 is 158 ; The s&p 500 retail index of december 31 , 2015 is 197 ; The s&p 500 retail index of december 31 , 2016 is 206 ; The s&p 500 retail index of december 31 , 2017 is 265 ;"}, "program_re": "divide(subtract(187, 157), 157)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2012 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2013 is $ 144 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 215 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 283 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 311 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 269 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2012 is 100 ; the s&p 500 retail index of december 31 , 2013 is 144 ; the s&p 500 retail index of december 31 , 2014 is 158 ; the s&p 500 retail index of december 31 , 2015 is 197 ; the s&p 500 retail index of december 31 , 2016 is 206 ; the s&p 500 retail index of december 31 , 2017 is 265 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"]]}, "answers": ["19.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000980", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in s&p500 from 2013 to 2017?\nReference time interval: 2013-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "45%.", "rejected": "9.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ORLY || what is the roi of an investment in s&p500 <TIME>?", "doc_prefix": "ORLY", "base_question": "what is the roi of an investment in s&p500 <TIME>?", "original_question": "what is the roi of an investment in s&p500 from 2013 to 2017?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2013 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"45%": [{"start": "2013-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2013 to 2017"}], "9.0%": [{"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2014 to 2016"}], "19.1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ORLY/2018/page_30.pdf-4", "qa": {"question": "what is the roi of an investment in s&p500 from 2013 to 2017?", "answer": "45%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "145", "arg2": "100", "res": "45"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "45%"}], "program": "subtract(145, 100), divide(#0, 100)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2013 is $ 100 ; the s&p 500 of december 31 , 2014 is $ 111 ; the s&p 500 of december 31 , 2015 is $ 111 ; the s&p 500 of december 31 , 2016 is $ 121 ; the s&p 500 of december 31 , 2017 is $ 145 ; the s&p 500 of december 31 , 2018 is $ 136 ;"}, "exe_ans": 0.45, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2013 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2013 is 100 ; The s&p 500 retail index of december 31 , 2014 is 110 ; The s&p 500 retail index of december 31 , 2015 is 137 ; The s&p 500 retail index of december 31 , 2016 is 143 ; The s&p 500 retail index of december 31 , 2017 is 184 ; The s&p 500 retail index of december 31 , 2018 is 208 ;"}, "program_re": "divide(subtract(145, 100), 100)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2013 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 150 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 197 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 216 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 187 ; the o 2019reilly automotive inc . of december 31 , 2018 is $ 268 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2013 is 100 ; the s&p 500 retail index of december 31 , 2014 is 110 ; the s&p 500 retail index of december 31 , 2015 is 137 ; the s&p 500 retail index of december 31 , 2016 is 143 ; the s&p 500 retail index of december 31 , 2017 is 184 ; the s&p 500 retail index of december 31 , 2018 is 208 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2013 is $ 100 ; the s&p 500 of december 31 , 2014 is $ 111 ; the s&p 500 of december 31 , 2015 is $ 111 ; the s&p 500 of december 31 , 2016 is $ 121 ; the s&p 500 of december 31 , 2017 is $ 145 ; the s&p 500 of december 31 , 2018 is $ 136 ;"]]}, "answers": ["45%"]}, "rejected_source": {"id": "ORLY/2017/page_30.pdf-1", "qa": {"question": "what is the roi of an investment in s&p500 from 2014 to 2016?", "answer": "9.0%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "157", "arg2": "144", "res": "13"}, {"op": "divide1-2", "arg1": "#0", "arg2": "144", "res": "9.0%"}], "program": "subtract(157, 144), divide(#0, 144)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"}, "exe_ans": 0.09028, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2012 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2012 is 100 ; The s&p 500 retail index of december 31 , 2013 is 144 ; The s&p 500 retail index of december 31 , 2014 is 158 ; The s&p 500 retail index of december 31 , 2015 is 197 ; The s&p 500 retail index of december 31 , 2016 is 206 ; The s&p 500 retail index of december 31 , 2017 is 265 ;"}, "program_re": "divide(subtract(157, 144), 144)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2012 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2013 is $ 144 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 215 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 283 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 311 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 269 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2012 is 100 ; the s&p 500 retail index of december 31 , 2013 is 144 ; the s&p 500 retail index of december 31 , 2014 is 158 ; the s&p 500 retail index of december 31 , 2015 is 197 ; the s&p 500 retail index of december 31 , 2016 is 206 ; the s&p 500 retail index of december 31 , 2017 is 265 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"]]}, "answers": ["9.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000981", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in s&p500 from 2014 to 2016?\nReference time interval: 2014-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "9.0%.", "rejected": "19.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ORLY || what is the roi of an investment in s&p500 <TIME>?", "doc_prefix": "ORLY", "base_question": "what is the roi of an investment in s&p500 <TIME>?", "original_question": "what is the roi of an investment in s&p500 from 2014 to 2016?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2014 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"45%": [{"start": "2013-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2013 to 2017"}], "9.0%": [{"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2014 to 2016"}], "19.1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ORLY/2017/page_30.pdf-1", "qa": {"question": "what is the roi of an investment in s&p500 from 2014 to 2016?", "answer": "9.0%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "157", "arg2": "144", "res": "13"}, {"op": "divide1-2", "arg1": "#0", "arg2": "144", "res": "9.0%"}], "program": "subtract(157, 144), divide(#0, 144)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"}, "exe_ans": 0.09028, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2012 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2012 is 100 ; The s&p 500 retail index of december 31 , 2013 is 144 ; The s&p 500 retail index of december 31 , 2014 is 158 ; The s&p 500 retail index of december 31 , 2015 is 197 ; The s&p 500 retail index of december 31 , 2016 is 206 ; The s&p 500 retail index of december 31 , 2017 is 265 ;"}, "program_re": "divide(subtract(157, 144), 144)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2012 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2013 is $ 144 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 215 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 283 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 311 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 269 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2012 is 100 ; the s&p 500 retail index of december 31 , 2013 is 144 ; the s&p 500 retail index of december 31 , 2014 is 158 ; the s&p 500 retail index of december 31 , 2015 is 197 ; the s&p 500 retail index of december 31 , 2016 is 206 ; the s&p 500 retail index of december 31 , 2017 is 265 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"]]}, "answers": ["9.0%"]}, "rejected_source": {"id": "ORLY/2017/page_30.pdf-3", "qa": {"question": "what is the roi of an investment in s&p500 from 2016 to 2017?", "answer": "19.1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "187", "arg2": "157", "res": "30"}, {"op": "divide2-2", "arg1": "#0", "arg2": "157", "res": "19.1%"}], "program": "subtract(187, 157), divide(#0, 157)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"}, "exe_ans": 0.19108, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2012 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2012 is 100 ; The s&p 500 retail index of december 31 , 2013 is 144 ; The s&p 500 retail index of december 31 , 2014 is 158 ; The s&p 500 retail index of december 31 , 2015 is 197 ; The s&p 500 retail index of december 31 , 2016 is 206 ; The s&p 500 retail index of december 31 , 2017 is 265 ;"}, "program_re": "divide(subtract(187, 157), 157)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2012 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2013 is $ 144 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 215 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 283 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 311 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 269 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2012 is 100 ; the s&p 500 retail index of december 31 , 2013 is 144 ; the s&p 500 retail index of december 31 , 2014 is 158 ; the s&p 500 retail index of december 31 , 2015 is 197 ; the s&p 500 retail index of december 31 , 2016 is 206 ; the s&p 500 retail index of december 31 , 2017 is 265 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"]]}, "answers": ["19.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000982", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in s&p500 from 2014 to 2016?\nReference time interval: 2014-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "9.0%.", "rejected": "45%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ORLY || what is the roi of an investment in s&p500 <TIME>?", "doc_prefix": "ORLY", "base_question": "what is the roi of an investment in s&p500 <TIME>?", "original_question": "what is the roi of an investment in s&p500 from 2014 to 2016?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2014 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"45%": [{"start": "2013-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2013 to 2017"}], "9.0%": [{"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2014 to 2016"}], "19.1%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "ORLY/2017/page_30.pdf-1", "qa": {"question": "what is the roi of an investment in s&p500 from 2014 to 2016?", "answer": "9.0%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "157", "arg2": "144", "res": "13"}, {"op": "divide1-2", "arg1": "#0", "arg2": "144", "res": "9.0%"}], "program": "subtract(157, 144), divide(#0, 144)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"}, "exe_ans": 0.09028, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2012 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2012 is 100 ; The s&p 500 retail index of december 31 , 2013 is 144 ; The s&p 500 retail index of december 31 , 2014 is 158 ; The s&p 500 retail index of december 31 , 2015 is 197 ; The s&p 500 retail index of december 31 , 2016 is 206 ; The s&p 500 retail index of december 31 , 2017 is 265 ;"}, "program_re": "divide(subtract(157, 144), 144)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2012 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2013 is $ 144 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 215 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 283 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 311 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 269 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2012 is 100 ; the s&p 500 retail index of december 31 , 2013 is 144 ; the s&p 500 retail index of december 31 , 2014 is 158 ; the s&p 500 retail index of december 31 , 2015 is 197 ; the s&p 500 retail index of december 31 , 2016 is 206 ; the s&p 500 retail index of december 31 , 2017 is 265 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2012 is $ 100 ; the s&p 500 of december 31 , 2013 is $ 130 ; the s&p 500 of december 31 , 2014 is $ 144 ; the s&p 500 of december 31 , 2015 is $ 143 ; the s&p 500 of december 31 , 2016 is $ 157 ; the s&p 500 of december 31 , 2017 is $ 187 ;"]]}, "answers": ["9.0%"]}, "rejected_source": {"id": "ORLY/2018/page_30.pdf-4", "qa": {"question": "what is the roi of an investment in s&p500 from 2013 to 2017?", "answer": "45%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "145", "arg2": "100", "res": "45"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "45%"}], "program": "subtract(145, 100), divide(#0, 100)", "gold_inds": {"table_3": "company/index the s&p 500 of december 31 , 2013 is $ 100 ; the s&p 500 of december 31 , 2014 is $ 111 ; the s&p 500 of december 31 , 2015 is $ 111 ; the s&p 500 of december 31 , 2016 is $ 121 ; the s&p 500 of december 31 , 2017 is $ 145 ; the s&p 500 of december 31 , 2018 is $ 136 ;"}, "exe_ans": 0.45, "tfidftopn": {"text_0": "stock performance graph : the graph below shows the cumulative total shareholder return assuming the investment of $ 100 , on december 31 , 2013 , and the reinvestment of dividends thereafter , if any , in the company 2019s common stock versus the standard and poor 2019s s&p 500 retail index ( 201cs&p 500 retail index 201d ) and the standard and poor 2019s s&p 500 index ( 201cs&p 500 201d ) . .", "table_2": "company/index The s&p 500 retail index of december 31 , 2013 is 100 ; The s&p 500 retail index of december 31 , 2014 is 110 ; The s&p 500 retail index of december 31 , 2015 is 137 ; The s&p 500 retail index of december 31 , 2016 is 143 ; The s&p 500 retail index of december 31 , 2017 is 184 ; The s&p 500 retail index of december 31 , 2018 is 208 ;"}, "program_re": "divide(subtract(145, 100), 100)", "model_input": [["table_1", "company/index the o 2019reilly automotive inc . of december 31 , 2013 is $ 100 ; the o 2019reilly automotive inc . of december 31 , 2014 is $ 150 ; the o 2019reilly automotive inc . of december 31 , 2015 is $ 197 ; the o 2019reilly automotive inc . of december 31 , 2016 is $ 216 ; the o 2019reilly automotive inc . of december 31 , 2017 is $ 187 ; the o 2019reilly automotive inc . of december 31 , 2018 is $ 268 ;"], ["table_2", "company/index the s&p 500 retail index of december 31 , 2013 is 100 ; the s&p 500 retail index of december 31 , 2014 is 110 ; the s&p 500 retail index of december 31 , 2015 is 137 ; the s&p 500 retail index of december 31 , 2016 is 143 ; the s&p 500 retail index of december 31 , 2017 is 184 ; the s&p 500 retail index of december 31 , 2018 is 208 ;"], ["table_3", "company/index the s&p 500 of december 31 , 2013 is $ 100 ; the s&p 500 of december 31 , 2014 is $ 111 ; the s&p 500 of december 31 , 2015 is $ 111 ; the s&p 500 of december 31 , 2016 is $ 121 ; the s&p 500 of december 31 , 2017 is $ 145 ; the s&p 500 of december 31 , 2018 is $ 136 ;"]]}, "answers": ["45%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000983", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net revenue in the investing & lending segment during 2016 was comprised of equity securities?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "63%.", "rejected": "70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total net revenue in the investing & lending segment <TIME> was comprised of equity securities?", "doc_prefix": "GS", "base_question": "what percentage of total net revenue in the investing & lending segment <TIME> was comprised of equity securities?", "original_question": "what percentage of total net revenue in the investing & lending segment during 2016 was comprised of equity securities?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"63%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "70%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "GS/2017/page_74.pdf-2", "qa": {"question": "what percentage of total net revenue in the investing & lending segment during 2016 was comprised of equity securities?", "answer": "63%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "2573", "arg2": "4080", "res": "63%"}], "program": "divide(2573, 4080)", "gold_inds": {"table_1": "$ in millions the equity securities of year ended december 2017 is $ 4578 ; the equity securities of year ended december 2016 is $ 2573 ; the equity securities of year ended december 2015 is $ 3781 ;", "table_3": "$ in millions the total net revenues of year ended december 2017 is 6581 ; the total net revenues of year ended december 2016 is 4080 ; the total net revenues of year ended december 2015 is 5436 ;"}, "exe_ans": 0.63064, "tfidftopn": {"text_6": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(2573, 4080)", "model_input": [["table_1", "$ in millions the equity securities of year ended december 2017 is $ 4578 ; the equity securities of year ended december 2016 is $ 2573 ; the equity securities of year ended december 2015 is $ 3781 ;"], ["table_3", "$ in millions the total net revenues of year ended december 2017 is 6581 ; the total net revenues of year ended december 2016 is 4080 ; the total net revenues of year ended december 2015 is 5436 ;"], ["text_24", "net revenues in equity securities were $ 2.57 billion , including $ 2.17 billion of net gains from private equities and $ 402 million in net gains from public equities ."]]}, "answers": ["63%"]}, "rejected_source": {"id": "GS/2017/page_74.pdf-4", "qa": {"question": "what percentage of total net revenue in the investing & lending segment during 2017 was comprised of equity securities?", "answer": "70%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "4578", "arg2": "6581", "res": "70%"}], "program": "divide(4578, 6581)", "gold_inds": {"table_1": "$ in millions the equity securities of year ended december 2017 is $ 4578 ; the equity securities of year ended december 2016 is $ 2573 ; the equity securities of year ended december 2015 is $ 3781 ;", "table_3": "$ in millions the total net revenues of year ended december 2017 is 6581 ; the total net revenues of year ended december 2016 is 4080 ; the total net revenues of year ended december 2015 is 5436 ;"}, "exe_ans": 0.69564, "tfidftopn": {"text_6": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(4578, 6581)", "model_input": [["table_1", "$ in millions the equity securities of year ended december 2017 is $ 4578 ; the equity securities of year ended december 2016 is $ 2573 ; the equity securities of year ended december 2015 is $ 3781 ;"], ["table_3", "$ in millions the total net revenues of year ended december 2017 is 6581 ; the total net revenues of year ended december 2016 is 4080 ; the total net revenues of year ended december 2015 is 5436 ;"], ["text_24", "net revenues in equity securities were $ 2.57 billion , including $ 2.17 billion of net gains from private equities and $ 402 million in net gains from public equities ."]]}, "answers": ["70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000984", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total net revenue in the investing & lending segment during 2017 was comprised of equity securities?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "70%.", "rejected": "63%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of total net revenue in the investing & lending segment <TIME> was comprised of equity securities?", "doc_prefix": "GS", "base_question": "what percentage of total net revenue in the investing & lending segment <TIME> was comprised of equity securities?", "original_question": "what percentage of total net revenue in the investing & lending segment during 2017 was comprised of equity securities?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"63%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "70%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "GS/2017/page_74.pdf-4", "qa": {"question": "what percentage of total net revenue in the investing & lending segment during 2017 was comprised of equity securities?", "answer": "70%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "4578", "arg2": "6581", "res": "70%"}], "program": "divide(4578, 6581)", "gold_inds": {"table_1": "$ in millions the equity securities of year ended december 2017 is $ 4578 ; the equity securities of year ended december 2016 is $ 2573 ; the equity securities of year ended december 2015 is $ 3781 ;", "table_3": "$ in millions the total net revenues of year ended december 2017 is 6581 ; the total net revenues of year ended december 2016 is 4080 ; the total net revenues of year ended december 2015 is 5436 ;"}, "exe_ans": 0.69564, "tfidftopn": {"text_6": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(4578, 6581)", "model_input": [["table_1", "$ in millions the equity securities of year ended december 2017 is $ 4578 ; the equity securities of year ended december 2016 is $ 2573 ; the equity securities of year ended december 2015 is $ 3781 ;"], ["table_3", "$ in millions the total net revenues of year ended december 2017 is 6581 ; the total net revenues of year ended december 2016 is 4080 ; the total net revenues of year ended december 2015 is 5436 ;"], ["text_24", "net revenues in equity securities were $ 2.57 billion , including $ 2.17 billion of net gains from private equities and $ 402 million in net gains from public equities ."]]}, "answers": ["70%"]}, "rejected_source": {"id": "GS/2017/page_74.pdf-2", "qa": {"question": "what percentage of total net revenue in the investing & lending segment during 2016 was comprised of equity securities?", "answer": "63%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "2573", "arg2": "4080", "res": "63%"}], "program": "divide(2573, 4080)", "gold_inds": {"table_1": "$ in millions the equity securities of year ended december 2017 is $ 4578 ; the equity securities of year ended december 2016 is $ 2573 ; the equity securities of year ended december 2015 is $ 3781 ;", "table_3": "$ in millions the total net revenues of year ended december 2017 is 6581 ; the total net revenues of year ended december 2016 is 4080 ; the total net revenues of year ended december 2015 is 5436 ;"}, "exe_ans": 0.63064, "tfidftopn": {"text_6": "the table below presents the operating results of our investing & lending segment. ."}, "program_re": "divide(2573, 4080)", "model_input": [["table_1", "$ in millions the equity securities of year ended december 2017 is $ 4578 ; the equity securities of year ended december 2016 is $ 2573 ; the equity securities of year ended december 2015 is $ 3781 ;"], ["table_3", "$ in millions the total net revenues of year ended december 2017 is 6581 ; the total net revenues of year ended december 2016 is 4080 ; the total net revenues of year ended december 2015 is 5436 ;"], ["text_24", "net revenues in equity securities were $ 2.57 billion , including $ 2.17 billion of net gains from private equities and $ 402 million in net gains from public equities ."]]}, "answers": ["63%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000985", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in interest payments from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-3.3%.", "rejected": "16.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the percentage change in interest payments <TIME>?", "doc_prefix": "LMT", "base_question": "what is the percentage change in interest payments <TIME>?", "original_question": "what is the percentage change in interest payments from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.3%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "16.0%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "LMT/2012/page_81.pdf-3", "qa": {"question": "what is the percentage change in interest payments from 2010 to 2011?", "answer": "-3.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [24], "steps": [{"op": "minus2-1", "arg1": "326", "arg2": "337", "res": "-11"}, {"op": "divide2-2", "arg1": "#0", "arg2": "337", "res": "-3.3%"}], "program": "subtract(326, 337), divide(#0, 337)", "gold_inds": {"text_24": "interest payments were $ 378 million in 2012 , $ 326 million in 2011 , and $ 337 million in 2010. ."}, "exe_ans": -0.03264, "tfidftopn": {"text_21": "there were no commercial paper borrowings outstanding during 2012 or 2011 .", "table_3": "The other debt of 2012 is 478 ; The other debt of 2011 is 19 ;"}, "program_re": "divide(subtract(326, 337), 337)", "model_input": [["text_7", "on september 9 , 2011 , we issued $ 2.0 billion of long-term notes in a registered public offering consisting of $ 500 million maturing in 2016 with a fixed interest rate of 2.13% ( 2.13 % ) , $ 900 million maturing in 2021 with a fixed interest rate of 3.35% ( 3.35 % ) , and $ 600 million maturing in 2041 with a fixed interest rate of 4.85% ( 4.85 % ) ."], ["text_9", "interest on the notes is payable on march 15 and september 15 of each year , beginning on march 15 , 2012 ."], ["text_24", "interest payments were $ 378 million in 2012 , $ 326 million in 2011 , and $ 337 million in 2010. ."]]}, "answers": ["-3.3%"]}, "rejected_source": {"id": "LMT/2012/page_81.pdf-1", "qa": {"question": "what is the percentage change in interest payments from 2011 to 2012?", "answer": "16.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [24], "steps": [{"op": "minus1-1", "arg1": "378", "arg2": "326", "res": "52"}, {"op": "divide1-2", "arg1": "#0", "arg2": "326", "res": "16.0%"}], "program": "subtract(378, 326), divide(#0, 326)", "gold_inds": {"text_24": "interest payments were $ 378 million in 2012 , $ 326 million in 2011 , and $ 337 million in 2010. ."}, "exe_ans": 0.15951, "tfidftopn": {"text_21": "there were no commercial paper borrowings outstanding during 2012 or 2011 .", "table_3": "The other debt of 2012 is 478 ; The other debt of 2011 is 19 ;"}, "program_re": "divide(subtract(378, 326), 326)", "model_input": [["text_7", "on september 9 , 2011 , we issued $ 2.0 billion of long-term notes in a registered public offering consisting of $ 500 million maturing in 2016 with a fixed interest rate of 2.13% ( 2.13 % ) , $ 900 million maturing in 2021 with a fixed interest rate of 3.35% ( 3.35 % ) , and $ 600 million maturing in 2041 with a fixed interest rate of 4.85% ( 4.85 % ) ."], ["text_9", "interest on the notes is payable on march 15 and september 15 of each year , beginning on march 15 , 2012 ."], ["text_24", "interest payments were $ 378 million in 2012 , $ 326 million in 2011 , and $ 337 million in 2010. ."]]}, "answers": ["16.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000986", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in interest payments from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "16.0%.", "rejected": "-3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the percentage change in interest payments <TIME>?", "doc_prefix": "LMT", "base_question": "what is the percentage change in interest payments <TIME>?", "original_question": "what is the percentage change in interest payments from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3.3%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "16.0%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "LMT/2012/page_81.pdf-1", "qa": {"question": "what is the percentage change in interest payments from 2011 to 2012?", "answer": "16.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [24], "steps": [{"op": "minus1-1", "arg1": "378", "arg2": "326", "res": "52"}, {"op": "divide1-2", "arg1": "#0", "arg2": "326", "res": "16.0%"}], "program": "subtract(378, 326), divide(#0, 326)", "gold_inds": {"text_24": "interest payments were $ 378 million in 2012 , $ 326 million in 2011 , and $ 337 million in 2010. ."}, "exe_ans": 0.15951, "tfidftopn": {"text_21": "there were no commercial paper borrowings outstanding during 2012 or 2011 .", "table_3": "The other debt of 2012 is 478 ; The other debt of 2011 is 19 ;"}, "program_re": "divide(subtract(378, 326), 326)", "model_input": [["text_7", "on september 9 , 2011 , we issued $ 2.0 billion of long-term notes in a registered public offering consisting of $ 500 million maturing in 2016 with a fixed interest rate of 2.13% ( 2.13 % ) , $ 900 million maturing in 2021 with a fixed interest rate of 3.35% ( 3.35 % ) , and $ 600 million maturing in 2041 with a fixed interest rate of 4.85% ( 4.85 % ) ."], ["text_9", "interest on the notes is payable on march 15 and september 15 of each year , beginning on march 15 , 2012 ."], ["text_24", "interest payments were $ 378 million in 2012 , $ 326 million in 2011 , and $ 337 million in 2010. ."]]}, "answers": ["16.0%"]}, "rejected_source": {"id": "LMT/2012/page_81.pdf-3", "qa": {"question": "what is the percentage change in interest payments from 2010 to 2011?", "answer": "-3.3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [24], "steps": [{"op": "minus2-1", "arg1": "326", "arg2": "337", "res": "-11"}, {"op": "divide2-2", "arg1": "#0", "arg2": "337", "res": "-3.3%"}], "program": "subtract(326, 337), divide(#0, 337)", "gold_inds": {"text_24": "interest payments were $ 378 million in 2012 , $ 326 million in 2011 , and $ 337 million in 2010. ."}, "exe_ans": -0.03264, "tfidftopn": {"text_21": "there were no commercial paper borrowings outstanding during 2012 or 2011 .", "table_3": "The other debt of 2012 is 478 ; The other debt of 2011 is 19 ;"}, "program_re": "divide(subtract(326, 337), 337)", "model_input": [["text_7", "on september 9 , 2011 , we issued $ 2.0 billion of long-term notes in a registered public offering consisting of $ 500 million maturing in 2016 with a fixed interest rate of 2.13% ( 2.13 % ) , $ 900 million maturing in 2021 with a fixed interest rate of 3.35% ( 3.35 % ) , and $ 600 million maturing in 2041 with a fixed interest rate of 4.85% ( 4.85 % ) ."], ["text_9", "interest on the notes is payable on march 15 and september 15 of each year , beginning on march 15 , 2012 ."], ["text_24", "interest payments were $ 378 million in 2012 , $ 326 million in 2011 , and $ 337 million in 2010. ."]]}, "answers": ["-3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000987", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in interest paid between 2012 and 2013 in millions?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "0.3.", "rejected": "12.8.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the change in interest paid <TIME> in millions?", "doc_prefix": "ZBH", "base_question": "what was the change in interest paid <TIME> in millions?", "original_question": "what was the change in interest paid between 2012 and 2013 in millions?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12.8": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "0.3": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}]}, "chosen_source": {"id": "ZBH/2013/page_57.pdf-2", "qa": {"question": "what was the change in interest paid between 2012 and 2013 in millions?", "answer": "0.3", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus2-1", "arg1": "68.1", "arg2": "67.8", "res": "0.3"}], "program": "subtract(68.1, 67.8)", "gold_inds": {"text_14": "we paid $ 68.1 million , $ 67.8 million and $ 55.0 million in interest during 2013 , 2012 and 2011 , respectively ."}, "exe_ans": 0.3, "tfidftopn": {"table_1": "The balance december 31 2012 of foreign currency translation is $ 445.5 ; The balance december 31 2012 of cash flow hedges is $ 4.1 ; The balance december 31 2012 of unrealizedgains onsecurities is $ 0.4 ; The balance december 31 2012 of defined benefit plan items is $ -106.1 ( 106.1 ) ;", "text_26": "the following table shows the changes in the components of oci , net of tax ( in millions ) : foreign currency translation hedges unrealized gains on securities defined benefit ."}, "program_re": "subtract(68.1, 67.8)", "model_input": [["text_14", "we paid $ 68.1 million , $ 67.8 million and $ 55.0 million in interest during 2013 , 2012 and 2011 , respectively ."], ["table_1", "the balance december 31 2012 of foreign currency translation is $ 445.5 ; the balance december 31 2012 of cash flow hedges is $ 4.1 ; the balance december 31 2012 of unrealizedgains onsecurities is $ 0.4 ; the balance december 31 2012 of defined benefit plan items is $ -106.1 ( 106.1 ) ;"], ["table_4", "the balance december 31 2013 of foreign currency translation is $ 401.1 ; the balance december 31 2013 of cash flow hedges is $ 33.1 ; the balance december 31 2013 of unrealizedgains onsecurities is $ 0.5 ; the balance december 31 2013 of defined benefit plan items is $ -67.6 ( 67.6 ) ;"]]}, "answers": ["0.3"]}, "rejected_source": {"id": "ZBH/2013/page_57.pdf-1", "qa": {"question": "what was the change in interest paid between 2011 and 2012 in millions?", "answer": "12.8", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus1-1", "arg1": "67.8", "arg2": "55.0", "res": "12.8"}], "program": "subtract(67.8, 55.0)", "gold_inds": {"text_14": "we paid $ 68.1 million , $ 67.8 million and $ 55.0 million in interest during 2013 , 2012 and 2011 , respectively ."}, "exe_ans": 12.8, "tfidftopn": {"table_1": "The balance december 31 2012 of foreign currency translation is $ 445.5 ; The balance december 31 2012 of cash flow hedges is $ 4.1 ; The balance december 31 2012 of unrealizedgains onsecurities is $ 0.4 ; The balance december 31 2012 of defined benefit plan items is $ -106.1 ( 106.1 ) ;", "text_26": "the following table shows the changes in the components of oci , net of tax ( in millions ) : foreign currency translation hedges unrealized gains on securities defined benefit ."}, "program_re": "subtract(67.8, 55.0)", "model_input": [["text_2", "interest on each series is payable on may 30 and november 30 of each year until maturity ."], ["text_14", "we paid $ 68.1 million , $ 67.8 million and $ 55.0 million in interest during 2013 , 2012 and 2011 , respectively ."], ["table_1", "the balance december 31 2012 of foreign currency translation is $ 445.5 ; the balance december 31 2012 of cash flow hedges is $ 4.1 ; the balance december 31 2012 of unrealizedgains onsecurities is $ 0.4 ; the balance december 31 2012 of defined benefit plan items is $ -106.1 ( 106.1 ) ;"]]}, "answers": ["12.8"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000988", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in interest paid between 2011 and 2012 in millions?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "12.8.", "rejected": "0.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the change in interest paid <TIME> in millions?", "doc_prefix": "ZBH", "base_question": "what was the change in interest paid <TIME> in millions?", "original_question": "what was the change in interest paid between 2011 and 2012 in millions?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12.8": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "0.3": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}]}, "chosen_source": {"id": "ZBH/2013/page_57.pdf-1", "qa": {"question": "what was the change in interest paid between 2011 and 2012 in millions?", "answer": "12.8", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus1-1", "arg1": "67.8", "arg2": "55.0", "res": "12.8"}], "program": "subtract(67.8, 55.0)", "gold_inds": {"text_14": "we paid $ 68.1 million , $ 67.8 million and $ 55.0 million in interest during 2013 , 2012 and 2011 , respectively ."}, "exe_ans": 12.8, "tfidftopn": {"table_1": "The balance december 31 2012 of foreign currency translation is $ 445.5 ; The balance december 31 2012 of cash flow hedges is $ 4.1 ; The balance december 31 2012 of unrealizedgains onsecurities is $ 0.4 ; The balance december 31 2012 of defined benefit plan items is $ -106.1 ( 106.1 ) ;", "text_26": "the following table shows the changes in the components of oci , net of tax ( in millions ) : foreign currency translation hedges unrealized gains on securities defined benefit ."}, "program_re": "subtract(67.8, 55.0)", "model_input": [["text_2", "interest on each series is payable on may 30 and november 30 of each year until maturity ."], ["text_14", "we paid $ 68.1 million , $ 67.8 million and $ 55.0 million in interest during 2013 , 2012 and 2011 , respectively ."], ["table_1", "the balance december 31 2012 of foreign currency translation is $ 445.5 ; the balance december 31 2012 of cash flow hedges is $ 4.1 ; the balance december 31 2012 of unrealizedgains onsecurities is $ 0.4 ; the balance december 31 2012 of defined benefit plan items is $ -106.1 ( 106.1 ) ;"]]}, "answers": ["12.8"]}, "rejected_source": {"id": "ZBH/2013/page_57.pdf-2", "qa": {"question": "what was the change in interest paid between 2012 and 2013 in millions?", "answer": "0.3", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus2-1", "arg1": "68.1", "arg2": "67.8", "res": "0.3"}], "program": "subtract(68.1, 67.8)", "gold_inds": {"text_14": "we paid $ 68.1 million , $ 67.8 million and $ 55.0 million in interest during 2013 , 2012 and 2011 , respectively ."}, "exe_ans": 0.3, "tfidftopn": {"table_1": "The balance december 31 2012 of foreign currency translation is $ 445.5 ; The balance december 31 2012 of cash flow hedges is $ 4.1 ; The balance december 31 2012 of unrealizedgains onsecurities is $ 0.4 ; The balance december 31 2012 of defined benefit plan items is $ -106.1 ( 106.1 ) ;", "text_26": "the following table shows the changes in the components of oci , net of tax ( in millions ) : foreign currency translation hedges unrealized gains on securities defined benefit ."}, "program_re": "subtract(68.1, 67.8)", "model_input": [["text_14", "we paid $ 68.1 million , $ 67.8 million and $ 55.0 million in interest during 2013 , 2012 and 2011 , respectively ."], ["table_1", "the balance december 31 2012 of foreign currency translation is $ 445.5 ; the balance december 31 2012 of cash flow hedges is $ 4.1 ; the balance december 31 2012 of unrealizedgains onsecurities is $ 0.4 ; the balance december 31 2012 of defined benefit plan items is $ -106.1 ( 106.1 ) ;"], ["table_4", "the balance december 31 2013 of foreign currency translation is $ 401.1 ; the balance december 31 2013 of cash flow hedges is $ 33.1 ; the balance december 31 2013 of unrealizedgains onsecurities is $ 0.5 ; the balance december 31 2013 of defined benefit plan items is $ -67.6 ( 67.6 ) ;"]]}, "answers": ["0.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000989", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of total operating expenses is related to compensation and benefits in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "56.6%.", "rejected": "57.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what portion of total operating expenses is related to compensation and benefits <TIME>?", "doc_prefix": "GS", "base_question": "what portion of total operating expenses is related to compensation and benefits <TIME>?", "original_question": "what portion of total operating expenses is related to compensation and benefits in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"57.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "56.6%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "GS/2017/page_67.pdf-1", "qa": {"question": "what portion of total operating expenses is related to compensation and benefits in 2017?", "answer": "56.6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2, 11], "steps": [{"op": "divide1-1", "arg1": "11853", "arg2": "20941", "res": "56.6%"}], "program": "divide(11853, 20941)", "gold_inds": {"text_2": "in addition , revenues in debt securities and loans were significantly lower compared with 2015 , reflecting significantly lower revenues related to relationship lending activities , due to the impact of changes in credit spreads on economic hedges .", "text_11": "compensation and benefits includes salaries , discretionary compensation , amortization of equity awards and other items such as benefits .", "table_1": "$ in millions the compensation and benefits of year ended december 2017 is $ 11853 ; the compensation and benefits of year ended december 2016 is $ 11647 ; the compensation and benefits of year ended december 2015 is $ 12678 ;", "table_10": "$ in millions the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ; the total operating expenses of year ended december 2015 is $ 25042 ;"}, "exe_ans": 0.56602, "tfidftopn": {}, "program_re": "divide(11853, 20941)", "model_input": [["text_2", "in addition , revenues in debt securities and loans were significantly lower compared with 2015 , reflecting significantly lower revenues related to relationship lending activities , due to the impact of changes in credit spreads on economic hedges ."], ["text_11", "compensation and benefits includes salaries , discretionary compensation , amortization of equity awards and other items such as benefits ."], ["table_1", "$ in millions the compensation and benefits of year ended december 2017 is $ 11853 ; the compensation and benefits of year ended december 2016 is $ 11647 ; the compensation and benefits of year ended december 2015 is $ 12678 ;"], ["table_10", "$ in millions the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ; the total operating expenses of year ended december 2015 is $ 25042 ;"]]}, "answers": ["56.6%"]}, "rejected_source": {"id": "GS/2017/page_67.pdf-2", "qa": {"question": "what portion of total operating expenses is related to compensation and benefits in 2016?", "answer": "57.4%", "explanation": "", "ann_table_rows": [1, 10], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "11647", "arg2": "20304", "res": "57.4%"}], "program": "divide(11647, 20304)", "gold_inds": {"table_1": "$ in millions the compensation and benefits of year ended december 2017 is $ 11853 ; the compensation and benefits of year ended december 2016 is $ 11647 ; the compensation and benefits of year ended december 2015 is $ 12678 ;", "table_10": "$ in millions the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ; the total operating expenses of year ended december 2015 is $ 25042 ;"}, "exe_ans": 0.57363, "tfidftopn": {"text_10": "operating expenses our operating expenses are primarily influenced by compensation , headcount and levels of business activity ."}, "program_re": "divide(11647, 20304)", "model_input": [["table_1", "$ in millions the compensation and benefits of year ended december 2017 is $ 11853 ; the compensation and benefits of year ended december 2016 is $ 11647 ; the compensation and benefits of year ended december 2015 is $ 12678 ;"], ["table_9", "$ in millions the totalnon-compensationexpenses of year ended december 2017 is 9088 ; the totalnon-compensationexpenses of year ended december 2016 is 8657 ; the totalnon-compensationexpenses of year ended december 2015 is 12364 ;"], ["table_10", "$ in millions the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ; the total operating expenses of year ended december 2015 is $ 25042 ;"]]}, "answers": ["57.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000990", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of total operating expenses is related to compensation and benefits in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "57.4%.", "rejected": "56.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what portion of total operating expenses is related to compensation and benefits <TIME>?", "doc_prefix": "GS", "base_question": "what portion of total operating expenses is related to compensation and benefits <TIME>?", "original_question": "what portion of total operating expenses is related to compensation and benefits in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"57.4%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "56.6%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "GS/2017/page_67.pdf-2", "qa": {"question": "what portion of total operating expenses is related to compensation and benefits in 2016?", "answer": "57.4%", "explanation": "", "ann_table_rows": [1, 10], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "11647", "arg2": "20304", "res": "57.4%"}], "program": "divide(11647, 20304)", "gold_inds": {"table_1": "$ in millions the compensation and benefits of year ended december 2017 is $ 11853 ; the compensation and benefits of year ended december 2016 is $ 11647 ; the compensation and benefits of year ended december 2015 is $ 12678 ;", "table_10": "$ in millions the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ; the total operating expenses of year ended december 2015 is $ 25042 ;"}, "exe_ans": 0.57363, "tfidftopn": {"text_10": "operating expenses our operating expenses are primarily influenced by compensation , headcount and levels of business activity ."}, "program_re": "divide(11647, 20304)", "model_input": [["table_1", "$ in millions the compensation and benefits of year ended december 2017 is $ 11853 ; the compensation and benefits of year ended december 2016 is $ 11647 ; the compensation and benefits of year ended december 2015 is $ 12678 ;"], ["table_9", "$ in millions the totalnon-compensationexpenses of year ended december 2017 is 9088 ; the totalnon-compensationexpenses of year ended december 2016 is 8657 ; the totalnon-compensationexpenses of year ended december 2015 is 12364 ;"], ["table_10", "$ in millions the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ; the total operating expenses of year ended december 2015 is $ 25042 ;"]]}, "answers": ["57.4%"]}, "rejected_source": {"id": "GS/2017/page_67.pdf-1", "qa": {"question": "what portion of total operating expenses is related to compensation and benefits in 2017?", "answer": "56.6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2, 11], "steps": [{"op": "divide1-1", "arg1": "11853", "arg2": "20941", "res": "56.6%"}], "program": "divide(11853, 20941)", "gold_inds": {"text_2": "in addition , revenues in debt securities and loans were significantly lower compared with 2015 , reflecting significantly lower revenues related to relationship lending activities , due to the impact of changes in credit spreads on economic hedges .", "text_11": "compensation and benefits includes salaries , discretionary compensation , amortization of equity awards and other items such as benefits .", "table_1": "$ in millions the compensation and benefits of year ended december 2017 is $ 11853 ; the compensation and benefits of year ended december 2016 is $ 11647 ; the compensation and benefits of year ended december 2015 is $ 12678 ;", "table_10": "$ in millions the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ; the total operating expenses of year ended december 2015 is $ 25042 ;"}, "exe_ans": 0.56602, "tfidftopn": {}, "program_re": "divide(11853, 20941)", "model_input": [["text_2", "in addition , revenues in debt securities and loans were significantly lower compared with 2015 , reflecting significantly lower revenues related to relationship lending activities , due to the impact of changes in credit spreads on economic hedges ."], ["text_11", "compensation and benefits includes salaries , discretionary compensation , amortization of equity awards and other items such as benefits ."], ["table_1", "$ in millions the compensation and benefits of year ended december 2017 is $ 11853 ; the compensation and benefits of year ended december 2016 is $ 11647 ; the compensation and benefits of year ended december 2015 is $ 12678 ;"], ["table_10", "$ in millions the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ; the total operating expenses of year ended december 2015 is $ 25042 ;"]]}, "answers": ["56.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000991", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change of the net cash provided by ( used in ) operating activities from 2010 to 2011\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "47.1%.", "rejected": "507%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HII || what was the percentage change of the net cash provided by ( used in ) operating activities <TIME>", "doc_prefix": "HII", "base_question": "what was the percentage change of the net cash provided by ( used in ) operating activities <TIME>", "original_question": "what was the percentage change of the net cash provided by ( used in ) operating activities from 2010 to 2011", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"507%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "47.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "HII/2011/page_69.pdf-4", "qa": {"question": "what was the percentage change of the net cash provided by ( used in ) operating activities from 2010 to 2011", "answer": "47.1%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "169", "arg2": "359", "res": "47.1%"}], "program": "divide(169, 359)", "gold_inds": {"text_15": "the increase of $ 169 million was due principally to increased earnings net of impairment charges and lower pension contributions , offset by an increase in trade working capital .", "table_8": "( $ in millions ) the net cash provided by ( used in ) operating activities of year ended december 31 2011 is $ 528 ; the net cash provided by ( used in ) operating activities of year ended december 31 2010 is $ 359 ; the net cash provided by ( used in ) operating activities of year ended december 31 2009 is $ -88 ( 88 ) ;"}, "exe_ans": 0.47075, "tfidftopn": {"text_20": "2010 2014net cash provided by operating activities was $ 359 million in 2010 compared with cash used of $ 88 million in 2009 ."}, "program_re": "divide(169, 359)", "model_input": [["table_8", "( $ in millions ) the net cash provided by ( used in ) operating activities of year ended december 31 2011 is $ 528 ; the net cash provided by ( used in ) operating activities of year ended december 31 2010 is $ 359 ; the net cash provided by ( used in ) operating activities of year ended december 31 2009 is $ -88 ( 88 ) ;"], ["text_14", "operating activities 2011 2014cash provided by operating activities was $ 528 million in 2011 compared with $ 359 million in 2010 ."], ["text_15", "the increase of $ 169 million was due principally to increased earnings net of impairment charges and lower pension contributions , offset by an increase in trade working capital ."]]}, "answers": ["47.1%"]}, "rejected_source": {"id": "HII/2011/page_69.pdf-2", "qa": {"question": "what was the percentage change of the net cash provided by ( used in ) operating activities from 2009 to 2010", "answer": "507%", "explanation": "there was a 507% increase in the net cash provided by net cash provided by ( used in ) operating activities from 2009 to 2010", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "359", "arg2": "-88", "res": "447"}, {"op": "divide2-2", "arg1": "#0", "arg2": "88", "res": "507%"}], "program": "subtract(359, -88), divide(#0, 88)", "gold_inds": {"table_8": "( $ in millions ) the net cash provided by ( used in ) operating activities of year ended december 31 2011 is $ 528 ; the net cash provided by ( used in ) operating activities of year ended december 31 2010 is $ 359 ; the net cash provided by ( used in ) operating activities of year ended december 31 2009 is $ -88 ( 88 ) ;"}, "exe_ans": 5.07955, "tfidftopn": {"text_20": "2010 2014net cash provided by operating activities was $ 359 million in 2010 compared with cash used of $ 88 million in 2009 .", "text_12": "the table below summarizes key components of cash flow provided by ( used in ) operating activities: ."}, "program_re": "divide(subtract(359, -88), 88)", "model_input": [["table_1", "( $ in millions ) the net earnings ( loss ) of year ended december 31 2011 is $ -94 ( 94 ) ; the net earnings ( loss ) of year ended december 31 2010 is $ 135 ; the net earnings ( loss ) of year ended december 31 2009 is $ 124 ;"], ["table_8", "( $ in millions ) the net cash provided by ( used in ) operating activities of year ended december 31 2011 is $ 528 ; the net cash provided by ( used in ) operating activities of year ended december 31 2010 is $ 359 ; the net cash provided by ( used in ) operating activities of year ended december 31 2009 is $ -88 ( 88 ) ;"], ["text_20", "2010 2014net cash provided by operating activities was $ 359 million in 2010 compared with cash used of $ 88 million in 2009 ."]]}, "answers": ["507%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000992", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change of the net cash provided by ( used in ) operating activities from 2009 to 2010\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "507%.", "rejected": "47.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HII || what was the percentage change of the net cash provided by ( used in ) operating activities <TIME>", "doc_prefix": "HII", "base_question": "what was the percentage change of the net cash provided by ( used in ) operating activities <TIME>", "original_question": "what was the percentage change of the net cash provided by ( used in ) operating activities from 2009 to 2010", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"507%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "47.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "HII/2011/page_69.pdf-2", "qa": {"question": "what was the percentage change of the net cash provided by ( used in ) operating activities from 2009 to 2010", "answer": "507%", "explanation": "there was a 507% increase in the net cash provided by net cash provided by ( used in ) operating activities from 2009 to 2010", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "359", "arg2": "-88", "res": "447"}, {"op": "divide2-2", "arg1": "#0", "arg2": "88", "res": "507%"}], "program": "subtract(359, -88), divide(#0, 88)", "gold_inds": {"table_8": "( $ in millions ) the net cash provided by ( used in ) operating activities of year ended december 31 2011 is $ 528 ; the net cash provided by ( used in ) operating activities of year ended december 31 2010 is $ 359 ; the net cash provided by ( used in ) operating activities of year ended december 31 2009 is $ -88 ( 88 ) ;"}, "exe_ans": 5.07955, "tfidftopn": {"text_20": "2010 2014net cash provided by operating activities was $ 359 million in 2010 compared with cash used of $ 88 million in 2009 .", "text_12": "the table below summarizes key components of cash flow provided by ( used in ) operating activities: ."}, "program_re": "divide(subtract(359, -88), 88)", "model_input": [["table_1", "( $ in millions ) the net earnings ( loss ) of year ended december 31 2011 is $ -94 ( 94 ) ; the net earnings ( loss ) of year ended december 31 2010 is $ 135 ; the net earnings ( loss ) of year ended december 31 2009 is $ 124 ;"], ["table_8", "( $ in millions ) the net cash provided by ( used in ) operating activities of year ended december 31 2011 is $ 528 ; the net cash provided by ( used in ) operating activities of year ended december 31 2010 is $ 359 ; the net cash provided by ( used in ) operating activities of year ended december 31 2009 is $ -88 ( 88 ) ;"], ["text_20", "2010 2014net cash provided by operating activities was $ 359 million in 2010 compared with cash used of $ 88 million in 2009 ."]]}, "answers": ["507%"]}, "rejected_source": {"id": "HII/2011/page_69.pdf-4", "qa": {"question": "what was the percentage change of the net cash provided by ( used in ) operating activities from 2010 to 2011", "answer": "47.1%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "169", "arg2": "359", "res": "47.1%"}], "program": "divide(169, 359)", "gold_inds": {"text_15": "the increase of $ 169 million was due principally to increased earnings net of impairment charges and lower pension contributions , offset by an increase in trade working capital .", "table_8": "( $ in millions ) the net cash provided by ( used in ) operating activities of year ended december 31 2011 is $ 528 ; the net cash provided by ( used in ) operating activities of year ended december 31 2010 is $ 359 ; the net cash provided by ( used in ) operating activities of year ended december 31 2009 is $ -88 ( 88 ) ;"}, "exe_ans": 0.47075, "tfidftopn": {"text_20": "2010 2014net cash provided by operating activities was $ 359 million in 2010 compared with cash used of $ 88 million in 2009 ."}, "program_re": "divide(169, 359)", "model_input": [["table_8", "( $ in millions ) the net cash provided by ( used in ) operating activities of year ended december 31 2011 is $ 528 ; the net cash provided by ( used in ) operating activities of year ended december 31 2010 is $ 359 ; the net cash provided by ( used in ) operating activities of year ended december 31 2009 is $ -88 ( 88 ) ;"], ["text_14", "operating activities 2011 2014cash provided by operating activities was $ 528 million in 2011 compared with $ 359 million in 2010 ."], ["text_15", "the increase of $ 169 million was due principally to increased earnings net of impairment charges and lower pension contributions , offset by an increase in trade working capital ."]]}, "answers": ["47.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000993", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit from 2012 to 2013 for is&gs?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-6.1%.", "rejected": "-7.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit <TIME> for is&gs?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit <TIME> for is&gs?", "original_question": "what is the growth rate in operating profit from 2012 to 2013 for is&gs?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6.1%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-7.9%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "LMT/2014/page_46.pdf-3", "qa": {"question": "what is the growth rate in operating profit from 2012 to 2013 for is&gs?", "answer": "-6.1%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "759", "arg2": "808", "res": "-49"}, {"op": "divide2-2", "arg1": "#0", "arg2": "808", "res": "-6.1%"}], "program": "subtract(759, 808), divide(#0, 808)", "gold_inds": {"table_2": "the operating profit of 2014 is 699 ; the operating profit of 2013 is 759 ; the operating profit of 2012 is 808 ;"}, "exe_ans": -0.06064, "tfidftopn": {"text_5": "operating profit was comparable for the f-35 development contract and included adjustments of approximately $ 85 million to reflect the inception-to-date impacts of the downward revisions to the profit booking rate in both 2013 and 2012 .", "text_2": "aeronautics 2019 operating profit for 2013 decreased $ 87 million , or 5% ( 5 % ) , compared to 2012 ."}, "program_re": "divide(subtract(759, 808), 808)", "model_input": [["table_1", "the net sales of 2014 is $ 7788 ; the net sales of 2013 is $ 8367 ; the net sales of 2012 is $ 8846 ;"], ["table_2", "the operating profit of 2014 is 699 ; the operating profit of 2013 is 759 ; the operating profit of 2012 is 808 ;"], ["table_3", "the operating margins of 2014 is 9.0% ( 9.0 % ) ; the operating margins of 2013 is 9.1% ( 9.1 % ) ; the operating margins of 2012 is 9.1% ( 9.1 % ) ;"]]}, "answers": ["-6.1%"]}, "rejected_source": {"id": "LMT/2014/page_46.pdf-2", "qa": {"question": "what is the growth rate in operating profit from 2013 to 2014 for is&gs?", "answer": "-7.9%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "699", "arg2": "759", "res": "-60"}, {"op": "divide1-2", "arg1": "#0", "arg2": "759", "res": "-7.9%"}], "program": "subtract(699, 759), divide(#0, 759)", "gold_inds": {"table_2": "the operating profit of 2014 is 699 ; the operating profit of 2013 is 759 ; the operating profit of 2012 is 808 ;"}, "exe_ans": -0.07905, "tfidftopn": {"text_14": "2014 compared to 2013 is&gs 2019 net sales decreased $ 579 million , or 7% ( 7 % ) , for 2014 compared to 2013 .", "text_5": "operating profit was comparable for the f-35 development contract and included adjustments of approximately $ 85 million to reflect the inception-to-date impacts of the downward revisions to the profit booking rate in both 2013 and 2012 ."}, "program_re": "divide(subtract(699, 759), 759)", "model_input": [["table_1", "the net sales of 2014 is $ 7788 ; the net sales of 2013 is $ 8367 ; the net sales of 2012 is $ 8846 ;"], ["table_2", "the operating profit of 2014 is 699 ; the operating profit of 2013 is 759 ; the operating profit of 2012 is 808 ;"], ["table_3", "the operating margins of 2014 is 9.0% ( 9.0 % ) ; the operating margins of 2013 is 9.1% ( 9.1 % ) ; the operating margins of 2012 is 9.1% ( 9.1 % ) ;"]]}, "answers": ["-7.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000994", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating profit from 2013 to 2014 for is&gs?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-7.9%.", "rejected": "-6.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in operating profit <TIME> for is&gs?", "doc_prefix": "LMT", "base_question": "what is the growth rate in operating profit <TIME> for is&gs?", "original_question": "what is the growth rate in operating profit from 2013 to 2014 for is&gs?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6.1%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-7.9%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "LMT/2014/page_46.pdf-2", "qa": {"question": "what is the growth rate in operating profit from 2013 to 2014 for is&gs?", "answer": "-7.9%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "699", "arg2": "759", "res": "-60"}, {"op": "divide1-2", "arg1": "#0", "arg2": "759", "res": "-7.9%"}], "program": "subtract(699, 759), divide(#0, 759)", "gold_inds": {"table_2": "the operating profit of 2014 is 699 ; the operating profit of 2013 is 759 ; the operating profit of 2012 is 808 ;"}, "exe_ans": -0.07905, "tfidftopn": {"text_14": "2014 compared to 2013 is&gs 2019 net sales decreased $ 579 million , or 7% ( 7 % ) , for 2014 compared to 2013 .", "text_5": "operating profit was comparable for the f-35 development contract and included adjustments of approximately $ 85 million to reflect the inception-to-date impacts of the downward revisions to the profit booking rate in both 2013 and 2012 ."}, "program_re": "divide(subtract(699, 759), 759)", "model_input": [["table_1", "the net sales of 2014 is $ 7788 ; the net sales of 2013 is $ 8367 ; the net sales of 2012 is $ 8846 ;"], ["table_2", "the operating profit of 2014 is 699 ; the operating profit of 2013 is 759 ; the operating profit of 2012 is 808 ;"], ["table_3", "the operating margins of 2014 is 9.0% ( 9.0 % ) ; the operating margins of 2013 is 9.1% ( 9.1 % ) ; the operating margins of 2012 is 9.1% ( 9.1 % ) ;"]]}, "answers": ["-7.9%"]}, "rejected_source": {"id": "LMT/2014/page_46.pdf-3", "qa": {"question": "what is the growth rate in operating profit from 2012 to 2013 for is&gs?", "answer": "-6.1%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "759", "arg2": "808", "res": "-49"}, {"op": "divide2-2", "arg1": "#0", "arg2": "808", "res": "-6.1%"}], "program": "subtract(759, 808), divide(#0, 808)", "gold_inds": {"table_2": "the operating profit of 2014 is 699 ; the operating profit of 2013 is 759 ; the operating profit of 2012 is 808 ;"}, "exe_ans": -0.06064, "tfidftopn": {"text_5": "operating profit was comparable for the f-35 development contract and included adjustments of approximately $ 85 million to reflect the inception-to-date impacts of the downward revisions to the profit booking rate in both 2013 and 2012 .", "text_2": "aeronautics 2019 operating profit for 2013 decreased $ 87 million , or 5% ( 5 % ) , compared to 2012 ."}, "program_re": "divide(subtract(759, 808), 808)", "model_input": [["table_1", "the net sales of 2014 is $ 7788 ; the net sales of 2013 is $ 8367 ; the net sales of 2012 is $ 8846 ;"], ["table_2", "the operating profit of 2014 is 699 ; the operating profit of 2013 is 759 ; the operating profit of 2012 is 808 ;"], ["table_3", "the operating margins of 2014 is 9.0% ( 9.0 % ) ; the operating margins of 2013 is 9.1% ( 9.1 % ) ; the operating margins of 2012 is 9.1% ( 9.1 % ) ;"]]}, "answers": ["-6.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000995", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in the low price for the first quarter of 2003 and the high price for the fourth quarter of 2002?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "-0.54.", "rejected": "6.78.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the difference in the low price for the first quarter of <TIME> and the high price for the fourth quarter of <TIME>?", "doc_prefix": "AES", "base_question": "what was the difference in the low price for the first quarter of <TIME> and the high price for the fourth quarter of <TIME>?", "original_question": "what was the difference in the low price for the first quarter of 2003 and the high price for the fourth quarter of 2002?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-0.54": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.78": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}]}, "chosen_source": {"id": "AES/2003/page_48.pdf-3", "qa": {"question": "what was the difference in the low price for the first quarter of 2003 and the high price for the fourth quarter of 2002?", "answer": "-0.54", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3.57", "arg2": "4.11", "res": "-0.54"}], "program": "subtract(3.57, 4.11)", "gold_inds": {"table_3": "2003 first quarter the fourth quarter of high $ 4.04 is 9.50 ; the fourth quarter of low $ 2.72 is 7.57 ; the fourth quarter of 2002 first quarter is fourth quarter ; the fourth quarter of high $ 17.84 is 3.57 ; the fourth quarter of low $ 4.11 is 0.95 ;"}, "exe_ans": -0.54, "tfidftopn": {"table_2": "2003 first quarter The third quarter of high $ 4.04 is 7.70 ; The third quarter of low $ 2.72 is 5.91 ; The third quarter of 2002 first quarter is third quarter ; The third quarter of high $ 17.84 is 4.61 ; The third quarter of low $ 4.11 is 1.56 ;", "text_4": "price range of common stock ."}, "program_re": "subtract(3.57, 4.11)", "model_input": [["table_0", "2003 first quarter the 2003 first quarter of high $ 4.04 is high $ 4.04 ; the 2003 first quarter of low $ 2.72 is low $ 2.72 ; the 2003 first quarter of 2002 first quarter is 2002 first quarter ; the 2003 first quarter of high $ 17.84 is high $ 17.84 ; the 2003 first quarter of low $ 4.11 is low $ 4.11 ;"], ["table_1", "2003 first quarter the second quarter of high $ 4.04 is 8.37 ; the second quarter of low $ 2.72 is 3.75 ; the second quarter of 2002 first quarter is second quarter ; the second quarter of high $ 17.84 is 9.17 ; the second quarter of low $ 4.11 is 3.55 ;"], ["table_3", "2003 first quarter the fourth quarter of high $ 4.04 is 9.50 ; the fourth quarter of low $ 2.72 is 7.57 ; the fourth quarter of 2002 first quarter is fourth quarter ; the fourth quarter of high $ 17.84 is 3.57 ; the fourth quarter of low $ 4.11 is 0.95 ;"]]}, "answers": ["-0.54"]}, "rejected_source": {"id": "AES/2003/page_48.pdf-2", "qa": {"question": "what was the difference in the low price for the first quarter of 2003 and the high price for the fourth quarter of 2003?", "answer": "6.78", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "9.50", "arg2": "2.72", "res": "6.78"}], "program": "subtract(9.50, 2.72)", "gold_inds": {"table_3": "2003 first quarter the fourth quarter of high $ 4.04 is 9.50 ; the fourth quarter of low $ 2.72 is 7.57 ; the fourth quarter of 2002 first quarter is fourth quarter ; the fourth quarter of high $ 17.84 is 3.57 ; the fourth quarter of low $ 4.11 is 0.95 ;"}, "exe_ans": 6.78, "tfidftopn": {"table_2": "2003 first quarter The third quarter of high $ 4.04 is 7.70 ; The third quarter of low $ 2.72 is 5.91 ; The third quarter of 2002 first quarter is third quarter ; The third quarter of high $ 17.84 is 4.61 ; The third quarter of low $ 4.11 is 1.56 ;", "text_4": "price range of common stock ."}, "program_re": "subtract(9.50, 2.72)", "model_input": [["table_0", "2003 first quarter the 2003 first quarter of high $ 4.04 is high $ 4.04 ; the 2003 first quarter of low $ 2.72 is low $ 2.72 ; the 2003 first quarter of 2002 first quarter is 2002 first quarter ; the 2003 first quarter of high $ 17.84 is high $ 17.84 ; the 2003 first quarter of low $ 4.11 is low $ 4.11 ;"], ["table_1", "2003 first quarter the second quarter of high $ 4.04 is 8.37 ; the second quarter of low $ 2.72 is 3.75 ; the second quarter of 2002 first quarter is second quarter ; the second quarter of high $ 17.84 is 9.17 ; the second quarter of low $ 4.11 is 3.55 ;"], ["table_3", "2003 first quarter the fourth quarter of high $ 4.04 is 9.50 ; the fourth quarter of low $ 2.72 is 7.57 ; the fourth quarter of 2002 first quarter is fourth quarter ; the fourth quarter of high $ 17.84 is 3.57 ; the fourth quarter of low $ 4.11 is 0.95 ;"]]}, "answers": ["6.78"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000996", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in the low price for the first quarter of 2003 and the high price for the fourth quarter of 2003?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "6.78.", "rejected": "-0.54.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the difference in the low price for the first quarter of <TIME> and the high price for the fourth quarter of <TIME>?", "doc_prefix": "AES", "base_question": "what was the difference in the low price for the first quarter of <TIME> and the high price for the fourth quarter of <TIME>?", "original_question": "what was the difference in the low price for the first quarter of 2003 and the high price for the fourth quarter of 2003?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-0.54": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.78": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}]}, "chosen_source": {"id": "AES/2003/page_48.pdf-2", "qa": {"question": "what was the difference in the low price for the first quarter of 2003 and the high price for the fourth quarter of 2003?", "answer": "6.78", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "9.50", "arg2": "2.72", "res": "6.78"}], "program": "subtract(9.50, 2.72)", "gold_inds": {"table_3": "2003 first quarter the fourth quarter of high $ 4.04 is 9.50 ; the fourth quarter of low $ 2.72 is 7.57 ; the fourth quarter of 2002 first quarter is fourth quarter ; the fourth quarter of high $ 17.84 is 3.57 ; the fourth quarter of low $ 4.11 is 0.95 ;"}, "exe_ans": 6.78, "tfidftopn": {"table_2": "2003 first quarter The third quarter of high $ 4.04 is 7.70 ; The third quarter of low $ 2.72 is 5.91 ; The third quarter of 2002 first quarter is third quarter ; The third quarter of high $ 17.84 is 4.61 ; The third quarter of low $ 4.11 is 1.56 ;", "text_4": "price range of common stock ."}, "program_re": "subtract(9.50, 2.72)", "model_input": [["table_0", "2003 first quarter the 2003 first quarter of high $ 4.04 is high $ 4.04 ; the 2003 first quarter of low $ 2.72 is low $ 2.72 ; the 2003 first quarter of 2002 first quarter is 2002 first quarter ; the 2003 first quarter of high $ 17.84 is high $ 17.84 ; the 2003 first quarter of low $ 4.11 is low $ 4.11 ;"], ["table_1", "2003 first quarter the second quarter of high $ 4.04 is 8.37 ; the second quarter of low $ 2.72 is 3.75 ; the second quarter of 2002 first quarter is second quarter ; the second quarter of high $ 17.84 is 9.17 ; the second quarter of low $ 4.11 is 3.55 ;"], ["table_3", "2003 first quarter the fourth quarter of high $ 4.04 is 9.50 ; the fourth quarter of low $ 2.72 is 7.57 ; the fourth quarter of 2002 first quarter is fourth quarter ; the fourth quarter of high $ 17.84 is 3.57 ; the fourth quarter of low $ 4.11 is 0.95 ;"]]}, "answers": ["6.78"]}, "rejected_source": {"id": "AES/2003/page_48.pdf-3", "qa": {"question": "what was the difference in the low price for the first quarter of 2003 and the high price for the fourth quarter of 2002?", "answer": "-0.54", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3.57", "arg2": "4.11", "res": "-0.54"}], "program": "subtract(3.57, 4.11)", "gold_inds": {"table_3": "2003 first quarter the fourth quarter of high $ 4.04 is 9.50 ; the fourth quarter of low $ 2.72 is 7.57 ; the fourth quarter of 2002 first quarter is fourth quarter ; the fourth quarter of high $ 17.84 is 3.57 ; the fourth quarter of low $ 4.11 is 0.95 ;"}, "exe_ans": -0.54, "tfidftopn": {"table_2": "2003 first quarter The third quarter of high $ 4.04 is 7.70 ; The third quarter of low $ 2.72 is 5.91 ; The third quarter of 2002 first quarter is third quarter ; The third quarter of high $ 17.84 is 4.61 ; The third quarter of low $ 4.11 is 1.56 ;", "text_4": "price range of common stock ."}, "program_re": "subtract(3.57, 4.11)", "model_input": [["table_0", "2003 first quarter the 2003 first quarter of high $ 4.04 is high $ 4.04 ; the 2003 first quarter of low $ 2.72 is low $ 2.72 ; the 2003 first quarter of 2002 first quarter is 2002 first quarter ; the 2003 first quarter of high $ 17.84 is high $ 17.84 ; the 2003 first quarter of low $ 4.11 is low $ 4.11 ;"], ["table_1", "2003 first quarter the second quarter of high $ 4.04 is 8.37 ; the second quarter of low $ 2.72 is 3.75 ; the second quarter of 2002 first quarter is second quarter ; the second quarter of high $ 17.84 is 9.17 ; the second quarter of low $ 4.11 is 3.55 ;"], ["table_3", "2003 first quarter the fourth quarter of high $ 4.04 is 9.50 ; the fourth quarter of low $ 2.72 is 7.57 ; the fourth quarter of 2002 first quarter is fourth quarter ; the fourth quarter of high $ 17.84 is 3.57 ; the fourth quarter of low $ 4.11 is 0.95 ;"]]}, "answers": ["-0.54"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000997", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of reinsurance receivables and premium receivables in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-2106.", "rejected": "-408.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the net change in the balance of reinsurance receivables and premium receivables in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-408": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-2106": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-6619": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2013/page_109.pdf-4", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables in 2013?", "answer": "-2106", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29905", "arg2": "32011", "res": "-2106"}], "program": "subtract(29905, 32011)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"}, "exe_ans": -2106.0, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."}, "program_re": "subtract(29905, 32011)", "model_input": [["text_0", "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"]]}, "answers": ["-2106"]}, "rejected_source": {"id": "RE/2014/page_106.pdf-3", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "answer": "-408", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29497", "arg2": "29905", "res": "-408"}], "program": "subtract(29497, 29905)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"}, "exe_ans": -408.0, "tfidftopn": {"text_26": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_2": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "subtract(29497, 29905)", "model_input": [["text_26", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_27", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"]]}, "answers": ["-408"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000998", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of reinsurance receivables and premium receivables in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-2106.", "rejected": "-6619.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the net change in the balance of reinsurance receivables and premium receivables in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-408": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-2106": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-6619": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2013/page_109.pdf-4", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables in 2013?", "answer": "-2106", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29905", "arg2": "32011", "res": "-2106"}], "program": "subtract(29905, 32011)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"}, "exe_ans": -2106.0, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."}, "program_re": "subtract(29905, 32011)", "model_input": [["text_0", "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"]]}, "answers": ["-2106"]}, "rejected_source": {"id": "RE/2015/page_110.pdf-2", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "answer": "-6619", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "22878", "arg2": "29497", "res": "-6619"}], "program": "subtract(22878, 29497)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"}, "exe_ans": -6619.0, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_3": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "subtract(22878, 29497)", "model_input": [["text_27", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"]]}, "answers": ["-6619"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00000999", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-408.", "rejected": "-2106.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-408": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-2106": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-6619": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2014/page_106.pdf-3", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "answer": "-408", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29497", "arg2": "29905", "res": "-408"}], "program": "subtract(29497, 29905)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"}, "exe_ans": -408.0, "tfidftopn": {"text_26": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_2": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "subtract(29497, 29905)", "model_input": [["text_26", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_27", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"]]}, "answers": ["-408"]}, "rejected_source": {"id": "RE/2013/page_109.pdf-4", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables in 2013?", "answer": "-2106", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29905", "arg2": "32011", "res": "-2106"}], "program": "subtract(29905, 32011)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"}, "exe_ans": -2106.0, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."}, "program_re": "subtract(29905, 32011)", "model_input": [["text_0", "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"]]}, "answers": ["-2106"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001000", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-408.", "rejected": "-6619.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-408": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-2106": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-6619": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2014/page_106.pdf-3", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "answer": "-408", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29497", "arg2": "29905", "res": "-408"}], "program": "subtract(29497, 29905)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"}, "exe_ans": -408.0, "tfidftopn": {"text_26": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_2": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "subtract(29497, 29905)", "model_input": [["text_26", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_27", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"]]}, "answers": ["-408"]}, "rejected_source": {"id": "RE/2015/page_110.pdf-2", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "answer": "-6619", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "22878", "arg2": "29497", "res": "-6619"}], "program": "subtract(22878, 29497)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"}, "exe_ans": -6619.0, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_3": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "subtract(22878, 29497)", "model_input": [["text_27", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"]]}, "answers": ["-6619"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001001", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-6619.", "rejected": "-2106.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-408": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-2106": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-6619": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2015/page_110.pdf-2", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "answer": "-6619", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "22878", "arg2": "29497", "res": "-6619"}], "program": "subtract(22878, 29497)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"}, "exe_ans": -6619.0, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_3": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "subtract(22878, 29497)", "model_input": [["text_27", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"]]}, "answers": ["-6619"]}, "rejected_source": {"id": "RE/2013/page_109.pdf-4", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables in 2013?", "answer": "-2106", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29905", "arg2": "32011", "res": "-2106"}], "program": "subtract(29905, 32011)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"}, "exe_ans": -2106.0, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."}, "program_re": "subtract(29905, 32011)", "model_input": [["text_0", "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"]]}, "answers": ["-2106"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001002", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-6619.", "rejected": "-408.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the net change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-408": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-2106": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-6619": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2015/page_110.pdf-2", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "answer": "-6619", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "22878", "arg2": "29497", "res": "-6619"}], "program": "subtract(22878, 29497)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"}, "exe_ans": -6619.0, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_3": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "subtract(22878, 29497)", "model_input": [["text_27", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"]]}, "answers": ["-6619"]}, "rejected_source": {"id": "RE/2014/page_106.pdf-3", "qa": {"question": "what is the net change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "answer": "-408", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29497", "arg2": "29905", "res": "-408"}], "program": "subtract(29497, 29905)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"}, "exe_ans": -408.0, "tfidftopn": {"text_26": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_2": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "subtract(29497, 29905)", "model_input": [["text_26", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_27", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"]]}, "answers": ["-408"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001003", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "56.80%.", "rejected": "86.20%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , <TIME>?", "doc_prefix": "PM", "base_question": "what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"86.20%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "56.80%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "PM/2017/page_25.pdf-4", "qa": {"question": "what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , 2017?", "answer": "56.80%", "explanation": "", "ann_table_rows": [1, 2, 3, 4, 5, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "156.80", "arg2": "const_100", "res": "56.80"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "56.80%"}], "program": "subtract(156.80, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;", "table_2": "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;", "table_3": "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;", "table_4": "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;", "table_5": "date the december 31 2016 of pmi is $ 130.80 ; the december 31 2016 of pmi peer group ( 1 ) is $ 145.60 ; the december 31 2016 of s&p 500 index is $ 170.80 ;", "table_6": "date the december 31 2017 of pmi is $ 156.80 ; the december 31 2017 of pmi peer group ( 1 ) is $ 172.70 ; the december 31 2017 of s&p 500 index is $ 208.10 ;"}, "exe_ans": 0.568, "tfidftopn": {}, "program_re": "divide(subtract(156.80, const_100), const_100)", "model_input": [["table_1", "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;"], ["table_2", "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;"], ["table_3", "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;"], ["table_4", "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;"], ["table_5", "date the december 31 2016 of pmi is $ 130.80 ; the december 31 2016 of pmi peer group ( 1 ) is $ 145.60 ; the december 31 2016 of s&p 500 index is $ 170.80 ;"], ["table_6", "date the december 31 2017 of pmi is $ 156.80 ; the december 31 2017 of pmi peer group ( 1 ) is $ 172.70 ; the december 31 2017 of s&p 500 index is $ 208.10 ;"]]}, "answers": ["56.80%"]}, "rejected_source": {"id": "PM/2015/page_32.pdf-1", "qa": {"question": "what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , 2015?", "answer": "86.20%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "186.20", "arg2": "const_100", "res": "86.20"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "86.20%"}], "program": "subtract(186.20, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "date the december 31 2010 of pmi is $ 100.00 ; the december 31 2010 of pmi compensation survey group ( 12 ) is $ 100.00 ; the december 31 2010 of s&p 500 index is $ 100.00 ;", "table_6": "date the december 31 2015 of pmi is $ 186.20 ; the december 31 2015 of pmi compensation survey group ( 12 ) is $ 179.20 ; the december 31 2015 of s&p 500 index is $ 180.80 ;"}, "exe_ans": 0.862, "tfidftopn": {"text_0": "performance graph the graph below compares the cumulative total shareholder return on pmi's common stock with the cumulative total return for the same period of pmi's compensation survey group and the s&p 500 index ."}, "program_re": "divide(subtract(186.20, const_100), const_100)", "model_input": [["table_1", "date the december 31 2010 of pmi is $ 100.00 ; the december 31 2010 of pmi compensation survey group ( 12 ) is $ 100.00 ; the december 31 2010 of s&p 500 index is $ 100.00 ;"], ["table_3", "date the december 31 2012 of pmi is $ 154.60 ; the december 31 2012 of pmi compensation survey group ( 12 ) is $ 128.00 ; the december 31 2012 of s&p 500 index is $ 118.50 ;"], ["table_6", "date the december 31 2015 of pmi is $ 186.20 ; the december 31 2015 of pmi compensation survey group ( 12 ) is $ 179.20 ; the december 31 2015 of s&p 500 index is $ 180.80 ;"]]}, "answers": ["86.20%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001004", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "86.20%.", "rejected": "56.80%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , <TIME>?", "doc_prefix": "PM", "base_question": "what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"86.20%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "56.80%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "PM/2015/page_32.pdf-1", "qa": {"question": "what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , 2015?", "answer": "86.20%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "186.20", "arg2": "const_100", "res": "86.20"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "86.20%"}], "program": "subtract(186.20, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "date the december 31 2010 of pmi is $ 100.00 ; the december 31 2010 of pmi compensation survey group ( 12 ) is $ 100.00 ; the december 31 2010 of s&p 500 index is $ 100.00 ;", "table_6": "date the december 31 2015 of pmi is $ 186.20 ; the december 31 2015 of pmi compensation survey group ( 12 ) is $ 179.20 ; the december 31 2015 of s&p 500 index is $ 180.80 ;"}, "exe_ans": 0.862, "tfidftopn": {"text_0": "performance graph the graph below compares the cumulative total shareholder return on pmi's common stock with the cumulative total return for the same period of pmi's compensation survey group and the s&p 500 index ."}, "program_re": "divide(subtract(186.20, const_100), const_100)", "model_input": [["table_1", "date the december 31 2010 of pmi is $ 100.00 ; the december 31 2010 of pmi compensation survey group ( 12 ) is $ 100.00 ; the december 31 2010 of s&p 500 index is $ 100.00 ;"], ["table_3", "date the december 31 2012 of pmi is $ 154.60 ; the december 31 2012 of pmi compensation survey group ( 12 ) is $ 128.00 ; the december 31 2012 of s&p 500 index is $ 118.50 ;"], ["table_6", "date the december 31 2015 of pmi is $ 186.20 ; the december 31 2015 of pmi compensation survey group ( 12 ) is $ 179.20 ; the december 31 2015 of s&p 500 index is $ 180.80 ;"]]}, "answers": ["86.20%"]}, "rejected_source": {"id": "PM/2017/page_25.pdf-4", "qa": {"question": "what was the percentage cumulative total shareholder return on pmi's common stock for the five years ended december 31 , 2017?", "answer": "56.80%", "explanation": "", "ann_table_rows": [1, 2, 3, 4, 5, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "156.80", "arg2": "const_100", "res": "56.80"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "56.80%"}], "program": "subtract(156.80, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;", "table_2": "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;", "table_3": "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;", "table_4": "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;", "table_5": "date the december 31 2016 of pmi is $ 130.80 ; the december 31 2016 of pmi peer group ( 1 ) is $ 145.60 ; the december 31 2016 of s&p 500 index is $ 170.80 ;", "table_6": "date the december 31 2017 of pmi is $ 156.80 ; the december 31 2017 of pmi peer group ( 1 ) is $ 172.70 ; the december 31 2017 of s&p 500 index is $ 208.10 ;"}, "exe_ans": 0.568, "tfidftopn": {}, "program_re": "divide(subtract(156.80, const_100), const_100)", "model_input": [["table_1", "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;"], ["table_2", "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;"], ["table_3", "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;"], ["table_4", "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;"], ["table_5", "date the december 31 2016 of pmi is $ 130.80 ; the december 31 2016 of pmi peer group ( 1 ) is $ 145.60 ; the december 31 2016 of s&p 500 index is $ 170.80 ;"], ["table_6", "date the december 31 2017 of pmi is $ 156.80 ; the december 31 2017 of pmi peer group ( 1 ) is $ 172.70 ; the december 31 2017 of s&p 500 index is $ 208.10 ;"]]}, "answers": ["56.80%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001005", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2005 what percentage of specialty businesses sales are from arizona chemical sales?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "76%.", "rejected": "82%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of specialty businesses sales are from arizona chemical sales?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of specialty businesses sales are from arizona chemical sales?", "original_question": "in 2005 what percentage of specialty businesses sales are from arizona chemical sales?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"76%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "82%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "IP/2006/page_34.pdf-2", "qa": {"question": "in 2005 what percentage of specialty businesses sales are from arizona chemical sales?", "answer": "76%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [7], "steps": [{"op": "divide2-1", "arg1": "692", "arg2": "915", "res": "76%"}], "program": "divide(692, 915)", "gold_inds": {"table_1": "in millions the sales of 2006 is $ 935 ; the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ;", "text_7": "arizona chemical sales were $ 769 million in 2006 , compared with $ 692 million in 2005 and $ 672 million in 2004 ."}, "exe_ans": 0.75628, "tfidftopn": {"text_6": "specialty businesses and other in millions 2006 2005 2004 ."}, "program_re": "divide(692, 915)", "model_input": [["text_2", "specialty businesses and other the specialty businesses and other segment includes the results of the arizona chemical business and certain divested businesses whose results are included in this segment for periods prior to their sale or closure ."], ["table_1", "in millions the sales of 2006 is $ 935 ; the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ;"], ["text_7", "arizona chemical sales were $ 769 million in 2006 , compared with $ 692 million in 2005 and $ 672 million in 2004 ."]]}, "answers": ["76%"]}, "rejected_source": {"id": "IP/2006/page_34.pdf-1", "qa": {"question": "in 2006 what percentage of specialty businesses sales are from arizona chemical sales?", "answer": "82%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [7], "steps": [{"op": "divide1-1", "arg1": "769", "arg2": "935", "res": "82%"}], "program": "divide(769, 935)", "gold_inds": {"table_1": "in millions the sales of 2006 is $ 935 ; the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ;", "text_7": "arizona chemical sales were $ 769 million in 2006 , compared with $ 692 million in 2005 and $ 672 million in 2004 ."}, "exe_ans": 0.82246, "tfidftopn": {"text_2": "specialty businesses and other the specialty businesses and other segment includes the results of the arizona chemical business and certain divested businesses whose results are included in this segment for periods prior to their sale or closure ."}, "program_re": "divide(769, 935)", "model_input": [["text_2", "specialty businesses and other the specialty businesses and other segment includes the results of the arizona chemical business and certain divested businesses whose results are included in this segment for periods prior to their sale or closure ."], ["table_1", "in millions the sales of 2006 is $ 935 ; the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ;"], ["text_7", "arizona chemical sales were $ 769 million in 2006 , compared with $ 692 million in 2005 and $ 672 million in 2004 ."]]}, "answers": ["82%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001006", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2006 what percentage of specialty businesses sales are from arizona chemical sales?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "82%.", "rejected": "76%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of specialty businesses sales are from arizona chemical sales?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of specialty businesses sales are from arizona chemical sales?", "original_question": "in 2006 what percentage of specialty businesses sales are from arizona chemical sales?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"76%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "82%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "IP/2006/page_34.pdf-1", "qa": {"question": "in 2006 what percentage of specialty businesses sales are from arizona chemical sales?", "answer": "82%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [7], "steps": [{"op": "divide1-1", "arg1": "769", "arg2": "935", "res": "82%"}], "program": "divide(769, 935)", "gold_inds": {"table_1": "in millions the sales of 2006 is $ 935 ; the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ;", "text_7": "arizona chemical sales were $ 769 million in 2006 , compared with $ 692 million in 2005 and $ 672 million in 2004 ."}, "exe_ans": 0.82246, "tfidftopn": {"text_2": "specialty businesses and other the specialty businesses and other segment includes the results of the arizona chemical business and certain divested businesses whose results are included in this segment for periods prior to their sale or closure ."}, "program_re": "divide(769, 935)", "model_input": [["text_2", "specialty businesses and other the specialty businesses and other segment includes the results of the arizona chemical business and certain divested businesses whose results are included in this segment for periods prior to their sale or closure ."], ["table_1", "in millions the sales of 2006 is $ 935 ; the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ;"], ["text_7", "arizona chemical sales were $ 769 million in 2006 , compared with $ 692 million in 2005 and $ 672 million in 2004 ."]]}, "answers": ["82%"]}, "rejected_source": {"id": "IP/2006/page_34.pdf-2", "qa": {"question": "in 2005 what percentage of specialty businesses sales are from arizona chemical sales?", "answer": "76%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [7], "steps": [{"op": "divide2-1", "arg1": "692", "arg2": "915", "res": "76%"}], "program": "divide(692, 915)", "gold_inds": {"table_1": "in millions the sales of 2006 is $ 935 ; the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ;", "text_7": "arizona chemical sales were $ 769 million in 2006 , compared with $ 692 million in 2005 and $ 672 million in 2004 ."}, "exe_ans": 0.75628, "tfidftopn": {"text_6": "specialty businesses and other in millions 2006 2005 2004 ."}, "program_re": "divide(692, 915)", "model_input": [["text_2", "specialty businesses and other the specialty businesses and other segment includes the results of the arizona chemical business and certain divested businesses whose results are included in this segment for periods prior to their sale or closure ."], ["table_1", "in millions the sales of 2006 is $ 935 ; the sales of 2005 is $ 915 ; the sales of 2004 is $ 1120 ;"], ["text_7", "arizona chemical sales were $ 769 million in 2006 , compared with $ 692 million in 2005 and $ 672 million in 2004 ."]]}, "answers": ["76%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001007", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total rent expense from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "12%.", "rejected": "19%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the percentage change in total rent expense <TIME>?", "doc_prefix": "ZBH", "base_question": "what was the percentage change in total rent expense <TIME>?", "original_question": "what was the percentage change in total rent expense from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"19%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "12%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "ZBH/2008/page_86.pdf-4", "qa": {"question": "what was the percentage change in total rent expense from 2007 to 2008?", "answer": "12%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus2-1", "arg1": "41.4", "arg2": "37.1", "res": "4.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "37.1", "res": "12%"}], "program": "subtract(41.4, 37.1), divide(#0, 37.1)", "gold_inds": {"text_3": "total rent expense for the years ended december 31 , 2008 , 2007 and 2006 aggregated $ 41.4 million , $ 37.1 million and $ 31.1 million , respectively ."}, "exe_ans": 0.1159, "tfidftopn": {"table_5": "The total of 2008 is $ 275.1 ; The total of 2007 is $ 230.0 ; The total of 2006 is $ 197.4 ;", "text_0": "depreciation and amortization included in operating segment profit for the years ended december 31 , 2008 , 2007 and 2006 was as follows ( in millions ) : ."}, "program_re": "divide(subtract(41.4, 37.1), 37.1)", "model_input": [["text_0", "depreciation and amortization included in operating segment profit for the years ended december 31 , 2008 , 2007 and 2006 was as follows ( in millions ) : ."], ["table_5", "the total of 2008 is $ 275.1 ; the total of 2007 is $ 230.0 ; the total of 2006 is $ 197.4 ;"], ["text_3", "total rent expense for the years ended december 31 , 2008 , 2007 and 2006 aggregated $ 41.4 million , $ 37.1 million and $ 31.1 million , respectively ."]]}, "answers": ["12%"]}, "rejected_source": {"id": "ZBH/2008/page_86.pdf-1", "qa": {"question": "what was the percentage change in total rent expense from 2006 to 2007?", "answer": "19%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus1-1", "arg1": "37.1", "arg2": "31.1", "res": "6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "31.1", "res": "19%"}], "program": "subtract(37.1, 31.1), divide(#0, 31.1)", "gold_inds": {"text_3": "total rent expense for the years ended december 31 , 2008 , 2007 and 2006 aggregated $ 41.4 million , $ 37.1 million and $ 31.1 million , respectively ."}, "exe_ans": 0.19293, "tfidftopn": {"table_5": "The total of 2008 is $ 275.1 ; The total of 2007 is $ 230.0 ; The total of 2006 is $ 197.4 ;", "text_0": "depreciation and amortization included in operating segment profit for the years ended december 31 , 2008 , 2007 and 2006 was as follows ( in millions ) : ."}, "program_re": "divide(subtract(37.1, 31.1), 31.1)", "model_input": [["text_0", "depreciation and amortization included in operating segment profit for the years ended december 31 , 2008 , 2007 and 2006 was as follows ( in millions ) : ."], ["table_5", "the total of 2008 is $ 275.1 ; the total of 2007 is $ 230.0 ; the total of 2006 is $ 197.4 ;"], ["text_3", "total rent expense for the years ended december 31 , 2008 , 2007 and 2006 aggregated $ 41.4 million , $ 37.1 million and $ 31.1 million , respectively ."]]}, "answers": ["19%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001008", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total rent expense from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "19%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the percentage change in total rent expense <TIME>?", "doc_prefix": "ZBH", "base_question": "what was the percentage change in total rent expense <TIME>?", "original_question": "what was the percentage change in total rent expense from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"19%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "12%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "ZBH/2008/page_86.pdf-1", "qa": {"question": "what was the percentage change in total rent expense from 2006 to 2007?", "answer": "19%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus1-1", "arg1": "37.1", "arg2": "31.1", "res": "6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "31.1", "res": "19%"}], "program": "subtract(37.1, 31.1), divide(#0, 31.1)", "gold_inds": {"text_3": "total rent expense for the years ended december 31 , 2008 , 2007 and 2006 aggregated $ 41.4 million , $ 37.1 million and $ 31.1 million , respectively ."}, "exe_ans": 0.19293, "tfidftopn": {"table_5": "The total of 2008 is $ 275.1 ; The total of 2007 is $ 230.0 ; The total of 2006 is $ 197.4 ;", "text_0": "depreciation and amortization included in operating segment profit for the years ended december 31 , 2008 , 2007 and 2006 was as follows ( in millions ) : ."}, "program_re": "divide(subtract(37.1, 31.1), 31.1)", "model_input": [["text_0", "depreciation and amortization included in operating segment profit for the years ended december 31 , 2008 , 2007 and 2006 was as follows ( in millions ) : ."], ["table_5", "the total of 2008 is $ 275.1 ; the total of 2007 is $ 230.0 ; the total of 2006 is $ 197.4 ;"], ["text_3", "total rent expense for the years ended december 31 , 2008 , 2007 and 2006 aggregated $ 41.4 million , $ 37.1 million and $ 31.1 million , respectively ."]]}, "answers": ["19%"]}, "rejected_source": {"id": "ZBH/2008/page_86.pdf-4", "qa": {"question": "what was the percentage change in total rent expense from 2007 to 2008?", "answer": "12%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus2-1", "arg1": "41.4", "arg2": "37.1", "res": "4.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "37.1", "res": "12%"}], "program": "subtract(41.4, 37.1), divide(#0, 37.1)", "gold_inds": {"text_3": "total rent expense for the years ended december 31 , 2008 , 2007 and 2006 aggregated $ 41.4 million , $ 37.1 million and $ 31.1 million , respectively ."}, "exe_ans": 0.1159, "tfidftopn": {"table_5": "The total of 2008 is $ 275.1 ; The total of 2007 is $ 230.0 ; The total of 2006 is $ 197.4 ;", "text_0": "depreciation and amortization included in operating segment profit for the years ended december 31 , 2008 , 2007 and 2006 was as follows ( in millions ) : ."}, "program_re": "divide(subtract(41.4, 37.1), 37.1)", "model_input": [["text_0", "depreciation and amortization included in operating segment profit for the years ended december 31 , 2008 , 2007 and 2006 was as follows ( in millions ) : ."], ["table_5", "the total of 2008 is $ 275.1 ; the total of 2007 is $ 230.0 ; the total of 2006 is $ 197.4 ;"], ["text_3", "total rent expense for the years ended december 31 , 2008 , 2007 and 2006 aggregated $ 41.4 million , $ 37.1 million and $ 31.1 million , respectively ."]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001009", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans for 2009 to 2008\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "1.15.", "rejected": "1.31.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MA || what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans <TIME> to <TIME>", "doc_prefix": "MA", "base_question": "what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans <TIME> to <TIME>", "original_question": "what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans for 2009 to 2008", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.31": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "1.15": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "MA/2009/page_112.pdf-4", "qa": {"question": "what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans for 2009 to 2008", "answer": "1.15", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "divide1-1", "arg1": "40627", "arg2": "35341", "res": "1.15"}], "program": "divide(40627, 35341)", "gold_inds": {"text_9": "the company 2019s contribution expense related to all of its defined contribution plans was $ 40627 , $ 35341 and $ 26996 for 2009 , 2008 and 2007 , respectively ."}, "exe_ans": 1.14957, "tfidftopn": {"text_8": "in addition , the company has several defined contribution plans outside of the united states .", "text_7": "beginning in 2008 , the discretionary profit sharing amount related to prior year company performance was paid directly to employees as a short-term cash incentive bonus rather than as a contribution to the savings plan ."}, "program_re": "divide(40627, 35341)", "model_input": [["table_5", "2010 the 2015-2019 of $ 18181 is 128494 ;"], ["text_9", "the company 2019s contribution expense related to all of its defined contribution plans was $ 40627 , $ 35341 and $ 26996 for 2009 , 2008 and 2007 , respectively ."], ["text_15", "in 2009 , the company recorded a $ 3944 benefit expense as a result of enhanced postretirement medical benefits under the postretirement plan provided to employees that chose to participate in a voluntary transition program. ."]]}, "answers": ["1.15"]}, "rejected_source": {"id": "MA/2008/page_113.pdf-2", "qa": {"question": "what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans for 2008 to 2007", "answer": "1.31", "explanation": "the ratio of the company 2019s contribution expense related to all of its defined contribution plans for 2008 to 2007 was 1.31 to 1", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "divide2-1", "arg1": "35341", "arg2": "26996", "res": "1.31"}], "program": "divide(35341, 26996)", "gold_inds": {"text_9": "the company 2019s contribution expense related to all of its defined contribution plans was $ 35341 , $ 26996 and $ 43594 for 2008 , 2007 and 2006 , respectively ."}, "exe_ans": 1.30912, "tfidftopn": {"text_8": "in addition , the company has several defined contribution plans outside of the united states .", "text_7": "beginning in 2008 , the discretionary profit sharing amount related to 2007 company performance was paid directly to employees as a short-term cash incentive bonus rather than as a contribution to the savings plan ."}, "program_re": "divide(35341, 26996)", "model_input": [["text_9", "the company 2019s contribution expense related to all of its defined contribution plans was $ 35341 , $ 26996 and $ 43594 for 2008 , 2007 and 2006 , respectively ."], ["text_14", "the company 2019s liability related to the vap at december 31 , 2007 was $ 986 ."], ["text_15", "the expense ( benefit ) was $ ( 6 ) , $ ( 267 ) and $ 3406 for the years ended december 31 , 2008 , 2007 and 2006 , respectively ."]]}, "answers": ["1.31"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001010", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans for 2008 to 2007\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "1.31.", "rejected": "1.15.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MA || what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans <TIME> to <TIME>", "doc_prefix": "MA", "base_question": "what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans <TIME> to <TIME>", "original_question": "what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans for 2008 to 2007", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.31": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "1.15": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "MA/2008/page_113.pdf-2", "qa": {"question": "what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans for 2008 to 2007", "answer": "1.31", "explanation": "the ratio of the company 2019s contribution expense related to all of its defined contribution plans for 2008 to 2007 was 1.31 to 1", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "divide2-1", "arg1": "35341", "arg2": "26996", "res": "1.31"}], "program": "divide(35341, 26996)", "gold_inds": {"text_9": "the company 2019s contribution expense related to all of its defined contribution plans was $ 35341 , $ 26996 and $ 43594 for 2008 , 2007 and 2006 , respectively ."}, "exe_ans": 1.30912, "tfidftopn": {"text_8": "in addition , the company has several defined contribution plans outside of the united states .", "text_7": "beginning in 2008 , the discretionary profit sharing amount related to 2007 company performance was paid directly to employees as a short-term cash incentive bonus rather than as a contribution to the savings plan ."}, "program_re": "divide(35341, 26996)", "model_input": [["text_9", "the company 2019s contribution expense related to all of its defined contribution plans was $ 35341 , $ 26996 and $ 43594 for 2008 , 2007 and 2006 , respectively ."], ["text_14", "the company 2019s liability related to the vap at december 31 , 2007 was $ 986 ."], ["text_15", "the expense ( benefit ) was $ ( 6 ) , $ ( 267 ) and $ 3406 for the years ended december 31 , 2008 , 2007 and 2006 , respectively ."]]}, "answers": ["1.31"]}, "rejected_source": {"id": "MA/2009/page_112.pdf-4", "qa": {"question": "what was the ratio of the company 2019s contribution expense related to all of its defined contribution plans for 2009 to 2008", "answer": "1.15", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "divide1-1", "arg1": "40627", "arg2": "35341", "res": "1.15"}], "program": "divide(40627, 35341)", "gold_inds": {"text_9": "the company 2019s contribution expense related to all of its defined contribution plans was $ 40627 , $ 35341 and $ 26996 for 2009 , 2008 and 2007 , respectively ."}, "exe_ans": 1.14957, "tfidftopn": {"text_8": "in addition , the company has several defined contribution plans outside of the united states .", "text_7": "beginning in 2008 , the discretionary profit sharing amount related to prior year company performance was paid directly to employees as a short-term cash incentive bonus rather than as a contribution to the savings plan ."}, "program_re": "divide(40627, 35341)", "model_input": [["table_5", "2010 the 2015-2019 of $ 18181 is 128494 ;"], ["text_9", "the company 2019s contribution expense related to all of its defined contribution plans was $ 40627 , $ 35341 and $ 26996 for 2009 , 2008 and 2007 , respectively ."], ["text_15", "in 2009 , the company recorded a $ 3944 benefit expense as a result of enhanced postretirement medical benefits under the postretirement plan provided to employees that chose to participate in a voluntary transition program. ."]]}, "answers": ["1.15"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001011", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the number of unvested restricted stock in 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "432303.", "rejected": "61523.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CB || what is the net change in the number of unvested restricted stock <TIME>?", "doc_prefix": "CB", "base_question": "what is the net change in the number of unvested restricted stock <TIME>?", "original_question": "what is the net change in the number of unvested restricted stock in 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"61523": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "432303": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "CB/2010/page_186.pdf-1", "qa": {"question": "what is the net change in the number of unvested restricted stock in 2010?", "answer": "432303", "explanation": "", "ann_table_rows": [9, 13], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5305732", "arg2": "4873429", "res": "432303"}], "program": "subtract(5305732, 4873429)", "gold_inds": {"table_9": "the unvested restricted stock december 31 2009 of number of restricted stock is 4873429 ; the unvested restricted stock december 31 2009 of weighted-average grant-date fair value is $ 48.25 ;", "table_13": "the unvested restricted stock december 31 2010 of number of restricted stock is 5305732 ; the unvested restricted stock december 31 2010 of weighted-average grant-date fair value is $ 48.74 ;"}, "exe_ans": 432303.0, "tfidftopn": {"text_16": "at december 31 , 2010 , the number of unvested restricted stock units was 636758 ."}, "program_re": "subtract(5305732, 4873429)", "model_input": [["table_9", "the unvested restricted stock december 31 2009 of number of restricted stock is 4873429 ; the unvested restricted stock december 31 2009 of weighted-average grant-date fair value is $ 48.25 ;"], ["table_13", "the unvested restricted stock december 31 2010 of number of restricted stock is 5305732 ; the unvested restricted stock december 31 2010 of weighted-average grant-date fair value is $ 48.74 ;"], ["text_16", "at december 31 , 2010 , the number of unvested restricted stock units was 636758 ."]]}, "answers": ["432303"]}, "rejected_source": {"id": "CB/2010/page_186.pdf-2", "qa": {"question": "what is the net change in the number of unvested restricted stock in 2008?", "answer": "61523", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3883230", "arg2": "3821707", "res": "61523"}], "program": "subtract(3883230, 3821707)", "gold_inds": {"table_1": "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted-average grant-date fair value is $ 53.12 ;", "table_5": "the unvested restricted stock december 31 2008 of number of restricted stock is 3883230 ; the unvested restricted stock december 31 2008 of weighted-average grant-date fair value is $ 57.01 ;"}, "exe_ans": 61523.0, "tfidftopn": {"table_13": "The unvested restricted stock december 31 2010 of number of restricted stock is 5305732 ; The unvested restricted stock december 31 2010 of weighted-average grant-date fair value is $ 48.74 ;"}, "program_re": "subtract(3883230, 3821707)", "model_input": [["table_1", "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted-average grant-date fair value is $ 53.12 ;"], ["table_5", "the unvested restricted stock december 31 2008 of number of restricted stock is 3883230 ; the unvested restricted stock december 31 2008 of weighted-average grant-date fair value is $ 57.01 ;"], ["text_16", "at december 31 , 2010 , the number of unvested restricted stock units was 636758 ."]]}, "answers": ["61523"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001012", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the number of unvested restricted stock in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "61523.", "rejected": "432303.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CB || what is the net change in the number of unvested restricted stock <TIME>?", "doc_prefix": "CB", "base_question": "what is the net change in the number of unvested restricted stock <TIME>?", "original_question": "what is the net change in the number of unvested restricted stock in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"61523": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "432303": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "CB/2010/page_186.pdf-2", "qa": {"question": "what is the net change in the number of unvested restricted stock in 2008?", "answer": "61523", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3883230", "arg2": "3821707", "res": "61523"}], "program": "subtract(3883230, 3821707)", "gold_inds": {"table_1": "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted-average grant-date fair value is $ 53.12 ;", "table_5": "the unvested restricted stock december 31 2008 of number of restricted stock is 3883230 ; the unvested restricted stock december 31 2008 of weighted-average grant-date fair value is $ 57.01 ;"}, "exe_ans": 61523.0, "tfidftopn": {"table_13": "The unvested restricted stock december 31 2010 of number of restricted stock is 5305732 ; The unvested restricted stock december 31 2010 of weighted-average grant-date fair value is $ 48.74 ;"}, "program_re": "subtract(3883230, 3821707)", "model_input": [["table_1", "the unvested restricted stock december 31 2007 of number of restricted stock is 3821707 ; the unvested restricted stock december 31 2007 of weighted-average grant-date fair value is $ 53.12 ;"], ["table_5", "the unvested restricted stock december 31 2008 of number of restricted stock is 3883230 ; the unvested restricted stock december 31 2008 of weighted-average grant-date fair value is $ 57.01 ;"], ["text_16", "at december 31 , 2010 , the number of unvested restricted stock units was 636758 ."]]}, "answers": ["61523"]}, "rejected_source": {"id": "CB/2010/page_186.pdf-1", "qa": {"question": "what is the net change in the number of unvested restricted stock in 2010?", "answer": "432303", "explanation": "", "ann_table_rows": [9, 13], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5305732", "arg2": "4873429", "res": "432303"}], "program": "subtract(5305732, 4873429)", "gold_inds": {"table_9": "the unvested restricted stock december 31 2009 of number of restricted stock is 4873429 ; the unvested restricted stock december 31 2009 of weighted-average grant-date fair value is $ 48.25 ;", "table_13": "the unvested restricted stock december 31 2010 of number of restricted stock is 5305732 ; the unvested restricted stock december 31 2010 of weighted-average grant-date fair value is $ 48.74 ;"}, "exe_ans": 432303.0, "tfidftopn": {"text_16": "at december 31 , 2010 , the number of unvested restricted stock units was 636758 ."}, "program_re": "subtract(5305732, 4873429)", "model_input": [["table_9", "the unvested restricted stock december 31 2009 of number of restricted stock is 4873429 ; the unvested restricted stock december 31 2009 of weighted-average grant-date fair value is $ 48.25 ;"], ["table_13", "the unvested restricted stock december 31 2010 of number of restricted stock is 5305732 ; the unvested restricted stock december 31 2010 of weighted-average grant-date fair value is $ 48.74 ;"], ["text_16", "at december 31 , 2010 , the number of unvested restricted stock units was 636758 ."]]}, "answers": ["432303"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001013", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum lease payments under noncancelable operating leases are due after 2019?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "38%.", "rejected": "41%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what percentage of future minimum lease payments under noncancelable operating leases are due after <TIME>?", "doc_prefix": "AAPL", "base_question": "what percentage of future minimum lease payments under noncancelable operating leases are due after <TIME>?", "original_question": "what percentage of future minimum lease payments under noncancelable operating leases are due after 2019?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "41%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "AAPL/2014/page_78.pdf-1", "qa": {"question": "what percentage of future minimum lease payments under noncancelable operating leases are due after 2019?", "answer": "38%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1877", "arg2": "4987", "res": "38%"}], "program": "divide(1877, 4987)", "gold_inds": {"table_5": "2015 the thereafter of $ 662 is 1877 ;", "table_6": "2015 the total of $ 662 is $ 4987 ;"}, "exe_ans": 0.37638, "tfidftopn": {"text_19": "as of september 27 , 2014 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 5.0 billion , of which $ 3.6 billion related to leases for retail space ."}, "program_re": "divide(1877, 4987)", "model_input": [["table_4", "2015 the 2019 of $ 662 is 534 ;"], ["table_5", "2015 the thereafter of $ 662 is 1877 ;"], ["table_6", "2015 the total of $ 662 is $ 4987 ;"]]}, "answers": ["38%"]}, "rejected_source": {"id": "AAPL/2015/page_68.pdf-1", "qa": {"question": "what percentage of future minimum lease payments under noncancelable operating leases are due after 2020?", "answer": "41%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2592", "arg2": "6271", "res": "41%"}], "program": "divide(2592, 6271)", "gold_inds": {"table_5": "2016 the thereafter of $ 772 is 2592 ;", "table_6": "2016 the total of $ 772 is $ 6271 ;"}, "exe_ans": 0.41333, "tfidftopn": {"text_17": "as of september 26 , 2015 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 6.3 billion , of which $ 3.6 billion related to leases for retail space ."}, "program_re": "divide(2592, 6271)", "model_input": [["table_4", "2016 the 2020 of $ 772 is 674 ;"], ["table_5", "2016 the thereafter of $ 772 is 2592 ;"], ["table_6", "2016 the total of $ 772 is $ 6271 ;"]]}, "answers": ["41%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001014", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum lease payments under noncancelable operating leases are due after 2020?\nReference time interval: 2020-01-01 00:00:00 to 2021-01-01 00:00:00", "chosen": "41%.", "rejected": "38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what percentage of future minimum lease payments under noncancelable operating leases are due after <TIME>?", "doc_prefix": "AAPL", "base_question": "what percentage of future minimum lease payments under noncancelable operating leases are due after <TIME>?", "original_question": "what percentage of future minimum lease payments under noncancelable operating leases are due after 2020?", "reference_time": {"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "41%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "AAPL/2015/page_68.pdf-1", "qa": {"question": "what percentage of future minimum lease payments under noncancelable operating leases are due after 2020?", "answer": "41%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2592", "arg2": "6271", "res": "41%"}], "program": "divide(2592, 6271)", "gold_inds": {"table_5": "2016 the thereafter of $ 772 is 2592 ;", "table_6": "2016 the total of $ 772 is $ 6271 ;"}, "exe_ans": 0.41333, "tfidftopn": {"text_17": "as of september 26 , 2015 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 6.3 billion , of which $ 3.6 billion related to leases for retail space ."}, "program_re": "divide(2592, 6271)", "model_input": [["table_4", "2016 the 2020 of $ 772 is 674 ;"], ["table_5", "2016 the thereafter of $ 772 is 2592 ;"], ["table_6", "2016 the total of $ 772 is $ 6271 ;"]]}, "answers": ["41%"]}, "rejected_source": {"id": "AAPL/2014/page_78.pdf-1", "qa": {"question": "what percentage of future minimum lease payments under noncancelable operating leases are due after 2019?", "answer": "38%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1877", "arg2": "4987", "res": "38%"}], "program": "divide(1877, 4987)", "gold_inds": {"table_5": "2015 the thereafter of $ 662 is 1877 ;", "table_6": "2015 the total of $ 662 is $ 4987 ;"}, "exe_ans": 0.37638, "tfidftopn": {"text_19": "as of september 27 , 2014 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 5.0 billion , of which $ 3.6 billion related to leases for retail space ."}, "program_re": "divide(1877, 4987)", "model_input": [["table_4", "2015 the 2019 of $ 662 is 534 ;"], ["table_5", "2015 the thereafter of $ 662 is 1877 ;"], ["table_6", "2015 the total of $ 662 is $ 4987 ;"]]}, "answers": ["38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001015", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total purchase commitments are due after 2020?\nReference time interval: 2020-01-01 00:00:00 to 2021-01-01 00:00:00", "chosen": "25%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what percentage of total purchase commitments are due after <TIME>?", "doc_prefix": "PKG", "base_question": "what percentage of total purchase commitments are due after <TIME>?", "original_question": "what percentage of total purchase commitments are due after 2020?", "reference_time": {"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}], "25%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "PKG/2015/page_83.pdf-4", "qa": {"question": "what percentage of total purchase commitments are due after 2020?", "answer": "25%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "77.0", "arg2": "312.0", "res": "25%"}], "program": "divide(77.0, 312.0)", "gold_inds": {"table_5": "2016 the thereafter of $ 95.3 is 77.0 ;", "table_6": "2016 the total of $ 95.3 is $ 312.0 ;"}, "exe_ans": 0.24679, "tfidftopn": {"text_7": "total purchase commitments were as follows ( dollars in millions ) : ."}, "program_re": "divide(77.0, 312.0)", "model_input": [["table_4", "2016 the 2020 of $ 95.3 is 23.4 ;"], ["table_5", "2016 the thereafter of $ 95.3 is 77.0 ;"], ["table_6", "2016 the total of $ 95.3 is $ 312.0 ;"]]}, "answers": ["25%"]}, "rejected_source": {"id": "PKG/2013/page_83.pdf-4", "qa": {"question": "what percentage of total purchase commitments are due after 2018?", "answer": "6%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "11536", "arg2": "207666", "res": "6%"}], "program": "divide(11536, 207666)", "gold_inds": {"table_5": "2014 the thereafter of $ 120971 is 11536 ;", "table_6": "2014 the total of $ 120971 is $ 207666 ;"}, "exe_ans": 0.05555, "tfidftopn": {"text_7": "total purchase commitments are as follows ( dollars in thousands ) : ."}, "program_re": "divide(11536, 207666)", "model_input": [["table_4", "2014 the 2018 of $ 120971 is 2545 ;"], ["table_5", "2014 the thereafter of $ 120971 is 11536 ;"], ["table_6", "2014 the total of $ 120971 is $ 207666 ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001016", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total purchase commitments are due after 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "6%.", "rejected": "25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what percentage of total purchase commitments are due after <TIME>?", "doc_prefix": "PKG", "base_question": "what percentage of total purchase commitments are due after <TIME>?", "original_question": "what percentage of total purchase commitments are due after 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}], "25%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "PKG/2013/page_83.pdf-4", "qa": {"question": "what percentage of total purchase commitments are due after 2018?", "answer": "6%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "11536", "arg2": "207666", "res": "6%"}], "program": "divide(11536, 207666)", "gold_inds": {"table_5": "2014 the thereafter of $ 120971 is 11536 ;", "table_6": "2014 the total of $ 120971 is $ 207666 ;"}, "exe_ans": 0.05555, "tfidftopn": {"text_7": "total purchase commitments are as follows ( dollars in thousands ) : ."}, "program_re": "divide(11536, 207666)", "model_input": [["table_4", "2014 the 2018 of $ 120971 is 2545 ;"], ["table_5", "2014 the thereafter of $ 120971 is 11536 ;"], ["table_6", "2014 the total of $ 120971 is $ 207666 ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "PKG/2015/page_83.pdf-4", "qa": {"question": "what percentage of total purchase commitments are due after 2020?", "answer": "25%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "77.0", "arg2": "312.0", "res": "25%"}], "program": "divide(77.0, 312.0)", "gold_inds": {"table_5": "2016 the thereafter of $ 95.3 is 77.0 ;", "table_6": "2016 the total of $ 95.3 is $ 312.0 ;"}, "exe_ans": 0.24679, "tfidftopn": {"text_7": "total purchase commitments were as follows ( dollars in millions ) : ."}, "program_re": "divide(77.0, 312.0)", "model_input": [["table_4", "2016 the 2020 of $ 95.3 is 23.4 ;"], ["table_5", "2016 the thereafter of $ 95.3 is 77.0 ;"], ["table_6", "2016 the total of $ 95.3 is $ 312.0 ;"]]}, "answers": ["25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001017", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 , from 2014 to 2015 in millions?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "70.", "rejected": "80.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , <TIME> , <TIME> in millions?", "doc_prefix": "LMT", "base_question": "what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , <TIME> , <TIME> in millions?", "original_question": "what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 , from 2014 to 2015 in millions?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"70": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "80": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "LMT/2013/page_87.pdf-3", "qa": {"question": "what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 , from 2014 to 2015 in millions?", "answer": "70", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2030", "arg2": "1960", "res": "70"}], "program": "subtract(2030, 1960)", "gold_inds": {"table_1": "the qualified defined benefit pension plans of 2014 is $ 1960 ; the qualified defined benefit pension plans of 2015 is $ 2030 ; the qualified defined benefit pension plans of 2016 is $ 2110 ; the qualified defined benefit pension plans of 2017 is $ 2200 ; the qualified defined benefit pension plans of 2018 is $ 2300 ; the qualified defined benefit pension plans of 2019 - 2023 is $ 13240 ;"}, "exe_ans": 70.0, "tfidftopn": {"text_24": "the following table presents estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 ( in millions ) : .", "text_19": "contributions and expected benefit payments we generally determine funding requirements for our defined benefit pension plans in a manner consistent with cas and internal revenue code rules ."}, "program_re": "subtract(2030, 1960)", "model_input": [["table_1", "the qualified defined benefit pension plans of 2014 is $ 1960 ; the qualified defined benefit pension plans of 2015 is $ 2030 ; the qualified defined benefit pension plans of 2016 is $ 2110 ; the qualified defined benefit pension plans of 2017 is $ 2200 ; the qualified defined benefit pension plans of 2018 is $ 2300 ; the qualified defined benefit pension plans of 2019 - 2023 is $ 13240 ;"], ["table_2", "the retiree medical and life insurance plans of 2014 is 200 ; the retiree medical and life insurance plans of 2015 is 210 ; the retiree medical and life insurance plans of 2016 is 210 ; the retiree medical and life insurance plans of 2017 is 220 ; the retiree medical and life insurance plans of 2018 is 220 ; the retiree medical and life insurance plans of 2019 - 2023 is 1070 ;"], ["text_28", "our defined contribution plans held approximately 44.7 million and 48.6 million shares of our common stock as of december 31 , 2013 and 2012. ."]]}, "answers": ["70"]}, "rejected_source": {"id": "LMT/2013/page_87.pdf-4", "qa": {"question": "what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 , from 2015 to 2016 in millions?", "answer": "80", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2110", "arg2": "2030", "res": "80"}], "program": "subtract(2110, 2030)", "gold_inds": {"table_1": "the qualified defined benefit pension plans of 2014 is $ 1960 ; the qualified defined benefit pension plans of 2015 is $ 2030 ; the qualified defined benefit pension plans of 2016 is $ 2110 ; the qualified defined benefit pension plans of 2017 is $ 2200 ; the qualified defined benefit pension plans of 2018 is $ 2300 ; the qualified defined benefit pension plans of 2019 - 2023 is $ 13240 ;"}, "exe_ans": 80.0, "tfidftopn": {"text_24": "the following table presents estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 ( in millions ) : .", "text_19": "contributions and expected benefit payments we generally determine funding requirements for our defined benefit pension plans in a manner consistent with cas and internal revenue code rules ."}, "program_re": "subtract(2110, 2030)", "model_input": [["table_1", "the qualified defined benefit pension plans of 2014 is $ 1960 ; the qualified defined benefit pension plans of 2015 is $ 2030 ; the qualified defined benefit pension plans of 2016 is $ 2110 ; the qualified defined benefit pension plans of 2017 is $ 2200 ; the qualified defined benefit pension plans of 2018 is $ 2300 ; the qualified defined benefit pension plans of 2019 - 2023 is $ 13240 ;"], ["table_2", "the retiree medical and life insurance plans of 2014 is 200 ; the retiree medical and life insurance plans of 2015 is 210 ; the retiree medical and life insurance plans of 2016 is 210 ; the retiree medical and life insurance plans of 2017 is 220 ; the retiree medical and life insurance plans of 2018 is 220 ; the retiree medical and life insurance plans of 2019 - 2023 is 1070 ;"], ["text_28", "our defined contribution plans held approximately 44.7 million and 48.6 million shares of our common stock as of december 31 , 2013 and 2012. ."]]}, "answers": ["80"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001018", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 , from 2015 to 2016 in millions?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "80.", "rejected": "70.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , <TIME> , <TIME> in millions?", "doc_prefix": "LMT", "base_question": "what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , <TIME> , <TIME> in millions?", "original_question": "what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 , from 2015 to 2016 in millions?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"70": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "80": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "LMT/2013/page_87.pdf-4", "qa": {"question": "what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 , from 2015 to 2016 in millions?", "answer": "80", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2110", "arg2": "2030", "res": "80"}], "program": "subtract(2110, 2030)", "gold_inds": {"table_1": "the qualified defined benefit pension plans of 2014 is $ 1960 ; the qualified defined benefit pension plans of 2015 is $ 2030 ; the qualified defined benefit pension plans of 2016 is $ 2110 ; the qualified defined benefit pension plans of 2017 is $ 2200 ; the qualified defined benefit pension plans of 2018 is $ 2300 ; the qualified defined benefit pension plans of 2019 - 2023 is $ 13240 ;"}, "exe_ans": 80.0, "tfidftopn": {"text_24": "the following table presents estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 ( in millions ) : .", "text_19": "contributions and expected benefit payments we generally determine funding requirements for our defined benefit pension plans in a manner consistent with cas and internal revenue code rules ."}, "program_re": "subtract(2110, 2030)", "model_input": [["table_1", "the qualified defined benefit pension plans of 2014 is $ 1960 ; the qualified defined benefit pension plans of 2015 is $ 2030 ; the qualified defined benefit pension plans of 2016 is $ 2110 ; the qualified defined benefit pension plans of 2017 is $ 2200 ; the qualified defined benefit pension plans of 2018 is $ 2300 ; the qualified defined benefit pension plans of 2019 - 2023 is $ 13240 ;"], ["table_2", "the retiree medical and life insurance plans of 2014 is 200 ; the retiree medical and life insurance plans of 2015 is 210 ; the retiree medical and life insurance plans of 2016 is 210 ; the retiree medical and life insurance plans of 2017 is 220 ; the retiree medical and life insurance plans of 2018 is 220 ; the retiree medical and life insurance plans of 2019 - 2023 is 1070 ;"], ["text_28", "our defined contribution plans held approximately 44.7 million and 48.6 million shares of our common stock as of december 31 , 2013 and 2012. ."]]}, "answers": ["80"]}, "rejected_source": {"id": "LMT/2013/page_87.pdf-3", "qa": {"question": "what is the change in estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 , from 2014 to 2015 in millions?", "answer": "70", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2030", "arg2": "1960", "res": "70"}], "program": "subtract(2030, 1960)", "gold_inds": {"table_1": "the qualified defined benefit pension plans of 2014 is $ 1960 ; the qualified defined benefit pension plans of 2015 is $ 2030 ; the qualified defined benefit pension plans of 2016 is $ 2110 ; the qualified defined benefit pension plans of 2017 is $ 2200 ; the qualified defined benefit pension plans of 2018 is $ 2300 ; the qualified defined benefit pension plans of 2019 - 2023 is $ 13240 ;"}, "exe_ans": 70.0, "tfidftopn": {"text_24": "the following table presents estimated future benefit payments , which reflect expected future employee service , as of december 31 , 2013 ( in millions ) : .", "text_19": "contributions and expected benefit payments we generally determine funding requirements for our defined benefit pension plans in a manner consistent with cas and internal revenue code rules ."}, "program_re": "subtract(2030, 1960)", "model_input": [["table_1", "the qualified defined benefit pension plans of 2014 is $ 1960 ; the qualified defined benefit pension plans of 2015 is $ 2030 ; the qualified defined benefit pension plans of 2016 is $ 2110 ; the qualified defined benefit pension plans of 2017 is $ 2200 ; the qualified defined benefit pension plans of 2018 is $ 2300 ; the qualified defined benefit pension plans of 2019 - 2023 is $ 13240 ;"], ["table_2", "the retiree medical and life insurance plans of 2014 is 200 ; the retiree medical and life insurance plans of 2015 is 210 ; the retiree medical and life insurance plans of 2016 is 210 ; the retiree medical and life insurance plans of 2017 is 220 ; the retiree medical and life insurance plans of 2018 is 220 ; the retiree medical and life insurance plans of 2019 - 2023 is 1070 ;"], ["text_28", "our defined contribution plans held approximately 44.7 million and 48.6 million shares of our common stock as of december 31 , 2013 and 2012. ."]]}, "answers": ["70"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001019", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average net sales in millions for aeronautics from 2001 to 2013?\nReference time interval: 2001-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "14479.", "rejected": "1647.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the average net sales in millions for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what was the average net sales in millions for aeronautics <TIME>?", "original_question": "what was the average net sales in millions for aeronautics from 2001 to 2013?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2001 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1647": [{"start": "2001-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2001 to 2013"}], "14479": [{"start": "2001-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2001 to 2013"}]}, "chosen_source": {"id": "LMT/2013/page_44.pdf-1", "qa": {"question": "what was the average net sales in millions for aeronautics from 2001 to 2013?", "answer": "14479", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "average1-1", "arg1": "net sales", "arg2": "none", "res": "14479"}], "program": "table_average(net sales, none)", "gold_inds": {"table_1": "the net sales of 2013 is $ 14123 ; the net sales of 2012 is $ 14953 ; the net sales of 2011 is $ 14362 ;"}, "exe_ans": 14479.33333, "tfidftopn": {"text_2": "aeronautics 2019 operating results included the following ( in millions ) : .", "text_3": "2013 compared to 2012 aeronautics 2019 net sales for 2013 decreased $ 830 million , or 6% ( 6 % ) , compared to 2012 ."}, "program_re": "table_average(net sales, none)", "model_input": [["table_1", "the net sales of 2013 is $ 14123 ; the net sales of 2012 is $ 14953 ; the net sales of 2011 is $ 14362 ;"], ["table_2", "the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ;"], ["text_3", "2013 compared to 2012 aeronautics 2019 net sales for 2013 decreased $ 830 million , or 6% ( 6 % ) , compared to 2012 ."]]}, "answers": ["14479"]}, "rejected_source": {"id": "LMT/2013/page_44.pdf-4", "qa": {"question": "what was the average net sales in millions for aeronautics from 2001 to 2013?", "answer": "1647", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "operating profit", "arg2": "none", "res": "1647"}], "program": "table_average(operating profit, none)", "gold_inds": {"table_2": "the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ;"}, "exe_ans": 1647.0, "tfidftopn": {"table_1": "The net sales of 2013 is $ 14123 ; The net sales of 2012 is $ 14953 ; The net sales of 2011 is $ 14362 ;", "text_2": "aeronautics 2019 operating results included the following ( in millions ) : ."}, "program_re": "table_average(operating profit, none)", "model_input": [["table_1", "the net sales of 2013 is $ 14123 ; the net sales of 2012 is $ 14953 ; the net sales of 2011 is $ 14362 ;"], ["table_2", "the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ;"], ["text_3", "2013 compared to 2012 aeronautics 2019 net sales for 2013 decreased $ 830 million , or 6% ( 6 % ) , compared to 2012 ."]]}, "answers": ["1647"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001020", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average net sales in millions for aeronautics from 2001 to 2013?\nReference time interval: 2001-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "1647.", "rejected": "14479.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the average net sales in millions for aeronautics <TIME>?", "doc_prefix": "LMT", "base_question": "what was the average net sales in millions for aeronautics <TIME>?", "original_question": "what was the average net sales in millions for aeronautics from 2001 to 2013?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2001 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1647": [{"start": "2001-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2001 to 2013"}], "14479": [{"start": "2001-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2001 to 2013"}]}, "chosen_source": {"id": "LMT/2013/page_44.pdf-4", "qa": {"question": "what was the average net sales in millions for aeronautics from 2001 to 2013?", "answer": "1647", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "operating profit", "arg2": "none", "res": "1647"}], "program": "table_average(operating profit, none)", "gold_inds": {"table_2": "the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ;"}, "exe_ans": 1647.0, "tfidftopn": {"table_1": "The net sales of 2013 is $ 14123 ; The net sales of 2012 is $ 14953 ; The net sales of 2011 is $ 14362 ;", "text_2": "aeronautics 2019 operating results included the following ( in millions ) : ."}, "program_re": "table_average(operating profit, none)", "model_input": [["table_1", "the net sales of 2013 is $ 14123 ; the net sales of 2012 is $ 14953 ; the net sales of 2011 is $ 14362 ;"], ["table_2", "the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ;"], ["text_3", "2013 compared to 2012 aeronautics 2019 net sales for 2013 decreased $ 830 million , or 6% ( 6 % ) , compared to 2012 ."]]}, "answers": ["1647"]}, "rejected_source": {"id": "LMT/2013/page_44.pdf-1", "qa": {"question": "what was the average net sales in millions for aeronautics from 2001 to 2013?", "answer": "14479", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "average1-1", "arg1": "net sales", "arg2": "none", "res": "14479"}], "program": "table_average(net sales, none)", "gold_inds": {"table_1": "the net sales of 2013 is $ 14123 ; the net sales of 2012 is $ 14953 ; the net sales of 2011 is $ 14362 ;"}, "exe_ans": 14479.33333, "tfidftopn": {"text_2": "aeronautics 2019 operating results included the following ( in millions ) : .", "text_3": "2013 compared to 2012 aeronautics 2019 net sales for 2013 decreased $ 830 million , or 6% ( 6 % ) , compared to 2012 ."}, "program_re": "table_average(net sales, none)", "model_input": [["table_1", "the net sales of 2013 is $ 14123 ; the net sales of 2012 is $ 14953 ; the net sales of 2011 is $ 14362 ;"], ["table_2", "the operating profit of 2013 is 1612 ; the operating profit of 2012 is 1699 ; the operating profit of 2011 is 1630 ;"], ["text_3", "2013 compared to 2012 aeronautics 2019 net sales for 2013 decreased $ 830 million , or 6% ( 6 % ) , compared to 2012 ."]]}, "answers": ["14479"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001021", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by how much did total other income and expense decrease from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "47.4%.", "rejected": "52.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || by how much did total other income and expense decrease <TIME>?", "doc_prefix": "AAPL", "base_question": "by how much did total other income and expense decrease <TIME>?", "original_question": "by how much did total other income and expense decrease from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"47.4%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "52.5%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "AAPL/2010/page_42.pdf-2", "qa": {"question": "by how much did total other income and expense decrease from 2008 to 2009?", "answer": "47.4%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "620", "arg2": "326", "res": "294"}, {"op": "divide2-2", "arg1": "#0", "arg2": "620", "res": "47.4%"}], "program": "subtract(620, 326), divide(#0, 620)", "gold_inds": {"table_3": "the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ; the total other income and expense of 2008 is $ 620 ;"}, "exe_ans": 0.47419, "tfidftopn": {"text_18": "during 2010 , 2009 and 2008 , the company had no debt outstanding and accordingly did not incur any related interest expense .", "table_1": "The interest income of 2010 is $ 311 ; The interest income of 2009 is $ 407 ; The interest income of 2008 is $ 653 ;"}, "program_re": "divide(subtract(620, 326), 620)", "model_input": [["text_14", "other income and expense other income and expense for the three years ended september 25 , 2010 , are as follows ( in millions ) : total other income and expense decreased $ 171 million or 52% ( 52 % ) to $ 155 million during 2010 compared to $ 326 million and $ 620 million in 2009 and 2008 , respectively ."], ["table_2", "the other income ( expense ) net of 2010 is -156 ( 156 ) ; the other income ( expense ) net of 2009 is -81 ( 81 ) ; the other income ( expense ) net of 2008 is -33 ( 33 ) ;"], ["table_3", "the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ; the total other income and expense of 2008 is $ 620 ;"]]}, "answers": ["47.4%"]}, "rejected_source": {"id": "AAPL/2010/page_42.pdf-4", "qa": {"question": "by how much did total other income and expense decrease from 2009 to 2010?", "answer": "52.5%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "326", "arg2": "155", "res": "171"}, {"op": "divide1-2", "arg1": "#0", "arg2": "326", "res": "52.5%"}], "program": "subtract(326, 155), divide(#0, 326)", "gold_inds": {"table_3": "the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ; the total other income and expense of 2008 is $ 620 ;"}, "exe_ans": 0.52454, "tfidftopn": {"text_18": "during 2010 , 2009 and 2008 , the company had no debt outstanding and accordingly did not incur any related interest expense .", "table_1": "The interest income of 2010 is $ 311 ; The interest income of 2009 is $ 407 ; The interest income of 2008 is $ 653 ;"}, "program_re": "divide(subtract(326, 155), 326)", "model_input": [["text_14", "other income and expense other income and expense for the three years ended september 25 , 2010 , are as follows ( in millions ) : total other income and expense decreased $ 171 million or 52% ( 52 % ) to $ 155 million during 2010 compared to $ 326 million and $ 620 million in 2009 and 2008 , respectively ."], ["table_2", "the other income ( expense ) net of 2010 is -156 ( 156 ) ; the other income ( expense ) net of 2009 is -81 ( 81 ) ; the other income ( expense ) net of 2008 is -33 ( 33 ) ;"], ["table_3", "the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ; the total other income and expense of 2008 is $ 620 ;"]]}, "answers": ["52.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001022", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by how much did total other income and expense decrease from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "52.5%.", "rejected": "47.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || by how much did total other income and expense decrease <TIME>?", "doc_prefix": "AAPL", "base_question": "by how much did total other income and expense decrease <TIME>?", "original_question": "by how much did total other income and expense decrease from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"47.4%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "52.5%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "AAPL/2010/page_42.pdf-4", "qa": {"question": "by how much did total other income and expense decrease from 2009 to 2010?", "answer": "52.5%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "326", "arg2": "155", "res": "171"}, {"op": "divide1-2", "arg1": "#0", "arg2": "326", "res": "52.5%"}], "program": "subtract(326, 155), divide(#0, 326)", "gold_inds": {"table_3": "the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ; the total other income and expense of 2008 is $ 620 ;"}, "exe_ans": 0.52454, "tfidftopn": {"text_18": "during 2010 , 2009 and 2008 , the company had no debt outstanding and accordingly did not incur any related interest expense .", "table_1": "The interest income of 2010 is $ 311 ; The interest income of 2009 is $ 407 ; The interest income of 2008 is $ 653 ;"}, "program_re": "divide(subtract(326, 155), 326)", "model_input": [["text_14", "other income and expense other income and expense for the three years ended september 25 , 2010 , are as follows ( in millions ) : total other income and expense decreased $ 171 million or 52% ( 52 % ) to $ 155 million during 2010 compared to $ 326 million and $ 620 million in 2009 and 2008 , respectively ."], ["table_2", "the other income ( expense ) net of 2010 is -156 ( 156 ) ; the other income ( expense ) net of 2009 is -81 ( 81 ) ; the other income ( expense ) net of 2008 is -33 ( 33 ) ;"], ["table_3", "the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ; the total other income and expense of 2008 is $ 620 ;"]]}, "answers": ["52.5%"]}, "rejected_source": {"id": "AAPL/2010/page_42.pdf-2", "qa": {"question": "by how much did total other income and expense decrease from 2008 to 2009?", "answer": "47.4%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "620", "arg2": "326", "res": "294"}, {"op": "divide2-2", "arg1": "#0", "arg2": "620", "res": "47.4%"}], "program": "subtract(620, 326), divide(#0, 620)", "gold_inds": {"table_3": "the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ; the total other income and expense of 2008 is $ 620 ;"}, "exe_ans": 0.47419, "tfidftopn": {"text_18": "during 2010 , 2009 and 2008 , the company had no debt outstanding and accordingly did not incur any related interest expense .", "table_1": "The interest income of 2010 is $ 311 ; The interest income of 2009 is $ 407 ; The interest income of 2008 is $ 653 ;"}, "program_re": "divide(subtract(620, 326), 620)", "model_input": [["text_14", "other income and expense other income and expense for the three years ended september 25 , 2010 , are as follows ( in millions ) : total other income and expense decreased $ 171 million or 52% ( 52 % ) to $ 155 million during 2010 compared to $ 326 million and $ 620 million in 2009 and 2008 , respectively ."], ["table_2", "the other income ( expense ) net of 2010 is -156 ( 156 ) ; the other income ( expense ) net of 2009 is -81 ( 81 ) ; the other income ( expense ) net of 2008 is -33 ( 33 ) ;"], ["table_3", "the total other income and expense of 2010 is $ 155 ; the total other income and expense of 2009 is $ 326 ; the total other income and expense of 2008 is $ 620 ;"]]}, "answers": ["47.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001023", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were average net sales for space systems in millions between 2014 and 2016?\nReference time interval: 2014-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "6509.", "rejected": "8309.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what were average net sales for space systems in millions <TIME>?", "doc_prefix": "LMT", "base_question": "what were average net sales for space systems in millions <TIME>?", "original_question": "what were average net sales for space systems in millions between 2014 and 2016?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2014 and 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8309": [{"start": "2008-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2008 to 2010"}], "6509": [{"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2014 and 2016"}]}, "chosen_source": {"id": "LMT/2016/page_52.pdf-2", "qa": {"question": "what were average net sales for space systems in millions between 2014 and 2016?", "answer": "6509", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "average1-1", "arg1": "net sales", "arg2": "none", "res": "6509"}], "program": "table_average(net sales, none)", "gold_inds": {"table_1": "the net sales of 2016 is $ 9409 ; the net sales of 2015 is $ 9105 ; the net sales of 2014 is $ 9202 ;"}, "exe_ans": 9238.66667, "tfidftopn": {"text_2": "space systems 2019 operating results included the following ( in millions ) : .", "text_10": "2015 compared to 2014 space systems 2019 net sales in 2015 decreased $ 97 million , or 1% ( 1 % ) , compared to 2014 ."}, "program_re": "table_average(net sales, none)", "model_input": [["table_1", "the net sales of 2016 is $ 9409 ; the net sales of 2015 is $ 9105 ; the net sales of 2014 is $ 9202 ;"], ["table_2", "the operating profit of 2016 is 1289 ; the operating profit of 2015 is 1171 ; the operating profit of 2014 is 1187 ;"], ["text_3", "2016 compared to 2015 space systems 2019 net sales in 2016 increased $ 304 million , or 3% ( 3 % ) , compared to 2015 ."]]}, "answers": ["6509"]}, "rejected_source": {"id": "LMT/2010/page_39.pdf-4", "qa": {"question": "what were average net sales for space systems in millions from 2008 to 2010?", "answer": "8309", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "average1-1", "arg1": "net sales", "arg2": "none", "res": "8309"}], "program": "table_average(net sales, none)", "gold_inds": {"table_1": "( in millions ) the net sales of 2010 is $ 8246 ; the net sales of 2009 is $ 8654 ; the net sales of 2008 is $ 8027 ;"}, "exe_ans": 8309.0, "tfidftopn": {"text_23": "net sales for space systems decreased by 5% ( 5 % ) in 2010 compared to 2009 .", "text_30": "net sales for space systems increased 8% ( 8 % ) in 2009 compared to 2008 ."}, "program_re": "table_average(net sales, none)", "model_input": [["text_21", "the space shuttle is expected to complete its final flight mission in 2011 and our involvement with its launch and processing activities will end at that time ."], ["table_1", "( in millions ) the net sales of 2010 is $ 8246 ; the net sales of 2009 is $ 8654 ; the net sales of 2008 is $ 8027 ;"], ["table_2", "( in millions ) the operating profit of 2010 is 972 ; the operating profit of 2009 is 972 ; the operating profit of 2008 is 953 ;"]]}, "answers": ["8309"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001024", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were average net sales for space systems in millions from 2008 to 2010?\nReference time interval: 2008-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "8309.", "rejected": "6509.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what were average net sales for space systems in millions <TIME>?", "doc_prefix": "LMT", "base_question": "what were average net sales for space systems in millions <TIME>?", "original_question": "what were average net sales for space systems in millions from 2008 to 2010?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2008 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8309": [{"start": "2008-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2008 to 2010"}], "6509": [{"start": "2014-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2014 and 2016"}]}, "chosen_source": {"id": "LMT/2010/page_39.pdf-4", "qa": {"question": "what were average net sales for space systems in millions from 2008 to 2010?", "answer": "8309", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "average1-1", "arg1": "net sales", "arg2": "none", "res": "8309"}], "program": "table_average(net sales, none)", "gold_inds": {"table_1": "( in millions ) the net sales of 2010 is $ 8246 ; the net sales of 2009 is $ 8654 ; the net sales of 2008 is $ 8027 ;"}, "exe_ans": 8309.0, "tfidftopn": {"text_23": "net sales for space systems decreased by 5% ( 5 % ) in 2010 compared to 2009 .", "text_30": "net sales for space systems increased 8% ( 8 % ) in 2009 compared to 2008 ."}, "program_re": "table_average(net sales, none)", "model_input": [["text_21", "the space shuttle is expected to complete its final flight mission in 2011 and our involvement with its launch and processing activities will end at that time ."], ["table_1", "( in millions ) the net sales of 2010 is $ 8246 ; the net sales of 2009 is $ 8654 ; the net sales of 2008 is $ 8027 ;"], ["table_2", "( in millions ) the operating profit of 2010 is 972 ; the operating profit of 2009 is 972 ; the operating profit of 2008 is 953 ;"]]}, "answers": ["8309"]}, "rejected_source": {"id": "LMT/2016/page_52.pdf-2", "qa": {"question": "what were average net sales for space systems in millions between 2014 and 2016?", "answer": "6509", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "average1-1", "arg1": "net sales", "arg2": "none", "res": "6509"}], "program": "table_average(net sales, none)", "gold_inds": {"table_1": "the net sales of 2016 is $ 9409 ; the net sales of 2015 is $ 9105 ; the net sales of 2014 is $ 9202 ;"}, "exe_ans": 9238.66667, "tfidftopn": {"text_2": "space systems 2019 operating results included the following ( in millions ) : .", "text_10": "2015 compared to 2014 space systems 2019 net sales in 2015 decreased $ 97 million , or 1% ( 1 % ) , compared to 2014 ."}, "program_re": "table_average(net sales, none)", "model_input": [["table_1", "the net sales of 2016 is $ 9409 ; the net sales of 2015 is $ 9105 ; the net sales of 2014 is $ 9202 ;"], ["table_2", "the operating profit of 2016 is 1289 ; the operating profit of 2015 is 1171 ; the operating profit of 2014 is 1187 ;"], ["text_3", "2016 compared to 2015 space systems 2019 net sales in 2016 increased $ 304 million , or 3% ( 3 % ) , compared to 2015 ."]]}, "answers": ["6509"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001025", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the increase in total minimum lease payments between 2003 and 2004 in millions?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "-5.", "rejected": "13.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the increase in total minimum lease payments <TIME> in millions?", "doc_prefix": "AAPL", "base_question": "what was the increase in total minimum lease payments <TIME> in millions?", "original_question": "what was the increase in total minimum lease payments between 2003 and 2004 in millions?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "13": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "AAPL/2002/page_63.pdf-1", "qa": {"question": "what was the increase in total minimum lease payments between 2003 and 2004 in millions?", "answer": "-5", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "78", "arg2": "83", "res": "-5"}], "program": "subtract(78, 83)", "gold_inds": {"table_1": "2003 the 2004 of $ 83 is 78 ;", "table_0": "2003 the 2003 of $ 83 is $ 83 ;"}, "exe_ans": -5.0, "tfidftopn": {"table_6": "2003 The total minimum lease payments of $ 83 is $ 464 ;"}, "program_re": "subtract(78, 83)", "model_input": [["table_0", "2003 the 2003 of $ 83 is $ 83 ;"], ["table_1", "2003 the 2004 of $ 83 is 78 ;"], ["table_6", "2003 the total minimum lease payments of $ 83 is $ 464 ;"]]}, "answers": ["-5"]}, "rejected_source": {"id": "AAPL/2002/page_63.pdf-3", "qa": {"question": "what was the increase in total minimum lease payments between 2006 and 2007 in millions?", "answer": "13", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "55", "arg2": "42", "res": "13"}], "program": "subtract(55, 42)", "gold_inds": {"table_3": "2003 the 2006 of $ 83 is 55 ;", "table_4": "2003 the 2007 of $ 83 is 42 ;"}, "exe_ans": 13.0, "tfidftopn": {"table_6": "2003 The total minimum lease payments of $ 83 is $ 464 ;"}, "program_re": "subtract(55, 42)", "model_input": [["table_3", "2003 the 2006 of $ 83 is 55 ;"], ["table_4", "2003 the 2007 of $ 83 is 42 ;"], ["table_6", "2003 the total minimum lease payments of $ 83 is $ 464 ;"]]}, "answers": ["13"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001026", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the increase in total minimum lease payments between 2006 and 2007 in millions?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "13.", "rejected": "-5.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the increase in total minimum lease payments <TIME> in millions?", "doc_prefix": "AAPL", "base_question": "what was the increase in total minimum lease payments <TIME> in millions?", "original_question": "what was the increase in total minimum lease payments between 2006 and 2007 in millions?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}], "13": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "between 2006 and 2007"}]}, "chosen_source": {"id": "AAPL/2002/page_63.pdf-3", "qa": {"question": "what was the increase in total minimum lease payments between 2006 and 2007 in millions?", "answer": "13", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "55", "arg2": "42", "res": "13"}], "program": "subtract(55, 42)", "gold_inds": {"table_3": "2003 the 2006 of $ 83 is 55 ;", "table_4": "2003 the 2007 of $ 83 is 42 ;"}, "exe_ans": 13.0, "tfidftopn": {"table_6": "2003 The total minimum lease payments of $ 83 is $ 464 ;"}, "program_re": "subtract(55, 42)", "model_input": [["table_3", "2003 the 2006 of $ 83 is 55 ;"], ["table_4", "2003 the 2007 of $ 83 is 42 ;"], ["table_6", "2003 the total minimum lease payments of $ 83 is $ 464 ;"]]}, "answers": ["13"]}, "rejected_source": {"id": "AAPL/2002/page_63.pdf-1", "qa": {"question": "what was the increase in total minimum lease payments between 2003 and 2004 in millions?", "answer": "-5", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "78", "arg2": "83", "res": "-5"}], "program": "subtract(78, 83)", "gold_inds": {"table_1": "2003 the 2004 of $ 83 is 78 ;", "table_0": "2003 the 2003 of $ 83 is $ 83 ;"}, "exe_ans": -5.0, "tfidftopn": {"table_6": "2003 The total minimum lease payments of $ 83 is $ 464 ;"}, "program_re": "subtract(78, 83)", "model_input": [["table_0", "2003 the 2003 of $ 83 is $ 83 ;"], ["table_1", "2003 the 2004 of $ 83 is 78 ;"], ["table_6", "2003 the total minimum lease payments of $ 83 is $ 464 ;"]]}, "answers": ["-5"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001027", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash flows used in investing activities from 2017 to 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-18%.", "rejected": "-70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the percentage change in cash flows used in investing activities <TIME>?", "doc_prefix": "ZBH", "base_question": "what was the percentage change in cash flows used in investing activities <TIME>?", "original_question": "what was the percentage change in cash flows used in investing activities from 2017 to 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-70%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-18%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "ZBH/2018/page_34.pdf-3", "qa": {"question": "what was the percentage change in cash flows used in investing activities from 2017 to 2018?", "answer": "-18%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus1-1", "arg1": "416.6", "arg2": "510.8", "res": "-94.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "510.8", "res": "-18%"}], "program": "subtract(416.6, 510.8), divide(#0, 510.8)", "gold_inds": {"text_26": "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."}, "exe_ans": -0.18442, "tfidftopn": {"text_33": "cash flows used in financing activities were $ 1302.2 million in 2018 .", "text_20": "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(416.6, 510.8), 510.8)", "model_input": [["text_26", "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."], ["text_38", "term loan c and used the cash proceeds along with cash generated from operations throughout the year to repay an aggregate of $ 835.0 million on u.s ."], ["text_48", "term loan c and used those proceeds , along with cash on hand , to repay the remaining $ 225.0 million outstanding under u.s ."]]}, "answers": ["-18%"]}, "rejected_source": {"id": "ZBH/2018/page_34.pdf-2", "qa": {"question": "what was the percentage change in cash flows used in investing activities from 2016 to 2017?", "answer": "-70%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus2-1", "arg1": "510.8", "arg2": "1691.5", "res": "-1180.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1691.5", "res": "-70%"}], "program": "subtract(510.8, 1691.5), divide(#0, 1691.5)", "gold_inds": {"text_26": "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."}, "exe_ans": -0.69802, "tfidftopn": {"text_33": "cash flows used in financing activities were $ 1302.2 million in 2018 .", "text_20": "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(510.8, 1691.5), 1691.5)", "model_input": [["text_26", "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."], ["text_38", "term loan c and used the cash proceeds along with cash generated from operations throughout the year to repay an aggregate of $ 835.0 million on u.s ."], ["text_48", "term loan c and used those proceeds , along with cash on hand , to repay the remaining $ 225.0 million outstanding under u.s ."]]}, "answers": ["-70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001028", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash flows used in investing activities from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-70%.", "rejected": "-18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the percentage change in cash flows used in investing activities <TIME>?", "doc_prefix": "ZBH", "base_question": "what was the percentage change in cash flows used in investing activities <TIME>?", "original_question": "what was the percentage change in cash flows used in investing activities from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-70%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-18%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "ZBH/2018/page_34.pdf-2", "qa": {"question": "what was the percentage change in cash flows used in investing activities from 2016 to 2017?", "answer": "-70%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus2-1", "arg1": "510.8", "arg2": "1691.5", "res": "-1180.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1691.5", "res": "-70%"}], "program": "subtract(510.8, 1691.5), divide(#0, 1691.5)", "gold_inds": {"text_26": "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."}, "exe_ans": -0.69802, "tfidftopn": {"text_33": "cash flows used in financing activities were $ 1302.2 million in 2018 .", "text_20": "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(510.8, 1691.5), 1691.5)", "model_input": [["text_26", "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."], ["text_38", "term loan c and used the cash proceeds along with cash generated from operations throughout the year to repay an aggregate of $ 835.0 million on u.s ."], ["text_48", "term loan c and used those proceeds , along with cash on hand , to repay the remaining $ 225.0 million outstanding under u.s ."]]}, "answers": ["-70%"]}, "rejected_source": {"id": "ZBH/2018/page_34.pdf-3", "qa": {"question": "what was the percentage change in cash flows used in investing activities from 2017 to 2018?", "answer": "-18%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus1-1", "arg1": "416.6", "arg2": "510.8", "res": "-94.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "510.8", "res": "-18%"}], "program": "subtract(416.6, 510.8), divide(#0, 510.8)", "gold_inds": {"text_26": "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."}, "exe_ans": -0.18442, "tfidftopn": {"text_33": "cash flows used in financing activities were $ 1302.2 million in 2018 .", "text_20": "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(416.6, 510.8), 510.8)", "model_input": [["text_26", "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."], ["text_38", "term loan c and used the cash proceeds along with cash generated from operations throughout the year to repay an aggregate of $ 835.0 million on u.s ."], ["text_48", "term loan c and used those proceeds , along with cash on hand , to repay the remaining $ 225.0 million outstanding under u.s ."]]}, "answers": ["-18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001029", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of total other income and expense from 2001 to 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "-222.", "rejected": "-278.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the change in millions of total other income and expense <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the change in millions of total other income and expense <TIME>?", "original_question": "what was the change in millions of total other income and expense from 2001 to 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-278": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "-222": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}]}, "chosen_source": {"id": "AAPL/2002/page_26.pdf-2", "qa": {"question": "what was the change in millions of total other income and expense from 2001 to 2002?", "answer": "-222", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "70", "arg2": "292", "res": "-222"}], "program": "subtract(70, 292)", "gold_inds": {"table_7": "the total other income and expense of 2002 is $ 70 ; the total other income and expense of 2001 is $ 292 ; the total other income and expense of 2000 is $ 570 ;"}, "exe_ans": -222.0, "tfidftopn": {"text_27": "total other income and expense .", "table_5": "The miscellaneous other income and expense of 2002 is 5 ; The miscellaneous other income and expense of 2001 is 15 ; The miscellaneous other income and expense of 2000 is 14 ;"}, "program_re": "subtract(70, 292)", "model_input": [["table_3", "the interest income of 2002 is $ 118 ; the interest income of 2001 is $ 218 ; the interest income of 2000 is $ 210 ;"], ["table_5", "the miscellaneous other income and expense of 2002 is 5 ; the miscellaneous other income and expense of 2001 is 15 ; the miscellaneous other income and expense of 2000 is 14 ;"], ["table_7", "the total other income and expense of 2002 is $ 70 ; the total other income and expense of 2001 is $ 292 ; the total other income and expense of 2000 is $ 570 ;"]]}, "answers": ["-222"]}, "rejected_source": {"id": "AAPL/2002/page_26.pdf-4", "qa": {"question": "what was the change in millions of total other income and expense from 2000 to 2001?", "answer": "-278", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "292", "arg2": "570", "res": "-278"}], "program": "subtract(292, 570)", "gold_inds": {"table_7": "the total other income and expense of 2002 is $ 70 ; the total other income and expense of 2001 is $ 292 ; the total other income and expense of 2000 is $ 570 ;"}, "exe_ans": -278.0, "tfidftopn": {"text_27": "total other income and expense .", "table_5": "The miscellaneous other income and expense of 2002 is 5 ; The miscellaneous other income and expense of 2001 is 15 ; The miscellaneous other income and expense of 2000 is 14 ;"}, "program_re": "subtract(292, 570)", "model_input": [["table_3", "the interest income of 2002 is $ 118 ; the interest income of 2001 is $ 218 ; the interest income of 2000 is $ 210 ;"], ["table_5", "the miscellaneous other income and expense of 2002 is 5 ; the miscellaneous other income and expense of 2001 is 15 ; the miscellaneous other income and expense of 2000 is 14 ;"], ["table_7", "the total other income and expense of 2002 is $ 70 ; the total other income and expense of 2001 is $ 292 ; the total other income and expense of 2000 is $ 570 ;"]]}, "answers": ["-278"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001030", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of total other income and expense from 2000 to 2001?\nReference time interval: 2000-01-01 00:00:00 to 2002-01-01 00:00:00", "chosen": "-278.", "rejected": "-222.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the change in millions of total other income and expense <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the change in millions of total other income and expense <TIME>?", "original_question": "what was the change in millions of total other income and expense from 2000 to 2001?", "reference_time": {"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-278": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "-222": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}]}, "chosen_source": {"id": "AAPL/2002/page_26.pdf-4", "qa": {"question": "what was the change in millions of total other income and expense from 2000 to 2001?", "answer": "-278", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "292", "arg2": "570", "res": "-278"}], "program": "subtract(292, 570)", "gold_inds": {"table_7": "the total other income and expense of 2002 is $ 70 ; the total other income and expense of 2001 is $ 292 ; the total other income and expense of 2000 is $ 570 ;"}, "exe_ans": -278.0, "tfidftopn": {"text_27": "total other income and expense .", "table_5": "The miscellaneous other income and expense of 2002 is 5 ; The miscellaneous other income and expense of 2001 is 15 ; The miscellaneous other income and expense of 2000 is 14 ;"}, "program_re": "subtract(292, 570)", "model_input": [["table_3", "the interest income of 2002 is $ 118 ; the interest income of 2001 is $ 218 ; the interest income of 2000 is $ 210 ;"], ["table_5", "the miscellaneous other income and expense of 2002 is 5 ; the miscellaneous other income and expense of 2001 is 15 ; the miscellaneous other income and expense of 2000 is 14 ;"], ["table_7", "the total other income and expense of 2002 is $ 70 ; the total other income and expense of 2001 is $ 292 ; the total other income and expense of 2000 is $ 570 ;"]]}, "answers": ["-278"]}, "rejected_source": {"id": "AAPL/2002/page_26.pdf-2", "qa": {"question": "what was the change in millions of total other income and expense from 2001 to 2002?", "answer": "-222", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "70", "arg2": "292", "res": "-222"}], "program": "subtract(70, 292)", "gold_inds": {"table_7": "the total other income and expense of 2002 is $ 70 ; the total other income and expense of 2001 is $ 292 ; the total other income and expense of 2000 is $ 570 ;"}, "exe_ans": -222.0, "tfidftopn": {"text_27": "total other income and expense .", "table_5": "The miscellaneous other income and expense of 2002 is 5 ; The miscellaneous other income and expense of 2001 is 15 ; The miscellaneous other income and expense of 2000 is 14 ;"}, "program_re": "subtract(70, 292)", "model_input": [["table_3", "the interest income of 2002 is $ 118 ; the interest income of 2001 is $ 218 ; the interest income of 2000 is $ 210 ;"], ["table_5", "the miscellaneous other income and expense of 2002 is 5 ; the miscellaneous other income and expense of 2001 is 15 ; the miscellaneous other income and expense of 2000 is 14 ;"], ["table_7", "the total other income and expense of 2002 is $ 70 ; the total other income and expense of 2001 is $ 292 ; the total other income and expense of 2000 is $ 570 ;"]]}, "answers": ["-222"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001031", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of total accumulated other comprehensive losses from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-157.", "rejected": "1024.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what was the change in millions of total accumulated other comprehensive losses <TIME>?", "doc_prefix": "PM", "base_question": "what was the change in millions of total accumulated other comprehensive losses <TIME>?", "original_question": "what was the change in millions of total accumulated other comprehensive losses from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-157": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1024": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "PM/2017/page_117.pdf-1", "qa": {"question": "what was the change in millions of total accumulated other comprehensive losses from 2015 to 2016?", "answer": "-157", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-9559", "arg2": "-9402", "res": "-157"}], "program": "subtract(-9559, -9402)", "gold_inds": {"table_4": "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2017 is $ -8535 ( 8535 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2016 is $ -9559 ( 9559 ) ; the total accumulated other comprehensive losses of 2015 is $ -9402 ( 9402 ) ;"}, "exe_ans": -157.0, "tfidftopn": {"text_1": "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: .", "text_2": "reclassifications from other comprehensive earnings the movements in accumulated other comprehensive losses and the related tax impact , for each of the components above , that are due to current period activity and reclassifications to the income statement are shown on the consolidated statements of comprehensive earnings for the years ended december 31 , 2017 , 2016 , and 2015 ."}, "program_re": "subtract(-9559, -9402)", "model_input": [["text_1", "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: ."], ["table_4", "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2017 is $ -8535 ( 8535 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2016 is $ -9559 ( 9559 ) ; the total accumulated other comprehensive losses of 2015 is $ -9402 ( 9402 ) ;"], ["text_3", "for the years ended december 31 , 2017 , 2016 , and 2015 , $ 2 million , $ ( 5 ) million and $ 1 million of net currency translation adjustment gains/ ( losses ) were transferred from other comprehensive earnings to marketing , administration and research costs in the consolidated statements of earnings , respectively , upon liquidation of subsidiaries ."]]}, "answers": ["-157"]}, "rejected_source": {"id": "PM/2017/page_117.pdf-2", "qa": {"question": "what was the change in millions of total accumulated other comprehensive losses from 2016 to 2017?", "answer": "1024", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-8535", "arg2": "-9559", "res": "1024"}], "program": "subtract(-8535, -9559)", "gold_inds": {"table_4": "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2017 is $ -8535 ( 8535 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2016 is $ -9559 ( 9559 ) ; the total accumulated other comprehensive losses of 2015 is $ -9402 ( 9402 ) ;"}, "exe_ans": 1024.0, "tfidftopn": {"text_1": "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: .", "text_2": "reclassifications from other comprehensive earnings the movements in accumulated other comprehensive losses and the related tax impact , for each of the components above , that are due to current period activity and reclassifications to the income statement are shown on the consolidated statements of comprehensive earnings for the years ended december 31 , 2017 , 2016 , and 2015 ."}, "program_re": "subtract(-8535, -9559)", "model_input": [["text_1", "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: ."], ["table_4", "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2017 is $ -8535 ( 8535 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2016 is $ -9559 ( 9559 ) ; the total accumulated other comprehensive losses of 2015 is $ -9402 ( 9402 ) ;"], ["text_3", "for the years ended december 31 , 2017 , 2016 , and 2015 , $ 2 million , $ ( 5 ) million and $ 1 million of net currency translation adjustment gains/ ( losses ) were transferred from other comprehensive earnings to marketing , administration and research costs in the consolidated statements of earnings , respectively , upon liquidation of subsidiaries ."]]}, "answers": ["1024"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001032", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of total accumulated other comprehensive losses from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "1024.", "rejected": "-157.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what was the change in millions of total accumulated other comprehensive losses <TIME>?", "doc_prefix": "PM", "base_question": "what was the change in millions of total accumulated other comprehensive losses <TIME>?", "original_question": "what was the change in millions of total accumulated other comprehensive losses from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-157": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "1024": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "PM/2017/page_117.pdf-2", "qa": {"question": "what was the change in millions of total accumulated other comprehensive losses from 2016 to 2017?", "answer": "1024", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-8535", "arg2": "-9559", "res": "1024"}], "program": "subtract(-8535, -9559)", "gold_inds": {"table_4": "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2017 is $ -8535 ( 8535 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2016 is $ -9559 ( 9559 ) ; the total accumulated other comprehensive losses of 2015 is $ -9402 ( 9402 ) ;"}, "exe_ans": 1024.0, "tfidftopn": {"text_1": "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: .", "text_2": "reclassifications from other comprehensive earnings the movements in accumulated other comprehensive losses and the related tax impact , for each of the components above , that are due to current period activity and reclassifications to the income statement are shown on the consolidated statements of comprehensive earnings for the years ended december 31 , 2017 , 2016 , and 2015 ."}, "program_re": "subtract(-8535, -9559)", "model_input": [["text_1", "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: ."], ["table_4", "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2017 is $ -8535 ( 8535 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2016 is $ -9559 ( 9559 ) ; the total accumulated other comprehensive losses of 2015 is $ -9402 ( 9402 ) ;"], ["text_3", "for the years ended december 31 , 2017 , 2016 , and 2015 , $ 2 million , $ ( 5 ) million and $ 1 million of net currency translation adjustment gains/ ( losses ) were transferred from other comprehensive earnings to marketing , administration and research costs in the consolidated statements of earnings , respectively , upon liquidation of subsidiaries ."]]}, "answers": ["1024"]}, "rejected_source": {"id": "PM/2017/page_117.pdf-1", "qa": {"question": "what was the change in millions of total accumulated other comprehensive losses from 2015 to 2016?", "answer": "-157", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-9559", "arg2": "-9402", "res": "-157"}], "program": "subtract(-9559, -9402)", "gold_inds": {"table_4": "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2017 is $ -8535 ( 8535 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2016 is $ -9559 ( 9559 ) ; the total accumulated other comprehensive losses of 2015 is $ -9402 ( 9402 ) ;"}, "exe_ans": -157.0, "tfidftopn": {"text_1": "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: .", "text_2": "reclassifications from other comprehensive earnings the movements in accumulated other comprehensive losses and the related tax impact , for each of the components above , that are due to current period activity and reclassifications to the income statement are shown on the consolidated statements of comprehensive earnings for the years ended december 31 , 2017 , 2016 , and 2015 ."}, "program_re": "subtract(-9559, -9402)", "model_input": [["text_1", "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: ."], ["table_4", "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2017 is $ -8535 ( 8535 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2016 is $ -9559 ( 9559 ) ; the total accumulated other comprehensive losses of 2015 is $ -9402 ( 9402 ) ;"], ["text_3", "for the years ended december 31 , 2017 , 2016 , and 2015 , $ 2 million , $ ( 5 ) million and $ 1 million of net currency translation adjustment gains/ ( losses ) were transferred from other comprehensive earnings to marketing , administration and research costs in the consolidated statements of earnings , respectively , upon liquidation of subsidiaries ."]]}, "answers": ["-157"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001033", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in interest expense net from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "31%.", "rejected": "81%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what was the percentage change in interest expense net <TIME>?", "doc_prefix": "UAA", "base_question": "what was the percentage change in interest expense net <TIME>?", "original_question": "what was the percentage change in interest expense net from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"81%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "31%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UAA/2017/page_86.pdf-1", "qa": {"question": "what was the percentage change in interest expense net from 2016 to 2017?", "answer": "31%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [8], "steps": [{"op": "minus1-1", "arg1": "34.5", "arg2": "26.4", "res": "8.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "26.4", "res": "31%"}], "program": "subtract(34.5, 26.4), divide(#0, 26.4)", "gold_inds": {"text_8": "interest expense , net was $ 34.5 million , $ 26.4 million , and $ 14.6 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.30682, "tfidftopn": {"text_9": "interest expense includes the amortization of deferred financing costs , bank fees , capital and built-to-suit lease interest and interest expense under the credit and other long term debt facilities .", "text_6": "the weighted average interest rate on the loan was 2.5% ( 2.5 % ) and 2.0% ( 2.0 % ) for the years ended december 31 , 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(34.5, 26.4), 26.4)", "model_input": [["text_6", "the weighted average interest rate on the loan was 2.5% ( 2.5 % ) and 2.0% ( 2.0 % ) for the years ended december 31 , 2017 and 2016 , respectively ."], ["text_8", "interest expense , net was $ 34.5 million , $ 26.4 million , and $ 14.6 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_10", "amortization of deferred financing costs was $ 1.3 million , $ 1.2 million , and $ 0.8 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."]]}, "answers": ["31%"]}, "rejected_source": {"id": "UAA/2017/page_86.pdf-3", "qa": {"question": "what was the percentage change in interest expense net from 2015 to 2016?", "answer": "81%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [8], "steps": [{"op": "minus2-1", "arg1": "26.4", "arg2": "14.6", "res": "11.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "14.6", "res": "81%"}], "program": "subtract(26.4, 14.6), divide(#0, 14.6)", "gold_inds": {"text_8": "interest expense , net was $ 34.5 million , $ 26.4 million , and $ 14.6 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.80822, "tfidftopn": {"text_9": "interest expense includes the amortization of deferred financing costs , bank fees , capital and built-to-suit lease interest and interest expense under the credit and other long term debt facilities .", "text_10": "amortization of deferred financing costs was $ 1.3 million , $ 1.2 million , and $ 0.8 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "program_re": "divide(subtract(26.4, 14.6), 14.6)", "model_input": [["text_6", "the weighted average interest rate on the loan was 2.5% ( 2.5 % ) and 2.0% ( 2.0 % ) for the years ended december 31 , 2017 and 2016 , respectively ."], ["text_8", "interest expense , net was $ 34.5 million , $ 26.4 million , and $ 14.6 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_10", "amortization of deferred financing costs was $ 1.3 million , $ 1.2 million , and $ 0.8 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."]]}, "answers": ["81%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001034", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in interest expense net from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "81%.", "rejected": "31%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UAA || what was the percentage change in interest expense net <TIME>?", "doc_prefix": "UAA", "base_question": "what was the percentage change in interest expense net <TIME>?", "original_question": "what was the percentage change in interest expense net from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"81%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "31%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UAA/2017/page_86.pdf-3", "qa": {"question": "what was the percentage change in interest expense net from 2015 to 2016?", "answer": "81%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [8], "steps": [{"op": "minus2-1", "arg1": "26.4", "arg2": "14.6", "res": "11.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "14.6", "res": "81%"}], "program": "subtract(26.4, 14.6), divide(#0, 14.6)", "gold_inds": {"text_8": "interest expense , net was $ 34.5 million , $ 26.4 million , and $ 14.6 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.80822, "tfidftopn": {"text_9": "interest expense includes the amortization of deferred financing costs , bank fees , capital and built-to-suit lease interest and interest expense under the credit and other long term debt facilities .", "text_10": "amortization of deferred financing costs was $ 1.3 million , $ 1.2 million , and $ 0.8 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "program_re": "divide(subtract(26.4, 14.6), 14.6)", "model_input": [["text_6", "the weighted average interest rate on the loan was 2.5% ( 2.5 % ) and 2.0% ( 2.0 % ) for the years ended december 31 , 2017 and 2016 , respectively ."], ["text_8", "interest expense , net was $ 34.5 million , $ 26.4 million , and $ 14.6 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_10", "amortization of deferred financing costs was $ 1.3 million , $ 1.2 million , and $ 0.8 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."]]}, "answers": ["81%"]}, "rejected_source": {"id": "UAA/2017/page_86.pdf-1", "qa": {"question": "what was the percentage change in interest expense net from 2016 to 2017?", "answer": "31%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [8], "steps": [{"op": "minus1-1", "arg1": "34.5", "arg2": "26.4", "res": "8.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "26.4", "res": "31%"}], "program": "subtract(34.5, 26.4), divide(#0, 26.4)", "gold_inds": {"text_8": "interest expense , net was $ 34.5 million , $ 26.4 million , and $ 14.6 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.30682, "tfidftopn": {"text_9": "interest expense includes the amortization of deferred financing costs , bank fees , capital and built-to-suit lease interest and interest expense under the credit and other long term debt facilities .", "text_6": "the weighted average interest rate on the loan was 2.5% ( 2.5 % ) and 2.0% ( 2.0 % ) for the years ended december 31 , 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(34.5, 26.4), 26.4)", "model_input": [["text_6", "the weighted average interest rate on the loan was 2.5% ( 2.5 % ) and 2.0% ( 2.0 % ) for the years ended december 31 , 2017 and 2016 , respectively ."], ["text_8", "interest expense , net was $ 34.5 million , $ 26.4 million , and $ 14.6 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_10", "amortization of deferred financing costs was $ 1.3 million , $ 1.2 million , and $ 0.8 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively ."]]}, "answers": ["31%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001035", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1439.", "rejected": "5126.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) <TIME>?", "doc_prefix": "UPS", "base_question": "what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) <TIME>?", "original_question": "what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1439": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "5126": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UPS/2017/page_58.pdf-4", "qa": {"question": "what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) from 2015 to 2016?", "answer": "1439", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2668", "arg2": "1229", "res": "1439"}], "program": "subtract(2668, 1229)", "gold_inds": {"table_3": "the pension and postretirement plan contributions ( ups-sponsored plans ) of 2017 is -7794 ( 7794 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2016 is -2668 ( 2668 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2015 is -1229 ( 1229 ) ;"}, "exe_ans": 1439.0, "tfidftopn": {"text_12": "2022 the remaining contributions from 2015 to 2017 were largely due to contributions to our international pension plans and u.s .", "text_9": "except for discretionary or accelerated fundings of our plans , contributions to our company- sponsored pension plans have largely varied based on whether any minimum funding requirements are present for individual pension plans ."}, "program_re": "subtract(2668, 1229)", "model_input": [["table_3", "the pension and postretirement plan contributions ( ups-sponsored plans ) of 2017 is -7794 ( 7794 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2016 is -2668 ( 2668 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2015 is -1229 ( 1229 ) ;"], ["text_11", "pension plans totaling $ 7.291 , $ 2.461 and $ 1.030 billion in 2017 , 2016 and 2015 , respectively ."], ["text_12", "2022 the remaining contributions from 2015 to 2017 were largely due to contributions to our international pension plans and u.s ."]]}, "answers": ["1439"]}, "rejected_source": {"id": "UPS/2017/page_58.pdf-2", "qa": {"question": "what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) from 2016 to 2017?", "answer": "5126", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7794", "arg2": "2668", "res": "5126"}], "program": "subtract(7794, 2668)", "gold_inds": {"table_3": "the pension and postretirement plan contributions ( ups-sponsored plans ) of 2017 is -7794 ( 7794 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2016 is -2668 ( 2668 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2015 is -1229 ( 1229 ) ;"}, "exe_ans": 5126.0, "tfidftopn": {"text_12": "2022 the remaining contributions from 2015 to 2017 were largely due to contributions to our international pension plans and u.s .", "text_9": "except for discretionary or accelerated fundings of our plans , contributions to our company- sponsored pension plans have largely varied based on whether any minimum funding requirements are present for individual pension plans ."}, "program_re": "subtract(7794, 2668)", "model_input": [["table_3", "the pension and postretirement plan contributions ( ups-sponsored plans ) of 2017 is -7794 ( 7794 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2016 is -2668 ( 2668 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2015 is -1229 ( 1229 ) ;"], ["text_11", "pension plans totaling $ 7.291 , $ 2.461 and $ 1.030 billion in 2017 , 2016 and 2015 , respectively ."], ["text_12", "2022 the remaining contributions from 2015 to 2017 were largely due to contributions to our international pension plans and u.s ."]]}, "answers": ["5126"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001036", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "5126.", "rejected": "1439.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) <TIME>?", "doc_prefix": "UPS", "base_question": "what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) <TIME>?", "original_question": "what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1439": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "5126": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UPS/2017/page_58.pdf-2", "qa": {"question": "what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) from 2016 to 2017?", "answer": "5126", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7794", "arg2": "2668", "res": "5126"}], "program": "subtract(7794, 2668)", "gold_inds": {"table_3": "the pension and postretirement plan contributions ( ups-sponsored plans ) of 2017 is -7794 ( 7794 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2016 is -2668 ( 2668 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2015 is -1229 ( 1229 ) ;"}, "exe_ans": 5126.0, "tfidftopn": {"text_12": "2022 the remaining contributions from 2015 to 2017 were largely due to contributions to our international pension plans and u.s .", "text_9": "except for discretionary or accelerated fundings of our plans , contributions to our company- sponsored pension plans have largely varied based on whether any minimum funding requirements are present for individual pension plans ."}, "program_re": "subtract(7794, 2668)", "model_input": [["table_3", "the pension and postretirement plan contributions ( ups-sponsored plans ) of 2017 is -7794 ( 7794 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2016 is -2668 ( 2668 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2015 is -1229 ( 1229 ) ;"], ["text_11", "pension plans totaling $ 7.291 , $ 2.461 and $ 1.030 billion in 2017 , 2016 and 2015 , respectively ."], ["text_12", "2022 the remaining contributions from 2015 to 2017 were largely due to contributions to our international pension plans and u.s ."]]}, "answers": ["5126"]}, "rejected_source": {"id": "UPS/2017/page_58.pdf-4", "qa": {"question": "what was the difference in millions of pension and postretirement plan contributions ( ups-sponsored plans ) from 2015 to 2016?", "answer": "1439", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2668", "arg2": "1229", "res": "1439"}], "program": "subtract(2668, 1229)", "gold_inds": {"table_3": "the pension and postretirement plan contributions ( ups-sponsored plans ) of 2017 is -7794 ( 7794 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2016 is -2668 ( 2668 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2015 is -1229 ( 1229 ) ;"}, "exe_ans": 1439.0, "tfidftopn": {"text_12": "2022 the remaining contributions from 2015 to 2017 were largely due to contributions to our international pension plans and u.s .", "text_9": "except for discretionary or accelerated fundings of our plans , contributions to our company- sponsored pension plans have largely varied based on whether any minimum funding requirements are present for individual pension plans ."}, "program_re": "subtract(2668, 1229)", "model_input": [["table_3", "the pension and postretirement plan contributions ( ups-sponsored plans ) of 2017 is -7794 ( 7794 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2016 is -2668 ( 2668 ) ; the pension and postretirement plan contributions ( ups-sponsored plans ) of 2015 is -1229 ( 1229 ) ;"], ["text_11", "pension plans totaling $ 7.291 , $ 2.461 and $ 1.030 billion in 2017 , 2016 and 2015 , respectively ."], ["text_12", "2022 the remaining contributions from 2015 to 2017 were largely due to contributions to our international pension plans and u.s ."]]}, "answers": ["1439"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001037", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: during 2016 what was the average price paid for the shares repurchased by the company?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "107.73.", "rejected": "90.73.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EW || <TIME> what was the average price paid for the shares repurchased by the company?", "doc_prefix": "EW", "base_question": "<TIME> what was the average price paid for the shares repurchased by the company?", "original_question": "during 2016 what was the average price paid for the shares repurchased by the company?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"107.73": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "90.73": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "EW/2016/page_92.pdf-3", "qa": {"question": "during 2016 what was the average price paid for the shares repurchased by the company?", "answer": "107.73", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "divide2-1", "arg1": "280.1", "arg2": "2.6", "res": "107.73"}], "program": "divide(280.1, 2.6)", "gold_inds": {"text_21": "during 2016 , 2015 , and 2014 , the company repurchased 7.3 million , 2.6 million , and 4.4 million shares , respectively , at an aggregate cost of $ 662.3 million , $ 280.1 million , and $ 300.9 million , respectively , including ."}, "exe_ans": 107.73077, "tfidftopn": {"text_20": "stock repurchased under these programs may be used to offset obligations under the company 2019s employee stock-based benefit programs and stock-based business acquisitions , and will reduce the total shares outstanding .", "text_3": "the following benefit payments , which reflect expected future service , as appropriate , at december 31 , 2016 , are expected to be paid ( in millions ) : ."}, "program_re": "divide(280.1, 2.6)", "model_input": [["table_2", "2017 the 2019 of $ 4.5 is 4.0 ;"], ["text_17", "common stock treasury stock in july 2014 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock ."], ["text_21", "during 2016 , 2015 , and 2014 , the company repurchased 7.3 million , 2.6 million , and 4.4 million shares , respectively , at an aggregate cost of $ 662.3 million , $ 280.1 million , and $ 300.9 million , respectively , including ."]]}, "answers": ["107.73"]}, "rejected_source": {"id": "EW/2016/page_92.pdf-4", "qa": {"question": "during 2016 what was the average price paid for the shares repurchased by the company?", "answer": "90.73", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "divide1-1", "arg1": "662.3", "arg2": "7.3", "res": "90.73"}], "program": "divide(662.3, 7.3)", "gold_inds": {"text_21": "during 2016 , 2015 , and 2014 , the company repurchased 7.3 million , 2.6 million , and 4.4 million shares , respectively , at an aggregate cost of $ 662.3 million , $ 280.1 million , and $ 300.9 million , respectively , including ."}, "exe_ans": 90.72603, "tfidftopn": {"text_20": "stock repurchased under these programs may be used to offset obligations under the company 2019s employee stock-based benefit programs and stock-based business acquisitions , and will reduce the total shares outstanding .", "text_3": "the following benefit payments , which reflect expected future service , as appropriate , at december 31 , 2016 , are expected to be paid ( in millions ) : ."}, "program_re": "divide(662.3, 7.3)", "model_input": [["table_2", "2017 the 2019 of $ 4.5 is 4.0 ;"], ["text_17", "common stock treasury stock in july 2014 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock ."], ["text_21", "during 2016 , 2015 , and 2014 , the company repurchased 7.3 million , 2.6 million , and 4.4 million shares , respectively , at an aggregate cost of $ 662.3 million , $ 280.1 million , and $ 300.9 million , respectively , including ."]]}, "answers": ["90.73"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001038", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: during 2016 what was the average price paid for the shares repurchased by the company?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "90.73.", "rejected": "107.73.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EW || <TIME> what was the average price paid for the shares repurchased by the company?", "doc_prefix": "EW", "base_question": "<TIME> what was the average price paid for the shares repurchased by the company?", "original_question": "during 2016 what was the average price paid for the shares repurchased by the company?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"107.73": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "90.73": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "EW/2016/page_92.pdf-4", "qa": {"question": "during 2016 what was the average price paid for the shares repurchased by the company?", "answer": "90.73", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "divide1-1", "arg1": "662.3", "arg2": "7.3", "res": "90.73"}], "program": "divide(662.3, 7.3)", "gold_inds": {"text_21": "during 2016 , 2015 , and 2014 , the company repurchased 7.3 million , 2.6 million , and 4.4 million shares , respectively , at an aggregate cost of $ 662.3 million , $ 280.1 million , and $ 300.9 million , respectively , including ."}, "exe_ans": 90.72603, "tfidftopn": {"text_20": "stock repurchased under these programs may be used to offset obligations under the company 2019s employee stock-based benefit programs and stock-based business acquisitions , and will reduce the total shares outstanding .", "text_3": "the following benefit payments , which reflect expected future service , as appropriate , at december 31 , 2016 , are expected to be paid ( in millions ) : ."}, "program_re": "divide(662.3, 7.3)", "model_input": [["table_2", "2017 the 2019 of $ 4.5 is 4.0 ;"], ["text_17", "common stock treasury stock in july 2014 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock ."], ["text_21", "during 2016 , 2015 , and 2014 , the company repurchased 7.3 million , 2.6 million , and 4.4 million shares , respectively , at an aggregate cost of $ 662.3 million , $ 280.1 million , and $ 300.9 million , respectively , including ."]]}, "answers": ["90.73"]}, "rejected_source": {"id": "EW/2016/page_92.pdf-3", "qa": {"question": "during 2016 what was the average price paid for the shares repurchased by the company?", "answer": "107.73", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "divide2-1", "arg1": "280.1", "arg2": "2.6", "res": "107.73"}], "program": "divide(280.1, 2.6)", "gold_inds": {"text_21": "during 2016 , 2015 , and 2014 , the company repurchased 7.3 million , 2.6 million , and 4.4 million shares , respectively , at an aggregate cost of $ 662.3 million , $ 280.1 million , and $ 300.9 million , respectively , including ."}, "exe_ans": 107.73077, "tfidftopn": {"text_20": "stock repurchased under these programs may be used to offset obligations under the company 2019s employee stock-based benefit programs and stock-based business acquisitions , and will reduce the total shares outstanding .", "text_3": "the following benefit payments , which reflect expected future service , as appropriate , at december 31 , 2016 , are expected to be paid ( in millions ) : ."}, "program_re": "divide(280.1, 2.6)", "model_input": [["table_2", "2017 the 2019 of $ 4.5 is 4.0 ;"], ["text_17", "common stock treasury stock in july 2014 , the board of directors approved a stock repurchase program authorizing the company to purchase up to $ 750.0 million of the company 2019s common stock ."], ["text_21", "during 2016 , 2015 , and 2014 , the company repurchased 7.3 million , 2.6 million , and 4.4 million shares , respectively , at an aggregate cost of $ 662.3 million , $ 280.1 million , and $ 300.9 million , respectively , including ."]]}, "answers": ["107.73"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001039", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total gross profit was due to food and ingredients in fiscal 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "18%.", "rejected": "19%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percentage of total gross profit was due to food and ingredients in fiscal <TIME>?", "doc_prefix": "CAG", "base_question": "what percentage of total gross profit was due to food and ingredients in fiscal <TIME>?", "original_question": "what percentage of total gross profit was due to food and ingredients in fiscal 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "19%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "CAG/2007/page_42.pdf-1", "qa": {"question": "what percentage of total gross profit was due to food and ingredients in fiscal 2005?", "answer": "18%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "512", "arg2": "2834", "res": "18%"}], "program": "divide(512, 2834)", "gold_inds": {"table_2": "reporting segment the food and ingredients of fiscal 2006 gross profit is 538 ; the food and ingredients of fiscal 2005 gross profit is 512 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 5% ( 5 % ) ;", "table_5": "reporting segment the total of fiscal 2006 gross profit is $ 2823 ; the total of fiscal 2005 gross profit is $ 2834 ; the total of % ( % ) increase/ ( decrease ) is 2014% ( 2014 % ) ;"}, "exe_ans": 0.18066, "tfidftopn": {"text_17": "food and ingredients gross profit for fiscal 2006 was $ 538 million , an increase of $ 26 million over the prior year ."}, "program_re": "divide(512, 2834)", "model_input": [["table_2", "reporting segment the food and ingredients of fiscal 2006 gross profit is 538 ; the food and ingredients of fiscal 2005 gross profit is 512 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 5% ( 5 % ) ;"], ["table_5", "reporting segment the total of fiscal 2006 gross profit is $ 2823 ; the total of fiscal 2005 gross profit is $ 2834 ; the total of % ( % ) increase/ ( decrease ) is 2014% ( 2014 % ) ;"], ["text_17", "food and ingredients gross profit for fiscal 2006 was $ 538 million , an increase of $ 26 million over the prior year ."]]}, "answers": ["18%"]}, "rejected_source": {"id": "CAG/2007/page_42.pdf-2", "qa": {"question": "what percentage of total gross profit was due to food and ingredients in fiscal 2006?", "answer": "19%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "538", "arg2": "2823", "res": "19%"}], "program": "divide(538, 2823)", "gold_inds": {"table_2": "reporting segment the food and ingredients of fiscal 2006 gross profit is 538 ; the food and ingredients of fiscal 2005 gross profit is 512 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 5% ( 5 % ) ;", "table_5": "reporting segment the total of fiscal 2006 gross profit is $ 2823 ; the total of fiscal 2005 gross profit is $ 2834 ; the total of % ( % ) increase/ ( decrease ) is 2014% ( 2014 % ) ;"}, "exe_ans": 0.19058, "tfidftopn": {"text_17": "food and ingredients gross profit for fiscal 2006 was $ 538 million , an increase of $ 26 million over the prior year ."}, "program_re": "divide(538, 2823)", "model_input": [["table_2", "reporting segment the food and ingredients of fiscal 2006 gross profit is 538 ; the food and ingredients of fiscal 2005 gross profit is 512 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 5% ( 5 % ) ;"], ["table_5", "reporting segment the total of fiscal 2006 gross profit is $ 2823 ; the total of fiscal 2005 gross profit is $ 2834 ; the total of % ( % ) increase/ ( decrease ) is 2014% ( 2014 % ) ;"], ["text_17", "food and ingredients gross profit for fiscal 2006 was $ 538 million , an increase of $ 26 million over the prior year ."]]}, "answers": ["19%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001040", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total gross profit was due to food and ingredients in fiscal 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "19%.", "rejected": "18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percentage of total gross profit was due to food and ingredients in fiscal <TIME>?", "doc_prefix": "CAG", "base_question": "what percentage of total gross profit was due to food and ingredients in fiscal <TIME>?", "original_question": "what percentage of total gross profit was due to food and ingredients in fiscal 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "19%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "CAG/2007/page_42.pdf-2", "qa": {"question": "what percentage of total gross profit was due to food and ingredients in fiscal 2006?", "answer": "19%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "538", "arg2": "2823", "res": "19%"}], "program": "divide(538, 2823)", "gold_inds": {"table_2": "reporting segment the food and ingredients of fiscal 2006 gross profit is 538 ; the food and ingredients of fiscal 2005 gross profit is 512 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 5% ( 5 % ) ;", "table_5": "reporting segment the total of fiscal 2006 gross profit is $ 2823 ; the total of fiscal 2005 gross profit is $ 2834 ; the total of % ( % ) increase/ ( decrease ) is 2014% ( 2014 % ) ;"}, "exe_ans": 0.19058, "tfidftopn": {"text_17": "food and ingredients gross profit for fiscal 2006 was $ 538 million , an increase of $ 26 million over the prior year ."}, "program_re": "divide(538, 2823)", "model_input": [["table_2", "reporting segment the food and ingredients of fiscal 2006 gross profit is 538 ; the food and ingredients of fiscal 2005 gross profit is 512 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 5% ( 5 % ) ;"], ["table_5", "reporting segment the total of fiscal 2006 gross profit is $ 2823 ; the total of fiscal 2005 gross profit is $ 2834 ; the total of % ( % ) increase/ ( decrease ) is 2014% ( 2014 % ) ;"], ["text_17", "food and ingredients gross profit for fiscal 2006 was $ 538 million , an increase of $ 26 million over the prior year ."]]}, "answers": ["19%"]}, "rejected_source": {"id": "CAG/2007/page_42.pdf-1", "qa": {"question": "what percentage of total gross profit was due to food and ingredients in fiscal 2005?", "answer": "18%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "512", "arg2": "2834", "res": "18%"}], "program": "divide(512, 2834)", "gold_inds": {"table_2": "reporting segment the food and ingredients of fiscal 2006 gross profit is 538 ; the food and ingredients of fiscal 2005 gross profit is 512 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 5% ( 5 % ) ;", "table_5": "reporting segment the total of fiscal 2006 gross profit is $ 2823 ; the total of fiscal 2005 gross profit is $ 2834 ; the total of % ( % ) increase/ ( decrease ) is 2014% ( 2014 % ) ;"}, "exe_ans": 0.18066, "tfidftopn": {"text_17": "food and ingredients gross profit for fiscal 2006 was $ 538 million , an increase of $ 26 million over the prior year ."}, "program_re": "divide(512, 2834)", "model_input": [["table_2", "reporting segment the food and ingredients of fiscal 2006 gross profit is 538 ; the food and ingredients of fiscal 2005 gross profit is 512 ; the food and ingredients of % ( % ) increase/ ( decrease ) is 5% ( 5 % ) ;"], ["table_5", "reporting segment the total of fiscal 2006 gross profit is $ 2823 ; the total of fiscal 2005 gross profit is $ 2834 ; the total of % ( % ) increase/ ( decrease ) is 2014% ( 2014 % ) ;"], ["text_17", "food and ingredients gross profit for fiscal 2006 was $ 538 million , an increase of $ 26 million over the prior year ."]]}, "answers": ["18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001041", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-1.4%.", "rejected": "-22.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1.4%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-6.6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-22.4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2014/page_106.pdf-4", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "answer": "-1.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29497", "arg2": "29905", "res": "-408"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29905", "res": "-1.4%"}], "program": "subtract(29497, 29905), divide(#0, 29905)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"}, "exe_ans": -0.01364, "tfidftopn": {"text_26": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_2": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "divide(subtract(29497, 29905), 29905)", "model_input": [["text_26", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_27", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"]]}, "answers": ["-1.4%"]}, "rejected_source": {"id": "RE/2015/page_110.pdf-3", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "answer": "-22.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22878", "arg2": "29497", "res": "-6619"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29497", "res": "-22.4%"}], "program": "subtract(22878, 29497), divide(#0, 29497)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"}, "exe_ans": -0.2244, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "certain reclassifications and format changes have been made to prior years 2019 amounts to conform to the 2015 presentation ."}, "program_re": "divide(subtract(22878, 29497), 29497)", "model_input": [["text_27", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"]]}, "answers": ["-22.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001042", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-1.4%.", "rejected": "-6.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1.4%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-6.6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-22.4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2014/page_106.pdf-4", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "answer": "-1.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29497", "arg2": "29905", "res": "-408"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29905", "res": "-1.4%"}], "program": "subtract(29497, 29905), divide(#0, 29905)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"}, "exe_ans": -0.01364, "tfidftopn": {"text_26": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_2": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "divide(subtract(29497, 29905), 29905)", "model_input": [["text_26", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_27", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"]]}, "answers": ["-1.4%"]}, "rejected_source": {"id": "RE/2013/page_109.pdf-2", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables in 2013?", "answer": "-6.6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29905", "arg2": "32011", "res": "-2106"}, {"op": "divide2-2", "arg1": "#0", "arg2": "32011", "res": "-6.6%"}], "program": "subtract(29905, 32011), divide(#0, 32011)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"}, "exe_ans": -0.06579, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."}, "program_re": "divide(subtract(29905, 32011), 32011)", "model_input": [["text_0", "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"]]}, "answers": ["-6.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001043", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-22.4%.", "rejected": "-1.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1.4%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-6.6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-22.4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2015/page_110.pdf-3", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "answer": "-22.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22878", "arg2": "29497", "res": "-6619"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29497", "res": "-22.4%"}], "program": "subtract(22878, 29497), divide(#0, 29497)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"}, "exe_ans": -0.2244, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "certain reclassifications and format changes have been made to prior years 2019 amounts to conform to the 2015 presentation ."}, "program_re": "divide(subtract(22878, 29497), 29497)", "model_input": [["text_27", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"]]}, "answers": ["-22.4%"]}, "rejected_source": {"id": "RE/2014/page_106.pdf-4", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "answer": "-1.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29497", "arg2": "29905", "res": "-408"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29905", "res": "-1.4%"}], "program": "subtract(29497, 29905), divide(#0, 29905)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"}, "exe_ans": -0.01364, "tfidftopn": {"text_26": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_2": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "divide(subtract(29497, 29905), 29905)", "model_input": [["text_26", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_27", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"]]}, "answers": ["-1.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001044", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-22.4%.", "rejected": "-6.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1.4%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-6.6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-22.4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2015/page_110.pdf-3", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "answer": "-22.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22878", "arg2": "29497", "res": "-6619"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29497", "res": "-22.4%"}], "program": "subtract(22878, 29497), divide(#0, 29497)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"}, "exe_ans": -0.2244, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "certain reclassifications and format changes have been made to prior years 2019 amounts to conform to the 2015 presentation ."}, "program_re": "divide(subtract(22878, 29497), 29497)", "model_input": [["text_27", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"]]}, "answers": ["-22.4%"]}, "rejected_source": {"id": "RE/2013/page_109.pdf-2", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables in 2013?", "answer": "-6.6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29905", "arg2": "32011", "res": "-2106"}, {"op": "divide2-2", "arg1": "#0", "arg2": "32011", "res": "-6.6%"}], "program": "subtract(29905, 32011), divide(#0, 32011)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"}, "exe_ans": -0.06579, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."}, "program_re": "divide(subtract(29905, 32011), 32011)", "model_input": [["text_0", "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"]]}, "answers": ["-6.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001045", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of reinsurance receivables and premium receivables in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-6.6%.", "rejected": "-1.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1.4%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-6.6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-22.4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2013/page_109.pdf-2", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables in 2013?", "answer": "-6.6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29905", "arg2": "32011", "res": "-2106"}, {"op": "divide2-2", "arg1": "#0", "arg2": "32011", "res": "-6.6%"}], "program": "subtract(29905, 32011), divide(#0, 32011)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"}, "exe_ans": -0.06579, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."}, "program_re": "divide(subtract(29905, 32011), 32011)", "model_input": [["text_0", "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"]]}, "answers": ["-6.6%"]}, "rejected_source": {"id": "RE/2014/page_106.pdf-4", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2013 to 2014?", "answer": "-1.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "29497", "arg2": "29905", "res": "-408"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29905", "res": "-1.4%"}], "program": "subtract(29497, 29905), divide(#0, 29905)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"}, "exe_ans": -0.01364, "tfidftopn": {"text_26": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_2": "fixed maturity and equity security investments available for sale , at market value , reflect unrealized appreciation and depreciation , as a result of temporary changes in market value during the period , in shareholders 2019 equity , net of income taxes in 201caccumulated other comprehensive income ( loss ) 201d in the consolidated balance sheets ."}, "program_re": "divide(subtract(29497, 29905), 29905)", "model_input": [["text_26", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_27", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ; the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ;"]]}, "answers": ["-1.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001046", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the balance of reinsurance receivables and premium receivables in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-6.6%.", "rejected": "-22.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "doc_prefix": "RE", "base_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables <TIME>?", "original_question": "what is the percentage change in the balance of reinsurance receivables and premium receivables in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1.4%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-6.6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-22.4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "RE/2013/page_109.pdf-2", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables in 2013?", "answer": "-6.6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "29905", "arg2": "32011", "res": "-2106"}, {"op": "divide2-2", "arg1": "#0", "arg2": "32011", "res": "-6.6%"}], "program": "subtract(29905, 32011), divide(#0, 32011)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"}, "exe_ans": -0.06579, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."}, "program_re": "divide(subtract(29905, 32011), 32011)", "model_input": [["text_0", "in addition , the company has reclassified the following amounts from 201cdistributions from other invested assets 201d included in cash flows from investing activities to 201cdistribution of limited partnership income 201d included in cash flows from operations for interim reporting periods of 2013 : $ 33686 thousand for the three months ended march 31 , 2013 ; $ 9409 thousand and $ 43095 thousand for the three months and six months ended june 30 , 2013 , respectively ; and $ 5638 thousand and $ 48733 thousand for the three months and nine months ended september 30 , 2013 , respectively ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2013 is $ 29905 ; the reinsurance receivables and premium receivables of years ended december 31 , 2012 is $ 32011 ;"]]}, "answers": ["-6.6%"]}, "rejected_source": {"id": "RE/2015/page_110.pdf-3", "qa": {"question": "what is the percentage change in the balance of reinsurance receivables and premium receivables from 2014 to 2015?", "answer": "-22.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "22878", "arg2": "29497", "res": "-6619"}, {"op": "divide1-2", "arg1": "#0", "arg2": "29497", "res": "-22.4%"}], "program": "subtract(22878, 29497), divide(#0, 29497)", "gold_inds": {"table_1": "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"}, "exe_ans": -0.2244, "tfidftopn": {"text_27": "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances .", "text_0": "certain reclassifications and format changes have been made to prior years 2019 amounts to conform to the 2015 presentation ."}, "program_re": "divide(subtract(22878, 29497), 29497)", "model_input": [["text_27", "the company provides reserves for uncollectible reinsurance recoverable and premium receivable balances based on management 2019s assessment of the collectability of the outstanding balances ."], ["text_28", "such reserves are presented in the table below for the periods indicated. ."], ["table_1", "( dollars in thousands ) the reinsurance receivables and premium receivables of years ended december 31 , 2015 is $ 22878 ; the reinsurance receivables and premium receivables of years ended december 31 , 2014 is $ 29497 ;"]]}, "answers": ["-22.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001047", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage difference in future minimum rental commitments as of december 31 , 2013 between 2014 and 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-2%.", "rejected": "-5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MS || what is the percentage difference in future minimum rental commitments as of december 31 , <TIME> <TIME>?", "doc_prefix": "MS", "base_question": "what is the percentage difference in future minimum rental commitments as of december 31 , <TIME> <TIME>?", "original_question": "what is the percentage difference in future minimum rental commitments as of december 31 , 2013 between 2014 and 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}], "-5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016"}]}, "chosen_source": {"id": "MS/2013/page_240.pdf-4", "qa": {"question": "what is the percentage difference in future minimum rental commitments as of december 31 , 2013 between 2014 and 2015?", "answer": "-2%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "656", "arg2": "672", "res": "-16"}, {"op": "divide1-2", "arg1": "#0", "arg2": "672", "res": "-2%"}], "program": "subtract(656, 672), divide(#0, 672)", "gold_inds": {"table_1": "year ended the 2014 of operating premises leases is $ 672 ;", "table_2": "year ended the 2015 of operating premises leases is 656 ;"}, "exe_ans": -0.02381, "tfidftopn": {"text_21": "at december 31 , 2013 , future minimum rental commitments under such leases ( net of subleases , principally on office rentals ) were as follows ( dollars in millions ) : year ended operating premises leases ."}, "program_re": "divide(subtract(656, 672), 672)", "model_input": [["text_21", "at december 31 , 2013 , future minimum rental commitments under such leases ( net of subleases , principally on office rentals ) were as follows ( dollars in millions ) : year ended operating premises leases ."], ["table_1", "year ended the 2014 of operating premises leases is $ 672 ;"], ["table_2", "year ended the 2015 of operating premises leases is 656 ;"]]}, "answers": ["-2%"]}, "rejected_source": {"id": "MS/2013/page_240.pdf-3", "qa": {"question": "what is the percentage difference in future minimum rental commitments as of december 31 , 2013 between 2015 and 2016?", "answer": "-5%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "621", "arg2": "656", "res": "-35"}, {"op": "divide2-2", "arg1": "#0", "arg2": "656", "res": "-5%"}], "program": "subtract(621, 656), divide(#0, 656)", "gold_inds": {"table_2": "year ended the 2015 of operating premises leases is 656 ;", "table_3": "year ended the 2016 of operating premises leases is 621 ;"}, "exe_ans": -0.05335, "tfidftopn": {"text_21": "at december 31 , 2013 , future minimum rental commitments under such leases ( net of subleases , principally on office rentals ) were as follows ( dollars in millions ) : year ended operating premises leases ."}, "program_re": "divide(subtract(621, 656), 656)", "model_input": [["text_21", "at december 31 , 2013 , future minimum rental commitments under such leases ( net of subleases , principally on office rentals ) were as follows ( dollars in millions ) : year ended operating premises leases ."], ["table_2", "year ended the 2015 of operating premises leases is 656 ;"], ["table_3", "year ended the 2016 of operating premises leases is 621 ;"]]}, "answers": ["-5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001048", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage difference in future minimum rental commitments as of december 31 , 2013 between 2015 and 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-5%.", "rejected": "-2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MS || what is the percentage difference in future minimum rental commitments as of december 31 , <TIME> <TIME>?", "doc_prefix": "MS", "base_question": "what is the percentage difference in future minimum rental commitments as of december 31 , <TIME> <TIME>?", "original_question": "what is the percentage difference in future minimum rental commitments as of december 31 , 2013 between 2015 and 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}], "-5%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2015 and 2016"}]}, "chosen_source": {"id": "MS/2013/page_240.pdf-3", "qa": {"question": "what is the percentage difference in future minimum rental commitments as of december 31 , 2013 between 2015 and 2016?", "answer": "-5%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "621", "arg2": "656", "res": "-35"}, {"op": "divide2-2", "arg1": "#0", "arg2": "656", "res": "-5%"}], "program": "subtract(621, 656), divide(#0, 656)", "gold_inds": {"table_2": "year ended the 2015 of operating premises leases is 656 ;", "table_3": "year ended the 2016 of operating premises leases is 621 ;"}, "exe_ans": -0.05335, "tfidftopn": {"text_21": "at december 31 , 2013 , future minimum rental commitments under such leases ( net of subleases , principally on office rentals ) were as follows ( dollars in millions ) : year ended operating premises leases ."}, "program_re": "divide(subtract(621, 656), 656)", "model_input": [["text_21", "at december 31 , 2013 , future minimum rental commitments under such leases ( net of subleases , principally on office rentals ) were as follows ( dollars in millions ) : year ended operating premises leases ."], ["table_2", "year ended the 2015 of operating premises leases is 656 ;"], ["table_3", "year ended the 2016 of operating premises leases is 621 ;"]]}, "answers": ["-5%"]}, "rejected_source": {"id": "MS/2013/page_240.pdf-4", "qa": {"question": "what is the percentage difference in future minimum rental commitments as of december 31 , 2013 between 2014 and 2015?", "answer": "-2%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "656", "arg2": "672", "res": "-16"}, {"op": "divide1-2", "arg1": "#0", "arg2": "672", "res": "-2%"}], "program": "subtract(656, 672), divide(#0, 672)", "gold_inds": {"table_1": "year ended the 2014 of operating premises leases is $ 672 ;", "table_2": "year ended the 2015 of operating premises leases is 656 ;"}, "exe_ans": -0.02381, "tfidftopn": {"text_21": "at december 31 , 2013 , future minimum rental commitments under such leases ( net of subleases , principally on office rentals ) were as follows ( dollars in millions ) : year ended operating premises leases ."}, "program_re": "divide(subtract(656, 672), 672)", "model_input": [["text_21", "at december 31 , 2013 , future minimum rental commitments under such leases ( net of subleases , principally on office rentals ) were as follows ( dollars in millions ) : year ended operating premises leases ."], ["table_1", "year ended the 2014 of operating premises leases is $ 672 ;"], ["table_2", "year ended the 2015 of operating premises leases is 656 ;"]]}, "answers": ["-2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001049", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of weighted average shares outstanding for diluted net earnings per share between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-12.7.", "rejected": "-4.2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the change in millions of weighted average shares outstanding for diluted net earnings per share <TIME>?", "doc_prefix": "ZBH", "base_question": "what was the change in millions of weighted average shares outstanding for diluted net earnings per share <TIME>?", "original_question": "what was the change in millions of weighted average shares outstanding for diluted net earnings per share between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-12.7": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "-4.2": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}]}, "chosen_source": {"id": "ZBH/2013/page_68.pdf-1", "qa": {"question": "what was the change in millions of weighted average shares outstanding for diluted net earnings per share between 2011 and 2012?", "answer": "-12.7", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "176.0", "arg2": "188.7", "res": "-12.7"}], "program": "subtract(176.0, 188.7)", "gold_inds": {"table_3": "for the years ended december 31 , the weighted average shares outstanding for diluted net earnings per share of 2013 is 171.8 ; the weighted average shares outstanding for diluted net earnings per share of 2012 is 176.0 ; the weighted average shares outstanding for diluted net earnings per share of 2011 is 188.7 ;"}, "exe_ans": -12.7, "tfidftopn": {"table_1": "for the years ended december 31, The weighted average shares outstanding for basic net earnings per share of 2013 is 169.6 ; The weighted average shares outstanding for basic net earnings per share of 2012 is 174.9 ; The weighted average shares outstanding for basic net earnings per share of 2011 is 187.6 ;", "text_13": "weighted average shares outstanding for basic net earnings per share 169.6 174.9 187.6 effect of dilutive stock options and other equity awards 2.2 1.1 1.1 weighted average shares outstanding for diluted net earnings per share 171.8 176.0 188.7 for the year ended december 31 , 2013 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "subtract(176.0, 188.7)", "model_input": [["text_12", "the following is a reconciliation of weighted average shares for the basic and diluted share computations ( in millions ) : ."], ["table_1", "for the years ended december 31, the weighted average shares outstanding for basic net earnings per share of 2013 is 169.6 ; the weighted average shares outstanding for basic net earnings per share of 2012 is 174.9 ; the weighted average shares outstanding for basic net earnings per share of 2011 is 187.6 ;"], ["table_3", "for the years ended december 31 , the weighted average shares outstanding for diluted net earnings per share of 2013 is 171.8 ; the weighted average shares outstanding for diluted net earnings per share of 2012 is 176.0 ; the weighted average shares outstanding for diluted net earnings per share of 2011 is 188.7 ;"]]}, "answers": ["-12.7"]}, "rejected_source": {"id": "ZBH/2013/page_68.pdf-2", "qa": {"question": "what was the change in millions of weighted average shares outstanding for diluted net earnings per share between 2012 and 2013?", "answer": "-4.2", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "171.8", "arg2": "176.0", "res": "-4.2"}], "program": "subtract(171.8, 176.0)", "gold_inds": {"table_3": "for the years ended december 31 , the weighted average shares outstanding for diluted net earnings per share of 2013 is 171.8 ; the weighted average shares outstanding for diluted net earnings per share of 2012 is 176.0 ; the weighted average shares outstanding for diluted net earnings per share of 2011 is 188.7 ;"}, "exe_ans": -4.2, "tfidftopn": {"table_1": "for the years ended december 31, The weighted average shares outstanding for basic net earnings per share of 2013 is 169.6 ; The weighted average shares outstanding for basic net earnings per share of 2012 is 174.9 ; The weighted average shares outstanding for basic net earnings per share of 2011 is 187.6 ;", "text_13": "weighted average shares outstanding for basic net earnings per share 169.6 174.9 187.6 effect of dilutive stock options and other equity awards 2.2 1.1 1.1 weighted average shares outstanding for diluted net earnings per share 171.8 176.0 188.7 for the year ended december 31 , 2013 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "subtract(171.8, 176.0)", "model_input": [["table_1", "for the years ended december 31, the weighted average shares outstanding for basic net earnings per share of 2013 is 169.6 ; the weighted average shares outstanding for basic net earnings per share of 2012 is 174.9 ; the weighted average shares outstanding for basic net earnings per share of 2011 is 187.6 ;"], ["table_3", "for the years ended december 31 , the weighted average shares outstanding for diluted net earnings per share of 2013 is 171.8 ; the weighted average shares outstanding for diluted net earnings per share of 2012 is 176.0 ; the weighted average shares outstanding for diluted net earnings per share of 2011 is 188.7 ;"], ["text_13", "weighted average shares outstanding for basic net earnings per share 169.6 174.9 187.6 effect of dilutive stock options and other equity awards 2.2 1.1 1.1 weighted average shares outstanding for diluted net earnings per share 171.8 176.0 188.7 for the year ended december 31 , 2013 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."]]}, "answers": ["-4.2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001050", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of weighted average shares outstanding for diluted net earnings per share between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-4.2.", "rejected": "-12.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what was the change in millions of weighted average shares outstanding for diluted net earnings per share <TIME>?", "doc_prefix": "ZBH", "base_question": "what was the change in millions of weighted average shares outstanding for diluted net earnings per share <TIME>?", "original_question": "what was the change in millions of weighted average shares outstanding for diluted net earnings per share between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-12.7": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "-4.2": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}]}, "chosen_source": {"id": "ZBH/2013/page_68.pdf-2", "qa": {"question": "what was the change in millions of weighted average shares outstanding for diluted net earnings per share between 2012 and 2013?", "answer": "-4.2", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "171.8", "arg2": "176.0", "res": "-4.2"}], "program": "subtract(171.8, 176.0)", "gold_inds": {"table_3": "for the years ended december 31 , the weighted average shares outstanding for diluted net earnings per share of 2013 is 171.8 ; the weighted average shares outstanding for diluted net earnings per share of 2012 is 176.0 ; the weighted average shares outstanding for diluted net earnings per share of 2011 is 188.7 ;"}, "exe_ans": -4.2, "tfidftopn": {"table_1": "for the years ended december 31, The weighted average shares outstanding for basic net earnings per share of 2013 is 169.6 ; The weighted average shares outstanding for basic net earnings per share of 2012 is 174.9 ; The weighted average shares outstanding for basic net earnings per share of 2011 is 187.6 ;", "text_13": "weighted average shares outstanding for basic net earnings per share 169.6 174.9 187.6 effect of dilutive stock options and other equity awards 2.2 1.1 1.1 weighted average shares outstanding for diluted net earnings per share 171.8 176.0 188.7 for the year ended december 31 , 2013 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "subtract(171.8, 176.0)", "model_input": [["table_1", "for the years ended december 31, the weighted average shares outstanding for basic net earnings per share of 2013 is 169.6 ; the weighted average shares outstanding for basic net earnings per share of 2012 is 174.9 ; the weighted average shares outstanding for basic net earnings per share of 2011 is 187.6 ;"], ["table_3", "for the years ended december 31 , the weighted average shares outstanding for diluted net earnings per share of 2013 is 171.8 ; the weighted average shares outstanding for diluted net earnings per share of 2012 is 176.0 ; the weighted average shares outstanding for diluted net earnings per share of 2011 is 188.7 ;"], ["text_13", "weighted average shares outstanding for basic net earnings per share 169.6 174.9 187.6 effect of dilutive stock options and other equity awards 2.2 1.1 1.1 weighted average shares outstanding for diluted net earnings per share 171.8 176.0 188.7 for the year ended december 31 , 2013 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."]]}, "answers": ["-4.2"]}, "rejected_source": {"id": "ZBH/2013/page_68.pdf-1", "qa": {"question": "what was the change in millions of weighted average shares outstanding for diluted net earnings per share between 2011 and 2012?", "answer": "-12.7", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "176.0", "arg2": "188.7", "res": "-12.7"}], "program": "subtract(176.0, 188.7)", "gold_inds": {"table_3": "for the years ended december 31 , the weighted average shares outstanding for diluted net earnings per share of 2013 is 171.8 ; the weighted average shares outstanding for diluted net earnings per share of 2012 is 176.0 ; the weighted average shares outstanding for diluted net earnings per share of 2011 is 188.7 ;"}, "exe_ans": -12.7, "tfidftopn": {"table_1": "for the years ended december 31, The weighted average shares outstanding for basic net earnings per share of 2013 is 169.6 ; The weighted average shares outstanding for basic net earnings per share of 2012 is 174.9 ; The weighted average shares outstanding for basic net earnings per share of 2011 is 187.6 ;", "text_13": "weighted average shares outstanding for basic net earnings per share 169.6 174.9 187.6 effect of dilutive stock options and other equity awards 2.2 1.1 1.1 weighted average shares outstanding for diluted net earnings per share 171.8 176.0 188.7 for the year ended december 31 , 2013 , an average of 3.1 million options to purchase shares of common stock were not included in the computation of diluted earnings per share as the exercise prices of these options were greater than the average market price of the common stock ."}, "program_re": "subtract(176.0, 188.7)", "model_input": [["text_12", "the following is a reconciliation of weighted average shares for the basic and diluted share computations ( in millions ) : ."], ["table_1", "for the years ended december 31, the weighted average shares outstanding for basic net earnings per share of 2013 is 169.6 ; the weighted average shares outstanding for basic net earnings per share of 2012 is 174.9 ; the weighted average shares outstanding for basic net earnings per share of 2011 is 187.6 ;"], ["table_3", "for the years ended december 31 , the weighted average shares outstanding for diluted net earnings per share of 2013 is 171.8 ; the weighted average shares outstanding for diluted net earnings per share of 2012 is 176.0 ; the weighted average shares outstanding for diluted net earnings per share of 2011 is 188.7 ;"]]}, "answers": ["-12.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001051", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by what percentage did grant date fair value per share increase from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "36.6%.", "rejected": "54.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AWK || by what percentage did grant date fair value per share increase <TIME>?", "doc_prefix": "AWK", "base_question": "by what percentage did grant date fair value per share increase <TIME>?", "original_question": "by what percentage did grant date fair value per share increase from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"54.7%": [{"start": "2013-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2013 to 2015"}], "36.6%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "AWK/2015/page_117.pdf-2", "qa": {"question": "by what percentage did grant date fair value per share increase from 2014 to 2015?", "answer": "36.6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "62.10", "arg2": "45.45", "res": "16.65"}, {"op": "divide2-2", "arg1": "#0", "arg2": "45.45", "res": "36.6%"}], "program": "subtract(62.10, 45.45), divide(#0, 45.45)", "gold_inds": {"table_4": "the grant date fair value per share of 2015 is $ 62.10 ; the grant date fair value per share of 2014 is $ 45.45 ; the grant date fair value per share of 2013 is $ 40.13 ;"}, "exe_ans": 0.36634, "tfidftopn": {"text_20": "the total grant date fair value of rsus vested was $ 12 , $ 11 and $ 9 for the years ended december 31 , 2015 , 2014 and 2013. .", "text_9": "because these rsus vested on the grant date , the total grant date fair value was recorded in operation and maintenance expense included in the expense table above on the grant date ."}, "program_re": "divide(subtract(62.10, 45.45), 45.45)", "model_input": [["text_16", "the following table presents the weighted-average assumptions used in the monte carlo simulation and the weighted-average grant date fair values of rsus granted for the years ended december 31: ."], ["table_4", "the grant date fair value per share of 2015 is $ 62.10 ; the grant date fair value per share of 2014 is $ 45.45 ; the grant date fair value per share of 2013 is $ 40.13 ;"], ["text_20", "the total grant date fair value of rsus vested was $ 12 , $ 11 and $ 9 for the years ended december 31 , 2015 , 2014 and 2013. ."]]}, "answers": ["36.6%"]}, "rejected_source": {"id": "AWK/2015/page_117.pdf-1", "qa": {"question": "by what percentage did grant date fair value per share increase from 2013 to 2015?", "answer": "54.7%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "62.10", "arg2": "40.13", "res": "21.97"}, {"op": "divide1-2", "arg1": "#0", "arg2": "40.13", "res": "54.7%"}], "program": "subtract(62.10, 40.13), divide(#0, 40.13)", "gold_inds": {"table_4": "the grant date fair value per share of 2015 is $ 62.10 ; the grant date fair value per share of 2014 is $ 45.45 ; the grant date fair value per share of 2013 is $ 40.13 ;"}, "exe_ans": 0.54747, "tfidftopn": {"text_20": "the total grant date fair value of rsus vested was $ 12 , $ 11 and $ 9 for the years ended december 31 , 2015 , 2014 and 2013. .", "text_9": "because these rsus vested on the grant date , the total grant date fair value was recorded in operation and maintenance expense included in the expense table above on the grant date ."}, "program_re": "divide(subtract(62.10, 40.13), 40.13)", "model_input": [["text_16", "the following table presents the weighted-average assumptions used in the monte carlo simulation and the weighted-average grant date fair values of rsus granted for the years ended december 31: ."], ["table_4", "the grant date fair value per share of 2015 is $ 62.10 ; the grant date fair value per share of 2014 is $ 45.45 ; the grant date fair value per share of 2013 is $ 40.13 ;"], ["text_20", "the total grant date fair value of rsus vested was $ 12 , $ 11 and $ 9 for the years ended december 31 , 2015 , 2014 and 2013. ."]]}, "answers": ["54.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001052", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by what percentage did grant date fair value per share increase from 2013 to 2015?\nReference time interval: 2013-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "54.7%.", "rejected": "36.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AWK || by what percentage did grant date fair value per share increase <TIME>?", "doc_prefix": "AWK", "base_question": "by what percentage did grant date fair value per share increase <TIME>?", "original_question": "by what percentage did grant date fair value per share increase from 2013 to 2015?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2013 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"54.7%": [{"start": "2013-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2013 to 2015"}], "36.6%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "AWK/2015/page_117.pdf-1", "qa": {"question": "by what percentage did grant date fair value per share increase from 2013 to 2015?", "answer": "54.7%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "62.10", "arg2": "40.13", "res": "21.97"}, {"op": "divide1-2", "arg1": "#0", "arg2": "40.13", "res": "54.7%"}], "program": "subtract(62.10, 40.13), divide(#0, 40.13)", "gold_inds": {"table_4": "the grant date fair value per share of 2015 is $ 62.10 ; the grant date fair value per share of 2014 is $ 45.45 ; the grant date fair value per share of 2013 is $ 40.13 ;"}, "exe_ans": 0.54747, "tfidftopn": {"text_20": "the total grant date fair value of rsus vested was $ 12 , $ 11 and $ 9 for the years ended december 31 , 2015 , 2014 and 2013. .", "text_9": "because these rsus vested on the grant date , the total grant date fair value was recorded in operation and maintenance expense included in the expense table above on the grant date ."}, "program_re": "divide(subtract(62.10, 40.13), 40.13)", "model_input": [["text_16", "the following table presents the weighted-average assumptions used in the monte carlo simulation and the weighted-average grant date fair values of rsus granted for the years ended december 31: ."], ["table_4", "the grant date fair value per share of 2015 is $ 62.10 ; the grant date fair value per share of 2014 is $ 45.45 ; the grant date fair value per share of 2013 is $ 40.13 ;"], ["text_20", "the total grant date fair value of rsus vested was $ 12 , $ 11 and $ 9 for the years ended december 31 , 2015 , 2014 and 2013. ."]]}, "answers": ["54.7%"]}, "rejected_source": {"id": "AWK/2015/page_117.pdf-2", "qa": {"question": "by what percentage did grant date fair value per share increase from 2014 to 2015?", "answer": "36.6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "62.10", "arg2": "45.45", "res": "16.65"}, {"op": "divide2-2", "arg1": "#0", "arg2": "45.45", "res": "36.6%"}], "program": "subtract(62.10, 45.45), divide(#0, 45.45)", "gold_inds": {"table_4": "the grant date fair value per share of 2015 is $ 62.10 ; the grant date fair value per share of 2014 is $ 45.45 ; the grant date fair value per share of 2013 is $ 40.13 ;"}, "exe_ans": 0.36634, "tfidftopn": {"text_20": "the total grant date fair value of rsus vested was $ 12 , $ 11 and $ 9 for the years ended december 31 , 2015 , 2014 and 2013. .", "text_9": "because these rsus vested on the grant date , the total grant date fair value was recorded in operation and maintenance expense included in the expense table above on the grant date ."}, "program_re": "divide(subtract(62.10, 45.45), 45.45)", "model_input": [["text_16", "the following table presents the weighted-average assumptions used in the monte carlo simulation and the weighted-average grant date fair values of rsus granted for the years ended december 31: ."], ["table_4", "the grant date fair value per share of 2015 is $ 62.10 ; the grant date fair value per share of 2014 is $ 45.45 ; the grant date fair value per share of 2013 is $ 40.13 ;"], ["text_20", "the total grant date fair value of rsus vested was $ 12 , $ 11 and $ 9 for the years ended december 31 , 2015 , 2014 and 2013. ."]]}, "answers": ["36.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001053", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the increase in rent expense from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-14.4%.", "rejected": "15.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what is the increase in rent expense <TIME>?", "doc_prefix": "FIS", "base_question": "what is the increase in rent expense <TIME>?", "original_question": "what is the increase in rent expense from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-14.4%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "15.9%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "FIS/2010/page_89.pdf-2", "qa": {"question": "what is the increase in rent expense from 2008 to 2009?", "answer": "-14.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "minus2-1", "arg1": "100.2", "arg2": "117.0", "res": "-16.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "117.0", "res": "-14.4%"}], "program": "subtract(100.2, 117.0), divide(#0, 117.0)", "gold_inds": {"text_2": "rent expense incurred under all operating leases during the years ended december 31 , 2010 , 2009 and 2008 was $ 116.1 million , $ 100.2 million and $ 117.0 million , respectively ."}, "exe_ans": -0.14359, "tfidftopn": {"text_3": "included in discontinued operations in the consolidated statements of earnings was rent expense of $ 2.0 million , $ 1.8 million and $ 17.0 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively .", "text_14": "included in discontinued operations in the consolidated statements of earnings was expense of $ 0.1 million and $ 3.0 million for the years ended december 31 , 2009 and 2008 , respectively ."}, "program_re": "divide(subtract(100.2, 117.0), 117.0)", "model_input": [["text_2", "rent expense incurred under all operating leases during the years ended december 31 , 2010 , 2009 and 2008 was $ 116.1 million , $ 100.2 million and $ 117.0 million , respectively ."], ["text_3", "included in discontinued operations in the consolidated statements of earnings was rent expense of $ 2.0 million , $ 1.8 million and $ 17.0 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."], ["text_13", "the company recorded an expense of $ 14.3 million , $ 12.4 million and $ 14.3 million , respectively , for the years ended december 31 , 2010 , 2009 and 2008 , relating to the participation of fis employees in the espp ."]]}, "answers": ["-14.4%"]}, "rejected_source": {"id": "FIS/2010/page_89.pdf-1", "qa": {"question": "what is the increase in rent expense from 2009 to 2010?", "answer": "15.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "116.1", "arg2": "100.2", "res": "15.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100.2", "res": "15.9%"}], "program": "subtract(116.1, 100.2), divide(#0, 100.2)", "gold_inds": {"text_2": "rent expense incurred under all operating leases during the years ended december 31 , 2010 , 2009 and 2008 was $ 116.1 million , $ 100.2 million and $ 117.0 million , respectively ."}, "exe_ans": 0.15868, "tfidftopn": {"text_3": "included in discontinued operations in the consolidated statements of earnings was rent expense of $ 2.0 million , $ 1.8 million and $ 17.0 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively .", "text_18": "the company recorded expense of $ 23.1 million , $ 16.6 million and $ 18.5 million , respectively , for the years ended december 31 , 2010 , 2009 and 2008 , relating to the participation of fis employees in the 401 ( k ) plan ."}, "program_re": "divide(subtract(116.1, 100.2), 100.2)", "model_input": [["text_2", "rent expense incurred under all operating leases during the years ended december 31 , 2010 , 2009 and 2008 was $ 116.1 million , $ 100.2 million and $ 117.0 million , respectively ."], ["text_3", "included in discontinued operations in the consolidated statements of earnings was rent expense of $ 2.0 million , $ 1.8 million and $ 17.0 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."], ["text_19", "included in discontinued operations in the consolidated statements of earnings was expense of $ 0.1 million and $ 3.9 million for the years ended december 31 , 2009 and 2008 , respectively ."]]}, "answers": ["15.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001054", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the increase in rent expense from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "15.9%.", "rejected": "-14.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what is the increase in rent expense <TIME>?", "doc_prefix": "FIS", "base_question": "what is the increase in rent expense <TIME>?", "original_question": "what is the increase in rent expense from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-14.4%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "15.9%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "FIS/2010/page_89.pdf-1", "qa": {"question": "what is the increase in rent expense from 2009 to 2010?", "answer": "15.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "116.1", "arg2": "100.2", "res": "15.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100.2", "res": "15.9%"}], "program": "subtract(116.1, 100.2), divide(#0, 100.2)", "gold_inds": {"text_2": "rent expense incurred under all operating leases during the years ended december 31 , 2010 , 2009 and 2008 was $ 116.1 million , $ 100.2 million and $ 117.0 million , respectively ."}, "exe_ans": 0.15868, "tfidftopn": {"text_3": "included in discontinued operations in the consolidated statements of earnings was rent expense of $ 2.0 million , $ 1.8 million and $ 17.0 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively .", "text_18": "the company recorded expense of $ 23.1 million , $ 16.6 million and $ 18.5 million , respectively , for the years ended december 31 , 2010 , 2009 and 2008 , relating to the participation of fis employees in the 401 ( k ) plan ."}, "program_re": "divide(subtract(116.1, 100.2), 100.2)", "model_input": [["text_2", "rent expense incurred under all operating leases during the years ended december 31 , 2010 , 2009 and 2008 was $ 116.1 million , $ 100.2 million and $ 117.0 million , respectively ."], ["text_3", "included in discontinued operations in the consolidated statements of earnings was rent expense of $ 2.0 million , $ 1.8 million and $ 17.0 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."], ["text_19", "included in discontinued operations in the consolidated statements of earnings was expense of $ 0.1 million and $ 3.9 million for the years ended december 31 , 2009 and 2008 , respectively ."]]}, "answers": ["15.9%"]}, "rejected_source": {"id": "FIS/2010/page_89.pdf-2", "qa": {"question": "what is the increase in rent expense from 2008 to 2009?", "answer": "-14.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "minus2-1", "arg1": "100.2", "arg2": "117.0", "res": "-16.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "117.0", "res": "-14.4%"}], "program": "subtract(100.2, 117.0), divide(#0, 117.0)", "gold_inds": {"text_2": "rent expense incurred under all operating leases during the years ended december 31 , 2010 , 2009 and 2008 was $ 116.1 million , $ 100.2 million and $ 117.0 million , respectively ."}, "exe_ans": -0.14359, "tfidftopn": {"text_3": "included in discontinued operations in the consolidated statements of earnings was rent expense of $ 2.0 million , $ 1.8 million and $ 17.0 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively .", "text_14": "included in discontinued operations in the consolidated statements of earnings was expense of $ 0.1 million and $ 3.0 million for the years ended december 31 , 2009 and 2008 , respectively ."}, "program_re": "divide(subtract(100.2, 117.0), 117.0)", "model_input": [["text_2", "rent expense incurred under all operating leases during the years ended december 31 , 2010 , 2009 and 2008 was $ 116.1 million , $ 100.2 million and $ 117.0 million , respectively ."], ["text_3", "included in discontinued operations in the consolidated statements of earnings was rent expense of $ 2.0 million , $ 1.8 million and $ 17.0 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."], ["text_13", "the company recorded an expense of $ 14.3 million , $ 12.4 million and $ 14.3 million , respectively , for the years ended december 31 , 2010 , 2009 and 2008 , relating to the participation of fis employees in the espp ."]]}, "answers": ["-14.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001055", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net sales for mst in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-0.1%.", "rejected": "-5.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in net sales for mst <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in net sales for mst <TIME>?", "original_question": "what is the growth rate in net sales for mst in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5.6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-0.1%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2014/page_49.pdf-1", "qa": {"question": "what is the growth rate in net sales for mst in 2014?", "answer": "-0.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7147", "arg2": "7153", "res": "-6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7153", "res": "-0.1%"}], "program": "subtract(7147, 7153), divide(#0, 7153)", "gold_inds": {"table_1": "the net sales of 2014 is $ 7147 ; the net sales of 2013 is $ 7153 ; the net sales of 2012 is $ 7579 ;"}, "exe_ans": -0.00084, "tfidftopn": {"text_3": "2014 compared to 2013 mst 2019s net sales for 2014 were comparable to 2013 .", "text_9": "adjustments not related to volume , including net profit booking rate adjustments and other matters , were approximately $ 50 million lower for 2014 compared to 2013 ."}, "program_re": "divide(subtract(7147, 7153), 7153)", "model_input": [["table_1", "the net sales of 2014 is $ 7147 ; the net sales of 2013 is $ 7153 ; the net sales of 2012 is $ 7579 ;"], ["table_2", "the operating profit of 2014 is 843 ; the operating profit of 2013 is 905 ; the operating profit of 2012 is 737 ;"], ["text_3", "2014 compared to 2013 mst 2019s net sales for 2014 were comparable to 2013 ."]]}, "answers": ["-0.1%"]}, "rejected_source": {"id": "LMT/2014/page_49.pdf-4", "qa": {"question": "what is the growth rate in net sales for mst in 2013?", "answer": "-5.6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "7153", "arg2": "7579", "res": "-426"}, {"op": "divide2-2", "arg1": "#0", "arg2": "7579", "res": "-5.6%"}], "program": "subtract(7153, 7579), divide(#0, 7579)", "gold_inds": {"table_1": "the net sales of 2014 is $ 7147 ; the net sales of 2013 is $ 7153 ; the net sales of 2012 is $ 7579 ;"}, "exe_ans": -0.05621, "tfidftopn": {"text_3": "2014 compared to 2013 mst 2019s net sales for 2014 were comparable to 2013 .", "text_10": "2013 compared to 2012 mst 2019s net sales for 2013 decreased $ 426 million , or 6% ( 6 % ) , compared to 2012 ."}, "program_re": "divide(subtract(7153, 7579), 7579)", "model_input": [["table_1", "the net sales of 2014 is $ 7147 ; the net sales of 2013 is $ 7153 ; the net sales of 2012 is $ 7579 ;"], ["table_2", "the operating profit of 2014 is 843 ; the operating profit of 2013 is 905 ; the operating profit of 2012 is 737 ;"], ["text_10", "2013 compared to 2012 mst 2019s net sales for 2013 decreased $ 426 million , or 6% ( 6 % ) , compared to 2012 ."]]}, "answers": ["-5.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001056", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net sales for mst in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-5.6%.", "rejected": "-0.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in net sales for mst <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in net sales for mst <TIME>?", "original_question": "what is the growth rate in net sales for mst in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5.6%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "-0.1%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "LMT/2014/page_49.pdf-4", "qa": {"question": "what is the growth rate in net sales for mst in 2013?", "answer": "-5.6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "7153", "arg2": "7579", "res": "-426"}, {"op": "divide2-2", "arg1": "#0", "arg2": "7579", "res": "-5.6%"}], "program": "subtract(7153, 7579), divide(#0, 7579)", "gold_inds": {"table_1": "the net sales of 2014 is $ 7147 ; the net sales of 2013 is $ 7153 ; the net sales of 2012 is $ 7579 ;"}, "exe_ans": -0.05621, "tfidftopn": {"text_3": "2014 compared to 2013 mst 2019s net sales for 2014 were comparable to 2013 .", "text_10": "2013 compared to 2012 mst 2019s net sales for 2013 decreased $ 426 million , or 6% ( 6 % ) , compared to 2012 ."}, "program_re": "divide(subtract(7153, 7579), 7579)", "model_input": [["table_1", "the net sales of 2014 is $ 7147 ; the net sales of 2013 is $ 7153 ; the net sales of 2012 is $ 7579 ;"], ["table_2", "the operating profit of 2014 is 843 ; the operating profit of 2013 is 905 ; the operating profit of 2012 is 737 ;"], ["text_10", "2013 compared to 2012 mst 2019s net sales for 2013 decreased $ 426 million , or 6% ( 6 % ) , compared to 2012 ."]]}, "answers": ["-5.6%"]}, "rejected_source": {"id": "LMT/2014/page_49.pdf-1", "qa": {"question": "what is the growth rate in net sales for mst in 2014?", "answer": "-0.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7147", "arg2": "7153", "res": "-6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7153", "res": "-0.1%"}], "program": "subtract(7147, 7153), divide(#0, 7153)", "gold_inds": {"table_1": "the net sales of 2014 is $ 7147 ; the net sales of 2013 is $ 7153 ; the net sales of 2012 is $ 7579 ;"}, "exe_ans": -0.00084, "tfidftopn": {"text_3": "2014 compared to 2013 mst 2019s net sales for 2014 were comparable to 2013 .", "text_9": "adjustments not related to volume , including net profit booking rate adjustments and other matters , were approximately $ 50 million lower for 2014 compared to 2013 ."}, "program_re": "divide(subtract(7147, 7153), 7153)", "model_input": [["table_1", "the net sales of 2014 is $ 7147 ; the net sales of 2013 is $ 7153 ; the net sales of 2012 is $ 7579 ;"], ["table_2", "the operating profit of 2014 is 843 ; the operating profit of 2013 is 905 ; the operating profit of 2012 is 737 ;"], ["text_3", "2014 compared to 2013 mst 2019s net sales for 2014 were comparable to 2013 ."]]}, "answers": ["-0.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001057", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the total gross amount of unrecognized tax benefits from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-15.2%.", "rejected": "9.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the percentage change in the total gross amount of unrecognized tax benefits <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the percentage change in the total gross amount of unrecognized tax benefits <TIME>?", "original_question": "what is the percentage change in the total gross amount of unrecognized tax benefits from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-15.2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "9.4%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "ADBE/2014/page_87.pdf-3", "qa": {"question": "what is the percentage change in the total gross amount of unrecognized tax benefits from 2012 to 2013?", "answer": "-15.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "136098", "arg2": "160468", "res": "-24370"}, {"op": "divide2-2", "arg1": "#0", "arg2": "160468", "res": "-15.2%"}], "program": "subtract(136098, 160468), divide(#0, 160468)", "gold_inds": {"table_1": "the beginning balance of 2014 is $ 136098 ; the beginning balance of 2013 is $ 160468 ;", "table_7": "the ending balance of 2014 is $ 148848 ; the ending balance of 2013 is $ 136098 ;"}, "exe_ans": -0.15187, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2014 is 18877 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ;"}, "program_re": "divide(subtract(136098, 160468), 160468)", "model_input": [["table_1", "the beginning balance of 2014 is $ 136098 ; the beginning balance of 2013 is $ 160468 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2014 is 144 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2013 is 20244 ;"], ["table_7", "the ending balance of 2014 is $ 148848 ; the ending balance of 2013 is $ 136098 ;"]]}, "answers": ["-15.2%"]}, "rejected_source": {"id": "ADBE/2014/page_87.pdf-1", "qa": {"question": "what is the percentage change in the total gross amount of unrecognized tax benefits from 2013 to 2014?", "answer": "9.4%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "148848", "arg2": "136098", "res": "12750"}, {"op": "divide1-2", "arg1": "#0", "arg2": "136098", "res": "9.4%"}], "program": "subtract(148848, 136098), divide(#0, 136098)", "gold_inds": {"table_1": "the beginning balance of 2014 is $ 136098 ; the beginning balance of 2013 is $ 160468 ;", "table_7": "the ending balance of 2014 is $ 148848 ; the ending balance of 2013 is $ 136098 ;"}, "exe_ans": 0.09368, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2014 is 18877 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ;"}, "program_re": "divide(subtract(148848, 136098), 136098)", "model_input": [["table_1", "the beginning balance of 2014 is $ 136098 ; the beginning balance of 2013 is $ 160468 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2014 is 144 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2013 is 20244 ;"], ["table_7", "the ending balance of 2014 is $ 148848 ; the ending balance of 2013 is $ 136098 ;"]]}, "answers": ["9.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001058", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the total gross amount of unrecognized tax benefits from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "9.4%.", "rejected": "-15.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the percentage change in the total gross amount of unrecognized tax benefits <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the percentage change in the total gross amount of unrecognized tax benefits <TIME>?", "original_question": "what is the percentage change in the total gross amount of unrecognized tax benefits from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-15.2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "9.4%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "ADBE/2014/page_87.pdf-1", "qa": {"question": "what is the percentage change in the total gross amount of unrecognized tax benefits from 2013 to 2014?", "answer": "9.4%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "148848", "arg2": "136098", "res": "12750"}, {"op": "divide1-2", "arg1": "#0", "arg2": "136098", "res": "9.4%"}], "program": "subtract(148848, 136098), divide(#0, 136098)", "gold_inds": {"table_1": "the beginning balance of 2014 is $ 136098 ; the beginning balance of 2013 is $ 160468 ;", "table_7": "the ending balance of 2014 is $ 148848 ; the ending balance of 2013 is $ 136098 ;"}, "exe_ans": 0.09368, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2014 is 18877 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ;"}, "program_re": "divide(subtract(148848, 136098), 136098)", "model_input": [["table_1", "the beginning balance of 2014 is $ 136098 ; the beginning balance of 2013 is $ 160468 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2014 is 144 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2013 is 20244 ;"], ["table_7", "the ending balance of 2014 is $ 148848 ; the ending balance of 2013 is $ 136098 ;"]]}, "answers": ["9.4%"]}, "rejected_source": {"id": "ADBE/2014/page_87.pdf-3", "qa": {"question": "what is the percentage change in the total gross amount of unrecognized tax benefits from 2012 to 2013?", "answer": "-15.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "136098", "arg2": "160468", "res": "-24370"}, {"op": "divide2-2", "arg1": "#0", "arg2": "160468", "res": "-15.2%"}], "program": "subtract(136098, 160468), divide(#0, 160468)", "gold_inds": {"table_1": "the beginning balance of 2014 is $ 136098 ; the beginning balance of 2013 is $ 160468 ;", "table_7": "the ending balance of 2014 is $ 148848 ; the ending balance of 2013 is $ 136098 ;"}, "exe_ans": -0.15187, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2014 is 18877 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ;"}, "program_re": "divide(subtract(136098, 160468), 160468)", "model_input": [["table_1", "the beginning balance of 2014 is $ 136098 ; the beginning balance of 2013 is $ 160468 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2014 is 144 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2013 is 20244 ;"], ["table_7", "the ending balance of 2014 is $ 148848 ; the ending balance of 2013 is $ 136098 ;"]]}, "answers": ["-15.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001059", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of vehicles from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-12.", "rejected": "2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the change in millions of vehicles <TIME>?", "doc_prefix": "UPS", "base_question": "what was the change in millions of vehicles <TIME>?", "original_question": "what was the change in millions of vehicles from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-12": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "2": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UPS/2015/page_108.pdf-4", "qa": {"question": "what was the change in millions of vehicles from 2014 to 2015?", "answer": "-12", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "74", "arg2": "86", "res": "-12"}], "program": "subtract(74, 86)", "gold_inds": {"table_1": "the vehicles of 2015 is $ 74 ; the vehicles of 2014 is $ 86 ;"}, "exe_ans": -12.0, "tfidftopn": {"text_3": "the recorded value of our property , plant and equipment subject to capital leases is as follows as of december 31 ( in millions ) : .", "text_15": "the bonds , which were due in december 2015 , had a variable interest rate , and the average interest rates for 2015 and 2014 were 0.02% ( 0.02 % ) and 0.04% ( 0.04 % ) , respectively ."}, "program_re": "subtract(74, 86)", "model_input": [["text_3", "the recorded value of our property , plant and equipment subject to capital leases is as follows as of december 31 ( in millions ) : ."], ["table_1", "the vehicles of 2015 is $ 74 ; the vehicles of 2014 is $ 86 ;"], ["text_8", "under these arrangements , we enter into a lease or loan agreement that covers the debt service obligations on the bonds issued by the municipalities , as follows : 2022 bonds with a principal balance of $ 149 million issued by the louisville regional airport authority associated with our worldport facility in louisville , kentucky ."]]}, "answers": ["-12"]}, "rejected_source": {"id": "UPS/2017/page_111.pdf-2", "qa": {"question": "what was the change in millions of vehicles from 2016 to 2017?", "answer": "2", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "70", "arg2": "68", "res": "2"}], "program": "subtract(70, 68)", "gold_inds": {"table_1": "the vehicles of 2017 is $ 70 ; the vehicles of 2016 is $ 68 ;"}, "exe_ans": 2.0, "tfidftopn": {"text_15": "the recorded value of our property , plant and equipment subject to capital leases is as follows as of december 31 ( in millions ) : .", "text_9": "the average interest rate for 2017 and 2016 was 0.50% ( 0.50 % ) and 0.0% ( 0.0 % ) , respectively ."}, "program_re": "subtract(70, 68)", "model_input": [["text_15", "the recorded value of our property , plant and equipment subject to capital leases is as follows as of december 31 ( in millions ) : ."], ["table_1", "the vehicles of 2017 is $ 70 ; the vehicles of 2016 is $ 68 ;"], ["text_20", "under these arrangements , we enter into a lease or loan agreement that covers the debt service obligations on the bonds issued by the municipalities , as follows : 2022 bonds with a principal balance of $ 149 million issued by the louisville regional airport authority associated with our worldport facility in louisville , kentucky ."]]}, "answers": ["2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001060", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of vehicles from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "2.", "rejected": "-12.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the change in millions of vehicles <TIME>?", "doc_prefix": "UPS", "base_question": "what was the change in millions of vehicles <TIME>?", "original_question": "what was the change in millions of vehicles from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-12": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "2": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UPS/2017/page_111.pdf-2", "qa": {"question": "what was the change in millions of vehicles from 2016 to 2017?", "answer": "2", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "70", "arg2": "68", "res": "2"}], "program": "subtract(70, 68)", "gold_inds": {"table_1": "the vehicles of 2017 is $ 70 ; the vehicles of 2016 is $ 68 ;"}, "exe_ans": 2.0, "tfidftopn": {"text_15": "the recorded value of our property , plant and equipment subject to capital leases is as follows as of december 31 ( in millions ) : .", "text_9": "the average interest rate for 2017 and 2016 was 0.50% ( 0.50 % ) and 0.0% ( 0.0 % ) , respectively ."}, "program_re": "subtract(70, 68)", "model_input": [["text_15", "the recorded value of our property , plant and equipment subject to capital leases is as follows as of december 31 ( in millions ) : ."], ["table_1", "the vehicles of 2017 is $ 70 ; the vehicles of 2016 is $ 68 ;"], ["text_20", "under these arrangements , we enter into a lease or loan agreement that covers the debt service obligations on the bonds issued by the municipalities , as follows : 2022 bonds with a principal balance of $ 149 million issued by the louisville regional airport authority associated with our worldport facility in louisville , kentucky ."]]}, "answers": ["2"]}, "rejected_source": {"id": "UPS/2015/page_108.pdf-4", "qa": {"question": "what was the change in millions of vehicles from 2014 to 2015?", "answer": "-12", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "74", "arg2": "86", "res": "-12"}], "program": "subtract(74, 86)", "gold_inds": {"table_1": "the vehicles of 2015 is $ 74 ; the vehicles of 2014 is $ 86 ;"}, "exe_ans": -12.0, "tfidftopn": {"text_3": "the recorded value of our property , plant and equipment subject to capital leases is as follows as of december 31 ( in millions ) : .", "text_15": "the bonds , which were due in december 2015 , had a variable interest rate , and the average interest rates for 2015 and 2014 were 0.02% ( 0.02 % ) and 0.04% ( 0.04 % ) , respectively ."}, "program_re": "subtract(74, 86)", "model_input": [["text_3", "the recorded value of our property , plant and equipment subject to capital leases is as follows as of december 31 ( in millions ) : ."], ["table_1", "the vehicles of 2015 is $ 74 ; the vehicles of 2014 is $ 86 ;"], ["text_8", "under these arrangements , we enter into a lease or loan agreement that covers the debt service obligations on the bonds issued by the municipalities , as follows : 2022 bonds with a principal balance of $ 149 million issued by the louisville regional airport authority associated with our worldport facility in louisville , kentucky ."]]}, "answers": ["-12"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001061", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "0.005%.", "rejected": "1.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PNC || for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end <TIME>?", "doc_prefix": "PNC", "base_question": "for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end <TIME>?", "original_question": "for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "0.005%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "PNC/2014/page_94.pdf-2", "qa": {"question": "for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2016?", "answer": "0.005%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [10], "steps": [{"op": "divide2-1", "arg1": "48", "arg2": "10349", "res": "0.005%"}], "program": "divide(48, 10349)", "gold_inds": {"table_6": "in millions the total ( a ) ( b ) of interest onlyproduct is $ 10349 ; the total ( a ) ( b ) of principal andinterest product is $ 7778 ;", "text_10": "therefore , information about the current lien status of junior lien loans is less readily available in cases where pnc does not also hold the senior lien .", "text_30": "( b ) includes approximately $ 154 million , $ 48 million , $ 57 million , $ 42 million and $ 564 million of home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015 , 2016 , 2017 , 2018 and 2019 and thereafter , respectively ."}, "exe_ans": 0.00464, "tfidftopn": {}, "program_re": "divide(48, 10349)", "model_input": [["text_10", "therefore , information about the current lien status of junior lien loans is less readily available in cases where pnc does not also hold the senior lien ."], ["table_6", "in millions the total ( a ) ( b ) of interest onlyproduct is $ 10349 ; the total ( a ) ( b ) of principal andinterest product is $ 7778 ;"], ["text_30", "( b ) includes approximately $ 154 million , $ 48 million , $ 57 million , $ 42 million and $ 564 million of home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015 , 2016 , 2017 , 2018 and 2019 and thereafter , respectively ."]]}, "answers": ["0.005%"]}, "rejected_source": {"id": "PNC/2014/page_94.pdf-3", "qa": {"question": "for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015?", "answer": "1.5%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [10], "steps": [{"op": "divide1-1", "arg1": "154", "arg2": "10349", "res": "1.5%"}], "program": "divide(154, 10349)", "gold_inds": {"table_6": "in millions the total ( a ) ( b ) of interest onlyproduct is $ 10349 ; the total ( a ) ( b ) of principal andinterest product is $ 7778 ;", "text_10": "therefore , information about the current lien status of junior lien loans is less readily available in cases where pnc does not also hold the senior lien .", "text_30": "( b ) includes approximately $ 154 million , $ 48 million , $ 57 million , $ 42 million and $ 564 million of home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015 , 2016 , 2017 , 2018 and 2019 and thereafter , respectively ."}, "exe_ans": 0.01488, "tfidftopn": {}, "program_re": "divide(154, 10349)", "model_input": [["text_10", "therefore , information about the current lien status of junior lien loans is less readily available in cases where pnc does not also hold the senior lien ."], ["table_6", "in millions the total ( a ) ( b ) of interest onlyproduct is $ 10349 ; the total ( a ) ( b ) of principal andinterest product is $ 7778 ;"], ["text_30", "( b ) includes approximately $ 154 million , $ 48 million , $ 57 million , $ 42 million and $ 564 million of home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015 , 2016 , 2017 , 2018 and 2019 and thereafter , respectively ."]]}, "answers": ["1.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001062", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "1.5%.", "rejected": "0.005%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PNC || for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end <TIME>?", "doc_prefix": "PNC", "base_question": "for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end <TIME>?", "original_question": "for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.5%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "0.005%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "PNC/2014/page_94.pdf-3", "qa": {"question": "for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015?", "answer": "1.5%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [10], "steps": [{"op": "divide1-1", "arg1": "154", "arg2": "10349", "res": "1.5%"}], "program": "divide(154, 10349)", "gold_inds": {"table_6": "in millions the total ( a ) ( b ) of interest onlyproduct is $ 10349 ; the total ( a ) ( b ) of principal andinterest product is $ 7778 ;", "text_10": "therefore , information about the current lien status of junior lien loans is less readily available in cases where pnc does not also hold the senior lien .", "text_30": "( b ) includes approximately $ 154 million , $ 48 million , $ 57 million , $ 42 million and $ 564 million of home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015 , 2016 , 2017 , 2018 and 2019 and thereafter , respectively ."}, "exe_ans": 0.01488, "tfidftopn": {}, "program_re": "divide(154, 10349)", "model_input": [["text_10", "therefore , information about the current lien status of junior lien loans is less readily available in cases where pnc does not also hold the senior lien ."], ["table_6", "in millions the total ( a ) ( b ) of interest onlyproduct is $ 10349 ; the total ( a ) ( b ) of principal andinterest product is $ 7778 ;"], ["text_30", "( b ) includes approximately $ 154 million , $ 48 million , $ 57 million , $ 42 million and $ 564 million of home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015 , 2016 , 2017 , 2018 and 2019 and thereafter , respectively ."]]}, "answers": ["1.5%"]}, "rejected_source": {"id": "PNC/2014/page_94.pdf-2", "qa": {"question": "for total interest only home equity lines of credit , what percentage of the total includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2016?", "answer": "0.005%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [10], "steps": [{"op": "divide2-1", "arg1": "48", "arg2": "10349", "res": "0.005%"}], "program": "divide(48, 10349)", "gold_inds": {"table_6": "in millions the total ( a ) ( b ) of interest onlyproduct is $ 10349 ; the total ( a ) ( b ) of principal andinterest product is $ 7778 ;", "text_10": "therefore , information about the current lien status of junior lien loans is less readily available in cases where pnc does not also hold the senior lien .", "text_30": "( b ) includes approximately $ 154 million , $ 48 million , $ 57 million , $ 42 million and $ 564 million of home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015 , 2016 , 2017 , 2018 and 2019 and thereafter , respectively ."}, "exe_ans": 0.00464, "tfidftopn": {}, "program_re": "divide(48, 10349)", "model_input": [["text_10", "therefore , information about the current lien status of junior lien loans is less readily available in cases where pnc does not also hold the senior lien ."], ["table_6", "in millions the total ( a ) ( b ) of interest onlyproduct is $ 10349 ; the total ( a ) ( b ) of principal andinterest product is $ 7778 ;"], ["text_30", "( b ) includes approximately $ 154 million , $ 48 million , $ 57 million , $ 42 million and $ 564 million of home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , with draw periods scheduled to end in 2015 , 2016 , 2017 , 2018 and 2019 and thereafter , respectively ."]]}, "answers": ["0.005%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001063", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in percentage sales to restaurants from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "-1%.", "rejected": "0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SYY || what was the change in percentage sales to restaurants <TIME>?", "doc_prefix": "SYY", "base_question": "what was the change in percentage sales to restaurants <TIME>?", "original_question": "what was the change in percentage sales to restaurants from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"0%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "-1%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "SYY/2006/page_26.pdf-2", "qa": {"question": "what was the change in percentage sales to restaurants from 2005 to 2006?", "answer": "-1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "63%", "arg2": "64%", "res": "-1%"}], "program": "subtract(63%, 64%)", "gold_inds": {"table_1": "type of customer the restaurants of 2006 is 63% ( 63 % ) ; the restaurants of 2005 is 64% ( 64 % ) ; the restaurants of 2004 is 64% ( 64 % ) ;"}, "exe_ans": -0.01, "tfidftopn": {"table_5": "type of customer The other of 2006 is 16 ; The other of 2005 is 15 ; The other of 2004 is 15 ;", "text_13": "one chain restaurant customer ( wendy 2019s international , inc. ) accounted for 5% ( 5 % ) of sysco 2019s sales for its fiscal year ended july 1 , 2006 ."}, "program_re": "subtract(63%, 64%)", "model_input": [["table_1", "type of customer the restaurants of 2006 is 63% ( 63 % ) ; the restaurants of 2005 is 64% ( 64 % ) ; the restaurants of 2004 is 64% ( 64 % ) ;"], ["table_6", "type of customer the totals of 2006 is 100% ( 100 % ) ; the totals of 2005 is 100% ( 100 % ) ; the totals of 2004 is 100% ( 100 % ) ;"], ["text_16", "restaurants **************************************************************** 63% ( 63 % ) 64% ( 64 % ) 64% ( 64 % ) hospitals and nursing homes *************************************************** 10 10 10 schools and colleges ********************************************************* 5 5 5 hotels and motels *********************************************************** 6 6 6 other********************************************************************* 16 15 15 totals ****************************************************************** 100% ( 100 % ) 100% ( 100 % ) 100% ( 100 % ) sources of supply sysco purchases from thousands of suppliers , none of which individually accounts for more than 10% ( 10 % ) of the company 2019s purchases ."]]}, "answers": ["-1%"]}, "rejected_source": {"id": "SYY/2006/page_26.pdf-1", "qa": {"question": "what was the change in percentage sales to restaurants from 2004 to 2005?", "answer": "0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "64%", "arg2": "64%", "res": "0%"}], "program": "subtract(64%, 64%)", "gold_inds": {"table_1": "type of customer the restaurants of 2006 is 63% ( 63 % ) ; the restaurants of 2005 is 64% ( 64 % ) ; the restaurants of 2004 is 64% ( 64 % ) ;"}, "exe_ans": 0.0, "tfidftopn": {"table_5": "type of customer The other of 2006 is 16 ; The other of 2005 is 15 ; The other of 2004 is 15 ;", "table_3": "type of customer The schools and colleges of 2006 is 5 ; The schools and colleges of 2005 is 5 ; The schools and colleges of 2004 is 5 ;"}, "program_re": "subtract(64%, 64%)", "model_input": [["table_1", "type of customer the restaurants of 2006 is 63% ( 63 % ) ; the restaurants of 2005 is 64% ( 64 % ) ; the restaurants of 2004 is 64% ( 64 % ) ;"], ["table_6", "type of customer the totals of 2006 is 100% ( 100 % ) ; the totals of 2005 is 100% ( 100 % ) ; the totals of 2004 is 100% ( 100 % ) ;"], ["text_16", "restaurants **************************************************************** 63% ( 63 % ) 64% ( 64 % ) 64% ( 64 % ) hospitals and nursing homes *************************************************** 10 10 10 schools and colleges ********************************************************* 5 5 5 hotels and motels *********************************************************** 6 6 6 other********************************************************************* 16 15 15 totals ****************************************************************** 100% ( 100 % ) 100% ( 100 % ) 100% ( 100 % ) sources of supply sysco purchases from thousands of suppliers , none of which individually accounts for more than 10% ( 10 % ) of the company 2019s purchases ."]]}, "answers": ["0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001064", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in percentage sales to restaurants from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "0%.", "rejected": "-1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SYY || what was the change in percentage sales to restaurants <TIME>?", "doc_prefix": "SYY", "base_question": "what was the change in percentage sales to restaurants <TIME>?", "original_question": "what was the change in percentage sales to restaurants from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"0%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "-1%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "SYY/2006/page_26.pdf-1", "qa": {"question": "what was the change in percentage sales to restaurants from 2004 to 2005?", "answer": "0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "64%", "arg2": "64%", "res": "0%"}], "program": "subtract(64%, 64%)", "gold_inds": {"table_1": "type of customer the restaurants of 2006 is 63% ( 63 % ) ; the restaurants of 2005 is 64% ( 64 % ) ; the restaurants of 2004 is 64% ( 64 % ) ;"}, "exe_ans": 0.0, "tfidftopn": {"table_5": "type of customer The other of 2006 is 16 ; The other of 2005 is 15 ; The other of 2004 is 15 ;", "table_3": "type of customer The schools and colleges of 2006 is 5 ; The schools and colleges of 2005 is 5 ; The schools and colleges of 2004 is 5 ;"}, "program_re": "subtract(64%, 64%)", "model_input": [["table_1", "type of customer the restaurants of 2006 is 63% ( 63 % ) ; the restaurants of 2005 is 64% ( 64 % ) ; the restaurants of 2004 is 64% ( 64 % ) ;"], ["table_6", "type of customer the totals of 2006 is 100% ( 100 % ) ; the totals of 2005 is 100% ( 100 % ) ; the totals of 2004 is 100% ( 100 % ) ;"], ["text_16", "restaurants **************************************************************** 63% ( 63 % ) 64% ( 64 % ) 64% ( 64 % ) hospitals and nursing homes *************************************************** 10 10 10 schools and colleges ********************************************************* 5 5 5 hotels and motels *********************************************************** 6 6 6 other********************************************************************* 16 15 15 totals ****************************************************************** 100% ( 100 % ) 100% ( 100 % ) 100% ( 100 % ) sources of supply sysco purchases from thousands of suppliers , none of which individually accounts for more than 10% ( 10 % ) of the company 2019s purchases ."]]}, "answers": ["0%"]}, "rejected_source": {"id": "SYY/2006/page_26.pdf-2", "qa": {"question": "what was the change in percentage sales to restaurants from 2005 to 2006?", "answer": "-1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "63%", "arg2": "64%", "res": "-1%"}], "program": "subtract(63%, 64%)", "gold_inds": {"table_1": "type of customer the restaurants of 2006 is 63% ( 63 % ) ; the restaurants of 2005 is 64% ( 64 % ) ; the restaurants of 2004 is 64% ( 64 % ) ;"}, "exe_ans": -0.01, "tfidftopn": {"table_5": "type of customer The other of 2006 is 16 ; The other of 2005 is 15 ; The other of 2004 is 15 ;", "text_13": "one chain restaurant customer ( wendy 2019s international , inc. ) accounted for 5% ( 5 % ) of sysco 2019s sales for its fiscal year ended july 1 , 2006 ."}, "program_re": "subtract(63%, 64%)", "model_input": [["table_1", "type of customer the restaurants of 2006 is 63% ( 63 % ) ; the restaurants of 2005 is 64% ( 64 % ) ; the restaurants of 2004 is 64% ( 64 % ) ;"], ["table_6", "type of customer the totals of 2006 is 100% ( 100 % ) ; the totals of 2005 is 100% ( 100 % ) ; the totals of 2004 is 100% ( 100 % ) ;"], ["text_16", "restaurants **************************************************************** 63% ( 63 % ) 64% ( 64 % ) 64% ( 64 % ) hospitals and nursing homes *************************************************** 10 10 10 schools and colleges ********************************************************* 5 5 5 hotels and motels *********************************************************** 6 6 6 other********************************************************************* 16 15 15 totals ****************************************************************** 100% ( 100 % ) 100% ( 100 % ) 100% ( 100 % ) sources of supply sysco purchases from thousands of suppliers , none of which individually accounts for more than 10% ( 10 % ) of the company 2019s purchases ."]]}, "answers": ["-1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001065", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net sales for mfc in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-0.1%.", "rejected": "7.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in net sales for mfc <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in net sales for mfc <TIME>?", "original_question": "what is the growth rate in net sales for mfc in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-0.1%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "LMT/2012/page_45.pdf-2", "qa": {"question": "what is the growth rate in net sales for mfc in 2012?", "answer": "-0.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7457", "arg2": "7463", "res": "-6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7463", "res": "-0.1%"}], "program": "subtract(7457, 7463), divide(#0, 7463)", "gold_inds": {"table_1": "the net sales of 2012 is $ 7457 ; the net sales of 2011 is $ 7463 ; the net sales of 2010 is $ 6930 ;"}, "exe_ans": -0.0008, "tfidftopn": {"text_16": "2012 compared to 2011 mfc 2019s net sales for 2012 were comparable to 2011 .", "text_22": "adjustments not related to volume , including net profit booking rate adjustments and other matters described above , were approximately $ 145 million higher for 2012 compared to 2011. ."}, "program_re": "divide(subtract(7457, 7463), 7463)", "model_input": [["table_1", "the net sales of 2012 is $ 7457 ; the net sales of 2011 is $ 7463 ; the net sales of 2010 is $ 6930 ;"], ["text_16", "2012 compared to 2011 mfc 2019s net sales for 2012 were comparable to 2011 ."], ["text_19", "mfc 2019s operating profit for 2012 increased $ 187 million , or 17% ( 17 % ) , compared to 2011 ."]]}, "answers": ["-0.1%"]}, "rejected_source": {"id": "LMT/2012/page_45.pdf-3", "qa": {"question": "what is the growth rate in net sales for mfc in 2011?", "answer": "7.7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "7463", "arg2": "6930", "res": "533"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6930", "res": "7.7%"}], "program": "subtract(7463, 6930), divide(#0, 6930)", "gold_inds": {"table_1": "the net sales of 2012 is $ 7457 ; the net sales of 2011 is $ 7463 ; the net sales of 2010 is $ 6930 ;"}, "exe_ans": 0.07691, "tfidftopn": {"text_16": "2012 compared to 2011 mfc 2019s net sales for 2012 were comparable to 2011 .", "text_7": "adjustments not related to volume , including net profit rate adjustments described above , were approximately $ 130 million higher in 2011 compared to 2010 ."}, "program_re": "divide(subtract(7463, 6930), 6930)", "model_input": [["text_0", "2011 compared to 2010 is&gs 2019 net sales for 2011 decreased $ 540 million , or 5% ( 5 % ) , compared to 2010 ."], ["table_1", "the net sales of 2012 is $ 7457 ; the net sales of 2011 is $ 7463 ; the net sales of 2010 is $ 6930 ;"], ["text_16", "2012 compared to 2011 mfc 2019s net sales for 2012 were comparable to 2011 ."]]}, "answers": ["7.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001066", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net sales for mfc in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "7.7%.", "rejected": "-0.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what is the growth rate in net sales for mfc <TIME>?", "doc_prefix": "LMT", "base_question": "what is the growth rate in net sales for mfc <TIME>?", "original_question": "what is the growth rate in net sales for mfc in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.7%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-0.1%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "LMT/2012/page_45.pdf-3", "qa": {"question": "what is the growth rate in net sales for mfc in 2011?", "answer": "7.7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "7463", "arg2": "6930", "res": "533"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6930", "res": "7.7%"}], "program": "subtract(7463, 6930), divide(#0, 6930)", "gold_inds": {"table_1": "the net sales of 2012 is $ 7457 ; the net sales of 2011 is $ 7463 ; the net sales of 2010 is $ 6930 ;"}, "exe_ans": 0.07691, "tfidftopn": {"text_16": "2012 compared to 2011 mfc 2019s net sales for 2012 were comparable to 2011 .", "text_7": "adjustments not related to volume , including net profit rate adjustments described above , were approximately $ 130 million higher in 2011 compared to 2010 ."}, "program_re": "divide(subtract(7463, 6930), 6930)", "model_input": [["text_0", "2011 compared to 2010 is&gs 2019 net sales for 2011 decreased $ 540 million , or 5% ( 5 % ) , compared to 2010 ."], ["table_1", "the net sales of 2012 is $ 7457 ; the net sales of 2011 is $ 7463 ; the net sales of 2010 is $ 6930 ;"], ["text_16", "2012 compared to 2011 mfc 2019s net sales for 2012 were comparable to 2011 ."]]}, "answers": ["7.7%"]}, "rejected_source": {"id": "LMT/2012/page_45.pdf-2", "qa": {"question": "what is the growth rate in net sales for mfc in 2012?", "answer": "-0.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "7457", "arg2": "7463", "res": "-6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "7463", "res": "-0.1%"}], "program": "subtract(7457, 7463), divide(#0, 7463)", "gold_inds": {"table_1": "the net sales of 2012 is $ 7457 ; the net sales of 2011 is $ 7463 ; the net sales of 2010 is $ 6930 ;"}, "exe_ans": -0.0008, "tfidftopn": {"text_16": "2012 compared to 2011 mfc 2019s net sales for 2012 were comparable to 2011 .", "text_22": "adjustments not related to volume , including net profit booking rate adjustments and other matters described above , were approximately $ 145 million higher for 2012 compared to 2011. ."}, "program_re": "divide(subtract(7457, 7463), 7463)", "model_input": [["table_1", "the net sales of 2012 is $ 7457 ; the net sales of 2011 is $ 7463 ; the net sales of 2010 is $ 6930 ;"], ["text_16", "2012 compared to 2011 mfc 2019s net sales for 2012 were comparable to 2011 ."], ["text_19", "mfc 2019s operating profit for 2012 increased $ 187 million , or 17% ( 17 % ) , compared to 2011 ."]]}, "answers": ["-0.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001067", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total amount spent for stock repurchase during november 2007 , in millions?\nReference time interval: 2007-11-01 00:00:00 to 2007-12-01 00:00:00", "chosen": "127.7.", "rejected": "151.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total amount spent for stock repurchase <TIME> , in millions?", "doc_prefix": "AMT", "base_question": "what is the total amount spent for stock repurchase <TIME> , in millions?", "original_question": "what is the total amount spent for stock repurchase during november 2007 , in millions?", "reference_time": {"start": "2007-11-01 00:00:00", "end": "2007-12-01 00:00:00", "normalized_text": "2007-11", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"151.3": [{"start": "2007-10-01 00:00:00", "end": "2007-11-01 00:00:00", "normalized_text": "2007-10"}], "127.7": [{"start": "2007-11-01 00:00:00", "end": "2007-12-01 00:00:00", "normalized_text": "2007-11"}]}, "chosen_source": {"id": "AMT/2007/page_35.pdf-2", "qa": {"question": "what is the total amount spent for stock repurchase during november 2007 , in millions?", "answer": "127.7", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "2891719", "arg2": "44.16", "res": "127698311"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "127.7"}], "program": "multiply(2891719, 44.16), divide(#0, const_1000000)", "gold_inds": {"table_2": "period the november 2007 of total number of shares purchased ( 1 ) is 2891719 ; the november 2007 of average price paid per share is $ 44.16 ; the november 2007 of total number of shares purchased as part of publicly announced plans or programs is 2891719 ; the november 2007 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 322.2 ;"}, "exe_ans": 127.69831, "tfidftopn": {"text_1": "( 1 ) issuer repurchases pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 .", "text_0": "issuer purchases of equity securities during the three months ended december 31 , 2007 , we repurchased 8895570 shares of our class a common stock for an aggregate of $ 385.1 million pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 , as follows : period total number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced plans or programs approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) ."}, "program_re": "divide(multiply(2891719, 44.16), const_1000000)", "model_input": [["text_0", "issuer purchases of equity securities during the three months ended december 31 , 2007 , we repurchased 8895570 shares of our class a common stock for an aggregate of $ 385.1 million pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 , as follows : period total number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced plans or programs approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) ."], ["table_2", "period the november 2007 of total number of shares purchased ( 1 ) is 2891719 ; the november 2007 of average price paid per share is $ 44.16 ; the november 2007 of total number of shares purchased as part of publicly announced plans or programs is 2891719 ; the november 2007 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 322.2 ;"], ["text_4", "subsequent to december 31 , 2007 , we repurchased 4.3 million shares of our class a common stock for an aggregate of $ 163.7 million pursuant to this program ."]]}, "answers": ["127.7"]}, "rejected_source": {"id": "AMT/2007/page_35.pdf-3", "qa": {"question": "what is the total amount spent for stock repurchase during october 2007 , in millions?", "answer": "151.3", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "3493426", "arg2": "43.30", "res": "151265345.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000000", "res": "151.3"}], "program": "multiply(3493426, 43.30), divide(#0, const_1000000)", "gold_inds": {"table_1": "period the october 2007 of total number of shares purchased ( 1 ) is 3493426 ; the october 2007 of average price paid per share is $ 43.30 ; the october 2007 of total number of shares purchased as part of publicly announced plans or programs is 3493426 ; the october 2007 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 449.9 ;"}, "exe_ans": 151.26535, "tfidftopn": {"text_1": "( 1 ) issuer repurchases pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 .", "text_0": "issuer purchases of equity securities during the three months ended december 31 , 2007 , we repurchased 8895570 shares of our class a common stock for an aggregate of $ 385.1 million pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 , as follows : period total number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced plans or programs approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) ."}, "program_re": "divide(multiply(3493426, 43.30), const_1000000)", "model_input": [["text_0", "issuer purchases of equity securities during the three months ended december 31 , 2007 , we repurchased 8895570 shares of our class a common stock for an aggregate of $ 385.1 million pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 , as follows : period total number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced plans or programs approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) ."], ["table_1", "period the october 2007 of total number of shares purchased ( 1 ) is 3493426 ; the october 2007 of average price paid per share is $ 43.30 ; the october 2007 of total number of shares purchased as part of publicly announced plans or programs is 3493426 ; the october 2007 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 449.9 ;"], ["text_4", "subsequent to december 31 , 2007 , we repurchased 4.3 million shares of our class a common stock for an aggregate of $ 163.7 million pursuant to this program ."]]}, "answers": ["151.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001068", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total amount spent for stock repurchase during october 2007 , in millions?\nReference time interval: 2007-10-01 00:00:00 to 2007-11-01 00:00:00", "chosen": "151.3.", "rejected": "127.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total amount spent for stock repurchase <TIME> , in millions?", "doc_prefix": "AMT", "base_question": "what is the total amount spent for stock repurchase <TIME> , in millions?", "original_question": "what is the total amount spent for stock repurchase during october 2007 , in millions?", "reference_time": {"start": "2007-10-01 00:00:00", "end": "2007-11-01 00:00:00", "normalized_text": "2007-10", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"151.3": [{"start": "2007-10-01 00:00:00", "end": "2007-11-01 00:00:00", "normalized_text": "2007-10"}], "127.7": [{"start": "2007-11-01 00:00:00", "end": "2007-12-01 00:00:00", "normalized_text": "2007-11"}]}, "chosen_source": {"id": "AMT/2007/page_35.pdf-3", "qa": {"question": "what is the total amount spent for stock repurchase during october 2007 , in millions?", "answer": "151.3", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "3493426", "arg2": "43.30", "res": "151265345.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000000", "res": "151.3"}], "program": "multiply(3493426, 43.30), divide(#0, const_1000000)", "gold_inds": {"table_1": "period the october 2007 of total number of shares purchased ( 1 ) is 3493426 ; the october 2007 of average price paid per share is $ 43.30 ; the october 2007 of total number of shares purchased as part of publicly announced plans or programs is 3493426 ; the october 2007 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 449.9 ;"}, "exe_ans": 151.26535, "tfidftopn": {"text_1": "( 1 ) issuer repurchases pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 .", "text_0": "issuer purchases of equity securities during the three months ended december 31 , 2007 , we repurchased 8895570 shares of our class a common stock for an aggregate of $ 385.1 million pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 , as follows : period total number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced plans or programs approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) ."}, "program_re": "divide(multiply(3493426, 43.30), const_1000000)", "model_input": [["text_0", "issuer purchases of equity securities during the three months ended december 31 , 2007 , we repurchased 8895570 shares of our class a common stock for an aggregate of $ 385.1 million pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 , as follows : period total number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced plans or programs approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) ."], ["table_1", "period the october 2007 of total number of shares purchased ( 1 ) is 3493426 ; the october 2007 of average price paid per share is $ 43.30 ; the october 2007 of total number of shares purchased as part of publicly announced plans or programs is 3493426 ; the october 2007 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 449.9 ;"], ["text_4", "subsequent to december 31 , 2007 , we repurchased 4.3 million shares of our class a common stock for an aggregate of $ 163.7 million pursuant to this program ."]]}, "answers": ["151.3"]}, "rejected_source": {"id": "AMT/2007/page_35.pdf-2", "qa": {"question": "what is the total amount spent for stock repurchase during november 2007 , in millions?", "answer": "127.7", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "2891719", "arg2": "44.16", "res": "127698311"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "127.7"}], "program": "multiply(2891719, 44.16), divide(#0, const_1000000)", "gold_inds": {"table_2": "period the november 2007 of total number of shares purchased ( 1 ) is 2891719 ; the november 2007 of average price paid per share is $ 44.16 ; the november 2007 of total number of shares purchased as part of publicly announced plans or programs is 2891719 ; the november 2007 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 322.2 ;"}, "exe_ans": 127.69831, "tfidftopn": {"text_1": "( 1 ) issuer repurchases pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 .", "text_0": "issuer purchases of equity securities during the three months ended december 31 , 2007 , we repurchased 8895570 shares of our class a common stock for an aggregate of $ 385.1 million pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 , as follows : period total number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced plans or programs approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) ."}, "program_re": "divide(multiply(2891719, 44.16), const_1000000)", "model_input": [["text_0", "issuer purchases of equity securities during the three months ended december 31 , 2007 , we repurchased 8895570 shares of our class a common stock for an aggregate of $ 385.1 million pursuant to the $ 1.5 billion stock repurchase program publicly announced in february 2007 , as follows : period total number of shares purchased ( 1 ) average price paid per share total number of shares purchased as part of publicly announced plans or programs approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) ."], ["table_2", "period the november 2007 of total number of shares purchased ( 1 ) is 2891719 ; the november 2007 of average price paid per share is $ 44.16 ; the november 2007 of total number of shares purchased as part of publicly announced plans or programs is 2891719 ; the november 2007 of approximate dollar value of shares that may yet be purchased under the plans or programs ( in millions ) is $ 322.2 ;"], ["text_4", "subsequent to december 31 , 2007 , we repurchased 4.3 million shares of our class a common stock for an aggregate of $ 163.7 million pursuant to this program ."]]}, "answers": ["127.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001069", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "3.9%.", "rejected": "4.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2004/page_91.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2002 to 2003?", "answer": "3.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "113956000", "arg2": "109644000", "res": "4312000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "109644000", "res": "3.9%"}], "program": "subtract(113956000, 109644000), divide(#0, 109644000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.03933, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_10": "hedge ineffectiveness resulted in a gain of approximately $ 1.0 million for the year ended december 31 , 2002 , which is recorded in other expense in the accompanying consolidated statement of operations ."}, "program_re": "divide(subtract(113956000, 109644000), 109644000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["3.9%"]}, "rejected_source": {"id": "AMT/2007/page_116.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2006 to 2007?", "answer": "4.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus1-1", "arg1": "246.4", "arg2": "237.0", "res": "9.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "237.0", "res": "4.0%"}], "program": "subtract(246.4, 237.0), divide(#0, 237.0)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.03966, "tfidftopn": {"text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 .", "text_14": "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."}, "program_re": "divide(subtract(246.4, 237.0), 237.0)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["4.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001070", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "3.9%.", "rejected": "4.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2004/page_91.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2002 to 2003?", "answer": "3.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "113956000", "arg2": "109644000", "res": "4312000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "109644000", "res": "3.9%"}], "program": "subtract(113956000, 109644000), divide(#0, 109644000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.03933, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_10": "hedge ineffectiveness resulted in a gain of approximately $ 1.0 million for the year ended december 31 , 2002 , which is recorded in other expense in the accompanying consolidated statement of operations ."}, "program_re": "divide(subtract(113956000, 109644000), 109644000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["3.9%"]}, "rejected_source": {"id": "AMT/2004/page_91.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2003 to 2004?", "answer": "4.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "118741000", "arg2": "113956000", "res": "4785000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "113956000", "res": "4.2%"}], "program": "subtract(118741000, 113956000), divide(#0, 113956000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.04199, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_7": "as of december 31 , 2004 and 2003 , there was no fair value associated with any of these interest rate caps ."}, "program_re": "divide(subtract(118741000, 113956000), 113956000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["4.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001071", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "3.9%.", "rejected": "40.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2004/page_91.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2002 to 2003?", "answer": "3.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "113956000", "arg2": "109644000", "res": "4312000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "109644000", "res": "3.9%"}], "program": "subtract(113956000, 109644000), divide(#0, 109644000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.03933, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_10": "hedge ineffectiveness resulted in a gain of approximately $ 1.0 million for the year ended december 31 , 2002 , which is recorded in other expense in the accompanying consolidated statement of operations ."}, "program_re": "divide(subtract(113956000, 109644000), 109644000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["3.9%"]}, "rejected_source": {"id": "AMT/2007/page_116.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2005 to 2006?", "answer": "40.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus2-1", "arg1": "237.0", "arg2": "168.7", "res": "68.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "168.7", "res": "40.5%"}], "program": "subtract(237.0, 168.7), divide(#0, 168.7)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.40486, "tfidftopn": {"text_4": "merger in august 2005 and were not designated as cash flow hedges .", "text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 ."}, "program_re": "divide(subtract(237.0, 168.7), 168.7)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["40.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001072", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "4.0%.", "rejected": "3.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2007/page_116.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2006 to 2007?", "answer": "4.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus1-1", "arg1": "246.4", "arg2": "237.0", "res": "9.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "237.0", "res": "4.0%"}], "program": "subtract(246.4, 237.0), divide(#0, 237.0)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.03966, "tfidftopn": {"text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 .", "text_14": "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."}, "program_re": "divide(subtract(246.4, 237.0), 237.0)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["4.0%"]}, "rejected_source": {"id": "AMT/2004/page_91.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2002 to 2003?", "answer": "3.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "113956000", "arg2": "109644000", "res": "4312000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "109644000", "res": "3.9%"}], "program": "subtract(113956000, 109644000), divide(#0, 109644000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.03933, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_10": "hedge ineffectiveness resulted in a gain of approximately $ 1.0 million for the year ended december 31 , 2002 , which is recorded in other expense in the accompanying consolidated statement of operations ."}, "program_re": "divide(subtract(113956000, 109644000), 109644000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["3.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001073", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "4.0%.", "rejected": "4.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2007/page_116.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2006 to 2007?", "answer": "4.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus1-1", "arg1": "246.4", "arg2": "237.0", "res": "9.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "237.0", "res": "4.0%"}], "program": "subtract(246.4, 237.0), divide(#0, 237.0)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.03966, "tfidftopn": {"text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 .", "text_14": "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."}, "program_re": "divide(subtract(246.4, 237.0), 237.0)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["4.0%"]}, "rejected_source": {"id": "AMT/2004/page_91.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2003 to 2004?", "answer": "4.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "118741000", "arg2": "113956000", "res": "4785000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "113956000", "res": "4.2%"}], "program": "subtract(118741000, 113956000), divide(#0, 113956000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.04199, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_7": "as of december 31 , 2004 and 2003 , there was no fair value associated with any of these interest rate caps ."}, "program_re": "divide(subtract(118741000, 113956000), 113956000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["4.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001074", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "4.0%.", "rejected": "40.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2007/page_116.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2006 to 2007?", "answer": "4.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus1-1", "arg1": "246.4", "arg2": "237.0", "res": "9.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "237.0", "res": "4.0%"}], "program": "subtract(246.4, 237.0), divide(#0, 237.0)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.03966, "tfidftopn": {"text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 .", "text_14": "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."}, "program_re": "divide(subtract(246.4, 237.0), 237.0)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["4.0%"]}, "rejected_source": {"id": "AMT/2007/page_116.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2005 to 2006?", "answer": "40.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus2-1", "arg1": "237.0", "arg2": "168.7", "res": "68.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "168.7", "res": "40.5%"}], "program": "subtract(237.0, 168.7), divide(#0, 168.7)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.40486, "tfidftopn": {"text_4": "merger in august 2005 and were not designated as cash flow hedges .", "text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 ."}, "program_re": "divide(subtract(237.0, 168.7), 168.7)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["40.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001075", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "4.2%.", "rejected": "3.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2004/page_91.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2003 to 2004?", "answer": "4.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "118741000", "arg2": "113956000", "res": "4785000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "113956000", "res": "4.2%"}], "program": "subtract(118741000, 113956000), divide(#0, 113956000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.04199, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_7": "as of december 31 , 2004 and 2003 , there was no fair value associated with any of these interest rate caps ."}, "program_re": "divide(subtract(118741000, 113956000), 113956000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["4.2%"]}, "rejected_source": {"id": "AMT/2004/page_91.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2002 to 2003?", "answer": "3.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "113956000", "arg2": "109644000", "res": "4312000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "109644000", "res": "3.9%"}], "program": "subtract(113956000, 109644000), divide(#0, 109644000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.03933, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_10": "hedge ineffectiveness resulted in a gain of approximately $ 1.0 million for the year ended december 31 , 2002 , which is recorded in other expense in the accompanying consolidated statement of operations ."}, "program_re": "divide(subtract(113956000, 109644000), 109644000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["3.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001076", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "4.2%.", "rejected": "4.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2004/page_91.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2003 to 2004?", "answer": "4.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "118741000", "arg2": "113956000", "res": "4785000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "113956000", "res": "4.2%"}], "program": "subtract(118741000, 113956000), divide(#0, 113956000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.04199, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_7": "as of december 31 , 2004 and 2003 , there was no fair value associated with any of these interest rate caps ."}, "program_re": "divide(subtract(118741000, 113956000), 113956000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["4.2%"]}, "rejected_source": {"id": "AMT/2007/page_116.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2006 to 2007?", "answer": "4.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus1-1", "arg1": "246.4", "arg2": "237.0", "res": "9.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "237.0", "res": "4.0%"}], "program": "subtract(246.4, 237.0), divide(#0, 237.0)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.03966, "tfidftopn": {"text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 .", "text_14": "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."}, "program_re": "divide(subtract(246.4, 237.0), 237.0)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["4.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001077", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "4.2%.", "rejected": "40.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2004/page_91.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2003 to 2004?", "answer": "4.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "118741000", "arg2": "113956000", "res": "4785000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "113956000", "res": "4.2%"}], "program": "subtract(118741000, 113956000), divide(#0, 113956000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.04199, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_7": "as of december 31 , 2004 and 2003 , there was no fair value associated with any of these interest rate caps ."}, "program_re": "divide(subtract(118741000, 113956000), 113956000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["4.2%"]}, "rejected_source": {"id": "AMT/2007/page_116.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2005 to 2006?", "answer": "40.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus2-1", "arg1": "237.0", "arg2": "168.7", "res": "68.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "168.7", "res": "40.5%"}], "program": "subtract(237.0, 168.7), divide(#0, 168.7)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.40486, "tfidftopn": {"text_4": "merger in august 2005 and were not designated as cash flow hedges .", "text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 ."}, "program_re": "divide(subtract(237.0, 168.7), 168.7)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["40.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001078", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "40.5%.", "rejected": "3.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2007/page_116.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2005 to 2006?", "answer": "40.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus2-1", "arg1": "237.0", "arg2": "168.7", "res": "68.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "168.7", "res": "40.5%"}], "program": "subtract(237.0, 168.7), divide(#0, 168.7)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.40486, "tfidftopn": {"text_4": "merger in august 2005 and were not designated as cash flow hedges .", "text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 ."}, "program_re": "divide(subtract(237.0, 168.7), 168.7)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["40.5%"]}, "rejected_source": {"id": "AMT/2004/page_91.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2002 to 2003?", "answer": "3.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "113956000", "arg2": "109644000", "res": "4312000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "109644000", "res": "3.9%"}], "program": "subtract(113956000, 109644000), divide(#0, 109644000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.03933, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_10": "hedge ineffectiveness resulted in a gain of approximately $ 1.0 million for the year ended december 31 , 2002 , which is recorded in other expense in the accompanying consolidated statement of operations ."}, "program_re": "divide(subtract(113956000, 109644000), 109644000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["3.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001079", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "40.5%.", "rejected": "4.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2007/page_116.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2005 to 2006?", "answer": "40.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus2-1", "arg1": "237.0", "arg2": "168.7", "res": "68.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "168.7", "res": "40.5%"}], "program": "subtract(237.0, 168.7), divide(#0, 168.7)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.40486, "tfidftopn": {"text_4": "merger in august 2005 and were not designated as cash flow hedges .", "text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 ."}, "program_re": "divide(subtract(237.0, 168.7), 168.7)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["40.5%"]}, "rejected_source": {"id": "AMT/2007/page_116.pdf-2", "qa": {"question": "what is the percentage change in aggregate rent expense from 2006 to 2007?", "answer": "4.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus1-1", "arg1": "246.4", "arg2": "237.0", "res": "9.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "237.0", "res": "4.0%"}], "program": "subtract(246.4, 237.0), divide(#0, 237.0)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.03966, "tfidftopn": {"text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 .", "text_14": "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."}, "program_re": "divide(subtract(246.4, 237.0), 237.0)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["4.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001080", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in aggregate rent expense from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "40.5%.", "rejected": "4.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in aggregate rent expense <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in aggregate rent expense <TIME>?", "original_question": "what is the percentage change in aggregate rent expense from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "4.2%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "40.5%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "4.0%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AMT/2007/page_116.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2005 to 2006?", "answer": "40.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [15], "steps": [{"op": "minus2-1", "arg1": "237.0", "arg2": "168.7", "res": "68.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "168.7", "res": "40.5%"}], "program": "subtract(237.0, 168.7), divide(#0, 168.7)", "gold_inds": {"text_15": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."}, "exe_ans": 0.40486, "tfidftopn": {"text_4": "merger in august 2005 and were not designated as cash flow hedges .", "text_8": "during the year ended december 31 , 2006 , the company recorded a net unrealized gain of approximately $ 6.5 million ( net of a tax provision of approximately $ 3.5 million ) in other comprehensive loss for the change in fair value of interest rate swaps designated as cash flow hedges and reclassified $ 0.7 million ( net of an income tax benefit of $ 0.2 million ) into results of operations during the year ended december 31 , 2006 ."}, "program_re": "divide(subtract(237.0, 168.7), 168.7)", "model_input": [["text_14", "such payments in effect at december 31 , 2007 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2008 the total of $ 217969 is $ 3483072 ;"], ["text_15", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2007 , 2006 and 2005 approximated $ 246.4 million , $ 237.0 million and $ 168.7 million , respectively. ."]]}, "answers": ["40.5%"]}, "rejected_source": {"id": "AMT/2004/page_91.pdf-4", "qa": {"question": "what is the percentage change in aggregate rent expense from 2003 to 2004?", "answer": "4.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "118741000", "arg2": "113956000", "res": "4785000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "113956000", "res": "4.2%"}], "program": "subtract(118741000, 113956000), divide(#0, 113956000)", "gold_inds": {"text_19": "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."}, "exe_ans": 0.04199, "tfidftopn": {"text_6": "as of december 31 , 2003 , the company had three interest rate caps outstanding with an aggregate notional amount of $ 500.0 million ( each at a rate of 5.0% ( 5.0 % ) ) that expired in 2004 .", "text_7": "as of december 31 , 2004 and 2003 , there was no fair value associated with any of these interest rate caps ."}, "program_re": "divide(subtract(118741000, 113956000), 113956000)", "model_input": [["text_18", "such payments in effect at december 31 , 2004 are as follows ( in thousands ) : year ending december 31 ."], ["table_6", "2005 the total of $ 106116 is $ 2101046 ;"], ["text_19", "aggregate rent expense ( including the effect of straight-line rent expense ) under operating leases for the years ended december 31 , 2004 , 2003 and 2002 approximated $ 118741000 , $ 113956000 , and $ 109644000 , respectively. ."]]}, "answers": ["4.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001081", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the rate of return of an investment in ups from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "16.4%.", "rejected": "19.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what is the rate of return of an investment in ups <TIME>?", "doc_prefix": "UPS", "base_question": "what is the rate of return of an investment in ups <TIME>?", "original_question": "what is the rate of return of an investment in ups from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"19.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "16.4%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}]}, "chosen_source": {"id": "UPS/2007/page_32.pdf-2", "qa": {"question": "what is the rate of return of an investment in ups from 2003 to 2004?", "answer": "16.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "139.55", "arg2": "119.89", "res": "19.66"}, {"op": "divide2-2", "arg1": "#0", "arg2": "119.89", "res": "16.4%"}], "program": "subtract(139.55, 119.89), divide(#0, 119.89)", "gold_inds": {"table_1": "the united parcel service inc . of 12/31/02 is $ 100.00 ; the united parcel service inc . of 12/31/03 is $ 119.89 ; the united parcel service inc . of 12/31/04 is $ 139.55 ; the united parcel service inc . of 12/31/05 is $ 124.88 ; the united parcel service inc . of 12/31/06 is $ 127.08 ; the united parcel service inc . of 12/31/07 is $ 122.64 ;"}, "exe_ans": 0.16398, "tfidftopn": {"text_2": "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2002 in the s&p 500 index , the dow jones transportation average , and the class b common stock of united parcel service , inc .", "text_3": "comparison of five year cumulative total return $ 40.00 $ 60.00 $ 80.00 $ 100.00 $ 120.00 $ 140.00 $ 160.00 $ 180.00 $ 200.00 $ 220.00 2002 20072006200520042003 s&p 500 ups dj transport ."}, "program_re": "divide(subtract(139.55, 119.89), 119.89)", "model_input": [["text_2", "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2002 in the s&p 500 index , the dow jones transportation average , and the class b common stock of united parcel service , inc ."], ["text_3", "comparison of five year cumulative total return $ 40.00 $ 60.00 $ 80.00 $ 100.00 $ 120.00 $ 140.00 $ 160.00 $ 180.00 $ 200.00 $ 220.00 2002 20072006200520042003 s&p 500 ups dj transport ."], ["table_1", "the united parcel service inc . of 12/31/02 is $ 100.00 ; the united parcel service inc . of 12/31/03 is $ 119.89 ; the united parcel service inc . of 12/31/04 is $ 139.55 ; the united parcel service inc . of 12/31/05 is $ 124.88 ; the united parcel service inc . of 12/31/06 is $ 127.08 ; the united parcel service inc . of 12/31/07 is $ 122.64 ;"]]}, "answers": ["16.4%"]}, "rejected_source": {"id": "UPS/2007/page_32.pdf-1", "qa": {"question": "what is the rate of return of an investment in ups from 2002 to 2003?", "answer": "19.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "119.89", "arg2": "const_100", "res": "19.89"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "19.9%"}], "program": "subtract(119.89, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the united parcel service inc . of 12/31/02 is $ 100.00 ; the united parcel service inc . of 12/31/03 is $ 119.89 ; the united parcel service inc . of 12/31/04 is $ 139.55 ; the united parcel service inc . of 12/31/05 is $ 124.88 ; the united parcel service inc . of 12/31/06 is $ 127.08 ; the united parcel service inc . of 12/31/07 is $ 122.64 ;"}, "exe_ans": 0.1989, "tfidftopn": {"text_2": "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2002 in the s&p 500 index , the dow jones transportation average , and the class b common stock of united parcel service , inc .", "text_3": "comparison of five year cumulative total return $ 40.00 $ 60.00 $ 80.00 $ 100.00 $ 120.00 $ 140.00 $ 160.00 $ 180.00 $ 200.00 $ 220.00 2002 20072006200520042003 s&p 500 ups dj transport ."}, "program_re": "divide(subtract(119.89, const_100), const_100)", "model_input": [["text_2", "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2002 in the s&p 500 index , the dow jones transportation average , and the class b common stock of united parcel service , inc ."], ["text_3", "comparison of five year cumulative total return $ 40.00 $ 60.00 $ 80.00 $ 100.00 $ 120.00 $ 140.00 $ 160.00 $ 180.00 $ 200.00 $ 220.00 2002 20072006200520042003 s&p 500 ups dj transport ."], ["table_1", "the united parcel service inc . of 12/31/02 is $ 100.00 ; the united parcel service inc . of 12/31/03 is $ 119.89 ; the united parcel service inc . of 12/31/04 is $ 139.55 ; the united parcel service inc . of 12/31/05 is $ 124.88 ; the united parcel service inc . of 12/31/06 is $ 127.08 ; the united parcel service inc . of 12/31/07 is $ 122.64 ;"]]}, "answers": ["19.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001082", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the rate of return of an investment in ups from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "19.9%.", "rejected": "16.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what is the rate of return of an investment in ups <TIME>?", "doc_prefix": "UPS", "base_question": "what is the rate of return of an investment in ups <TIME>?", "original_question": "what is the rate of return of an investment in ups from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"19.9%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "16.4%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}]}, "chosen_source": {"id": "UPS/2007/page_32.pdf-1", "qa": {"question": "what is the rate of return of an investment in ups from 2002 to 2003?", "answer": "19.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "119.89", "arg2": "const_100", "res": "19.89"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "19.9%"}], "program": "subtract(119.89, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the united parcel service inc . of 12/31/02 is $ 100.00 ; the united parcel service inc . of 12/31/03 is $ 119.89 ; the united parcel service inc . of 12/31/04 is $ 139.55 ; the united parcel service inc . of 12/31/05 is $ 124.88 ; the united parcel service inc . of 12/31/06 is $ 127.08 ; the united parcel service inc . of 12/31/07 is $ 122.64 ;"}, "exe_ans": 0.1989, "tfidftopn": {"text_2": "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2002 in the s&p 500 index , the dow jones transportation average , and the class b common stock of united parcel service , inc .", "text_3": "comparison of five year cumulative total return $ 40.00 $ 60.00 $ 80.00 $ 100.00 $ 120.00 $ 140.00 $ 160.00 $ 180.00 $ 200.00 $ 220.00 2002 20072006200520042003 s&p 500 ups dj transport ."}, "program_re": "divide(subtract(119.89, const_100), const_100)", "model_input": [["text_2", "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2002 in the s&p 500 index , the dow jones transportation average , and the class b common stock of united parcel service , inc ."], ["text_3", "comparison of five year cumulative total return $ 40.00 $ 60.00 $ 80.00 $ 100.00 $ 120.00 $ 140.00 $ 160.00 $ 180.00 $ 200.00 $ 220.00 2002 20072006200520042003 s&p 500 ups dj transport ."], ["table_1", "the united parcel service inc . of 12/31/02 is $ 100.00 ; the united parcel service inc . of 12/31/03 is $ 119.89 ; the united parcel service inc . of 12/31/04 is $ 139.55 ; the united parcel service inc . of 12/31/05 is $ 124.88 ; the united parcel service inc . of 12/31/06 is $ 127.08 ; the united parcel service inc . of 12/31/07 is $ 122.64 ;"]]}, "answers": ["19.9%"]}, "rejected_source": {"id": "UPS/2007/page_32.pdf-2", "qa": {"question": "what is the rate of return of an investment in ups from 2003 to 2004?", "answer": "16.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "139.55", "arg2": "119.89", "res": "19.66"}, {"op": "divide2-2", "arg1": "#0", "arg2": "119.89", "res": "16.4%"}], "program": "subtract(139.55, 119.89), divide(#0, 119.89)", "gold_inds": {"table_1": "the united parcel service inc . of 12/31/02 is $ 100.00 ; the united parcel service inc . of 12/31/03 is $ 119.89 ; the united parcel service inc . of 12/31/04 is $ 139.55 ; the united parcel service inc . of 12/31/05 is $ 124.88 ; the united parcel service inc . of 12/31/06 is $ 127.08 ; the united parcel service inc . of 12/31/07 is $ 122.64 ;"}, "exe_ans": 0.16398, "tfidftopn": {"text_2": "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2002 in the s&p 500 index , the dow jones transportation average , and the class b common stock of united parcel service , inc .", "text_3": "comparison of five year cumulative total return $ 40.00 $ 60.00 $ 80.00 $ 100.00 $ 120.00 $ 140.00 $ 160.00 $ 180.00 $ 200.00 $ 220.00 2002 20072006200520042003 s&p 500 ups dj transport ."}, "program_re": "divide(subtract(139.55, 119.89), 119.89)", "model_input": [["text_2", "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2002 in the s&p 500 index , the dow jones transportation average , and the class b common stock of united parcel service , inc ."], ["text_3", "comparison of five year cumulative total return $ 40.00 $ 60.00 $ 80.00 $ 100.00 $ 120.00 $ 140.00 $ 160.00 $ 180.00 $ 200.00 $ 220.00 2002 20072006200520042003 s&p 500 ups dj transport ."], ["table_1", "the united parcel service inc . of 12/31/02 is $ 100.00 ; the united parcel service inc . of 12/31/03 is $ 119.89 ; the united parcel service inc . of 12/31/04 is $ 139.55 ; the united parcel service inc . of 12/31/05 is $ 124.88 ; the united parcel service inc . of 12/31/06 is $ 127.08 ; the united parcel service inc . of 12/31/07 is $ 122.64 ;"]]}, "answers": ["16.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001083", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in entergy mississippi 2019s receivables from the money pool from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-15335.", "rejected": "25286.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in entergy mississippi 2019s receivables from the money pool <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in entergy mississippi 2019s receivables from the money pool <TIME>?", "original_question": "what is the net change in entergy mississippi 2019s receivables from the money pool from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25286": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-15335": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "ETR/2016/page_382.pdf-1", "qa": {"question": "what is the net change in entergy mississippi 2019s receivables from the money pool from 2015 to 2016?", "answer": "-15335", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "10595", "arg2": "25930", "res": "-15335"}], "program": "subtract(10595, 25930)", "gold_inds": {"table_2": "2016 the $ 10595 of 2015 is $ 25930 ; the $ 10595 of 2014 is $ 644 ; the $ 10595 of 2013 is ( $ 3536 ) ;"}, "exe_ans": -15335.0, "tfidftopn": {"text_1": "management 2019s financial discussion and analysis entergy mississippi 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. .", "text_2": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "subtract(10595, 25930)", "model_input": [["text_1", "management 2019s financial discussion and analysis entergy mississippi 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the $ 10595 of 2015 is $ 25930 ; the $ 10595 of 2014 is $ 644 ; the $ 10595 of 2013 is ( $ 3536 ) ;"]]}, "answers": ["-15335"]}, "rejected_source": {"id": "ETR/2016/page_382.pdf-4", "qa": {"question": "what is the net change in entergy mississippi 2019s receivables from the money pool from 2014 to 2015?", "answer": "25286", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "25930", "arg2": "644", "res": "25286"}], "program": "subtract(25930, 644)", "gold_inds": {"table_2": "2016 the $ 10595 of 2015 is $ 25930 ; the $ 10595 of 2014 is $ 644 ; the $ 10595 of 2013 is ( $ 3536 ) ;"}, "exe_ans": 25286.0, "tfidftopn": {"text_1": "management 2019s financial discussion and analysis entergy mississippi 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. .", "text_2": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "subtract(25930, 644)", "model_input": [["text_1", "management 2019s financial discussion and analysis entergy mississippi 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the $ 10595 of 2015 is $ 25930 ; the $ 10595 of 2014 is $ 644 ; the $ 10595 of 2013 is ( $ 3536 ) ;"]]}, "answers": ["25286"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001084", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in entergy mississippi 2019s receivables from the money pool from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "25286.", "rejected": "-15335.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the net change in entergy mississippi 2019s receivables from the money pool <TIME>?", "doc_prefix": "ETR", "base_question": "what is the net change in entergy mississippi 2019s receivables from the money pool <TIME>?", "original_question": "what is the net change in entergy mississippi 2019s receivables from the money pool from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25286": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-15335": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "ETR/2016/page_382.pdf-4", "qa": {"question": "what is the net change in entergy mississippi 2019s receivables from the money pool from 2014 to 2015?", "answer": "25286", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "25930", "arg2": "644", "res": "25286"}], "program": "subtract(25930, 644)", "gold_inds": {"table_2": "2016 the $ 10595 of 2015 is $ 25930 ; the $ 10595 of 2014 is $ 644 ; the $ 10595 of 2013 is ( $ 3536 ) ;"}, "exe_ans": 25286.0, "tfidftopn": {"text_1": "management 2019s financial discussion and analysis entergy mississippi 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. .", "text_2": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "subtract(25930, 644)", "model_input": [["text_1", "management 2019s financial discussion and analysis entergy mississippi 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the $ 10595 of 2015 is $ 25930 ; the $ 10595 of 2014 is $ 644 ; the $ 10595 of 2013 is ( $ 3536 ) ;"]]}, "answers": ["25286"]}, "rejected_source": {"id": "ETR/2016/page_382.pdf-1", "qa": {"question": "what is the net change in entergy mississippi 2019s receivables from the money pool from 2015 to 2016?", "answer": "-15335", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "10595", "arg2": "25930", "res": "-15335"}], "program": "subtract(10595, 25930)", "gold_inds": {"table_2": "2016 the $ 10595 of 2015 is $ 25930 ; the $ 10595 of 2014 is $ 644 ; the $ 10595 of 2013 is ( $ 3536 ) ;"}, "exe_ans": -15335.0, "tfidftopn": {"text_1": "management 2019s financial discussion and analysis entergy mississippi 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. .", "text_2": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "subtract(10595, 25930)", "model_input": [["text_1", "management 2019s financial discussion and analysis entergy mississippi 2019s receivables from or ( payables to ) the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2016 the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ; the ( in thousands ) of 2013 is ( in thousands ) ;"], ["table_2", "2016 the $ 10595 of 2015 is $ 25930 ; the $ 10595 of 2014 is $ 644 ; the $ 10595 of 2013 is ( $ 3536 ) ;"]]}, "answers": ["-15335"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001085", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "89.72%.", "rejected": "95.75%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/<TIME>?", "doc_prefix": "UPS", "base_question": "what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/<TIME>?", "original_question": "what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"89.72%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "95.75%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "UPS/2016/page_34.pdf-2", "qa": {"question": "what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/2016?", "answer": "89.72%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "189.72", "arg2": "const_100", "res": "89.72"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "89.72%"}], "program": "subtract(189.72, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the united parcel service inc . of 12/31/2011 is $ 100.00 ; the united parcel service inc . of 12/31/2012 is $ 103.84 ; the united parcel service inc . of 12/31/2013 is $ 152.16 ; the united parcel service inc . of 12/31/2014 is $ 165.35 ; the united parcel service inc . of 12/31/2015 is $ 154.61 ; the united parcel service inc . of 12/31/2016 is $ 189.72 ;"}, "exe_ans": 0.8972, "tfidftopn": {"text_1": "the following graph shows a five year comparison of cumulative total shareowners 2019 returns for our class b common stock , the standard & poor 2019s 500 index and the dow jones transportation average .", "table_3": "The dow jones transportation average of 12/31/2011 is $ 100.00 ; The dow jones transportation average of 12/31/2012 is $ 107.49 ; The dow jones transportation average of 12/31/2013 is $ 151.97 ; The dow jones transportation average of 12/31/2014 is $ 190.07 ; The dow jones transportation average of 12/31/2015 is $ 158.22 ; The dow jones transportation average of 12/31/2016 is $ 192.80 ;"}, "program_re": "divide(subtract(189.72, const_100), const_100)", "model_input": [["text_2", "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2011 in the standard & poor 2019s 500 index , the dow jones transportation average and our class b common stock. ."], ["table_1", "the united parcel service inc . of 12/31/2011 is $ 100.00 ; the united parcel service inc . of 12/31/2012 is $ 103.84 ; the united parcel service inc . of 12/31/2013 is $ 152.16 ; the united parcel service inc . of 12/31/2014 is $ 165.35 ; the united parcel service inc . of 12/31/2015 is $ 154.61 ; the united parcel service inc . of 12/31/2016 is $ 189.72 ;"], ["table_2", "the standard & poor 2019s 500 index of 12/31/2011 is $ 100.00 ; the standard & poor 2019s 500 index of 12/31/2012 is $ 115.99 ; the standard & poor 2019s 500 index of 12/31/2013 is $ 153.54 ; the standard & poor 2019s 500 index of 12/31/2014 is $ 174.54 ; the standard & poor 2019s 500 index of 12/31/2015 is $ 176.94 ; the standard & poor 2019s 500 index of 12/31/2016 is $ 198.09 ;"]]}, "answers": ["89.72%"]}, "rejected_source": {"id": "UPS/2017/page_31.pdf-2", "qa": {"question": "what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/2017?", "answer": "95.75%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "195.75", "arg2": "const_100", "res": "95.75"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "95.75%"}], "program": "subtract(195.75, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the united parcel service inc . of 12/31/2012 is $ 100.00 ; the united parcel service inc . of 12/31/2013 is $ 146.54 ; the united parcel service inc . of 12/31/2014 is $ 159.23 ; the united parcel service inc . of 12/31/2015 is $ 148.89 ; the united parcel service inc . of 12/31/2016 is $ 182.70 ; the united parcel service inc . of 12/31/2017 is $ 195.75 ;"}, "exe_ans": 0.9575, "tfidftopn": {"text_1": "the following graph shows a five-year comparison of cumulative total shareowners 2019 returns for our class b common stock , the standard & poor 2019s 500 index and the dow jones transportation average .", "table_3": "The dow jones transportation average of 12/31/2012 is $ 100.00 ; The dow jones transportation average of 12/31/2013 is $ 141.38 ; The dow jones transportation average of 12/31/2014 is $ 176.83 ; The dow jones transportation average of 12/31/2015 is $ 147.19 ; The dow jones transportation average of 12/31/2016 is $ 179.37 ; The dow jones transportation average of 12/31/2017 is $ 213.49 ;"}, "program_re": "divide(subtract(195.75, const_100), const_100)", "model_input": [["text_2", "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2012 in the standard & poor 2019s 500 index , the dow jones transportation average and our class b common stock. ."], ["table_1", "the united parcel service inc . of 12/31/2012 is $ 100.00 ; the united parcel service inc . of 12/31/2013 is $ 146.54 ; the united parcel service inc . of 12/31/2014 is $ 159.23 ; the united parcel service inc . of 12/31/2015 is $ 148.89 ; the united parcel service inc . of 12/31/2016 is $ 182.70 ; the united parcel service inc . of 12/31/2017 is $ 195.75 ;"], ["table_2", "the standard & poor 2019s 500 index of 12/31/2012 is $ 100.00 ; the standard & poor 2019s 500 index of 12/31/2013 is $ 132.38 ; the standard & poor 2019s 500 index of 12/31/2014 is $ 150.49 ; the standard & poor 2019s 500 index of 12/31/2015 is $ 152.55 ; the standard & poor 2019s 500 index of 12/31/2016 is $ 170.79 ; the standard & poor 2019s 500 index of 12/31/2017 is $ 208.06 ;"]]}, "answers": ["95.75%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001086", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "95.75%.", "rejected": "89.72%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UPS || what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/<TIME>?", "doc_prefix": "UPS", "base_question": "what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/<TIME>?", "original_question": "what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"89.72%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "95.75%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "UPS/2017/page_31.pdf-2", "qa": {"question": "what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/2017?", "answer": "95.75%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "195.75", "arg2": "const_100", "res": "95.75"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "95.75%"}], "program": "subtract(195.75, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the united parcel service inc . of 12/31/2012 is $ 100.00 ; the united parcel service inc . of 12/31/2013 is $ 146.54 ; the united parcel service inc . of 12/31/2014 is $ 159.23 ; the united parcel service inc . of 12/31/2015 is $ 148.89 ; the united parcel service inc . of 12/31/2016 is $ 182.70 ; the united parcel service inc . of 12/31/2017 is $ 195.75 ;"}, "exe_ans": 0.9575, "tfidftopn": {"text_1": "the following graph shows a five-year comparison of cumulative total shareowners 2019 returns for our class b common stock , the standard & poor 2019s 500 index and the dow jones transportation average .", "table_3": "The dow jones transportation average of 12/31/2012 is $ 100.00 ; The dow jones transportation average of 12/31/2013 is $ 141.38 ; The dow jones transportation average of 12/31/2014 is $ 176.83 ; The dow jones transportation average of 12/31/2015 is $ 147.19 ; The dow jones transportation average of 12/31/2016 is $ 179.37 ; The dow jones transportation average of 12/31/2017 is $ 213.49 ;"}, "program_re": "divide(subtract(195.75, const_100), const_100)", "model_input": [["text_2", "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2012 in the standard & poor 2019s 500 index , the dow jones transportation average and our class b common stock. ."], ["table_1", "the united parcel service inc . of 12/31/2012 is $ 100.00 ; the united parcel service inc . of 12/31/2013 is $ 146.54 ; the united parcel service inc . of 12/31/2014 is $ 159.23 ; the united parcel service inc . of 12/31/2015 is $ 148.89 ; the united parcel service inc . of 12/31/2016 is $ 182.70 ; the united parcel service inc . of 12/31/2017 is $ 195.75 ;"], ["table_2", "the standard & poor 2019s 500 index of 12/31/2012 is $ 100.00 ; the standard & poor 2019s 500 index of 12/31/2013 is $ 132.38 ; the standard & poor 2019s 500 index of 12/31/2014 is $ 150.49 ; the standard & poor 2019s 500 index of 12/31/2015 is $ 152.55 ; the standard & poor 2019s 500 index of 12/31/2016 is $ 170.79 ; the standard & poor 2019s 500 index of 12/31/2017 is $ 208.06 ;"]]}, "answers": ["95.75%"]}, "rejected_source": {"id": "UPS/2016/page_34.pdf-2", "qa": {"question": "what was the percentage cumulative total shareowners return for united parcel service inc . for the five years ended 12/31/2016?", "answer": "89.72%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "189.72", "arg2": "const_100", "res": "89.72"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "89.72%"}], "program": "subtract(189.72, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the united parcel service inc . of 12/31/2011 is $ 100.00 ; the united parcel service inc . of 12/31/2012 is $ 103.84 ; the united parcel service inc . of 12/31/2013 is $ 152.16 ; the united parcel service inc . of 12/31/2014 is $ 165.35 ; the united parcel service inc . of 12/31/2015 is $ 154.61 ; the united parcel service inc . of 12/31/2016 is $ 189.72 ;"}, "exe_ans": 0.8972, "tfidftopn": {"text_1": "the following graph shows a five year comparison of cumulative total shareowners 2019 returns for our class b common stock , the standard & poor 2019s 500 index and the dow jones transportation average .", "table_3": "The dow jones transportation average of 12/31/2011 is $ 100.00 ; The dow jones transportation average of 12/31/2012 is $ 107.49 ; The dow jones transportation average of 12/31/2013 is $ 151.97 ; The dow jones transportation average of 12/31/2014 is $ 190.07 ; The dow jones transportation average of 12/31/2015 is $ 158.22 ; The dow jones transportation average of 12/31/2016 is $ 192.80 ;"}, "program_re": "divide(subtract(189.72, const_100), const_100)", "model_input": [["text_2", "the comparison of the total cumulative return on investment , which is the change in the quarterly stock price plus reinvested dividends for each of the quarterly periods , assumes that $ 100 was invested on december 31 , 2011 in the standard & poor 2019s 500 index , the dow jones transportation average and our class b common stock. ."], ["table_1", "the united parcel service inc . of 12/31/2011 is $ 100.00 ; the united parcel service inc . of 12/31/2012 is $ 103.84 ; the united parcel service inc . of 12/31/2013 is $ 152.16 ; the united parcel service inc . of 12/31/2014 is $ 165.35 ; the united parcel service inc . of 12/31/2015 is $ 154.61 ; the united parcel service inc . of 12/31/2016 is $ 189.72 ;"], ["table_2", "the standard & poor 2019s 500 index of 12/31/2011 is $ 100.00 ; the standard & poor 2019s 500 index of 12/31/2012 is $ 115.99 ; the standard & poor 2019s 500 index of 12/31/2013 is $ 153.54 ; the standard & poor 2019s 500 index of 12/31/2014 is $ 174.54 ; the standard & poor 2019s 500 index of 12/31/2015 is $ 176.94 ; the standard & poor 2019s 500 index of 12/31/2016 is $ 198.09 ;"]]}, "answers": ["89.72%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001087", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in total gross amount of unrecognized tax benefits from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-1.9%.", "rejected": "-15.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "original_question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.3%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-1.9%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-15.2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "ADBE/2013/page_84.pdf-3", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2011 to 2012?", "answer": "-1.9%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "160468", "arg2": "163607", "res": "-3139"}, {"op": "divide2-2", "arg1": "#0", "arg2": "163607", "res": "-1.9%"}], "program": "subtract(160468, 163607), divide(#0, 163607)", "gold_inds": {"table_1": "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;", "table_7": "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"}, "exe_ans": -0.01919, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2012 is 23771 ;"}, "program_re": "divide(subtract(160468, 163607), 163607)", "model_input": [["text_0", "adobe systems incorporated notes to consolidated financial statements ( continued ) accounting for uncertainty in income taxes during fiscal 2013 and 2012 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."], ["table_1", "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;"], ["table_7", "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"]]}, "answers": ["-1.9%"]}, "rejected_source": {"id": "ADBE/2013/page_84.pdf-1", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2012 to 2013?", "answer": "-15.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "136098", "arg2": "160468", "res": "-24370"}, {"op": "divide1-2", "arg1": "#0", "arg2": "160468", "res": "-15.2%"}], "program": "subtract(136098, 160468), divide(#0, 160468)", "gold_inds": {"table_1": "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;", "table_7": "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"}, "exe_ans": -0.15187, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2012 is 23771 ;"}, "program_re": "divide(subtract(136098, 160468), 160468)", "model_input": [["table_1", "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2013 is 20244 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2012 is 1038 ;"], ["table_7", "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"]]}, "answers": ["-15.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001088", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in total gross amount of unrecognized tax benefits from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-1.9%.", "rejected": "4.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "original_question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.3%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-1.9%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-15.2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "ADBE/2013/page_84.pdf-3", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2011 to 2012?", "answer": "-1.9%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "160468", "arg2": "163607", "res": "-3139"}, {"op": "divide2-2", "arg1": "#0", "arg2": "163607", "res": "-1.9%"}], "program": "subtract(160468, 163607), divide(#0, 163607)", "gold_inds": {"table_1": "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;", "table_7": "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"}, "exe_ans": -0.01919, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2012 is 23771 ;"}, "program_re": "divide(subtract(160468, 163607), 163607)", "model_input": [["text_0", "adobe systems incorporated notes to consolidated financial statements ( continued ) accounting for uncertainty in income taxes during fiscal 2013 and 2012 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."], ["table_1", "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;"], ["table_7", "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"]]}, "answers": ["-1.9%"]}, "rejected_source": {"id": "ADBE/2012/page_102.pdf-4", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2010 to 2011?", "answer": "4.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "163607", "arg2": "156925", "res": "6682"}, {"op": "divide2-2", "arg1": "#0", "arg2": "156925", "res": "4.3%"}], "program": "subtract(163607, 156925), divide(#0, 156925)", "gold_inds": {"table_1": "the beginning balance of 2012 is $ 163607 ; the beginning balance of 2011 is $ 156925 ;", "table_8": "the ending balance of 2012 is $ 160468 ; the ending balance of 2011 is $ 163607 ;"}, "exe_ans": 0.04258, "tfidftopn": {"text_16": "accounting for uncertainty in income taxes during fiscal 2012 and 2011 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."}, "program_re": "divide(subtract(163607, 156925), 156925)", "model_input": [["text_16", "accounting for uncertainty in income taxes during fiscal 2012 and 2011 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."], ["table_1", "the beginning balance of 2012 is $ 163607 ; the beginning balance of 2011 is $ 156925 ;"], ["table_8", "the ending balance of 2012 is $ 160468 ; the ending balance of 2011 is $ 163607 ;"]]}, "answers": ["4.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001089", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in total gross amount of unrecognized tax benefits from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-15.2%.", "rejected": "-1.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "original_question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.3%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-1.9%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-15.2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "ADBE/2013/page_84.pdf-1", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2012 to 2013?", "answer": "-15.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "136098", "arg2": "160468", "res": "-24370"}, {"op": "divide1-2", "arg1": "#0", "arg2": "160468", "res": "-15.2%"}], "program": "subtract(136098, 160468), divide(#0, 160468)", "gold_inds": {"table_1": "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;", "table_7": "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"}, "exe_ans": -0.15187, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2012 is 23771 ;"}, "program_re": "divide(subtract(136098, 160468), 160468)", "model_input": [["table_1", "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2013 is 20244 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2012 is 1038 ;"], ["table_7", "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"]]}, "answers": ["-15.2%"]}, "rejected_source": {"id": "ADBE/2013/page_84.pdf-3", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2011 to 2012?", "answer": "-1.9%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "160468", "arg2": "163607", "res": "-3139"}, {"op": "divide2-2", "arg1": "#0", "arg2": "163607", "res": "-1.9%"}], "program": "subtract(160468, 163607), divide(#0, 163607)", "gold_inds": {"table_1": "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;", "table_7": "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"}, "exe_ans": -0.01919, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2012 is 23771 ;"}, "program_re": "divide(subtract(160468, 163607), 163607)", "model_input": [["text_0", "adobe systems incorporated notes to consolidated financial statements ( continued ) accounting for uncertainty in income taxes during fiscal 2013 and 2012 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."], ["table_1", "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;"], ["table_7", "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"]]}, "answers": ["-1.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001090", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in total gross amount of unrecognized tax benefits from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-15.2%.", "rejected": "4.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "original_question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.3%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-1.9%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-15.2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "ADBE/2013/page_84.pdf-1", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2012 to 2013?", "answer": "-15.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "136098", "arg2": "160468", "res": "-24370"}, {"op": "divide1-2", "arg1": "#0", "arg2": "160468", "res": "-15.2%"}], "program": "subtract(136098, 160468), divide(#0, 160468)", "gold_inds": {"table_1": "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;", "table_7": "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"}, "exe_ans": -0.15187, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2012 is 23771 ;"}, "program_re": "divide(subtract(136098, 160468), 160468)", "model_input": [["table_1", "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2013 is 20244 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2012 is 1038 ;"], ["table_7", "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"]]}, "answers": ["-15.2%"]}, "rejected_source": {"id": "ADBE/2012/page_102.pdf-4", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2010 to 2011?", "answer": "4.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "163607", "arg2": "156925", "res": "6682"}, {"op": "divide2-2", "arg1": "#0", "arg2": "156925", "res": "4.3%"}], "program": "subtract(163607, 156925), divide(#0, 156925)", "gold_inds": {"table_1": "the beginning balance of 2012 is $ 163607 ; the beginning balance of 2011 is $ 156925 ;", "table_8": "the ending balance of 2012 is $ 160468 ; the ending balance of 2011 is $ 163607 ;"}, "exe_ans": 0.04258, "tfidftopn": {"text_16": "accounting for uncertainty in income taxes during fiscal 2012 and 2011 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."}, "program_re": "divide(subtract(163607, 156925), 156925)", "model_input": [["text_16", "accounting for uncertainty in income taxes during fiscal 2012 and 2011 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."], ["table_1", "the beginning balance of 2012 is $ 163607 ; the beginning balance of 2011 is $ 156925 ;"], ["table_8", "the ending balance of 2012 is $ 160468 ; the ending balance of 2011 is $ 163607 ;"]]}, "answers": ["4.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001091", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in total gross amount of unrecognized tax benefits from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "4.3%.", "rejected": "-1.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "original_question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.3%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-1.9%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-15.2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "ADBE/2012/page_102.pdf-4", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2010 to 2011?", "answer": "4.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "163607", "arg2": "156925", "res": "6682"}, {"op": "divide2-2", "arg1": "#0", "arg2": "156925", "res": "4.3%"}], "program": "subtract(163607, 156925), divide(#0, 156925)", "gold_inds": {"table_1": "the beginning balance of 2012 is $ 163607 ; the beginning balance of 2011 is $ 156925 ;", "table_8": "the ending balance of 2012 is $ 160468 ; the ending balance of 2011 is $ 163607 ;"}, "exe_ans": 0.04258, "tfidftopn": {"text_16": "accounting for uncertainty in income taxes during fiscal 2012 and 2011 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."}, "program_re": "divide(subtract(163607, 156925), 156925)", "model_input": [["text_16", "accounting for uncertainty in income taxes during fiscal 2012 and 2011 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."], ["table_1", "the beginning balance of 2012 is $ 163607 ; the beginning balance of 2011 is $ 156925 ;"], ["table_8", "the ending balance of 2012 is $ 160468 ; the ending balance of 2011 is $ 163607 ;"]]}, "answers": ["4.3%"]}, "rejected_source": {"id": "ADBE/2013/page_84.pdf-3", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2011 to 2012?", "answer": "-1.9%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "160468", "arg2": "163607", "res": "-3139"}, {"op": "divide2-2", "arg1": "#0", "arg2": "163607", "res": "-1.9%"}], "program": "subtract(160468, 163607), divide(#0, 163607)", "gold_inds": {"table_1": "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;", "table_7": "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"}, "exe_ans": -0.01919, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2012 is 23771 ;"}, "program_re": "divide(subtract(160468, 163607), 163607)", "model_input": [["text_0", "adobe systems incorporated notes to consolidated financial statements ( continued ) accounting for uncertainty in income taxes during fiscal 2013 and 2012 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."], ["table_1", "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;"], ["table_7", "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"]]}, "answers": ["-1.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001092", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in total gross amount of unrecognized tax benefits from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "4.3%.", "rejected": "-15.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the percentage change in total gross amount of unrecognized tax benefits <TIME>?", "original_question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.3%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-1.9%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}, {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-15.2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "ADBE/2012/page_102.pdf-4", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2010 to 2011?", "answer": "4.3%", "explanation": "", "ann_table_rows": [1, 8], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "163607", "arg2": "156925", "res": "6682"}, {"op": "divide2-2", "arg1": "#0", "arg2": "156925", "res": "4.3%"}], "program": "subtract(163607, 156925), divide(#0, 156925)", "gold_inds": {"table_1": "the beginning balance of 2012 is $ 163607 ; the beginning balance of 2011 is $ 156925 ;", "table_8": "the ending balance of 2012 is $ 160468 ; the ending balance of 2011 is $ 163607 ;"}, "exe_ans": 0.04258, "tfidftopn": {"text_16": "accounting for uncertainty in income taxes during fiscal 2012 and 2011 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."}, "program_re": "divide(subtract(163607, 156925), 156925)", "model_input": [["text_16", "accounting for uncertainty in income taxes during fiscal 2012 and 2011 , our aggregate changes in our total gross amount of unrecognized tax benefits are summarized as follows ( in thousands ) : ."], ["table_1", "the beginning balance of 2012 is $ 163607 ; the beginning balance of 2011 is $ 156925 ;"], ["table_8", "the ending balance of 2012 is $ 160468 ; the ending balance of 2011 is $ 163607 ;"]]}, "answers": ["4.3%"]}, "rejected_source": {"id": "ADBE/2013/page_84.pdf-1", "qa": {"question": "what is the percentage change in total gross amount of unrecognized tax benefits from 2012 to 2013?", "answer": "-15.2%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "136098", "arg2": "160468", "res": "-24370"}, {"op": "divide1-2", "arg1": "#0", "arg2": "160468", "res": "-15.2%"}], "program": "subtract(136098, 160468), divide(#0, 160468)", "gold_inds": {"table_1": "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;", "table_7": "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"}, "exe_ans": -0.15187, "tfidftopn": {"table_3": "The gross increases in unrecognized tax benefits 2013 current year tax positions of 2013 is 16777 ; The gross increases in unrecognized tax benefits 2013 current year tax positions of 2012 is 23771 ;"}, "program_re": "divide(subtract(136098, 160468), 160468)", "model_input": [["table_1", "the beginning balance of 2013 is $ 160468 ; the beginning balance of 2012 is $ 163607 ;"], ["table_2", "the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2013 is 20244 ; the gross increases in unrecognized tax benefits 2013 prior year tax positions of 2012 is 1038 ;"], ["table_7", "the ending balance of 2013 is $ 136098 ; the ending balance of 2012 is $ 160468 ;"]]}, "answers": ["-15.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001093", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average entergy new orleans 2019s receivables from the money pool from 2014 to 2017\nReference time interval: 2014-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "10793.5.", "rejected": "39284.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the average entergy new orleans 2019s receivables from the money pool <TIME>", "doc_prefix": "ETR", "base_question": "what was the average entergy new orleans 2019s receivables from the money pool <TIME>", "original_question": "what was the average entergy new orleans 2019s receivables from the money pool from 2014 to 2017", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2014 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"39284": [{"start": "2008-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2008 to 2011"}], "10793.5": [{"start": "2014-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2014 to 2017"}]}, "chosen_source": {"id": "ETR/2017/page_401.pdf-3", "qa": {"question": "what was the average entergy new orleans 2019s receivables from the money pool from 2014 to 2017", "answer": "10793.5", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "12723", "arg2": "14215", "res": "26938"}], "program": "add(12723, 14215)", "gold_inds": {"table_2": "2017 the $ 12723 of 2016 is $ 14215 ; the $ 12723 of 2015 is $ 15794 ; the $ 12723 of 2014 is $ 442 ;"}, "exe_ans": 26938.0, "tfidftopn": {"text_4": "entergy new orleans 2019s receivables from the money pool were as follows as of december 31 for each of the following years. .", "text_5": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "add(12723, 14215)", "model_input": [["text_4", "entergy new orleans 2019s receivables from the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2017 the ( in thousands ) of 2016 is ( in thousands ) ; the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ;"], ["table_2", "2017 the $ 12723 of 2016 is $ 14215 ; the $ 12723 of 2015 is $ 15794 ; the $ 12723 of 2014 is $ 442 ;"]]}, "answers": ["10793.5"]}, "rejected_source": {"id": "ETR/2011/page_364.pdf-3", "qa": {"question": "what was the average entergy new orleans 2019s receivables from the money pool from 2008 to 2011", "answer": "39284", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "9074", "arg2": "21820", "res": "30894"}, {"op": "add1-2", "arg1": "66149", "arg2": "#0", "res": "97043"}, {"op": "add1-3", "arg1": "60093", "arg2": "#1", "res": "157136"}, {"op": "add1-4", "arg1": "#2", "arg2": "const_4", "res": "78568.0"}, {"op": "divide0-0", "arg1": "#3", "arg2": "const_2", "res": "39284"}], "program": "add(9074, 21820), add(66149, #0), add(60093, #1), add(#2, const_4), divide(#3, const_2)", "gold_inds": {"table_2": "2011 the $ 9074 of 2010 is $ 21820 ; the $ 9074 of 2009 is $ 66149 ; the $ 9074 of 2008 is $ 60093 ;"}, "exe_ans": 78570.0, "tfidftopn": {"text_10": "entergy new orleans 2019s receivables from the money pool were as follows as of december 31 for each of the following years: .", "text_11": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "divide(add(add(60093, add(66149, add(9074, 21820))), const_4), const_2)", "model_input": [["text_10", "entergy new orleans 2019s receivables from the money pool were as follows as of december 31 for each of the following years: ."], ["table_1", "2011 the ( in thousands ) of 2010 is ( in thousands ) ; the ( in thousands ) of 2009 is ( in thousands ) ; the ( in thousands ) of 2008 is ( in thousands ) ;"], ["table_2", "2011 the $ 9074 of 2010 is $ 21820 ; the $ 9074 of 2009 is $ 66149 ; the $ 9074 of 2008 is $ 60093 ;"]]}, "answers": ["39284"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001094", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average entergy new orleans 2019s receivables from the money pool from 2008 to 2011\nReference time interval: 2008-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "39284.", "rejected": "10793.5.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what was the average entergy new orleans 2019s receivables from the money pool <TIME>", "doc_prefix": "ETR", "base_question": "what was the average entergy new orleans 2019s receivables from the money pool <TIME>", "original_question": "what was the average entergy new orleans 2019s receivables from the money pool from 2008 to 2011", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2008 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"39284": [{"start": "2008-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2008 to 2011"}], "10793.5": [{"start": "2014-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2014 to 2017"}]}, "chosen_source": {"id": "ETR/2011/page_364.pdf-3", "qa": {"question": "what was the average entergy new orleans 2019s receivables from the money pool from 2008 to 2011", "answer": "39284", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "9074", "arg2": "21820", "res": "30894"}, {"op": "add1-2", "arg1": "66149", "arg2": "#0", "res": "97043"}, {"op": "add1-3", "arg1": "60093", "arg2": "#1", "res": "157136"}, {"op": "add1-4", "arg1": "#2", "arg2": "const_4", "res": "78568.0"}, {"op": "divide0-0", "arg1": "#3", "arg2": "const_2", "res": "39284"}], "program": "add(9074, 21820), add(66149, #0), add(60093, #1), add(#2, const_4), divide(#3, const_2)", "gold_inds": {"table_2": "2011 the $ 9074 of 2010 is $ 21820 ; the $ 9074 of 2009 is $ 66149 ; the $ 9074 of 2008 is $ 60093 ;"}, "exe_ans": 78570.0, "tfidftopn": {"text_10": "entergy new orleans 2019s receivables from the money pool were as follows as of december 31 for each of the following years: .", "text_11": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "divide(add(add(60093, add(66149, add(9074, 21820))), const_4), const_2)", "model_input": [["text_10", "entergy new orleans 2019s receivables from the money pool were as follows as of december 31 for each of the following years: ."], ["table_1", "2011 the ( in thousands ) of 2010 is ( in thousands ) ; the ( in thousands ) of 2009 is ( in thousands ) ; the ( in thousands ) of 2008 is ( in thousands ) ;"], ["table_2", "2011 the $ 9074 of 2010 is $ 21820 ; the $ 9074 of 2009 is $ 66149 ; the $ 9074 of 2008 is $ 60093 ;"]]}, "answers": ["39284"]}, "rejected_source": {"id": "ETR/2017/page_401.pdf-3", "qa": {"question": "what was the average entergy new orleans 2019s receivables from the money pool from 2014 to 2017", "answer": "10793.5", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "12723", "arg2": "14215", "res": "26938"}], "program": "add(12723, 14215)", "gold_inds": {"table_2": "2017 the $ 12723 of 2016 is $ 14215 ; the $ 12723 of 2015 is $ 15794 ; the $ 12723 of 2014 is $ 442 ;"}, "exe_ans": 26938.0, "tfidftopn": {"text_4": "entergy new orleans 2019s receivables from the money pool were as follows as of december 31 for each of the following years. .", "text_5": "see note 4 to the financial statements for a description of the money pool ."}, "program_re": "add(12723, 14215)", "model_input": [["text_4", "entergy new orleans 2019s receivables from the money pool were as follows as of december 31 for each of the following years. ."], ["table_1", "2017 the ( in thousands ) of 2016 is ( in thousands ) ; the ( in thousands ) of 2015 is ( in thousands ) ; the ( in thousands ) of 2014 is ( in thousands ) ;"], ["table_2", "2017 the $ 12723 of 2016 is $ 14215 ; the $ 12723 of 2015 is $ 15794 ; the $ 12723 of 2014 is $ 442 ;"]]}, "answers": ["10793.5"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001095", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in advertising costs from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "128.7%.", "rejected": "33.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HOLX || what is the growth rate in advertising costs <TIME>?", "doc_prefix": "HOLX", "base_question": "what is the growth rate in advertising costs <TIME>?", "original_question": "what is the growth rate in advertising costs from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"33.6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "128.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "HOLX/2008/page_128.pdf-1", "qa": {"question": "what is the growth rate in advertising costs from 2007 to 2008?", "answer": "128.7%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus1-1", "arg1": "15281", "arg2": "6683", "res": "8598"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6683", "res": "128.7%"}], "program": "subtract(15281, 6683), divide(#0, 6683)", "gold_inds": {"text_20": "advertising costs , which include trade shows and conventions , were approximately $ 15281 , $ 6683 and $ 5003 for fiscal 2008 , 2007 and 2006 , respectively , and were included in selling and marketing expense in the consolidated statements of operations. ."}, "exe_ans": 1.28655, "tfidftopn": {"text_18": "advertising costs advertising costs are charged to operations as incurred .", "text_3": "during the twelve months ended september 27 , 2008 , the company did not incur any additional restructuring costs related to retention costs for these employees ."}, "program_re": "divide(subtract(15281, 6683), 6683)", "model_input": [["table_7", "other the ending balance of twelve months ended september 27 2008 other is $ 882 ; the ending balance of twelve months ended september 27 2008 is $ 1309 ;"], ["text_18", "advertising costs advertising costs are charged to operations as incurred ."], ["text_20", "advertising costs , which include trade shows and conventions , were approximately $ 15281 , $ 6683 and $ 5003 for fiscal 2008 , 2007 and 2006 , respectively , and were included in selling and marketing expense in the consolidated statements of operations. ."]]}, "answers": ["128.7%"]}, "rejected_source": {"id": "HOLX/2008/page_128.pdf-2", "qa": {"question": "what is the growth rate in advertising costs from 2006 to 2007?", "answer": "33.6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus2-1", "arg1": "6683", "arg2": "5003", "res": "1680"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5003", "res": "33.6%"}], "program": "subtract(6683, 5003), divide(#0, 5003)", "gold_inds": {"text_20": "advertising costs , which include trade shows and conventions , were approximately $ 15281 , $ 6683 and $ 5003 for fiscal 2008 , 2007 and 2006 , respectively , and were included in selling and marketing expense in the consolidated statements of operations. ."}, "exe_ans": 0.3358, "tfidftopn": {"text_18": "advertising costs advertising costs are charged to operations as incurred .", "text_19": "the company does not have any direct-response advertising ."}, "program_re": "divide(subtract(6683, 5003), 5003)", "model_input": [["table_7", "other the ending balance of twelve months ended september 27 2008 other is $ 882 ; the ending balance of twelve months ended september 27 2008 is $ 1309 ;"], ["text_18", "advertising costs advertising costs are charged to operations as incurred ."], ["text_20", "advertising costs , which include trade shows and conventions , were approximately $ 15281 , $ 6683 and $ 5003 for fiscal 2008 , 2007 and 2006 , respectively , and were included in selling and marketing expense in the consolidated statements of operations. ."]]}, "answers": ["33.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001096", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in advertising costs from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "33.6%.", "rejected": "128.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HOLX || what is the growth rate in advertising costs <TIME>?", "doc_prefix": "HOLX", "base_question": "what is the growth rate in advertising costs <TIME>?", "original_question": "what is the growth rate in advertising costs from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"33.6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "128.7%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "HOLX/2008/page_128.pdf-2", "qa": {"question": "what is the growth rate in advertising costs from 2006 to 2007?", "answer": "33.6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus2-1", "arg1": "6683", "arg2": "5003", "res": "1680"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5003", "res": "33.6%"}], "program": "subtract(6683, 5003), divide(#0, 5003)", "gold_inds": {"text_20": "advertising costs , which include trade shows and conventions , were approximately $ 15281 , $ 6683 and $ 5003 for fiscal 2008 , 2007 and 2006 , respectively , and were included in selling and marketing expense in the consolidated statements of operations. ."}, "exe_ans": 0.3358, "tfidftopn": {"text_18": "advertising costs advertising costs are charged to operations as incurred .", "text_19": "the company does not have any direct-response advertising ."}, "program_re": "divide(subtract(6683, 5003), 5003)", "model_input": [["table_7", "other the ending balance of twelve months ended september 27 2008 other is $ 882 ; the ending balance of twelve months ended september 27 2008 is $ 1309 ;"], ["text_18", "advertising costs advertising costs are charged to operations as incurred ."], ["text_20", "advertising costs , which include trade shows and conventions , were approximately $ 15281 , $ 6683 and $ 5003 for fiscal 2008 , 2007 and 2006 , respectively , and were included in selling and marketing expense in the consolidated statements of operations. ."]]}, "answers": ["33.6%"]}, "rejected_source": {"id": "HOLX/2008/page_128.pdf-1", "qa": {"question": "what is the growth rate in advertising costs from 2007 to 2008?", "answer": "128.7%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus1-1", "arg1": "15281", "arg2": "6683", "res": "8598"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6683", "res": "128.7%"}], "program": "subtract(15281, 6683), divide(#0, 6683)", "gold_inds": {"text_20": "advertising costs , which include trade shows and conventions , were approximately $ 15281 , $ 6683 and $ 5003 for fiscal 2008 , 2007 and 2006 , respectively , and were included in selling and marketing expense in the consolidated statements of operations. ."}, "exe_ans": 1.28655, "tfidftopn": {"text_18": "advertising costs advertising costs are charged to operations as incurred .", "text_3": "during the twelve months ended september 27 , 2008 , the company did not incur any additional restructuring costs related to retention costs for these employees ."}, "program_re": "divide(subtract(15281, 6683), 6683)", "model_input": [["table_7", "other the ending balance of twelve months ended september 27 2008 other is $ 882 ; the ending balance of twelve months ended september 27 2008 is $ 1309 ;"], ["text_18", "advertising costs advertising costs are charged to operations as incurred ."], ["text_20", "advertising costs , which include trade shows and conventions , were approximately $ 15281 , $ 6683 and $ 5003 for fiscal 2008 , 2007 and 2006 , respectively , and were included in selling and marketing expense in the consolidated statements of operations. ."]]}, "answers": ["128.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001097", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by how much did total regulatory liabilities increase from 2017 to 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "14.6%.", "rejected": "2.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AWK || by how much did total regulatory liabilities increase <TIME>?", "doc_prefix": "AWK", "base_question": "by how much did total regulatory liabilities increase <TIME>?", "original_question": "by how much did total regulatory liabilities increase from 2017 to 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.6%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "14.6%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "AWK/2018/page_142.pdf-1", "qa": {"question": "by how much did total regulatory liabilities increase from 2017 to 2018?", "answer": "14.6%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1907", "arg2": "1664", "res": "243"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1664", "res": "14.6%"}], "program": "subtract(1907, 1664), divide(#0, 1664)", "gold_inds": {"table_7": "the total regulatory liabilities of 2018 is $ 1907 ; the total regulatory liabilities of 2017 is $ 1664 ;"}, "exe_ans": 0.14603, "tfidftopn": {"text_14": "regulatory liabilities regulatory liabilities generally represent amounts that are probable of being credited or refunded to customers through the rate-making process .", "text_16": "the following table provides the composition of regulatory liabilities as of december 31: ."}, "program_re": "divide(subtract(1907, 1664), 1664)", "model_input": [["text_3", "surcharges collected were $ 8 million and $ 7 million for the years ended december 31 , 2018 and 2017 , respectively ."], ["text_8", "as authorized for recovery by the california and new jersey pucs , these costs are being amortized to depreciation and amortization on the consolidated statements of operations through november 2048 ."], ["table_7", "the total regulatory liabilities of 2018 is $ 1907 ; the total regulatory liabilities of 2017 is $ 1664 ;"]]}, "answers": ["14.6%"]}, "rejected_source": {"id": "AWK/2015/page_112.pdf-4", "qa": {"question": "by how much did total regulatory liabilities increase from 2014 to 2015?", "answer": "2.6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "402", "arg2": "392", "res": "10"}, {"op": "divide1-2", "arg1": "#0", "arg2": "392", "res": "2.6%"}], "program": "subtract(402, 392), divide(#0, 392)", "gold_inds": {"table_4": "the total regulatory liabilities of 2015 is $ 402 ; the total regulatory liabilities of 2014 is $ 392 ;"}, "exe_ans": 0.02551, "tfidftopn": {"text_13": "regulatory liabilities the regulatory liabilities generally represent probable future reductions in revenues associated with amounts that are to be credited or refunded to customers through the rate-making process .", "table_3": "The other of 2015 is 32 ; The other of 2014 is 37 ;"}, "program_re": "divide(subtract(402, 392), 392)", "model_input": [["text_2", "in addition to the authorized costs , the company expects to incur additional costs totaling $ 34 , which will be recovered from contributions made by the california state coastal conservancy ."], ["text_9", "as authorized for recovery by the california and new jersey pucs , these costs are being amortized to depreciation and amortization in the consolidated statements of operations through november 2048 ."], ["table_4", "the total regulatory liabilities of 2015 is $ 402 ; the total regulatory liabilities of 2014 is $ 392 ;"]]}, "answers": ["2.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001098", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by how much did total regulatory liabilities increase from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "2.6%.", "rejected": "14.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AWK || by how much did total regulatory liabilities increase <TIME>?", "doc_prefix": "AWK", "base_question": "by how much did total regulatory liabilities increase <TIME>?", "original_question": "by how much did total regulatory liabilities increase from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.6%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "14.6%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "AWK/2015/page_112.pdf-4", "qa": {"question": "by how much did total regulatory liabilities increase from 2014 to 2015?", "answer": "2.6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "402", "arg2": "392", "res": "10"}, {"op": "divide1-2", "arg1": "#0", "arg2": "392", "res": "2.6%"}], "program": "subtract(402, 392), divide(#0, 392)", "gold_inds": {"table_4": "the total regulatory liabilities of 2015 is $ 402 ; the total regulatory liabilities of 2014 is $ 392 ;"}, "exe_ans": 0.02551, "tfidftopn": {"text_13": "regulatory liabilities the regulatory liabilities generally represent probable future reductions in revenues associated with amounts that are to be credited or refunded to customers through the rate-making process .", "table_3": "The other of 2015 is 32 ; The other of 2014 is 37 ;"}, "program_re": "divide(subtract(402, 392), 392)", "model_input": [["text_2", "in addition to the authorized costs , the company expects to incur additional costs totaling $ 34 , which will be recovered from contributions made by the california state coastal conservancy ."], ["text_9", "as authorized for recovery by the california and new jersey pucs , these costs are being amortized to depreciation and amortization in the consolidated statements of operations through november 2048 ."], ["table_4", "the total regulatory liabilities of 2015 is $ 402 ; the total regulatory liabilities of 2014 is $ 392 ;"]]}, "answers": ["2.6%"]}, "rejected_source": {"id": "AWK/2018/page_142.pdf-1", "qa": {"question": "by how much did total regulatory liabilities increase from 2017 to 2018?", "answer": "14.6%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1907", "arg2": "1664", "res": "243"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1664", "res": "14.6%"}], "program": "subtract(1907, 1664), divide(#0, 1664)", "gold_inds": {"table_7": "the total regulatory liabilities of 2018 is $ 1907 ; the total regulatory liabilities of 2017 is $ 1664 ;"}, "exe_ans": 0.14603, "tfidftopn": {"text_14": "regulatory liabilities regulatory liabilities generally represent amounts that are probable of being credited or refunded to customers through the rate-making process .", "text_16": "the following table provides the composition of regulatory liabilities as of december 31: ."}, "program_re": "divide(subtract(1907, 1664), 1664)", "model_input": [["text_3", "surcharges collected were $ 8 million and $ 7 million for the years ended december 31 , 2018 and 2017 , respectively ."], ["text_8", "as authorized for recovery by the california and new jersey pucs , these costs are being amortized to depreciation and amortization on the consolidated statements of operations through november 2048 ."], ["table_7", "the total regulatory liabilities of 2018 is $ 1907 ; the total regulatory liabilities of 2017 is $ 1664 ;"]]}, "answers": ["14.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001099", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the rate of return of an investment in teleflex incorporated from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "16.7%.", "rejected": "2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "TFX || what is the rate of return of an investment in teleflex incorporated <TIME>?", "doc_prefix": "TFX", "base_question": "what is the rate of return of an investment in teleflex incorporated <TIME>?", "original_question": "what is the rate of return of an investment in teleflex incorporated from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "16.7%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "TFX/2014/page_44.pdf-2", "qa": {"question": "what is the rate of return of an investment in teleflex incorporated from 2010 to 2011?", "answer": "16.7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "119", "arg2": "102", "res": "17"}, {"op": "divide2-2", "arg1": "#0", "arg2": "102", "res": "16.7%"}], "program": "subtract(119, 102), divide(#0, 102)", "gold_inds": {"table_1": "company / index the teleflex incorporated of 2009 is 100 ; the teleflex incorporated of 2010 is 102 ; the teleflex incorporated of 2011 is 119 ; the teleflex incorporated of 2012 is 142 ; the teleflex incorporated of 2013 is 190 ; the teleflex incorporated of 2014 is 235 ;"}, "exe_ans": 0.16667, "tfidftopn": {"table_2": "company / index The s&p 500 index of 2009 is 100 ; The s&p 500 index of 2010 is 115 ; The s&p 500 index of 2011 is 117 ; The s&p 500 index of 2012 is 136 ; The s&p 500 index of 2013 is 180 ; The s&p 500 index of 2014 is 205 ;", "text_1": "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december 31 , 2009 and that all dividends were reinvested ."}, "program_re": "divide(subtract(119, 102), 102)", "model_input": [["text_0", "stock performance graph the following graph provides a comparison of five year cumulative total stockholder returns of teleflex common stock , the standard & poor 2019s ( s&p ) 500 stock index and the s&p 500 healthcare equipment & supply index ."], ["text_1", "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december 31 , 2009 and that all dividends were reinvested ."], ["table_1", "company / index the teleflex incorporated of 2009 is 100 ; the teleflex incorporated of 2010 is 102 ; the teleflex incorporated of 2011 is 119 ; the teleflex incorporated of 2012 is 142 ; the teleflex incorporated of 2013 is 190 ; the teleflex incorporated of 2014 is 235 ;"]]}, "answers": ["16.7%"]}, "rejected_source": {"id": "TFX/2014/page_44.pdf-1", "qa": {"question": "what is the rate of return of an investment in teleflex incorporated from 2009 to 2010?", "answer": "2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "102", "arg2": "100", "res": "2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "2%"}], "program": "subtract(102, 100), divide(#0, 100)", "gold_inds": {"table_1": "company / index the teleflex incorporated of 2009 is 100 ; the teleflex incorporated of 2010 is 102 ; the teleflex incorporated of 2011 is 119 ; the teleflex incorporated of 2012 is 142 ; the teleflex incorporated of 2013 is 190 ; the teleflex incorporated of 2014 is 235 ;"}, "exe_ans": 0.02, "tfidftopn": {"text_1": "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december 31 , 2009 and that all dividends were reinvested .", "table_2": "company / index The s&p 500 index of 2009 is 100 ; The s&p 500 index of 2010 is 115 ; The s&p 500 index of 2011 is 117 ; The s&p 500 index of 2012 is 136 ; The s&p 500 index of 2013 is 180 ; The s&p 500 index of 2014 is 205 ;"}, "program_re": "divide(subtract(102, 100), 100)", "model_input": [["text_0", "stock performance graph the following graph provides a comparison of five year cumulative total stockholder returns of teleflex common stock , the standard & poor 2019s ( s&p ) 500 stock index and the s&p 500 healthcare equipment & supply index ."], ["text_1", "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december 31 , 2009 and that all dividends were reinvested ."], ["table_1", "company / index the teleflex incorporated of 2009 is 100 ; the teleflex incorporated of 2010 is 102 ; the teleflex incorporated of 2011 is 119 ; the teleflex incorporated of 2012 is 142 ; the teleflex incorporated of 2013 is 190 ; the teleflex incorporated of 2014 is 235 ;"]]}, "answers": ["2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001100", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the rate of return of an investment in teleflex incorporated from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "2%.", "rejected": "16.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "TFX || what is the rate of return of an investment in teleflex incorporated <TIME>?", "doc_prefix": "TFX", "base_question": "what is the rate of return of an investment in teleflex incorporated <TIME>?", "original_question": "what is the rate of return of an investment in teleflex incorporated from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "16.7%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "TFX/2014/page_44.pdf-1", "qa": {"question": "what is the rate of return of an investment in teleflex incorporated from 2009 to 2010?", "answer": "2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "102", "arg2": "100", "res": "2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "2%"}], "program": "subtract(102, 100), divide(#0, 100)", "gold_inds": {"table_1": "company / index the teleflex incorporated of 2009 is 100 ; the teleflex incorporated of 2010 is 102 ; the teleflex incorporated of 2011 is 119 ; the teleflex incorporated of 2012 is 142 ; the teleflex incorporated of 2013 is 190 ; the teleflex incorporated of 2014 is 235 ;"}, "exe_ans": 0.02, "tfidftopn": {"text_1": "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december 31 , 2009 and that all dividends were reinvested .", "table_2": "company / index The s&p 500 index of 2009 is 100 ; The s&p 500 index of 2010 is 115 ; The s&p 500 index of 2011 is 117 ; The s&p 500 index of 2012 is 136 ; The s&p 500 index of 2013 is 180 ; The s&p 500 index of 2014 is 205 ;"}, "program_re": "divide(subtract(102, 100), 100)", "model_input": [["text_0", "stock performance graph the following graph provides a comparison of five year cumulative total stockholder returns of teleflex common stock , the standard & poor 2019s ( s&p ) 500 stock index and the s&p 500 healthcare equipment & supply index ."], ["text_1", "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december 31 , 2009 and that all dividends were reinvested ."], ["table_1", "company / index the teleflex incorporated of 2009 is 100 ; the teleflex incorporated of 2010 is 102 ; the teleflex incorporated of 2011 is 119 ; the teleflex incorporated of 2012 is 142 ; the teleflex incorporated of 2013 is 190 ; the teleflex incorporated of 2014 is 235 ;"]]}, "answers": ["2%"]}, "rejected_source": {"id": "TFX/2014/page_44.pdf-2", "qa": {"question": "what is the rate of return of an investment in teleflex incorporated from 2010 to 2011?", "answer": "16.7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "119", "arg2": "102", "res": "17"}, {"op": "divide2-2", "arg1": "#0", "arg2": "102", "res": "16.7%"}], "program": "subtract(119, 102), divide(#0, 102)", "gold_inds": {"table_1": "company / index the teleflex incorporated of 2009 is 100 ; the teleflex incorporated of 2010 is 102 ; the teleflex incorporated of 2011 is 119 ; the teleflex incorporated of 2012 is 142 ; the teleflex incorporated of 2013 is 190 ; the teleflex incorporated of 2014 is 235 ;"}, "exe_ans": 0.16667, "tfidftopn": {"table_2": "company / index The s&p 500 index of 2009 is 100 ; The s&p 500 index of 2010 is 115 ; The s&p 500 index of 2011 is 117 ; The s&p 500 index of 2012 is 136 ; The s&p 500 index of 2013 is 180 ; The s&p 500 index of 2014 is 205 ;", "text_1": "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december 31 , 2009 and that all dividends were reinvested ."}, "program_re": "divide(subtract(119, 102), 102)", "model_input": [["text_0", "stock performance graph the following graph provides a comparison of five year cumulative total stockholder returns of teleflex common stock , the standard & poor 2019s ( s&p ) 500 stock index and the s&p 500 healthcare equipment & supply index ."], ["text_1", "the annual changes for the five-year period shown on the graph are based on the assumption that $ 100 had been invested in teleflex common stock and each index on december 31 , 2009 and that all dividends were reinvested ."], ["table_1", "company / index the teleflex incorporated of 2009 is 100 ; the teleflex incorporated of 2010 is 102 ; the teleflex incorporated of 2011 is 119 ; the teleflex incorporated of 2012 is 142 ; the teleflex incorporated of 2013 is 190 ; the teleflex incorporated of 2014 is 235 ;"]]}, "answers": ["16.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001101", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in unrealized tax benefits from 2008 to 2011?\nReference time interval: 2008-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-4085.", "rejected": "-8782.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADI || what is the net change in unrealized tax benefits <TIME>?", "doc_prefix": "ADI", "base_question": "what is the net change in unrealized tax benefits <TIME>?", "original_question": "what is the net change in unrealized tax benefits from 2008 to 2011?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2008 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-4085": [{"start": "2008-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2008 to 2011"}], "-8782": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "ADI/2011/page_92.pdf-1", "qa": {"question": "what is the net change in unrealized tax benefits from 2008 to 2011?", "answer": "-4085", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "9665", "arg2": "13750", "res": "-4085"}], "program": "subtract(9665, 13750)", "gold_inds": {"table_8": "balance november 1 2008 the balance october 29 2011 of $ 13750 is $ 9665 ;"}, "exe_ans": -4085.0, "tfidftopn": {"text_0": "the following table summarizes the changes in the total amounts of unrealized tax benefits for fiscal 2009 through fiscal 2011. .", "table_1": "balance november 1 2008 The additions for tax positions of 2009 of $ 13750 is 4411 ;"}, "program_re": "subtract(9665, 13750)", "model_input": [["table_3", "balance november 1 2008 the additions for tax positions of 2010 of $ 13750 is 286 ;"], ["table_4", "balance november 1 2008 the balance october 30 2010 of $ 13750 is $ 18447 ;"], ["table_8", "balance november 1 2008 the balance october 29 2011 of $ 13750 is $ 9665 ;"]]}, "answers": ["-4085"]}, "rejected_source": {"id": "ADI/2011/page_92.pdf-2", "qa": {"question": "what is the net change in unrealized tax benefits during 2010?", "answer": "-8782", "explanation": "", "ann_table_rows": [5, 6, 7], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "9265", "arg2": "-17677", "res": "-8412"}, {"op": "add2-2", "arg1": "#0", "arg2": "-370", "res": "-8782"}], "program": "add(9265, -17677), add(#0, -370)", "gold_inds": {"table_5": "balance november 1 2008 the additions for tax positions related to prior years of $ 13750 is 9265 ;", "table_6": "balance november 1 2008 the reductions for tax positions related to prior years of $ 13750 is -17677 ( 17677 ) ;", "table_7": "balance november 1 2008 the settlements with taxing authorities of $ 13750 is -370 ( 370 ) ;"}, "exe_ans": -8782.0, "tfidftopn": {}, "program_re": "add(add(9265, -17677), -370)", "model_input": [["table_5", "balance november 1 2008 the additions for tax positions related to prior years of $ 13750 is 9265 ;"], ["table_6", "balance november 1 2008 the reductions for tax positions related to prior years of $ 13750 is -17677 ( 17677 ) ;"], ["table_7", "balance november 1 2008 the settlements with taxing authorities of $ 13750 is -370 ( 370 ) ;"]]}, "answers": ["-8782"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001102", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in unrealized tax benefits during 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-8782.", "rejected": "-4085.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADI || what is the net change in unrealized tax benefits <TIME>?", "doc_prefix": "ADI", "base_question": "what is the net change in unrealized tax benefits <TIME>?", "original_question": "what is the net change in unrealized tax benefits during 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-4085": [{"start": "2008-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2008 to 2011"}], "-8782": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "ADI/2011/page_92.pdf-2", "qa": {"question": "what is the net change in unrealized tax benefits during 2010?", "answer": "-8782", "explanation": "", "ann_table_rows": [5, 6, 7], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "9265", "arg2": "-17677", "res": "-8412"}, {"op": "add2-2", "arg1": "#0", "arg2": "-370", "res": "-8782"}], "program": "add(9265, -17677), add(#0, -370)", "gold_inds": {"table_5": "balance november 1 2008 the additions for tax positions related to prior years of $ 13750 is 9265 ;", "table_6": "balance november 1 2008 the reductions for tax positions related to prior years of $ 13750 is -17677 ( 17677 ) ;", "table_7": "balance november 1 2008 the settlements with taxing authorities of $ 13750 is -370 ( 370 ) ;"}, "exe_ans": -8782.0, "tfidftopn": {}, "program_re": "add(add(9265, -17677), -370)", "model_input": [["table_5", "balance november 1 2008 the additions for tax positions related to prior years of $ 13750 is 9265 ;"], ["table_6", "balance november 1 2008 the reductions for tax positions related to prior years of $ 13750 is -17677 ( 17677 ) ;"], ["table_7", "balance november 1 2008 the settlements with taxing authorities of $ 13750 is -370 ( 370 ) ;"]]}, "answers": ["-8782"]}, "rejected_source": {"id": "ADI/2011/page_92.pdf-1", "qa": {"question": "what is the net change in unrealized tax benefits from 2008 to 2011?", "answer": "-4085", "explanation": "", "ann_table_rows": [8], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "9665", "arg2": "13750", "res": "-4085"}], "program": "subtract(9665, 13750)", "gold_inds": {"table_8": "balance november 1 2008 the balance october 29 2011 of $ 13750 is $ 9665 ;"}, "exe_ans": -4085.0, "tfidftopn": {"text_0": "the following table summarizes the changes in the total amounts of unrealized tax benefits for fiscal 2009 through fiscal 2011. .", "table_1": "balance november 1 2008 The additions for tax positions of 2009 of $ 13750 is 4411 ;"}, "program_re": "subtract(9665, 13750)", "model_input": [["table_3", "balance november 1 2008 the additions for tax positions of 2010 of $ 13750 is 286 ;"], ["table_4", "balance november 1 2008 the balance october 30 2010 of $ 13750 is $ 18447 ;"], ["table_8", "balance november 1 2008 the balance october 29 2011 of $ 13750 is $ 9665 ;"]]}, "answers": ["-4085"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001103", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the weighted average fair value per share of espp share purchase options from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-1.6%.", "rejected": "10.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in the weighted average fair value per share of espp share purchase options <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in the weighted average fair value per share of espp share purchase options <TIME>?", "original_question": "what is the growth rate in the weighted average fair value per share of espp share purchase options from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1.6%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "10.5%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "AMT/2014/page_157.pdf-2", "qa": {"question": "what is the growth rate in the weighted average fair value per share of espp share purchase options from 2012 to 2013?", "answer": "-1.6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "minus2-1", "arg1": "13.42", "arg2": "13.64", "res": "-0.22"}, {"op": "divide2-2", "arg1": "#0", "arg2": "13.64", "res": "-1.6%"}], "program": "subtract(13.42, 13.64), divide(#0, 13.64)", "gold_inds": {"text_1": "the weighted average fair value per share of espp share purchase options during the year ended december 31 , 2014 , 2013 and 2012 was $ 14.83 , $ 13.42 and $ 13.64 , respectively ."}, "exe_ans": -0.01613, "tfidftopn": {"table_2": "The weighted average risk-free interest rate of 2014 is 0.09% ( 0.09 % ) ; The weighted average risk-free interest rate of 2013 is 0.10% ( 0.10 % ) ; The weighted average risk-free interest rate of 2012 is 0.08% ( 0.08 % ) ;", "table_5": "The weighted average expected volatility of underlying stock price of 2014 is 14.14% ( 14.14 % ) ; The weighted average expected volatility of underlying stock price of 2013 is 12.88% ( 12.88 % ) ; The weighted average expected volatility of underlying stock price of 2012 is 33.54% ( 33.54 % ) ;"}, "program_re": "divide(subtract(13.42, 13.64), 13.64)", "model_input": [["text_1", "the weighted average fair value per share of espp share purchase options during the year ended december 31 , 2014 , 2013 and 2012 was $ 14.83 , $ 13.42 and $ 13.64 , respectively ."], ["table_5", "the weighted average expected volatility of underlying stock price of 2014 is 14.14% ( 14.14 % ) ; the weighted average expected volatility of underlying stock price of 2013 is 12.88% ( 12.88 % ) ; the weighted average expected volatility of underlying stock price of 2012 is 33.54% ( 33.54 % ) ;"], ["text_10", "dividends on shares of mandatory convertible preferred stock are payable on a cumulative basis when , as and if declared by the company 2019s board of directors ( or an authorized committee thereof ) at an annual rate of 5.25% ( 5.25 % ) on the liquidation preference of $ 100.00 per share , on february 15 , may 15 , august 15 and november 15 of each year , commencing on august 15 , 2014 to , and including , may 15 , 2017 ."]]}, "answers": ["-1.6%"]}, "rejected_source": {"id": "AMT/2014/page_157.pdf-4", "qa": {"question": "what is the growth rate in the weighted average fair value per share of espp share purchase options from 2013 to 2014?", "answer": "10.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "14.83", "arg2": "13.42", "res": "1.41"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13.42", "res": "10.5%"}], "program": "subtract(14.83, 13.42), divide(#0, 13.42)", "gold_inds": {"text_1": "the weighted average fair value per share of espp share purchase options during the year ended december 31 , 2014 , 2013 and 2012 was $ 14.83 , $ 13.42 and $ 13.64 , respectively ."}, "exe_ans": 0.10507, "tfidftopn": {"table_2": "The weighted average risk-free interest rate of 2014 is 0.09% ( 0.09 % ) ; The weighted average risk-free interest rate of 2013 is 0.10% ( 0.10 % ) ; The weighted average risk-free interest rate of 2012 is 0.08% ( 0.08 % ) ;", "table_5": "The weighted average expected volatility of underlying stock price of 2014 is 14.14% ( 14.14 % ) ; The weighted average expected volatility of underlying stock price of 2013 is 12.88% ( 12.88 % ) ; The weighted average expected volatility of underlying stock price of 2012 is 33.54% ( 33.54 % ) ;"}, "program_re": "divide(subtract(14.83, 13.42), 13.42)", "model_input": [["text_1", "the weighted average fair value per share of espp share purchase options during the year ended december 31 , 2014 , 2013 and 2012 was $ 14.83 , $ 13.42 and $ 13.64 , respectively ."], ["table_2", "the weighted average risk-free interest rate of 2014 is 0.09% ( 0.09 % ) ; the weighted average risk-free interest rate of 2013 is 0.10% ( 0.10 % ) ; the weighted average risk-free interest rate of 2012 is 0.08% ( 0.08 % ) ;"], ["table_5", "the weighted average expected volatility of underlying stock price of 2014 is 14.14% ( 14.14 % ) ; the weighted average expected volatility of underlying stock price of 2013 is 12.88% ( 12.88 % ) ; the weighted average expected volatility of underlying stock price of 2012 is 33.54% ( 33.54 % ) ;"]]}, "answers": ["10.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001104", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the weighted average fair value per share of espp share purchase options from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "10.5%.", "rejected": "-1.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in the weighted average fair value per share of espp share purchase options <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in the weighted average fair value per share of espp share purchase options <TIME>?", "original_question": "what is the growth rate in the weighted average fair value per share of espp share purchase options from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1.6%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "10.5%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "AMT/2014/page_157.pdf-4", "qa": {"question": "what is the growth rate in the weighted average fair value per share of espp share purchase options from 2013 to 2014?", "answer": "10.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "14.83", "arg2": "13.42", "res": "1.41"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13.42", "res": "10.5%"}], "program": "subtract(14.83, 13.42), divide(#0, 13.42)", "gold_inds": {"text_1": "the weighted average fair value per share of espp share purchase options during the year ended december 31 , 2014 , 2013 and 2012 was $ 14.83 , $ 13.42 and $ 13.64 , respectively ."}, "exe_ans": 0.10507, "tfidftopn": {"table_2": "The weighted average risk-free interest rate of 2014 is 0.09% ( 0.09 % ) ; The weighted average risk-free interest rate of 2013 is 0.10% ( 0.10 % ) ; The weighted average risk-free interest rate of 2012 is 0.08% ( 0.08 % ) ;", "table_5": "The weighted average expected volatility of underlying stock price of 2014 is 14.14% ( 14.14 % ) ; The weighted average expected volatility of underlying stock price of 2013 is 12.88% ( 12.88 % ) ; The weighted average expected volatility of underlying stock price of 2012 is 33.54% ( 33.54 % ) ;"}, "program_re": "divide(subtract(14.83, 13.42), 13.42)", "model_input": [["text_1", "the weighted average fair value per share of espp share purchase options during the year ended december 31 , 2014 , 2013 and 2012 was $ 14.83 , $ 13.42 and $ 13.64 , respectively ."], ["table_2", "the weighted average risk-free interest rate of 2014 is 0.09% ( 0.09 % ) ; the weighted average risk-free interest rate of 2013 is 0.10% ( 0.10 % ) ; the weighted average risk-free interest rate of 2012 is 0.08% ( 0.08 % ) ;"], ["table_5", "the weighted average expected volatility of underlying stock price of 2014 is 14.14% ( 14.14 % ) ; the weighted average expected volatility of underlying stock price of 2013 is 12.88% ( 12.88 % ) ; the weighted average expected volatility of underlying stock price of 2012 is 33.54% ( 33.54 % ) ;"]]}, "answers": ["10.5%"]}, "rejected_source": {"id": "AMT/2014/page_157.pdf-2", "qa": {"question": "what is the growth rate in the weighted average fair value per share of espp share purchase options from 2012 to 2013?", "answer": "-1.6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "minus2-1", "arg1": "13.42", "arg2": "13.64", "res": "-0.22"}, {"op": "divide2-2", "arg1": "#0", "arg2": "13.64", "res": "-1.6%"}], "program": "subtract(13.42, 13.64), divide(#0, 13.64)", "gold_inds": {"text_1": "the weighted average fair value per share of espp share purchase options during the year ended december 31 , 2014 , 2013 and 2012 was $ 14.83 , $ 13.42 and $ 13.64 , respectively ."}, "exe_ans": -0.01613, "tfidftopn": {"table_2": "The weighted average risk-free interest rate of 2014 is 0.09% ( 0.09 % ) ; The weighted average risk-free interest rate of 2013 is 0.10% ( 0.10 % ) ; The weighted average risk-free interest rate of 2012 is 0.08% ( 0.08 % ) ;", "table_5": "The weighted average expected volatility of underlying stock price of 2014 is 14.14% ( 14.14 % ) ; The weighted average expected volatility of underlying stock price of 2013 is 12.88% ( 12.88 % ) ; The weighted average expected volatility of underlying stock price of 2012 is 33.54% ( 33.54 % ) ;"}, "program_re": "divide(subtract(13.42, 13.64), 13.64)", "model_input": [["text_1", "the weighted average fair value per share of espp share purchase options during the year ended december 31 , 2014 , 2013 and 2012 was $ 14.83 , $ 13.42 and $ 13.64 , respectively ."], ["table_5", "the weighted average expected volatility of underlying stock price of 2014 is 14.14% ( 14.14 % ) ; the weighted average expected volatility of underlying stock price of 2013 is 12.88% ( 12.88 % ) ; the weighted average expected volatility of underlying stock price of 2012 is 33.54% ( 33.54 % ) ;"], ["text_10", "dividends on shares of mandatory convertible preferred stock are payable on a cumulative basis when , as and if declared by the company 2019s board of directors ( or an authorized committee thereof ) at an annual rate of 5.25% ( 5.25 % ) on the liquidation preference of $ 100.00 per share , on february 15 , may 15 , august 15 and november 15 of each year , commencing on august 15 , 2014 to , and including , may 15 , 2017 ."]]}, "answers": ["-1.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001105", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in pmi's share price from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "13.4%.", "rejected": "8.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what is the growth rate in pmi's share price <TIME>?", "doc_prefix": "PM", "base_question": "what is the growth rate in pmi's share price <TIME>?", "original_question": "what is the growth rate in pmi's share price from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.5%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "13.4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "PM/2017/page_25.pdf-2", "qa": {"question": "what is the growth rate in pmi's share price from 2014 to 2015?", "answer": "13.4%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "120.40", "arg2": "106.20", "res": "14.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "106.20", "res": "13.4%"}], "program": "subtract(120.40, 106.20), divide(#0, 106.20)", "gold_inds": {"table_3": "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;", "table_4": "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;"}, "exe_ans": 0.13371, "tfidftopn": {"text_2": "date pmi pmi peer group ( 1 ) s&p 500 index ."}, "program_re": "divide(subtract(120.40, 106.20), 106.20)", "model_input": [["table_2", "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;"], ["table_3", "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;"], ["table_4", "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;"]]}, "answers": ["13.4%"]}, "rejected_source": {"id": "PM/2017/page_25.pdf-1", "qa": {"question": "what is the growth rate in pmi's share price from 2012 to 2013?", "answer": "8.5%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "108.50", "arg2": "const_100", "res": "8.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "8.5%"}], "program": "subtract(108.50, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;", "table_2": "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;"}, "exe_ans": 0.085, "tfidftopn": {"text_2": "date pmi pmi peer group ( 1 ) s&p 500 index ."}, "program_re": "divide(subtract(108.50, const_100), const_100)", "model_input": [["text_1", "the graph assumes the investment of $ 100 as of december 31 , 2012 , in pmi common stock ( at prices quoted on the new york stock exchange ) and each of the indices as of the market close and reinvestment of dividends on a quarterly basis ."], ["table_1", "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;"], ["table_2", "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;"]]}, "answers": ["8.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001106", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in pmi's share price from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "8.5%.", "rejected": "13.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what is the growth rate in pmi's share price <TIME>?", "doc_prefix": "PM", "base_question": "what is the growth rate in pmi's share price <TIME>?", "original_question": "what is the growth rate in pmi's share price from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.5%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "13.4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "PM/2017/page_25.pdf-1", "qa": {"question": "what is the growth rate in pmi's share price from 2012 to 2013?", "answer": "8.5%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "108.50", "arg2": "const_100", "res": "8.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "8.5%"}], "program": "subtract(108.50, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;", "table_2": "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;"}, "exe_ans": 0.085, "tfidftopn": {"text_2": "date pmi pmi peer group ( 1 ) s&p 500 index ."}, "program_re": "divide(subtract(108.50, const_100), const_100)", "model_input": [["text_1", "the graph assumes the investment of $ 100 as of december 31 , 2012 , in pmi common stock ( at prices quoted on the new york stock exchange ) and each of the indices as of the market close and reinvestment of dividends on a quarterly basis ."], ["table_1", "date the december 31 2012 of pmi is $ 100.00 ; the december 31 2012 of pmi peer group ( 1 ) is $ 100.00 ; the december 31 2012 of s&p 500 index is $ 100.00 ;"], ["table_2", "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;"]]}, "answers": ["8.5%"]}, "rejected_source": {"id": "PM/2017/page_25.pdf-2", "qa": {"question": "what is the growth rate in pmi's share price from 2014 to 2015?", "answer": "13.4%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "120.40", "arg2": "106.20", "res": "14.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "106.20", "res": "13.4%"}], "program": "subtract(120.40, 106.20), divide(#0, 106.20)", "gold_inds": {"table_3": "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;", "table_4": "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;"}, "exe_ans": 0.13371, "tfidftopn": {"text_2": "date pmi pmi peer group ( 1 ) s&p 500 index ."}, "program_re": "divide(subtract(120.40, 106.20), 106.20)", "model_input": [["table_2", "date the december 31 2013 of pmi is $ 108.50 ; the december 31 2013 of pmi peer group ( 1 ) is $ 122.80 ; the december 31 2013 of s&p 500 index is $ 132.40 ;"], ["table_3", "date the december 31 2014 of pmi is $ 106.20 ; the december 31 2014 of pmi peer group ( 1 ) is $ 132.50 ; the december 31 2014 of s&p 500 index is $ 150.50 ;"], ["table_4", "date the december 31 2015 of pmi is $ 120.40 ; the december 31 2015 of pmi peer group ( 1 ) is $ 143.50 ; the december 31 2015 of s&p 500 index is $ 152.60 ;"]]}, "answers": ["13.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001107", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average net earnings in millions from 2002 to 2006?\nReference time interval: 2002-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "1435.", "rejected": "719.6.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the average net earnings in millions <TIME>?", "doc_prefix": "LMT", "base_question": "what was the average net earnings in millions <TIME>?", "original_question": "what was the average net earnings in millions from 2002 to 2006?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2002 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"719.6": [{"start": "2001-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2001 to 2005"}], "1435": [{"start": "2002-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2002 to 2006"}]}, "chosen_source": {"id": "LMT/2006/page_39.pdf-2", "qa": {"question": "what was the average net earnings in millions from 2002 to 2006?", "answer": "1435", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "net earnings", "arg2": "none", "res": "1435"}], "program": "table_average(net earnings, none)", "gold_inds": {"table_1": "( in millions ) the net earnings of 2006 is $ 2529 ; the net earnings of 2005 is $ 1825 ; the net earnings of 2004 is $ 1266 ; the net earnings of 2003 is $ 1053 ; the net earnings of 2002 is $ 500 ;"}, "exe_ans": 1434.6, "tfidftopn": {"table_4": "( in millions ) The average debt2 5 of 2006 is $ 4727 ; The average debt2 5 of 2005 is $ 5077 ; The average debt2 5 of 2004 is $ 5932 ; The average debt2 5 of 2003 is $ 6612 ; The average debt2 5 of 2002 is $ 7491 ;", "table_5": "( in millions ) The average equity3 5 of 2006 is 7686 ; The average equity3 5 of 2005 is 7590 ; The average equity3 5 of 2004 is 7015 ; The average equity3 5 of 2003 is 6170 ; The average equity3 5 of 2002 is 6853 ;"}, "program_re": "table_average(net earnings, none)", "model_input": [["table_1", "( in millions ) the net earnings of 2006 is $ 2529 ; the net earnings of 2005 is $ 1825 ; the net earnings of 2004 is $ 1266 ; the net earnings of 2003 is $ 1053 ; the net earnings of 2002 is $ 500 ;"], ["table_4", "( in millions ) the average debt2 5 of 2006 is $ 4727 ; the average debt2 5 of 2005 is $ 5077 ; the average debt2 5 of 2004 is $ 5932 ; the average debt2 5 of 2003 is $ 6612 ; the average debt2 5 of 2002 is $ 7491 ;"], ["text_20", "5 yearly averages are calculated using balances at the start of the year and at the end of each quarter. ."]]}, "answers": ["1435"]}, "rejected_source": {"id": "LMT/2005/page_76.pdf-2", "qa": {"question": "what was the average net earnings in millions from 2001 to 2005?", "answer": "719.6", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "net earnings", "arg2": "none", "res": "719.6"}], "program": "table_average(net earnings, none)", "gold_inds": {"table_1": "( in millions ) the net earnings of 2005 is $ 1825 ; the net earnings of 2004 is $ 1266 ; the net earnings of 2003 is $ 1053 ; the net earnings of 2002 is $ 500 ; the net earnings of 2001 is $ -1046 ( 1046 ) ;"}, "exe_ans": 719.6, "tfidftopn": {"text_16": "( in millions ) 2005 2004 2003 2002 2001 .", "table_4": "( in millions ) The average debt2 5 of 2005 is $ 5077 ; The average debt2 5 of 2004 is $ 5932 ; The average debt2 5 of 2003 is $ 6612 ; The average debt2 5 of 2002 is $ 7491 ; The average debt2 5 of 2001 is $ 8782 ;"}, "program_re": "table_average(net earnings, none)", "model_input": [["table_1", "( in millions ) the net earnings of 2005 is $ 1825 ; the net earnings of 2004 is $ 1266 ; the net earnings of 2003 is $ 1053 ; the net earnings of 2002 is $ 500 ; the net earnings of 2001 is $ -1046 ( 1046 ) ;"], ["table_4", "( in millions ) the average debt2 5 of 2005 is $ 5077 ; the average debt2 5 of 2004 is $ 5932 ; the average debt2 5 of 2003 is $ 6612 ; the average debt2 5 of 2002 is $ 7491 ; the average debt2 5 of 2001 is $ 8782 ;"], ["table_5", "( in millions ) the average equity3 5 of 2005 is 7590 ; the average equity3 5 of 2004 is 7015 ; the average equity3 5 of 2003 is 6170 ; the average equity3 5 of 2002 is 6853 ; the average equity3 5 of 2001 is 7221 ;"]]}, "answers": ["719.6"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001108", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average net earnings in millions from 2001 to 2005?\nReference time interval: 2001-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "719.6.", "rejected": "1435.", "meta": {"dataset": "finqa", "split": "train", "group_key": "LMT || what was the average net earnings in millions <TIME>?", "doc_prefix": "LMT", "base_question": "what was the average net earnings in millions <TIME>?", "original_question": "what was the average net earnings in millions from 2001 to 2005?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2001 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"719.6": [{"start": "2001-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2001 to 2005"}], "1435": [{"start": "2002-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2002 to 2006"}]}, "chosen_source": {"id": "LMT/2005/page_76.pdf-2", "qa": {"question": "what was the average net earnings in millions from 2001 to 2005?", "answer": "719.6", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "net earnings", "arg2": "none", "res": "719.6"}], "program": "table_average(net earnings, none)", "gold_inds": {"table_1": "( in millions ) the net earnings of 2005 is $ 1825 ; the net earnings of 2004 is $ 1266 ; the net earnings of 2003 is $ 1053 ; the net earnings of 2002 is $ 500 ; the net earnings of 2001 is $ -1046 ( 1046 ) ;"}, "exe_ans": 719.6, "tfidftopn": {"text_16": "( in millions ) 2005 2004 2003 2002 2001 .", "table_4": "( in millions ) The average debt2 5 of 2005 is $ 5077 ; The average debt2 5 of 2004 is $ 5932 ; The average debt2 5 of 2003 is $ 6612 ; The average debt2 5 of 2002 is $ 7491 ; The average debt2 5 of 2001 is $ 8782 ;"}, "program_re": "table_average(net earnings, none)", "model_input": [["table_1", "( in millions ) the net earnings of 2005 is $ 1825 ; the net earnings of 2004 is $ 1266 ; the net earnings of 2003 is $ 1053 ; the net earnings of 2002 is $ 500 ; the net earnings of 2001 is $ -1046 ( 1046 ) ;"], ["table_4", "( in millions ) the average debt2 5 of 2005 is $ 5077 ; the average debt2 5 of 2004 is $ 5932 ; the average debt2 5 of 2003 is $ 6612 ; the average debt2 5 of 2002 is $ 7491 ; the average debt2 5 of 2001 is $ 8782 ;"], ["table_5", "( in millions ) the average equity3 5 of 2005 is 7590 ; the average equity3 5 of 2004 is 7015 ; the average equity3 5 of 2003 is 6170 ; the average equity3 5 of 2002 is 6853 ; the average equity3 5 of 2001 is 7221 ;"]]}, "answers": ["719.6"]}, "rejected_source": {"id": "LMT/2006/page_39.pdf-2", "qa": {"question": "what was the average net earnings in millions from 2002 to 2006?", "answer": "1435", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "average2-1", "arg1": "net earnings", "arg2": "none", "res": "1435"}], "program": "table_average(net earnings, none)", "gold_inds": {"table_1": "( in millions ) the net earnings of 2006 is $ 2529 ; the net earnings of 2005 is $ 1825 ; the net earnings of 2004 is $ 1266 ; the net earnings of 2003 is $ 1053 ; the net earnings of 2002 is $ 500 ;"}, "exe_ans": 1434.6, "tfidftopn": {"table_4": "( in millions ) The average debt2 5 of 2006 is $ 4727 ; The average debt2 5 of 2005 is $ 5077 ; The average debt2 5 of 2004 is $ 5932 ; The average debt2 5 of 2003 is $ 6612 ; The average debt2 5 of 2002 is $ 7491 ;", "table_5": "( in millions ) The average equity3 5 of 2006 is 7686 ; The average equity3 5 of 2005 is 7590 ; The average equity3 5 of 2004 is 7015 ; The average equity3 5 of 2003 is 6170 ; The average equity3 5 of 2002 is 6853 ;"}, "program_re": "table_average(net earnings, none)", "model_input": [["table_1", "( in millions ) the net earnings of 2006 is $ 2529 ; the net earnings of 2005 is $ 1825 ; the net earnings of 2004 is $ 1266 ; the net earnings of 2003 is $ 1053 ; the net earnings of 2002 is $ 500 ;"], ["table_4", "( in millions ) the average debt2 5 of 2006 is $ 4727 ; the average debt2 5 of 2005 is $ 5077 ; the average debt2 5 of 2004 is $ 5932 ; the average debt2 5 of 2003 is $ 6612 ; the average debt2 5 of 2002 is $ 7491 ;"], ["text_20", "5 yearly averages are calculated using balances at the start of the year and at the end of each quarter. ."]]}, "answers": ["1435"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001109", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of net sales in fiscal 2013 where due to private brands?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "13%.", "rejected": "26%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percent of net sales in fiscal <TIME> where due to private brands?", "doc_prefix": "CAG", "base_question": "what percent of net sales in fiscal <TIME> where due to private brands?", "original_question": "what percent of net sales in fiscal 2013 where due to private brands?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "26%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "CAG/2015/page_28.pdf-1", "qa": {"question": "what percent of net sales in fiscal 2013 where due to private brands?", "answer": "13%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1808.2", "arg2": "13469.3", "res": "13%"}], "program": "divide(1808.2, 13469.3)", "gold_inds": {"table_3": "( $ in millions ) reporting segment the private brands of fiscal 2014 net sales is 4195.7 ; the private brands of fiscal 2013 net sales is 1808.2 ; the private brands of % ( % ) inc ( dec ) is 132% ( 132 % ) ;", "table_4": "( $ in millions ) reporting segment the total of fiscal 2014 net sales is $ 15843.6 ; the total of fiscal 2013 net sales is $ 13469.3 ; the total of % ( % ) inc ( dec ) is 18% ( 18 % ) ;"}, "exe_ans": 0.13425, "tfidftopn": {"text_17": "fiscal 2014 compared to fiscal 2013 net sales ( $ in millions ) reporting segment fiscal 2014 net sales fiscal 2013 net sales ."}, "program_re": "divide(1808.2, 13469.3)", "model_input": [["text_17", "fiscal 2014 compared to fiscal 2013 net sales ( $ in millions ) reporting segment fiscal 2014 net sales fiscal 2013 net sales ."], ["table_3", "( $ in millions ) reporting segment the private brands of fiscal 2014 net sales is 4195.7 ; the private brands of fiscal 2013 net sales is 1808.2 ; the private brands of % ( % ) inc ( dec ) is 132% ( 132 % ) ;"], ["table_4", "( $ in millions ) reporting segment the total of fiscal 2014 net sales is $ 15843.6 ; the total of fiscal 2013 net sales is $ 13469.3 ; the total of % ( % ) inc ( dec ) is 18% ( 18 % ) ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "CAG/2015/page_28.pdf-2", "qa": {"question": "what percent of net sales in fiscal 2014 where due to private brands?", "answer": "26%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4195.7", "arg2": "15843.6", "res": "26%"}], "program": "divide(4195.7, 15843.6)", "gold_inds": {"table_3": "( $ in millions ) reporting segment the private brands of fiscal 2014 net sales is 4195.7 ; the private brands of fiscal 2013 net sales is 1808.2 ; the private brands of % ( % ) inc ( dec ) is 132% ( 132 % ) ;", "table_4": "( $ in millions ) reporting segment the total of fiscal 2014 net sales is $ 15843.6 ; the total of fiscal 2013 net sales is $ 13469.3 ; the total of % ( % ) inc ( dec ) is 18% ( 18 % ) ;"}, "exe_ans": 0.26482, "tfidftopn": {"text_17": "fiscal 2014 compared to fiscal 2013 net sales ( $ in millions ) reporting segment fiscal 2014 net sales fiscal 2013 net sales ."}, "program_re": "divide(4195.7, 15843.6)", "model_input": [["text_17", "fiscal 2014 compared to fiscal 2013 net sales ( $ in millions ) reporting segment fiscal 2014 net sales fiscal 2013 net sales ."], ["table_3", "( $ in millions ) reporting segment the private brands of fiscal 2014 net sales is 4195.7 ; the private brands of fiscal 2013 net sales is 1808.2 ; the private brands of % ( % ) inc ( dec ) is 132% ( 132 % ) ;"], ["table_4", "( $ in millions ) reporting segment the total of fiscal 2014 net sales is $ 15843.6 ; the total of fiscal 2013 net sales is $ 13469.3 ; the total of % ( % ) inc ( dec ) is 18% ( 18 % ) ;"]]}, "answers": ["26%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001110", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of net sales in fiscal 2014 where due to private brands?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "26%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percent of net sales in fiscal <TIME> where due to private brands?", "doc_prefix": "CAG", "base_question": "what percent of net sales in fiscal <TIME> where due to private brands?", "original_question": "what percent of net sales in fiscal 2014 where due to private brands?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "26%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "CAG/2015/page_28.pdf-2", "qa": {"question": "what percent of net sales in fiscal 2014 where due to private brands?", "answer": "26%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4195.7", "arg2": "15843.6", "res": "26%"}], "program": "divide(4195.7, 15843.6)", "gold_inds": {"table_3": "( $ in millions ) reporting segment the private brands of fiscal 2014 net sales is 4195.7 ; the private brands of fiscal 2013 net sales is 1808.2 ; the private brands of % ( % ) inc ( dec ) is 132% ( 132 % ) ;", "table_4": "( $ in millions ) reporting segment the total of fiscal 2014 net sales is $ 15843.6 ; the total of fiscal 2013 net sales is $ 13469.3 ; the total of % ( % ) inc ( dec ) is 18% ( 18 % ) ;"}, "exe_ans": 0.26482, "tfidftopn": {"text_17": "fiscal 2014 compared to fiscal 2013 net sales ( $ in millions ) reporting segment fiscal 2014 net sales fiscal 2013 net sales ."}, "program_re": "divide(4195.7, 15843.6)", "model_input": [["text_17", "fiscal 2014 compared to fiscal 2013 net sales ( $ in millions ) reporting segment fiscal 2014 net sales fiscal 2013 net sales ."], ["table_3", "( $ in millions ) reporting segment the private brands of fiscal 2014 net sales is 4195.7 ; the private brands of fiscal 2013 net sales is 1808.2 ; the private brands of % ( % ) inc ( dec ) is 132% ( 132 % ) ;"], ["table_4", "( $ in millions ) reporting segment the total of fiscal 2014 net sales is $ 15843.6 ; the total of fiscal 2013 net sales is $ 13469.3 ; the total of % ( % ) inc ( dec ) is 18% ( 18 % ) ;"]]}, "answers": ["26%"]}, "rejected_source": {"id": "CAG/2015/page_28.pdf-1", "qa": {"question": "what percent of net sales in fiscal 2013 where due to private brands?", "answer": "13%", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1808.2", "arg2": "13469.3", "res": "13%"}], "program": "divide(1808.2, 13469.3)", "gold_inds": {"table_3": "( $ in millions ) reporting segment the private brands of fiscal 2014 net sales is 4195.7 ; the private brands of fiscal 2013 net sales is 1808.2 ; the private brands of % ( % ) inc ( dec ) is 132% ( 132 % ) ;", "table_4": "( $ in millions ) reporting segment the total of fiscal 2014 net sales is $ 15843.6 ; the total of fiscal 2013 net sales is $ 13469.3 ; the total of % ( % ) inc ( dec ) is 18% ( 18 % ) ;"}, "exe_ans": 0.13425, "tfidftopn": {"text_17": "fiscal 2014 compared to fiscal 2013 net sales ( $ in millions ) reporting segment fiscal 2014 net sales fiscal 2013 net sales ."}, "program_re": "divide(1808.2, 13469.3)", "model_input": [["text_17", "fiscal 2014 compared to fiscal 2013 net sales ( $ in millions ) reporting segment fiscal 2014 net sales fiscal 2013 net sales ."], ["table_3", "( $ in millions ) reporting segment the private brands of fiscal 2014 net sales is 4195.7 ; the private brands of fiscal 2013 net sales is 1808.2 ; the private brands of % ( % ) inc ( dec ) is 132% ( 132 % ) ;"], ["table_4", "( $ in millions ) reporting segment the total of fiscal 2014 net sales is $ 15843.6 ; the total of fiscal 2013 net sales is $ 13469.3 ; the total of % ( % ) inc ( dec ) is 18% ( 18 % ) ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001111", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in ccg operating income in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-20.9%.", "rejected": "30.4.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what is the growth rate in ccg operating income <TIME>?", "doc_prefix": "INTC", "base_question": "what is the growth rate in ccg operating income <TIME>?", "original_question": "what is the growth rate in ccg operating income in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.9%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "30.4": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "INTC/2016/page_43.pdf-2", "qa": {"question": "what is the growth rate in ccg operating income in 2015?", "answer": "-20.9%", "explanation": "", "ann_table_rows": [7, 14], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "8166", "arg2": "10327", "res": "-2161"}, {"op": "divide2-2", "arg1": "#0", "arg2": "10327", "res": "-20.9%"}], "program": "subtract(8166, 10327), divide(#0, 10327)", "gold_inds": {"table_7": "( in millions ) the $ 8166 of operating income reconciliation is 2015 ccg operating income ;", "table_14": "( in millions ) the $ 10327 of operating income reconciliation is 2014 ccg operating income ;"}, "exe_ans": -0.20926, "tfidftopn": {"table_1": "( in millions ) The $ 10646 of operating income reconciliation is 2016 ccg operating income ;"}, "program_re": "divide(subtract(8166, 10327), 10327)", "model_input": [["table_1", "( in millions ) the $ 10646 of operating income reconciliation is 2016 ccg operating income ;"], ["table_7", "( in millions ) the $ 8166 of operating income reconciliation is 2015 ccg operating income ;"], ["table_14", "( in millions ) the $ 10327 of operating income reconciliation is 2014 ccg operating income ;"]]}, "answers": ["-20.9%"]}, "rejected_source": {"id": "INTC/2016/page_43.pdf-1", "qa": {"question": "what is the growth rate in ccg operating income in 2016?", "answer": "30.4", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "10646", "arg2": "8166", "res": "2480"}, {"op": "divide1-2", "arg1": "#0", "arg2": "8166", "res": "30.4%"}], "program": "subtract(10646, 8166), divide(#0, 8166)", "gold_inds": {"table_1": "( in millions ) the $ 10646 of operating income reconciliation is 2016 ccg operating income ;", "table_7": "( in millions ) the $ 8166 of operating income reconciliation is 2015 ccg operating income ;"}, "exe_ans": 0.3037, "tfidftopn": {"table_14": "( in millions ) The $ 10327 of operating income reconciliation is 2014 ccg operating income ;"}, "program_re": "divide(subtract(10646, 8166), 8166)", "model_input": [["table_1", "( in millions ) the $ 10646 of operating income reconciliation is 2016 ccg operating income ;"], ["table_7", "( in millions ) the $ 8166 of operating income reconciliation is 2015 ccg operating income ;"], ["table_14", "( in millions ) the $ 10327 of operating income reconciliation is 2014 ccg operating income ;"]]}, "answers": ["30.4"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001112", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in ccg operating income in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "30.4.", "rejected": "-20.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what is the growth rate in ccg operating income <TIME>?", "doc_prefix": "INTC", "base_question": "what is the growth rate in ccg operating income <TIME>?", "original_question": "what is the growth rate in ccg operating income in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-20.9%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "30.4": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "INTC/2016/page_43.pdf-1", "qa": {"question": "what is the growth rate in ccg operating income in 2016?", "answer": "30.4", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "10646", "arg2": "8166", "res": "2480"}, {"op": "divide1-2", "arg1": "#0", "arg2": "8166", "res": "30.4%"}], "program": "subtract(10646, 8166), divide(#0, 8166)", "gold_inds": {"table_1": "( in millions ) the $ 10646 of operating income reconciliation is 2016 ccg operating income ;", "table_7": "( in millions ) the $ 8166 of operating income reconciliation is 2015 ccg operating income ;"}, "exe_ans": 0.3037, "tfidftopn": {"table_14": "( in millions ) The $ 10327 of operating income reconciliation is 2014 ccg operating income ;"}, "program_re": "divide(subtract(10646, 8166), 8166)", "model_input": [["table_1", "( in millions ) the $ 10646 of operating income reconciliation is 2016 ccg operating income ;"], ["table_7", "( in millions ) the $ 8166 of operating income reconciliation is 2015 ccg operating income ;"], ["table_14", "( in millions ) the $ 10327 of operating income reconciliation is 2014 ccg operating income ;"]]}, "answers": ["30.4"]}, "rejected_source": {"id": "INTC/2016/page_43.pdf-2", "qa": {"question": "what is the growth rate in ccg operating income in 2015?", "answer": "-20.9%", "explanation": "", "ann_table_rows": [7, 14], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "8166", "arg2": "10327", "res": "-2161"}, {"op": "divide2-2", "arg1": "#0", "arg2": "10327", "res": "-20.9%"}], "program": "subtract(8166, 10327), divide(#0, 10327)", "gold_inds": {"table_7": "( in millions ) the $ 8166 of operating income reconciliation is 2015 ccg operating income ;", "table_14": "( in millions ) the $ 10327 of operating income reconciliation is 2014 ccg operating income ;"}, "exe_ans": -0.20926, "tfidftopn": {"table_1": "( in millions ) The $ 10646 of operating income reconciliation is 2016 ccg operating income ;"}, "program_re": "divide(subtract(8166, 10327), 10327)", "model_input": [["table_1", "( in millions ) the $ 10646 of operating income reconciliation is 2016 ccg operating income ;"], ["table_7", "( in millions ) the $ 8166 of operating income reconciliation is 2015 ccg operating income ;"], ["table_14", "( in millions ) the $ 10327 of operating income reconciliation is 2014 ccg operating income ;"]]}, "answers": ["-20.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001113", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the total purchased shares presented in the table was purchased during november 2008?\nReference time interval: 2008-11-01 00:00:00 to 2008-12-01 00:00:00", "chosen": "22.8%.", "rejected": "77.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FITB || what portion of the total purchased shares presented in the table was purchased <TIME>?", "doc_prefix": "FITB", "base_question": "what portion of the total purchased shares presented in the table was purchased <TIME>?", "original_question": "what portion of the total purchased shares presented in the table was purchased during november 2008?", "reference_time": {"start": "2008-11-01 00:00:00", "end": "2008-12-01 00:00:00", "normalized_text": "2008-11", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"77.0%": [{"start": "2008-10-01 00:00:00", "end": "2008-11-01 00:00:00", "normalized_text": "2008-10"}], "22.8%": [{"start": "2008-11-01 00:00:00", "end": "2008-12-01 00:00:00", "normalized_text": "2008-11"}]}, "chosen_source": {"id": "FITB/2008/page_96.pdf-3", "qa": {"question": "what portion of the total purchased shares presented in the table was purchased during november 2008?", "answer": "22.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "7526", "arg2": "32960", "res": "22.8%"}], "program": "divide(7526, 32960)", "gold_inds": {"table_2": "period the november 2008 of sharespurchased ( a ) is 7526 ; the november 2008 of averagepricepaid pershare is - ; the november 2008 of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the november 2008 of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;", "table_4": "period the total of sharespurchased ( a ) is 32960 ; the total of averagepricepaid pershare is $ - ; the total of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the total of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"}, "exe_ans": 0.22834, "tfidftopn": {"text_3": "issuer purchases of equity securities period shares purchased average paid per shares purchased as part of publicly announced plans or programs maximum shares that may be purchased under the plans or programs ."}, "program_re": "divide(7526, 32960)", "model_input": [["table_2", "period the november 2008 of sharespurchased ( a ) is 7526 ; the november 2008 of averagepricepaid pershare is - ; the november 2008 of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the november 2008 of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"], ["table_4", "period the total of sharespurchased ( a ) is 32960 ; the total of averagepricepaid pershare is $ - ; the total of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the total of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"], ["text_4", "( a ) the bancorp repurchased 25394 , 7526 and 40 shares during october , november and december of 2008 in connection with various employee compensation plans of the bancorp ."]]}, "answers": ["22.8%"]}, "rejected_source": {"id": "FITB/2008/page_96.pdf-1", "qa": {"question": "what portion of the total purchased shares presented in the table was purchased during october 2008?", "answer": "77.0%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "25394", "arg2": "32960", "res": "77.0%"}], "program": "divide(25394, 32960)", "gold_inds": {"table_1": "period the october 2008 of sharespurchased ( a ) is 25394 ; the october 2008 of averagepricepaid pershare is $ - ; the october 2008 of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the october 2008 of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;", "table_4": "period the total of sharespurchased ( a ) is 32960 ; the total of averagepricepaid pershare is $ - ; the total of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the total of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"}, "exe_ans": 0.77045, "tfidftopn": {"text_3": "issuer purchases of equity securities period shares purchased average paid per shares purchased as part of publicly announced plans or programs maximum shares that may be purchased under the plans or programs ."}, "program_re": "divide(25394, 32960)", "model_input": [["table_1", "period the october 2008 of sharespurchased ( a ) is 25394 ; the october 2008 of averagepricepaid pershare is $ - ; the october 2008 of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the october 2008 of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"], ["table_4", "period the total of sharespurchased ( a ) is 32960 ; the total of averagepricepaid pershare is $ - ; the total of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the total of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"], ["text_4", "( a ) the bancorp repurchased 25394 , 7526 and 40 shares during october , november and december of 2008 in connection with various employee compensation plans of the bancorp ."]]}, "answers": ["77.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001114", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the total purchased shares presented in the table was purchased during october 2008?\nReference time interval: 2008-10-01 00:00:00 to 2008-11-01 00:00:00", "chosen": "77.0%.", "rejected": "22.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FITB || what portion of the total purchased shares presented in the table was purchased <TIME>?", "doc_prefix": "FITB", "base_question": "what portion of the total purchased shares presented in the table was purchased <TIME>?", "original_question": "what portion of the total purchased shares presented in the table was purchased during october 2008?", "reference_time": {"start": "2008-10-01 00:00:00", "end": "2008-11-01 00:00:00", "normalized_text": "2008-10", "time_type": "month"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"77.0%": [{"start": "2008-10-01 00:00:00", "end": "2008-11-01 00:00:00", "normalized_text": "2008-10"}], "22.8%": [{"start": "2008-11-01 00:00:00", "end": "2008-12-01 00:00:00", "normalized_text": "2008-11"}]}, "chosen_source": {"id": "FITB/2008/page_96.pdf-1", "qa": {"question": "what portion of the total purchased shares presented in the table was purchased during october 2008?", "answer": "77.0%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "25394", "arg2": "32960", "res": "77.0%"}], "program": "divide(25394, 32960)", "gold_inds": {"table_1": "period the october 2008 of sharespurchased ( a ) is 25394 ; the october 2008 of averagepricepaid pershare is $ - ; the october 2008 of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the october 2008 of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;", "table_4": "period the total of sharespurchased ( a ) is 32960 ; the total of averagepricepaid pershare is $ - ; the total of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the total of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"}, "exe_ans": 0.77045, "tfidftopn": {"text_3": "issuer purchases of equity securities period shares purchased average paid per shares purchased as part of publicly announced plans or programs maximum shares that may be purchased under the plans or programs ."}, "program_re": "divide(25394, 32960)", "model_input": [["table_1", "period the october 2008 of sharespurchased ( a ) is 25394 ; the october 2008 of averagepricepaid pershare is $ - ; the october 2008 of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the october 2008 of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"], ["table_4", "period the total of sharespurchased ( a ) is 32960 ; the total of averagepricepaid pershare is $ - ; the total of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the total of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"], ["text_4", "( a ) the bancorp repurchased 25394 , 7526 and 40 shares during october , november and december of 2008 in connection with various employee compensation plans of the bancorp ."]]}, "answers": ["77.0%"]}, "rejected_source": {"id": "FITB/2008/page_96.pdf-3", "qa": {"question": "what portion of the total purchased shares presented in the table was purchased during november 2008?", "answer": "22.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "7526", "arg2": "32960", "res": "22.8%"}], "program": "divide(7526, 32960)", "gold_inds": {"table_2": "period the november 2008 of sharespurchased ( a ) is 7526 ; the november 2008 of averagepricepaid pershare is - ; the november 2008 of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the november 2008 of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;", "table_4": "period the total of sharespurchased ( a ) is 32960 ; the total of averagepricepaid pershare is $ - ; the total of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the total of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"}, "exe_ans": 0.22834, "tfidftopn": {"text_3": "issuer purchases of equity securities period shares purchased average paid per shares purchased as part of publicly announced plans or programs maximum shares that may be purchased under the plans or programs ."}, "program_re": "divide(7526, 32960)", "model_input": [["table_2", "period the november 2008 of sharespurchased ( a ) is 7526 ; the november 2008 of averagepricepaid pershare is - ; the november 2008 of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the november 2008 of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"], ["table_4", "period the total of sharespurchased ( a ) is 32960 ; the total of averagepricepaid pershare is $ - ; the total of sharespurchasedas part ofpubliclyannouncedplans orprograms is - ; the total of maximumshares thatmay bepurchasedunder theplans orprograms is 19201518 ;"], ["text_4", "( a ) the bancorp repurchased 25394 , 7526 and 40 shares during october , november and december of 2008 in connection with various employee compensation plans of the bancorp ."]]}, "answers": ["22.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001115", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in total accumulated other comprehensive losses in millions from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-2636.", "rejected": "-586.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what was the change in total accumulated other comprehensive losses in millions <TIME>?", "doc_prefix": "PM", "base_question": "what was the change in total accumulated other comprehensive losses in millions <TIME>?", "original_question": "what was the change in total accumulated other comprehensive losses in millions from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-586": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-2636": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "PM/2014/page_112.pdf-2", "qa": {"question": "what was the change in total accumulated other comprehensive losses in millions from 2013 to 2014?", "answer": "-2636", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-6826", "arg2": "-4190", "res": "-2636"}], "program": "subtract(-6826, -4190)", "gold_inds": {"table_4": "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2014 is $ -6826 ( 6826 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2013 is $ -4190 ( 4190 ) ; the total accumulated other comprehensive losses of 2012 is $ -3604 ( 3604 ) ;"}, "exe_ans": -2636.0, "tfidftopn": {"text_1": "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: .", "text_2": "reclassifications from other comprehensive earnings the movements in accumulated other comprehensive losses and the related tax impact , for each of the components above , that are due to current period activity and reclassifications to the income statement are shown on the consolidated statements of comprehensive earnings for the years ended december 31 , 2014 , 2013 , and 2012 ."}, "program_re": "subtract(-6826, -4190)", "model_input": [["text_1", "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: ."], ["table_4", "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2014 is $ -6826 ( 6826 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2013 is $ -4190 ( 4190 ) ; the total accumulated other comprehensive losses of 2012 is $ -3604 ( 3604 ) ;"], ["text_4", "in addition , $ 5 million and $ 12 million of net currency translation adjustment gains were transferred from other comprehensive earnings to marketing , administration and research costs in the consolidated statements of earnings for the years ended december 31 , 2014 and 2013 , respectively , upon liquidation of a subsidiary ."]]}, "answers": ["-2636"]}, "rejected_source": {"id": "PM/2014/page_112.pdf-1", "qa": {"question": "what was the change in total accumulated other comprehensive losses in millions from 2012 to 2013?", "answer": "-586", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-4190", "arg2": "-3604", "res": "-586"}], "program": "subtract(-4190, -3604)", "gold_inds": {"table_4": "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2014 is $ -6826 ( 6826 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2013 is $ -4190 ( 4190 ) ; the total accumulated other comprehensive losses of 2012 is $ -3604 ( 3604 ) ;"}, "exe_ans": -586.0, "tfidftopn": {"text_1": "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: .", "text_2": "reclassifications from other comprehensive earnings the movements in accumulated other comprehensive losses and the related tax impact , for each of the components above , that are due to current period activity and reclassifications to the income statement are shown on the consolidated statements of comprehensive earnings for the years ended december 31 , 2014 , 2013 , and 2012 ."}, "program_re": "subtract(-4190, -3604)", "model_input": [["text_1", "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: ."], ["table_1", "( losses ) earnings ( in millions ) the currency translation adjustments of ( losses ) earnings 2014 is $ -3929 ( 3929 ) ; the currency translation adjustments of ( losses ) earnings 2013 is $ -2207 ( 2207 ) ; the currency translation adjustments of 2012 is $ -331 ( 331 ) ;"], ["table_4", "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2014 is $ -6826 ( 6826 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2013 is $ -4190 ( 4190 ) ; the total accumulated other comprehensive losses of 2012 is $ -3604 ( 3604 ) ;"]]}, "answers": ["-586"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001116", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in total accumulated other comprehensive losses in millions from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-586.", "rejected": "-2636.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PM || what was the change in total accumulated other comprehensive losses in millions <TIME>?", "doc_prefix": "PM", "base_question": "what was the change in total accumulated other comprehensive losses in millions <TIME>?", "original_question": "what was the change in total accumulated other comprehensive losses in millions from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-586": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-2636": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "PM/2014/page_112.pdf-1", "qa": {"question": "what was the change in total accumulated other comprehensive losses in millions from 2012 to 2013?", "answer": "-586", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-4190", "arg2": "-3604", "res": "-586"}], "program": "subtract(-4190, -3604)", "gold_inds": {"table_4": "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2014 is $ -6826 ( 6826 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2013 is $ -4190 ( 4190 ) ; the total accumulated other comprehensive losses of 2012 is $ -3604 ( 3604 ) ;"}, "exe_ans": -586.0, "tfidftopn": {"text_1": "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: .", "text_2": "reclassifications from other comprehensive earnings the movements in accumulated other comprehensive losses and the related tax impact , for each of the components above , that are due to current period activity and reclassifications to the income statement are shown on the consolidated statements of comprehensive earnings for the years ended december 31 , 2014 , 2013 , and 2012 ."}, "program_re": "subtract(-4190, -3604)", "model_input": [["text_1", "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: ."], ["table_1", "( losses ) earnings ( in millions ) the currency translation adjustments of ( losses ) earnings 2014 is $ -3929 ( 3929 ) ; the currency translation adjustments of ( losses ) earnings 2013 is $ -2207 ( 2207 ) ; the currency translation adjustments of 2012 is $ -331 ( 331 ) ;"], ["table_4", "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2014 is $ -6826 ( 6826 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2013 is $ -4190 ( 4190 ) ; the total accumulated other comprehensive losses of 2012 is $ -3604 ( 3604 ) ;"]]}, "answers": ["-586"]}, "rejected_source": {"id": "PM/2014/page_112.pdf-2", "qa": {"question": "what was the change in total accumulated other comprehensive losses in millions from 2013 to 2014?", "answer": "-2636", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-6826", "arg2": "-4190", "res": "-2636"}], "program": "subtract(-6826, -4190)", "gold_inds": {"table_4": "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2014 is $ -6826 ( 6826 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2013 is $ -4190 ( 4190 ) ; the total accumulated other comprehensive losses of 2012 is $ -3604 ( 3604 ) ;"}, "exe_ans": -2636.0, "tfidftopn": {"text_1": "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: .", "text_2": "reclassifications from other comprehensive earnings the movements in accumulated other comprehensive losses and the related tax impact , for each of the components above , that are due to current period activity and reclassifications to the income statement are shown on the consolidated statements of comprehensive earnings for the years ended december 31 , 2014 , 2013 , and 2012 ."}, "program_re": "subtract(-6826, -4190)", "model_input": [["text_1", "accumulated other comprehensive losses : pmi's accumulated other comprehensive losses , net of taxes , consisted of the following: ."], ["table_4", "( losses ) earnings ( in millions ) the total accumulated other comprehensive losses of ( losses ) earnings 2014 is $ -6826 ( 6826 ) ; the total accumulated other comprehensive losses of ( losses ) earnings 2013 is $ -4190 ( 4190 ) ; the total accumulated other comprehensive losses of 2012 is $ -3604 ( 3604 ) ;"], ["text_4", "in addition , $ 5 million and $ 12 million of net currency translation adjustment gains were transferred from other comprehensive earnings to marketing , administration and research costs in the consolidated statements of earnings for the years ended december 31 , 2014 and 2013 , respectively , upon liquidation of a subsidiary ."]]}, "answers": ["-2636"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001117", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: as of december 31 , 2016 what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": ".93.", "rejected": ".95.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || as of december 31 , <TIME> what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "doc_prefix": "C", "base_question": "as of december 31 , <TIME> what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "original_question": "as of december 31 , 2016 what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {".95": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], ".93": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "C/2016/page_207.pdf-1", "qa": {"question": "as of december 31 , 2016 what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "answer": ".93", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "18513", "arg2": "19915", "res": ".93"}], "program": "divide(18513, 19915)", "gold_inds": {"table_2": "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ; the receivables from brokers dealers and clearing organizations of december 31 , 2015 is 17248 ;", "table_5": "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ; the payables to brokers dealers and clearing organizations of december 31 , 2015 is 18069 ;"}, "exe_ans": 0.9296, "tfidftopn": {"text_10": "payables to brokers , dealers , and clearing organizations 19915 18069 total brokerage payables ( 1 ) $ 57152 $ 53722 ( 1 ) includes brokerage receivables and payables recorded by citi broker- dealer entities that are accounted for in accordance with the aicpa accounting guide for brokers and dealers in securities as codified in asc 940-320. ."}, "program_re": "divide(18513, 19915)", "model_input": [["table_1", "in millions of dollars the receivables from customers of december 31 , 2016 is $ 10374 ; the receivables from customers of december 31 , 2015 is $ 10435 ;"], ["table_2", "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ; the receivables from brokers dealers and clearing organizations of december 31 , 2015 is 17248 ;"], ["table_5", "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ; the payables to brokers dealers and clearing organizations of december 31 , 2015 is 18069 ;"]]}, "answers": [".93"]}, "rejected_source": {"id": "C/2016/page_207.pdf-4", "qa": {"question": "as of december 31 , 2015 what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "answer": ".95", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "17248", "arg2": "18069", "res": ".95"}], "program": "divide(17248, 18069)", "gold_inds": {"table_2": "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ; the receivables from brokers dealers and clearing organizations of december 31 , 2015 is 17248 ;", "table_5": "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ; the payables to brokers dealers and clearing organizations of december 31 , 2015 is 18069 ;"}, "exe_ans": 0.95456, "tfidftopn": {"text_10": "payables to brokers , dealers , and clearing organizations 19915 18069 total brokerage payables ( 1 ) $ 57152 $ 53722 ( 1 ) includes brokerage receivables and payables recorded by citi broker- dealer entities that are accounted for in accordance with the aicpa accounting guide for brokers and dealers in securities as codified in asc 940-320. ."}, "program_re": "divide(17248, 18069)", "model_input": [["table_2", "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ; the receivables from brokers dealers and clearing organizations of december 31 , 2015 is 17248 ;"], ["table_5", "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ; the payables to brokers dealers and clearing organizations of december 31 , 2015 is 18069 ;"], ["text_10", "payables to brokers , dealers , and clearing organizations 19915 18069 total brokerage payables ( 1 ) $ 57152 $ 53722 ( 1 ) includes brokerage receivables and payables recorded by citi broker- dealer entities that are accounted for in accordance with the aicpa accounting guide for brokers and dealers in securities as codified in asc 940-320. ."]]}, "answers": [".95"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001118", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: as of december 31 , 2015 what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": ".95.", "rejected": ".93.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || as of december 31 , <TIME> what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "doc_prefix": "C", "base_question": "as of december 31 , <TIME> what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "original_question": "as of december 31 , 2015 what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {".95": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], ".93": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "C/2016/page_207.pdf-4", "qa": {"question": "as of december 31 , 2015 what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "answer": ".95", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "17248", "arg2": "18069", "res": ".95"}], "program": "divide(17248, 18069)", "gold_inds": {"table_2": "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ; the receivables from brokers dealers and clearing organizations of december 31 , 2015 is 17248 ;", "table_5": "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ; the payables to brokers dealers and clearing organizations of december 31 , 2015 is 18069 ;"}, "exe_ans": 0.95456, "tfidftopn": {"text_10": "payables to brokers , dealers , and clearing organizations 19915 18069 total brokerage payables ( 1 ) $ 57152 $ 53722 ( 1 ) includes brokerage receivables and payables recorded by citi broker- dealer entities that are accounted for in accordance with the aicpa accounting guide for brokers and dealers in securities as codified in asc 940-320. ."}, "program_re": "divide(17248, 18069)", "model_input": [["table_2", "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ; the receivables from brokers dealers and clearing organizations of december 31 , 2015 is 17248 ;"], ["table_5", "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ; the payables to brokers dealers and clearing organizations of december 31 , 2015 is 18069 ;"], ["text_10", "payables to brokers , dealers , and clearing organizations 19915 18069 total brokerage payables ( 1 ) $ 57152 $ 53722 ( 1 ) includes brokerage receivables and payables recorded by citi broker- dealer entities that are accounted for in accordance with the aicpa accounting guide for brokers and dealers in securities as codified in asc 940-320. ."]]}, "answers": [".95"]}, "rejected_source": {"id": "C/2016/page_207.pdf-1", "qa": {"question": "as of december 31 , 2016 what was the ratio of receivables from brokers dealers and clearing organizations to payables to brokers dealers and clearing organizations?", "answer": ".93", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "18513", "arg2": "19915", "res": ".93"}], "program": "divide(18513, 19915)", "gold_inds": {"table_2": "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ; the receivables from brokers dealers and clearing organizations of december 31 , 2015 is 17248 ;", "table_5": "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ; the payables to brokers dealers and clearing organizations of december 31 , 2015 is 18069 ;"}, "exe_ans": 0.9296, "tfidftopn": {"text_10": "payables to brokers , dealers , and clearing organizations 19915 18069 total brokerage payables ( 1 ) $ 57152 $ 53722 ( 1 ) includes brokerage receivables and payables recorded by citi broker- dealer entities that are accounted for in accordance with the aicpa accounting guide for brokers and dealers in securities as codified in asc 940-320. ."}, "program_re": "divide(18513, 19915)", "model_input": [["table_1", "in millions of dollars the receivables from customers of december 31 , 2016 is $ 10374 ; the receivables from customers of december 31 , 2015 is $ 10435 ;"], ["table_2", "in millions of dollars the receivables from brokers dealers and clearing organizations of december 31 , 2016 is 18513 ; the receivables from brokers dealers and clearing organizations of december 31 , 2015 is 17248 ;"], ["table_5", "in millions of dollars the payables to brokers dealers and clearing organizations of december 31 , 2016 is 19915 ; the payables to brokers dealers and clearing organizations of december 31 , 2015 is 18069 ;"]]}, "answers": [".93"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001119", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total value of granted options in 2007 , in millions?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "153.8.", "rejected": "71.4.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ILMN || what is the total value of granted options <TIME> , in millions?", "doc_prefix": "ILMN", "base_question": "what is the total value of granted options <TIME> , in millions?", "original_question": "what is the total value of granted options in 2007 , in millions?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"71.4": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "153.8": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "ILMN/2007/page_84.pdf-1", "qa": {"question": "what is the total value of granted options in 2007 , in millions?", "answer": "153.8", "explanation": "", "ann_table_rows": [11], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "3784508", "arg2": "40.64", "res": "153802405.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000000", "res": "153.8"}], "program": "multiply(3784508, 40.64), divide(#0, const_1000000)", "gold_inds": {"table_11": "the granted of options is 3784508 ; the granted of weighted- average exercise price is $ 40.64 ;"}, "exe_ans": 153.80241, "tfidftopn": {"table_6": "The granted of options is 2621050 ; The granted of weighted- average exercise price is $ 27.24 ;", "table_2": "The granted of options is 2992300 ; The granted of weighted- average exercise price is $ 10.02 ;"}, "program_re": "divide(multiply(3784508, 40.64), const_1000000)", "model_input": [["table_2", "the granted of options is 2992300 ; the granted of weighted- average exercise price is $ 10.02 ;"], ["table_6", "the granted of options is 2621050 ; the granted of weighted- average exercise price is $ 27.24 ;"], ["table_11", "the granted of options is 3784508 ; the granted of weighted- average exercise price is $ 40.64 ;"]]}, "answers": ["153.8"]}, "rejected_source": {"id": "ILMN/2007/page_84.pdf-2", "qa": {"question": "what is the total value of granted options in 2006 , in millions?", "answer": "71.4", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "2621050", "arg2": "27.24", "res": "71397402"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "71.4"}], "program": "multiply(2621050, 27.24), divide(#0, const_1000000)", "gold_inds": {"table_6": "the granted of options is 2621050 ; the granted of weighted- average exercise price is $ 27.24 ;"}, "exe_ans": 71.3974, "tfidftopn": {"table_5": "The outstanding at january 1 2006 of options is 7325431 ; The outstanding at january 1 2006 of weighted- average exercise price is $ 7.96 ;", "table_2": "The granted of options is 2992300 ; The granted of weighted- average exercise price is $ 10.02 ;"}, "program_re": "divide(multiply(2621050, 27.24), const_1000000)", "model_input": [["table_2", "the granted of options is 2992300 ; the granted of weighted- average exercise price is $ 10.02 ;"], ["table_6", "the granted of options is 2621050 ; the granted of weighted- average exercise price is $ 27.24 ;"], ["table_11", "the granted of options is 3784508 ; the granted of weighted- average exercise price is $ 40.64 ;"]]}, "answers": ["71.4"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001120", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total value of granted options in 2006 , in millions?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "71.4.", "rejected": "153.8.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ILMN || what is the total value of granted options <TIME> , in millions?", "doc_prefix": "ILMN", "base_question": "what is the total value of granted options <TIME> , in millions?", "original_question": "what is the total value of granted options in 2006 , in millions?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"71.4": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "153.8": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "ILMN/2007/page_84.pdf-2", "qa": {"question": "what is the total value of granted options in 2006 , in millions?", "answer": "71.4", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "multiply2-1", "arg1": "2621050", "arg2": "27.24", "res": "71397402"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_1000000", "res": "71.4"}], "program": "multiply(2621050, 27.24), divide(#0, const_1000000)", "gold_inds": {"table_6": "the granted of options is 2621050 ; the granted of weighted- average exercise price is $ 27.24 ;"}, "exe_ans": 71.3974, "tfidftopn": {"table_5": "The outstanding at january 1 2006 of options is 7325431 ; The outstanding at january 1 2006 of weighted- average exercise price is $ 7.96 ;", "table_2": "The granted of options is 2992300 ; The granted of weighted- average exercise price is $ 10.02 ;"}, "program_re": "divide(multiply(2621050, 27.24), const_1000000)", "model_input": [["table_2", "the granted of options is 2992300 ; the granted of weighted- average exercise price is $ 10.02 ;"], ["table_6", "the granted of options is 2621050 ; the granted of weighted- average exercise price is $ 27.24 ;"], ["table_11", "the granted of options is 3784508 ; the granted of weighted- average exercise price is $ 40.64 ;"]]}, "answers": ["71.4"]}, "rejected_source": {"id": "ILMN/2007/page_84.pdf-1", "qa": {"question": "what is the total value of granted options in 2007 , in millions?", "answer": "153.8", "explanation": "", "ann_table_rows": [11], "ann_text_rows": [], "steps": [{"op": "multiply1-1", "arg1": "3784508", "arg2": "40.64", "res": "153802405.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_1000000", "res": "153.8"}], "program": "multiply(3784508, 40.64), divide(#0, const_1000000)", "gold_inds": {"table_11": "the granted of options is 3784508 ; the granted of weighted- average exercise price is $ 40.64 ;"}, "exe_ans": 153.80241, "tfidftopn": {"table_6": "The granted of options is 2621050 ; The granted of weighted- average exercise price is $ 27.24 ;", "table_2": "The granted of options is 2992300 ; The granted of weighted- average exercise price is $ 10.02 ;"}, "program_re": "divide(multiply(3784508, 40.64), const_1000000)", "model_input": [["table_2", "the granted of options is 2992300 ; the granted of weighted- average exercise price is $ 10.02 ;"], ["table_6", "the granted of options is 2621050 ; the granted of weighted- average exercise price is $ 27.24 ;"], ["table_11", "the granted of options is 3784508 ; the granted of weighted- average exercise price is $ 40.64 ;"]]}, "answers": ["153.8"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001121", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the net unrecognized tax benefit in 2012 compare to 2011?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "17.8%.", "rejected": "18.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the percentage change in the net unrecognized tax benefit <TIME> compare to <TIME>?", "doc_prefix": "GS", "base_question": "what is the percentage change in the net unrecognized tax benefit <TIME> compare to <TIME>?", "original_question": "what is the percentage change in the net unrecognized tax benefit in 2012 compare to 2011?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "17.8%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_196.pdf-1", "qa": {"question": "what is the percentage change in the net unrecognized tax benefit in 2012 compare to 2011?", "answer": "17.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1552", "arg2": "1318", "res": "234"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1318", "res": "17.8%"}], "program": "subtract(1552, 1318), divide(#0, 1318)", "gold_inds": {"table_10": "in millions the net unrecognized tax benefit2 of as of december 2012 is $ 1552 ; the net unrecognized tax benefit2 of as of december 2011 is $ 1318 ; the net unrecognized tax benefit2 of as of december 2010 is $ 1109 ;"}, "exe_ans": 0.17754, "tfidftopn": {"text_11": "related deferred income tax asset 1 685 569 972 net unrecognized tax benefit 2 $ 1552 $ 1318 $ 1109 1 .", "text_8": "it is reasonably possible that unrecognized tax benefits could change significantly during the twelve months subsequent to december 2012 due to potential audit settlements , however , at this time it is not possible to estimate any potential change ."}, "program_re": "divide(subtract(1552, 1318), 1318)", "model_input": [["table_1", "in millions the balance beginning of year of as of december 2012 is $ 1887 ; the balance beginning of year of as of december 2011 is $ 2081 ; the balance beginning of year of as of december 2010 is $ 1925 ;"], ["table_8", "in millions the balance end of year of as of december 2012 is $ 2237 ; the balance end of year of as of december 2011 is $ 1887 ; the balance end of year of as of december 2010 is $ 2081 ;"], ["table_10", "in millions the net unrecognized tax benefit2 of as of december 2012 is $ 1552 ; the net unrecognized tax benefit2 of as of december 2011 is $ 1318 ; the net unrecognized tax benefit2 of as of december 2010 is $ 1109 ;"]]}, "answers": ["17.8%"]}, "rejected_source": {"id": "GS/2012/page_196.pdf-2", "qa": {"question": "what is the percentage change in the net unrecognized tax benefit in 2011 compare to 2010?", "answer": "18.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1318", "arg2": "1109", "res": "209"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1109", "res": "18.8%"}], "program": "subtract(1318, 1109), divide(#0, 1109)", "gold_inds": {"table_10": "in millions the net unrecognized tax benefit2 of as of december 2012 is $ 1552 ; the net unrecognized tax benefit2 of as of december 2011 is $ 1318 ; the net unrecognized tax benefit2 of as of december 2010 is $ 1109 ;"}, "exe_ans": 0.18846, "tfidftopn": {"text_11": "related deferred income tax asset 1 685 569 972 net unrecognized tax benefit 2 $ 1552 $ 1318 $ 1109 1 .", "text_14": "if recognized , the net tax benefit would reduce the firm 2019s effective income tax rate ."}, "program_re": "divide(subtract(1318, 1109), 1109)", "model_input": [["table_1", "in millions the balance beginning of year of as of december 2012 is $ 1887 ; the balance beginning of year of as of december 2011 is $ 2081 ; the balance beginning of year of as of december 2010 is $ 1925 ;"], ["table_8", "in millions the balance end of year of as of december 2012 is $ 2237 ; the balance end of year of as of december 2011 is $ 1887 ; the balance end of year of as of december 2010 is $ 2081 ;"], ["table_10", "in millions the net unrecognized tax benefit2 of as of december 2012 is $ 1552 ; the net unrecognized tax benefit2 of as of december 2011 is $ 1318 ; the net unrecognized tax benefit2 of as of december 2010 is $ 1109 ;"]]}, "answers": ["18.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001122", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the net unrecognized tax benefit in 2011 compare to 2010?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "18.8%.", "rejected": "17.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the percentage change in the net unrecognized tax benefit <TIME> compare to <TIME>?", "doc_prefix": "GS", "base_question": "what is the percentage change in the net unrecognized tax benefit <TIME> compare to <TIME>?", "original_question": "what is the percentage change in the net unrecognized tax benefit in 2011 compare to 2010?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18.8%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "17.8%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "GS/2012/page_196.pdf-2", "qa": {"question": "what is the percentage change in the net unrecognized tax benefit in 2011 compare to 2010?", "answer": "18.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1318", "arg2": "1109", "res": "209"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1109", "res": "18.8%"}], "program": "subtract(1318, 1109), divide(#0, 1109)", "gold_inds": {"table_10": "in millions the net unrecognized tax benefit2 of as of december 2012 is $ 1552 ; the net unrecognized tax benefit2 of as of december 2011 is $ 1318 ; the net unrecognized tax benefit2 of as of december 2010 is $ 1109 ;"}, "exe_ans": 0.18846, "tfidftopn": {"text_11": "related deferred income tax asset 1 685 569 972 net unrecognized tax benefit 2 $ 1552 $ 1318 $ 1109 1 .", "text_14": "if recognized , the net tax benefit would reduce the firm 2019s effective income tax rate ."}, "program_re": "divide(subtract(1318, 1109), 1109)", "model_input": [["table_1", "in millions the balance beginning of year of as of december 2012 is $ 1887 ; the balance beginning of year of as of december 2011 is $ 2081 ; the balance beginning of year of as of december 2010 is $ 1925 ;"], ["table_8", "in millions the balance end of year of as of december 2012 is $ 2237 ; the balance end of year of as of december 2011 is $ 1887 ; the balance end of year of as of december 2010 is $ 2081 ;"], ["table_10", "in millions the net unrecognized tax benefit2 of as of december 2012 is $ 1552 ; the net unrecognized tax benefit2 of as of december 2011 is $ 1318 ; the net unrecognized tax benefit2 of as of december 2010 is $ 1109 ;"]]}, "answers": ["18.8%"]}, "rejected_source": {"id": "GS/2012/page_196.pdf-1", "qa": {"question": "what is the percentage change in the net unrecognized tax benefit in 2012 compare to 2011?", "answer": "17.8%", "explanation": "", "ann_table_rows": [10], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1552", "arg2": "1318", "res": "234"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1318", "res": "17.8%"}], "program": "subtract(1552, 1318), divide(#0, 1318)", "gold_inds": {"table_10": "in millions the net unrecognized tax benefit2 of as of december 2012 is $ 1552 ; the net unrecognized tax benefit2 of as of december 2011 is $ 1318 ; the net unrecognized tax benefit2 of as of december 2010 is $ 1109 ;"}, "exe_ans": 0.17754, "tfidftopn": {"text_11": "related deferred income tax asset 1 685 569 972 net unrecognized tax benefit 2 $ 1552 $ 1318 $ 1109 1 .", "text_8": "it is reasonably possible that unrecognized tax benefits could change significantly during the twelve months subsequent to december 2012 due to potential audit settlements , however , at this time it is not possible to estimate any potential change ."}, "program_re": "divide(subtract(1552, 1318), 1318)", "model_input": [["table_1", "in millions the balance beginning of year of as of december 2012 is $ 1887 ; the balance beginning of year of as of december 2011 is $ 2081 ; the balance beginning of year of as of december 2010 is $ 1925 ;"], ["table_8", "in millions the balance end of year of as of december 2012 is $ 2237 ; the balance end of year of as of december 2011 is $ 1887 ; the balance end of year of as of december 2010 is $ 2081 ;"], ["table_10", "in millions the net unrecognized tax benefit2 of as of december 2012 is $ 1552 ; the net unrecognized tax benefit2 of as of december 2011 is $ 1318 ; the net unrecognized tax benefit2 of as of december 2010 is $ 1109 ;"]]}, "answers": ["17.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001123", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were total costs incurred in 2011 , 2010 and 2009 relating to the development of proved undeveloped reserves , in millions?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "3362.", "rejected": "7680.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MRO || what were total costs incurred <TIME> , <TIME> and <TIME> relating to the development of proved undeveloped reserves , in millions?", "doc_prefix": "MRO", "base_question": "what were total costs incurred <TIME> , <TIME> and <TIME> relating to the development of proved undeveloped reserves , in millions?", "original_question": "what were total costs incurred in 2011 , 2010 and 2009 relating to the development of proved undeveloped reserves , in millions?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3362": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "7680": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "MRO/2011/page_21.pdf-1", "qa": {"question": "what were total costs incurred in 2011 , 2010 and 2009 relating to the development of proved undeveloped reserves , in millions?", "answer": "3362", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "1107", "arg2": "1463", "res": "2570"}, {"op": "add1-2", "arg1": "#0", "arg2": "792", "res": "3362"}], "program": "add(1107, 1463), add(#0, 792)", "gold_inds": {"text_25": "costs incurred in 2011 , 2010 and 2009 relating to the development of proved undeveloped reserves , were $ 1107 million , $ 1463 million and $ 792 million ."}, "exe_ans": 3362.0, "tfidftopn": {"text_22": "the following table shows changes in total proved undeveloped reserves for 2011: .", "text_21": "changes in proved undeveloped reserves as of december 31 , 2011 , 395 mmboe of proved undeveloped reserves were reported , a decrease of 10 mmboe from december 31 , 2010 ."}, "program_re": "add(add(1107, 1463), 792)", "model_input": [["text_22", "the following table shows changes in total proved undeveloped reserves for 2011: ."], ["table_6", "beginning of year the end of year of 405 is 395 ;"], ["text_25", "costs incurred in 2011 , 2010 and 2009 relating to the development of proved undeveloped reserves , were $ 1107 million , $ 1463 million and $ 792 million ."]]}, "answers": ["3362"]}, "rejected_source": {"id": "MRO/2014/page_22.pdf-1", "qa": {"question": "what were total costs incurred in 2014 , 2013 and 2012 relating to the development of proved undeveloped reserves , in millions?", "answer": "7680", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "3149", "arg2": "2536", "res": "5685"}, {"op": "add1-2", "arg1": "#0", "arg2": "1995", "res": "7680"}], "program": "add(3149, 2536), add(#0, 1995)", "gold_inds": {"text_15": "costs incurred in 2014 , 2013 and 2012 relating to the development of proved undeveloped reserves , were $ 3149 million , $ 2536 million and $ 1995 million ."}, "exe_ans": 7680.0, "tfidftopn": {"text_12": "the following table shows changes in total proved undeveloped reserves for 2014 : ( mmboe ) .", "text_0": "during 2014 , 2013 and 2012 , netherland , sewell & associates , inc ."}, "program_re": "add(add(3149, 2536), 1995)", "model_input": [["table_7", "beginning of year the end of year of 627 is 728 ;"], ["text_15", "costs incurred in 2014 , 2013 and 2012 relating to the development of proved undeveloped reserves , were $ 3149 million , $ 2536 million and $ 1995 million ."], ["text_33", "as of december 31 , 2014 , future development costs estimated to be required for the development of proved undeveloped crude oil and condensate , ngls , natural gas and synthetic crude oil reserves related to continuing operations for the years 2015 through 2019 are projected to be $ 2915 million , $ 2598 million , $ 2493 million , $ 2669 million and $ 2745 million. ."]]}, "answers": ["7680"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001124", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what were total costs incurred in 2014 , 2013 and 2012 relating to the development of proved undeveloped reserves , in millions?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "7680.", "rejected": "3362.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MRO || what were total costs incurred <TIME> , <TIME> and <TIME> relating to the development of proved undeveloped reserves , in millions?", "doc_prefix": "MRO", "base_question": "what were total costs incurred <TIME> , <TIME> and <TIME> relating to the development of proved undeveloped reserves , in millions?", "original_question": "what were total costs incurred in 2014 , 2013 and 2012 relating to the development of proved undeveloped reserves , in millions?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3362": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "7680": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "MRO/2014/page_22.pdf-1", "qa": {"question": "what were total costs incurred in 2014 , 2013 and 2012 relating to the development of proved undeveloped reserves , in millions?", "answer": "7680", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "3149", "arg2": "2536", "res": "5685"}, {"op": "add1-2", "arg1": "#0", "arg2": "1995", "res": "7680"}], "program": "add(3149, 2536), add(#0, 1995)", "gold_inds": {"text_15": "costs incurred in 2014 , 2013 and 2012 relating to the development of proved undeveloped reserves , were $ 3149 million , $ 2536 million and $ 1995 million ."}, "exe_ans": 7680.0, "tfidftopn": {"text_12": "the following table shows changes in total proved undeveloped reserves for 2014 : ( mmboe ) .", "text_0": "during 2014 , 2013 and 2012 , netherland , sewell & associates , inc ."}, "program_re": "add(add(3149, 2536), 1995)", "model_input": [["table_7", "beginning of year the end of year of 627 is 728 ;"], ["text_15", "costs incurred in 2014 , 2013 and 2012 relating to the development of proved undeveloped reserves , were $ 3149 million , $ 2536 million and $ 1995 million ."], ["text_33", "as of december 31 , 2014 , future development costs estimated to be required for the development of proved undeveloped crude oil and condensate , ngls , natural gas and synthetic crude oil reserves related to continuing operations for the years 2015 through 2019 are projected to be $ 2915 million , $ 2598 million , $ 2493 million , $ 2669 million and $ 2745 million. ."]]}, "answers": ["7680"]}, "rejected_source": {"id": "MRO/2011/page_21.pdf-1", "qa": {"question": "what were total costs incurred in 2011 , 2010 and 2009 relating to the development of proved undeveloped reserves , in millions?", "answer": "3362", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "1107", "arg2": "1463", "res": "2570"}, {"op": "add1-2", "arg1": "#0", "arg2": "792", "res": "3362"}], "program": "add(1107, 1463), add(#0, 792)", "gold_inds": {"text_25": "costs incurred in 2011 , 2010 and 2009 relating to the development of proved undeveloped reserves , were $ 1107 million , $ 1463 million and $ 792 million ."}, "exe_ans": 3362.0, "tfidftopn": {"text_22": "the following table shows changes in total proved undeveloped reserves for 2011: .", "text_21": "changes in proved undeveloped reserves as of december 31 , 2011 , 395 mmboe of proved undeveloped reserves were reported , a decrease of 10 mmboe from december 31 , 2010 ."}, "program_re": "add(add(1107, 1463), 792)", "model_input": [["text_22", "the following table shows changes in total proved undeveloped reserves for 2011: ."], ["table_6", "beginning of year the end of year of 405 is 395 ;"], ["text_25", "costs incurred in 2011 , 2010 and 2009 relating to the development of proved undeveloped reserves , were $ 1107 million , $ 1463 million and $ 792 million ."]]}, "answers": ["3362"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001125", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the difference between the highest and the lowest base salary in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "1024996.", "rejected": "1077793.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the difference between the highest and the lowest base salary <TIME>?", "doc_prefix": "ETR", "base_question": "what is the difference between the highest and the lowest base salary <TIME>?", "original_question": "what is the difference between the highest and the lowest base salary in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1024996": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "1077793": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "ETR/2008/page_435.pdf-1", "qa": {"question": "what is the difference between the highest and the lowest base salary in 2007?", "answer": "1024996", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1230000", "arg2": "205004", "res": "1024996"}], "program": "subtract(1230000, 205004)", "gold_inds": {"table_1": "named executive officer the j . wayne leonard of 2007 base salary is $ 1230000 ; the j . wayne leonard of percentage increase is 5.0% ( 5.0 % ) ; the j . wayne leonard of 2008 base salary is $ 1291500 ;", "table_9": "named executive officer the haley fisackerly of 2007 base salary is $ 205004 ; the haley fisackerly of percentage increase is 32.9% ( 32.9 % ) ; the haley fisackerly of 2008 base salary is $ 275000 ;"}, "exe_ans": 1024996.0, "tfidftopn": {"text_8": "named executive officer 2007 base salary percentage increase 2008 base salary ."}, "program_re": "subtract(1230000, 205004)", "model_input": [["table_1", "named executive officer the j . wayne leonard of 2007 base salary is $ 1230000 ; the j . wayne leonard of percentage increase is 5.0% ( 5.0 % ) ; the j . wayne leonard of 2008 base salary is $ 1291500 ;"], ["table_8", "named executive officer the theodore h . bunting jr . of 2007 base salary is $ 325000 ; the theodore h . bunting jr . of percentage increase is 5.2% ( 5.2 % ) ; the theodore h . bunting jr . of 2008 base salary is $ 341900 ;"], ["table_9", "named executive officer the haley fisackerly of 2007 base salary is $ 205004 ; the haley fisackerly of percentage increase is 32.9% ( 32.9 % ) ; the haley fisackerly of 2008 base salary is $ 275000 ;"]]}, "answers": ["1024996"]}, "rejected_source": {"id": "ETR/2008/page_435.pdf-2", "qa": {"question": "what is the difference between the highest and the lowest base salary in 2008?", "answer": "1077793", "explanation": "", "ann_table_rows": [1, 11], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1291500", "arg2": "213707", "res": "1077793"}], "program": "subtract(1291500, 213707)", "gold_inds": {"table_1": "named executive officer the j . wayne leonard of 2007 base salary is $ 1230000 ; the j . wayne leonard of percentage increase is 5.0% ( 5.0 % ) ; the j . wayne leonard of 2008 base salary is $ 1291500 ;", "table_11": "named executive officer the jay a . lewis of 2007 base salary is $ 207000 ; the jay a . lewis of percentage increase is 3.24% ( 3.24 % ) ; the jay a . lewis of 2008 base salary is $ 213707 ;"}, "exe_ans": 1077793.0, "tfidftopn": {"text_8": "named executive officer 2007 base salary percentage increase 2008 base salary ."}, "program_re": "subtract(1291500, 213707)", "model_input": [["table_1", "named executive officer the j . wayne leonard of 2007 base salary is $ 1230000 ; the j . wayne leonard of percentage increase is 5.0% ( 5.0 % ) ; the j . wayne leonard of 2008 base salary is $ 1291500 ;"], ["table_9", "named executive officer the haley fisackerly of 2007 base salary is $ 205004 ; the haley fisackerly of percentage increase is 32.9% ( 32.9 % ) ; the haley fisackerly of 2008 base salary is $ 275000 ;"], ["table_11", "named executive officer the jay a . lewis of 2007 base salary is $ 207000 ; the jay a . lewis of percentage increase is 3.24% ( 3.24 % ) ; the jay a . lewis of 2008 base salary is $ 213707 ;"]]}, "answers": ["1077793"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001126", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the difference between the highest and the lowest base salary in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "1077793.", "rejected": "1024996.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what is the difference between the highest and the lowest base salary <TIME>?", "doc_prefix": "ETR", "base_question": "what is the difference between the highest and the lowest base salary <TIME>?", "original_question": "what is the difference between the highest and the lowest base salary in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1024996": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "1077793": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "ETR/2008/page_435.pdf-2", "qa": {"question": "what is the difference between the highest and the lowest base salary in 2008?", "answer": "1077793", "explanation": "", "ann_table_rows": [1, 11], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1291500", "arg2": "213707", "res": "1077793"}], "program": "subtract(1291500, 213707)", "gold_inds": {"table_1": "named executive officer the j . wayne leonard of 2007 base salary is $ 1230000 ; the j . wayne leonard of percentage increase is 5.0% ( 5.0 % ) ; the j . wayne leonard of 2008 base salary is $ 1291500 ;", "table_11": "named executive officer the jay a . lewis of 2007 base salary is $ 207000 ; the jay a . lewis of percentage increase is 3.24% ( 3.24 % ) ; the jay a . lewis of 2008 base salary is $ 213707 ;"}, "exe_ans": 1077793.0, "tfidftopn": {"text_8": "named executive officer 2007 base salary percentage increase 2008 base salary ."}, "program_re": "subtract(1291500, 213707)", "model_input": [["table_1", "named executive officer the j . wayne leonard of 2007 base salary is $ 1230000 ; the j . wayne leonard of percentage increase is 5.0% ( 5.0 % ) ; the j . wayne leonard of 2008 base salary is $ 1291500 ;"], ["table_9", "named executive officer the haley fisackerly of 2007 base salary is $ 205004 ; the haley fisackerly of percentage increase is 32.9% ( 32.9 % ) ; the haley fisackerly of 2008 base salary is $ 275000 ;"], ["table_11", "named executive officer the jay a . lewis of 2007 base salary is $ 207000 ; the jay a . lewis of percentage increase is 3.24% ( 3.24 % ) ; the jay a . lewis of 2008 base salary is $ 213707 ;"]]}, "answers": ["1077793"]}, "rejected_source": {"id": "ETR/2008/page_435.pdf-1", "qa": {"question": "what is the difference between the highest and the lowest base salary in 2007?", "answer": "1024996", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1230000", "arg2": "205004", "res": "1024996"}], "program": "subtract(1230000, 205004)", "gold_inds": {"table_1": "named executive officer the j . wayne leonard of 2007 base salary is $ 1230000 ; the j . wayne leonard of percentage increase is 5.0% ( 5.0 % ) ; the j . wayne leonard of 2008 base salary is $ 1291500 ;", "table_9": "named executive officer the haley fisackerly of 2007 base salary is $ 205004 ; the haley fisackerly of percentage increase is 32.9% ( 32.9 % ) ; the haley fisackerly of 2008 base salary is $ 275000 ;"}, "exe_ans": 1024996.0, "tfidftopn": {"text_8": "named executive officer 2007 base salary percentage increase 2008 base salary ."}, "program_re": "subtract(1230000, 205004)", "model_input": [["table_1", "named executive officer the j . wayne leonard of 2007 base salary is $ 1230000 ; the j . wayne leonard of percentage increase is 5.0% ( 5.0 % ) ; the j . wayne leonard of 2008 base salary is $ 1291500 ;"], ["table_8", "named executive officer the theodore h . bunting jr . of 2007 base salary is $ 325000 ; the theodore h . bunting jr . of percentage increase is 5.2% ( 5.2 % ) ; the theodore h . bunting jr . of 2008 base salary is $ 341900 ;"], ["table_9", "named executive officer the haley fisackerly of 2007 base salary is $ 205004 ; the haley fisackerly of percentage increase is 32.9% ( 32.9 % ) ; the haley fisackerly of 2008 base salary is $ 275000 ;"]]}, "answers": ["1024996"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001127", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total goodwill carrying value from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "0%.", "rejected": "5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IPG || what was the percentage change in total goodwill carrying value <TIME>?", "doc_prefix": "IPG", "base_question": "what was the percentage change in total goodwill carrying value <TIME>?", "original_question": "what was the percentage change in total goodwill carrying value from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "0%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "IPG/2008/page_68.pdf-2", "qa": {"question": "what was the percentage change in total goodwill carrying value from 2007 to 2008?", "answer": "0%", "explanation": "", "ann_table_rows": [6, 11], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3220.9", "arg2": "3231.6", "res": "-10.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3231.6", "res": "0%"}], "program": "subtract(3220.9, 3231.6), divide(#0, 3231.6)", "gold_inds": {"table_6": "the balance as of december 31 2007 of ian is 2789.7 ; the balance as of december 31 2007 of cmg is 441.9 ; the balance as of december 31 2007 of total is 3231.6 ;", "table_11": "the balance as of december 31 2008 of ian is $ 2790.0 ; the balance as of december 31 2008 of cmg is $ 430.9 ; the balance as of december 31 2008 of total is $ 3220.9 ;"}, "exe_ans": -0.00331, "tfidftopn": {"text_4": "the changes in the carrying value of goodwill by segment for the years ended december 31 , 2008 and 2007 are as follows: ."}, "program_re": "divide(subtract(3220.9, 3231.6), 3231.6)", "model_input": [["table_1", "the balance as of december 31 2006 of ian is $ 2632.5 ; the balance as of december 31 2006 of cmg is $ 435.3 ; the balance as of december 31 2006 of total is $ 3067.8 ;"], ["table_6", "the balance as of december 31 2007 of ian is 2789.7 ; the balance as of december 31 2007 of cmg is 441.9 ; the balance as of december 31 2007 of total is 3231.6 ;"], ["table_11", "the balance as of december 31 2008 of ian is $ 2790.0 ; the balance as of december 31 2008 of cmg is $ 430.9 ; the balance as of december 31 2008 of total is $ 3220.9 ;"]]}, "answers": ["0%"]}, "rejected_source": {"id": "IPG/2008/page_68.pdf-1", "qa": {"question": "what was the percentage change in total goodwill carrying value from 2006 to 2007?", "answer": "5%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "3231.6", "arg2": "3067.8", "res": "163.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3067.8", "res": "5%"}], "program": "subtract(3231.6, 3067.8), divide(#0, 3067.8)", "gold_inds": {"table_1": "the balance as of december 31 2006 of ian is $ 2632.5 ; the balance as of december 31 2006 of cmg is $ 435.3 ; the balance as of december 31 2006 of total is $ 3067.8 ;", "table_6": "the balance as of december 31 2007 of ian is 2789.7 ; the balance as of december 31 2007 of cmg is 441.9 ; the balance as of december 31 2007 of total is 3231.6 ;"}, "exe_ans": 0.05339, "tfidftopn": {"text_4": "the changes in the carrying value of goodwill by segment for the years ended december 31 , 2008 and 2007 are as follows: ."}, "program_re": "divide(subtract(3231.6, 3067.8), 3067.8)", "model_input": [["table_1", "the balance as of december 31 2006 of ian is $ 2632.5 ; the balance as of december 31 2006 of cmg is $ 435.3 ; the balance as of december 31 2006 of total is $ 3067.8 ;"], ["table_6", "the balance as of december 31 2007 of ian is 2789.7 ; the balance as of december 31 2007 of cmg is 441.9 ; the balance as of december 31 2007 of total is 3231.6 ;"], ["table_11", "the balance as of december 31 2008 of ian is $ 2790.0 ; the balance as of december 31 2008 of cmg is $ 430.9 ; the balance as of december 31 2008 of total is $ 3220.9 ;"]]}, "answers": ["5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001128", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total goodwill carrying value from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "5%.", "rejected": "0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IPG || what was the percentage change in total goodwill carrying value <TIME>?", "doc_prefix": "IPG", "base_question": "what was the percentage change in total goodwill carrying value <TIME>?", "original_question": "what was the percentage change in total goodwill carrying value from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "0%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "IPG/2008/page_68.pdf-1", "qa": {"question": "what was the percentage change in total goodwill carrying value from 2006 to 2007?", "answer": "5%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "3231.6", "arg2": "3067.8", "res": "163.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3067.8", "res": "5%"}], "program": "subtract(3231.6, 3067.8), divide(#0, 3067.8)", "gold_inds": {"table_1": "the balance as of december 31 2006 of ian is $ 2632.5 ; the balance as of december 31 2006 of cmg is $ 435.3 ; the balance as of december 31 2006 of total is $ 3067.8 ;", "table_6": "the balance as of december 31 2007 of ian is 2789.7 ; the balance as of december 31 2007 of cmg is 441.9 ; the balance as of december 31 2007 of total is 3231.6 ;"}, "exe_ans": 0.05339, "tfidftopn": {"text_4": "the changes in the carrying value of goodwill by segment for the years ended december 31 , 2008 and 2007 are as follows: ."}, "program_re": "divide(subtract(3231.6, 3067.8), 3067.8)", "model_input": [["table_1", "the balance as of december 31 2006 of ian is $ 2632.5 ; the balance as of december 31 2006 of cmg is $ 435.3 ; the balance as of december 31 2006 of total is $ 3067.8 ;"], ["table_6", "the balance as of december 31 2007 of ian is 2789.7 ; the balance as of december 31 2007 of cmg is 441.9 ; the balance as of december 31 2007 of total is 3231.6 ;"], ["table_11", "the balance as of december 31 2008 of ian is $ 2790.0 ; the balance as of december 31 2008 of cmg is $ 430.9 ; the balance as of december 31 2008 of total is $ 3220.9 ;"]]}, "answers": ["5%"]}, "rejected_source": {"id": "IPG/2008/page_68.pdf-2", "qa": {"question": "what was the percentage change in total goodwill carrying value from 2007 to 2008?", "answer": "0%", "explanation": "", "ann_table_rows": [6, 11], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3220.9", "arg2": "3231.6", "res": "-10.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3231.6", "res": "0%"}], "program": "subtract(3220.9, 3231.6), divide(#0, 3231.6)", "gold_inds": {"table_6": "the balance as of december 31 2007 of ian is 2789.7 ; the balance as of december 31 2007 of cmg is 441.9 ; the balance as of december 31 2007 of total is 3231.6 ;", "table_11": "the balance as of december 31 2008 of ian is $ 2790.0 ; the balance as of december 31 2008 of cmg is $ 430.9 ; the balance as of december 31 2008 of total is $ 3220.9 ;"}, "exe_ans": -0.00331, "tfidftopn": {"text_4": "the changes in the carrying value of goodwill by segment for the years ended december 31 , 2008 and 2007 are as follows: ."}, "program_re": "divide(subtract(3220.9, 3231.6), 3231.6)", "model_input": [["table_1", "the balance as of december 31 2006 of ian is $ 2632.5 ; the balance as of december 31 2006 of cmg is $ 435.3 ; the balance as of december 31 2006 of total is $ 3067.8 ;"], ["table_6", "the balance as of december 31 2007 of ian is 2789.7 ; the balance as of december 31 2007 of cmg is 441.9 ; the balance as of december 31 2007 of total is 3231.6 ;"], ["table_11", "the balance as of december 31 2008 of ian is $ 2790.0 ; the balance as of december 31 2008 of cmg is $ 430.9 ; the balance as of december 31 2008 of total is $ 3220.9 ;"]]}, "answers": ["0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001129", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total long-term debt reported in the balance sheet as of december 31 , 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "5174.", "rejected": "6400.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HIG || what is the total long-term debt reported in the balance sheet as of december 31 , <TIME>?", "doc_prefix": "HIG", "base_question": "what is the total long-term debt reported in the balance sheet as of december 31 , <TIME>?", "original_question": "what is the total long-term debt reported in the balance sheet as of december 31 , 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6400": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "5174": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "HIG/2016/page_250.pdf-2", "qa": {"question": "what is the total long-term debt reported in the balance sheet as of december 31 , 2016?", "answer": "5174", "explanation": "", "ann_table_rows": [1, 2, 3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "416", "arg2": "320", "res": "736"}, {"op": "add1-2", "arg1": "#0", "arg2": "413", "res": "1149"}, {"op": "add1-3", "arg1": "#1", "arg2": "500", "res": "1649"}, {"op": "add1-4", "arg1": "#2", "arg2": "3525", "res": "5174"}], "program": "add(416, 320), add(#0, 413), add(#1, 500), add(#2, 3525)", "gold_inds": {"table_1": "2017 - current maturities the 2018 of $ 416 is $ 320 ;", "table_2": "2017 - current maturities the 2019 of $ 416 is $ 413 ;", "table_3": "2017 - current maturities the 2020 of $ 416 is $ 500 ;", "table_4": "2017 - current maturities the 2021 of $ 416 is $ 2014 ;", "table_5": "2017 - current maturities the thereafter of $ 416 is $ 3525 ;"}, "exe_ans": 5174.0, "tfidftopn": {}, "program_re": "add(add(add(add(416, 320), 413), 500), 3525)", "model_input": [["table_1", "2017 - current maturities the 2018 of $ 416 is $ 320 ;"], ["table_2", "2017 - current maturities the 2019 of $ 416 is $ 413 ;"], ["table_3", "2017 - current maturities the 2020 of $ 416 is $ 500 ;"], ["table_4", "2017 - current maturities the 2021 of $ 416 is $ 2014 ;"], ["table_5", "2017 - current maturities the thereafter of $ 416 is $ 3525 ;"]]}, "answers": ["5174"]}, "rejected_source": {"id": "HIG/2013/page_212.pdf-1", "qa": {"question": "what is the total long-term debt reported in the balance sheet as of december 31 , 2013?", "answer": "6400", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "200", "arg2": "456", "res": "656"}, {"op": "add1-2", "arg1": "#0", "arg2": "275", "res": "931"}, {"op": "add1-3", "arg1": "#1", "arg2": "711", "res": "1642"}, {"op": "add1-4", "arg1": "#2", "arg2": "320", "res": "1962"}, {"op": "add1-5", "arg1": "#3", "arg2": "4438", "res": "6400"}], "program": "add(200, 456), add(#0, 275), add(#1, 711), add(#2, 320), add(#3, 4438)", "gold_inds": {"table_1": "2014 the 2015 of $ 200 is 456 ;", "table_2": "2014 the 2016 of $ 200 is 275 ;", "table_3": "2014 the 2017 of $ 200 is 711 ;", "table_4": "2014 the 2018 of $ 200 is 320 ;", "table_5": "2014 the thereafter of $ 200 is 4438 ;"}, "exe_ans": 6400.0, "tfidftopn": {}, "program_re": "add(add(add(add(add(200, 456), 275), 711), 320), 4438)", "model_input": [["table_1", "2014 the 2015 of $ 200 is 456 ;"], ["table_2", "2014 the 2016 of $ 200 is 275 ;"], ["table_3", "2014 the 2017 of $ 200 is 711 ;"], ["table_4", "2014 the 2018 of $ 200 is 320 ;"], ["table_5", "2014 the thereafter of $ 200 is 4438 ;"]]}, "answers": ["6400"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001130", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total long-term debt reported in the balance sheet as of december 31 , 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "6400.", "rejected": "5174.", "meta": {"dataset": "finqa", "split": "train", "group_key": "HIG || what is the total long-term debt reported in the balance sheet as of december 31 , <TIME>?", "doc_prefix": "HIG", "base_question": "what is the total long-term debt reported in the balance sheet as of december 31 , <TIME>?", "original_question": "what is the total long-term debt reported in the balance sheet as of december 31 , 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6400": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "5174": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "HIG/2013/page_212.pdf-1", "qa": {"question": "what is the total long-term debt reported in the balance sheet as of december 31 , 2013?", "answer": "6400", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "200", "arg2": "456", "res": "656"}, {"op": "add1-2", "arg1": "#0", "arg2": "275", "res": "931"}, {"op": "add1-3", "arg1": "#1", "arg2": "711", "res": "1642"}, {"op": "add1-4", "arg1": "#2", "arg2": "320", "res": "1962"}, {"op": "add1-5", "arg1": "#3", "arg2": "4438", "res": "6400"}], "program": "add(200, 456), add(#0, 275), add(#1, 711), add(#2, 320), add(#3, 4438)", "gold_inds": {"table_1": "2014 the 2015 of $ 200 is 456 ;", "table_2": "2014 the 2016 of $ 200 is 275 ;", "table_3": "2014 the 2017 of $ 200 is 711 ;", "table_4": "2014 the 2018 of $ 200 is 320 ;", "table_5": "2014 the thereafter of $ 200 is 4438 ;"}, "exe_ans": 6400.0, "tfidftopn": {}, "program_re": "add(add(add(add(add(200, 456), 275), 711), 320), 4438)", "model_input": [["table_1", "2014 the 2015 of $ 200 is 456 ;"], ["table_2", "2014 the 2016 of $ 200 is 275 ;"], ["table_3", "2014 the 2017 of $ 200 is 711 ;"], ["table_4", "2014 the 2018 of $ 200 is 320 ;"], ["table_5", "2014 the thereafter of $ 200 is 4438 ;"]]}, "answers": ["6400"]}, "rejected_source": {"id": "HIG/2016/page_250.pdf-2", "qa": {"question": "what is the total long-term debt reported in the balance sheet as of december 31 , 2016?", "answer": "5174", "explanation": "", "ann_table_rows": [1, 2, 3, 4, 5], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "416", "arg2": "320", "res": "736"}, {"op": "add1-2", "arg1": "#0", "arg2": "413", "res": "1149"}, {"op": "add1-3", "arg1": "#1", "arg2": "500", "res": "1649"}, {"op": "add1-4", "arg1": "#2", "arg2": "3525", "res": "5174"}], "program": "add(416, 320), add(#0, 413), add(#1, 500), add(#2, 3525)", "gold_inds": {"table_1": "2017 - current maturities the 2018 of $ 416 is $ 320 ;", "table_2": "2017 - current maturities the 2019 of $ 416 is $ 413 ;", "table_3": "2017 - current maturities the 2020 of $ 416 is $ 500 ;", "table_4": "2017 - current maturities the 2021 of $ 416 is $ 2014 ;", "table_5": "2017 - current maturities the thereafter of $ 416 is $ 3525 ;"}, "exe_ans": 5174.0, "tfidftopn": {}, "program_re": "add(add(add(add(416, 320), 413), 500), 3525)", "model_input": [["table_1", "2017 - current maturities the 2018 of $ 416 is $ 320 ;"], ["table_2", "2017 - current maturities the 2019 of $ 416 is $ 413 ;"], ["table_3", "2017 - current maturities the 2020 of $ 416 is $ 500 ;"], ["table_4", "2017 - current maturities the 2021 of $ 416 is $ 2014 ;"], ["table_5", "2017 - current maturities the thereafter of $ 416 is $ 3525 ;"]]}, "answers": ["5174"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001131", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in sales from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FTV || what was the percentage change in sales <TIME>?", "doc_prefix": "FTV", "base_question": "what was the percentage change in sales <TIME>?", "original_question": "what was the percentage change in sales from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "7%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "FTV/2017/page_45.pdf-1", "qa": {"question": "what was the percentage change in sales from 2015 to 2016?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6224.3", "arg2": "6178.8", "res": "45.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6178.8", "res": "1%"}], "program": "subtract(6224.3, 6178.8), divide(#0, 6178.8)", "gold_inds": {"table_1": "( $ in millions ) the sales of for the year ended december 31 2017 is $ 6656.0 ; the sales of for the year ended december 31 2016 is $ 6224.3 ; the sales of for the year ended december 31 2015 is $ 6178.8 ;"}, "exe_ans": 0.00736, "tfidftopn": {"text_0": "2022 higher 2017 sales volumes , incremental year-over-year cost savings associated with restructuring and productivity improvement initiatives , costs associated with various growth investments made in 2016 and changes in currency exchange rates , partially offset by incremental year-over-year costs associated with various product development and sales and marketing growth investments : 60 basis points year-over-year operating profit margin comparisons were unfavorably impacted by : 2022 the incremental year-over-year net dilutive effect of acquired businesses : 20 basis points 2016 compared to 2015 year-over-year price increases in the segment contributed 0.3% ( 0.3 % ) to sales growth during 2016 as compared to 2015 and are reflected as a component of the change in sales from existing businesses .", "text_5": "sales from existing businesses in the segment 2019s automation & specialty components business declined at a low-single digit rate during 2016 as compared to 2015 ."}, "program_re": "divide(subtract(6224.3, 6178.8), 6178.8)", "model_input": [["table_1", "( $ in millions ) the sales of for the year ended december 31 2017 is $ 6656.0 ; the sales of for the year ended december 31 2016 is $ 6224.3 ; the sales of for the year ended december 31 2015 is $ 6178.8 ;"], ["table_2", "( $ in millions ) the cost of sales of for the year ended december 31 2017 is -3357.5 ( 3357.5 ) ; the cost of sales of for the year ended december 31 2016 is -3191.5 ( 3191.5 ) ; the cost of sales of for the year ended december 31 2015 is -3178.8 ( 3178.8 ) ;"], ["table_3", "( $ in millions ) the gross profit of for the year ended december 31 2017 is 3298.5 ; the gross profit of for the year ended december 31 2016 is 3032.8 ; the gross profit of for the year ended december 31 2015 is 3000.0 ;"]]}, "answers": ["1%"]}, "rejected_source": {"id": "FTV/2017/page_45.pdf-2", "qa": {"question": "what was the percentage change in sales from 2016 to 2017?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6656.0", "arg2": "6224.3", "res": "431.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6224.3", "res": "7%"}], "program": "subtract(6656.0, 6224.3), divide(#0, 6224.3)", "gold_inds": {"table_1": "( $ in millions ) the sales of for the year ended december 31 2017 is $ 6656.0 ; the sales of for the year ended december 31 2016 is $ 6224.3 ; the sales of for the year ended december 31 2015 is $ 6178.8 ;"}, "exe_ans": 0.06936, "tfidftopn": {"text_0": "2022 higher 2017 sales volumes , incremental year-over-year cost savings associated with restructuring and productivity improvement initiatives , costs associated with various growth investments made in 2016 and changes in currency exchange rates , partially offset by incremental year-over-year costs associated with various product development and sales and marketing growth investments : 60 basis points year-over-year operating profit margin comparisons were unfavorably impacted by : 2022 the incremental year-over-year net dilutive effect of acquired businesses : 20 basis points 2016 compared to 2015 year-over-year price increases in the segment contributed 0.3% ( 0.3 % ) to sales growth during 2016 as compared to 2015 and are reflected as a component of the change in sales from existing businesses .", "text_14": "the year-over-year increase in cost of sales during 2017 as compared to 2016 is due primarily to the impact of higher year- over-year sales volumes and changes in currency exchange rates partly offset by incremental year-over-year cost savings ."}, "program_re": "divide(subtract(6656.0, 6224.3), 6224.3)", "model_input": [["table_1", "( $ in millions ) the sales of for the year ended december 31 2017 is $ 6656.0 ; the sales of for the year ended december 31 2016 is $ 6224.3 ; the sales of for the year ended december 31 2015 is $ 6178.8 ;"], ["table_2", "( $ in millions ) the cost of sales of for the year ended december 31 2017 is -3357.5 ( 3357.5 ) ; the cost of sales of for the year ended december 31 2016 is -3191.5 ( 3191.5 ) ; the cost of sales of for the year ended december 31 2015 is -3178.8 ( 3178.8 ) ;"], ["table_3", "( $ in millions ) the gross profit of for the year ended december 31 2017 is 3298.5 ; the gross profit of for the year ended december 31 2016 is 3032.8 ; the gross profit of for the year ended december 31 2015 is 3000.0 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001132", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in sales from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "7%.", "rejected": "1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FTV || what was the percentage change in sales <TIME>?", "doc_prefix": "FTV", "base_question": "what was the percentage change in sales <TIME>?", "original_question": "what was the percentage change in sales from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "7%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "FTV/2017/page_45.pdf-2", "qa": {"question": "what was the percentage change in sales from 2016 to 2017?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6656.0", "arg2": "6224.3", "res": "431.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6224.3", "res": "7%"}], "program": "subtract(6656.0, 6224.3), divide(#0, 6224.3)", "gold_inds": {"table_1": "( $ in millions ) the sales of for the year ended december 31 2017 is $ 6656.0 ; the sales of for the year ended december 31 2016 is $ 6224.3 ; the sales of for the year ended december 31 2015 is $ 6178.8 ;"}, "exe_ans": 0.06936, "tfidftopn": {"text_0": "2022 higher 2017 sales volumes , incremental year-over-year cost savings associated with restructuring and productivity improvement initiatives , costs associated with various growth investments made in 2016 and changes in currency exchange rates , partially offset by incremental year-over-year costs associated with various product development and sales and marketing growth investments : 60 basis points year-over-year operating profit margin comparisons were unfavorably impacted by : 2022 the incremental year-over-year net dilutive effect of acquired businesses : 20 basis points 2016 compared to 2015 year-over-year price increases in the segment contributed 0.3% ( 0.3 % ) to sales growth during 2016 as compared to 2015 and are reflected as a component of the change in sales from existing businesses .", "text_14": "the year-over-year increase in cost of sales during 2017 as compared to 2016 is due primarily to the impact of higher year- over-year sales volumes and changes in currency exchange rates partly offset by incremental year-over-year cost savings ."}, "program_re": "divide(subtract(6656.0, 6224.3), 6224.3)", "model_input": [["table_1", "( $ in millions ) the sales of for the year ended december 31 2017 is $ 6656.0 ; the sales of for the year ended december 31 2016 is $ 6224.3 ; the sales of for the year ended december 31 2015 is $ 6178.8 ;"], ["table_2", "( $ in millions ) the cost of sales of for the year ended december 31 2017 is -3357.5 ( 3357.5 ) ; the cost of sales of for the year ended december 31 2016 is -3191.5 ( 3191.5 ) ; the cost of sales of for the year ended december 31 2015 is -3178.8 ( 3178.8 ) ;"], ["table_3", "( $ in millions ) the gross profit of for the year ended december 31 2017 is 3298.5 ; the gross profit of for the year ended december 31 2016 is 3032.8 ; the gross profit of for the year ended december 31 2015 is 3000.0 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "FTV/2017/page_45.pdf-1", "qa": {"question": "what was the percentage change in sales from 2015 to 2016?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "6224.3", "arg2": "6178.8", "res": "45.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6178.8", "res": "1%"}], "program": "subtract(6224.3, 6178.8), divide(#0, 6178.8)", "gold_inds": {"table_1": "( $ in millions ) the sales of for the year ended december 31 2017 is $ 6656.0 ; the sales of for the year ended december 31 2016 is $ 6224.3 ; the sales of for the year ended december 31 2015 is $ 6178.8 ;"}, "exe_ans": 0.00736, "tfidftopn": {"text_0": "2022 higher 2017 sales volumes , incremental year-over-year cost savings associated with restructuring and productivity improvement initiatives , costs associated with various growth investments made in 2016 and changes in currency exchange rates , partially offset by incremental year-over-year costs associated with various product development and sales and marketing growth investments : 60 basis points year-over-year operating profit margin comparisons were unfavorably impacted by : 2022 the incremental year-over-year net dilutive effect of acquired businesses : 20 basis points 2016 compared to 2015 year-over-year price increases in the segment contributed 0.3% ( 0.3 % ) to sales growth during 2016 as compared to 2015 and are reflected as a component of the change in sales from existing businesses .", "text_5": "sales from existing businesses in the segment 2019s automation & specialty components business declined at a low-single digit rate during 2016 as compared to 2015 ."}, "program_re": "divide(subtract(6224.3, 6178.8), 6178.8)", "model_input": [["table_1", "( $ in millions ) the sales of for the year ended december 31 2017 is $ 6656.0 ; the sales of for the year ended december 31 2016 is $ 6224.3 ; the sales of for the year ended december 31 2015 is $ 6178.8 ;"], ["table_2", "( $ in millions ) the cost of sales of for the year ended december 31 2017 is -3357.5 ( 3357.5 ) ; the cost of sales of for the year ended december 31 2016 is -3191.5 ( 3191.5 ) ; the cost of sales of for the year ended december 31 2015 is -3178.8 ( 3178.8 ) ;"], ["table_3", "( $ in millions ) the gross profit of for the year ended december 31 2017 is 3298.5 ; the gross profit of for the year ended december 31 2016 is 3032.8 ; the gross profit of for the year ended december 31 2015 is 3000.0 ;"]]}, "answers": ["1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001133", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in 401 ( k ) contributed amounts from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "-35.4%.", "rejected": "979000.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in 401 ( k ) contributed amounts <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in 401 ( k ) contributed amounts <TIME>?", "original_question": "what is the percentage change in 401 ( k ) contributed amounts from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"979000": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "-35.4%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}]}, "chosen_source": {"id": "AMT/2004/page_76.pdf-4", "qa": {"question": "what is the percentage change in 401 ( k ) contributed amounts from 2003 to 2004?", "answer": "-35.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [25], "steps": [{"op": "minus1-1", "arg1": "533000", "arg2": "825000", "res": "-292000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "825000", "res": "-35.4%"}], "program": "subtract(533000, 825000), divide(#0, 825000)", "gold_inds": {"text_25": "the company contributed approximately $ 533000 , $ 825000 and $ 979000 to the plan for the years ended december 31 , 2004 , 2003 and 2002 , respectively ."}, "exe_ans": -0.35394, "tfidftopn": {"text_22": "retirement plan 2014the company has a 401 ( k ) plan covering substantially all employees who meet certain age and employment requirements .", "text_16": "the estimated fair value of each option is calculated using the black-scholes option-pricing model ( in thousands , except per share amounts ) : ."}, "program_re": "divide(subtract(533000, 825000), 825000)", "model_input": [["text_23", "under the plan , the company matching contribution for periods prior to june 30 , 2004 was 35% ( 35 % ) up to a maximum 5% ( 5 % ) of a participant 2019s contributions ."], ["text_25", "the company contributed approximately $ 533000 , $ 825000 and $ 979000 to the plan for the years ended december 31 , 2004 , 2003 and 2002 , respectively ."], ["text_29", "25 , accounting for ."]]}, "answers": ["-35.4%"]}, "rejected_source": {"id": "AMT/2004/page_76.pdf-2", "qa": {"question": "what is the percentage change in 401 ( k ) contributed amounts from 2002 to 2003?", "answer": "979000", "explanation": "", "ann_table_rows": [], "ann_text_rows": [25], "steps": [{"op": "minus2-1", "arg1": "825000", "arg2": "979000", "res": "-154000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "979000", "res": "979000"}], "program": "subtract(825000, 979000), divide(#0, 979000)", "gold_inds": {"text_25": "the company contributed approximately $ 533000 , $ 825000 and $ 979000 to the plan for the years ended december 31 , 2004 , 2003 and 2002 , respectively ."}, "exe_ans": -0.1573, "tfidftopn": {"text_22": "retirement plan 2014the company has a 401 ( k ) plan covering substantially all employees who meet certain age and employment requirements .", "text_16": "the estimated fair value of each option is calculated using the black-scholes option-pricing model ( in thousands , except per share amounts ) : ."}, "program_re": "divide(subtract(825000, 979000), 979000)", "model_input": [["text_0", "american tower corporation and subsidiaries notes to consolidated financial statements 2014 ( continued ) stock-based compensation 2014the company complies with the provisions of sfas no ."], ["text_25", "the company contributed approximately $ 533000 , $ 825000 and $ 979000 to the plan for the years ended december 31 , 2004 , 2003 and 2002 , respectively ."], ["text_29", "25 , accounting for ."]]}, "answers": ["979000"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001134", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in 401 ( k ) contributed amounts from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "979000.", "rejected": "-35.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the percentage change in 401 ( k ) contributed amounts <TIME>?", "doc_prefix": "AMT", "base_question": "what is the percentage change in 401 ( k ) contributed amounts <TIME>?", "original_question": "what is the percentage change in 401 ( k ) contributed amounts from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"979000": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "-35.4%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}]}, "chosen_source": {"id": "AMT/2004/page_76.pdf-2", "qa": {"question": "what is the percentage change in 401 ( k ) contributed amounts from 2002 to 2003?", "answer": "979000", "explanation": "", "ann_table_rows": [], "ann_text_rows": [25], "steps": [{"op": "minus2-1", "arg1": "825000", "arg2": "979000", "res": "-154000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "979000", "res": "979000"}], "program": "subtract(825000, 979000), divide(#0, 979000)", "gold_inds": {"text_25": "the company contributed approximately $ 533000 , $ 825000 and $ 979000 to the plan for the years ended december 31 , 2004 , 2003 and 2002 , respectively ."}, "exe_ans": -0.1573, "tfidftopn": {"text_22": "retirement plan 2014the company has a 401 ( k ) plan covering substantially all employees who meet certain age and employment requirements .", "text_16": "the estimated fair value of each option is calculated using the black-scholes option-pricing model ( in thousands , except per share amounts ) : ."}, "program_re": "divide(subtract(825000, 979000), 979000)", "model_input": [["text_0", "american tower corporation and subsidiaries notes to consolidated financial statements 2014 ( continued ) stock-based compensation 2014the company complies with the provisions of sfas no ."], ["text_25", "the company contributed approximately $ 533000 , $ 825000 and $ 979000 to the plan for the years ended december 31 , 2004 , 2003 and 2002 , respectively ."], ["text_29", "25 , accounting for ."]]}, "answers": ["979000"]}, "rejected_source": {"id": "AMT/2004/page_76.pdf-4", "qa": {"question": "what is the percentage change in 401 ( k ) contributed amounts from 2003 to 2004?", "answer": "-35.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [25], "steps": [{"op": "minus1-1", "arg1": "533000", "arg2": "825000", "res": "-292000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "825000", "res": "-35.4%"}], "program": "subtract(533000, 825000), divide(#0, 825000)", "gold_inds": {"text_25": "the company contributed approximately $ 533000 , $ 825000 and $ 979000 to the plan for the years ended december 31 , 2004 , 2003 and 2002 , respectively ."}, "exe_ans": -0.35394, "tfidftopn": {"text_22": "retirement plan 2014the company has a 401 ( k ) plan covering substantially all employees who meet certain age and employment requirements .", "text_16": "the estimated fair value of each option is calculated using the black-scholes option-pricing model ( in thousands , except per share amounts ) : ."}, "program_re": "divide(subtract(533000, 825000), 825000)", "model_input": [["text_23", "under the plan , the company matching contribution for periods prior to june 30 , 2004 was 35% ( 35 % ) up to a maximum 5% ( 5 % ) of a participant 2019s contributions ."], ["text_25", "the company contributed approximately $ 533000 , $ 825000 and $ 979000 to the plan for the years ended december 31 , 2004 , 2003 and 2002 , respectively ."], ["text_29", "25 , accounting for ."]]}, "answers": ["-35.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001135", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2013 what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "58%.", "rejected": "63%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?", "original_question": "in 2013 what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"63%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "58%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2013/page_64.pdf-1", "qa": {"question": "in 2013 what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?", "answer": "58%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [20], "steps": [{"op": "multiply1-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3435", "res": "58%"}], "program": "multiply(const_2, const_1000), divide(#0, 3435)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;", "text_20": "north american consumer packaging net sales were $ 2.0 billion in 2013 compared with $ 2.0 billion in 2012 and $ 2.5 billion in 2011 ."}, "exe_ans": 0.58224, "tfidftopn": {"text_19": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3435)", "model_input": [["table_1", "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;"], ["table_2", "in millions the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ; the operating profit of 2011 is 163 ;"], ["text_20", "north american consumer packaging net sales were $ 2.0 billion in 2013 compared with $ 2.0 billion in 2012 and $ 2.5 billion in 2011 ."]]}, "answers": ["58%"]}, "rejected_source": {"id": "IP/2013/page_64.pdf-2", "qa": {"question": "in 2012 what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?", "answer": "63%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [20], "steps": [{"op": "multiply2-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3170", "res": "63%"}], "program": "multiply(const_2, const_1000), divide(#0, 3170)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;", "text_20": "north american consumer packaging net sales were $ 2.0 billion in 2013 compared with $ 2.0 billion in 2012 and $ 2.5 billion in 2011 ."}, "exe_ans": 0.63091, "tfidftopn": {"text_19": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3170)", "model_input": [["table_1", "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;"], ["table_2", "in millions the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ; the operating profit of 2011 is 163 ;"], ["text_20", "north american consumer packaging net sales were $ 2.0 billion in 2013 compared with $ 2.0 billion in 2012 and $ 2.5 billion in 2011 ."]]}, "answers": ["63%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001136", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2012 what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "63%.", "rejected": "58%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?", "original_question": "in 2012 what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"63%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "58%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2013/page_64.pdf-2", "qa": {"question": "in 2012 what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?", "answer": "63%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [20], "steps": [{"op": "multiply2-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide2-2", "arg1": "#0", "arg2": "3170", "res": "63%"}], "program": "multiply(const_2, const_1000), divide(#0, 3170)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;", "text_20": "north american consumer packaging net sales were $ 2.0 billion in 2013 compared with $ 2.0 billion in 2012 and $ 2.5 billion in 2011 ."}, "exe_ans": 0.63091, "tfidftopn": {"text_19": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3170)", "model_input": [["table_1", "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;"], ["table_2", "in millions the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ; the operating profit of 2011 is 163 ;"], ["text_20", "north american consumer packaging net sales were $ 2.0 billion in 2013 compared with $ 2.0 billion in 2012 and $ 2.5 billion in 2011 ."]]}, "answers": ["63%"]}, "rejected_source": {"id": "IP/2013/page_64.pdf-1", "qa": {"question": "in 2013 what percentage of consumer packaging sales is attributable to north american consumer packaging net sales?", "answer": "58%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [20], "steps": [{"op": "multiply1-1", "arg1": "const_2", "arg2": "const_1000", "res": "2000"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3435", "res": "58%"}], "program": "multiply(const_2, const_1000), divide(#0, 3435)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;", "text_20": "north american consumer packaging net sales were $ 2.0 billion in 2013 compared with $ 2.0 billion in 2012 and $ 2.5 billion in 2011 ."}, "exe_ans": 0.58224, "tfidftopn": {"text_19": "consumer packaging ."}, "program_re": "divide(multiply(const_2, const_1000), 3435)", "model_input": [["table_1", "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;"], ["table_2", "in millions the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ; the operating profit of 2011 is 163 ;"], ["text_20", "north american consumer packaging net sales were $ 2.0 billion in 2013 compared with $ 2.0 billion in 2012 and $ 2.5 billion in 2011 ."]]}, "answers": ["58%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001137", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of fiscal 2008 total net sales was due to commercial foods?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "34%.", "rejected": "36%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percentage of fiscal <TIME> total net sales was due to commercial foods?", "doc_prefix": "CAG", "base_question": "what percentage of fiscal <TIME> total net sales was due to commercial foods?", "original_question": "what percentage of fiscal 2008 total net sales was due to commercial foods?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"34%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "36%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "CAG/2010/page_42.pdf-1", "qa": {"question": "what percentage of fiscal 2008 total net sales was due to commercial foods?", "answer": "34%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3848", "arg2": "11248", "res": "34%"}], "program": "divide(3848, 11248)", "gold_inds": {"table_2": "reporting segment the commercial foods of fiscal 2009 net sales is 4447 ; the commercial foods of fiscal 2008 net sales is 3848 ; the commercial foods of % ( % ) increase is 16% ( 16 % ) ;", "table_3": "reporting segment the total of fiscal 2009 net sales is $ 12426 ; the total of fiscal 2008 net sales is $ 11248 ; the total of % ( % ) increase is 11% ( 11 % ) ;"}, "exe_ans": 0.34211, "tfidftopn": {"text_17": "2008 net sales ( $ in millions ) reporting segment fiscal 2009 net sales fiscal 2008 net sales % (  % ) increase ."}, "program_re": "divide(3848, 11248)", "model_input": [["table_2", "reporting segment the commercial foods of fiscal 2009 net sales is 4447 ; the commercial foods of fiscal 2008 net sales is 3848 ; the commercial foods of % ( % ) increase is 16% ( 16 % ) ;"], ["table_3", "reporting segment the total of fiscal 2009 net sales is $ 12426 ; the total of fiscal 2008 net sales is $ 11248 ; the total of % ( % ) increase is 11% ( 11 % ) ;"], ["text_23", "dollar relative to foreign currencies resulted in a reduction of net sales of approximately 1% ( 1 % ) as compared to fiscal 2008. ."]]}, "answers": ["34%"]}, "rejected_source": {"id": "CAG/2010/page_42.pdf-2", "qa": {"question": "what percentage of fiscal 2009 total net sales was due to commercial foods?", "answer": "36%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4447", "arg2": "12426", "res": "36%"}], "program": "divide(4447, 12426)", "gold_inds": {"table_2": "reporting segment the commercial foods of fiscal 2009 net sales is 4447 ; the commercial foods of fiscal 2008 net sales is 3848 ; the commercial foods of % ( % ) increase is 16% ( 16 % ) ;", "table_3": "reporting segment the total of fiscal 2009 net sales is $ 12426 ; the total of fiscal 2008 net sales is $ 11248 ; the total of % ( % ) increase is 11% ( 11 % ) ;"}, "exe_ans": 0.35788, "tfidftopn": {"table_1": "reporting segment The consumer foods of fiscal 2009 net sales is $ 7979 ; The consumer foods of fiscal 2008 net sales is $ 7400 ; The consumer foods of % ( % ) increase is 8% ( 8 % ) ;"}, "program_re": "divide(4447, 12426)", "model_input": [["table_2", "reporting segment the commercial foods of fiscal 2009 net sales is 4447 ; the commercial foods of fiscal 2008 net sales is 3848 ; the commercial foods of % ( % ) increase is 16% ( 16 % ) ;"], ["table_3", "reporting segment the total of fiscal 2009 net sales is $ 12426 ; the total of fiscal 2008 net sales is $ 11248 ; the total of % ( % ) increase is 11% ( 11 % ) ;"], ["text_23", "dollar relative to foreign currencies resulted in a reduction of net sales of approximately 1% ( 1 % ) as compared to fiscal 2008. ."]]}, "answers": ["36%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001138", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of fiscal 2009 total net sales was due to commercial foods?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "36%.", "rejected": "34%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAG || what percentage of fiscal <TIME> total net sales was due to commercial foods?", "doc_prefix": "CAG", "base_question": "what percentage of fiscal <TIME> total net sales was due to commercial foods?", "original_question": "what percentage of fiscal 2009 total net sales was due to commercial foods?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"34%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "36%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "CAG/2010/page_42.pdf-2", "qa": {"question": "what percentage of fiscal 2009 total net sales was due to commercial foods?", "answer": "36%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4447", "arg2": "12426", "res": "36%"}], "program": "divide(4447, 12426)", "gold_inds": {"table_2": "reporting segment the commercial foods of fiscal 2009 net sales is 4447 ; the commercial foods of fiscal 2008 net sales is 3848 ; the commercial foods of % ( % ) increase is 16% ( 16 % ) ;", "table_3": "reporting segment the total of fiscal 2009 net sales is $ 12426 ; the total of fiscal 2008 net sales is $ 11248 ; the total of % ( % ) increase is 11% ( 11 % ) ;"}, "exe_ans": 0.35788, "tfidftopn": {"table_1": "reporting segment The consumer foods of fiscal 2009 net sales is $ 7979 ; The consumer foods of fiscal 2008 net sales is $ 7400 ; The consumer foods of % ( % ) increase is 8% ( 8 % ) ;"}, "program_re": "divide(4447, 12426)", "model_input": [["table_2", "reporting segment the commercial foods of fiscal 2009 net sales is 4447 ; the commercial foods of fiscal 2008 net sales is 3848 ; the commercial foods of % ( % ) increase is 16% ( 16 % ) ;"], ["table_3", "reporting segment the total of fiscal 2009 net sales is $ 12426 ; the total of fiscal 2008 net sales is $ 11248 ; the total of % ( % ) increase is 11% ( 11 % ) ;"], ["text_23", "dollar relative to foreign currencies resulted in a reduction of net sales of approximately 1% ( 1 % ) as compared to fiscal 2008. ."]]}, "answers": ["36%"]}, "rejected_source": {"id": "CAG/2010/page_42.pdf-1", "qa": {"question": "what percentage of fiscal 2008 total net sales was due to commercial foods?", "answer": "34%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3848", "arg2": "11248", "res": "34%"}], "program": "divide(3848, 11248)", "gold_inds": {"table_2": "reporting segment the commercial foods of fiscal 2009 net sales is 4447 ; the commercial foods of fiscal 2008 net sales is 3848 ; the commercial foods of % ( % ) increase is 16% ( 16 % ) ;", "table_3": "reporting segment the total of fiscal 2009 net sales is $ 12426 ; the total of fiscal 2008 net sales is $ 11248 ; the total of % ( % ) increase is 11% ( 11 % ) ;"}, "exe_ans": 0.34211, "tfidftopn": {"text_17": "2008 net sales ( $ in millions ) reporting segment fiscal 2009 net sales fiscal 2008 net sales % (  % ) increase ."}, "program_re": "divide(3848, 11248)", "model_input": [["table_2", "reporting segment the commercial foods of fiscal 2009 net sales is 4447 ; the commercial foods of fiscal 2008 net sales is 3848 ; the commercial foods of % ( % ) increase is 16% ( 16 % ) ;"], ["table_3", "reporting segment the total of fiscal 2009 net sales is $ 12426 ; the total of fiscal 2008 net sales is $ 11248 ; the total of % ( % ) increase is 11% ( 11 % ) ;"], ["text_23", "dollar relative to foreign currencies resulted in a reduction of net sales of approximately 1% ( 1 % ) as compared to fiscal 2008. ."]]}, "answers": ["34%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001139", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the exchange rate pesos to dollar in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "10.89.", "rejected": "11.01.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what is the exchange rate pesos to dollar <TIME>?", "doc_prefix": "GPN", "base_question": "what is the exchange rate pesos to dollar <TIME>?", "original_question": "what is the exchange rate pesos to dollar in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11.01": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "10.89": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "GPN/2008/page_95.pdf-1", "qa": {"question": "what is the exchange rate pesos to dollar in 2008?", "answer": "10.89", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "multiply1-1", "arg1": "6.1", "arg2": "const_1000", "res": "6100"}, {"op": "divide1-2", "arg1": "#0", "arg2": "560.3", "res": "10.89"}], "program": "multiply(6.1, const_1000), divide(#0, 560.3)", "gold_inds": {"text_3": "we purchased 6.1 billion mexican pesos for $ 560.3 million during the ten months ended march 31 , 2008 and 8.1 billion mexican pesos for $ 736.0 million during fiscal 2007 from cisa ."}, "exe_ans": 10.88702, "tfidftopn": {"text_4": "we believe these currency transactions were executed at prevailing market exchange rates .", "text_1": "as of march 31 , 2008 , mr ."}, "program_re": "divide(multiply(6.1, const_1000), 560.3)", "model_input": [["text_3", "we purchased 6.1 billion mexican pesos for $ 560.3 million during the ten months ended march 31 , 2008 and 8.1 billion mexican pesos for $ 736.0 million during fiscal 2007 from cisa ."], ["text_13", "in addition , we expensed amounts paid to this firm of $ 0.3 million , $ 0.1 million and $ 0.5 million in the years ended may 31 , 2008 , 2007 and 2006 , respectively ."], ["text_17", "future minimum lease payments for all noncancelable leases at may 31 , 2008 were as follows : operating leases ."]]}, "answers": ["10.89"]}, "rejected_source": {"id": "GPN/2008/page_95.pdf-3", "qa": {"question": "what is the exchange rate pesos to dollar in 2007?", "answer": "11.01", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus2-1", "arg1": "8.1", "arg2": "const_1000", "res": "8100"}, {"op": "divide2-2", "arg1": "#0", "arg2": "736.0", "res": "11.01"}], "program": "subtract(8.1, const_1000), divide(#0, 736.0)", "gold_inds": {"text_3": "we purchased 6.1 billion mexican pesos for $ 560.3 million during the ten months ended march 31 , 2008 and 8.1 billion mexican pesos for $ 736.0 million during fiscal 2007 from cisa ."}, "exe_ans": -1.34769, "tfidftopn": {"text_4": "we believe these currency transactions were executed at prevailing market exchange rates .", "text_7": "in fiscal 2007 and 2006 , we incurred related settlement expenses , included in cost of service in the accompanying consolidated statements of income of $ 0.7 and $ 0.6 million , respectively ."}, "program_re": "divide(subtract(8.1, const_1000), 736.0)", "model_input": [["text_3", "we purchased 6.1 billion mexican pesos for $ 560.3 million during the ten months ended march 31 , 2008 and 8.1 billion mexican pesos for $ 736.0 million during fiscal 2007 from cisa ."], ["text_13", "in addition , we expensed amounts paid to this firm of $ 0.3 million , $ 0.1 million and $ 0.5 million in the years ended may 31 , 2008 , 2007 and 2006 , respectively ."], ["text_17", "future minimum lease payments for all noncancelable leases at may 31 , 2008 were as follows : operating leases ."]]}, "answers": ["11.01"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001140", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the exchange rate pesos to dollar in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "11.01.", "rejected": "10.89.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what is the exchange rate pesos to dollar <TIME>?", "doc_prefix": "GPN", "base_question": "what is the exchange rate pesos to dollar <TIME>?", "original_question": "what is the exchange rate pesos to dollar in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11.01": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "10.89": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "GPN/2008/page_95.pdf-3", "qa": {"question": "what is the exchange rate pesos to dollar in 2007?", "answer": "11.01", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "minus2-1", "arg1": "8.1", "arg2": "const_1000", "res": "8100"}, {"op": "divide2-2", "arg1": "#0", "arg2": "736.0", "res": "11.01"}], "program": "subtract(8.1, const_1000), divide(#0, 736.0)", "gold_inds": {"text_3": "we purchased 6.1 billion mexican pesos for $ 560.3 million during the ten months ended march 31 , 2008 and 8.1 billion mexican pesos for $ 736.0 million during fiscal 2007 from cisa ."}, "exe_ans": -1.34769, "tfidftopn": {"text_4": "we believe these currency transactions were executed at prevailing market exchange rates .", "text_7": "in fiscal 2007 and 2006 , we incurred related settlement expenses , included in cost of service in the accompanying consolidated statements of income of $ 0.7 and $ 0.6 million , respectively ."}, "program_re": "divide(subtract(8.1, const_1000), 736.0)", "model_input": [["text_3", "we purchased 6.1 billion mexican pesos for $ 560.3 million during the ten months ended march 31 , 2008 and 8.1 billion mexican pesos for $ 736.0 million during fiscal 2007 from cisa ."], ["text_13", "in addition , we expensed amounts paid to this firm of $ 0.3 million , $ 0.1 million and $ 0.5 million in the years ended may 31 , 2008 , 2007 and 2006 , respectively ."], ["text_17", "future minimum lease payments for all noncancelable leases at may 31 , 2008 were as follows : operating leases ."]]}, "answers": ["11.01"]}, "rejected_source": {"id": "GPN/2008/page_95.pdf-1", "qa": {"question": "what is the exchange rate pesos to dollar in 2008?", "answer": "10.89", "explanation": "", "ann_table_rows": [], "ann_text_rows": [3], "steps": [{"op": "multiply1-1", "arg1": "6.1", "arg2": "const_1000", "res": "6100"}, {"op": "divide1-2", "arg1": "#0", "arg2": "560.3", "res": "10.89"}], "program": "multiply(6.1, const_1000), divide(#0, 560.3)", "gold_inds": {"text_3": "we purchased 6.1 billion mexican pesos for $ 560.3 million during the ten months ended march 31 , 2008 and 8.1 billion mexican pesos for $ 736.0 million during fiscal 2007 from cisa ."}, "exe_ans": 10.88702, "tfidftopn": {"text_4": "we believe these currency transactions were executed at prevailing market exchange rates .", "text_1": "as of march 31 , 2008 , mr ."}, "program_re": "divide(multiply(6.1, const_1000), 560.3)", "model_input": [["text_3", "we purchased 6.1 billion mexican pesos for $ 560.3 million during the ten months ended march 31 , 2008 and 8.1 billion mexican pesos for $ 736.0 million during fiscal 2007 from cisa ."], ["text_13", "in addition , we expensed amounts paid to this firm of $ 0.3 million , $ 0.1 million and $ 0.5 million in the years ended may 31 , 2008 , 2007 and 2006 , respectively ."], ["text_17", "future minimum lease payments for all noncancelable leases at may 31 , 2008 were as follows : operating leases ."]]}, "answers": ["10.89"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001141", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the increase in the operating income from 2010 to 2011\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "10.1%.", "rejected": "91.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AON || what was the percent of the increase in the operating income <TIME>", "doc_prefix": "AON", "base_question": "what was the percent of the increase in the operating income <TIME>", "original_question": "what was the percent of the increase in the operating income from 2010 to 2011", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"10.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "91.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "AON/2011/page_61.pdf-3", "qa": {"question": "what was the percent of the increase in the operating income from 2010 to 2011", "answer": "10.1%", "explanation": "the percent of the increase in the operating income increased by 10.1% from 2010 to 2011", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1314", "arg2": "1194", "res": "120"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1194", "res": "10.1%"}], "program": "subtract(1314, 1194), divide(#0, 1194)", "gold_inds": {"table_2": "years ended december 31 , the operating income of 2011 is 1314 ; the operating income of 2010 is 1194 ; the operating income of 2009 is 900 ;"}, "exe_ans": 0.1005, "tfidftopn": {"table_3": "years ended december 31, The operating margin of 2011 is 19.3% ( 19.3 % ) ; The operating margin of 2010 is 18.6% ( 18.6 % ) ; The operating margin of 2009 is 14.3% ( 14.3 % ) ;", "table_1": "years ended december 31, The revenue of 2011 is $ 6817 ; The revenue of 2010 is $ 6423 ; The revenue of 2009 is $ 6305 ;"}, "program_re": "divide(subtract(1314, 1194), 1194)", "model_input": [["table_2", "years ended december 31 , the operating income of 2011 is 1314 ; the operating income of 2010 is 1194 ; the operating income of 2009 is 900 ;"], ["text_9", "in 2011 , pricing showed signs of stabilization and improvement in both our retail and reinsurance brokerage product lines and we expect this trend to slowly continue into 2012 ."], ["text_11", "weak global economic conditions have reduced our customers 2019 demand for our brokerage products , which have had a negative impact on our operational results ."]]}, "answers": ["10.1%"]}, "rejected_source": {"id": "AON/2011/page_63.pdf-4", "qa": {"question": "what was the percent of the increase in the operating income from 2010 to 2011", "answer": "91.5%", "explanation": "the operating income increased by 91.5% from 2010 to 2011", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "448", "arg2": "234", "res": "214"}, {"op": "divide1-2", "arg1": "#0", "arg2": "234", "res": "91.5%"}], "program": "subtract(448, 234), divide(#0, 234)", "gold_inds": {"table_2": "years ended december 31 , the operating income of 2011 is 448 ; the operating income of 2010 is 234 ; the operating income of 2009 is 203 ;"}, "exe_ans": 0.91453, "tfidftopn": {"text_2": "operating income operating income increased $ 120 million , or 10% ( 10 % ) , from 2010 to $ 1.3 billion in 2011 .", "text_3": "in 2011 , operating income margins in this segment were 19.3% ( 19.3 % ) , up 70 basis points from 18.6% ( 18.6 % ) in 2010 ."}, "program_re": "divide(subtract(448, 234), 234)", "model_input": [["text_2", "operating income operating income increased $ 120 million , or 10% ( 10 % ) , from 2010 to $ 1.3 billion in 2011 ."], ["table_2", "years ended december 31 , the operating income of 2011 is 448 ; the operating income of 2010 is 234 ; the operating income of 2009 is 203 ;"], ["text_11", "effective january 1 , 2012 , this line of business will be included in the results of the risk solutions segment ."]]}, "answers": ["91.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001142", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percent of the increase in the operating income from 2010 to 2011\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "91.5%.", "rejected": "10.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AON || what was the percent of the increase in the operating income <TIME>", "doc_prefix": "AON", "base_question": "what was the percent of the increase in the operating income <TIME>", "original_question": "what was the percent of the increase in the operating income from 2010 to 2011", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"10.1%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "91.5%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "AON/2011/page_63.pdf-4", "qa": {"question": "what was the percent of the increase in the operating income from 2010 to 2011", "answer": "91.5%", "explanation": "the operating income increased by 91.5% from 2010 to 2011", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "448", "arg2": "234", "res": "214"}, {"op": "divide1-2", "arg1": "#0", "arg2": "234", "res": "91.5%"}], "program": "subtract(448, 234), divide(#0, 234)", "gold_inds": {"table_2": "years ended december 31 , the operating income of 2011 is 448 ; the operating income of 2010 is 234 ; the operating income of 2009 is 203 ;"}, "exe_ans": 0.91453, "tfidftopn": {"text_2": "operating income operating income increased $ 120 million , or 10% ( 10 % ) , from 2010 to $ 1.3 billion in 2011 .", "text_3": "in 2011 , operating income margins in this segment were 19.3% ( 19.3 % ) , up 70 basis points from 18.6% ( 18.6 % ) in 2010 ."}, "program_re": "divide(subtract(448, 234), 234)", "model_input": [["text_2", "operating income operating income increased $ 120 million , or 10% ( 10 % ) , from 2010 to $ 1.3 billion in 2011 ."], ["table_2", "years ended december 31 , the operating income of 2011 is 448 ; the operating income of 2010 is 234 ; the operating income of 2009 is 203 ;"], ["text_11", "effective january 1 , 2012 , this line of business will be included in the results of the risk solutions segment ."]]}, "answers": ["91.5%"]}, "rejected_source": {"id": "AON/2011/page_61.pdf-3", "qa": {"question": "what was the percent of the increase in the operating income from 2010 to 2011", "answer": "10.1%", "explanation": "the percent of the increase in the operating income increased by 10.1% from 2010 to 2011", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1314", "arg2": "1194", "res": "120"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1194", "res": "10.1%"}], "program": "subtract(1314, 1194), divide(#0, 1194)", "gold_inds": {"table_2": "years ended december 31 , the operating income of 2011 is 1314 ; the operating income of 2010 is 1194 ; the operating income of 2009 is 900 ;"}, "exe_ans": 0.1005, "tfidftopn": {"table_3": "years ended december 31, The operating margin of 2011 is 19.3% ( 19.3 % ) ; The operating margin of 2010 is 18.6% ( 18.6 % ) ; The operating margin of 2009 is 14.3% ( 14.3 % ) ;", "table_1": "years ended december 31, The revenue of 2011 is $ 6817 ; The revenue of 2010 is $ 6423 ; The revenue of 2009 is $ 6305 ;"}, "program_re": "divide(subtract(1314, 1194), 1194)", "model_input": [["table_2", "years ended december 31 , the operating income of 2011 is 1314 ; the operating income of 2010 is 1194 ; the operating income of 2009 is 900 ;"], ["text_9", "in 2011 , pricing showed signs of stabilization and improvement in both our retail and reinsurance brokerage product lines and we expect this trend to slowly continue into 2012 ."], ["text_11", "weak global economic conditions have reduced our customers 2019 demand for our brokerage products , which have had a negative impact on our operational results ."]]}, "answers": ["10.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001143", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in advertising expense in 2003 relative to 2002?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "-10.1%.", "rejected": "-12.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the growth rate in advertising expense <TIME> relative to <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the growth rate in advertising expense <TIME> relative to <TIME>?", "original_question": "what is the growth rate in advertising expense in 2003 relative to 2002?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-12.5%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "-10.1%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}]}, "chosen_source": {"id": "ADBE/2003/page_111.pdf-1", "qa": {"question": "what is the growth rate in advertising expense in 2003 relative to 2002?", "answer": "-10.1%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus1-1", "arg1": "24.0", "arg2": "26.7", "res": "-2.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "26.7", "res": "-10.1%"}], "program": "subtract(24.0, 26.7), divide(#0, 26.7)", "gold_inds": {"text_20": "advertising expenses for fiscal years 2003 , 2002 , and 2001 were $ 24.0 million , $ 26.7 million and $ 30.5 million , respectively ."}, "exe_ans": -0.10112, "tfidftopn": {"text_19": "advertising expenses we expense all advertising costs as incurred and classify these costs under sales and marketing expense .", "text_18": "the table below summarizes the activity related to the accrual during fiscal 2003 : balance at november 29 , 2002 accruals payments balance at november 28 , 2003 ."}, "program_re": "divide(subtract(24.0, 26.7), 26.7)", "model_input": [["table_1", "balance at november 29 2002 the $ 2014 of accruals is $ 5554 ; the $ 2014 of payments is $ -2369 ( 2369 ) ; the $ 2014 of balance at november 28 2003 is $ 3185 ;"], ["text_19", "advertising expenses we expense all advertising costs as incurred and classify these costs under sales and marketing expense ."], ["text_20", "advertising expenses for fiscal years 2003 , 2002 , and 2001 were $ 24.0 million , $ 26.7 million and $ 30.5 million , respectively ."]]}, "answers": ["-10.1%"]}, "rejected_source": {"id": "ADBE/2003/page_111.pdf-2", "qa": {"question": "what is the growth rate in advertising expense in 2002 relative to 2001?", "answer": "-12.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus2-1", "arg1": "26.7", "arg2": "30.5", "res": "-3.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30.5", "res": "-12.5%"}], "program": "subtract(26.7, 30.5), divide(#0, 30.5)", "gold_inds": {"text_20": "advertising expenses for fiscal years 2003 , 2002 , and 2001 were $ 24.0 million , $ 26.7 million and $ 30.5 million , respectively ."}, "exe_ans": -0.12459, "tfidftopn": {"text_19": "advertising expenses we expense all advertising costs as incurred and classify these costs under sales and marketing expense .", "text_4": "these lease agreements were in place prior to december 31 , 2002 and are disclosed in note 14 ."}, "program_re": "divide(subtract(26.7, 30.5), 30.5)", "model_input": [["text_18", "the table below summarizes the activity related to the accrual during fiscal 2003 : balance at november 29 , 2002 accruals payments balance at november 28 , 2003 ."], ["text_19", "advertising expenses we expense all advertising costs as incurred and classify these costs under sales and marketing expense ."], ["text_20", "advertising expenses for fiscal years 2003 , 2002 , and 2001 were $ 24.0 million , $ 26.7 million and $ 30.5 million , respectively ."]]}, "answers": ["-12.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001144", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in advertising expense in 2002 relative to 2001?\nReference time interval: 2002-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "-12.5%.", "rejected": "-10.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the growth rate in advertising expense <TIME> relative to <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the growth rate in advertising expense <TIME> relative to <TIME>?", "original_question": "what is the growth rate in advertising expense in 2002 relative to 2001?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-12.5%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "-10.1%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}]}, "chosen_source": {"id": "ADBE/2003/page_111.pdf-2", "qa": {"question": "what is the growth rate in advertising expense in 2002 relative to 2001?", "answer": "-12.5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus2-1", "arg1": "26.7", "arg2": "30.5", "res": "-3.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30.5", "res": "-12.5%"}], "program": "subtract(26.7, 30.5), divide(#0, 30.5)", "gold_inds": {"text_20": "advertising expenses for fiscal years 2003 , 2002 , and 2001 were $ 24.0 million , $ 26.7 million and $ 30.5 million , respectively ."}, "exe_ans": -0.12459, "tfidftopn": {"text_19": "advertising expenses we expense all advertising costs as incurred and classify these costs under sales and marketing expense .", "text_4": "these lease agreements were in place prior to december 31 , 2002 and are disclosed in note 14 ."}, "program_re": "divide(subtract(26.7, 30.5), 30.5)", "model_input": [["text_18", "the table below summarizes the activity related to the accrual during fiscal 2003 : balance at november 29 , 2002 accruals payments balance at november 28 , 2003 ."], ["text_19", "advertising expenses we expense all advertising costs as incurred and classify these costs under sales and marketing expense ."], ["text_20", "advertising expenses for fiscal years 2003 , 2002 , and 2001 were $ 24.0 million , $ 26.7 million and $ 30.5 million , respectively ."]]}, "answers": ["-12.5%"]}, "rejected_source": {"id": "ADBE/2003/page_111.pdf-1", "qa": {"question": "what is the growth rate in advertising expense in 2003 relative to 2002?", "answer": "-10.1%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus1-1", "arg1": "24.0", "arg2": "26.7", "res": "-2.7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "26.7", "res": "-10.1%"}], "program": "subtract(24.0, 26.7), divide(#0, 26.7)", "gold_inds": {"text_20": "advertising expenses for fiscal years 2003 , 2002 , and 2001 were $ 24.0 million , $ 26.7 million and $ 30.5 million , respectively ."}, "exe_ans": -0.10112, "tfidftopn": {"text_19": "advertising expenses we expense all advertising costs as incurred and classify these costs under sales and marketing expense .", "text_18": "the table below summarizes the activity related to the accrual during fiscal 2003 : balance at november 29 , 2002 accruals payments balance at november 28 , 2003 ."}, "program_re": "divide(subtract(24.0, 26.7), 26.7)", "model_input": [["table_1", "balance at november 29 2002 the $ 2014 of accruals is $ 5554 ; the $ 2014 of payments is $ -2369 ( 2369 ) ; the $ 2014 of balance at november 28 2003 is $ 3185 ;"], ["text_19", "advertising expenses we expense all advertising costs as incurred and classify these costs under sales and marketing expense ."], ["text_20", "advertising expenses for fiscal years 2003 , 2002 , and 2001 were $ 24.0 million , $ 26.7 million and $ 30.5 million , respectively ."]]}, "answers": ["-10.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001145", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the dollar amount in millions for net reclassifications for the year ended december 31 , 2014 due to the commercial portfolio?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "193.44.", "rejected": "760.35.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PNC || what was the dollar amount in millions for net reclassifications for the year ended december 31 , <TIME> due to the commercial portfolio?", "doc_prefix": "PNC", "base_question": "what was the dollar amount in millions for net reclassifications for the year ended december 31 , <TIME> due to the commercial portfolio?", "original_question": "what was the dollar amount in millions for net reclassifications for the year ended december 31 , 2014 due to the commercial portfolio?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"760.35": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "193.44": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "PNC/2014/page_161.pdf-1", "qa": {"question": "what was the dollar amount in millions for net reclassifications for the year ended december 31 , 2014 due to the commercial portfolio?", "answer": "193.44", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [7], "steps": [{"op": "multiply1-1", "arg1": "208", "arg2": "93%", "res": "193.44"}], "program": "multiply(208, 93%)", "gold_inds": {"table_3": "in millions the net reclassifications to accretable from non-accretable ( a ) of 2014 is 208 ; the net reclassifications to accretable from non-accretable ( a ) of 2013 is 613 ;", "text_7": "the cash flow re-estimation process is completed quarterly to evaluate the appropriateness of the allowance associated with the purchased impaired loans .", "text_9": "( a ) approximately 93% ( 93 % ) of net reclassifications for the year ended december 31 , 2014 were within the commercial portfolio as compared to 37% ( 37 % ) for year ended december 31 , 2013 ."}, "exe_ans": 193.44, "tfidftopn": {}, "program_re": "multiply(208, 93%)", "model_input": [["text_7", "the cash flow re-estimation process is completed quarterly to evaluate the appropriateness of the allowance associated with the purchased impaired loans ."], ["table_3", "in millions the net reclassifications to accretable from non-accretable ( a ) of 2014 is 208 ; the net reclassifications to accretable from non-accretable ( a ) of 2013 is 613 ;"], ["text_9", "( a ) approximately 93% ( 93 % ) of net reclassifications for the year ended december 31 , 2014 were within the commercial portfolio as compared to 37% ( 37 % ) for year ended december 31 , 2013 ."]]}, "answers": ["193.44"]}, "rejected_source": {"id": "PNC/2014/page_161.pdf-2", "qa": {"question": "what was the dollar amount in millions for net reclassifications for the year ended december 31 , 2013 due to the commercial portfolio?", "answer": "760.35", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [7], "steps": [{"op": "multiply2-1", "arg1": "2055", "arg2": "37%", "res": "760.35"}], "program": "multiply(2055, 37%)", "gold_inds": {"table_3": "in millions the net reclassifications to accretable from non-accretable ( a ) of 2014 is 208 ; the net reclassifications to accretable from non-accretable ( a ) of 2013 is 613 ;", "text_7": "the cash flow re-estimation process is completed quarterly to evaluate the appropriateness of the allowance associated with the purchased impaired loans .", "table_5": "in millions the december 31 of 2014 is $ 1558 ; the december 31 of 2013 is $ 2055 ;", "text_9": "( a ) approximately 93% ( 93 % ) of net reclassifications for the year ended december 31 , 2014 were within the commercial portfolio as compared to 37% ( 37 % ) for year ended december 31 , 2013 ."}, "exe_ans": 760.35, "tfidftopn": {}, "program_re": "multiply(2055, 37%)", "model_input": [["text_7", "the cash flow re-estimation process is completed quarterly to evaluate the appropriateness of the allowance associated with the purchased impaired loans ."], ["table_3", "in millions the net reclassifications to accretable from non-accretable ( a ) of 2014 is 208 ; the net reclassifications to accretable from non-accretable ( a ) of 2013 is 613 ;"], ["table_5", "in millions the december 31 of 2014 is $ 1558 ; the december 31 of 2013 is $ 2055 ;"], ["text_9", "( a ) approximately 93% ( 93 % ) of net reclassifications for the year ended december 31 , 2014 were within the commercial portfolio as compared to 37% ( 37 % ) for year ended december 31 , 2013 ."]]}, "answers": ["760.35"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001146", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the dollar amount in millions for net reclassifications for the year ended december 31 , 2013 due to the commercial portfolio?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "760.35.", "rejected": "193.44.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PNC || what was the dollar amount in millions for net reclassifications for the year ended december 31 , <TIME> due to the commercial portfolio?", "doc_prefix": "PNC", "base_question": "what was the dollar amount in millions for net reclassifications for the year ended december 31 , <TIME> due to the commercial portfolio?", "original_question": "what was the dollar amount in millions for net reclassifications for the year ended december 31 , 2013 due to the commercial portfolio?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"760.35": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "193.44": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "PNC/2014/page_161.pdf-2", "qa": {"question": "what was the dollar amount in millions for net reclassifications for the year ended december 31 , 2013 due to the commercial portfolio?", "answer": "760.35", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [7], "steps": [{"op": "multiply2-1", "arg1": "2055", "arg2": "37%", "res": "760.35"}], "program": "multiply(2055, 37%)", "gold_inds": {"table_3": "in millions the net reclassifications to accretable from non-accretable ( a ) of 2014 is 208 ; the net reclassifications to accretable from non-accretable ( a ) of 2013 is 613 ;", "text_7": "the cash flow re-estimation process is completed quarterly to evaluate the appropriateness of the allowance associated with the purchased impaired loans .", "table_5": "in millions the december 31 of 2014 is $ 1558 ; the december 31 of 2013 is $ 2055 ;", "text_9": "( a ) approximately 93% ( 93 % ) of net reclassifications for the year ended december 31 , 2014 were within the commercial portfolio as compared to 37% ( 37 % ) for year ended december 31 , 2013 ."}, "exe_ans": 760.35, "tfidftopn": {}, "program_re": "multiply(2055, 37%)", "model_input": [["text_7", "the cash flow re-estimation process is completed quarterly to evaluate the appropriateness of the allowance associated with the purchased impaired loans ."], ["table_3", "in millions the net reclassifications to accretable from non-accretable ( a ) of 2014 is 208 ; the net reclassifications to accretable from non-accretable ( a ) of 2013 is 613 ;"], ["table_5", "in millions the december 31 of 2014 is $ 1558 ; the december 31 of 2013 is $ 2055 ;"], ["text_9", "( a ) approximately 93% ( 93 % ) of net reclassifications for the year ended december 31 , 2014 were within the commercial portfolio as compared to 37% ( 37 % ) for year ended december 31 , 2013 ."]]}, "answers": ["760.35"]}, "rejected_source": {"id": "PNC/2014/page_161.pdf-1", "qa": {"question": "what was the dollar amount in millions for net reclassifications for the year ended december 31 , 2014 due to the commercial portfolio?", "answer": "193.44", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [7], "steps": [{"op": "multiply1-1", "arg1": "208", "arg2": "93%", "res": "193.44"}], "program": "multiply(208, 93%)", "gold_inds": {"table_3": "in millions the net reclassifications to accretable from non-accretable ( a ) of 2014 is 208 ; the net reclassifications to accretable from non-accretable ( a ) of 2013 is 613 ;", "text_7": "the cash flow re-estimation process is completed quarterly to evaluate the appropriateness of the allowance associated with the purchased impaired loans .", "text_9": "( a ) approximately 93% ( 93 % ) of net reclassifications for the year ended december 31 , 2014 were within the commercial portfolio as compared to 37% ( 37 % ) for year ended december 31 , 2013 ."}, "exe_ans": 193.44, "tfidftopn": {}, "program_re": "multiply(208, 93%)", "model_input": [["text_7", "the cash flow re-estimation process is completed quarterly to evaluate the appropriateness of the allowance associated with the purchased impaired loans ."], ["table_3", "in millions the net reclassifications to accretable from non-accretable ( a ) of 2014 is 208 ; the net reclassifications to accretable from non-accretable ( a ) of 2013 is 613 ;"], ["text_9", "( a ) approximately 93% ( 93 % ) of net reclassifications for the year ended december 31 , 2014 were within the commercial portfolio as compared to 37% ( 37 % ) for year ended december 31 , 2013 ."]]}, "answers": ["193.44"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001147", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of derivative receivables was junk rated in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "18.", "rejected": "19%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percentage of derivative receivables was junk rated <TIME>?", "doc_prefix": "JPM", "base_question": "what percentage of derivative receivables was junk rated <TIME>?", "original_question": "what percentage of derivative receivables was junk rated in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "19%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "JPM/2012/page_148.pdf-1", "qa": {"question": "what percentage of derivative receivables was junk rated in 2012?", "answer": "18", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "16", "arg2": "2", "res": "18"}], "program": "subtract(16, 2)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 9636 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 10545 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 15 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 1283 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 2488 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 4 ;"}, "exe_ans": 14.0, "tfidftopn": {"text_1": "ratings profile of derivative receivables ."}, "program_re": "subtract(16, 2)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 9636 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 10545 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 15 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 1283 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 2488 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 4 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 61325 ; the total of rating equivalent % ( % ) of exposure net of all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 70670 ; the total of % ( % ) of exposure net of all collateral is 100% ( 100 % ) ;"]]}, "answers": ["18"]}, "rejected_source": {"id": "JPM/2012/page_148.pdf-3", "qa": {"question": "what percentage of derivative receivables was junk rated in 2012?", "answer": "19%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "15", "arg2": "4", "res": "19"}], "program": "add(15, 4)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 9636 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 10545 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 15 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 1283 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 2488 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 4 ;"}, "exe_ans": 19.0, "tfidftopn": {"text_1": "ratings profile of derivative receivables ."}, "program_re": "add(15, 4)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 9636 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 10545 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 15 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 1283 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 2488 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 4 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 61325 ; the total of rating equivalent % ( % ) of exposure net of all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 70670 ; the total of % ( % ) of exposure net of all collateral is 100% ( 100 % ) ;"]]}, "answers": ["19%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001148", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of derivative receivables was junk rated in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "19%.", "rejected": "18.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percentage of derivative receivables was junk rated <TIME>?", "doc_prefix": "JPM", "base_question": "what percentage of derivative receivables was junk rated <TIME>?", "original_question": "what percentage of derivative receivables was junk rated in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "19%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "JPM/2012/page_148.pdf-3", "qa": {"question": "what percentage of derivative receivables was junk rated in 2012?", "answer": "19%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "15", "arg2": "4", "res": "19"}], "program": "add(15, 4)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 9636 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 10545 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 15 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 1283 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 2488 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 4 ;"}, "exe_ans": 19.0, "tfidftopn": {"text_1": "ratings profile of derivative receivables ."}, "program_re": "add(15, 4)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 9636 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 10545 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 15 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 1283 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 2488 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 4 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 61325 ; the total of rating equivalent % ( % ) of exposure net of all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 70670 ; the total of % ( % ) of exposure net of all collateral is 100% ( 100 % ) ;"]]}, "answers": ["19%"]}, "rejected_source": {"id": "JPM/2012/page_148.pdf-1", "qa": {"question": "what percentage of derivative receivables was junk rated in 2012?", "answer": "18", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "16", "arg2": "2", "res": "18"}], "program": "subtract(16, 2)", "gold_inds": {"table_4": "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 9636 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 10545 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 15 ;", "table_5": "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 1283 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 2488 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 4 ;"}, "exe_ans": 14.0, "tfidftopn": {"text_1": "ratings profile of derivative receivables ."}, "program_re": "subtract(16, 2)", "model_input": [["table_4", "rating equivalent december 31 ( in millions except ratios ) the bb+/ba1 to b-/b3 of rating equivalent exposure net of all collateral is 9636 ; the bb+/ba1 to b-/b3 of rating equivalent % ( % ) of exposure net of all collateral is 16 ; the bb+/ba1 to b-/b3 of exposure net of all collateral is 10545 ; the bb+/ba1 to b-/b3 of % ( % ) of exposure net of all collateral is 15 ;"], ["table_5", "rating equivalent december 31 ( in millions except ratios ) the ccc+/caa1 and below of rating equivalent exposure net of all collateral is 1283 ; the ccc+/caa1 and below of rating equivalent % ( % ) of exposure net of all collateral is 2 ; the ccc+/caa1 and below of exposure net of all collateral is 2488 ; the ccc+/caa1 and below of % ( % ) of exposure net of all collateral is 4 ;"], ["table_6", "rating equivalent december 31 ( in millions except ratios ) the total of rating equivalent exposure net of all collateral is $ 61325 ; the total of rating equivalent % ( % ) of exposure net of all collateral is 100% ( 100 % ) ; the total of exposure net of all collateral is $ 70670 ; the total of % ( % ) of exposure net of all collateral is 100% ( 100 % ) ;"]]}, "answers": ["18"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001149", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the average volatility used to value employee stock purchase rights in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "27.5%.", "rejected": "44.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the average volatility used to value employee stock purchase rights <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the average volatility used to value employee stock purchase rights <TIME>?", "original_question": "what is the average volatility used to value employee stock purchase rights in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"44.5%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "27.5%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "ADBE/2018/page_88.pdf-1", "qa": {"question": "what is the average volatility used to value employee stock purchase rights in 2018?", "answer": "27.5%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "26%", "arg2": "29%", "res": "55%"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_2", "res": "27.5%"}], "program": "add(26%, 29%), divide(#0, const_2)", "gold_inds": {"table_2": "the volatility of 2018 is 26% ( 26 % ) - 29% ( 29 % ) ; the volatility of 2017 is 22% ( 22 % ) - 27% ( 27 % ) ; the volatility of 2016 is 26 - 29% ( 29 % ) ;"}, "exe_ans": 0.275, "tfidftopn": {"text_23": "the assumptions used to value employee stock purchase rights were as follows: .", "text_22": "the expected term of espp shares is the average of the remaining purchase periods under each offering period ."}, "program_re": "divide(add(26%, 29%), const_2)", "model_input": [["text_23", "the assumptions used to value employee stock purchase rights were as follows: ."], ["table_2", "the volatility of 2018 is 26% ( 26 % ) - 29% ( 29 % ) ; the volatility of 2017 is 22% ( 22 % ) - 27% ( 27 % ) ; the volatility of 2016 is 26 - 29% ( 29 % ) ;"], ["table_3", "the risk free interest rate of 2018 is 1.54% ( 1.54 % ) - 2.52% ( 2.52 % ) ; the risk free interest rate of 2017 is 0.62% ( 0.62 % ) - 1.41% ( 1.41 % ) ; the risk free interest rate of 2016 is 0.37 - 1.06% ( 1.06 % ) ;"]]}, "answers": ["27.5%"]}, "rejected_source": {"id": "ADBE/2018/page_88.pdf-2", "qa": {"question": "what is the average volatility used to value employee stock purchase rights in 2017?", "answer": "44.5%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "22%", "arg2": "27%", "res": "49%"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_2", "res": "44.5%"}], "program": "add(22%, 27%), divide(#0, const_2)", "gold_inds": {"table_2": "the volatility of 2018 is 26% ( 26 % ) - 29% ( 29 % ) ; the volatility of 2017 is 22% ( 22 % ) - 27% ( 27 % ) ; the volatility of 2016 is 26 - 29% ( 29 % ) ;"}, "exe_ans": 0.245, "tfidftopn": {"text_23": "the assumptions used to value employee stock purchase rights were as follows: .", "text_22": "the expected term of espp shares is the average of the remaining purchase periods under each offering period ."}, "program_re": "divide(add(22%, 27%), const_2)", "model_input": [["text_1", "notes to consolidated financial statements ( continued ) stock options the 2003 plan allows us to grant options to all employees , including executive officers , outside consultants and non- employee directors ."], ["text_23", "the assumptions used to value employee stock purchase rights were as follows: ."], ["table_2", "the volatility of 2018 is 26% ( 26 % ) - 29% ( 29 % ) ; the volatility of 2017 is 22% ( 22 % ) - 27% ( 27 % ) ; the volatility of 2016 is 26 - 29% ( 29 % ) ;"]]}, "answers": ["44.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001150", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the average volatility used to value employee stock purchase rights in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "44.5%.", "rejected": "27.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADBE || what is the average volatility used to value employee stock purchase rights <TIME>?", "doc_prefix": "ADBE", "base_question": "what is the average volatility used to value employee stock purchase rights <TIME>?", "original_question": "what is the average volatility used to value employee stock purchase rights in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"44.5%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "27.5%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "ADBE/2018/page_88.pdf-2", "qa": {"question": "what is the average volatility used to value employee stock purchase rights in 2017?", "answer": "44.5%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "22%", "arg2": "27%", "res": "49%"}, {"op": "divide2-2", "arg1": "#0", "arg2": "const_2", "res": "44.5%"}], "program": "add(22%, 27%), divide(#0, const_2)", "gold_inds": {"table_2": "the volatility of 2018 is 26% ( 26 % ) - 29% ( 29 % ) ; the volatility of 2017 is 22% ( 22 % ) - 27% ( 27 % ) ; the volatility of 2016 is 26 - 29% ( 29 % ) ;"}, "exe_ans": 0.245, "tfidftopn": {"text_23": "the assumptions used to value employee stock purchase rights were as follows: .", "text_22": "the expected term of espp shares is the average of the remaining purchase periods under each offering period ."}, "program_re": "divide(add(22%, 27%), const_2)", "model_input": [["text_1", "notes to consolidated financial statements ( continued ) stock options the 2003 plan allows us to grant options to all employees , including executive officers , outside consultants and non- employee directors ."], ["text_23", "the assumptions used to value employee stock purchase rights were as follows: ."], ["table_2", "the volatility of 2018 is 26% ( 26 % ) - 29% ( 29 % ) ; the volatility of 2017 is 22% ( 22 % ) - 27% ( 27 % ) ; the volatility of 2016 is 26 - 29% ( 29 % ) ;"]]}, "answers": ["44.5%"]}, "rejected_source": {"id": "ADBE/2018/page_88.pdf-1", "qa": {"question": "what is the average volatility used to value employee stock purchase rights in 2018?", "answer": "27.5%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "26%", "arg2": "29%", "res": "55%"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_2", "res": "27.5%"}], "program": "add(26%, 29%), divide(#0, const_2)", "gold_inds": {"table_2": "the volatility of 2018 is 26% ( 26 % ) - 29% ( 29 % ) ; the volatility of 2017 is 22% ( 22 % ) - 27% ( 27 % ) ; the volatility of 2016 is 26 - 29% ( 29 % ) ;"}, "exe_ans": 0.275, "tfidftopn": {"text_23": "the assumptions used to value employee stock purchase rights were as follows: .", "text_22": "the expected term of espp shares is the average of the remaining purchase periods under each offering period ."}, "program_re": "divide(add(26%, 29%), const_2)", "model_input": [["text_23", "the assumptions used to value employee stock purchase rights were as follows: ."], ["table_2", "the volatility of 2018 is 26% ( 26 % ) - 29% ( 29 % ) ; the volatility of 2017 is 22% ( 22 % ) - 27% ( 27 % ) ; the volatility of 2016 is 26 - 29% ( 29 % ) ;"], ["table_3", "the risk free interest rate of 2018 is 1.54% ( 1.54 % ) - 2.52% ( 2.52 % ) ; the risk free interest rate of 2017 is 0.62% ( 0.62 % ) - 1.41% ( 1.41 % ) ; the risk free interest rate of 2016 is 0.37 - 1.06% ( 1.06 % ) ;"]]}, "answers": ["27.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001151", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was total rent charged to operating expense in millions for 2013 , 2012 and 2011?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "1173.", "rejected": "802.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what was total rent charged to operating expense in millions <TIME> , <TIME> and <TIME>?", "doc_prefix": "GS", "base_question": "what was total rent charged to operating expense in millions <TIME> , <TIME> and <TIME>?", "original_question": "what was total rent charged to operating expense in millions for 2013 , 2012 and 2011?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1173": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "802": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GS/2013/page_184.pdf-3", "qa": {"question": "what was total rent charged to operating expense in millions for 2013 , 2012 and 2011?", "answer": "1173", "explanation": "", "ann_table_rows": [], "ann_text_rows": [8], "steps": [{"op": "add2-1", "arg1": "324", "arg2": "374", "res": "698"}, {"op": "add2-2", "arg1": "#0", "arg2": "475", "res": "1173"}], "program": "add(324, 374), add(#0, 475)", "gold_inds": {"text_8": "the firm provides financing to clients who warehouse financial assets .", "text_21": "rent charged to operating expense was $ 324 million for 2013 , $ 374 million for 2012 and $ 475 million for 2011 ."}, "exe_ans": 1173.0, "tfidftopn": {"table_7": "in millions The total of as of december 2013 is $ 2695 ;"}, "program_re": "add(add(324, 374), 475)", "model_input": [["text_8", "the firm provides financing to clients who warehouse financial assets ."], ["text_20", "in millions december 2013 ."], ["text_21", "rent charged to operating expense was $ 324 million for 2013 , $ 374 million for 2012 and $ 475 million for 2011 ."]]}, "answers": ["1173"]}, "rejected_source": {"id": "GS/2016/page_183.pdf-2", "qa": {"question": "what was total rent charged to operating expense in millions for 2016 , 2015 and 2014?", "answer": "802", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "add2-1", "arg1": "244", "arg2": "249", "res": "493"}, {"op": "add2-2", "arg1": "#0", "arg2": "309", "res": "802"}], "program": "add(244, 249), add(#0, 309)", "gold_inds": {"text_9": "the credit loss protection on loan commitments provided by smfg is generally limited to 95% ( 95 % ) of the first loss the firm realizes on such commitments , up to a maximum of approximately $ 950 million .", "text_27": "rent charged to operating expense was $ 244 million for 2016 , $ 249 million for 2015 and $ 309 million for 2014 ."}, "exe_ans": 802.0, "tfidftopn": {"table_7": "$ in millions The total of as of december 2016 is $ 1941 ;"}, "program_re": "add(add(244, 249), 309)", "model_input": [["text_9", "the credit loss protection on loan commitments provided by smfg is generally limited to 95% ( 95 % ) of the first loss the firm realizes on such commitments , up to a maximum of approximately $ 950 million ."], ["text_14", "the firm provides financing to clients who warehouse financial assets ."], ["text_27", "rent charged to operating expense was $ 244 million for 2016 , $ 249 million for 2015 and $ 309 million for 2014 ."]]}, "answers": ["802"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001152", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was total rent charged to operating expense in millions for 2016 , 2015 and 2014?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "802.", "rejected": "1173.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what was total rent charged to operating expense in millions <TIME> , <TIME> and <TIME>?", "doc_prefix": "GS", "base_question": "what was total rent charged to operating expense in millions <TIME> , <TIME> and <TIME>?", "original_question": "what was total rent charged to operating expense in millions for 2016 , 2015 and 2014?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1173": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "802": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GS/2016/page_183.pdf-2", "qa": {"question": "what was total rent charged to operating expense in millions for 2016 , 2015 and 2014?", "answer": "802", "explanation": "", "ann_table_rows": [], "ann_text_rows": [9], "steps": [{"op": "add2-1", "arg1": "244", "arg2": "249", "res": "493"}, {"op": "add2-2", "arg1": "#0", "arg2": "309", "res": "802"}], "program": "add(244, 249), add(#0, 309)", "gold_inds": {"text_9": "the credit loss protection on loan commitments provided by smfg is generally limited to 95% ( 95 % ) of the first loss the firm realizes on such commitments , up to a maximum of approximately $ 950 million .", "text_27": "rent charged to operating expense was $ 244 million for 2016 , $ 249 million for 2015 and $ 309 million for 2014 ."}, "exe_ans": 802.0, "tfidftopn": {"table_7": "$ in millions The total of as of december 2016 is $ 1941 ;"}, "program_re": "add(add(244, 249), 309)", "model_input": [["text_9", "the credit loss protection on loan commitments provided by smfg is generally limited to 95% ( 95 % ) of the first loss the firm realizes on such commitments , up to a maximum of approximately $ 950 million ."], ["text_14", "the firm provides financing to clients who warehouse financial assets ."], ["text_27", "rent charged to operating expense was $ 244 million for 2016 , $ 249 million for 2015 and $ 309 million for 2014 ."]]}, "answers": ["802"]}, "rejected_source": {"id": "GS/2013/page_184.pdf-3", "qa": {"question": "what was total rent charged to operating expense in millions for 2013 , 2012 and 2011?", "answer": "1173", "explanation": "", "ann_table_rows": [], "ann_text_rows": [8], "steps": [{"op": "add2-1", "arg1": "324", "arg2": "374", "res": "698"}, {"op": "add2-2", "arg1": "#0", "arg2": "475", "res": "1173"}], "program": "add(324, 374), add(#0, 475)", "gold_inds": {"text_8": "the firm provides financing to clients who warehouse financial assets .", "text_21": "rent charged to operating expense was $ 324 million for 2013 , $ 374 million for 2012 and $ 475 million for 2011 ."}, "exe_ans": 1173.0, "tfidftopn": {"table_7": "in millions The total of as of december 2013 is $ 2695 ;"}, "program_re": "add(add(324, 374), 475)", "model_input": [["text_8", "the firm provides financing to clients who warehouse financial assets ."], ["text_20", "in millions december 2013 ."], ["text_21", "rent charged to operating expense was $ 324 million for 2013 , $ 374 million for 2012 and $ 475 million for 2011 ."]]}, "answers": ["1173"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001153", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on disca common stock from september 18 , 2008 to december 31 , 2008?\nReference time interval: 2008-09-18 00:00:00 to 2009-01-01 00:00:00", "chosen": "2.53%.", "rejected": "359.67%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on disca common stock <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on disca common stock <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on disca common stock from september 18 , 2008 to december 31 , 2008?", "reference_time": {"start": "2008-09-18 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2008-12-31", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"359.67%": [{"start": "2008-09-18 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2012-12-31"}], "2.53%": [{"start": "2008-09-18 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2008-12-31"}]}, "chosen_source": {"id": "DISCA/2008/page_141.pdf-4", "qa": {"question": "what was the percentage cumulative total shareholder return on disca common stock from september 18 , 2008 to december 31 , 2008?", "answer": "2.53%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "102.53", "arg2": "const_100", "res": "2.53"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "2.53%"}], "program": "subtract(102.53, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of september 18 2008 is $ 100.00 ; the disca of september 30 2008 is $ 103.19 ; the disca of december 31 2008 is $ 102.53 ;"}, "exe_ans": 0.0253, "tfidftopn": {"text_3": "september 18 , september 30 , december 31 , 2008 2008 2008 .", "text_0": "2 0 0 8 a n n u a l r e p o r t stock performance graph the following graph sets forth the performance of our series a common , series b common stock , and series c common stock for the period september 18 , 2008 through december 31 , 2008 as compared with the performance of the standard and poor 2019s 500 index and a peer group index which consists of the walt disney company , time warner inc. , cbs corporation class b common stock , viacom , inc ."}, "program_re": "divide(subtract(102.53, const_100), const_100)", "model_input": [["text_2", "the graph assumes $ 100 originally invested on september 18 , 2006 and that all subsequent dividends were reinvested in additional shares ."], ["table_1", "the disca of september 18 2008 is $ 100.00 ; the disca of september 30 2008 is $ 103.19 ; the disca of december 31 2008 is $ 102.53 ;"], ["table_2", "the discb of september 18 2008 is $ 100.00 ; the discb of september 30 2008 is $ 105.54 ; the discb of december 31 2008 is $ 78.53 ;"]]}, "answers": ["2.53%"]}, "rejected_source": {"id": "DISCA/2012/page_54.pdf-4", "qa": {"question": "what was the percentage cumulative total shareholder return on disca common stock from september 18 , 2008 to december 31 , 2012?", "answer": "359.67%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "459.67", "arg2": "const_100", "res": "359.67"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "359.67%"}], "program": "subtract(459.67, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of december 312008 is $ 102.53 ; the disca of december 312009 is $ 222.09 ; the disca of december 312010 is $ 301.96 ; the disca of december 312011 is $ 296.67 ; the disca of december 312012 is $ 459.67 ;"}, "exe_ans": 3.5967, "tfidftopn": {"text_2": "the graph assumes $ 100 originally invested on september 18 , 2008 , the date upon which our common stock began trading , in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the period september 18 , 2008 through december 31 , 2008 and the years ended december 31 , 2009 , 2010 , 2011 , and 2012 .", "text_0": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , news corporation class a common stock , scripps network interactive , inc. , time warner , inc. , viacom , inc ."}, "program_re": "divide(subtract(459.67, const_100), const_100)", "model_input": [["text_2", "the graph assumes $ 100 originally invested on september 18 , 2008 , the date upon which our common stock began trading , in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the period september 18 , 2008 through december 31 , 2008 and the years ended december 31 , 2009 , 2010 , 2011 , and 2012 ."], ["table_1", "the disca of december 312008 is $ 102.53 ; the disca of december 312009 is $ 222.09 ; the disca of december 312010 is $ 301.96 ; the disca of december 312011 is $ 296.67 ; the disca of december 312012 is $ 459.67 ;"], ["table_2", "the discb of december 312008 is $ 78.53 ; the discb of december 312009 is $ 162.82 ; the discb of december 312010 is $ 225.95 ; the discb of december 312011 is $ 217.56 ; the discb of december 312012 is $ 327.11 ;"]]}, "answers": ["359.67%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001154", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage cumulative total shareholder return on disca common stock from september 18 , 2008 to december 31 , 2012?\nReference time interval: 2008-09-18 00:00:00 to 2013-01-01 00:00:00", "chosen": "359.67%.", "rejected": "2.53%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISCA || what was the percentage cumulative total shareholder return on disca common stock <TIME>?", "doc_prefix": "DISCA", "base_question": "what was the percentage cumulative total shareholder return on disca common stock <TIME>?", "original_question": "what was the percentage cumulative total shareholder return on disca common stock from september 18 , 2008 to december 31 , 2012?", "reference_time": {"start": "2008-09-18 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2012-12-31", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"359.67%": [{"start": "2008-09-18 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2012-12-31"}], "2.53%": [{"start": "2008-09-18 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2008-09-18 to 2008-12-31"}]}, "chosen_source": {"id": "DISCA/2012/page_54.pdf-4", "qa": {"question": "what was the percentage cumulative total shareholder return on disca common stock from september 18 , 2008 to december 31 , 2012?", "answer": "359.67%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "459.67", "arg2": "const_100", "res": "359.67"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "359.67%"}], "program": "subtract(459.67, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of december 312008 is $ 102.53 ; the disca of december 312009 is $ 222.09 ; the disca of december 312010 is $ 301.96 ; the disca of december 312011 is $ 296.67 ; the disca of december 312012 is $ 459.67 ;"}, "exe_ans": 3.5967, "tfidftopn": {"text_2": "the graph assumes $ 100 originally invested on september 18 , 2008 , the date upon which our common stock began trading , in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the period september 18 , 2008 through december 31 , 2008 and the years ended december 31 , 2009 , 2010 , 2011 , and 2012 .", "text_0": "stock performance graph the following graph sets forth the cumulative total shareholder return on our series a common stock , series b common stock and series c common stock as compared with the cumulative total return of the companies listed in the standard and poor 2019s 500 stock index ( 201cs&p 500 index 201d ) and a peer group of companies comprised of cbs corporation class b common stock , news corporation class a common stock , scripps network interactive , inc. , time warner , inc. , viacom , inc ."}, "program_re": "divide(subtract(459.67, const_100), const_100)", "model_input": [["text_2", "the graph assumes $ 100 originally invested on september 18 , 2008 , the date upon which our common stock began trading , in each of our series a common stock , series b common stock and series c common stock , the s&p 500 index , and the stock of our peer group companies , including reinvestment of dividends , for the period september 18 , 2008 through december 31 , 2008 and the years ended december 31 , 2009 , 2010 , 2011 , and 2012 ."], ["table_1", "the disca of december 312008 is $ 102.53 ; the disca of december 312009 is $ 222.09 ; the disca of december 312010 is $ 301.96 ; the disca of december 312011 is $ 296.67 ; the disca of december 312012 is $ 459.67 ;"], ["table_2", "the discb of december 312008 is $ 78.53 ; the discb of december 312009 is $ 162.82 ; the discb of december 312010 is $ 225.95 ; the discb of december 312011 is $ 217.56 ; the discb of december 312012 is $ 327.11 ;"]]}, "answers": ["359.67%"]}, "rejected_source": {"id": "DISCA/2008/page_141.pdf-4", "qa": {"question": "what was the percentage cumulative total shareholder return on disca common stock from september 18 , 2008 to december 31 , 2008?", "answer": "2.53%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "102.53", "arg2": "const_100", "res": "2.53"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "2.53%"}], "program": "subtract(102.53, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the disca of september 18 2008 is $ 100.00 ; the disca of september 30 2008 is $ 103.19 ; the disca of december 31 2008 is $ 102.53 ;"}, "exe_ans": 0.0253, "tfidftopn": {"text_3": "september 18 , september 30 , december 31 , 2008 2008 2008 .", "text_0": "2 0 0 8 a n n u a l r e p o r t stock performance graph the following graph sets forth the performance of our series a common , series b common stock , and series c common stock for the period september 18 , 2008 through december 31 , 2008 as compared with the performance of the standard and poor 2019s 500 index and a peer group index which consists of the walt disney company , time warner inc. , cbs corporation class b common stock , viacom , inc ."}, "program_re": "divide(subtract(102.53, const_100), const_100)", "model_input": [["text_2", "the graph assumes $ 100 originally invested on september 18 , 2006 and that all subsequent dividends were reinvested in additional shares ."], ["table_1", "the disca of september 18 2008 is $ 100.00 ; the disca of september 30 2008 is $ 103.19 ; the disca of december 31 2008 is $ 102.53 ;"], ["table_2", "the discb of september 18 2008 is $ 100.00 ; the discb of september 30 2008 is $ 105.54 ; the discb of december 31 2008 is $ 78.53 ;"]]}, "answers": ["2.53%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001155", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "1743.", "rejected": "2078.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions <TIME>?", "doc_prefix": "GS", "base_question": "what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions <TIME>?", "original_question": "what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2078": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "1743": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "GS/2014/page_80.pdf-1", "qa": {"question": "what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions in 2014?", "answer": "1743", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2815", "arg2": "1072", "res": "1743"}], "program": "subtract(2815, 1072)", "gold_inds": {"table_1": "$ in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2014 is $ 1072 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ;", "table_2": "$ in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2014 is 2815 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ;"}, "exe_ans": 1743.0, "tfidftopn": {"text_6": "$ in millions 2014 2013 additional collateral or termination payments for a one-notch downgrade $ 1072 $ 911 additional collateral or termination payments for a two-notch downgrade 2815 2989 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "subtract(2815, 1072)", "model_input": [["text_5", "the table below presents the additional collateral or termination payments related to our net derivative liabilities under bilateral agreements that could have been called at the reporting date by counterparties in the event of a one-notch and two-notch downgrade in our credit ratings. ."], ["table_1", "$ in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2014 is $ 1072 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ;"], ["table_2", "$ in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2014 is 2815 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ;"]]}, "answers": ["1743"]}, "rejected_source": {"id": "GS/2014/page_80.pdf-2", "qa": {"question": "what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions in 2013?", "answer": "2078", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2989", "arg2": "911", "res": "2078"}], "program": "subtract(2989, 911)", "gold_inds": {"table_1": "$ in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2014 is $ 1072 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ;", "table_2": "$ in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2014 is 2815 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ;"}, "exe_ans": 2078.0, "tfidftopn": {"text_6": "$ in millions 2014 2013 additional collateral or termination payments for a one-notch downgrade $ 1072 $ 911 additional collateral or termination payments for a two-notch downgrade 2815 2989 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "subtract(2989, 911)", "model_input": [["text_5", "the table below presents the additional collateral or termination payments related to our net derivative liabilities under bilateral agreements that could have been called at the reporting date by counterparties in the event of a one-notch and two-notch downgrade in our credit ratings. ."], ["table_1", "$ in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2014 is $ 1072 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ;"], ["table_2", "$ in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2014 is 2815 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ;"]]}, "answers": ["2078"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001156", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "2078.", "rejected": "1743.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions <TIME>?", "doc_prefix": "GS", "base_question": "what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions <TIME>?", "original_question": "what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2078": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "1743": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "GS/2014/page_80.pdf-2", "qa": {"question": "what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions in 2013?", "answer": "2078", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2989", "arg2": "911", "res": "2078"}], "program": "subtract(2989, 911)", "gold_inds": {"table_1": "$ in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2014 is $ 1072 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ;", "table_2": "$ in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2014 is 2815 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ;"}, "exe_ans": 2078.0, "tfidftopn": {"text_6": "$ in millions 2014 2013 additional collateral or termination payments for a one-notch downgrade $ 1072 $ 911 additional collateral or termination payments for a two-notch downgrade 2815 2989 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "subtract(2989, 911)", "model_input": [["text_5", "the table below presents the additional collateral or termination payments related to our net derivative liabilities under bilateral agreements that could have been called at the reporting date by counterparties in the event of a one-notch and two-notch downgrade in our credit ratings. ."], ["table_1", "$ in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2014 is $ 1072 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ;"], ["table_2", "$ in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2014 is 2815 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ;"]]}, "answers": ["2078"]}, "rejected_source": {"id": "GS/2014/page_80.pdf-1", "qa": {"question": "what is the difference in the required additional collateral or termination payments for a two-notch downgrade and additional collateral or termination payments for a one-notch downgrade in millions in 2014?", "answer": "1743", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2815", "arg2": "1072", "res": "1743"}], "program": "subtract(2815, 1072)", "gold_inds": {"table_1": "$ in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2014 is $ 1072 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ;", "table_2": "$ in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2014 is 2815 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ;"}, "exe_ans": 1743.0, "tfidftopn": {"text_6": "$ in millions 2014 2013 additional collateral or termination payments for a one-notch downgrade $ 1072 $ 911 additional collateral or termination payments for a two-notch downgrade 2815 2989 cash flows as a global financial institution , our cash flows are complex and bear little relation to our net earnings and net assets ."}, "program_re": "subtract(2815, 1072)", "model_input": [["text_5", "the table below presents the additional collateral or termination payments related to our net derivative liabilities under bilateral agreements that could have been called at the reporting date by counterparties in the event of a one-notch and two-notch downgrade in our credit ratings. ."], ["table_1", "$ in millions the additional collateral or termination payments for a one-notch downgrade of as of december 2014 is $ 1072 ; the additional collateral or termination payments for a one-notch downgrade of as of december 2013 is $ 911 ;"], ["table_2", "$ in millions the additional collateral or termination payments for a two-notch downgrade of as of december 2014 is 2815 ; the additional collateral or termination payments for a two-notch downgrade of as of december 2013 is 2989 ;"]]}, "answers": ["1743"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001157", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are total estimated future benefit payments in millions for 2019?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "1364.", "rejected": "1382.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what are total estimated future benefit payments in millions <TIME>?", "doc_prefix": "C", "base_question": "what are total estimated future benefit payments in millions <TIME>?", "original_question": "what are total estimated future benefit payments in millions for 2019?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1364": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "1382": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "C/2018/page_190.pdf-1", "qa": {"question": "what are total estimated future benefit payments in millions for 2019?", "answer": "1364", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "sum1-1", "arg1": "2019", "arg2": "none", "res": "1364"}], "program": "table_sum(2019, none)", "gold_inds": {"table_1": "in millions of dollars the 2019 of pension plans u.s . plans is $ 797 ; the 2019 of pension plans non-u.s . plans is $ 435 ; the 2019 of pension plans u.s . plans is $ 62 ; the 2019 of non-u.s . plans is $ 70 ;"}, "exe_ans": 1364.0, "tfidftopn": {"text_20": "estimated future benefit payments the company expects to pay the following estimated benefit payments in future years: .", "text_1": "the investment strategies are targeted to produce a total return that , when combined with the company 2019s contributions to the funds , will maintain the funds 2019 ability to meet all required benefit obligations ."}, "program_re": "table_sum(2019, none)", "model_input": [["table_1", "in millions of dollars the 2019 of pension plans u.s . plans is $ 797 ; the 2019 of pension plans non-u.s . plans is $ 435 ; the 2019 of pension plans u.s . plans is $ 62 ; the 2019 of non-u.s . plans is $ 70 ;"], ["table_2", "in millions of dollars the 2020 of pension plans u.s . plans is 828 ; the 2020 of pension plans non-u.s . plans is 417 ; the 2020 of pension plans u.s . plans is 62 ; the 2020 of non-u.s . plans is 75 ;"], ["table_6", "in millions of dollars the 2024 20132028 of pension plans u.s . plans is 4365 ; the 2024 20132028 of pension plans non-u.s . plans is 2557 ; the 2024 20132028 of pension plans u.s . plans is 252 ; the 2024 20132028 of non-u.s . plans is 547 ;"]]}, "answers": ["1364"]}, "rejected_source": {"id": "C/2018/page_190.pdf-2", "qa": {"question": "what are total estimated future benefit payments in millions for 2020?", "answer": "1382", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "sum2-1", "arg1": "2020", "arg2": "none", "res": "1382"}], "program": "table_sum(2020, none)", "gold_inds": {"table_2": "in millions of dollars the 2020 of pension plans u.s . plans is 828 ; the 2020 of pension plans non-u.s . plans is 417 ; the 2020 of pension plans u.s . plans is 62 ; the 2020 of non-u.s . plans is 75 ;"}, "exe_ans": 1382.0, "tfidftopn": {"text_20": "estimated future benefit payments the company expects to pay the following estimated benefit payments in future years: .", "text_1": "the investment strategies are targeted to produce a total return that , when combined with the company 2019s contributions to the funds , will maintain the funds 2019 ability to meet all required benefit obligations ."}, "program_re": "table_sum(2020, none)", "model_input": [["table_1", "in millions of dollars the 2019 of pension plans u.s . plans is $ 797 ; the 2019 of pension plans non-u.s . plans is $ 435 ; the 2019 of pension plans u.s . plans is $ 62 ; the 2019 of non-u.s . plans is $ 70 ;"], ["table_2", "in millions of dollars the 2020 of pension plans u.s . plans is 828 ; the 2020 of pension plans non-u.s . plans is 417 ; the 2020 of pension plans u.s . plans is 62 ; the 2020 of non-u.s . plans is 75 ;"], ["table_6", "in millions of dollars the 2024 20132028 of pension plans u.s . plans is 4365 ; the 2024 20132028 of pension plans non-u.s . plans is 2557 ; the 2024 20132028 of pension plans u.s . plans is 252 ; the 2024 20132028 of non-u.s . plans is 547 ;"]]}, "answers": ["1382"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001158", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are total estimated future benefit payments in millions for 2020?\nReference time interval: 2020-01-01 00:00:00 to 2021-01-01 00:00:00", "chosen": "1382.", "rejected": "1364.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what are total estimated future benefit payments in millions <TIME>?", "doc_prefix": "C", "base_question": "what are total estimated future benefit payments in millions <TIME>?", "original_question": "what are total estimated future benefit payments in millions for 2020?", "reference_time": {"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1364": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "1382": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "C/2018/page_190.pdf-2", "qa": {"question": "what are total estimated future benefit payments in millions for 2020?", "answer": "1382", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "sum2-1", "arg1": "2020", "arg2": "none", "res": "1382"}], "program": "table_sum(2020, none)", "gold_inds": {"table_2": "in millions of dollars the 2020 of pension plans u.s . plans is 828 ; the 2020 of pension plans non-u.s . plans is 417 ; the 2020 of pension plans u.s . plans is 62 ; the 2020 of non-u.s . plans is 75 ;"}, "exe_ans": 1382.0, "tfidftopn": {"text_20": "estimated future benefit payments the company expects to pay the following estimated benefit payments in future years: .", "text_1": "the investment strategies are targeted to produce a total return that , when combined with the company 2019s contributions to the funds , will maintain the funds 2019 ability to meet all required benefit obligations ."}, "program_re": "table_sum(2020, none)", "model_input": [["table_1", "in millions of dollars the 2019 of pension plans u.s . plans is $ 797 ; the 2019 of pension plans non-u.s . plans is $ 435 ; the 2019 of pension plans u.s . plans is $ 62 ; the 2019 of non-u.s . plans is $ 70 ;"], ["table_2", "in millions of dollars the 2020 of pension plans u.s . plans is 828 ; the 2020 of pension plans non-u.s . plans is 417 ; the 2020 of pension plans u.s . plans is 62 ; the 2020 of non-u.s . plans is 75 ;"], ["table_6", "in millions of dollars the 2024 20132028 of pension plans u.s . plans is 4365 ; the 2024 20132028 of pension plans non-u.s . plans is 2557 ; the 2024 20132028 of pension plans u.s . plans is 252 ; the 2024 20132028 of non-u.s . plans is 547 ;"]]}, "answers": ["1382"]}, "rejected_source": {"id": "C/2018/page_190.pdf-1", "qa": {"question": "what are total estimated future benefit payments in millions for 2019?", "answer": "1364", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "sum1-1", "arg1": "2019", "arg2": "none", "res": "1364"}], "program": "table_sum(2019, none)", "gold_inds": {"table_1": "in millions of dollars the 2019 of pension plans u.s . plans is $ 797 ; the 2019 of pension plans non-u.s . plans is $ 435 ; the 2019 of pension plans u.s . plans is $ 62 ; the 2019 of non-u.s . plans is $ 70 ;"}, "exe_ans": 1364.0, "tfidftopn": {"text_20": "estimated future benefit payments the company expects to pay the following estimated benefit payments in future years: .", "text_1": "the investment strategies are targeted to produce a total return that , when combined with the company 2019s contributions to the funds , will maintain the funds 2019 ability to meet all required benefit obligations ."}, "program_re": "table_sum(2019, none)", "model_input": [["table_1", "in millions of dollars the 2019 of pension plans u.s . plans is $ 797 ; the 2019 of pension plans non-u.s . plans is $ 435 ; the 2019 of pension plans u.s . plans is $ 62 ; the 2019 of non-u.s . plans is $ 70 ;"], ["table_2", "in millions of dollars the 2020 of pension plans u.s . plans is 828 ; the 2020 of pension plans non-u.s . plans is 417 ; the 2020 of pension plans u.s . plans is 62 ; the 2020 of non-u.s . plans is 75 ;"], ["table_6", "in millions of dollars the 2024 20132028 of pension plans u.s . plans is 4365 ; the 2024 20132028 of pension plans non-u.s . plans is 2557 ; the 2024 20132028 of pension plans u.s . plans is 252 ; the 2024 20132028 of non-u.s . plans is 547 ;"]]}, "answers": ["1364"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001159", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "4%.", "rejected": "8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance <TIME>?", "doc_prefix": "PKG", "base_question": "what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance <TIME>?", "original_question": "what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "8%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}]}, "chosen_source": {"id": "PKG/2005/page_73.pdf-1", "qa": {"question": "what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance from 2003 to 2004?", "answer": "4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [12], "steps": [{"op": "minus1-1", "arg1": "33.0", "arg2": "31.6", "res": "1.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "31.6", "res": "4%"}], "program": "subtract(33.0, 31.6), divide(#0, 31.6)", "gold_inds": {"text_12": "total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance , for the years ended december 31 , 2005 , 2004 and 2003 was $ 35.8 million , $ 33.0 million and $ 31.6 million , respectively ."}, "exe_ans": 0.0443, "tfidftopn": {"text_10": "the minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are as follows : ( in thousands ) .", "table_6": "2006 The total of $ 24569 is $ 113972 ;"}, "program_re": "divide(subtract(33.0, 31.6), 31.6)", "model_input": [["text_1", "shareholders 2019 equity ( continued ) stockholder received proceeds , net of the underwriting discount , of $ 20.69 per share ."], ["table_6", "2006 the total of $ 24569 is $ 113972 ;"], ["text_12", "total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance , for the years ended december 31 , 2005 , 2004 and 2003 was $ 35.8 million , $ 33.0 million and $ 31.6 million , respectively ."]]}, "answers": ["4%"]}, "rejected_source": {"id": "PKG/2005/page_73.pdf-4", "qa": {"question": "what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance from 2004 to 2005?", "answer": "8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [12], "steps": [{"op": "minus2-1", "arg1": "35.8", "arg2": "33.0", "res": "2.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "33.0", "res": "8%"}], "program": "subtract(35.8, 33.0), divide(#0, 33.0)", "gold_inds": {"text_12": "total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance , for the years ended december 31 , 2005 , 2004 and 2003 was $ 35.8 million , $ 33.0 million and $ 31.6 million , respectively ."}, "exe_ans": 0.08485, "tfidftopn": {"text_10": "the minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are as follows : ( in thousands ) .", "table_6": "2006 The total of $ 24569 is $ 113972 ;"}, "program_re": "divide(subtract(35.8, 33.0), 33.0)", "model_input": [["text_1", "shareholders 2019 equity ( continued ) stockholder received proceeds , net of the underwriting discount , of $ 20.69 per share ."], ["table_6", "2006 the total of $ 24569 is $ 113972 ;"], ["text_12", "total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance , for the years ended december 31 , 2005 , 2004 and 2003 was $ 35.8 million , $ 33.0 million and $ 31.6 million , respectively ."]]}, "answers": ["8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001160", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "8%.", "rejected": "4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance <TIME>?", "doc_prefix": "PKG", "base_question": "what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance <TIME>?", "original_question": "what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "8%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}]}, "chosen_source": {"id": "PKG/2005/page_73.pdf-4", "qa": {"question": "what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance from 2004 to 2005?", "answer": "8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [12], "steps": [{"op": "minus2-1", "arg1": "35.8", "arg2": "33.0", "res": "2.8"}, {"op": "divide2-2", "arg1": "#0", "arg2": "33.0", "res": "8%"}], "program": "subtract(35.8, 33.0), divide(#0, 33.0)", "gold_inds": {"text_12": "total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance , for the years ended december 31 , 2005 , 2004 and 2003 was $ 35.8 million , $ 33.0 million and $ 31.6 million , respectively ."}, "exe_ans": 0.08485, "tfidftopn": {"text_10": "the minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are as follows : ( in thousands ) .", "table_6": "2006 The total of $ 24569 is $ 113972 ;"}, "program_re": "divide(subtract(35.8, 33.0), 33.0)", "model_input": [["text_1", "shareholders 2019 equity ( continued ) stockholder received proceeds , net of the underwriting discount , of $ 20.69 per share ."], ["table_6", "2006 the total of $ 24569 is $ 113972 ;"], ["text_12", "total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance , for the years ended december 31 , 2005 , 2004 and 2003 was $ 35.8 million , $ 33.0 million and $ 31.6 million , respectively ."]]}, "answers": ["8%"]}, "rejected_source": {"id": "PKG/2005/page_73.pdf-1", "qa": {"question": "what was the percentage change in total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance from 2003 to 2004?", "answer": "4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [12], "steps": [{"op": "minus1-1", "arg1": "33.0", "arg2": "31.6", "res": "1.4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "31.6", "res": "4%"}], "program": "subtract(33.0, 31.6), divide(#0, 31.6)", "gold_inds": {"text_12": "total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance , for the years ended december 31 , 2005 , 2004 and 2003 was $ 35.8 million , $ 33.0 million and $ 31.6 million , respectively ."}, "exe_ans": 0.0443, "tfidftopn": {"text_10": "the minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are as follows : ( in thousands ) .", "table_6": "2006 The total of $ 24569 is $ 113972 ;"}, "program_re": "divide(subtract(33.0, 31.6), 31.6)", "model_input": [["text_1", "shareholders 2019 equity ( continued ) stockholder received proceeds , net of the underwriting discount , of $ 20.69 per share ."], ["table_6", "2006 the total of $ 24569 is $ 113972 ;"], ["text_12", "total lease expense , including base rent on all leases and executory costs , such as insurance , taxes , and maintenance , for the years ended december 31 , 2005 , 2004 and 2003 was $ 35.8 million , $ 33.0 million and $ 31.6 million , respectively ."]]}, "answers": ["4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001161", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the deposits of clients from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "7.1%.", "rejected": "8.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what is the growth rate in the deposits of clients <TIME>?", "doc_prefix": "STT", "base_question": "what is the growth rate in the deposits of clients <TIME>?", "original_question": "what is the growth rate in the deposits of clients from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "7.1%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "STT/2014/page_99.pdf-1", "qa": {"question": "what is the growth rate in the deposits of clients from 2013 to 2014?", "answer": "7.1%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "195276", "arg2": "182268", "res": "13008"}, {"op": "divide1-2", "arg1": "#0", "arg2": "182268", "res": "7.1%"}], "program": "subtract(195276, 182268), divide(#0, 182268)", "gold_inds": {"text_2": "as a global custodian , clients place deposits with state street entities in various currencies .", "table_1": "( in millions ) the client deposits ( 1 ) of december 31 , 2014 is $ 195276 ; the client deposits ( 1 ) of december 31 , 2013 is $ 182268 ; the client deposits ( 1 ) of december 31 , 2014 is $ 167470 ; the client deposits ( 1 ) of 2013 is $ 143043 ;"}, "exe_ans": 0.07137, "tfidftopn": {"text_15": "these balances were $ 8.93 billion and $ 7.95 billion as of december 31 , 2014 and 2013 , respectively ."}, "program_re": "divide(subtract(195276, 182268), 182268)", "model_input": [["text_2", "as a global custodian , clients place deposits with state street entities in various currencies ."], ["table_1", "( in millions ) the client deposits ( 1 ) of december 31 , 2014 is $ 195276 ; the client deposits ( 1 ) of december 31 , 2013 is $ 182268 ; the client deposits ( 1 ) of december 31 , 2014 is $ 167470 ; the client deposits ( 1 ) of 2013 is $ 143043 ;"], ["text_7", "client deposits ( 1 ) $ 195276 $ 182268 $ 167470 $ 143043 ( 1 ) balance as of december 31 , 2014 excluded term wholesale certificates of deposit , or cds , of $ 13.76 billion ; average balances for the year ended december 31 , 2014 and 2013 excluded average cds of $ 6.87 billion and $ 2.50 billion , respectively ."]]}, "answers": ["7.1%"]}, "rejected_source": {"id": "STT/2014/page_99.pdf-3", "qa": {"question": "what is the growth rate in the deposits of clients from 2012 to 2013?", "answer": "8.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "182268", "arg2": "167470", "res": "14798"}, {"op": "divide2-2", "arg1": "#0", "arg2": "167470", "res": "8.8%"}], "program": "subtract(182268, 167470), divide(#0, 167470)", "gold_inds": {"table_1": "( in millions ) the client deposits ( 1 ) of december 31 , 2014 is $ 195276 ; the client deposits ( 1 ) of december 31 , 2013 is $ 182268 ; the client deposits ( 1 ) of december 31 , 2014 is $ 167470 ; the client deposits ( 1 ) of 2013 is $ 143043 ;"}, "exe_ans": 0.08836, "tfidftopn": {"text_2": "as a global custodian , clients place deposits with state street entities in various currencies .", "text_3": "we invest these client deposits in a combination of investment securities and short- duration financial instruments whose mix is determined by the characteristics of the deposits ."}, "program_re": "divide(subtract(182268, 167470), 167470)", "model_input": [["text_2", "as a global custodian , clients place deposits with state street entities in various currencies ."], ["table_1", "( in millions ) the client deposits ( 1 ) of december 31 , 2014 is $ 195276 ; the client deposits ( 1 ) of december 31 , 2013 is $ 182268 ; the client deposits ( 1 ) of december 31 , 2014 is $ 167470 ; the client deposits ( 1 ) of 2013 is $ 143043 ;"], ["text_7", "client deposits ( 1 ) $ 195276 $ 182268 $ 167470 $ 143043 ( 1 ) balance as of december 31 , 2014 excluded term wholesale certificates of deposit , or cds , of $ 13.76 billion ; average balances for the year ended december 31 , 2014 and 2013 excluded average cds of $ 6.87 billion and $ 2.50 billion , respectively ."]]}, "answers": ["8.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001162", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in the deposits of clients from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "8.8%.", "rejected": "7.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "STT || what is the growth rate in the deposits of clients <TIME>?", "doc_prefix": "STT", "base_question": "what is the growth rate in the deposits of clients <TIME>?", "original_question": "what is the growth rate in the deposits of clients from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8.8%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "7.1%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "STT/2014/page_99.pdf-3", "qa": {"question": "what is the growth rate in the deposits of clients from 2012 to 2013?", "answer": "8.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "182268", "arg2": "167470", "res": "14798"}, {"op": "divide2-2", "arg1": "#0", "arg2": "167470", "res": "8.8%"}], "program": "subtract(182268, 167470), divide(#0, 167470)", "gold_inds": {"table_1": "( in millions ) the client deposits ( 1 ) of december 31 , 2014 is $ 195276 ; the client deposits ( 1 ) of december 31 , 2013 is $ 182268 ; the client deposits ( 1 ) of december 31 , 2014 is $ 167470 ; the client deposits ( 1 ) of 2013 is $ 143043 ;"}, "exe_ans": 0.08836, "tfidftopn": {"text_2": "as a global custodian , clients place deposits with state street entities in various currencies .", "text_3": "we invest these client deposits in a combination of investment securities and short- duration financial instruments whose mix is determined by the characteristics of the deposits ."}, "program_re": "divide(subtract(182268, 167470), 167470)", "model_input": [["text_2", "as a global custodian , clients place deposits with state street entities in various currencies ."], ["table_1", "( in millions ) the client deposits ( 1 ) of december 31 , 2014 is $ 195276 ; the client deposits ( 1 ) of december 31 , 2013 is $ 182268 ; the client deposits ( 1 ) of december 31 , 2014 is $ 167470 ; the client deposits ( 1 ) of 2013 is $ 143043 ;"], ["text_7", "client deposits ( 1 ) $ 195276 $ 182268 $ 167470 $ 143043 ( 1 ) balance as of december 31 , 2014 excluded term wholesale certificates of deposit , or cds , of $ 13.76 billion ; average balances for the year ended december 31 , 2014 and 2013 excluded average cds of $ 6.87 billion and $ 2.50 billion , respectively ."]]}, "answers": ["8.8%"]}, "rejected_source": {"id": "STT/2014/page_99.pdf-1", "qa": {"question": "what is the growth rate in the deposits of clients from 2013 to 2014?", "answer": "7.1%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "195276", "arg2": "182268", "res": "13008"}, {"op": "divide1-2", "arg1": "#0", "arg2": "182268", "res": "7.1%"}], "program": "subtract(195276, 182268), divide(#0, 182268)", "gold_inds": {"text_2": "as a global custodian , clients place deposits with state street entities in various currencies .", "table_1": "( in millions ) the client deposits ( 1 ) of december 31 , 2014 is $ 195276 ; the client deposits ( 1 ) of december 31 , 2013 is $ 182268 ; the client deposits ( 1 ) of december 31 , 2014 is $ 167470 ; the client deposits ( 1 ) of 2013 is $ 143043 ;"}, "exe_ans": 0.07137, "tfidftopn": {"text_15": "these balances were $ 8.93 billion and $ 7.95 billion as of december 31 , 2014 and 2013 , respectively ."}, "program_re": "divide(subtract(195276, 182268), 182268)", "model_input": [["text_2", "as a global custodian , clients place deposits with state street entities in various currencies ."], ["table_1", "( in millions ) the client deposits ( 1 ) of december 31 , 2014 is $ 195276 ; the client deposits ( 1 ) of december 31 , 2013 is $ 182268 ; the client deposits ( 1 ) of december 31 , 2014 is $ 167470 ; the client deposits ( 1 ) of 2013 is $ 143043 ;"], ["text_7", "client deposits ( 1 ) $ 195276 $ 182268 $ 167470 $ 143043 ( 1 ) balance as of december 31 , 2014 excluded term wholesale certificates of deposit , or cds , of $ 13.76 billion ; average balances for the year ended december 31 , 2014 and 2013 excluded average cds of $ 6.87 billion and $ 2.50 billion , respectively ."]]}, "answers": ["7.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001163", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2018 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 is due to maturities of long-term debt?\nReference time interval: 2016-12-31 00:00:00 to 2017-01-01 00:00:00", "chosen": "49%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> is due to maturities of long-term debt?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> is due to maturities of long-term debt?", "original_question": "in 2018 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 is due to maturities of long-term debt?", "reference_time": {"start": "2016-12-31 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49%": [{"start": "2016-12-31 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016-12-31"}], "7%": [{"start": "2016-12-31 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016-12-31"}]}, "chosen_source": {"id": "IP/2016/page_52.pdf-2", "qa": {"question": "in 2018 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 is due to maturities of long-term debt?", "answer": "49%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "690", "arg2": "1416", "res": "49%"}], "program": "divide(690, 1416)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2017 is $ 239 ; the maturities of long-term debt ( a ) of 2018 is $ 690 ; the maturities of long-term debt ( a ) of 2019 is $ 433 ; the maturities of long-term debt ( a ) of 2020 is $ 179 ; the maturities of long-term debt ( a ) of 2021 is $ 612 ; the maturities of long-term debt ( a ) of thereafter is $ 9161 ;", "table_4": "in millions the total ( c ) of 2017 is $ 3523 ; the total ( c ) of 2018 is $ 1416 ; the total ( c ) of 2019 is $ 1027 ; the total ( c ) of 2020 is $ 725 ; the total ( c ) of 2021 is $ 1110 ; the total ( c ) of thereafter is $ 11618 ;"}, "exe_ans": 0.48729, "tfidftopn": {"text_41": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 , were as follows: ."}, "program_re": "divide(690, 1416)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2017 is $ 239 ; the maturities of long-term debt ( a ) of 2018 is $ 690 ; the maturities of long-term debt ( a ) of 2019 is $ 433 ; the maturities of long-term debt ( a ) of 2020 is $ 179 ; the maturities of long-term debt ( a ) of 2021 is $ 612 ; the maturities of long-term debt ( a ) of thereafter is $ 9161 ;"], ["table_2", "in millions the lease obligations of 2017 is 119 ; the lease obligations of 2018 is 91 ; the lease obligations of 2019 is 69 ; the lease obligations of 2020 is 51 ; the lease obligations of 2021 is 38 ; the lease obligations of thereafter is 125 ;"], ["table_4", "in millions the total ( c ) of 2017 is $ 3523 ; the total ( c ) of 2018 is $ 1416 ; the total ( c ) of 2019 is $ 1027 ; the total ( c ) of 2020 is $ 725 ; the total ( c ) of 2021 is $ 1110 ; the total ( c ) of thereafter is $ 11618 ;"]]}, "answers": ["49%"]}, "rejected_source": {"id": "IP/2016/page_52.pdf-1", "qa": {"question": "in 2017 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 is due to maturities of long-term debt?", "answer": "7%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "239", "arg2": "3523", "res": "7%"}], "program": "divide(239, 3523)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2017 is $ 239 ; the maturities of long-term debt ( a ) of 2018 is $ 690 ; the maturities of long-term debt ( a ) of 2019 is $ 433 ; the maturities of long-term debt ( a ) of 2020 is $ 179 ; the maturities of long-term debt ( a ) of 2021 is $ 612 ; the maturities of long-term debt ( a ) of thereafter is $ 9161 ;", "table_4": "in millions the total ( c ) of 2017 is $ 3523 ; the total ( c ) of 2018 is $ 1416 ; the total ( c ) of 2019 is $ 1027 ; the total ( c ) of 2020 is $ 725 ; the total ( c ) of 2021 is $ 1110 ; the total ( c ) of thereafter is $ 11618 ;"}, "exe_ans": 0.06784, "tfidftopn": {"text_41": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 , were as follows: ."}, "program_re": "divide(239, 3523)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2017 is $ 239 ; the maturities of long-term debt ( a ) of 2018 is $ 690 ; the maturities of long-term debt ( a ) of 2019 is $ 433 ; the maturities of long-term debt ( a ) of 2020 is $ 179 ; the maturities of long-term debt ( a ) of 2021 is $ 612 ; the maturities of long-term debt ( a ) of thereafter is $ 9161 ;"], ["table_2", "in millions the lease obligations of 2017 is 119 ; the lease obligations of 2018 is 91 ; the lease obligations of 2019 is 69 ; the lease obligations of 2020 is 51 ; the lease obligations of 2021 is 38 ; the lease obligations of thereafter is 125 ;"], ["table_4", "in millions the total ( c ) of 2017 is $ 3523 ; the total ( c ) of 2018 is $ 1416 ; the total ( c ) of 2019 is $ 1027 ; the total ( c ) of 2020 is $ 725 ; the total ( c ) of 2021 is $ 1110 ; the total ( c ) of thereafter is $ 11618 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001164", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2017 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 is due to maturities of long-term debt?\nReference time interval: 2016-12-31 00:00:00 to 2017-01-01 00:00:00", "chosen": "7%.", "rejected": "49%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> is due to maturities of long-term debt?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> is due to maturities of long-term debt?", "original_question": "in 2017 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 is due to maturities of long-term debt?", "reference_time": {"start": "2016-12-31 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"49%": [{"start": "2016-12-31 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016-12-31"}], "7%": [{"start": "2016-12-31 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016-12-31"}]}, "chosen_source": {"id": "IP/2016/page_52.pdf-1", "qa": {"question": "in 2017 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 is due to maturities of long-term debt?", "answer": "7%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "239", "arg2": "3523", "res": "7%"}], "program": "divide(239, 3523)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2017 is $ 239 ; the maturities of long-term debt ( a ) of 2018 is $ 690 ; the maturities of long-term debt ( a ) of 2019 is $ 433 ; the maturities of long-term debt ( a ) of 2020 is $ 179 ; the maturities of long-term debt ( a ) of 2021 is $ 612 ; the maturities of long-term debt ( a ) of thereafter is $ 9161 ;", "table_4": "in millions the total ( c ) of 2017 is $ 3523 ; the total ( c ) of 2018 is $ 1416 ; the total ( c ) of 2019 is $ 1027 ; the total ( c ) of 2020 is $ 725 ; the total ( c ) of 2021 is $ 1110 ; the total ( c ) of thereafter is $ 11618 ;"}, "exe_ans": 0.06784, "tfidftopn": {"text_41": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 , were as follows: ."}, "program_re": "divide(239, 3523)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2017 is $ 239 ; the maturities of long-term debt ( a ) of 2018 is $ 690 ; the maturities of long-term debt ( a ) of 2019 is $ 433 ; the maturities of long-term debt ( a ) of 2020 is $ 179 ; the maturities of long-term debt ( a ) of 2021 is $ 612 ; the maturities of long-term debt ( a ) of thereafter is $ 9161 ;"], ["table_2", "in millions the lease obligations of 2017 is 119 ; the lease obligations of 2018 is 91 ; the lease obligations of 2019 is 69 ; the lease obligations of 2020 is 51 ; the lease obligations of 2021 is 38 ; the lease obligations of thereafter is 125 ;"], ["table_4", "in millions the total ( c ) of 2017 is $ 3523 ; the total ( c ) of 2018 is $ 1416 ; the total ( c ) of 2019 is $ 1027 ; the total ( c ) of 2020 is $ 725 ; the total ( c ) of 2021 is $ 1110 ; the total ( c ) of thereafter is $ 11618 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "IP/2016/page_52.pdf-2", "qa": {"question": "in 2018 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 is due to maturities of long-term debt?", "answer": "49%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "690", "arg2": "1416", "res": "49%"}], "program": "divide(690, 1416)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2017 is $ 239 ; the maturities of long-term debt ( a ) of 2018 is $ 690 ; the maturities of long-term debt ( a ) of 2019 is $ 433 ; the maturities of long-term debt ( a ) of 2020 is $ 179 ; the maturities of long-term debt ( a ) of 2021 is $ 612 ; the maturities of long-term debt ( a ) of thereafter is $ 9161 ;", "table_4": "in millions the total ( c ) of 2017 is $ 3523 ; the total ( c ) of 2018 is $ 1416 ; the total ( c ) of 2019 is $ 1027 ; the total ( c ) of 2020 is $ 725 ; the total ( c ) of 2021 is $ 1110 ; the total ( c ) of thereafter is $ 11618 ;"}, "exe_ans": 0.48729, "tfidftopn": {"text_41": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2016 , were as follows: ."}, "program_re": "divide(690, 1416)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2017 is $ 239 ; the maturities of long-term debt ( a ) of 2018 is $ 690 ; the maturities of long-term debt ( a ) of 2019 is $ 433 ; the maturities of long-term debt ( a ) of 2020 is $ 179 ; the maturities of long-term debt ( a ) of 2021 is $ 612 ; the maturities of long-term debt ( a ) of thereafter is $ 9161 ;"], ["table_2", "in millions the lease obligations of 2017 is 119 ; the lease obligations of 2018 is 91 ; the lease obligations of 2019 is 69 ; the lease obligations of 2020 is 51 ; the lease obligations of 2021 is 38 ; the lease obligations of thereafter is 125 ;"], ["table_4", "in millions the total ( c ) of 2017 is $ 3523 ; the total ( c ) of 2018 is $ 1416 ; the total ( c ) of 2019 is $ 1027 ; the total ( c ) of 2020 is $ 725 ; the total ( c ) of 2021 is $ 1110 ; the total ( c ) of thereafter is $ 11618 ;"]]}, "answers": ["49%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001165", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "6259.", "rejected": "8077.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JKHY || if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 <TIME>?", "doc_prefix": "JKHY", "base_question": "if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 <TIME>?", "original_question": "if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6259": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "8077": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "JKHY/2010/page_50.pdf-1", "qa": {"question": "if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 2009?", "answer": "6259", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [8], "steps": [{"op": "add1-1", "arg1": "5518", "arg2": "732", "res": "6250"}], "program": "add(5518, 732)", "gold_inds": {"table_7": "the balance at june 30 2009 of unrecognized tax benefits is 5518 ;", "text_8": "we had accrued interest and penalties of $ 890 and $ 732 related to uncertain tax positions at june 30 , 2010 and 2009 , respectively ."}, "exe_ans": 6250.0, "tfidftopn": {"table_14": "The balance at june 30 2010 of unrecognized tax benefits is $ 7187 ;"}, "program_re": "add(5518, 732)", "model_input": [["text_8", "we had accrued interest and penalties of $ 890 and $ 732 related to uncertain tax positions at june 30 , 2010 and 2009 , respectively ."], ["table_7", "the balance at june 30 2009 of unrecognized tax benefits is 5518 ;"], ["table_14", "the balance at june 30 2010 of unrecognized tax benefits is $ 7187 ;"]]}, "answers": ["6259"]}, "rejected_source": {"id": "JKHY/2010/page_50.pdf-2", "qa": {"question": "if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 2010?", "answer": "8077", "explanation": "", "ann_table_rows": [14], "ann_text_rows": [8], "steps": [{"op": "add2-1", "arg1": "7187", "arg2": "890", "res": "8077"}], "program": "add(7187, 890)", "gold_inds": {"table_14": "the balance at june 30 2010 of unrecognized tax benefits is $ 7187 ;", "text_8": "we had accrued interest and penalties of $ 890 and $ 732 related to uncertain tax positions at june 30 , 2010 and 2009 , respectively ."}, "exe_ans": 8077.0, "tfidftopn": {"table_7": "The balance at june 30 2009 of unrecognized tax benefits is 5518 ;"}, "program_re": "add(7187, 890)", "model_input": [["text_8", "we had accrued interest and penalties of $ 890 and $ 732 related to uncertain tax positions at june 30 , 2010 and 2009 , respectively ."], ["table_7", "the balance at june 30 2009 of unrecognized tax benefits is 5518 ;"], ["table_14", "the balance at june 30 2010 of unrecognized tax benefits is $ 7187 ;"]]}, "answers": ["8077"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001166", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "8077.", "rejected": "6259.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JKHY || if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 <TIME>?", "doc_prefix": "JKHY", "base_question": "if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 <TIME>?", "original_question": "if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6259": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "8077": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "JKHY/2010/page_50.pdf-2", "qa": {"question": "if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 2010?", "answer": "8077", "explanation": "", "ann_table_rows": [14], "ann_text_rows": [8], "steps": [{"op": "add2-1", "arg1": "7187", "arg2": "890", "res": "8077"}], "program": "add(7187, 890)", "gold_inds": {"table_14": "the balance at june 30 2010 of unrecognized tax benefits is $ 7187 ;", "text_8": "we had accrued interest and penalties of $ 890 and $ 732 related to uncertain tax positions at june 30 , 2010 and 2009 , respectively ."}, "exe_ans": 8077.0, "tfidftopn": {"table_7": "The balance at june 30 2009 of unrecognized tax benefits is 5518 ;"}, "program_re": "add(7187, 890)", "model_input": [["text_8", "we had accrued interest and penalties of $ 890 and $ 732 related to uncertain tax positions at june 30 , 2010 and 2009 , respectively ."], ["table_7", "the balance at june 30 2009 of unrecognized tax benefits is 5518 ;"], ["table_14", "the balance at june 30 2010 of unrecognized tax benefits is $ 7187 ;"]]}, "answers": ["8077"]}, "rejected_source": {"id": "JKHY/2010/page_50.pdf-1", "qa": {"question": "if the companies accounting policy were to include accrued interest and penalties in utp , what would the balance be as of at june 30 2009?", "answer": "6259", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [8], "steps": [{"op": "add1-1", "arg1": "5518", "arg2": "732", "res": "6250"}], "program": "add(5518, 732)", "gold_inds": {"table_7": "the balance at june 30 2009 of unrecognized tax benefits is 5518 ;", "text_8": "we had accrued interest and penalties of $ 890 and $ 732 related to uncertain tax positions at june 30 , 2010 and 2009 , respectively ."}, "exe_ans": 6250.0, "tfidftopn": {"table_14": "The balance at june 30 2010 of unrecognized tax benefits is $ 7187 ;"}, "program_re": "add(5518, 732)", "model_input": [["text_8", "we had accrued interest and penalties of $ 890 and $ 732 related to uncertain tax positions at june 30 , 2010 and 2009 , respectively ."], ["table_7", "the balance at june 30 2009 of unrecognized tax benefits is 5518 ;"], ["table_14", "the balance at june 30 2010 of unrecognized tax benefits is $ 7187 ;"]]}, "answers": ["6259"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001167", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in projected payments from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-17.5%.", "rejected": "20.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what is the growth rate in projected payments <TIME>?", "doc_prefix": "FIS", "base_question": "what is the growth rate in projected payments <TIME>?", "original_question": "what is the growth rate in projected payments from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20.9%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "-17.5%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "FIS/2007/page_102.pdf-2", "qa": {"question": "what is the growth rate in projected payments from 2009 to 2010?", "answer": "-17.5%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "978", "arg2": "1185", "res": "-207"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1185", "res": "-17.5%"}], "program": "subtract(978, 1185), divide(#0, 1185)", "gold_inds": {"table_1": "2008 the 2009 of $ 980 is 1185 ;", "table_2": "2008 the 2010 of $ 980 is 978 ;"}, "exe_ans": -0.17468, "tfidftopn": {"text_0": "projected payments relating to these liabilities for the next five years ending december 31 , 2012 and the period from 2013 to 2017 are as follows ( in thousands ) : ."}, "program_re": "divide(subtract(978, 1185), 1185)", "model_input": [["text_0", "projected payments relating to these liabilities for the next five years ending december 31 , 2012 and the period from 2013 to 2017 are as follows ( in thousands ) : ."], ["table_1", "2008 the 2009 of $ 980 is 1185 ;"], ["table_2", "2008 the 2010 of $ 980 is 978 ;"]]}, "answers": ["-17.5%"]}, "rejected_source": {"id": "FIS/2007/page_102.pdf-1", "qa": {"question": "what is the growth rate in projected payments from 2008 to 2009?", "answer": "20.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1185", "arg2": "980", "res": "205"}, {"op": "divide1-2", "arg1": "#0", "arg2": "980", "res": "20.9%"}], "program": "subtract(1185, 980), divide(#0, 980)", "gold_inds": {"table_1": "2008 the 2009 of $ 980 is 1185 ;"}, "exe_ans": 0.20918, "tfidftopn": {"text_0": "projected payments relating to these liabilities for the next five years ending december 31 , 2012 and the period from 2013 to 2017 are as follows ( in thousands ) : .", "table_4": "2008 The 2012 of $ 980 is 1425 ;"}, "program_re": "divide(subtract(1185, 980), 980)", "model_input": [["text_0", "projected payments relating to these liabilities for the next five years ending december 31 , 2012 and the period from 2013 to 2017 are as follows ( in thousands ) : ."], ["table_0", "2008 the 2008 of $ 980 is $ 980 ;"], ["table_1", "2008 the 2009 of $ 980 is 1185 ;"]]}, "answers": ["20.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001168", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in projected payments from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "20.9%.", "rejected": "-17.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "FIS || what is the growth rate in projected payments <TIME>?", "doc_prefix": "FIS", "base_question": "what is the growth rate in projected payments <TIME>?", "original_question": "what is the growth rate in projected payments from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20.9%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "-17.5%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "FIS/2007/page_102.pdf-1", "qa": {"question": "what is the growth rate in projected payments from 2008 to 2009?", "answer": "20.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1185", "arg2": "980", "res": "205"}, {"op": "divide1-2", "arg1": "#0", "arg2": "980", "res": "20.9%"}], "program": "subtract(1185, 980), divide(#0, 980)", "gold_inds": {"table_1": "2008 the 2009 of $ 980 is 1185 ;"}, "exe_ans": 0.20918, "tfidftopn": {"text_0": "projected payments relating to these liabilities for the next five years ending december 31 , 2012 and the period from 2013 to 2017 are as follows ( in thousands ) : .", "table_4": "2008 The 2012 of $ 980 is 1425 ;"}, "program_re": "divide(subtract(1185, 980), 980)", "model_input": [["text_0", "projected payments relating to these liabilities for the next five years ending december 31 , 2012 and the period from 2013 to 2017 are as follows ( in thousands ) : ."], ["table_0", "2008 the 2008 of $ 980 is $ 980 ;"], ["table_1", "2008 the 2009 of $ 980 is 1185 ;"]]}, "answers": ["20.9%"]}, "rejected_source": {"id": "FIS/2007/page_102.pdf-2", "qa": {"question": "what is the growth rate in projected payments from 2009 to 2010?", "answer": "-17.5%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "978", "arg2": "1185", "res": "-207"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1185", "res": "-17.5%"}], "program": "subtract(978, 1185), divide(#0, 1185)", "gold_inds": {"table_1": "2008 the 2009 of $ 980 is 1185 ;", "table_2": "2008 the 2010 of $ 980 is 978 ;"}, "exe_ans": -0.17468, "tfidftopn": {"text_0": "projected payments relating to these liabilities for the next five years ending december 31 , 2012 and the period from 2013 to 2017 are as follows ( in thousands ) : ."}, "program_re": "divide(subtract(978, 1185), 1185)", "model_input": [["text_0", "projected payments relating to these liabilities for the next five years ending december 31 , 2012 and the period from 2013 to 2017 are as follows ( in thousands ) : ."], ["table_1", "2008 the 2009 of $ 980 is 1185 ;"], ["table_2", "2008 the 2010 of $ 980 is 978 ;"]]}, "answers": ["-17.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001169", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the income before tax in 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "4448.6.", "rejected": "4574.3.", "meta": {"dataset": "finqa", "split": "train", "group_key": "L || what is the income before tax <TIME>?", "doc_prefix": "L", "base_question": "what is the income before tax <TIME>?", "original_question": "what is the income before tax in 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4448.6": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "4574.3": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "L/2007/page_213.pdf-3", "qa": {"question": "what is the income before tax in 2006?", "answer": "4448.6", "explanation": "", "ann_table_rows": [], "ann_text_rows": [28, 29], "steps": [{"op": "divide2-1", "arg1": "1557", "arg2": "35%", "res": "4448.6"}], "program": "divide(1557, 35%)", "gold_inds": {"text_28": "total income tax expense for the years ended december 31 , 2007 , 2006 and 2005 , was different than the amounts of $ 1601 million , $ 1557 million and $ 639 million , computed by applying the statutory u.s .", "text_29": "federal income tax rate of 35% ( 35 % ) to income before income taxes and minority interest for each of the years. ."}, "exe_ans": 4448.57143, "tfidftopn": {"text_1": "income taxes 2013 ( continued ) the federal income tax return for 2006 is subject to examination by the irs ."}, "program_re": "divide(1557, 35%)", "model_input": [["table_6", "balance january 1 2007 the balance december 31 2007 of $ 70 is $ 53 ;"], ["text_28", "total income tax expense for the years ended december 31 , 2007 , 2006 and 2005 , was different than the amounts of $ 1601 million , $ 1557 million and $ 639 million , computed by applying the statutory u.s ."], ["text_29", "federal income tax rate of 35% ( 35 % ) to income before income taxes and minority interest for each of the years. ."]]}, "answers": ["4448.6"]}, "rejected_source": {"id": "L/2007/page_213.pdf-2", "qa": {"question": "what is the income before tax in 2007?", "answer": "4574.3", "explanation": "", "ann_table_rows": [], "ann_text_rows": [28, 29], "steps": [{"op": "divide1-1", "arg1": "1601", "arg2": "35%", "res": "4574.3"}], "program": "divide(1601, 35%)", "gold_inds": {"text_28": "total income tax expense for the years ended december 31 , 2007 , 2006 and 2005 , was different than the amounts of $ 1601 million , $ 1557 million and $ 639 million , computed by applying the statutory u.s .", "text_29": "federal income tax rate of 35% ( 35 % ) to income before income taxes and minority interest for each of the years. ."}, "exe_ans": 4574.28571, "tfidftopn": {"text_18": "the company recognizes penalties in income tax expense ( benefit ) on the consolidated statements of income ."}, "program_re": "divide(1601, 35%)", "model_input": [["table_6", "balance january 1 2007 the balance december 31 2007 of $ 70 is $ 53 ;"], ["text_28", "total income tax expense for the years ended december 31 , 2007 , 2006 and 2005 , was different than the amounts of $ 1601 million , $ 1557 million and $ 639 million , computed by applying the statutory u.s ."], ["text_29", "federal income tax rate of 35% ( 35 % ) to income before income taxes and minority interest for each of the years. ."]]}, "answers": ["4574.3"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001170", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the income before tax in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "4574.3.", "rejected": "4448.6.", "meta": {"dataset": "finqa", "split": "train", "group_key": "L || what is the income before tax <TIME>?", "doc_prefix": "L", "base_question": "what is the income before tax <TIME>?", "original_question": "what is the income before tax in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4448.6": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "4574.3": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "L/2007/page_213.pdf-2", "qa": {"question": "what is the income before tax in 2007?", "answer": "4574.3", "explanation": "", "ann_table_rows": [], "ann_text_rows": [28, 29], "steps": [{"op": "divide1-1", "arg1": "1601", "arg2": "35%", "res": "4574.3"}], "program": "divide(1601, 35%)", "gold_inds": {"text_28": "total income tax expense for the years ended december 31 , 2007 , 2006 and 2005 , was different than the amounts of $ 1601 million , $ 1557 million and $ 639 million , computed by applying the statutory u.s .", "text_29": "federal income tax rate of 35% ( 35 % ) to income before income taxes and minority interest for each of the years. ."}, "exe_ans": 4574.28571, "tfidftopn": {"text_18": "the company recognizes penalties in income tax expense ( benefit ) on the consolidated statements of income ."}, "program_re": "divide(1601, 35%)", "model_input": [["table_6", "balance january 1 2007 the balance december 31 2007 of $ 70 is $ 53 ;"], ["text_28", "total income tax expense for the years ended december 31 , 2007 , 2006 and 2005 , was different than the amounts of $ 1601 million , $ 1557 million and $ 639 million , computed by applying the statutory u.s ."], ["text_29", "federal income tax rate of 35% ( 35 % ) to income before income taxes and minority interest for each of the years. ."]]}, "answers": ["4574.3"]}, "rejected_source": {"id": "L/2007/page_213.pdf-3", "qa": {"question": "what is the income before tax in 2006?", "answer": "4448.6", "explanation": "", "ann_table_rows": [], "ann_text_rows": [28, 29], "steps": [{"op": "divide2-1", "arg1": "1557", "arg2": "35%", "res": "4448.6"}], "program": "divide(1557, 35%)", "gold_inds": {"text_28": "total income tax expense for the years ended december 31 , 2007 , 2006 and 2005 , was different than the amounts of $ 1601 million , $ 1557 million and $ 639 million , computed by applying the statutory u.s .", "text_29": "federal income tax rate of 35% ( 35 % ) to income before income taxes and minority interest for each of the years. ."}, "exe_ans": 4448.57143, "tfidftopn": {"text_1": "income taxes 2013 ( continued ) the federal income tax return for 2006 is subject to examination by the irs ."}, "program_re": "divide(1557, 35%)", "model_input": [["table_6", "balance january 1 2007 the balance december 31 2007 of $ 70 is $ 53 ;"], ["text_28", "total income tax expense for the years ended december 31 , 2007 , 2006 and 2005 , was different than the amounts of $ 1601 million , $ 1557 million and $ 639 million , computed by applying the statutory u.s ."], ["text_29", "federal income tax rate of 35% ( 35 % ) to income before income taxes and minority interest for each of the years. ."]]}, "answers": ["4448.6"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001171", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total number of sites acquired and constructed during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "14970.", "rejected": "8450.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total number of sites acquired and constructed <TIME>?", "doc_prefix": "AMT", "base_question": "what is the total number of sites acquired and constructed <TIME>?", "original_question": "what is the total number of sites acquired and constructed during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8450": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "14970": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AMT/2015/page_58.pdf-3", "qa": {"question": "what is the total number of sites acquired and constructed during 2015?", "answer": "14970", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "11595", "arg2": "2330", "res": "3525"}, {"op": "add1-2", "arg1": "#0", "arg2": "4910", "res": "8435"}, {"op": "add1-3", "arg1": "#1", "arg2": "6535", "res": "14970"}], "program": "add(11595, 2330), add(#0, 4910), add(#1, 6535)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ; the u.s . of 2013 is 5260 ;", "table_2": "new sites ( acquired or constructed ) the asia of 2015 is 2330 ; the asia of 2014 is 1560 ; the asia of 2013 is 1260 ;", "table_3": "new sites ( acquired or constructed ) the emea of 2015 is 4910 ; the emea of 2014 is 190 ; the emea of 2013 is 485 ;", "table_4": "new sites ( acquired or constructed ) the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ; the latin america of 2013 is 6065 ;"}, "exe_ans": 25370.0, "tfidftopn": {}, "program_re": "add(add(add(11595, 2330), 4910), 6535)", "model_input": [["table_1", "new sites ( acquired or constructed ) the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ; the u.s . of 2013 is 5260 ;"], ["table_2", "new sites ( acquired or constructed ) the asia of 2015 is 2330 ; the asia of 2014 is 1560 ; the asia of 2013 is 1260 ;"], ["table_3", "new sites ( acquired or constructed ) the emea of 2015 is 4910 ; the emea of 2014 is 190 ; the emea of 2013 is 485 ;"], ["table_4", "new sites ( acquired or constructed ) the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ; the latin america of 2013 is 6065 ;"]]}, "answers": ["14970"]}, "rejected_source": {"id": "AMT/2015/page_58.pdf-2", "qa": {"question": "what is the total number of sites acquired and constructed during 2014?", "answer": "8450", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "900", "arg2": "1560", "res": "2460"}, {"op": "add2-2", "arg1": "#0", "arg2": "190", "res": "2650"}, {"op": "add2-3", "arg1": "#1", "arg2": "5800", "res": "8450"}], "program": "add(900, 1560), add(#0, 190), add(#1, 5800)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ; the u.s . of 2013 is 5260 ;", "table_2": "new sites ( acquired or constructed ) the asia of 2015 is 2330 ; the asia of 2014 is 1560 ; the asia of 2013 is 1260 ;", "table_3": "new sites ( acquired or constructed ) the emea of 2015 is 4910 ; the emea of 2014 is 190 ; the emea of 2013 is 485 ;", "table_4": "new sites ( acquired or constructed ) the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ; the latin america of 2013 is 6065 ;"}, "exe_ans": 8450.0, "tfidftopn": {}, "program_re": "add(add(add(900, 1560), 190), 5800)", "model_input": [["table_1", "new sites ( acquired or constructed ) the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ; the u.s . of 2013 is 5260 ;"], ["table_2", "new sites ( acquired or constructed ) the asia of 2015 is 2330 ; the asia of 2014 is 1560 ; the asia of 2013 is 1260 ;"], ["table_3", "new sites ( acquired or constructed ) the emea of 2015 is 4910 ; the emea of 2014 is 190 ; the emea of 2013 is 485 ;"], ["table_4", "new sites ( acquired or constructed ) the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ; the latin america of 2013 is 6065 ;"]]}, "answers": ["8450"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001172", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total number of sites acquired and constructed during 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "8450.", "rejected": "14970.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total number of sites acquired and constructed <TIME>?", "doc_prefix": "AMT", "base_question": "what is the total number of sites acquired and constructed <TIME>?", "original_question": "what is the total number of sites acquired and constructed during 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8450": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "14970": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "AMT/2015/page_58.pdf-2", "qa": {"question": "what is the total number of sites acquired and constructed during 2014?", "answer": "8450", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "900", "arg2": "1560", "res": "2460"}, {"op": "add2-2", "arg1": "#0", "arg2": "190", "res": "2650"}, {"op": "add2-3", "arg1": "#1", "arg2": "5800", "res": "8450"}], "program": "add(900, 1560), add(#0, 190), add(#1, 5800)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ; the u.s . of 2013 is 5260 ;", "table_2": "new sites ( acquired or constructed ) the asia of 2015 is 2330 ; the asia of 2014 is 1560 ; the asia of 2013 is 1260 ;", "table_3": "new sites ( acquired or constructed ) the emea of 2015 is 4910 ; the emea of 2014 is 190 ; the emea of 2013 is 485 ;", "table_4": "new sites ( acquired or constructed ) the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ; the latin america of 2013 is 6065 ;"}, "exe_ans": 8450.0, "tfidftopn": {}, "program_re": "add(add(add(900, 1560), 190), 5800)", "model_input": [["table_1", "new sites ( acquired or constructed ) the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ; the u.s . of 2013 is 5260 ;"], ["table_2", "new sites ( acquired or constructed ) the asia of 2015 is 2330 ; the asia of 2014 is 1560 ; the asia of 2013 is 1260 ;"], ["table_3", "new sites ( acquired or constructed ) the emea of 2015 is 4910 ; the emea of 2014 is 190 ; the emea of 2013 is 485 ;"], ["table_4", "new sites ( acquired or constructed ) the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ; the latin america of 2013 is 6065 ;"]]}, "answers": ["8450"]}, "rejected_source": {"id": "AMT/2015/page_58.pdf-3", "qa": {"question": "what is the total number of sites acquired and constructed during 2015?", "answer": "14970", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "11595", "arg2": "2330", "res": "3525"}, {"op": "add1-2", "arg1": "#0", "arg2": "4910", "res": "8435"}, {"op": "add1-3", "arg1": "#1", "arg2": "6535", "res": "14970"}], "program": "add(11595, 2330), add(#0, 4910), add(#1, 6535)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ; the u.s . of 2013 is 5260 ;", "table_2": "new sites ( acquired or constructed ) the asia of 2015 is 2330 ; the asia of 2014 is 1560 ; the asia of 2013 is 1260 ;", "table_3": "new sites ( acquired or constructed ) the emea of 2015 is 4910 ; the emea of 2014 is 190 ; the emea of 2013 is 485 ;", "table_4": "new sites ( acquired or constructed ) the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ; the latin america of 2013 is 6065 ;"}, "exe_ans": 25370.0, "tfidftopn": {}, "program_re": "add(add(add(11595, 2330), 4910), 6535)", "model_input": [["table_1", "new sites ( acquired or constructed ) the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ; the u.s . of 2013 is 5260 ;"], ["table_2", "new sites ( acquired or constructed ) the asia of 2015 is 2330 ; the asia of 2014 is 1560 ; the asia of 2013 is 1260 ;"], ["table_3", "new sites ( acquired or constructed ) the emea of 2015 is 4910 ; the emea of 2014 is 190 ; the emea of 2013 is 485 ;"], ["table_4", "new sites ( acquired or constructed ) the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ; the latin america of 2013 is 6065 ;"]]}, "answers": ["14970"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001173", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of capital spending from continuing operations was from the printing papers segment in 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "50%.", "rejected": "57%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of capital spending from continuing operations was from the printing papers segment <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of capital spending from continuing operations was from the printing papers segment <TIME>?", "original_question": "what percentage of capital spending from continuing operations was from the printing papers segment in 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"50%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "57%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "IP/2005/page_32.pdf-2", "qa": {"question": "what percentage of capital spending from continuing operations was from the printing papers segment in 2004?", "answer": "50%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "590", "arg2": "1176", "res": "50%"}], "program": "divide(590, 1176)", "gold_inds": {"table_1": "in millions the printing papers of 2005 is $ 658 ; the printing papers of 2004 is $ 590 ; the printing papers of 2003 is $ 482 ;", "table_9": "in millions the total from continuing operations of 2005 is $ 1155 ; the total from continuing operations of 2004 is $ 1176 ; the total from continuing operations of 2003 is $ 993 ;"}, "exe_ans": 0.5017, "tfidftopn": {"text_10": "the following table presents capital spending from continuing operations by each of our business segments for the years ended december 31 , 2005 , 2004 and 2003 ."}, "program_re": "divide(590, 1176)", "model_input": [["text_9", "investment activities capital spending from continuing operations was $ 1.2 billion in 2005 , or 84% ( 84 % ) of depreciation and amor- tization , comparable to the $ 1.2 billion , or 87% ( 87 % ) of depreciation and amortization in 2004 , and $ 1.0 billion , or 74% ( 74 % ) of depreciation and amortization in 2003 ."], ["table_1", "in millions the printing papers of 2005 is $ 658 ; the printing papers of 2004 is $ 590 ; the printing papers of 2003 is $ 482 ;"], ["table_9", "in millions the total from continuing operations of 2005 is $ 1155 ; the total from continuing operations of 2004 is $ 1176 ; the total from continuing operations of 2003 is $ 993 ;"]]}, "answers": ["50%"]}, "rejected_source": {"id": "IP/2005/page_32.pdf-1", "qa": {"question": "what percentage of capital spending from continuing operations was from the printing papers segment in 2005?", "answer": "57%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "658", "arg2": "1155", "res": "57%"}], "program": "divide(658, 1155)", "gold_inds": {"table_1": "in millions the printing papers of 2005 is $ 658 ; the printing papers of 2004 is $ 590 ; the printing papers of 2003 is $ 482 ;", "table_9": "in millions the total from continuing operations of 2005 is $ 1155 ; the total from continuing operations of 2004 is $ 1176 ; the total from continuing operations of 2003 is $ 993 ;"}, "exe_ans": 0.5697, "tfidftopn": {"text_10": "the following table presents capital spending from continuing operations by each of our business segments for the years ended december 31 , 2005 , 2004 and 2003 ."}, "program_re": "divide(658, 1155)", "model_input": [["text_9", "investment activities capital spending from continuing operations was $ 1.2 billion in 2005 , or 84% ( 84 % ) of depreciation and amor- tization , comparable to the $ 1.2 billion , or 87% ( 87 % ) of depreciation and amortization in 2004 , and $ 1.0 billion , or 74% ( 74 % ) of depreciation and amortization in 2003 ."], ["table_1", "in millions the printing papers of 2005 is $ 658 ; the printing papers of 2004 is $ 590 ; the printing papers of 2003 is $ 482 ;"], ["table_9", "in millions the total from continuing operations of 2005 is $ 1155 ; the total from continuing operations of 2004 is $ 1176 ; the total from continuing operations of 2003 is $ 993 ;"]]}, "answers": ["57%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001174", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of capital spending from continuing operations was from the printing papers segment in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "57%.", "rejected": "50%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of capital spending from continuing operations was from the printing papers segment <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of capital spending from continuing operations was from the printing papers segment <TIME>?", "original_question": "what percentage of capital spending from continuing operations was from the printing papers segment in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"50%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "57%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "IP/2005/page_32.pdf-1", "qa": {"question": "what percentage of capital spending from continuing operations was from the printing papers segment in 2005?", "answer": "57%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "658", "arg2": "1155", "res": "57%"}], "program": "divide(658, 1155)", "gold_inds": {"table_1": "in millions the printing papers of 2005 is $ 658 ; the printing papers of 2004 is $ 590 ; the printing papers of 2003 is $ 482 ;", "table_9": "in millions the total from continuing operations of 2005 is $ 1155 ; the total from continuing operations of 2004 is $ 1176 ; the total from continuing operations of 2003 is $ 993 ;"}, "exe_ans": 0.5697, "tfidftopn": {"text_10": "the following table presents capital spending from continuing operations by each of our business segments for the years ended december 31 , 2005 , 2004 and 2003 ."}, "program_re": "divide(658, 1155)", "model_input": [["text_9", "investment activities capital spending from continuing operations was $ 1.2 billion in 2005 , or 84% ( 84 % ) of depreciation and amor- tization , comparable to the $ 1.2 billion , or 87% ( 87 % ) of depreciation and amortization in 2004 , and $ 1.0 billion , or 74% ( 74 % ) of depreciation and amortization in 2003 ."], ["table_1", "in millions the printing papers of 2005 is $ 658 ; the printing papers of 2004 is $ 590 ; the printing papers of 2003 is $ 482 ;"], ["table_9", "in millions the total from continuing operations of 2005 is $ 1155 ; the total from continuing operations of 2004 is $ 1176 ; the total from continuing operations of 2003 is $ 993 ;"]]}, "answers": ["57%"]}, "rejected_source": {"id": "IP/2005/page_32.pdf-2", "qa": {"question": "what percentage of capital spending from continuing operations was from the printing papers segment in 2004?", "answer": "50%", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "590", "arg2": "1176", "res": "50%"}], "program": "divide(590, 1176)", "gold_inds": {"table_1": "in millions the printing papers of 2005 is $ 658 ; the printing papers of 2004 is $ 590 ; the printing papers of 2003 is $ 482 ;", "table_9": "in millions the total from continuing operations of 2005 is $ 1155 ; the total from continuing operations of 2004 is $ 1176 ; the total from continuing operations of 2003 is $ 993 ;"}, "exe_ans": 0.5017, "tfidftopn": {"text_10": "the following table presents capital spending from continuing operations by each of our business segments for the years ended december 31 , 2005 , 2004 and 2003 ."}, "program_re": "divide(590, 1176)", "model_input": [["text_9", "investment activities capital spending from continuing operations was $ 1.2 billion in 2005 , or 84% ( 84 % ) of depreciation and amor- tization , comparable to the $ 1.2 billion , or 87% ( 87 % ) of depreciation and amortization in 2004 , and $ 1.0 billion , or 74% ( 74 % ) of depreciation and amortization in 2003 ."], ["table_1", "in millions the printing papers of 2005 is $ 658 ; the printing papers of 2004 is $ 590 ; the printing papers of 2003 is $ 482 ;"], ["table_9", "in millions the total from continuing operations of 2005 is $ 1155 ; the total from continuing operations of 2004 is $ 1176 ; the total from continuing operations of 2003 is $ 993 ;"]]}, "answers": ["50%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001175", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "16%.", "rejected": "23%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due <TIME>?", "doc_prefix": "PKG", "base_question": "what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due <TIME>?", "original_question": "what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"23%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "16%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "PKG/2009/page_63.pdf-3", "qa": {"question": "what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due in 2012?", "answer": "16%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "17338", "arg2": "108052", "res": "16%"}], "program": "divide(17338, 108052)", "gold_inds": {"table_3": "the 2012 of ( in thousands ) is 17338 ;", "table_7": "the total of ( in thousands ) is $ 108052 ;"}, "exe_ans": 0.16046, "tfidftopn": {"text_14": "the minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are as follows: ."}, "program_re": "divide(17338, 108052)", "model_input": [["table_2", "the 2011 of ( in thousands ) is 25181 ;"], ["table_3", "the 2012 of ( in thousands ) is 17338 ;"], ["table_7", "the total of ( in thousands ) is $ 108052 ;"]]}, "answers": ["16%"]}, "rejected_source": {"id": "PKG/2009/page_63.pdf-1", "qa": {"question": "what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due in 2011?", "answer": "23%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "25181", "arg2": "108052", "res": "23%"}], "program": "divide(25181, 108052)", "gold_inds": {"table_1": "the 2010 of ( in thousands ) is $ 28162 ;", "table_7": "the total of ( in thousands ) is $ 108052 ;", "table_2": "the 2011 of ( in thousands ) is 25181 ;"}, "exe_ans": 0.23305, "tfidftopn": {}, "program_re": "divide(25181, 108052)", "model_input": [["table_1", "the 2010 of ( in thousands ) is $ 28162 ;"], ["table_2", "the 2011 of ( in thousands ) is 25181 ;"], ["table_7", "the total of ( in thousands ) is $ 108052 ;"]]}, "answers": ["23%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001176", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "23%.", "rejected": "16%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due <TIME>?", "doc_prefix": "PKG", "base_question": "what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due <TIME>?", "original_question": "what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"23%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "16%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "PKG/2009/page_63.pdf-1", "qa": {"question": "what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due in 2011?", "answer": "23%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "25181", "arg2": "108052", "res": "23%"}], "program": "divide(25181, 108052)", "gold_inds": {"table_1": "the 2010 of ( in thousands ) is $ 28162 ;", "table_7": "the total of ( in thousands ) is $ 108052 ;", "table_2": "the 2011 of ( in thousands ) is 25181 ;"}, "exe_ans": 0.23305, "tfidftopn": {}, "program_re": "divide(25181, 108052)", "model_input": [["table_1", "the 2010 of ( in thousands ) is $ 28162 ;"], ["table_2", "the 2011 of ( in thousands ) is 25181 ;"], ["table_7", "the total of ( in thousands ) is $ 108052 ;"]]}, "answers": ["23%"]}, "rejected_source": {"id": "PKG/2009/page_63.pdf-3", "qa": {"question": "what percentage of total minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are due in 2012?", "answer": "16%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "17338", "arg2": "108052", "res": "16%"}], "program": "divide(17338, 108052)", "gold_inds": {"table_3": "the 2012 of ( in thousands ) is 17338 ;", "table_7": "the total of ( in thousands ) is $ 108052 ;"}, "exe_ans": 0.16046, "tfidftopn": {"text_14": "the minimum lease payments under non-cancelable operating leases with lease terms in excess of one year are as follows: ."}, "program_re": "divide(17338, 108052)", "model_input": [["table_2", "the 2011 of ( in thousands ) is 25181 ;"], ["table_3", "the 2012 of ( in thousands ) is 17338 ;"], ["table_7", "the total of ( in thousands ) is $ 108052 ;"]]}, "answers": ["16%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001177", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of net derivative receivables were collateralized by other than cash in 2013?\\\\n\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "22.0%.", "rejected": "24.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percent of net derivative receivables were collateralized by other than cash <TIME>?\\\\n", "doc_prefix": "JPM", "base_question": "what percent of net derivative receivables were collateralized by other than cash <TIME>?\\\\n", "original_question": "what percent of net derivative receivables were collateralized by other than cash in 2013?\\\\n", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"22.0%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "24.8%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "JPM/2014/page_127.pdf-5", "qa": {"question": "what percent of net derivative receivables were collateralized by other than cash in 2013?\\\\n", "answer": "22.0%", "explanation": "", "ann_table_rows": [6, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "14435", "arg2": "65759", "res": "22.0%"}], "program": "divide(14435, 65759)", "gold_inds": {"table_6": "december 31 ( in millions ) the total net of cash collateral of 2014 is 78975 ; the total net of cash collateral of 2013 is 65759 ;", "table_7": "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; the liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"}, "exe_ans": 0.21951, "tfidftopn": {"text_18": "derivative receivables ."}, "program_re": "divide(14435, 65759)", "model_input": [["table_6", "december 31 ( in millions ) the total net of cash collateral of 2014 is 78975 ; the total net of cash collateral of 2013 is 65759 ;"], ["table_7", "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; the liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"], ["table_8", "december 31 ( in millions ) the total net of all collateral of 2014 is $ 59371 ; the total net of all collateral of 2013 is $ 51324 ;"]]}, "answers": ["22.0%"]}, "rejected_source": {"id": "JPM/2014/page_127.pdf-4", "qa": {"question": "what percent of net derivative receivables were collateralized by other than cash in 2014?\\\\n", "answer": "24.8%", "explanation": "", "ann_table_rows": [6, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "19604", "arg2": "78975", "res": "24.8%"}], "program": "divide(19604, 78975)", "gold_inds": {"table_6": "december 31 ( in millions ) the total net of cash collateral of 2014 is 78975 ; the total net of cash collateral of 2013 is 65759 ;", "table_7": "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; the liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"}, "exe_ans": 0.24823, "tfidftopn": {"text_18": "derivative receivables ."}, "program_re": "divide(19604, 78975)", "model_input": [["table_6", "december 31 ( in millions ) the total net of cash collateral of 2014 is 78975 ; the total net of cash collateral of 2013 is 65759 ;"], ["table_7", "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; the liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"], ["table_8", "december 31 ( in millions ) the total net of all collateral of 2014 is $ 59371 ; the total net of all collateral of 2013 is $ 51324 ;"]]}, "answers": ["24.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001178", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of net derivative receivables were collateralized by other than cash in 2014?\\\\n\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "24.8%.", "rejected": "22.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what percent of net derivative receivables were collateralized by other than cash <TIME>?\\\\n", "doc_prefix": "JPM", "base_question": "what percent of net derivative receivables were collateralized by other than cash <TIME>?\\\\n", "original_question": "what percent of net derivative receivables were collateralized by other than cash in 2014?\\\\n", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"22.0%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "24.8%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "JPM/2014/page_127.pdf-4", "qa": {"question": "what percent of net derivative receivables were collateralized by other than cash in 2014?\\\\n", "answer": "24.8%", "explanation": "", "ann_table_rows": [6, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "19604", "arg2": "78975", "res": "24.8%"}], "program": "divide(19604, 78975)", "gold_inds": {"table_6": "december 31 ( in millions ) the total net of cash collateral of 2014 is 78975 ; the total net of cash collateral of 2013 is 65759 ;", "table_7": "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; the liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"}, "exe_ans": 0.24823, "tfidftopn": {"text_18": "derivative receivables ."}, "program_re": "divide(19604, 78975)", "model_input": [["table_6", "december 31 ( in millions ) the total net of cash collateral of 2014 is 78975 ; the total net of cash collateral of 2013 is 65759 ;"], ["table_7", "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; the liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"], ["table_8", "december 31 ( in millions ) the total net of all collateral of 2014 is $ 59371 ; the total net of all collateral of 2013 is $ 51324 ;"]]}, "answers": ["24.8%"]}, "rejected_source": {"id": "JPM/2014/page_127.pdf-5", "qa": {"question": "what percent of net derivative receivables were collateralized by other than cash in 2013?\\\\n", "answer": "22.0%", "explanation": "", "ann_table_rows": [6, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "14435", "arg2": "65759", "res": "22.0%"}], "program": "divide(14435, 65759)", "gold_inds": {"table_6": "december 31 ( in millions ) the total net of cash collateral of 2014 is 78975 ; the total net of cash collateral of 2013 is 65759 ;", "table_7": "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; the liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"}, "exe_ans": 0.21951, "tfidftopn": {"text_18": "derivative receivables ."}, "program_re": "divide(14435, 65759)", "model_input": [["table_6", "december 31 ( in millions ) the total net of cash collateral of 2014 is 78975 ; the total net of cash collateral of 2013 is 65759 ;"], ["table_7", "december 31 ( in millions ) the liquid securities and other cash collateral held against derivative receivables of 2014 is -19604 ( 19604 ) ; the liquid securities and other cash collateral held against derivative receivables of 2013 is -14435 ( 14435 ) ;"], ["table_8", "december 31 ( in millions ) the total net of all collateral of 2014 is $ 59371 ; the total net of all collateral of 2013 is $ 51324 ;"]]}, "answers": ["22.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001179", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage where brazilian papers net sales of printing papers sales in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "18%.", "rejected": "19%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage where brazilian papers net sales of printing papers sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage where brazilian papers net sales of printing papers sales <TIME>?", "original_question": "what percentage where brazilian papers net sales of printing papers sales in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "19%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "IP/2014/page_65.pdf-2", "qa": {"question": "what percentage where brazilian papers net sales of printing papers sales in 2013?", "answer": "18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [24], "steps": [{"op": "multiply2-1", "arg1": "1.1", "arg2": "const_1000", "res": "1100"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6205", "res": "18%"}], "program": "multiply(1.1, const_1000), divide(#0, 6205)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ;", "text_24": "brazilian papers net sales for 2014 were $ 1.1 billion compared with $ 1.1 billion in 2013 and $ 1.1 billion in 2012 ."}, "exe_ans": 0.17728, "tfidftopn": {"text_12": "printing papers ."}, "program_re": "divide(multiply(1.1, const_1000), 6205)", "model_input": [["table_1", "in millions the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ;"], ["text_13", "north american printing papers net sales were $ 2.1 billion in 2014 , $ 2.6 billion in 2013 and $ 2.7 billion in 2012 ."], ["text_24", "brazilian papers net sales for 2014 were $ 1.1 billion compared with $ 1.1 billion in 2013 and $ 1.1 billion in 2012 ."]]}, "answers": ["18%"]}, "rejected_source": {"id": "IP/2014/page_65.pdf-1", "qa": {"question": "what percentage where brazilian papers net sales of printing papers sales in 2014?", "answer": "19%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [24], "steps": [{"op": "multiply1-1", "arg1": "1.1", "arg2": "const_1000", "res": "1100"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5720", "res": "19%"}], "program": "multiply(1.1, const_1000), divide(#0, 5720)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ;", "text_24": "brazilian papers net sales for 2014 were $ 1.1 billion compared with $ 1.1 billion in 2013 and $ 1.1 billion in 2012 ."}, "exe_ans": 0.19231, "tfidftopn": {"text_12": "printing papers ."}, "program_re": "divide(multiply(1.1, const_1000), 5720)", "model_input": [["table_1", "in millions the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ;"], ["text_13", "north american printing papers net sales were $ 2.1 billion in 2014 , $ 2.6 billion in 2013 and $ 2.7 billion in 2012 ."], ["text_24", "brazilian papers net sales for 2014 were $ 1.1 billion compared with $ 1.1 billion in 2013 and $ 1.1 billion in 2012 ."]]}, "answers": ["19%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001180", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage where brazilian papers net sales of printing papers sales in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "19%.", "rejected": "18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage where brazilian papers net sales of printing papers sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage where brazilian papers net sales of printing papers sales <TIME>?", "original_question": "what percentage where brazilian papers net sales of printing papers sales in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "19%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "IP/2014/page_65.pdf-1", "qa": {"question": "what percentage where brazilian papers net sales of printing papers sales in 2014?", "answer": "19%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [24], "steps": [{"op": "multiply1-1", "arg1": "1.1", "arg2": "const_1000", "res": "1100"}, {"op": "divide1-2", "arg1": "#0", "arg2": "5720", "res": "19%"}], "program": "multiply(1.1, const_1000), divide(#0, 5720)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ;", "text_24": "brazilian papers net sales for 2014 were $ 1.1 billion compared with $ 1.1 billion in 2013 and $ 1.1 billion in 2012 ."}, "exe_ans": 0.19231, "tfidftopn": {"text_12": "printing papers ."}, "program_re": "divide(multiply(1.1, const_1000), 5720)", "model_input": [["table_1", "in millions the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ;"], ["text_13", "north american printing papers net sales were $ 2.1 billion in 2014 , $ 2.6 billion in 2013 and $ 2.7 billion in 2012 ."], ["text_24", "brazilian papers net sales for 2014 were $ 1.1 billion compared with $ 1.1 billion in 2013 and $ 1.1 billion in 2012 ."]]}, "answers": ["19%"]}, "rejected_source": {"id": "IP/2014/page_65.pdf-2", "qa": {"question": "what percentage where brazilian papers net sales of printing papers sales in 2013?", "answer": "18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [24], "steps": [{"op": "multiply2-1", "arg1": "1.1", "arg2": "const_1000", "res": "1100"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6205", "res": "18%"}], "program": "multiply(1.1, const_1000), divide(#0, 6205)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ;", "text_24": "brazilian papers net sales for 2014 were $ 1.1 billion compared with $ 1.1 billion in 2013 and $ 1.1 billion in 2012 ."}, "exe_ans": 0.17728, "tfidftopn": {"text_12": "printing papers ."}, "program_re": "divide(multiply(1.1, const_1000), 6205)", "model_input": [["table_1", "in millions the sales of 2014 is $ 5720 ; the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ;"], ["text_13", "north american printing papers net sales were $ 2.1 billion in 2014 , $ 2.6 billion in 2013 and $ 2.7 billion in 2012 ."], ["text_24", "brazilian papers net sales for 2014 were $ 1.1 billion compared with $ 1.1 billion in 2013 and $ 1.1 billion in 2012 ."]]}, "answers": ["18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001181", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-60.38%.", "rejected": "3.74%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAS || what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended <TIME>?", "doc_prefix": "MAS", "base_question": "what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended <TIME>?", "original_question": "what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-60.38%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "3.74%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "MAS/2010/page_29.pdf-3", "qa": {"question": "what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended 2010?", "answer": "-60.38%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [1], "steps": [{"op": "minus2-1", "arg1": "51.51", "arg2": "100", "res": "-48.49"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "-48.49%"}, {"op": "minus2-3", "arg1": "111.89", "arg2": "100", "res": "11.89"}, {"op": "divide2-4", "arg1": "#2", "arg2": "100", "res": "11.89%"}, {"op": "minus2-5", "arg1": "#1", "arg2": "#3", "res": "-60.38%"}], "program": "subtract(51.51, 100), divide(#0, 100), subtract(111.89, 100), divide(#2, 100), subtract(#1, #3)", "gold_inds": {"table_1": "the masco of 2006 is $ 101.79 ; the masco of 2007 is $ 76.74 ; the masco of 2008 is $ 42.81 ; the masco of 2009 is $ 54.89 ; the masco of 2010 is $ 51.51 ;", "table_2": "the s&p 500 index of 2006 is $ 115.61 ; the s&p 500 index of 2007 is $ 121.95 ; the s&p 500 index of 2008 is $ 77.38 ; the s&p 500 index of 2009 is $ 97.44 ; the s&p 500 index of 2010 is $ 111.89 ;", "text_1": "the graph assumes investments of $ 100 on december 31 , 2005 in our common stock and in each of the three indices and the reinvestment of dividends ."}, "exe_ans": -0.6038, "tfidftopn": {}, "program_re": "subtract(divide(subtract(51.51, 100), 100), divide(subtract(111.89, 100), 100))", "model_input": [["text_1", "the graph assumes investments of $ 100 on december 31 , 2005 in our common stock and in each of the three indices and the reinvestment of dividends ."], ["table_1", "the masco of 2006 is $ 101.79 ; the masco of 2007 is $ 76.74 ; the masco of 2008 is $ 42.81 ; the masco of 2009 is $ 54.89 ; the masco of 2010 is $ 51.51 ;"], ["table_2", "the s&p 500 index of 2006 is $ 115.61 ; the s&p 500 index of 2007 is $ 121.95 ; the s&p 500 index of 2008 is $ 77.38 ; the s&p 500 index of 2009 is $ 97.44 ; the s&p 500 index of 2010 is $ 111.89 ;"]]}, "answers": ["-60.38%"]}, "rejected_source": {"id": "MAS/2013/page_27.pdf-3", "qa": {"question": "what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended 2013?", "answer": "3.74%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [1], "steps": [{"op": "minus2-1", "arg1": "229.59", "arg2": "100", "res": "129.59"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "129.59%"}, {"op": "minus2-3", "arg1": "225.85", "arg2": "100", "res": "125.85"}, {"op": "divide2-4", "arg1": "#2", "arg2": "100", "res": "125.85%"}, {"op": "minus2-5", "arg1": "#1", "arg2": "#3", "res": "3.74%"}], "program": "subtract(229.59, 100), divide(#0, 100), subtract(225.85, 100), divide(#2, 100), subtract(#1, #3)", "gold_inds": {"table_1": "the masco of 2009 is $ 128.21 ; the masco of 2010 is $ 120.32 ; the masco of 2011 is $ 102.45 ; the masco of 2012 is $ 165.80 ; the masco of 2013 is $ 229.59 ;", "table_2": "the s&p 500 index of 2009 is $ 125.92 ; the s&p 500 index of 2010 is $ 144.58 ; the s&p 500 index of 2011 is $ 147.60 ; the s&p 500 index of 2012 is $ 171.04 ; the s&p 500 index of 2013 is $ 225.85 ;", "text_1": "the graph assumes investments of $ 100 on december 31 , 2008 in our common stock and in each of the three indices and the reinvestment of dividends ."}, "exe_ans": 0.0374, "tfidftopn": {}, "program_re": "subtract(divide(subtract(229.59, 100), 100), divide(subtract(225.85, 100), 100))", "model_input": [["text_1", "the graph assumes investments of $ 100 on december 31 , 2008 in our common stock and in each of the three indices and the reinvestment of dividends ."], ["table_1", "the masco of 2009 is $ 128.21 ; the masco of 2010 is $ 120.32 ; the masco of 2011 is $ 102.45 ; the masco of 2012 is $ 165.80 ; the masco of 2013 is $ 229.59 ;"], ["table_2", "the s&p 500 index of 2009 is $ 125.92 ; the s&p 500 index of 2010 is $ 144.58 ; the s&p 500 index of 2011 is $ 147.60 ; the s&p 500 index of 2012 is $ 171.04 ; the s&p 500 index of 2013 is $ 225.85 ;"]]}, "answers": ["3.74%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001182", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "3.74%.", "rejected": "-60.38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAS || what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended <TIME>?", "doc_prefix": "MAS", "base_question": "what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended <TIME>?", "original_question": "what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-60.38%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "3.74%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "MAS/2013/page_27.pdf-3", "qa": {"question": "what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended 2013?", "answer": "3.74%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [1], "steps": [{"op": "minus2-1", "arg1": "229.59", "arg2": "100", "res": "129.59"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "129.59%"}, {"op": "minus2-3", "arg1": "225.85", "arg2": "100", "res": "125.85"}, {"op": "divide2-4", "arg1": "#2", "arg2": "100", "res": "125.85%"}, {"op": "minus2-5", "arg1": "#1", "arg2": "#3", "res": "3.74%"}], "program": "subtract(229.59, 100), divide(#0, 100), subtract(225.85, 100), divide(#2, 100), subtract(#1, #3)", "gold_inds": {"table_1": "the masco of 2009 is $ 128.21 ; the masco of 2010 is $ 120.32 ; the masco of 2011 is $ 102.45 ; the masco of 2012 is $ 165.80 ; the masco of 2013 is $ 229.59 ;", "table_2": "the s&p 500 index of 2009 is $ 125.92 ; the s&p 500 index of 2010 is $ 144.58 ; the s&p 500 index of 2011 is $ 147.60 ; the s&p 500 index of 2012 is $ 171.04 ; the s&p 500 index of 2013 is $ 225.85 ;", "text_1": "the graph assumes investments of $ 100 on december 31 , 2008 in our common stock and in each of the three indices and the reinvestment of dividends ."}, "exe_ans": 0.0374, "tfidftopn": {}, "program_re": "subtract(divide(subtract(229.59, 100), 100), divide(subtract(225.85, 100), 100))", "model_input": [["text_1", "the graph assumes investments of $ 100 on december 31 , 2008 in our common stock and in each of the three indices and the reinvestment of dividends ."], ["table_1", "the masco of 2009 is $ 128.21 ; the masco of 2010 is $ 120.32 ; the masco of 2011 is $ 102.45 ; the masco of 2012 is $ 165.80 ; the masco of 2013 is $ 229.59 ;"], ["table_2", "the s&p 500 index of 2009 is $ 125.92 ; the s&p 500 index of 2010 is $ 144.58 ; the s&p 500 index of 2011 is $ 147.60 ; the s&p 500 index of 2012 is $ 171.04 ; the s&p 500 index of 2013 is $ 225.85 ;"]]}, "answers": ["3.74%"]}, "rejected_source": {"id": "MAS/2010/page_29.pdf-3", "qa": {"question": "what was the difference in percentage cumulative total shareholder return on masco common stock versus the s&p 500 index for the five year period ended 2010?", "answer": "-60.38%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [1], "steps": [{"op": "minus2-1", "arg1": "51.51", "arg2": "100", "res": "-48.49"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "-48.49%"}, {"op": "minus2-3", "arg1": "111.89", "arg2": "100", "res": "11.89"}, {"op": "divide2-4", "arg1": "#2", "arg2": "100", "res": "11.89%"}, {"op": "minus2-5", "arg1": "#1", "arg2": "#3", "res": "-60.38%"}], "program": "subtract(51.51, 100), divide(#0, 100), subtract(111.89, 100), divide(#2, 100), subtract(#1, #3)", "gold_inds": {"table_1": "the masco of 2006 is $ 101.79 ; the masco of 2007 is $ 76.74 ; the masco of 2008 is $ 42.81 ; the masco of 2009 is $ 54.89 ; the masco of 2010 is $ 51.51 ;", "table_2": "the s&p 500 index of 2006 is $ 115.61 ; the s&p 500 index of 2007 is $ 121.95 ; the s&p 500 index of 2008 is $ 77.38 ; the s&p 500 index of 2009 is $ 97.44 ; the s&p 500 index of 2010 is $ 111.89 ;", "text_1": "the graph assumes investments of $ 100 on december 31 , 2005 in our common stock and in each of the three indices and the reinvestment of dividends ."}, "exe_ans": -0.6038, "tfidftopn": {}, "program_re": "subtract(divide(subtract(51.51, 100), 100), divide(subtract(111.89, 100), 100))", "model_input": [["text_1", "the graph assumes investments of $ 100 on december 31 , 2005 in our common stock and in each of the three indices and the reinvestment of dividends ."], ["table_1", "the masco of 2006 is $ 101.79 ; the masco of 2007 is $ 76.74 ; the masco of 2008 is $ 42.81 ; the masco of 2009 is $ 54.89 ; the masco of 2010 is $ 51.51 ;"], ["table_2", "the s&p 500 index of 2006 is $ 115.61 ; the s&p 500 index of 2007 is $ 121.95 ; the s&p 500 index of 2008 is $ 77.38 ; the s&p 500 index of 2009 is $ 97.44 ; the s&p 500 index of 2010 is $ 111.89 ;"]]}, "answers": ["-60.38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001183", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage sales change from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "24%.", "rejected": "39%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage sales change <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage sales change <TIME>?", "original_question": "what was the percentage sales change from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"39%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "24%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AAPL/2007/page_48.pdf-3", "qa": {"question": "what was the percentage sales change from 2006 to 2007?", "answer": "24%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "24006", "arg2": "19315", "res": "4691"}, {"op": "divide2-2", "arg1": "#0", "arg2": "19315", "res": "24%"}], "program": "subtract(24006, 19315), divide(#0, 19315)", "gold_inds": {"table_1": "the net sales of september 29 2007 is $ 24006 ; the net sales of september 30 2006 is $ 19315 ; the net sales of september 24 2005 is $ 13931 ;"}, "exe_ans": 0.24287, "tfidftopn": {"table_4": "The gross margin percentage of september 29 2007 is 34.0% ( 34.0 % ) ; The gross margin percentage of september 30 2006 is 29.0% ( 29.0 % ) ; The gross margin percentage of september 24 2005 is 29.0% ( 29.0 % ) ;", "text_9": "gross margin percentage of 34.0% ( 34.0 % ) in 2007 increased significantly from 29.0% ( 29.0 % ) in 2006 ."}, "program_re": "divide(subtract(24006, 19315), 19315)", "model_input": [["table_1", "the net sales of september 29 2007 is $ 24006 ; the net sales of september 30 2006 is $ 19315 ; the net sales of september 24 2005 is $ 13931 ;"], ["table_2", "the cost of sales of september 29 2007 is 15852 ; the cost of sales of september 30 2006 is 13717 ; the cost of sales of september 24 2005 is 9889 ;"], ["table_3", "the gross margin of september 29 2007 is $ 8154 ; the gross margin of september 30 2006 is $ 5598 ; the gross margin of september 24 2005 is $ 4042 ;"]]}, "answers": ["24%"]}, "rejected_source": {"id": "AAPL/2007/page_48.pdf-4", "qa": {"question": "what was the percentage sales change from 2005 to 2006?", "answer": "39%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "19315", "arg2": "13931", "res": "5384"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13931", "res": "39%"}], "program": "subtract(19315, 13931), divide(#0, 13931)", "gold_inds": {"table_1": "the net sales of september 29 2007 is $ 24006 ; the net sales of september 30 2006 is $ 19315 ; the net sales of september 24 2005 is $ 13931 ;"}, "exe_ans": 0.38648, "tfidftopn": {"table_4": "The gross margin percentage of september 29 2007 is 34.0% ( 34.0 % ) ; The gross margin percentage of september 30 2006 is 29.0% ( 29.0 % ) ; The gross margin percentage of september 24 2005 is 29.0% ( 29.0 % ) ;", "text_6": "during 2006 , net sales in other segments increased 35% ( 35 % ) compared to 2005 primarily due to an increase in sales of ipod and mac portable products ."}, "program_re": "divide(subtract(19315, 13931), 13931)", "model_input": [["text_8", "gross margin gross margin for each of the last three fiscal years are as follows ( in millions , except gross margin percentages ) : september 29 , september 30 , september 24 , 2007 2006 2005 ."], ["table_1", "the net sales of september 29 2007 is $ 24006 ; the net sales of september 30 2006 is $ 19315 ; the net sales of september 24 2005 is $ 13931 ;"], ["table_3", "the gross margin of september 29 2007 is $ 8154 ; the gross margin of september 30 2006 is $ 5598 ; the gross margin of september 24 2005 is $ 4042 ;"]]}, "answers": ["39%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001184", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage sales change from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "39%.", "rejected": "24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage sales change <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage sales change <TIME>?", "original_question": "what was the percentage sales change from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"39%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "24%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}]}, "chosen_source": {"id": "AAPL/2007/page_48.pdf-4", "qa": {"question": "what was the percentage sales change from 2005 to 2006?", "answer": "39%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "19315", "arg2": "13931", "res": "5384"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13931", "res": "39%"}], "program": "subtract(19315, 13931), divide(#0, 13931)", "gold_inds": {"table_1": "the net sales of september 29 2007 is $ 24006 ; the net sales of september 30 2006 is $ 19315 ; the net sales of september 24 2005 is $ 13931 ;"}, "exe_ans": 0.38648, "tfidftopn": {"table_4": "The gross margin percentage of september 29 2007 is 34.0% ( 34.0 % ) ; The gross margin percentage of september 30 2006 is 29.0% ( 29.0 % ) ; The gross margin percentage of september 24 2005 is 29.0% ( 29.0 % ) ;", "text_6": "during 2006 , net sales in other segments increased 35% ( 35 % ) compared to 2005 primarily due to an increase in sales of ipod and mac portable products ."}, "program_re": "divide(subtract(19315, 13931), 13931)", "model_input": [["text_8", "gross margin gross margin for each of the last three fiscal years are as follows ( in millions , except gross margin percentages ) : september 29 , september 30 , september 24 , 2007 2006 2005 ."], ["table_1", "the net sales of september 29 2007 is $ 24006 ; the net sales of september 30 2006 is $ 19315 ; the net sales of september 24 2005 is $ 13931 ;"], ["table_3", "the gross margin of september 29 2007 is $ 8154 ; the gross margin of september 30 2006 is $ 5598 ; the gross margin of september 24 2005 is $ 4042 ;"]]}, "answers": ["39%"]}, "rejected_source": {"id": "AAPL/2007/page_48.pdf-3", "qa": {"question": "what was the percentage sales change from 2006 to 2007?", "answer": "24%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "24006", "arg2": "19315", "res": "4691"}, {"op": "divide2-2", "arg1": "#0", "arg2": "19315", "res": "24%"}], "program": "subtract(24006, 19315), divide(#0, 19315)", "gold_inds": {"table_1": "the net sales of september 29 2007 is $ 24006 ; the net sales of september 30 2006 is $ 19315 ; the net sales of september 24 2005 is $ 13931 ;"}, "exe_ans": 0.24287, "tfidftopn": {"table_4": "The gross margin percentage of september 29 2007 is 34.0% ( 34.0 % ) ; The gross margin percentage of september 30 2006 is 29.0% ( 29.0 % ) ; The gross margin percentage of september 24 2005 is 29.0% ( 29.0 % ) ;", "text_9": "gross margin percentage of 34.0% ( 34.0 % ) in 2007 increased significantly from 29.0% ( 29.0 % ) in 2006 ."}, "program_re": "divide(subtract(24006, 19315), 19315)", "model_input": [["table_1", "the net sales of september 29 2007 is $ 24006 ; the net sales of september 30 2006 is $ 19315 ; the net sales of september 24 2005 is $ 13931 ;"], ["table_2", "the cost of sales of september 29 2007 is 15852 ; the cost of sales of september 30 2006 is 13717 ; the cost of sales of september 24 2005 is 9889 ;"], ["table_3", "the gross margin of september 29 2007 is $ 8154 ; the gross margin of september 30 2006 is $ 5598 ; the gross margin of september 24 2005 is $ 4042 ;"]]}, "answers": ["24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001185", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total number of new sites acquired and constructed during 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "45310.", "rejected": "6535.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total number of new sites acquired and constructed <TIME>?", "doc_prefix": "AMT", "base_question": "what is the total number of new sites acquired and constructed <TIME>?", "original_question": "what is the total number of new sites acquired and constructed during 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6535": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "45310": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "AMT/2016/page_57.pdf-2", "qa": {"question": "what is the total number of new sites acquired and constructed during 2016?", "answer": "45310", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "65", "arg2": "43865", "res": "43930"}, {"op": "add1-2", "arg1": "#0", "arg2": "665", "res": "44595"}, {"op": "add1-3", "arg1": "#1", "arg2": "715", "res": "45310"}], "program": "add(65, 43865), add(#0, 665), add(#1, 715)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the u.s . of 2016 is 65 ; the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ;", "table_2": "new sites ( acquired or constructed ) the asia of 2016 is 43865 ; the asia of 2015 is 2330 ; the asia of 2014 is 1560 ;", "table_3": "new sites ( acquired or constructed ) the emea of 2016 is 665 ; the emea of 2015 is 4910 ; the emea of 2014 is 190 ;", "table_4": "new sites ( acquired or constructed ) the latin america of 2016 is 715 ; the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ;"}, "exe_ans": 45310.0, "tfidftopn": {}, "program_re": "add(add(add(65, 43865), 665), 715)", "model_input": [["table_1", "new sites ( acquired or constructed ) the u.s . of 2016 is 65 ; the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ;"], ["table_2", "new sites ( acquired or constructed ) the asia of 2016 is 43865 ; the asia of 2015 is 2330 ; the asia of 2014 is 1560 ;"], ["table_3", "new sites ( acquired or constructed ) the emea of 2016 is 665 ; the emea of 2015 is 4910 ; the emea of 2014 is 190 ;"], ["table_4", "new sites ( acquired or constructed ) the latin america of 2016 is 715 ; the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ;"]]}, "answers": ["45310"]}, "rejected_source": {"id": "AMT/2016/page_57.pdf-3", "qa": {"question": "what is the total number of new sites acquired and constructed during 2015?", "answer": "6535", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "11595", "arg2": "2330", "res": "13925"}, {"op": "add2-2", "arg1": "#0", "arg2": "4910", "res": "18835"}, {"op": "add2-3", "arg1": "#1", "arg2": "6535", "res": "25370"}], "program": "add(11595, 2330), add(#0, 4910), add(#1, 6535)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the u.s . of 2016 is 65 ; the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ;", "table_2": "new sites ( acquired or constructed ) the asia of 2016 is 43865 ; the asia of 2015 is 2330 ; the asia of 2014 is 1560 ;", "table_3": "new sites ( acquired or constructed ) the emea of 2016 is 665 ; the emea of 2015 is 4910 ; the emea of 2014 is 190 ;", "table_4": "new sites ( acquired or constructed ) the latin america of 2016 is 715 ; the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ;"}, "exe_ans": 25370.0, "tfidftopn": {}, "program_re": "add(add(add(11595, 2330), 4910), 6535)", "model_input": [["table_1", "new sites ( acquired or constructed ) the u.s . of 2016 is 65 ; the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ;"], ["table_2", "new sites ( acquired or constructed ) the asia of 2016 is 43865 ; the asia of 2015 is 2330 ; the asia of 2014 is 1560 ;"], ["table_3", "new sites ( acquired or constructed ) the emea of 2016 is 665 ; the emea of 2015 is 4910 ; the emea of 2014 is 190 ;"], ["table_4", "new sites ( acquired or constructed ) the latin america of 2016 is 715 ; the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ;"]]}, "answers": ["6535"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001186", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total number of new sites acquired and constructed during 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "6535.", "rejected": "45310.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the total number of new sites acquired and constructed <TIME>?", "doc_prefix": "AMT", "base_question": "what is the total number of new sites acquired and constructed <TIME>?", "original_question": "what is the total number of new sites acquired and constructed during 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6535": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "45310": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "AMT/2016/page_57.pdf-3", "qa": {"question": "what is the total number of new sites acquired and constructed during 2015?", "answer": "6535", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "11595", "arg2": "2330", "res": "13925"}, {"op": "add2-2", "arg1": "#0", "arg2": "4910", "res": "18835"}, {"op": "add2-3", "arg1": "#1", "arg2": "6535", "res": "25370"}], "program": "add(11595, 2330), add(#0, 4910), add(#1, 6535)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the u.s . of 2016 is 65 ; the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ;", "table_2": "new sites ( acquired or constructed ) the asia of 2016 is 43865 ; the asia of 2015 is 2330 ; the asia of 2014 is 1560 ;", "table_3": "new sites ( acquired or constructed ) the emea of 2016 is 665 ; the emea of 2015 is 4910 ; the emea of 2014 is 190 ;", "table_4": "new sites ( acquired or constructed ) the latin america of 2016 is 715 ; the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ;"}, "exe_ans": 25370.0, "tfidftopn": {}, "program_re": "add(add(add(11595, 2330), 4910), 6535)", "model_input": [["table_1", "new sites ( acquired or constructed ) the u.s . of 2016 is 65 ; the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ;"], ["table_2", "new sites ( acquired or constructed ) the asia of 2016 is 43865 ; the asia of 2015 is 2330 ; the asia of 2014 is 1560 ;"], ["table_3", "new sites ( acquired or constructed ) the emea of 2016 is 665 ; the emea of 2015 is 4910 ; the emea of 2014 is 190 ;"], ["table_4", "new sites ( acquired or constructed ) the latin america of 2016 is 715 ; the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ;"]]}, "answers": ["6535"]}, "rejected_source": {"id": "AMT/2016/page_57.pdf-2", "qa": {"question": "what is the total number of new sites acquired and constructed during 2016?", "answer": "45310", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "65", "arg2": "43865", "res": "43930"}, {"op": "add1-2", "arg1": "#0", "arg2": "665", "res": "44595"}, {"op": "add1-3", "arg1": "#1", "arg2": "715", "res": "45310"}], "program": "add(65, 43865), add(#0, 665), add(#1, 715)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the u.s . of 2016 is 65 ; the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ;", "table_2": "new sites ( acquired or constructed ) the asia of 2016 is 43865 ; the asia of 2015 is 2330 ; the asia of 2014 is 1560 ;", "table_3": "new sites ( acquired or constructed ) the emea of 2016 is 665 ; the emea of 2015 is 4910 ; the emea of 2014 is 190 ;", "table_4": "new sites ( acquired or constructed ) the latin america of 2016 is 715 ; the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ;"}, "exe_ans": 45310.0, "tfidftopn": {}, "program_re": "add(add(add(65, 43865), 665), 715)", "model_input": [["table_1", "new sites ( acquired or constructed ) the u.s . of 2016 is 65 ; the u.s . of 2015 is 11595 ; the u.s . of 2014 is 900 ;"], ["table_2", "new sites ( acquired or constructed ) the asia of 2016 is 43865 ; the asia of 2015 is 2330 ; the asia of 2014 is 1560 ;"], ["table_3", "new sites ( acquired or constructed ) the emea of 2016 is 665 ; the emea of 2015 is 4910 ; the emea of 2014 is 190 ;"], ["table_4", "new sites ( acquired or constructed ) the latin america of 2016 is 715 ; the latin america of 2015 is 6535 ; the latin america of 2014 is 5800 ;"]]}, "answers": ["45310"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001187", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the accumulated other comprehensive income during 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-1836.", "rejected": "756.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what is the net change in the accumulated other comprehensive income <TIME>?", "doc_prefix": "INTC", "base_question": "what is the net change in the accumulated other comprehensive income <TIME>?", "original_question": "what is the net change in the accumulated other comprehensive income during 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"756": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-1836": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "INTC/2018/page_105.pdf-2", "qa": {"question": "what is the net change in the accumulated other comprehensive income during 2018?", "answer": "-1836", "explanation": "", "ann_table_rows": [6, 13], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-974", "arg2": "862", "res": "-1836"}], "program": "subtract(-974, 862)", "gold_inds": {"table_6": "( in millions ) the december 30 2017 of unrealized holding gains ( losses ) on available-for-sale equity investments is 1745 ; the december 30 2017 of unrealized holding gains ( losses ) on derivatives is 106 ; the december 30 2017 of actuarial valuation and other pension expenses is -963 ( 963 ) ; the december 30 2017 of translation adjustments and other is -26 ( 26 ) ; the december 30 2017 of total is 862 ;", "table_13": "( in millions ) the december 29 2018 of unrealized holding gains ( losses ) on available-for-sale equity investments is $ 2014 ; the december 29 2018 of unrealized holding gains ( losses ) on derivatives is $ -123 ( 123 ) ; the december 29 2018 of actuarial valuation and other pension expenses is $ -818 ( 818 ) ; the december 29 2018 of translation adjustments and other is $ -33 ( 33 ) ; the december 29 2018 of total is $ -974 ( 974 ) ;"}, "exe_ans": -1836.0, "tfidftopn": {"table_10": "( in millions ) The amounts reclassified out of accumulated other comprehensive income ( loss ) of unrealized holding gains ( losses ) on available-for-sale equity investments is 2014 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of unrealized holding gains ( losses ) on derivatives is 9 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of actuarial valuation and other pension expenses is 109 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of translation adjustments and other is 8 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of total is 126 ;"}, "program_re": "subtract(-974, 862)", "model_input": [["table_1", "( in millions ) the december 31 2016 of unrealized holding gains ( losses ) on available-for-sale equity investments is $ 2179 ; the december 31 2016 of unrealized holding gains ( losses ) on derivatives is $ -259 ( 259 ) ; the december 31 2016 of actuarial valuation and other pension expenses is $ -1280 ( 1280 ) ; the december 31 2016 of translation adjustments and other is $ -534 ( 534 ) ; the december 31 2016 of total is $ 106 ;"], ["table_6", "( in millions ) the december 30 2017 of unrealized holding gains ( losses ) on available-for-sale equity investments is 1745 ; the december 30 2017 of unrealized holding gains ( losses ) on derivatives is 106 ; the december 30 2017 of actuarial valuation and other pension expenses is -963 ( 963 ) ; the december 30 2017 of translation adjustments and other is -26 ( 26 ) ; the december 30 2017 of total is 862 ;"], ["table_13", "( in millions ) the december 29 2018 of unrealized holding gains ( losses ) on available-for-sale equity investments is $ 2014 ; the december 29 2018 of unrealized holding gains ( losses ) on derivatives is $ -123 ( 123 ) ; the december 29 2018 of actuarial valuation and other pension expenses is $ -818 ( 818 ) ; the december 29 2018 of translation adjustments and other is $ -33 ( 33 ) ; the december 29 2018 of total is $ -974 ( 974 ) ;"]]}, "answers": ["-1836"]}, "rejected_source": {"id": "INTC/2018/page_105.pdf-1", "qa": {"question": "what is the net change in the accumulated other comprehensive income during 2017?", "answer": "756", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "862", "arg2": "106", "res": "756"}], "program": "subtract(862, 106)", "gold_inds": {"table_1": "( in millions ) the december 31 2016 of unrealized holding gains ( losses ) on available-for-sale equity investments is $ 2179 ; the december 31 2016 of unrealized holding gains ( losses ) on derivatives is $ -259 ( 259 ) ; the december 31 2016 of actuarial valuation and other pension expenses is $ -1280 ( 1280 ) ; the december 31 2016 of translation adjustments and other is $ -534 ( 534 ) ; the december 31 2016 of total is $ 106 ;", "table_6": "( in millions ) the december 30 2017 of unrealized holding gains ( losses ) on available-for-sale equity investments is 1745 ; the december 30 2017 of unrealized holding gains ( losses ) on derivatives is 106 ; the december 30 2017 of actuarial valuation and other pension expenses is -963 ( 963 ) ; the december 30 2017 of translation adjustments and other is -26 ( 26 ) ; the december 30 2017 of total is 862 ;"}, "exe_ans": 756.0, "tfidftopn": {"table_10": "( in millions ) The amounts reclassified out of accumulated other comprehensive income ( loss ) of unrealized holding gains ( losses ) on available-for-sale equity investments is 2014 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of unrealized holding gains ( losses ) on derivatives is 9 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of actuarial valuation and other pension expenses is 109 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of translation adjustments and other is 8 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of total is 126 ;"}, "program_re": "subtract(862, 106)", "model_input": [["table_1", "( in millions ) the december 31 2016 of unrealized holding gains ( losses ) on available-for-sale equity investments is $ 2179 ; the december 31 2016 of unrealized holding gains ( losses ) on derivatives is $ -259 ( 259 ) ; the december 31 2016 of actuarial valuation and other pension expenses is $ -1280 ( 1280 ) ; the december 31 2016 of translation adjustments and other is $ -534 ( 534 ) ; the december 31 2016 of total is $ 106 ;"], ["table_6", "( in millions ) the december 30 2017 of unrealized holding gains ( losses ) on available-for-sale equity investments is 1745 ; the december 30 2017 of unrealized holding gains ( losses ) on derivatives is 106 ; the december 30 2017 of actuarial valuation and other pension expenses is -963 ( 963 ) ; the december 30 2017 of translation adjustments and other is -26 ( 26 ) ; the december 30 2017 of total is 862 ;"], ["table_8", "( in millions ) the opening balance as of december 31 2017 of unrealized holding gains ( losses ) on available-for-sale equity investments is 2014 ; the opening balance as of december 31 2017 of unrealized holding gains ( losses ) on derivatives is 130 ; the opening balance as of december 31 2017 of actuarial valuation and other pension expenses is -1028 ( 1028 ) ; the opening balance as of december 31 2017 of translation adjustments and other is -30 ( 30 ) ; the opening balance as of december 31 2017 of total is -928 ( 928 ) ;"]]}, "answers": ["756"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001188", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in the accumulated other comprehensive income during 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "756.", "rejected": "-1836.", "meta": {"dataset": "finqa", "split": "train", "group_key": "INTC || what is the net change in the accumulated other comprehensive income <TIME>?", "doc_prefix": "INTC", "base_question": "what is the net change in the accumulated other comprehensive income <TIME>?", "original_question": "what is the net change in the accumulated other comprehensive income during 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"756": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-1836": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "INTC/2018/page_105.pdf-1", "qa": {"question": "what is the net change in the accumulated other comprehensive income during 2017?", "answer": "756", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "862", "arg2": "106", "res": "756"}], "program": "subtract(862, 106)", "gold_inds": {"table_1": "( in millions ) the december 31 2016 of unrealized holding gains ( losses ) on available-for-sale equity investments is $ 2179 ; the december 31 2016 of unrealized holding gains ( losses ) on derivatives is $ -259 ( 259 ) ; the december 31 2016 of actuarial valuation and other pension expenses is $ -1280 ( 1280 ) ; the december 31 2016 of translation adjustments and other is $ -534 ( 534 ) ; the december 31 2016 of total is $ 106 ;", "table_6": "( in millions ) the december 30 2017 of unrealized holding gains ( losses ) on available-for-sale equity investments is 1745 ; the december 30 2017 of unrealized holding gains ( losses ) on derivatives is 106 ; the december 30 2017 of actuarial valuation and other pension expenses is -963 ( 963 ) ; the december 30 2017 of translation adjustments and other is -26 ( 26 ) ; the december 30 2017 of total is 862 ;"}, "exe_ans": 756.0, "tfidftopn": {"table_10": "( in millions ) The amounts reclassified out of accumulated other comprehensive income ( loss ) of unrealized holding gains ( losses ) on available-for-sale equity investments is 2014 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of unrealized holding gains ( losses ) on derivatives is 9 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of actuarial valuation and other pension expenses is 109 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of translation adjustments and other is 8 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of total is 126 ;"}, "program_re": "subtract(862, 106)", "model_input": [["table_1", "( in millions ) the december 31 2016 of unrealized holding gains ( losses ) on available-for-sale equity investments is $ 2179 ; the december 31 2016 of unrealized holding gains ( losses ) on derivatives is $ -259 ( 259 ) ; the december 31 2016 of actuarial valuation and other pension expenses is $ -1280 ( 1280 ) ; the december 31 2016 of translation adjustments and other is $ -534 ( 534 ) ; the december 31 2016 of total is $ 106 ;"], ["table_6", "( in millions ) the december 30 2017 of unrealized holding gains ( losses ) on available-for-sale equity investments is 1745 ; the december 30 2017 of unrealized holding gains ( losses ) on derivatives is 106 ; the december 30 2017 of actuarial valuation and other pension expenses is -963 ( 963 ) ; the december 30 2017 of translation adjustments and other is -26 ( 26 ) ; the december 30 2017 of total is 862 ;"], ["table_8", "( in millions ) the opening balance as of december 31 2017 of unrealized holding gains ( losses ) on available-for-sale equity investments is 2014 ; the opening balance as of december 31 2017 of unrealized holding gains ( losses ) on derivatives is 130 ; the opening balance as of december 31 2017 of actuarial valuation and other pension expenses is -1028 ( 1028 ) ; the opening balance as of december 31 2017 of translation adjustments and other is -30 ( 30 ) ; the opening balance as of december 31 2017 of total is -928 ( 928 ) ;"]]}, "answers": ["756"]}, "rejected_source": {"id": "INTC/2018/page_105.pdf-2", "qa": {"question": "what is the net change in the accumulated other comprehensive income during 2018?", "answer": "-1836", "explanation": "", "ann_table_rows": [6, 13], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-974", "arg2": "862", "res": "-1836"}], "program": "subtract(-974, 862)", "gold_inds": {"table_6": "( in millions ) the december 30 2017 of unrealized holding gains ( losses ) on available-for-sale equity investments is 1745 ; the december 30 2017 of unrealized holding gains ( losses ) on derivatives is 106 ; the december 30 2017 of actuarial valuation and other pension expenses is -963 ( 963 ) ; the december 30 2017 of translation adjustments and other is -26 ( 26 ) ; the december 30 2017 of total is 862 ;", "table_13": "( in millions ) the december 29 2018 of unrealized holding gains ( losses ) on available-for-sale equity investments is $ 2014 ; the december 29 2018 of unrealized holding gains ( losses ) on derivatives is $ -123 ( 123 ) ; the december 29 2018 of actuarial valuation and other pension expenses is $ -818 ( 818 ) ; the december 29 2018 of translation adjustments and other is $ -33 ( 33 ) ; the december 29 2018 of total is $ -974 ( 974 ) ;"}, "exe_ans": -1836.0, "tfidftopn": {"table_10": "( in millions ) The amounts reclassified out of accumulated other comprehensive income ( loss ) of unrealized holding gains ( losses ) on available-for-sale equity investments is 2014 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of unrealized holding gains ( losses ) on derivatives is 9 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of actuarial valuation and other pension expenses is 109 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of translation adjustments and other is 8 ; The amounts reclassified out of accumulated other comprehensive income ( loss ) of total is 126 ;"}, "program_re": "subtract(-974, 862)", "model_input": [["table_1", "( in millions ) the december 31 2016 of unrealized holding gains ( losses ) on available-for-sale equity investments is $ 2179 ; the december 31 2016 of unrealized holding gains ( losses ) on derivatives is $ -259 ( 259 ) ; the december 31 2016 of actuarial valuation and other pension expenses is $ -1280 ( 1280 ) ; the december 31 2016 of translation adjustments and other is $ -534 ( 534 ) ; the december 31 2016 of total is $ 106 ;"], ["table_6", "( in millions ) the december 30 2017 of unrealized holding gains ( losses ) on available-for-sale equity investments is 1745 ; the december 30 2017 of unrealized holding gains ( losses ) on derivatives is 106 ; the december 30 2017 of actuarial valuation and other pension expenses is -963 ( 963 ) ; the december 30 2017 of translation adjustments and other is -26 ( 26 ) ; the december 30 2017 of total is 862 ;"], ["table_13", "( in millions ) the december 29 2018 of unrealized holding gains ( losses ) on available-for-sale equity investments is $ 2014 ; the december 29 2018 of unrealized holding gains ( losses ) on derivatives is $ -123 ( 123 ) ; the december 29 2018 of actuarial valuation and other pension expenses is $ -818 ( 818 ) ; the december 29 2018 of translation adjustments and other is $ -33 ( 33 ) ; the december 29 2018 of total is $ -974 ( 974 ) ;"]]}, "answers": ["-1836"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001189", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in weighted average shares outstanding for basic net earnings per share between 2008 and 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-5%.", "rejected": "-9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what is the percent change in weighted average shares outstanding for basic net earnings per share <TIME>?", "doc_prefix": "ZBH", "base_question": "what is the percent change in weighted average shares outstanding for basic net earnings per share <TIME>?", "original_question": "what is the percent change in weighted average shares outstanding for basic net earnings per share between 2008 and 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-9%": [{"start": "2007-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2007 and 2009"}], "-5%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}]}, "chosen_source": {"id": "ZBH/2009/page_88.pdf-2", "qa": {"question": "what is the percent change in weighted average shares outstanding for basic net earnings per share between 2008 and 2009?", "answer": "-5%", "explanation": "i know these questions are very similar but there is not much else that can be gathered from the sample that has not already been stated", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "215.0", "arg2": "227.3", "res": "-12.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "227.3", "res": "-0.05"}], "program": "subtract(215.0, 227.3), divide(#0, 227.3)", "gold_inds": {"table_1": "the weighted average shares outstanding for basic net earnings per share of 2009 is 215.0 ; the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ;"}, "exe_ans": -0.05411, "tfidftopn": {"table_3": "The weighted average shares outstanding for diluted net earnings per share of 2009 is 215.8 ; The weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; The weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ;", "text_3": "the denominator for basic earnings per share is the weighted average number of common shares outstanding during the period ."}, "program_re": "divide(subtract(215.0, 227.3), 227.3)", "model_input": [["text_5", "the following is a reconciliation of weighted average shares for the basic and diluted share computations for the years ending december 31 ( in millions ) : ."], ["table_1", "the weighted average shares outstanding for basic net earnings per share of 2009 is 215.0 ; the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ;"], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2009 is 215.8 ; the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ;"]]}, "answers": ["-5%"]}, "rejected_source": {"id": "ZBH/2009/page_88.pdf-1", "qa": {"question": "what is the percent change in weighted average shares outstanding for basic net earnings per share between 2007 and 2009?", "answer": "-9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "215.0", "arg2": "235.5", "res": "-20.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "235.5", "res": "-0.09"}], "program": "subtract(215.0, 235.5), divide(#0, 235.5)", "gold_inds": {"table_1": "the weighted average shares outstanding for basic net earnings per share of 2009 is 215.0 ; the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ;"}, "exe_ans": -0.08705, "tfidftopn": {"table_3": "The weighted average shares outstanding for diluted net earnings per share of 2009 is 215.8 ; The weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; The weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ;", "text_3": "the denominator for basic earnings per share is the weighted average number of common shares outstanding during the period ."}, "program_re": "divide(subtract(215.0, 235.5), 235.5)", "model_input": [["text_5", "the following is a reconciliation of weighted average shares for the basic and diluted share computations for the years ending december 31 ( in millions ) : ."], ["table_1", "the weighted average shares outstanding for basic net earnings per share of 2009 is 215.0 ; the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ;"], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2009 is 215.8 ; the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ;"]]}, "answers": ["-9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001190", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in weighted average shares outstanding for basic net earnings per share between 2007 and 2009?\nReference time interval: 2007-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-9%.", "rejected": "-5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what is the percent change in weighted average shares outstanding for basic net earnings per share <TIME>?", "doc_prefix": "ZBH", "base_question": "what is the percent change in weighted average shares outstanding for basic net earnings per share <TIME>?", "original_question": "what is the percent change in weighted average shares outstanding for basic net earnings per share between 2007 and 2009?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2007 and 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-9%": [{"start": "2007-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2007 and 2009"}], "-5%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "between 2008 and 2009"}]}, "chosen_source": {"id": "ZBH/2009/page_88.pdf-1", "qa": {"question": "what is the percent change in weighted average shares outstanding for basic net earnings per share between 2007 and 2009?", "answer": "-9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "215.0", "arg2": "235.5", "res": "-20.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "235.5", "res": "-0.09"}], "program": "subtract(215.0, 235.5), divide(#0, 235.5)", "gold_inds": {"table_1": "the weighted average shares outstanding for basic net earnings per share of 2009 is 215.0 ; the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ;"}, "exe_ans": -0.08705, "tfidftopn": {"table_3": "The weighted average shares outstanding for diluted net earnings per share of 2009 is 215.8 ; The weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; The weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ;", "text_3": "the denominator for basic earnings per share is the weighted average number of common shares outstanding during the period ."}, "program_re": "divide(subtract(215.0, 235.5), 235.5)", "model_input": [["text_5", "the following is a reconciliation of weighted average shares for the basic and diluted share computations for the years ending december 31 ( in millions ) : ."], ["table_1", "the weighted average shares outstanding for basic net earnings per share of 2009 is 215.0 ; the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ;"], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2009 is 215.8 ; the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ;"]]}, "answers": ["-9%"]}, "rejected_source": {"id": "ZBH/2009/page_88.pdf-2", "qa": {"question": "what is the percent change in weighted average shares outstanding for basic net earnings per share between 2008 and 2009?", "answer": "-5%", "explanation": "i know these questions are very similar but there is not much else that can be gathered from the sample that has not already been stated", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "215.0", "arg2": "227.3", "res": "-12.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "227.3", "res": "-0.05"}], "program": "subtract(215.0, 227.3), divide(#0, 227.3)", "gold_inds": {"table_1": "the weighted average shares outstanding for basic net earnings per share of 2009 is 215.0 ; the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ;"}, "exe_ans": -0.05411, "tfidftopn": {"table_3": "The weighted average shares outstanding for diluted net earnings per share of 2009 is 215.8 ; The weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; The weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ;", "text_3": "the denominator for basic earnings per share is the weighted average number of common shares outstanding during the period ."}, "program_re": "divide(subtract(215.0, 227.3), 227.3)", "model_input": [["text_5", "the following is a reconciliation of weighted average shares for the basic and diluted share computations for the years ending december 31 ( in millions ) : ."], ["table_1", "the weighted average shares outstanding for basic net earnings per share of 2009 is 215.0 ; the weighted average shares outstanding for basic net earnings per share of 2008 is 227.3 ; the weighted average shares outstanding for basic net earnings per share of 2007 is 235.5 ;"], ["table_3", "the weighted average shares outstanding for diluted net earnings per share of 2009 is 215.8 ; the weighted average shares outstanding for diluted net earnings per share of 2008 is 228.3 ; the weighted average shares outstanding for diluted net earnings per share of 2007 is 237.5 ;"]]}, "answers": ["-5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001191", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in year end allowance for uncollectible accounts between 2004 and 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-26%.", "rejected": "55%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CNC || what was the percentage change in year end allowance for uncollectible accounts <TIME>?", "doc_prefix": "CNC", "base_question": "what was the percentage change in year end allowance for uncollectible accounts <TIME>?", "original_question": "what was the percentage change in year end allowance for uncollectible accounts between 2004 and 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-26%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "55%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}]}, "chosen_source": {"id": "CNC/2006/page_37.pdf-4", "qa": {"question": "what was the percentage change in year end allowance for uncollectible accounts between 2004 and 2005?", "answer": "-26%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "343", "arg2": "462", "res": "-119"}, {"op": "divide1-2", "arg1": "#0", "arg2": "462", "res": "-26%"}], "program": "subtract(343, 462), divide(#0, 462)", "gold_inds": {"table_4": "the allowances end of year of 2006 is $ 155 ; the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ;"}, "exe_ans": -0.25758, "tfidftopn": {"text_22": "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: .", "table_1": "The allowances beginning of year of 2006 is $ 343 ; The allowances beginning of year of 2005 is $ 462 ; The allowances beginning of year of 2004 is $ 607 ;"}, "program_re": "divide(subtract(343, 462), 462)", "model_input": [["text_22", "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: ."], ["table_1", "the allowances beginning of year of 2006 is $ 343 ; the allowances beginning of year of 2005 is $ 462 ; the allowances beginning of year of 2004 is $ 607 ;"], ["table_4", "the allowances end of year of 2006 is $ 155 ; the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ;"]]}, "answers": ["-26%"]}, "rejected_source": {"id": "CNC/2006/page_37.pdf-3", "qa": {"question": "what was the percentage change in year end allowance for uncollectible accounts between 2005 and 2006?", "answer": "55%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "155", "arg2": "343", "res": "-188"}, {"op": "divide2-2", "arg1": "#0", "arg2": "343", "res": "-55%"}], "program": "subtract(155, 343), divide(#0, 343)", "gold_inds": {"table_4": "the allowances end of year of 2006 is $ 155 ; the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ;"}, "exe_ans": -0.5481, "tfidftopn": {"text_22": "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: .", "table_1": "The allowances beginning of year of 2006 is $ 343 ; The allowances beginning of year of 2005 is $ 462 ; The allowances beginning of year of 2004 is $ 607 ;"}, "program_re": "divide(subtract(155, 343), 343)", "model_input": [["text_22", "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: ."], ["table_1", "the allowances beginning of year of 2006 is $ 343 ; the allowances beginning of year of 2005 is $ 462 ; the allowances beginning of year of 2004 is $ 607 ;"], ["table_4", "the allowances end of year of 2006 is $ 155 ; the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ;"]]}, "answers": ["55%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001192", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in year end allowance for uncollectible accounts between 2005 and 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "55%.", "rejected": "-26%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CNC || what was the percentage change in year end allowance for uncollectible accounts <TIME>?", "doc_prefix": "CNC", "base_question": "what was the percentage change in year end allowance for uncollectible accounts <TIME>?", "original_question": "what was the percentage change in year end allowance for uncollectible accounts between 2005 and 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-26%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "55%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}]}, "chosen_source": {"id": "CNC/2006/page_37.pdf-3", "qa": {"question": "what was the percentage change in year end allowance for uncollectible accounts between 2005 and 2006?", "answer": "55%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "155", "arg2": "343", "res": "-188"}, {"op": "divide2-2", "arg1": "#0", "arg2": "343", "res": "-55%"}], "program": "subtract(155, 343), divide(#0, 343)", "gold_inds": {"table_4": "the allowances end of year of 2006 is $ 155 ; the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ;"}, "exe_ans": -0.5481, "tfidftopn": {"text_22": "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: .", "table_1": "The allowances beginning of year of 2006 is $ 343 ; The allowances beginning of year of 2005 is $ 462 ; The allowances beginning of year of 2004 is $ 607 ;"}, "program_re": "divide(subtract(155, 343), 343)", "model_input": [["text_22", "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: ."], ["table_1", "the allowances beginning of year of 2006 is $ 343 ; the allowances beginning of year of 2005 is $ 462 ; the allowances beginning of year of 2004 is $ 607 ;"], ["table_4", "the allowances end of year of 2006 is $ 155 ; the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ;"]]}, "answers": ["55%"]}, "rejected_source": {"id": "CNC/2006/page_37.pdf-4", "qa": {"question": "what was the percentage change in year end allowance for uncollectible accounts between 2004 and 2005?", "answer": "-26%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "343", "arg2": "462", "res": "-119"}, {"op": "divide1-2", "arg1": "#0", "arg2": "462", "res": "-26%"}], "program": "subtract(343, 462), divide(#0, 462)", "gold_inds": {"table_4": "the allowances end of year of 2006 is $ 155 ; the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ;"}, "exe_ans": -0.25758, "tfidftopn": {"text_22": "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: .", "table_1": "The allowances beginning of year of 2006 is $ 343 ; The allowances beginning of year of 2005 is $ 462 ; The allowances beginning of year of 2004 is $ 607 ;"}, "program_re": "divide(subtract(343, 462), 462)", "model_input": [["text_22", "activity in the allowance for uncollectible accounts for the years ended december 31 is summarized below: ."], ["table_1", "the allowances beginning of year of 2006 is $ 343 ; the allowances beginning of year of 2005 is $ 462 ; the allowances beginning of year of 2004 is $ 607 ;"], ["table_4", "the allowances end of year of 2006 is $ 155 ; the allowances end of year of 2005 is $ 343 ; the allowances end of year of 2004 is $ 462 ;"]]}, "answers": ["-26%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001193", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total compensation expense in 2017 is composed of other variable incentive compensation?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "31%.", "rejected": "32%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total compensation expense <TIME> is composed of other variable incentive compensation?", "doc_prefix": "C", "base_question": "what percentage of total compensation expense <TIME> is composed of other variable incentive compensation?", "original_question": "what percentage of total compensation expense in 2017 is composed of other variable incentive compensation?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"31%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "32%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "C/2018/page_179.pdf-4", "qa": {"question": "what percentage of total compensation expense in 2017 is composed of other variable incentive compensation?", "answer": "31%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "694", "arg2": "2251", "res": "31%"}], "program": "divide(694, 2251)", "gold_inds": {"table_5": "in millions of dollars the other variable incentive compensation of 2018 is 640 ; the other variable incentive compensation of 2017 is 694 ; the other variable incentive compensation of 2016 is 710 ;", "table_6": "in millions of dollars the total of 2018 is $ 2021 ; the total of 2017 is $ 2251 ; the total of 2016 is $ 2183 ;"}, "exe_ans": 0.30831, "tfidftopn": {"text_2": "the expense is generally accrued as cash incentive compensation in the year prior to grant ."}, "program_re": "divide(694, 2251)", "model_input": [["table_5", "in millions of dollars the other variable incentive compensation of 2018 is 640 ; the other variable incentive compensation of 2017 is 694 ; the other variable incentive compensation of 2016 is 710 ;"], ["table_6", "in millions of dollars the total of 2018 is $ 2021 ; the total of 2017 is $ 2251 ; the total of 2016 is $ 2183 ;"], ["text_3", "( 2 ) all periods include amortization expense for all unvested awards to non-retirement-eligible employees. ."]]}, "answers": ["31%"]}, "rejected_source": {"id": "C/2018/page_179.pdf-2", "qa": {"question": "what percentage of total compensation expense in 2018 is composed of other variable incentive compensation?", "answer": "32%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "640", "arg2": "2021", "res": "32%"}], "program": "divide(640, 2021)", "gold_inds": {"table_5": "in millions of dollars the other variable incentive compensation of 2018 is 640 ; the other variable incentive compensation of 2017 is 694 ; the other variable incentive compensation of 2016 is 710 ;", "table_6": "in millions of dollars the total of 2018 is $ 2021 ; the total of 2017 is $ 2251 ; the total of 2016 is $ 2183 ;"}, "exe_ans": 0.31667, "tfidftopn": {"text_2": "the expense is generally accrued as cash incentive compensation in the year prior to grant ."}, "program_re": "divide(640, 2021)", "model_input": [["table_5", "in millions of dollars the other variable incentive compensation of 2018 is 640 ; the other variable incentive compensation of 2017 is 694 ; the other variable incentive compensation of 2016 is 710 ;"], ["table_6", "in millions of dollars the total of 2018 is $ 2021 ; the total of 2017 is $ 2251 ; the total of 2016 is $ 2183 ;"], ["text_3", "( 2 ) all periods include amortization expense for all unvested awards to non-retirement-eligible employees. ."]]}, "answers": ["32%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001194", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total compensation expense in 2018 is composed of other variable incentive compensation?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "32%.", "rejected": "31%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total compensation expense <TIME> is composed of other variable incentive compensation?", "doc_prefix": "C", "base_question": "what percentage of total compensation expense <TIME> is composed of other variable incentive compensation?", "original_question": "what percentage of total compensation expense in 2018 is composed of other variable incentive compensation?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"31%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "32%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "C/2018/page_179.pdf-2", "qa": {"question": "what percentage of total compensation expense in 2018 is composed of other variable incentive compensation?", "answer": "32%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "640", "arg2": "2021", "res": "32%"}], "program": "divide(640, 2021)", "gold_inds": {"table_5": "in millions of dollars the other variable incentive compensation of 2018 is 640 ; the other variable incentive compensation of 2017 is 694 ; the other variable incentive compensation of 2016 is 710 ;", "table_6": "in millions of dollars the total of 2018 is $ 2021 ; the total of 2017 is $ 2251 ; the total of 2016 is $ 2183 ;"}, "exe_ans": 0.31667, "tfidftopn": {"text_2": "the expense is generally accrued as cash incentive compensation in the year prior to grant ."}, "program_re": "divide(640, 2021)", "model_input": [["table_5", "in millions of dollars the other variable incentive compensation of 2018 is 640 ; the other variable incentive compensation of 2017 is 694 ; the other variable incentive compensation of 2016 is 710 ;"], ["table_6", "in millions of dollars the total of 2018 is $ 2021 ; the total of 2017 is $ 2251 ; the total of 2016 is $ 2183 ;"], ["text_3", "( 2 ) all periods include amortization expense for all unvested awards to non-retirement-eligible employees. ."]]}, "answers": ["32%"]}, "rejected_source": {"id": "C/2018/page_179.pdf-4", "qa": {"question": "what percentage of total compensation expense in 2017 is composed of other variable incentive compensation?", "answer": "31%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "694", "arg2": "2251", "res": "31%"}], "program": "divide(694, 2251)", "gold_inds": {"table_5": "in millions of dollars the other variable incentive compensation of 2018 is 640 ; the other variable incentive compensation of 2017 is 694 ; the other variable incentive compensation of 2016 is 710 ;", "table_6": "in millions of dollars the total of 2018 is $ 2021 ; the total of 2017 is $ 2251 ; the total of 2016 is $ 2183 ;"}, "exe_ans": 0.30831, "tfidftopn": {"text_2": "the expense is generally accrued as cash incentive compensation in the year prior to grant ."}, "program_re": "divide(694, 2251)", "model_input": [["table_5", "in millions of dollars the other variable incentive compensation of 2018 is 640 ; the other variable incentive compensation of 2017 is 694 ; the other variable incentive compensation of 2016 is 710 ;"], ["table_6", "in millions of dollars the total of 2018 is $ 2021 ; the total of 2017 is $ 2251 ; the total of 2016 is $ 2183 ;"], ["text_3", "( 2 ) all periods include amortization expense for all unvested awards to non-retirement-eligible employees. ."]]}, "answers": ["31%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001195", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total debt was long-term debt in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "61%.", "rejected": "81%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EMR || what percentage of total debt was long-term debt <TIME>?", "doc_prefix": "EMR", "base_question": "what percentage of total debt was long-term debt <TIME>?", "original_question": "what percentage of total debt was long-term debt in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"61%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "81%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "EMR/2017/page_53.pdf-2", "qa": {"question": "what percentage of total debt was long-term debt in 2016?", "answer": "61%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [20], "steps": [{"op": "multiply2-1", "arg1": "6.6", "arg2": "const_1000", "res": "6600"}, {"op": "divide2-2", "arg1": "4051", "arg2": "#0", "res": "61%"}], "program": "multiply(6.6, const_1000), divide(4051, #0)", "gold_inds": {"table_2": "( dollars in millions ) the long-term debt of 2015 is $ 4289 ; the long-term debt of 2016 is 4051 ; the long-term debt of 2017 is 3794 ;", "text_20": "total debt , which includes long-term debt , current maturities of long-term debt , commercial paper and other short-term borrowings , was $ 4.7 billion , $ 6.6 billion and $ 6.8 billion for 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.61379, "tfidftopn": {"table_4": "( dollars in millions ) The total debt-to-total capital ratio of 2015 is 45.8% ( 45.8 % ) ; The total debt-to-total capital ratio of 2016 is 46.7% ( 46.7 % ) ; The total debt-to-total capital ratio of 2017 is 34.8% ( 34.8 % ) ;"}, "program_re": "divide(4051, multiply(6.6, const_1000))", "model_input": [["table_1", "( dollars in millions ) the total assets of 2015 is $ 22088 ; the total assets of 2016 is 21732 ; the total assets of 2017 is 19589 ;"], ["table_2", "( dollars in millions ) the long-term debt of 2015 is $ 4289 ; the long-term debt of 2016 is 4051 ; the long-term debt of 2017 is 3794 ;"], ["text_20", "total debt , which includes long-term debt , current maturities of long-term debt , commercial paper and other short-term borrowings , was $ 4.7 billion , $ 6.6 billion and $ 6.8 billion for 2017 , 2016 and 2015 , respectively ."]]}, "answers": ["61%"]}, "rejected_source": {"id": "EMR/2017/page_53.pdf-1", "qa": {"question": "what percentage of total debt was long-term debt in 2017?", "answer": "81%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [20], "steps": [{"op": "multiply1-1", "arg1": "4.7", "arg2": "const_1000", "res": "4700"}, {"op": "divide1-2", "arg1": "3794", "arg2": "#0", "res": "81%"}], "program": "multiply(4.7, const_1000), divide(3794, #0)", "gold_inds": {"table_2": "( dollars in millions ) the long-term debt of 2015 is $ 4289 ; the long-term debt of 2016 is 4051 ; the long-term debt of 2017 is 3794 ;", "text_20": "total debt , which includes long-term debt , current maturities of long-term debt , commercial paper and other short-term borrowings , was $ 4.7 billion , $ 6.6 billion and $ 6.8 billion for 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.80723, "tfidftopn": {"table_4": "( dollars in millions ) The total debt-to-total capital ratio of 2015 is 45.8% ( 45.8 % ) ; The total debt-to-total capital ratio of 2016 is 46.7% ( 46.7 % ) ; The total debt-to-total capital ratio of 2017 is 34.8% ( 34.8 % ) ;"}, "program_re": "divide(3794, multiply(4.7, const_1000))", "model_input": [["table_1", "( dollars in millions ) the total assets of 2015 is $ 22088 ; the total assets of 2016 is 21732 ; the total assets of 2017 is 19589 ;"], ["table_2", "( dollars in millions ) the long-term debt of 2015 is $ 4289 ; the long-term debt of 2016 is 4051 ; the long-term debt of 2017 is 3794 ;"], ["text_20", "total debt , which includes long-term debt , current maturities of long-term debt , commercial paper and other short-term borrowings , was $ 4.7 billion , $ 6.6 billion and $ 6.8 billion for 2017 , 2016 and 2015 , respectively ."]]}, "answers": ["81%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001196", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total debt was long-term debt in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "81%.", "rejected": "61%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EMR || what percentage of total debt was long-term debt <TIME>?", "doc_prefix": "EMR", "base_question": "what percentage of total debt was long-term debt <TIME>?", "original_question": "what percentage of total debt was long-term debt in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"61%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "81%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "EMR/2017/page_53.pdf-1", "qa": {"question": "what percentage of total debt was long-term debt in 2017?", "answer": "81%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [20], "steps": [{"op": "multiply1-1", "arg1": "4.7", "arg2": "const_1000", "res": "4700"}, {"op": "divide1-2", "arg1": "3794", "arg2": "#0", "res": "81%"}], "program": "multiply(4.7, const_1000), divide(3794, #0)", "gold_inds": {"table_2": "( dollars in millions ) the long-term debt of 2015 is $ 4289 ; the long-term debt of 2016 is 4051 ; the long-term debt of 2017 is 3794 ;", "text_20": "total debt , which includes long-term debt , current maturities of long-term debt , commercial paper and other short-term borrowings , was $ 4.7 billion , $ 6.6 billion and $ 6.8 billion for 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.80723, "tfidftopn": {"table_4": "( dollars in millions ) The total debt-to-total capital ratio of 2015 is 45.8% ( 45.8 % ) ; The total debt-to-total capital ratio of 2016 is 46.7% ( 46.7 % ) ; The total debt-to-total capital ratio of 2017 is 34.8% ( 34.8 % ) ;"}, "program_re": "divide(3794, multiply(4.7, const_1000))", "model_input": [["table_1", "( dollars in millions ) the total assets of 2015 is $ 22088 ; the total assets of 2016 is 21732 ; the total assets of 2017 is 19589 ;"], ["table_2", "( dollars in millions ) the long-term debt of 2015 is $ 4289 ; the long-term debt of 2016 is 4051 ; the long-term debt of 2017 is 3794 ;"], ["text_20", "total debt , which includes long-term debt , current maturities of long-term debt , commercial paper and other short-term borrowings , was $ 4.7 billion , $ 6.6 billion and $ 6.8 billion for 2017 , 2016 and 2015 , respectively ."]]}, "answers": ["81%"]}, "rejected_source": {"id": "EMR/2017/page_53.pdf-2", "qa": {"question": "what percentage of total debt was long-term debt in 2016?", "answer": "61%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [20], "steps": [{"op": "multiply2-1", "arg1": "6.6", "arg2": "const_1000", "res": "6600"}, {"op": "divide2-2", "arg1": "4051", "arg2": "#0", "res": "61%"}], "program": "multiply(6.6, const_1000), divide(4051, #0)", "gold_inds": {"table_2": "( dollars in millions ) the long-term debt of 2015 is $ 4289 ; the long-term debt of 2016 is 4051 ; the long-term debt of 2017 is 3794 ;", "text_20": "total debt , which includes long-term debt , current maturities of long-term debt , commercial paper and other short-term borrowings , was $ 4.7 billion , $ 6.6 billion and $ 6.8 billion for 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.61379, "tfidftopn": {"table_4": "( dollars in millions ) The total debt-to-total capital ratio of 2015 is 45.8% ( 45.8 % ) ; The total debt-to-total capital ratio of 2016 is 46.7% ( 46.7 % ) ; The total debt-to-total capital ratio of 2017 is 34.8% ( 34.8 % ) ;"}, "program_re": "divide(4051, multiply(6.6, const_1000))", "model_input": [["table_1", "( dollars in millions ) the total assets of 2015 is $ 22088 ; the total assets of 2016 is 21732 ; the total assets of 2017 is 19589 ;"], ["table_2", "( dollars in millions ) the long-term debt of 2015 is $ 4289 ; the long-term debt of 2016 is 4051 ; the long-term debt of 2017 is 3794 ;"], ["text_20", "total debt , which includes long-term debt , current maturities of long-term debt , commercial paper and other short-term borrowings , was $ 4.7 billion , $ 6.6 billion and $ 6.8 billion for 2017 , 2016 and 2015 , respectively ."]]}, "answers": ["61%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001197", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total revenues net of interest expense was non-interest revenue in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "27%.", "rejected": "29%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percent of total revenues net of interest expense was non-interest revenue <TIME>?", "doc_prefix": "C", "base_question": "what percent of total revenues net of interest expense was non-interest revenue <TIME>?", "original_question": "what percent of total revenues net of interest expense was non-interest revenue in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"27%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "29%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "C/2009/page_42.pdf-2", "qa": {"question": "what percent of total revenues net of interest expense was non-interest revenue in 2008?", "answer": "27%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "6550", "arg2": "24453", "res": "27%"}], "program": "divide(6550, 24453)", "gold_inds": {"table_2": "in millions of dollars the non-interest revenue of 2009 is 5473 ; the non-interest revenue of 2008 is 6550 ; the non-interest revenue of 2007 is 8584 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -16 ( 16 ) ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -24 ( 24 ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2009 is $ 19182 ; the total revenues net of interest expense of 2008 is $ 24453 ; the total revenues net of interest expense of 2007 is $ 26750 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 22 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 9 ) % ( % ) ;"}, "exe_ans": 0.26786, "tfidftopn": {"text_23": "2007 revenues , net of interest expense decreased 9% ( 9 % ) versus the prior year , mostly due to lower non-interest revenue ."}, "program_re": "divide(6550, 24453)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2009 is $ 13709 ; the net interest revenue of 2008 is $ 17903 ; the net interest revenue of 2007 is $ 18166 ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 23 ) % ( % ) ; the net interest revenue of % ( % ) change 2008 vs . 2007 is ( 1 ) % ( % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2009 is 5473 ; the non-interest revenue of 2008 is 6550 ; the non-interest revenue of 2007 is 8584 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -16 ( 16 ) ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -24 ( 24 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ 19182 ; the total revenues net of interest expense of 2008 is $ 24453 ; the total revenues net of interest expense of 2007 is $ 26750 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 22 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 9 ) % ( % ) ;"]]}, "answers": ["27%"]}, "rejected_source": {"id": "C/2009/page_42.pdf-1", "qa": {"question": "what percent of total revenues net of interest expense was non-interest revenue in 2009?", "answer": "29%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "5473", "arg2": "19182", "res": "29%"}], "program": "divide(5473, 19182)", "gold_inds": {"table_2": "in millions of dollars the non-interest revenue of 2009 is 5473 ; the non-interest revenue of 2008 is 6550 ; the non-interest revenue of 2007 is 8584 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -16 ( 16 ) ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -24 ( 24 ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2009 is $ 19182 ; the total revenues net of interest expense of 2008 is $ 24453 ; the total revenues net of interest expense of 2007 is $ 26750 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 22 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 9 ) % ( % ) ;"}, "exe_ans": 0.28532, "tfidftopn": {"text_23": "2007 revenues , net of interest expense decreased 9% ( 9 % ) versus the prior year , mostly due to lower non-interest revenue ."}, "program_re": "divide(5473, 19182)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2009 is $ 13709 ; the net interest revenue of 2008 is $ 17903 ; the net interest revenue of 2007 is $ 18166 ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 23 ) % ( % ) ; the net interest revenue of % ( % ) change 2008 vs . 2007 is ( 1 ) % ( % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2009 is 5473 ; the non-interest revenue of 2008 is 6550 ; the non-interest revenue of 2007 is 8584 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -16 ( 16 ) ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -24 ( 24 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ 19182 ; the total revenues net of interest expense of 2008 is $ 24453 ; the total revenues net of interest expense of 2007 is $ 26750 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 22 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 9 ) % ( % ) ;"]]}, "answers": ["29%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001198", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total revenues net of interest expense was non-interest revenue in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "29%.", "rejected": "27%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percent of total revenues net of interest expense was non-interest revenue <TIME>?", "doc_prefix": "C", "base_question": "what percent of total revenues net of interest expense was non-interest revenue <TIME>?", "original_question": "what percent of total revenues net of interest expense was non-interest revenue in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"27%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "29%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "C/2009/page_42.pdf-1", "qa": {"question": "what percent of total revenues net of interest expense was non-interest revenue in 2009?", "answer": "29%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "5473", "arg2": "19182", "res": "29%"}], "program": "divide(5473, 19182)", "gold_inds": {"table_2": "in millions of dollars the non-interest revenue of 2009 is 5473 ; the non-interest revenue of 2008 is 6550 ; the non-interest revenue of 2007 is 8584 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -16 ( 16 ) ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -24 ( 24 ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2009 is $ 19182 ; the total revenues net of interest expense of 2008 is $ 24453 ; the total revenues net of interest expense of 2007 is $ 26750 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 22 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 9 ) % ( % ) ;"}, "exe_ans": 0.28532, "tfidftopn": {"text_23": "2007 revenues , net of interest expense decreased 9% ( 9 % ) versus the prior year , mostly due to lower non-interest revenue ."}, "program_re": "divide(5473, 19182)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2009 is $ 13709 ; the net interest revenue of 2008 is $ 17903 ; the net interest revenue of 2007 is $ 18166 ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 23 ) % ( % ) ; the net interest revenue of % ( % ) change 2008 vs . 2007 is ( 1 ) % ( % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2009 is 5473 ; the non-interest revenue of 2008 is 6550 ; the non-interest revenue of 2007 is 8584 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -16 ( 16 ) ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -24 ( 24 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ 19182 ; the total revenues net of interest expense of 2008 is $ 24453 ; the total revenues net of interest expense of 2007 is $ 26750 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 22 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 9 ) % ( % ) ;"]]}, "answers": ["29%"]}, "rejected_source": {"id": "C/2009/page_42.pdf-2", "qa": {"question": "what percent of total revenues net of interest expense was non-interest revenue in 2008?", "answer": "27%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "6550", "arg2": "24453", "res": "27%"}], "program": "divide(6550, 24453)", "gold_inds": {"table_2": "in millions of dollars the non-interest revenue of 2009 is 5473 ; the non-interest revenue of 2008 is 6550 ; the non-interest revenue of 2007 is 8584 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -16 ( 16 ) ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -24 ( 24 ) ;", "table_3": "in millions of dollars the total revenues net of interest expense of 2009 is $ 19182 ; the total revenues net of interest expense of 2008 is $ 24453 ; the total revenues net of interest expense of 2007 is $ 26750 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 22 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 9 ) % ( % ) ;"}, "exe_ans": 0.26786, "tfidftopn": {"text_23": "2007 revenues , net of interest expense decreased 9% ( 9 % ) versus the prior year , mostly due to lower non-interest revenue ."}, "program_re": "divide(6550, 24453)", "model_input": [["table_1", "in millions of dollars the net interest revenue of 2009 is $ 13709 ; the net interest revenue of 2008 is $ 17903 ; the net interest revenue of 2007 is $ 18166 ; the net interest revenue of % ( % ) change 2009 vs . 2008 is ( 23 ) % ( % ) ; the net interest revenue of % ( % ) change 2008 vs . 2007 is ( 1 ) % ( % ) ;"], ["table_2", "in millions of dollars the non-interest revenue of 2009 is 5473 ; the non-interest revenue of 2008 is 6550 ; the non-interest revenue of 2007 is 8584 ; the non-interest revenue of % ( % ) change 2009 vs . 2008 is -16 ( 16 ) ; the non-interest revenue of % ( % ) change 2008 vs . 2007 is -24 ( 24 ) ;"], ["table_3", "in millions of dollars the total revenues net of interest expense of 2009 is $ 19182 ; the total revenues net of interest expense of 2008 is $ 24453 ; the total revenues net of interest expense of 2007 is $ 26750 ; the total revenues net of interest expense of % ( % ) change 2009 vs . 2008 is ( 22 ) % ( % ) ; the total revenues net of interest expense of % ( % ) change 2008 vs . 2007 is ( 9 ) % ( % ) ;"]]}, "answers": ["27%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001199", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the annual operating cash flow between 2010 and 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "102%.", "rejected": "36%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in the annual operating cash flow <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in the annual operating cash flow <TIME>?", "original_question": "what was the percentage change in the annual operating cash flow between 2010 and 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"102%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011"}], "36%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_38.pdf-4", "qa": {"question": "what was the percentage change in the annual operating cash flow between 2010 and 2011?", "answer": "102%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "37529", "arg2": "18595", "res": "18934"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18595", "res": "102%"}], "program": "subtract(37529, 18595), divide(#0, 18595)", "gold_inds": {"table_5": "the annual operating cash flow of 2012 is $ 50856 ; the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ;"}, "exe_ans": 1.01823, "tfidftopn": {"table_1": "The cash cash equivalents and marketable securities of 2012 is $ 121251 ; The cash cash equivalents and marketable securities of 2011 is $ 81570 ; The cash cash equivalents and marketable securities of 2010 is $ 51011 ;", "text_14": "as of september 29 , 2012 , the company had $ 121.3 billion in cash , cash equivalents and marketable securities , an increase of $ 39.7 billion or 49% ( 49 % ) from september 24 , 2011 ."}, "program_re": "divide(subtract(37529, 18595), 18595)", "model_input": [["text_0", "35% ( 35 % ) due primarily to certain undistributed foreign earnings for which no u.s ."], ["table_1", "the cash cash equivalents and marketable securities of 2012 is $ 121251 ; the cash cash equivalents and marketable securities of 2011 is $ 81570 ; the cash cash equivalents and marketable securities of 2010 is $ 51011 ;"], ["table_5", "the annual operating cash flow of 2012 is $ 50856 ; the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ;"]]}, "answers": ["102%"]}, "rejected_source": {"id": "AAPL/2012/page_38.pdf-3", "qa": {"question": "what was the percentage change in the annual operating cash flow between 2011 and 2012?", "answer": "36%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "50856", "arg2": "37529", "res": "13327"}, {"op": "divide1-2", "arg1": "#0", "arg2": "37529", "res": "36%"}], "program": "subtract(50856, 37529), divide(#0, 37529)", "gold_inds": {"table_5": "the annual operating cash flow of 2012 is $ 50856 ; the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ;"}, "exe_ans": 0.35511, "tfidftopn": {"table_1": "The cash cash equivalents and marketable securities of 2012 is $ 121251 ; The cash cash equivalents and marketable securities of 2011 is $ 81570 ; The cash cash equivalents and marketable securities of 2010 is $ 51011 ;", "text_14": "as of september 29 , 2012 , the company had $ 121.3 billion in cash , cash equivalents and marketable securities , an increase of $ 39.7 billion or 49% ( 49 % ) from september 24 , 2011 ."}, "program_re": "divide(subtract(50856, 37529), 37529)", "model_input": [["table_1", "the cash cash equivalents and marketable securities of 2012 is $ 121251 ; the cash cash equivalents and marketable securities of 2011 is $ 81570 ; the cash cash equivalents and marketable securities of 2010 is $ 51011 ;"], ["table_5", "the annual operating cash flow of 2012 is $ 50856 ; the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ;"], ["text_22", "the company believes its existing balances of cash , cash equivalents and marketable securities will be sufficient to satisfy its working capital needs , capital asset purchases , outstanding commitments , common stock repurchases , dividends on its common stock , and other liquidity requirements associated with its existing operations over the next 12 months ."]]}, "answers": ["36%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001200", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the annual operating cash flow between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "36%.", "rejected": "102%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what was the percentage change in the annual operating cash flow <TIME>?", "doc_prefix": "AAPL", "base_question": "what was the percentage change in the annual operating cash flow <TIME>?", "original_question": "what was the percentage change in the annual operating cash flow between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"102%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "between 2010 and 2011"}], "36%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}]}, "chosen_source": {"id": "AAPL/2012/page_38.pdf-3", "qa": {"question": "what was the percentage change in the annual operating cash flow between 2011 and 2012?", "answer": "36%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "50856", "arg2": "37529", "res": "13327"}, {"op": "divide1-2", "arg1": "#0", "arg2": "37529", "res": "36%"}], "program": "subtract(50856, 37529), divide(#0, 37529)", "gold_inds": {"table_5": "the annual operating cash flow of 2012 is $ 50856 ; the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ;"}, "exe_ans": 0.35511, "tfidftopn": {"table_1": "The cash cash equivalents and marketable securities of 2012 is $ 121251 ; The cash cash equivalents and marketable securities of 2011 is $ 81570 ; The cash cash equivalents and marketable securities of 2010 is $ 51011 ;", "text_14": "as of september 29 , 2012 , the company had $ 121.3 billion in cash , cash equivalents and marketable securities , an increase of $ 39.7 billion or 49% ( 49 % ) from september 24 , 2011 ."}, "program_re": "divide(subtract(50856, 37529), 37529)", "model_input": [["table_1", "the cash cash equivalents and marketable securities of 2012 is $ 121251 ; the cash cash equivalents and marketable securities of 2011 is $ 81570 ; the cash cash equivalents and marketable securities of 2010 is $ 51011 ;"], ["table_5", "the annual operating cash flow of 2012 is $ 50856 ; the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ;"], ["text_22", "the company believes its existing balances of cash , cash equivalents and marketable securities will be sufficient to satisfy its working capital needs , capital asset purchases , outstanding commitments , common stock repurchases , dividends on its common stock , and other liquidity requirements associated with its existing operations over the next 12 months ."]]}, "answers": ["36%"]}, "rejected_source": {"id": "AAPL/2012/page_38.pdf-4", "qa": {"question": "what was the percentage change in the annual operating cash flow between 2010 and 2011?", "answer": "102%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "37529", "arg2": "18595", "res": "18934"}, {"op": "divide2-2", "arg1": "#0", "arg2": "18595", "res": "102%"}], "program": "subtract(37529, 18595), divide(#0, 18595)", "gold_inds": {"table_5": "the annual operating cash flow of 2012 is $ 50856 ; the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ;"}, "exe_ans": 1.01823, "tfidftopn": {"table_1": "The cash cash equivalents and marketable securities of 2012 is $ 121251 ; The cash cash equivalents and marketable securities of 2011 is $ 81570 ; The cash cash equivalents and marketable securities of 2010 is $ 51011 ;", "text_14": "as of september 29 , 2012 , the company had $ 121.3 billion in cash , cash equivalents and marketable securities , an increase of $ 39.7 billion or 49% ( 49 % ) from september 24 , 2011 ."}, "program_re": "divide(subtract(37529, 18595), 18595)", "model_input": [["text_0", "35% ( 35 % ) due primarily to certain undistributed foreign earnings for which no u.s ."], ["table_1", "the cash cash equivalents and marketable securities of 2012 is $ 121251 ; the cash cash equivalents and marketable securities of 2011 is $ 81570 ; the cash cash equivalents and marketable securities of 2010 is $ 51011 ;"], ["table_5", "the annual operating cash flow of 2012 is $ 50856 ; the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ;"]]}, "answers": ["102%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001201", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of global payments from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "37.8%.", "rejected": "49.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what is the roi of global payments <TIME>?", "doc_prefix": "GPN", "base_question": "what is the roi of global payments <TIME>?", "original_question": "what is the roi of global payments from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"37.8%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "49.0%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}]}, "chosen_source": {"id": "GPN/2008/page_39.pdf-3", "qa": {"question": "what is the roi of global payments from 2003 to 2004?", "answer": "37.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "137.75", "arg2": "const_100", "res": "37.75"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "37.8%"}], "program": "subtract(137.75, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the may 31 2003 of global payments is $ 100.00 ; the may 31 2003 of s&p 500 is $ 100.00 ; the may 31 2003 of s&p information technology is $ 100.00 ;", "table_2": "the may 31 2004 of global payments is 137.75 ; the may 31 2004 of s&p 500 is 118.33 ; the may 31 2004 of s&p information technology is 121.98 ;"}, "exe_ans": 0.3775, "tfidftopn": {"text_5": "global payments s&p 500 information technology ."}, "program_re": "divide(subtract(137.75, const_100), const_100)", "model_input": [["table_1", "the may 31 2003 of global payments is $ 100.00 ; the may 31 2003 of s&p 500 is $ 100.00 ; the may 31 2003 of s&p information technology is $ 100.00 ;"], ["table_2", "the may 31 2004 of global payments is 137.75 ; the may 31 2004 of s&p 500 is 118.33 ; the may 31 2004 of s&p information technology is 121.98 ;"], ["table_3", "the may 31 2005 of global payments is 205.20 ; the may 31 2005 of s&p 500 is 128.07 ; the may 31 2005 of s&p information technology is 123.08 ;"]]}, "answers": ["37.8%"]}, "rejected_source": {"id": "GPN/2008/page_39.pdf-2", "qa": {"question": "what is the roi of global payments from 2004 to 2005?", "answer": "49.0%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "205.20", "arg2": "137.75", "res": "67.45"}, {"op": "divide2-2", "arg1": "#0", "arg2": "137.75", "res": "49.0%"}], "program": "subtract(205.20, 137.75), divide(#0, 137.75)", "gold_inds": {"table_2": "the may 31 2004 of global payments is 137.75 ; the may 31 2004 of s&p 500 is 118.33 ; the may 31 2004 of s&p information technology is 121.98 ;", "table_3": "the may 31 2005 of global payments is 205.20 ; the may 31 2005 of s&p 500 is 128.07 ; the may 31 2005 of s&p information technology is 123.08 ;"}, "exe_ans": 0.48966, "tfidftopn": {"text_5": "global payments s&p 500 information technology ."}, "program_re": "divide(subtract(205.20, 137.75), 137.75)", "model_input": [["table_1", "the may 31 2003 of global payments is $ 100.00 ; the may 31 2003 of s&p 500 is $ 100.00 ; the may 31 2003 of s&p information technology is $ 100.00 ;"], ["table_2", "the may 31 2004 of global payments is 137.75 ; the may 31 2004 of s&p 500 is 118.33 ; the may 31 2004 of s&p information technology is 121.98 ;"], ["table_3", "the may 31 2005 of global payments is 205.20 ; the may 31 2005 of s&p 500 is 128.07 ; the may 31 2005 of s&p information technology is 123.08 ;"]]}, "answers": ["49.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001202", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of global payments from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "49.0%.", "rejected": "37.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GPN || what is the roi of global payments <TIME>?", "doc_prefix": "GPN", "base_question": "what is the roi of global payments <TIME>?", "original_question": "what is the roi of global payments from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"37.8%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}], "49.0%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}]}, "chosen_source": {"id": "GPN/2008/page_39.pdf-2", "qa": {"question": "what is the roi of global payments from 2004 to 2005?", "answer": "49.0%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "205.20", "arg2": "137.75", "res": "67.45"}, {"op": "divide2-2", "arg1": "#0", "arg2": "137.75", "res": "49.0%"}], "program": "subtract(205.20, 137.75), divide(#0, 137.75)", "gold_inds": {"table_2": "the may 31 2004 of global payments is 137.75 ; the may 31 2004 of s&p 500 is 118.33 ; the may 31 2004 of s&p information technology is 121.98 ;", "table_3": "the may 31 2005 of global payments is 205.20 ; the may 31 2005 of s&p 500 is 128.07 ; the may 31 2005 of s&p information technology is 123.08 ;"}, "exe_ans": 0.48966, "tfidftopn": {"text_5": "global payments s&p 500 information technology ."}, "program_re": "divide(subtract(205.20, 137.75), 137.75)", "model_input": [["table_1", "the may 31 2003 of global payments is $ 100.00 ; the may 31 2003 of s&p 500 is $ 100.00 ; the may 31 2003 of s&p information technology is $ 100.00 ;"], ["table_2", "the may 31 2004 of global payments is 137.75 ; the may 31 2004 of s&p 500 is 118.33 ; the may 31 2004 of s&p information technology is 121.98 ;"], ["table_3", "the may 31 2005 of global payments is 205.20 ; the may 31 2005 of s&p 500 is 128.07 ; the may 31 2005 of s&p information technology is 123.08 ;"]]}, "answers": ["49.0%"]}, "rejected_source": {"id": "GPN/2008/page_39.pdf-3", "qa": {"question": "what is the roi of global payments from 2003 to 2004?", "answer": "37.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "137.75", "arg2": "const_100", "res": "37.75"}, {"op": "divide1-2", "arg1": "#0", "arg2": "const_100", "res": "37.8%"}], "program": "subtract(137.75, const_100), divide(#0, const_100)", "gold_inds": {"table_1": "the may 31 2003 of global payments is $ 100.00 ; the may 31 2003 of s&p 500 is $ 100.00 ; the may 31 2003 of s&p information technology is $ 100.00 ;", "table_2": "the may 31 2004 of global payments is 137.75 ; the may 31 2004 of s&p 500 is 118.33 ; the may 31 2004 of s&p information technology is 121.98 ;"}, "exe_ans": 0.3775, "tfidftopn": {"text_5": "global payments s&p 500 information technology ."}, "program_re": "divide(subtract(137.75, const_100), const_100)", "model_input": [["table_1", "the may 31 2003 of global payments is $ 100.00 ; the may 31 2003 of s&p 500 is $ 100.00 ; the may 31 2003 of s&p information technology is $ 100.00 ;"], ["table_2", "the may 31 2004 of global payments is 137.75 ; the may 31 2004 of s&p 500 is 118.33 ; the may 31 2004 of s&p information technology is 121.98 ;"], ["table_3", "the may 31 2005 of global payments is 205.20 ; the may 31 2005 of s&p 500 is 128.07 ; the may 31 2005 of s&p information technology is 123.08 ;"]]}, "answers": ["37.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001203", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the expected change according to the model in the fair value per share between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-4.46.", "rejected": "4.03.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EW || what is the expected change according to the model in the fair value per share <TIME>?", "doc_prefix": "EW", "base_question": "what is the expected change according to the model in the fair value per share <TIME>?", "original_question": "what is the expected change according to the model in the fair value per share between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-4.46": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "4.03": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014"}]}, "chosen_source": {"id": "EW/2014/page_90.pdf-2", "qa": {"question": "what is the expected change according to the model in the fair value per share between 2012 and 2013?", "answer": "-4.46", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "19.47", "arg2": "23.93", "res": "-4.46"}], "program": "subtract(19.47, 23.93)", "gold_inds": {"table_5": "the fair value per share of 2014 is $ 23.50 ; the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ;"}, "exe_ans": -4.46, "tfidftopn": {"table_2": "The expected dividend yield of 2014 is none ; The expected dividend yield of 2013 is none ; The expected dividend yield of 2012 is none ;", "table_4": "The expected life ( years ) of 2014 is 4.6 ; The expected life ( years ) of 2013 is 4.6 ; The expected life ( years ) of 2012 is 4.6 ;"}, "program_re": "subtract(19.47, 23.93)", "model_input": [["text_16", "the fair value of each option award and employee stock purchase subscription is estimated on the date of grant using the black-scholes option valuation model that uses the assumptions noted in the following tables ."], ["table_3", "the expected volatility of 2014 is 31% ( 31 % ) ; the expected volatility of 2013 is 31% ( 31 % ) ; the expected volatility of 2012 is 31% ( 31 % ) ;"], ["table_5", "the fair value per share of 2014 is $ 23.50 ; the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ;"]]}, "answers": ["-4.46"]}, "rejected_source": {"id": "EW/2014/page_90.pdf-1", "qa": {"question": "what is the expected change according to the model in the fair value per share between 2013 and 2014?", "answer": "4.03", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "23.50", "arg2": "19.47", "res": "4.03"}], "program": "subtract(23.50, 19.47)", "gold_inds": {"table_5": "the fair value per share of 2014 is $ 23.50 ; the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ;"}, "exe_ans": 4.03, "tfidftopn": {"table_2": "The expected dividend yield of 2014 is none ; The expected dividend yield of 2013 is none ; The expected dividend yield of 2012 is none ;", "table_4": "The expected life ( years ) of 2014 is 4.6 ; The expected life ( years ) of 2013 is 4.6 ; The expected life ( years ) of 2012 is 4.6 ;"}, "program_re": "subtract(23.50, 19.47)", "model_input": [["text_16", "the fair value of each option award and employee stock purchase subscription is estimated on the date of grant using the black-scholes option valuation model that uses the assumptions noted in the following tables ."], ["table_3", "the expected volatility of 2014 is 31% ( 31 % ) ; the expected volatility of 2013 is 31% ( 31 % ) ; the expected volatility of 2012 is 31% ( 31 % ) ;"], ["table_5", "the fair value per share of 2014 is $ 23.50 ; the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ;"]]}, "answers": ["4.03"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001204", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the expected change according to the model in the fair value per share between 2013 and 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "4.03.", "rejected": "-4.46.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EW || what is the expected change according to the model in the fair value per share <TIME>?", "doc_prefix": "EW", "base_question": "what is the expected change according to the model in the fair value per share <TIME>?", "original_question": "what is the expected change according to the model in the fair value per share between 2013 and 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-4.46": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}], "4.03": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014"}]}, "chosen_source": {"id": "EW/2014/page_90.pdf-1", "qa": {"question": "what is the expected change according to the model in the fair value per share between 2013 and 2014?", "answer": "4.03", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "23.50", "arg2": "19.47", "res": "4.03"}], "program": "subtract(23.50, 19.47)", "gold_inds": {"table_5": "the fair value per share of 2014 is $ 23.50 ; the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ;"}, "exe_ans": 4.03, "tfidftopn": {"table_2": "The expected dividend yield of 2014 is none ; The expected dividend yield of 2013 is none ; The expected dividend yield of 2012 is none ;", "table_4": "The expected life ( years ) of 2014 is 4.6 ; The expected life ( years ) of 2013 is 4.6 ; The expected life ( years ) of 2012 is 4.6 ;"}, "program_re": "subtract(23.50, 19.47)", "model_input": [["text_16", "the fair value of each option award and employee stock purchase subscription is estimated on the date of grant using the black-scholes option valuation model that uses the assumptions noted in the following tables ."], ["table_3", "the expected volatility of 2014 is 31% ( 31 % ) ; the expected volatility of 2013 is 31% ( 31 % ) ; the expected volatility of 2012 is 31% ( 31 % ) ;"], ["table_5", "the fair value per share of 2014 is $ 23.50 ; the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ;"]]}, "answers": ["4.03"]}, "rejected_source": {"id": "EW/2014/page_90.pdf-2", "qa": {"question": "what is the expected change according to the model in the fair value per share between 2012 and 2013?", "answer": "-4.46", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "19.47", "arg2": "23.93", "res": "-4.46"}], "program": "subtract(19.47, 23.93)", "gold_inds": {"table_5": "the fair value per share of 2014 is $ 23.50 ; the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ;"}, "exe_ans": -4.46, "tfidftopn": {"table_2": "The expected dividend yield of 2014 is none ; The expected dividend yield of 2013 is none ; The expected dividend yield of 2012 is none ;", "table_4": "The expected life ( years ) of 2014 is 4.6 ; The expected life ( years ) of 2013 is 4.6 ; The expected life ( years ) of 2012 is 4.6 ;"}, "program_re": "subtract(19.47, 23.93)", "model_input": [["text_16", "the fair value of each option award and employee stock purchase subscription is estimated on the date of grant using the black-scholes option valuation model that uses the assumptions noted in the following tables ."], ["table_3", "the expected volatility of 2014 is 31% ( 31 % ) ; the expected volatility of 2013 is 31% ( 31 % ) ; the expected volatility of 2012 is 31% ( 31 % ) ;"], ["table_5", "the fair value per share of 2014 is $ 23.50 ; the fair value per share of 2013 is $ 19.47 ; the fair value per share of 2012 is $ 23.93 ;"]]}, "answers": ["-4.46"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001205", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in income from financial investments net in millions from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-49.", "rejected": "64.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAS || what was the difference in income from financial investments net in millions <TIME>?", "doc_prefix": "MAS", "base_question": "what was the difference in income from financial investments net in millions <TIME>?", "original_question": "what was the difference in income from financial investments net in millions from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"64": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-49": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "MAS/2012/page_86.pdf-3", "qa": {"question": "what was the difference in income from financial investments net in millions from 2011 to 2012?", "answer": "-49", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "24", "arg2": "73", "res": "-49"}], "program": "subtract(24, 73)", "gold_inds": {"table_3": "the income from financial investments net ( note e ) of 2012 is 24 ; the income from financial investments net ( note e ) of 2011 is 73 ; the income from financial investments net ( note e ) of 2010 is 9 ;"}, "exe_ans": -49.0, "tfidftopn": {"text_22": "other income ( expense ) , net other , net , which is included in other income ( expense ) , net , was as follows , in millions: .", "table_2": "The other interest income of 2012 is 1 ; The other interest income of 2011 is 1 ; The other interest income of 2010 is 1 ;"}, "program_re": "subtract(24, 73)", "model_input": [["text_2", "of $ 229 million , $ 241 million and $ 246 million in 2012 , 2011 and 2010 , respectively ."], ["table_1", "the income from cash and cash investments of 2012 is $ 6 ; the income from cash and cash investments of 2011 is $ 8 ; the income from cash and cash investments of 2010 is $ 6 ;"], ["table_3", "the income from financial investments net ( note e ) of 2012 is 24 ; the income from financial investments net ( note e ) of 2011 is 73 ; the income from financial investments net ( note e ) of 2010 is 9 ;"]]}, "answers": ["-49"]}, "rejected_source": {"id": "MAS/2012/page_86.pdf-4", "qa": {"question": "what was the difference in income from financial investments net in millions from 2010 to 2011?", "answer": "64", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "73", "arg2": "9", "res": "64"}], "program": "subtract(73, 9)", "gold_inds": {"table_3": "the income from financial investments net ( note e ) of 2012 is 24 ; the income from financial investments net ( note e ) of 2011 is 73 ; the income from financial investments net ( note e ) of 2010 is 9 ;"}, "exe_ans": 64.0, "tfidftopn": {"text_22": "other income ( expense ) , net other , net , which is included in other income ( expense ) , net , was as follows , in millions: .", "table_2": "The other interest income of 2012 is 1 ; The other interest income of 2011 is 1 ; The other interest income of 2010 is 1 ;"}, "program_re": "subtract(73, 9)", "model_input": [["text_2", "of $ 229 million , $ 241 million and $ 246 million in 2012 , 2011 and 2010 , respectively ."], ["table_1", "the income from cash and cash investments of 2012 is $ 6 ; the income from cash and cash investments of 2011 is $ 8 ; the income from cash and cash investments of 2010 is $ 6 ;"], ["table_3", "the income from financial investments net ( note e ) of 2012 is 24 ; the income from financial investments net ( note e ) of 2011 is 73 ; the income from financial investments net ( note e ) of 2010 is 9 ;"]]}, "answers": ["64"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001206", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in income from financial investments net in millions from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "64.", "rejected": "-49.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MAS || what was the difference in income from financial investments net in millions <TIME>?", "doc_prefix": "MAS", "base_question": "what was the difference in income from financial investments net in millions <TIME>?", "original_question": "what was the difference in income from financial investments net in millions from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"64": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-49": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "MAS/2012/page_86.pdf-4", "qa": {"question": "what was the difference in income from financial investments net in millions from 2010 to 2011?", "answer": "64", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "73", "arg2": "9", "res": "64"}], "program": "subtract(73, 9)", "gold_inds": {"table_3": "the income from financial investments net ( note e ) of 2012 is 24 ; the income from financial investments net ( note e ) of 2011 is 73 ; the income from financial investments net ( note e ) of 2010 is 9 ;"}, "exe_ans": 64.0, "tfidftopn": {"text_22": "other income ( expense ) , net other , net , which is included in other income ( expense ) , net , was as follows , in millions: .", "table_2": "The other interest income of 2012 is 1 ; The other interest income of 2011 is 1 ; The other interest income of 2010 is 1 ;"}, "program_re": "subtract(73, 9)", "model_input": [["text_2", "of $ 229 million , $ 241 million and $ 246 million in 2012 , 2011 and 2010 , respectively ."], ["table_1", "the income from cash and cash investments of 2012 is $ 6 ; the income from cash and cash investments of 2011 is $ 8 ; the income from cash and cash investments of 2010 is $ 6 ;"], ["table_3", "the income from financial investments net ( note e ) of 2012 is 24 ; the income from financial investments net ( note e ) of 2011 is 73 ; the income from financial investments net ( note e ) of 2010 is 9 ;"]]}, "answers": ["64"]}, "rejected_source": {"id": "MAS/2012/page_86.pdf-3", "qa": {"question": "what was the difference in income from financial investments net in millions from 2011 to 2012?", "answer": "-49", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "24", "arg2": "73", "res": "-49"}], "program": "subtract(24, 73)", "gold_inds": {"table_3": "the income from financial investments net ( note e ) of 2012 is 24 ; the income from financial investments net ( note e ) of 2011 is 73 ; the income from financial investments net ( note e ) of 2010 is 9 ;"}, "exe_ans": -49.0, "tfidftopn": {"text_22": "other income ( expense ) , net other , net , which is included in other income ( expense ) , net , was as follows , in millions: .", "table_2": "The other interest income of 2012 is 1 ; The other interest income of 2011 is 1 ; The other interest income of 2010 is 1 ;"}, "program_re": "subtract(24, 73)", "model_input": [["text_2", "of $ 229 million , $ 241 million and $ 246 million in 2012 , 2011 and 2010 , respectively ."], ["table_1", "the income from cash and cash investments of 2012 is $ 6 ; the income from cash and cash investments of 2011 is $ 8 ; the income from cash and cash investments of 2010 is $ 6 ;"], ["table_3", "the income from financial investments net ( note e ) of 2012 is 24 ; the income from financial investments net ( note e ) of 2011 is 73 ; the income from financial investments net ( note e ) of 2010 is 9 ;"]]}, "answers": ["-49"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001207", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in restaurants percentage of sales from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-2%.", "rejected": "1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SYY || what was the change in restaurants percentage of sales <TIME>?", "doc_prefix": "SYY", "base_question": "what was the change in restaurants percentage of sales <TIME>?", "original_question": "what was the change in restaurants percentage of sales from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "1%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "SYY/2014/page_16.pdf-1", "qa": {"question": "what was the change in restaurants percentage of sales from 2012 to 2013?", "answer": "-2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "61%", "arg2": "63%", "res": "-2"}], "program": "subtract(61%, 63%)", "gold_inds": {"table_1": "type of customer the restaurants of 2014 is 62% ( 62 % ) ; the restaurants of 2013 is 61% ( 61 % ) ; the restaurants of 2012 is 63% ( 63 % ) ;"}, "exe_ans": -0.02, "tfidftopn": {"table_5": "type of customer The other ( 1 ) of 2014 is 12 ; The other ( 1 ) of 2013 is 13 ; The other ( 1 ) of 2012 is 11 ;", "table_2": "type of customer The healthcare of 2014 is 9 ; The healthcare of 2013 is 10 ; The healthcare of 2012 is 10 ;"}, "program_re": "subtract(61%, 63%)", "model_input": [["text_8", "we estimate that our sales by type of customer during the past three fi scal years were as follows: ."], ["table_1", "type of customer the restaurants of 2014 is 62% ( 62 % ) ; the restaurants of 2013 is 61% ( 61 % ) ; the restaurants of 2012 is 63% ( 63 % ) ;"], ["text_21", "see the discussion in 201cmanagement 2019s discussion and analysis of financial condition and results of operations , liquidity and capital resources 201d at item 7 regarding our liquidity , fi nancial position and sources and uses of funds ."]]}, "answers": ["-2%"]}, "rejected_source": {"id": "SYY/2014/page_16.pdf-2", "qa": {"question": "what was the change in restaurants percentage of sales from 2013 to 2014?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "62%", "arg2": "61%", "res": "1%"}], "program": "subtract(62%, 61%)", "gold_inds": {"table_1": "type of customer the restaurants of 2014 is 62% ( 62 % ) ; the restaurants of 2013 is 61% ( 61 % ) ; the restaurants of 2012 is 63% ( 63 % ) ;"}, "exe_ans": 0.01, "tfidftopn": {"table_5": "type of customer The other ( 1 ) of 2014 is 12 ; The other ( 1 ) of 2013 is 13 ; The other ( 1 ) of 2012 is 11 ;", "text_7": "no single customer accounted for 10% ( 10 % ) or more of sysco 2019s total sales for the fi scal year ended june 28 , 2014 ."}, "program_re": "subtract(62%, 61%)", "model_input": [["text_8", "we estimate that our sales by type of customer during the past three fi scal years were as follows: ."], ["table_1", "type of customer the restaurants of 2014 is 62% ( 62 % ) ; the restaurants of 2013 is 61% ( 61 % ) ; the restaurants of 2012 is 63% ( 63 % ) ;"], ["text_21", "see the discussion in 201cmanagement 2019s discussion and analysis of financial condition and results of operations , liquidity and capital resources 201d at item 7 regarding our liquidity , fi nancial position and sources and uses of funds ."]]}, "answers": ["1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001208", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in restaurants percentage of sales from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "1%.", "rejected": "-2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "SYY || what was the change in restaurants percentage of sales <TIME>?", "doc_prefix": "SYY", "base_question": "what was the change in restaurants percentage of sales <TIME>?", "original_question": "what was the change in restaurants percentage of sales from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "1%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "SYY/2014/page_16.pdf-2", "qa": {"question": "what was the change in restaurants percentage of sales from 2013 to 2014?", "answer": "1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "62%", "arg2": "61%", "res": "1%"}], "program": "subtract(62%, 61%)", "gold_inds": {"table_1": "type of customer the restaurants of 2014 is 62% ( 62 % ) ; the restaurants of 2013 is 61% ( 61 % ) ; the restaurants of 2012 is 63% ( 63 % ) ;"}, "exe_ans": 0.01, "tfidftopn": {"table_5": "type of customer The other ( 1 ) of 2014 is 12 ; The other ( 1 ) of 2013 is 13 ; The other ( 1 ) of 2012 is 11 ;", "text_7": "no single customer accounted for 10% ( 10 % ) or more of sysco 2019s total sales for the fi scal year ended june 28 , 2014 ."}, "program_re": "subtract(62%, 61%)", "model_input": [["text_8", "we estimate that our sales by type of customer during the past three fi scal years were as follows: ."], ["table_1", "type of customer the restaurants of 2014 is 62% ( 62 % ) ; the restaurants of 2013 is 61% ( 61 % ) ; the restaurants of 2012 is 63% ( 63 % ) ;"], ["text_21", "see the discussion in 201cmanagement 2019s discussion and analysis of financial condition and results of operations , liquidity and capital resources 201d at item 7 regarding our liquidity , fi nancial position and sources and uses of funds ."]]}, "answers": ["1%"]}, "rejected_source": {"id": "SYY/2014/page_16.pdf-1", "qa": {"question": "what was the change in restaurants percentage of sales from 2012 to 2013?", "answer": "-2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "61%", "arg2": "63%", "res": "-2"}], "program": "subtract(61%, 63%)", "gold_inds": {"table_1": "type of customer the restaurants of 2014 is 62% ( 62 % ) ; the restaurants of 2013 is 61% ( 61 % ) ; the restaurants of 2012 is 63% ( 63 % ) ;"}, "exe_ans": -0.02, "tfidftopn": {"table_5": "type of customer The other ( 1 ) of 2014 is 12 ; The other ( 1 ) of 2013 is 13 ; The other ( 1 ) of 2012 is 11 ;", "table_2": "type of customer The healthcare of 2014 is 9 ; The healthcare of 2013 is 10 ; The healthcare of 2012 is 10 ;"}, "program_re": "subtract(61%, 63%)", "model_input": [["text_8", "we estimate that our sales by type of customer during the past three fi scal years were as follows: ."], ["table_1", "type of customer the restaurants of 2014 is 62% ( 62 % ) ; the restaurants of 2013 is 61% ( 61 % ) ; the restaurants of 2012 is 63% ( 63 % ) ;"], ["text_21", "see the discussion in 201cmanagement 2019s discussion and analysis of financial condition and results of operations , liquidity and capital resources 201d at item 7 regarding our liquidity , fi nancial position and sources and uses of funds ."]]}, "answers": ["-2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001209", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in advertising costs from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "173000.", "rejected": "210000.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ILMN || what was the change in advertising costs <TIME>?", "doc_prefix": "ILMN", "base_question": "what was the change in advertising costs <TIME>?", "original_question": "what was the change in advertising costs from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"210000": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "173000": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}]}, "chosen_source": {"id": "ILMN/2003/page_79.pdf-2", "qa": {"question": "what was the change in advertising costs from 2002 to 2003?", "answer": "173000", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "minus2-1", "arg1": "440000", "arg2": "267000", "res": "173000"}], "program": "subtract(440000, 267000)", "gold_inds": {"text_2": "advertising costs were approximately $ 440000 for 2003 , $ 267000 for 2002 and $ 57000 for 2001 ."}, "exe_ans": 173000.0, "tfidftopn": {"text_1": "notes to consolidated financial statements 2014 ( continued ) advertising costs the company expenses advertising costs as incurred .", "text_4": "deferred income tax expense is generally the net change during the year in the deferred income tax asset or liability ."}, "program_re": "subtract(440000, 267000)", "model_input": [["text_1", "notes to consolidated financial statements 2014 ( continued ) advertising costs the company expenses advertising costs as incurred ."], ["text_2", "advertising costs were approximately $ 440000 for 2003 , $ 267000 for 2002 and $ 57000 for 2001 ."], ["text_16", "the fair value for these options was estimated at the dates of grant using the fair value option pricing model ( black scholes ) with the following weighted-average assumptions for 2003 , 2002 and 2001 : year ended year ended year ended december 28 , december 29 , december 30 , 2003 2002 2001 weighted average risk-free interest rate******* 3.03% ( 3.03 % ) 3.73% ( 3.73 % ) 4.65% ( 4.65 % ) expected dividend yield********************* 0% ( 0 % ) 0% ( 0 % ) 0% ( 0 % ) weighted average volatility ****************** 103% ( 103 % ) 104% ( 104 % ) 119% ( 119 % ) estimated life ( in years ) ********************** 5 5 5 ."]]}, "answers": ["173000"]}, "rejected_source": {"id": "ILMN/2003/page_79.pdf-3", "qa": {"question": "what was the change in advertising costs from 2001 to 2002?", "answer": "210000", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "267000", "arg2": "57000", "res": "210000"}], "program": "subtract(267000, 57000)", "gold_inds": {"text_2": "advertising costs were approximately $ 440000 for 2003 , $ 267000 for 2002 and $ 57000 for 2001 ."}, "exe_ans": 210000.0, "tfidftopn": {"text_1": "notes to consolidated financial statements 2014 ( continued ) advertising costs the company expenses advertising costs as incurred .", "text_4": "deferred income tax expense is generally the net change during the year in the deferred income tax asset or liability ."}, "program_re": "subtract(267000, 57000)", "model_input": [["text_1", "notes to consolidated financial statements 2014 ( continued ) advertising costs the company expenses advertising costs as incurred ."], ["text_2", "advertising costs were approximately $ 440000 for 2003 , $ 267000 for 2002 and $ 57000 for 2001 ."], ["text_16", "the fair value for these options was estimated at the dates of grant using the fair value option pricing model ( black scholes ) with the following weighted-average assumptions for 2003 , 2002 and 2001 : year ended year ended year ended december 28 , december 29 , december 30 , 2003 2002 2001 weighted average risk-free interest rate******* 3.03% ( 3.03 % ) 3.73% ( 3.73 % ) 4.65% ( 4.65 % ) expected dividend yield********************* 0% ( 0 % ) 0% ( 0 % ) 0% ( 0 % ) weighted average volatility ****************** 103% ( 103 % ) 104% ( 104 % ) 119% ( 119 % ) estimated life ( in years ) ********************** 5 5 5 ."]]}, "answers": ["210000"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001210", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in advertising costs from 2001 to 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "210000.", "rejected": "173000.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ILMN || what was the change in advertising costs <TIME>?", "doc_prefix": "ILMN", "base_question": "what was the change in advertising costs <TIME>?", "original_question": "what was the change in advertising costs from 2001 to 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"210000": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}], "173000": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}]}, "chosen_source": {"id": "ILMN/2003/page_79.pdf-3", "qa": {"question": "what was the change in advertising costs from 2001 to 2002?", "answer": "210000", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "minus1-1", "arg1": "267000", "arg2": "57000", "res": "210000"}], "program": "subtract(267000, 57000)", "gold_inds": {"text_2": "advertising costs were approximately $ 440000 for 2003 , $ 267000 for 2002 and $ 57000 for 2001 ."}, "exe_ans": 210000.0, "tfidftopn": {"text_1": "notes to consolidated financial statements 2014 ( continued ) advertising costs the company expenses advertising costs as incurred .", "text_4": "deferred income tax expense is generally the net change during the year in the deferred income tax asset or liability ."}, "program_re": "subtract(267000, 57000)", "model_input": [["text_1", "notes to consolidated financial statements 2014 ( continued ) advertising costs the company expenses advertising costs as incurred ."], ["text_2", "advertising costs were approximately $ 440000 for 2003 , $ 267000 for 2002 and $ 57000 for 2001 ."], ["text_16", "the fair value for these options was estimated at the dates of grant using the fair value option pricing model ( black scholes ) with the following weighted-average assumptions for 2003 , 2002 and 2001 : year ended year ended year ended december 28 , december 29 , december 30 , 2003 2002 2001 weighted average risk-free interest rate******* 3.03% ( 3.03 % ) 3.73% ( 3.73 % ) 4.65% ( 4.65 % ) expected dividend yield********************* 0% ( 0 % ) 0% ( 0 % ) 0% ( 0 % ) weighted average volatility ****************** 103% ( 103 % ) 104% ( 104 % ) 119% ( 119 % ) estimated life ( in years ) ********************** 5 5 5 ."]]}, "answers": ["210000"]}, "rejected_source": {"id": "ILMN/2003/page_79.pdf-2", "qa": {"question": "what was the change in advertising costs from 2002 to 2003?", "answer": "173000", "explanation": "", "ann_table_rows": [], "ann_text_rows": [2], "steps": [{"op": "minus2-1", "arg1": "440000", "arg2": "267000", "res": "173000"}], "program": "subtract(440000, 267000)", "gold_inds": {"text_2": "advertising costs were approximately $ 440000 for 2003 , $ 267000 for 2002 and $ 57000 for 2001 ."}, "exe_ans": 173000.0, "tfidftopn": {"text_1": "notes to consolidated financial statements 2014 ( continued ) advertising costs the company expenses advertising costs as incurred .", "text_4": "deferred income tax expense is generally the net change during the year in the deferred income tax asset or liability ."}, "program_re": "subtract(440000, 267000)", "model_input": [["text_1", "notes to consolidated financial statements 2014 ( continued ) advertising costs the company expenses advertising costs as incurred ."], ["text_2", "advertising costs were approximately $ 440000 for 2003 , $ 267000 for 2002 and $ 57000 for 2001 ."], ["text_16", "the fair value for these options was estimated at the dates of grant using the fair value option pricing model ( black scholes ) with the following weighted-average assumptions for 2003 , 2002 and 2001 : year ended year ended year ended december 28 , december 29 , december 30 , 2003 2002 2001 weighted average risk-free interest rate******* 3.03% ( 3.03 % ) 3.73% ( 3.73 % ) 4.65% ( 4.65 % ) expected dividend yield********************* 0% ( 0 % ) 0% ( 0 % ) 0% ( 0 % ) weighted average volatility ****************** 103% ( 103 % ) 104% ( 104 % ) 119% ( 119 % ) estimated life ( in years ) ********************** 5 5 5 ."]]}, "answers": ["173000"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001211", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method between 2001 and 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "-60%.", "rejected": "49%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method <TIME>?", "doc_prefix": "AES", "base_question": "what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method <TIME>?", "original_question": "what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method between 2001 and 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "between 2001 and 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-60%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "between 2001 and 2002"}], "49%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003"}]}, "chosen_source": {"id": "AES/2003/page_112.pdf-1", "qa": {"question": "what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method between 2001 and 2002?", "answer": "-60%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "695", "arg2": "1717", "res": "-1022"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1717", "res": "-60%"}], "program": "subtract(695, 1717), divide(#0, 1717)", "gold_inds": {"table_2": "as of and for the years ended december 31 , the operating income of 2003 is 1039 ; the operating income of 2002 ( 1 ) is 695 ; the operating income of 2001 ( 1 ) is 1717 ;"}, "exe_ans": -0.59522, "tfidftopn": {"text_21": "the following tables present summarized comparative financial information ( in millions ) of the entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method. .", "text_14": "cesco is accounted for as a cost method investment ."}, "program_re": "divide(subtract(695, 1717), 1717)", "model_input": [["text_4", "during the fourth quarter of 2003 , the company sold its 25% ( 25 % ) ownership interest in medway power limited ( 2018 2018mpl 2019 2019 ) , a 688 mw natural gas-fired combined cycle facility located in the united kingdom , and aes medway operations limited ( 2018 2018aesmo 2019 2019 ) , the operating company for the facility , in an aggregate transaction valued at approximately a347 million ( $ 78 million ) ."], ["table_1", "as of and for the years ended december 31, the revenues of 2003 is $ 2758 ; the revenues of 2002 ( 1 ) is $ 2832 ; the revenues of 2001 ( 1 ) is $ 6147 ;"], ["table_2", "as of and for the years ended december 31 , the operating income of 2003 is 1039 ; the operating income of 2002 ( 1 ) is 695 ; the operating income of 2001 ( 1 ) is 1717 ;"]]}, "answers": ["-60%"]}, "rejected_source": {"id": "AES/2003/page_112.pdf-4", "qa": {"question": "what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method between 2002 and 2003?", "answer": "49%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1039", "arg2": "695", "res": "344"}, {"op": "divide2-2", "arg1": "#0", "arg2": "695", "res": "49%"}], "program": "subtract(1039, 695), divide(#0, 695)", "gold_inds": {"table_2": "as of and for the years ended december 31 , the operating income of 2003 is 1039 ; the operating income of 2002 ( 1 ) is 695 ; the operating income of 2001 ( 1 ) is 1717 ;"}, "exe_ans": 0.49496, "tfidftopn": {"text_21": "the following tables present summarized comparative financial information ( in millions ) of the entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method. .", "text_14": "cesco is accounted for as a cost method investment ."}, "program_re": "divide(subtract(1039, 695), 695)", "model_input": [["text_4", "during the fourth quarter of 2003 , the company sold its 25% ( 25 % ) ownership interest in medway power limited ( 2018 2018mpl 2019 2019 ) , a 688 mw natural gas-fired combined cycle facility located in the united kingdom , and aes medway operations limited ( 2018 2018aesmo 2019 2019 ) , the operating company for the facility , in an aggregate transaction valued at approximately a347 million ( $ 78 million ) ."], ["table_1", "as of and for the years ended december 31, the revenues of 2003 is $ 2758 ; the revenues of 2002 ( 1 ) is $ 2832 ; the revenues of 2001 ( 1 ) is $ 6147 ;"], ["table_2", "as of and for the years ended december 31 , the operating income of 2003 is 1039 ; the operating income of 2002 ( 1 ) is 695 ; the operating income of 2001 ( 1 ) is 1717 ;"]]}, "answers": ["49%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001212", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method between 2002 and 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "49%.", "rejected": "-60%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AES || what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method <TIME>?", "doc_prefix": "AES", "base_question": "what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method <TIME>?", "original_question": "what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method between 2002 and 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-60%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "between 2001 and 2002"}], "49%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003"}]}, "chosen_source": {"id": "AES/2003/page_112.pdf-4", "qa": {"question": "what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method between 2002 and 2003?", "answer": "49%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1039", "arg2": "695", "res": "344"}, {"op": "divide2-2", "arg1": "#0", "arg2": "695", "res": "49%"}], "program": "subtract(1039, 695), divide(#0, 695)", "gold_inds": {"table_2": "as of and for the years ended december 31 , the operating income of 2003 is 1039 ; the operating income of 2002 ( 1 ) is 695 ; the operating income of 2001 ( 1 ) is 1717 ;"}, "exe_ans": 0.49496, "tfidftopn": {"text_21": "the following tables present summarized comparative financial information ( in millions ) of the entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method. .", "text_14": "cesco is accounted for as a cost method investment ."}, "program_re": "divide(subtract(1039, 695), 695)", "model_input": [["text_4", "during the fourth quarter of 2003 , the company sold its 25% ( 25 % ) ownership interest in medway power limited ( 2018 2018mpl 2019 2019 ) , a 688 mw natural gas-fired combined cycle facility located in the united kingdom , and aes medway operations limited ( 2018 2018aesmo 2019 2019 ) , the operating company for the facility , in an aggregate transaction valued at approximately a347 million ( $ 78 million ) ."], ["table_1", "as of and for the years ended december 31, the revenues of 2003 is $ 2758 ; the revenues of 2002 ( 1 ) is $ 2832 ; the revenues of 2001 ( 1 ) is $ 6147 ;"], ["table_2", "as of and for the years ended december 31 , the operating income of 2003 is 1039 ; the operating income of 2002 ( 1 ) is 695 ; the operating income of 2001 ( 1 ) is 1717 ;"]]}, "answers": ["49%"]}, "rejected_source": {"id": "AES/2003/page_112.pdf-1", "qa": {"question": "what was the percentage change in operating income for entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method between 2001 and 2002?", "answer": "-60%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "695", "arg2": "1717", "res": "-1022"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1717", "res": "-60%"}], "program": "subtract(695, 1717), divide(#0, 1717)", "gold_inds": {"table_2": "as of and for the years ended december 31 , the operating income of 2003 is 1039 ; the operating income of 2002 ( 1 ) is 695 ; the operating income of 2001 ( 1 ) is 1717 ;"}, "exe_ans": -0.59522, "tfidftopn": {"text_21": "the following tables present summarized comparative financial information ( in millions ) of the entities in which the company has the ability to exercise significant influence but does not control and that are accounted for using the equity method. .", "text_14": "cesco is accounted for as a cost method investment ."}, "program_re": "divide(subtract(695, 1717), 1717)", "model_input": [["text_4", "during the fourth quarter of 2003 , the company sold its 25% ( 25 % ) ownership interest in medway power limited ( 2018 2018mpl 2019 2019 ) , a 688 mw natural gas-fired combined cycle facility located in the united kingdom , and aes medway operations limited ( 2018 2018aesmo 2019 2019 ) , the operating company for the facility , in an aggregate transaction valued at approximately a347 million ( $ 78 million ) ."], ["table_1", "as of and for the years ended december 31, the revenues of 2003 is $ 2758 ; the revenues of 2002 ( 1 ) is $ 2832 ; the revenues of 2001 ( 1 ) is $ 6147 ;"], ["table_2", "as of and for the years ended december 31 , the operating income of 2003 is 1039 ; the operating income of 2002 ( 1 ) is 695 ; the operating income of 2001 ( 1 ) is 1717 ;"]]}, "answers": ["-60%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001213", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the effective tax rate for pca in 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "38%.", "rejected": "40%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the effective tax rate for pca <TIME>?", "doc_prefix": "PKG", "base_question": "what was the effective tax rate for pca <TIME>?", "original_question": "what was the effective tax rate for pca in 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "40%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "PKG/2005/page_27.pdf-4", "qa": {"question": "what was the effective tax rate for pca in 2004?", "answer": "38%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "42.2", "arg2": "110.9", "res": "38%"}], "program": "divide(42.2, 110.9)", "gold_inds": {"table_4": "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;", "table_5": "( in millions ) the provision for income taxes of for the year ended december 31 , 2005 is -35.4 ( 35.4 ) ; the provision for income taxes of for the year ended december 31 , 2004 is -42.2 ( 42.2 ) ; the provision for income taxes of change is 6.8 ;"}, "exe_ans": 0.38052, "tfidftopn": {"text_12": "excluding pca 2019s acquisition of midland container in april 2005 , corrugated products volume was 3.0% ( 3.0 % ) higher in 2005 than 2004 and up 3.4% ( 3.4 % ) compared to 2004 on a shipment-per-workday basis ."}, "program_re": "divide(42.2, 110.9)", "model_input": [["table_2", "( in millions ) the income before interest and taxes of for the year ended december 31 , 2005 is $ 116.1 ; the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"], ["table_5", "( in millions ) the provision for income taxes of for the year ended december 31 , 2005 is -35.4 ( 35.4 ) ; the provision for income taxes of for the year ended december 31 , 2004 is -42.2 ( 42.2 ) ; the provision for income taxes of change is 6.8 ;"]]}, "answers": ["38%"]}, "rejected_source": {"id": "PKG/2005/page_27.pdf-2", "qa": {"question": "what was the effective tax rate for pca in 2005?", "answer": "40%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "35.4", "arg2": "88.0", "res": "40%"}], "program": "divide(35.4, 88.0)", "gold_inds": {"table_4": "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;", "table_5": "( in millions ) the provision for income taxes of for the year ended december 31 , 2005 is -35.4 ( 35.4 ) ; the provision for income taxes of for the year ended december 31 , 2004 is -42.2 ( 42.2 ) ; the provision for income taxes of change is 6.8 ;"}, "exe_ans": 0.40227, "tfidftopn": {"text_12": "excluding pca 2019s acquisition of midland container in april 2005 , corrugated products volume was 3.0% ( 3.0 % ) higher in 2005 than 2004 and up 3.4% ( 3.4 % ) compared to 2004 on a shipment-per-workday basis ."}, "program_re": "divide(35.4, 88.0)", "model_input": [["table_2", "( in millions ) the income before interest and taxes of for the year ended december 31 , 2005 is $ 116.1 ; the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"], ["table_5", "( in millions ) the provision for income taxes of for the year ended december 31 , 2005 is -35.4 ( 35.4 ) ; the provision for income taxes of for the year ended december 31 , 2004 is -42.2 ( 42.2 ) ; the provision for income taxes of change is 6.8 ;"]]}, "answers": ["40%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001214", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the effective tax rate for pca in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "40%.", "rejected": "38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the effective tax rate for pca <TIME>?", "doc_prefix": "PKG", "base_question": "what was the effective tax rate for pca <TIME>?", "original_question": "what was the effective tax rate for pca in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"38%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "40%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "PKG/2005/page_27.pdf-2", "qa": {"question": "what was the effective tax rate for pca in 2005?", "answer": "40%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "35.4", "arg2": "88.0", "res": "40%"}], "program": "divide(35.4, 88.0)", "gold_inds": {"table_4": "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;", "table_5": "( in millions ) the provision for income taxes of for the year ended december 31 , 2005 is -35.4 ( 35.4 ) ; the provision for income taxes of for the year ended december 31 , 2004 is -42.2 ( 42.2 ) ; the provision for income taxes of change is 6.8 ;"}, "exe_ans": 0.40227, "tfidftopn": {"text_12": "excluding pca 2019s acquisition of midland container in april 2005 , corrugated products volume was 3.0% ( 3.0 % ) higher in 2005 than 2004 and up 3.4% ( 3.4 % ) compared to 2004 on a shipment-per-workday basis ."}, "program_re": "divide(35.4, 88.0)", "model_input": [["table_2", "( in millions ) the income before interest and taxes of for the year ended december 31 , 2005 is $ 116.1 ; the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"], ["table_5", "( in millions ) the provision for income taxes of for the year ended december 31 , 2005 is -35.4 ( 35.4 ) ; the provision for income taxes of for the year ended december 31 , 2004 is -42.2 ( 42.2 ) ; the provision for income taxes of change is 6.8 ;"]]}, "answers": ["40%"]}, "rejected_source": {"id": "PKG/2005/page_27.pdf-4", "qa": {"question": "what was the effective tax rate for pca in 2004?", "answer": "38%", "explanation": "", "ann_table_rows": [4, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "42.2", "arg2": "110.9", "res": "38%"}], "program": "divide(42.2, 110.9)", "gold_inds": {"table_4": "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;", "table_5": "( in millions ) the provision for income taxes of for the year ended december 31 , 2005 is -35.4 ( 35.4 ) ; the provision for income taxes of for the year ended december 31 , 2004 is -42.2 ( 42.2 ) ; the provision for income taxes of change is 6.8 ;"}, "exe_ans": 0.38052, "tfidftopn": {"text_12": "excluding pca 2019s acquisition of midland container in april 2005 , corrugated products volume was 3.0% ( 3.0 % ) higher in 2005 than 2004 and up 3.4% ( 3.4 % ) compared to 2004 on a shipment-per-workday basis ."}, "program_re": "divide(42.2, 110.9)", "model_input": [["table_2", "( in millions ) the income before interest and taxes of for the year ended december 31 , 2005 is $ 116.1 ; the income before interest and taxes of for the year ended december 31 , 2004 is $ 140.5 ; the income before interest and taxes of change is $ -24.4 ( 24.4 ) ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of for the year ended december 31 , 2004 is 110.9 ; the income before taxes of change is -22.9 ( 22.9 ) ;"], ["table_5", "( in millions ) the provision for income taxes of for the year ended december 31 , 2005 is -35.4 ( 35.4 ) ; the provision for income taxes of for the year ended december 31 , 2004 is -42.2 ( 42.2 ) ; the provision for income taxes of change is 6.8 ;"]]}, "answers": ["38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001215", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in millions of cash payments for federal , state , and foreign income taxes between 2014 and 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "48.8.", "rejected": "98.8.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the difference in millions of cash payments for federal , state , and foreign income taxes <TIME>?", "doc_prefix": "PKG", "base_question": "what was the difference in millions of cash payments for federal , state , and foreign income taxes <TIME>?", "original_question": "what was the difference in millions of cash payments for federal , state , and foreign income taxes between 2014 and 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"98.8": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014"}], "48.8": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}]}, "chosen_source": {"id": "PKG/2015/page_62.pdf-1", "qa": {"question": "what was the difference in millions of cash payments for federal , state , and foreign income taxes between 2014 and 2015?", "answer": "48.8", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "238.3", "arg2": "189.5", "res": "48.8"}], "program": "subtract(238.3, 189.5)", "gold_inds": {"text_0": "cash payments for federal , state , and foreign income taxes were $ 238.3 million , $ 189.5 million , and $ 90.7 million for the years ended december 31 , 2015 , 2014 , and 2013 , respectively ."}, "exe_ans": 48.8, "tfidftopn": {"text_16": "the tax years 2014 2014 2015 remain open to federal examination .", "text_9": "of the total , $ 4.2 million ( net of the federal benefit for state taxes ) would impact the effective tax rate if recognized ."}, "program_re": "subtract(238.3, 189.5)", "model_input": [["text_0", "cash payments for federal , state , and foreign income taxes were $ 238.3 million , $ 189.5 million , and $ 90.7 million for the years ended december 31 , 2015 , 2014 , and 2013 , respectively ."], ["table_1", "the balance as of january 1 of 2015 is $ -4.4 ( 4.4 ) ; the balance as of january 1 of 2014 is $ -5.4 ( 5.4 ) ; the balance as of january 1 of 2013 is $ -111.3 ( 111.3 ) ;"], ["table_8", "the balance at december 31 of 2015 is $ -5.8 ( 5.8 ) ; the balance at december 31 of 2014 is $ -4.4 ( 4.4 ) ; the balance at december 31 of 2013 is $ -5.4 ( 5.4 ) ;"]]}, "answers": ["48.8"]}, "rejected_source": {"id": "PKG/2015/page_62.pdf-3", "qa": {"question": "what was the difference in millions of cash payments for federal , state , and foreign income taxes between 2013 and 2014?", "answer": "98.8", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus2-1", "arg1": "189.5", "arg2": "90.7", "res": "98.8"}], "program": "subtract(189.5, 90.7)", "gold_inds": {"text_0": "cash payments for federal , state , and foreign income taxes were $ 238.3 million , $ 189.5 million , and $ 90.7 million for the years ended december 31 , 2015 , 2014 , and 2013 , respectively ."}, "exe_ans": 98.8, "tfidftopn": {"text_9": "of the total , $ 4.2 million ( net of the federal benefit for state taxes ) would impact the effective tax rate if recognized .", "text_24": "in 2013 , we reversed $ 166.0 million of a reserve for unrecognized tax benefits for alternative energy tax credits as a benefit to income taxes ."}, "program_re": "subtract(189.5, 90.7)", "model_input": [["text_0", "cash payments for federal , state , and foreign income taxes were $ 238.3 million , $ 189.5 million , and $ 90.7 million for the years ended december 31 , 2015 , 2014 , and 2013 , respectively ."], ["table_1", "the balance as of january 1 of 2015 is $ -4.4 ( 4.4 ) ; the balance as of january 1 of 2014 is $ -5.4 ( 5.4 ) ; the balance as of january 1 of 2013 is $ -111.3 ( 111.3 ) ;"], ["table_8", "the balance at december 31 of 2015 is $ -5.8 ( 5.8 ) ; the balance at december 31 of 2014 is $ -4.4 ( 4.4 ) ; the balance at december 31 of 2013 is $ -5.4 ( 5.4 ) ;"]]}, "answers": ["98.8"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001216", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in millions of cash payments for federal , state , and foreign income taxes between 2013 and 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "98.8.", "rejected": "48.8.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the difference in millions of cash payments for federal , state , and foreign income taxes <TIME>?", "doc_prefix": "PKG", "base_question": "what was the difference in millions of cash payments for federal , state , and foreign income taxes <TIME>?", "original_question": "what was the difference in millions of cash payments for federal , state , and foreign income taxes between 2013 and 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"98.8": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "between 2013 and 2014"}], "48.8": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "between 2014 and 2015"}]}, "chosen_source": {"id": "PKG/2015/page_62.pdf-3", "qa": {"question": "what was the difference in millions of cash payments for federal , state , and foreign income taxes between 2013 and 2014?", "answer": "98.8", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus2-1", "arg1": "189.5", "arg2": "90.7", "res": "98.8"}], "program": "subtract(189.5, 90.7)", "gold_inds": {"text_0": "cash payments for federal , state , and foreign income taxes were $ 238.3 million , $ 189.5 million , and $ 90.7 million for the years ended december 31 , 2015 , 2014 , and 2013 , respectively ."}, "exe_ans": 98.8, "tfidftopn": {"text_9": "of the total , $ 4.2 million ( net of the federal benefit for state taxes ) would impact the effective tax rate if recognized .", "text_24": "in 2013 , we reversed $ 166.0 million of a reserve for unrecognized tax benefits for alternative energy tax credits as a benefit to income taxes ."}, "program_re": "subtract(189.5, 90.7)", "model_input": [["text_0", "cash payments for federal , state , and foreign income taxes were $ 238.3 million , $ 189.5 million , and $ 90.7 million for the years ended december 31 , 2015 , 2014 , and 2013 , respectively ."], ["table_1", "the balance as of january 1 of 2015 is $ -4.4 ( 4.4 ) ; the balance as of january 1 of 2014 is $ -5.4 ( 5.4 ) ; the balance as of january 1 of 2013 is $ -111.3 ( 111.3 ) ;"], ["table_8", "the balance at december 31 of 2015 is $ -5.8 ( 5.8 ) ; the balance at december 31 of 2014 is $ -4.4 ( 4.4 ) ; the balance at december 31 of 2013 is $ -5.4 ( 5.4 ) ;"]]}, "answers": ["98.8"]}, "rejected_source": {"id": "PKG/2015/page_62.pdf-1", "qa": {"question": "what was the difference in millions of cash payments for federal , state , and foreign income taxes between 2014 and 2015?", "answer": "48.8", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "minus1-1", "arg1": "238.3", "arg2": "189.5", "res": "48.8"}], "program": "subtract(238.3, 189.5)", "gold_inds": {"text_0": "cash payments for federal , state , and foreign income taxes were $ 238.3 million , $ 189.5 million , and $ 90.7 million for the years ended december 31 , 2015 , 2014 , and 2013 , respectively ."}, "exe_ans": 48.8, "tfidftopn": {"text_16": "the tax years 2014 2014 2015 remain open to federal examination .", "text_9": "of the total , $ 4.2 million ( net of the federal benefit for state taxes ) would impact the effective tax rate if recognized ."}, "program_re": "subtract(238.3, 189.5)", "model_input": [["text_0", "cash payments for federal , state , and foreign income taxes were $ 238.3 million , $ 189.5 million , and $ 90.7 million for the years ended december 31 , 2015 , 2014 , and 2013 , respectively ."], ["table_1", "the balance as of january 1 of 2015 is $ -4.4 ( 4.4 ) ; the balance as of january 1 of 2014 is $ -5.4 ( 5.4 ) ; the balance as of january 1 of 2013 is $ -111.3 ( 111.3 ) ;"], ["table_8", "the balance at december 31 of 2015 is $ -5.8 ( 5.8 ) ; the balance at december 31 of 2014 is $ -4.4 ( 4.4 ) ; the balance at december 31 of 2013 is $ -5.4 ( 5.4 ) ;"]]}, "answers": ["48.8"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001217", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum rental payments is due in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "11%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of future minimum rental payments is due <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of future minimum rental payments is due <TIME>?", "original_question": "what percentage of future minimum rental payments is due in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "13%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GS/2012/page_177.pdf-3", "qa": {"question": "what percentage of future minimum rental payments is due in 2015?", "answer": "11%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "345", "arg2": "3189", "res": "11%"}], "program": "divide(345, 3189)", "gold_inds": {"table_3": "in millions the 2015 of as of december 2012 is 345 ;", "table_7": "in millions the total of as of december 2012 is $ 3189 ;"}, "exe_ans": 0.10818, "tfidftopn": {"text_18": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(345, 3189)", "model_input": [["table_1", "in millions the 2013 of as of december 2012 is $ 439 ;"], ["table_3", "in millions the 2015 of as of december 2012 is 345 ;"], ["table_7", "in millions the total of as of december 2012 is $ 3189 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "GS/2014/page_167.pdf-3", "qa": {"question": "what percentage of future minimum rental payments is due in 2016?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "292", "arg2": "2173", "res": "13%"}], "program": "divide(292, 2173)", "gold_inds": {"table_2": "$ in millions the 2016 of as of december 2014 is 292 ;", "table_7": "$ in millions the total of as of december 2014 is $ 2173 ;"}, "exe_ans": 0.13438, "tfidftopn": {"text_19": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(292, 2173)", "model_input": [["table_1", "$ in millions the 2015 of as of december 2014 is $ 321 ;"], ["table_2", "$ in millions the 2016 of as of december 2014 is 292 ;"], ["table_7", "$ in millions the total of as of december 2014 is $ 2173 ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001218", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum rental payments is due in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "13%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what percentage of future minimum rental payments is due <TIME>?", "doc_prefix": "GS", "base_question": "what percentage of future minimum rental payments is due <TIME>?", "original_question": "what percentage of future minimum rental payments is due in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "13%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GS/2014/page_167.pdf-3", "qa": {"question": "what percentage of future minimum rental payments is due in 2016?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "292", "arg2": "2173", "res": "13%"}], "program": "divide(292, 2173)", "gold_inds": {"table_2": "$ in millions the 2016 of as of december 2014 is 292 ;", "table_7": "$ in millions the total of as of december 2014 is $ 2173 ;"}, "exe_ans": 0.13438, "tfidftopn": {"text_19": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(292, 2173)", "model_input": [["table_1", "$ in millions the 2015 of as of december 2014 is $ 321 ;"], ["table_2", "$ in millions the 2016 of as of december 2014 is 292 ;"], ["table_7", "$ in millions the total of as of december 2014 is $ 2173 ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "GS/2012/page_177.pdf-3", "qa": {"question": "what percentage of future minimum rental payments is due in 2015?", "answer": "11%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "345", "arg2": "3189", "res": "11%"}], "program": "divide(345, 3189)", "gold_inds": {"table_3": "in millions the 2015 of as of december 2012 is 345 ;", "table_7": "in millions the total of as of december 2012 is $ 3189 ;"}, "exe_ans": 0.10818, "tfidftopn": {"text_18": "the table below presents future minimum rental payments , net of minimum sublease rentals ."}, "program_re": "divide(345, 3189)", "model_input": [["table_1", "in millions the 2013 of as of december 2012 is $ 439 ;"], ["table_3", "in millions the 2015 of as of december 2012 is 345 ;"], ["table_7", "in millions the total of as of december 2012 is $ 3189 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001219", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of printing paper sales where north american printing papers sales in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "43%.", "rejected": "45%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of printing paper sales where north american printing papers sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of printing paper sales where north american printing papers sales <TIME>?", "original_question": "what percentage of printing paper sales where north american printing papers sales in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"45%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "43%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "IP/2012/page_56.pdf-1", "qa": {"question": "what percentage of printing paper sales where north american printing papers sales in 2012?", "answer": "43%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [9], "steps": [{"op": "multiply1-1", "arg1": "2.7", "arg2": "const_1000", "res": "2700"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6230", "res": "43%"}], "program": "multiply(2.7, const_1000), divide(#0, 6230)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ; the sales of 2010 is $ 5940 ;", "text_9": "north american pr int ing papers net sales were $ 2.7 billion in 2012 , $ 2.8 billion in 2011 and $ 2.8 billion in 2010 ."}, "exe_ans": 0.43339, "tfidftopn": {"text_8": "printing papers ."}, "program_re": "divide(multiply(2.7, const_1000), 6230)", "model_input": [["table_1", "in millions the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ; the sales of 2010 is $ 5940 ;"], ["table_2", "in millions the operating profit of 2012 is 599 ; the operating profit of 2011 is 872 ; the operating profit of 2010 is 481 ;"], ["text_9", "north american pr int ing papers net sales were $ 2.7 billion in 2012 , $ 2.8 billion in 2011 and $ 2.8 billion in 2010 ."]]}, "answers": ["43%"]}, "rejected_source": {"id": "IP/2012/page_56.pdf-2", "qa": {"question": "what percentage of printing paper sales where north american printing papers sales in 2011?", "answer": "45%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [9], "steps": [{"op": "multiply2-1", "arg1": "2.8", "arg2": "const_1000", "res": "2800"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6215", "res": "45%"}], "program": "multiply(2.8, const_1000), divide(#0, 6215)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ; the sales of 2010 is $ 5940 ;", "text_9": "north american pr int ing papers net sales were $ 2.7 billion in 2012 , $ 2.8 billion in 2011 and $ 2.8 billion in 2010 ."}, "exe_ans": 0.45052, "tfidftopn": {"text_8": "printing papers ."}, "program_re": "divide(multiply(2.8, const_1000), 6215)", "model_input": [["table_1", "in millions the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ; the sales of 2010 is $ 5940 ;"], ["table_2", "in millions the operating profit of 2012 is 599 ; the operating profit of 2011 is 872 ; the operating profit of 2010 is 481 ;"], ["text_9", "north american pr int ing papers net sales were $ 2.7 billion in 2012 , $ 2.8 billion in 2011 and $ 2.8 billion in 2010 ."]]}, "answers": ["45%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001220", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of printing paper sales where north american printing papers sales in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "45%.", "rejected": "43%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percentage of printing paper sales where north american printing papers sales <TIME>?", "doc_prefix": "IP", "base_question": "what percentage of printing paper sales where north american printing papers sales <TIME>?", "original_question": "what percentage of printing paper sales where north american printing papers sales in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"45%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "43%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "IP/2012/page_56.pdf-2", "qa": {"question": "what percentage of printing paper sales where north american printing papers sales in 2011?", "answer": "45%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [9], "steps": [{"op": "multiply2-1", "arg1": "2.8", "arg2": "const_1000", "res": "2800"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6215", "res": "45%"}], "program": "multiply(2.8, const_1000), divide(#0, 6215)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ; the sales of 2010 is $ 5940 ;", "text_9": "north american pr int ing papers net sales were $ 2.7 billion in 2012 , $ 2.8 billion in 2011 and $ 2.8 billion in 2010 ."}, "exe_ans": 0.45052, "tfidftopn": {"text_8": "printing papers ."}, "program_re": "divide(multiply(2.8, const_1000), 6215)", "model_input": [["table_1", "in millions the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ; the sales of 2010 is $ 5940 ;"], ["table_2", "in millions the operating profit of 2012 is 599 ; the operating profit of 2011 is 872 ; the operating profit of 2010 is 481 ;"], ["text_9", "north american pr int ing papers net sales were $ 2.7 billion in 2012 , $ 2.8 billion in 2011 and $ 2.8 billion in 2010 ."]]}, "answers": ["45%"]}, "rejected_source": {"id": "IP/2012/page_56.pdf-1", "qa": {"question": "what percentage of printing paper sales where north american printing papers sales in 2012?", "answer": "43%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [9], "steps": [{"op": "multiply1-1", "arg1": "2.7", "arg2": "const_1000", "res": "2700"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6230", "res": "43%"}], "program": "multiply(2.7, const_1000), divide(#0, 6230)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ; the sales of 2010 is $ 5940 ;", "text_9": "north american pr int ing papers net sales were $ 2.7 billion in 2012 , $ 2.8 billion in 2011 and $ 2.8 billion in 2010 ."}, "exe_ans": 0.43339, "tfidftopn": {"text_8": "printing papers ."}, "program_re": "divide(multiply(2.7, const_1000), 6230)", "model_input": [["table_1", "in millions the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ; the sales of 2010 is $ 5940 ;"], ["table_2", "in millions the operating profit of 2012 is 599 ; the operating profit of 2011 is 872 ; the operating profit of 2010 is 481 ;"], ["text_9", "north american pr int ing papers net sales were $ 2.7 billion in 2012 , $ 2.8 billion in 2011 and $ 2.8 billion in 2010 ."]]}, "answers": ["43%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001221", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total expense for all operating leases between 2003 and 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "14%.", "rejected": "81%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EW || what was the percentage change in total expense for all operating leases <TIME>?", "doc_prefix": "EW", "base_question": "what was the percentage change in total expense for all operating leases <TIME>?", "original_question": "what was the percentage change in total expense for all operating leases between 2003 and 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"81%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003"}], "14%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}]}, "chosen_source": {"id": "EW/2004/page_83.pdf-2", "qa": {"question": "what was the percentage change in total expense for all operating leases between 2003 and 2004?", "answer": "14%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus2-1", "arg1": "14.0", "arg2": "12.3", "res": "1.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "12.3", "res": "14%"}], "program": "subtract(14.0, 12.3), divide(#0, 12.3)", "gold_inds": {"text_14": "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."}, "exe_ans": 0.13821, "tfidftopn": {"text_3": "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively .", "table_7": "The total obligations and commitments of operating leases is $ 49.8 ; The total obligations and commitments of aggregate debt maturities is $ 267.1 ;"}, "program_re": "divide(subtract(14.0, 12.3), 12.3)", "model_input": [["text_3", "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."], ["table_7", "the total obligations and commitments of operating leases is $ 49.8 ; the total obligations and commitments of aggregate debt maturities is $ 267.1 ;"], ["text_14", "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."]]}, "answers": ["14%"]}, "rejected_source": {"id": "EW/2004/page_83.pdf-1", "qa": {"question": "what was the percentage change in total expense for all operating leases between 2002 and 2003?", "answer": "81%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus1-1", "arg1": "12.3", "arg2": "6.8", "res": "5.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6.8", "res": "81%"}], "program": "subtract(12.3, 6.8), divide(#0, 6.8)", "gold_inds": {"text_14": "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."}, "exe_ans": 0.80882, "tfidftopn": {"text_3": "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively .", "table_7": "The total obligations and commitments of operating leases is $ 49.8 ; The total obligations and commitments of aggregate debt maturities is $ 267.1 ;"}, "program_re": "divide(subtract(12.3, 6.8), 6.8)", "model_input": [["text_3", "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."], ["table_7", "the total obligations and commitments of operating leases is $ 49.8 ; the total obligations and commitments of aggregate debt maturities is $ 267.1 ;"], ["text_14", "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."]]}, "answers": ["81%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001222", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total expense for all operating leases between 2002 and 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "81%.", "rejected": "14%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EW || what was the percentage change in total expense for all operating leases <TIME>?", "doc_prefix": "EW", "base_question": "what was the percentage change in total expense for all operating leases <TIME>?", "original_question": "what was the percentage change in total expense for all operating leases between 2002 and 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"81%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003"}], "14%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "between 2003 and 2004"}]}, "chosen_source": {"id": "EW/2004/page_83.pdf-1", "qa": {"question": "what was the percentage change in total expense for all operating leases between 2002 and 2003?", "answer": "81%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus1-1", "arg1": "12.3", "arg2": "6.8", "res": "5.5"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6.8", "res": "81%"}], "program": "subtract(12.3, 6.8), divide(#0, 6.8)", "gold_inds": {"text_14": "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."}, "exe_ans": 0.80882, "tfidftopn": {"text_3": "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively .", "table_7": "The total obligations and commitments of operating leases is $ 49.8 ; The total obligations and commitments of aggregate debt maturities is $ 267.1 ;"}, "program_re": "divide(subtract(12.3, 6.8), 6.8)", "model_input": [["text_3", "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."], ["table_7", "the total obligations and commitments of operating leases is $ 49.8 ; the total obligations and commitments of aggregate debt maturities is $ 267.1 ;"], ["text_14", "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."]]}, "answers": ["81%"]}, "rejected_source": {"id": "EW/2004/page_83.pdf-2", "qa": {"question": "what was the percentage change in total expense for all operating leases between 2003 and 2004?", "answer": "14%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus2-1", "arg1": "14.0", "arg2": "12.3", "res": "1.7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "12.3", "res": "14%"}], "program": "subtract(14.0, 12.3), divide(#0, 12.3)", "gold_inds": {"text_14": "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."}, "exe_ans": 0.13821, "tfidftopn": {"text_3": "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively .", "table_7": "The total obligations and commitments of operating leases is $ 49.8 ; The total obligations and commitments of aggregate debt maturities is $ 267.1 ;"}, "program_re": "divide(subtract(14.0, 12.3), 12.3)", "model_input": [["text_3", "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."], ["table_7", "the total obligations and commitments of operating leases is $ 49.8 ; the total obligations and commitments of aggregate debt maturities is $ 267.1 ;"], ["text_14", "total expense for all operating leases was $ 14.0 million , $ 12.3 million , and $ 6.8 million for the years 2004 , 2003 and 2002 , respectively ."]]}, "answers": ["14%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001223", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2015 what percentage of at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?\nReference time interval: 2013-12-31 00:00:00 to 2014-01-01 00:00:00", "chosen": "85%.", "rejected": "95%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of <TIME> , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of <TIME> , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?", "original_question": "in 2015 what percentage of at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?", "reference_time": {"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"95%": [{"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31"}], "85%": [{"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31"}]}, "chosen_source": {"id": "IP/2013/page_101.pdf-2", "qa": {"question": "in 2015 what percentage of at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?", "answer": "85%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "770", "arg2": "903", "res": "85%"}], "program": "divide(770, 903)", "gold_inds": {"table_2": "in millions the purchase obligations ( a ) of 2014 is 3170 ; the purchase obligations ( a ) of 2015 is 770 ; the purchase obligations ( a ) of 2016 is 642 ; the purchase obligations ( a ) of 2017 is 529 ; the purchase obligations ( a ) of 2018 is 453 ; the purchase obligations ( a ) of thereafter is 2404 ;", "table_3": "in millions the total of 2014 is $ 3341 ; the total of 2015 is $ 903 ; the total of 2016 is $ 739 ; the total of 2017 is $ 603 ; the total of 2018 is $ 512 ; the total of thereafter is $ 2566 ;"}, "exe_ans": 0.85271, "tfidftopn": {"text_0": "at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations were as follows: ."}, "program_re": "divide(770, 903)", "model_input": [["table_1", "in millions the lease obligations of 2014 is $ 171 ; the lease obligations of 2015 is $ 133 ; the lease obligations of 2016 is $ 97 ; the lease obligations of 2017 is $ 74 ; the lease obligations of 2018 is $ 59 ; the lease obligations of thereafter is $ 162 ;"], ["table_2", "in millions the purchase obligations ( a ) of 2014 is 3170 ; the purchase obligations ( a ) of 2015 is 770 ; the purchase obligations ( a ) of 2016 is 642 ; the purchase obligations ( a ) of 2017 is 529 ; the purchase obligations ( a ) of 2018 is 453 ; the purchase obligations ( a ) of thereafter is 2404 ;"], ["table_3", "in millions the total of 2014 is $ 3341 ; the total of 2015 is $ 903 ; the total of 2016 is $ 739 ; the total of 2017 is $ 603 ; the total of 2018 is $ 512 ; the total of thereafter is $ 2566 ;"]]}, "answers": ["85%"]}, "rejected_source": {"id": "IP/2013/page_101.pdf-1", "qa": {"question": "in 2014 what percentage of at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?", "answer": "95%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3170", "arg2": "3341", "res": "95%"}], "program": "divide(3170, 3341)", "gold_inds": {"table_2": "in millions the purchase obligations ( a ) of 2014 is 3170 ; the purchase obligations ( a ) of 2015 is 770 ; the purchase obligations ( a ) of 2016 is 642 ; the purchase obligations ( a ) of 2017 is 529 ; the purchase obligations ( a ) of 2018 is 453 ; the purchase obligations ( a ) of thereafter is 2404 ;", "table_3": "in millions the total of 2014 is $ 3341 ; the total of 2015 is $ 903 ; the total of 2016 is $ 739 ; the total of 2017 is $ 603 ; the total of 2018 is $ 512 ; the total of thereafter is $ 2566 ;"}, "exe_ans": 0.94882, "tfidftopn": {"text_0": "at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations were as follows: ."}, "program_re": "divide(3170, 3341)", "model_input": [["table_1", "in millions the lease obligations of 2014 is $ 171 ; the lease obligations of 2015 is $ 133 ; the lease obligations of 2016 is $ 97 ; the lease obligations of 2017 is $ 74 ; the lease obligations of 2018 is $ 59 ; the lease obligations of thereafter is $ 162 ;"], ["table_2", "in millions the purchase obligations ( a ) of 2014 is 3170 ; the purchase obligations ( a ) of 2015 is 770 ; the purchase obligations ( a ) of 2016 is 642 ; the purchase obligations ( a ) of 2017 is 529 ; the purchase obligations ( a ) of 2018 is 453 ; the purchase obligations ( a ) of thereafter is 2404 ;"], ["table_3", "in millions the total of 2014 is $ 3341 ; the total of 2015 is $ 903 ; the total of 2016 is $ 739 ; the total of 2017 is $ 603 ; the total of 2018 is $ 512 ; the total of thereafter is $ 2566 ;"]]}, "answers": ["95%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001224", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2014 what percentage of at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?\nReference time interval: 2013-12-31 00:00:00 to 2014-01-01 00:00:00", "chosen": "95%.", "rejected": "85%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of <TIME> , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of <TIME> , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?", "original_question": "in 2014 what percentage of at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?", "reference_time": {"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"95%": [{"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31"}], "85%": [{"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31"}]}, "chosen_source": {"id": "IP/2013/page_101.pdf-1", "qa": {"question": "in 2014 what percentage of at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?", "answer": "95%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3170", "arg2": "3341", "res": "95%"}], "program": "divide(3170, 3341)", "gold_inds": {"table_2": "in millions the purchase obligations ( a ) of 2014 is 3170 ; the purchase obligations ( a ) of 2015 is 770 ; the purchase obligations ( a ) of 2016 is 642 ; the purchase obligations ( a ) of 2017 is 529 ; the purchase obligations ( a ) of 2018 is 453 ; the purchase obligations ( a ) of thereafter is 2404 ;", "table_3": "in millions the total of 2014 is $ 3341 ; the total of 2015 is $ 903 ; the total of 2016 is $ 739 ; the total of 2017 is $ 603 ; the total of 2018 is $ 512 ; the total of thereafter is $ 2566 ;"}, "exe_ans": 0.94882, "tfidftopn": {"text_0": "at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations were as follows: ."}, "program_re": "divide(3170, 3341)", "model_input": [["table_1", "in millions the lease obligations of 2014 is $ 171 ; the lease obligations of 2015 is $ 133 ; the lease obligations of 2016 is $ 97 ; the lease obligations of 2017 is $ 74 ; the lease obligations of 2018 is $ 59 ; the lease obligations of thereafter is $ 162 ;"], ["table_2", "in millions the purchase obligations ( a ) of 2014 is 3170 ; the purchase obligations ( a ) of 2015 is 770 ; the purchase obligations ( a ) of 2016 is 642 ; the purchase obligations ( a ) of 2017 is 529 ; the purchase obligations ( a ) of 2018 is 453 ; the purchase obligations ( a ) of thereafter is 2404 ;"], ["table_3", "in millions the total of 2014 is $ 3341 ; the total of 2015 is $ 903 ; the total of 2016 is $ 739 ; the total of 2017 is $ 603 ; the total of 2018 is $ 512 ; the total of thereafter is $ 2566 ;"]]}, "answers": ["95%"]}, "rejected_source": {"id": "IP/2013/page_101.pdf-2", "qa": {"question": "in 2015 what percentage of at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations is due to purchase obligations?", "answer": "85%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "770", "arg2": "903", "res": "85%"}], "program": "divide(770, 903)", "gold_inds": {"table_2": "in millions the purchase obligations ( a ) of 2014 is 3170 ; the purchase obligations ( a ) of 2015 is 770 ; the purchase obligations ( a ) of 2016 is 642 ; the purchase obligations ( a ) of 2017 is 529 ; the purchase obligations ( a ) of 2018 is 453 ; the purchase obligations ( a ) of thereafter is 2404 ;", "table_3": "in millions the total of 2014 is $ 3341 ; the total of 2015 is $ 903 ; the total of 2016 is $ 739 ; the total of 2017 is $ 603 ; the total of 2018 is $ 512 ; the total of thereafter is $ 2566 ;"}, "exe_ans": 0.85271, "tfidftopn": {"text_0": "at december 31 , 2013 , total future minimum commitments under existing non-cancelable operating leases and purchase obligations were as follows: ."}, "program_re": "divide(770, 903)", "model_input": [["table_1", "in millions the lease obligations of 2014 is $ 171 ; the lease obligations of 2015 is $ 133 ; the lease obligations of 2016 is $ 97 ; the lease obligations of 2017 is $ 74 ; the lease obligations of 2018 is $ 59 ; the lease obligations of thereafter is $ 162 ;"], ["table_2", "in millions the purchase obligations ( a ) of 2014 is 3170 ; the purchase obligations ( a ) of 2015 is 770 ; the purchase obligations ( a ) of 2016 is 642 ; the purchase obligations ( a ) of 2017 is 529 ; the purchase obligations ( a ) of 2018 is 453 ; the purchase obligations ( a ) of thereafter is 2404 ;"], ["table_3", "in millions the total of 2014 is $ 3341 ; the total of 2015 is $ 903 ; the total of 2016 is $ 739 ; the total of 2017 is $ 603 ; the total of 2018 is $ 512 ; the total of thereafter is $ 2566 ;"]]}, "answers": ["85%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001225", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of printing papers sales in 2007 was from north american printing papers net sales?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "54%.", "rejected": "66%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percent of printing papers sales <TIME> was from north american printing papers net sales?", "doc_prefix": "IP", "base_question": "what percent of printing papers sales <TIME> was from north american printing papers net sales?", "original_question": "what percent of printing papers sales in 2007 was from north american printing papers net sales?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"66%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "54%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "IP/2007/page_30.pdf-1", "qa": {"question": "what percent of printing papers sales in 2007 was from north american printing papers net sales?", "answer": "54%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply1-1", "arg1": "3.5", "arg2": "const_1000", "res": "3500"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6530", "res": "54%"}], "program": "multiply(3.5, const_1000), divide(#0, 6530)", "gold_inds": {"table_1": "in millions the sales of 2007 is $ 6530 ; the sales of 2006 is $ 6700 ; the sales of 2005 is $ 6980 ;", "text_3": "north american printing papers net sales in 2007 were $ 3.5 billion compared with $ 4.4 billion in 2006 ( $ 3.5 billion excluding the coated and super- calendered papers business ) and $ 4.8 billion in 2005 ( $ 3.2 billion excluding the coated and super- calendered papers business ) ."}, "exe_ans": 0.53599, "tfidftopn": {"text_2": "printing papers in millions 2007 2006 2005 ."}, "program_re": "divide(multiply(3.5, const_1000), 6530)", "model_input": [["table_1", "in millions the sales of 2007 is $ 6530 ; the sales of 2006 is $ 6700 ; the sales of 2005 is $ 6980 ;"], ["table_2", "in millions the operating profit of 2007 is $ 1101 ; the operating profit of 2006 is $ 636 ; the operating profit of 2005 is $ 434 ;"], ["text_3", "north american printing papers net sales in 2007 were $ 3.5 billion compared with $ 4.4 billion in 2006 ( $ 3.5 billion excluding the coated and super- calendered papers business ) and $ 4.8 billion in 2005 ( $ 3.2 billion excluding the coated and super- calendered papers business ) ."]]}, "answers": ["54%"]}, "rejected_source": {"id": "IP/2007/page_30.pdf-2", "qa": {"question": "what percent of printing papers sales in 2006 was from north american printing papers net sales?", "answer": "66%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply2-1", "arg1": "4.4", "arg2": "const_1000", "res": "4400"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6700", "res": "66%"}], "program": "multiply(4.4, const_1000), divide(#0, 6700)", "gold_inds": {"table_1": "in millions the sales of 2007 is $ 6530 ; the sales of 2006 is $ 6700 ; the sales of 2005 is $ 6980 ;", "text_3": "north american printing papers net sales in 2007 were $ 3.5 billion compared with $ 4.4 billion in 2006 ( $ 3.5 billion excluding the coated and super- calendered papers business ) and $ 4.8 billion in 2005 ( $ 3.2 billion excluding the coated and super- calendered papers business ) ."}, "exe_ans": 0.65672, "tfidftopn": {"text_2": "printing papers in millions 2007 2006 2005 ."}, "program_re": "divide(multiply(4.4, const_1000), 6700)", "model_input": [["table_1", "in millions the sales of 2007 is $ 6530 ; the sales of 2006 is $ 6700 ; the sales of 2005 is $ 6980 ;"], ["table_2", "in millions the operating profit of 2007 is $ 1101 ; the operating profit of 2006 is $ 636 ; the operating profit of 2005 is $ 434 ;"], ["text_3", "north american printing papers net sales in 2007 were $ 3.5 billion compared with $ 4.4 billion in 2006 ( $ 3.5 billion excluding the coated and super- calendered papers business ) and $ 4.8 billion in 2005 ( $ 3.2 billion excluding the coated and super- calendered papers business ) ."]]}, "answers": ["66%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001226", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of printing papers sales in 2006 was from north american printing papers net sales?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "66%.", "rejected": "54%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what percent of printing papers sales <TIME> was from north american printing papers net sales?", "doc_prefix": "IP", "base_question": "what percent of printing papers sales <TIME> was from north american printing papers net sales?", "original_question": "what percent of printing papers sales in 2006 was from north american printing papers net sales?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"66%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "54%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "IP/2007/page_30.pdf-2", "qa": {"question": "what percent of printing papers sales in 2006 was from north american printing papers net sales?", "answer": "66%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply2-1", "arg1": "4.4", "arg2": "const_1000", "res": "4400"}, {"op": "divide2-2", "arg1": "#0", "arg2": "6700", "res": "66%"}], "program": "multiply(4.4, const_1000), divide(#0, 6700)", "gold_inds": {"table_1": "in millions the sales of 2007 is $ 6530 ; the sales of 2006 is $ 6700 ; the sales of 2005 is $ 6980 ;", "text_3": "north american printing papers net sales in 2007 were $ 3.5 billion compared with $ 4.4 billion in 2006 ( $ 3.5 billion excluding the coated and super- calendered papers business ) and $ 4.8 billion in 2005 ( $ 3.2 billion excluding the coated and super- calendered papers business ) ."}, "exe_ans": 0.65672, "tfidftopn": {"text_2": "printing papers in millions 2007 2006 2005 ."}, "program_re": "divide(multiply(4.4, const_1000), 6700)", "model_input": [["table_1", "in millions the sales of 2007 is $ 6530 ; the sales of 2006 is $ 6700 ; the sales of 2005 is $ 6980 ;"], ["table_2", "in millions the operating profit of 2007 is $ 1101 ; the operating profit of 2006 is $ 636 ; the operating profit of 2005 is $ 434 ;"], ["text_3", "north american printing papers net sales in 2007 were $ 3.5 billion compared with $ 4.4 billion in 2006 ( $ 3.5 billion excluding the coated and super- calendered papers business ) and $ 4.8 billion in 2005 ( $ 3.2 billion excluding the coated and super- calendered papers business ) ."]]}, "answers": ["66%"]}, "rejected_source": {"id": "IP/2007/page_30.pdf-1", "qa": {"question": "what percent of printing papers sales in 2007 was from north american printing papers net sales?", "answer": "54%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [3], "steps": [{"op": "multiply1-1", "arg1": "3.5", "arg2": "const_1000", "res": "3500"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6530", "res": "54%"}], "program": "multiply(3.5, const_1000), divide(#0, 6530)", "gold_inds": {"table_1": "in millions the sales of 2007 is $ 6530 ; the sales of 2006 is $ 6700 ; the sales of 2005 is $ 6980 ;", "text_3": "north american printing papers net sales in 2007 were $ 3.5 billion compared with $ 4.4 billion in 2006 ( $ 3.5 billion excluding the coated and super- calendered papers business ) and $ 4.8 billion in 2005 ( $ 3.2 billion excluding the coated and super- calendered papers business ) ."}, "exe_ans": 0.53599, "tfidftopn": {"text_2": "printing papers in millions 2007 2006 2005 ."}, "program_re": "divide(multiply(3.5, const_1000), 6530)", "model_input": [["table_1", "in millions the sales of 2007 is $ 6530 ; the sales of 2006 is $ 6700 ; the sales of 2005 is $ 6980 ;"], ["table_2", "in millions the operating profit of 2007 is $ 1101 ; the operating profit of 2006 is $ 636 ; the operating profit of 2005 is $ 434 ;"], ["text_3", "north american printing papers net sales in 2007 were $ 3.5 billion compared with $ 4.4 billion in 2006 ( $ 3.5 billion excluding the coated and super- calendered papers business ) and $ 4.8 billion in 2005 ( $ 3.2 billion excluding the coated and super- calendered papers business ) ."]]}, "answers": ["54%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001227", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum lease payments under the capital lease obligations is due after 2020?\nReference time interval: 2020-01-01 00:00:00 to 2021-01-01 00:00:00", "chosen": "16%.", "rejected": "24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISH || what percentage of future minimum lease payments under the capital lease obligations is due after <TIME>?", "doc_prefix": "DISH", "base_question": "what percentage of future minimum lease payments under the capital lease obligations is due after <TIME>?", "original_question": "what percentage of future minimum lease payments under the capital lease obligations is due after 2020?", "reference_time": {"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"24%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "16%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "DISH/2015/page_142.pdf-1", "qa": {"question": "what percentage of future minimum lease payments under the capital lease obligations is due after 2020?", "answer": "16%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "64000", "arg2": "390719", "res": "16%"}], "program": "divide(64000, 390719)", "gold_inds": {"table_5": "2016 the thereafter of $ 76676 is 64000 ;", "table_6": "2016 the total minimum lease payments of $ 76676 is 390719 ;"}, "exe_ans": 0.1638, "tfidftopn": {"text_0": "dish network corporation notes to consolidated financial statements - continued future minimum lease payments under the capital lease obligations , together with the present value of the net minimum lease payments as of december 31 , 2015 are as follows ( in thousands ) : for the years ended december 31 ."}, "program_re": "divide(64000, 390719)", "model_input": [["table_4", "2016 the 2020 of $ 76676 is 48000 ;"], ["table_5", "2016 the thereafter of $ 76676 is 64000 ;"], ["table_6", "2016 the total minimum lease payments of $ 76676 is 390719 ;"]]}, "answers": ["16%"]}, "rejected_source": {"id": "DISH/2014/page_142.pdf-1", "qa": {"question": "what percentage of future minimum lease payments under the capital lease obligations is due after 2019?", "answer": "24%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "112000", "arg2": "468218", "res": "24%"}], "program": "divide(112000, 468218)", "gold_inds": {"table_5": "2015 the thereafter of $ 77089 is 112000 ;", "table_6": "2015 the total minimum lease payments of $ 77089 is 468218 ;"}, "exe_ans": 0.2392, "tfidftopn": {"text_10": "future minimum lease payments under the capital lease obligations , together with the present value of the net minimum lease payments as of december 31 , 2014 are as follows ( in thousands ) : for the years ended december 31 ."}, "program_re": "divide(112000, 468218)", "model_input": [["table_4", "2015 the 2019 of $ 77089 is 50331 ;"], ["table_5", "2015 the thereafter of $ 77089 is 112000 ;"], ["table_6", "2015 the total minimum lease payments of $ 77089 is 468218 ;"]]}, "answers": ["24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001228", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum lease payments under the capital lease obligations is due after 2019?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "24%.", "rejected": "16%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "DISH || what percentage of future minimum lease payments under the capital lease obligations is due after <TIME>?", "doc_prefix": "DISH", "base_question": "what percentage of future minimum lease payments under the capital lease obligations is due after <TIME>?", "original_question": "what percentage of future minimum lease payments under the capital lease obligations is due after 2019?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"24%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}], "16%": [{"start": "2020-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "2020"}]}, "chosen_source": {"id": "DISH/2014/page_142.pdf-1", "qa": {"question": "what percentage of future minimum lease payments under the capital lease obligations is due after 2019?", "answer": "24%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "112000", "arg2": "468218", "res": "24%"}], "program": "divide(112000, 468218)", "gold_inds": {"table_5": "2015 the thereafter of $ 77089 is 112000 ;", "table_6": "2015 the total minimum lease payments of $ 77089 is 468218 ;"}, "exe_ans": 0.2392, "tfidftopn": {"text_10": "future minimum lease payments under the capital lease obligations , together with the present value of the net minimum lease payments as of december 31 , 2014 are as follows ( in thousands ) : for the years ended december 31 ."}, "program_re": "divide(112000, 468218)", "model_input": [["table_4", "2015 the 2019 of $ 77089 is 50331 ;"], ["table_5", "2015 the thereafter of $ 77089 is 112000 ;"], ["table_6", "2015 the total minimum lease payments of $ 77089 is 468218 ;"]]}, "answers": ["24%"]}, "rejected_source": {"id": "DISH/2015/page_142.pdf-1", "qa": {"question": "what percentage of future minimum lease payments under the capital lease obligations is due after 2020?", "answer": "16%", "explanation": "", "ann_table_rows": [5, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "64000", "arg2": "390719", "res": "16%"}], "program": "divide(64000, 390719)", "gold_inds": {"table_5": "2016 the thereafter of $ 76676 is 64000 ;", "table_6": "2016 the total minimum lease payments of $ 76676 is 390719 ;"}, "exe_ans": 0.1638, "tfidftopn": {"text_0": "dish network corporation notes to consolidated financial statements - continued future minimum lease payments under the capital lease obligations , together with the present value of the net minimum lease payments as of december 31 , 2015 are as follows ( in thousands ) : for the years ended december 31 ."}, "program_re": "divide(64000, 390719)", "model_input": [["table_4", "2016 the 2020 of $ 76676 is 48000 ;"], ["table_5", "2016 the thereafter of $ 76676 is 64000 ;"], ["table_6", "2016 the total minimum lease payments of $ 76676 is 390719 ;"]]}, "answers": ["16%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001229", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in reserve for future policy benefits during 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-1080.", "rejected": "4185.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the net change in reserve for future policy benefits <TIME>?", "doc_prefix": "RE", "base_question": "what is the net change in reserve for future policy benefits <TIME>?", "original_question": "what is the net change in reserve for future policy benefits during 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4185": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-1080": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "RE/2012/page_123.pdf-1", "qa": {"question": "what is the net change in reserve for future policy benefits during 2012?", "answer": "-1080", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "66107", "arg2": "67187", "res": "-1080"}], "program": "subtract(66107, 67187)", "gold_inds": {"table_1": "( dollars in thousands ) the balance at beginning of year of at december 31 , 2012 is $ 67187 ; the balance at beginning of year of at december 31 , 2011 is $ 63002 ; the balance at beginning of year of at december 31 , 2010 is $ 64536 ;", "table_5": "( dollars in thousands ) the balance at end of year of at december 31 , 2012 is $ 66107 ; the balance at end of year of at december 31 , 2011 is $ 67187 ; the balance at end of year of at december 31 , 2010 is $ 63002 ;"}, "exe_ans": -1080.0, "tfidftopn": {"text_3": "future policy benefit reserve ."}, "program_re": "subtract(66107, 67187)", "model_input": [["table_1", "( dollars in thousands ) the balance at beginning of year of at december 31 , 2012 is $ 67187 ; the balance at beginning of year of at december 31 , 2011 is $ 63002 ; the balance at beginning of year of at december 31 , 2010 is $ 64536 ;"], ["table_3", "( dollars in thousands ) the adjustments to reserves of at december 31 , 2012 is 2365 ; the adjustments to reserves of at december 31 , 2011 is 8449 ; the adjustments to reserves of at december 31 , 2010 is 2944 ;"], ["table_5", "( dollars in thousands ) the balance at end of year of at december 31 , 2012 is $ 66107 ; the balance at end of year of at december 31 , 2011 is $ 67187 ; the balance at end of year of at december 31 , 2010 is $ 63002 ;"]]}, "answers": ["-1080"]}, "rejected_source": {"id": "RE/2012/page_123.pdf-3", "qa": {"question": "what is the net change in reserve for future policy benefits during 2011?", "answer": "4185", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "67187", "arg2": "63002", "res": "4185"}], "program": "subtract(67187, 63002)", "gold_inds": {"table_1": "( dollars in thousands ) the balance at beginning of year of at december 31 , 2012 is $ 67187 ; the balance at beginning of year of at december 31 , 2011 is $ 63002 ; the balance at beginning of year of at december 31 , 2010 is $ 64536 ;", "table_5": "( dollars in thousands ) the balance at end of year of at december 31 , 2012 is $ 66107 ; the balance at end of year of at december 31 , 2011 is $ 67187 ; the balance at end of year of at december 31 , 2010 is $ 63002 ;"}, "exe_ans": 4185.0, "tfidftopn": {"text_3": "future policy benefit reserve ."}, "program_re": "subtract(67187, 63002)", "model_input": [["table_1", "( dollars in thousands ) the balance at beginning of year of at december 31 , 2012 is $ 67187 ; the balance at beginning of year of at december 31 , 2011 is $ 63002 ; the balance at beginning of year of at december 31 , 2010 is $ 64536 ;"], ["table_3", "( dollars in thousands ) the adjustments to reserves of at december 31 , 2012 is 2365 ; the adjustments to reserves of at december 31 , 2011 is 8449 ; the adjustments to reserves of at december 31 , 2010 is 2944 ;"], ["table_5", "( dollars in thousands ) the balance at end of year of at december 31 , 2012 is $ 66107 ; the balance at end of year of at december 31 , 2011 is $ 67187 ; the balance at end of year of at december 31 , 2010 is $ 63002 ;"]]}, "answers": ["4185"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001230", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in reserve for future policy benefits during 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "4185.", "rejected": "-1080.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the net change in reserve for future policy benefits <TIME>?", "doc_prefix": "RE", "base_question": "what is the net change in reserve for future policy benefits <TIME>?", "original_question": "what is the net change in reserve for future policy benefits during 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4185": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "-1080": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "RE/2012/page_123.pdf-3", "qa": {"question": "what is the net change in reserve for future policy benefits during 2011?", "answer": "4185", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "67187", "arg2": "63002", "res": "4185"}], "program": "subtract(67187, 63002)", "gold_inds": {"table_1": "( dollars in thousands ) the balance at beginning of year of at december 31 , 2012 is $ 67187 ; the balance at beginning of year of at december 31 , 2011 is $ 63002 ; the balance at beginning of year of at december 31 , 2010 is $ 64536 ;", "table_5": "( dollars in thousands ) the balance at end of year of at december 31 , 2012 is $ 66107 ; the balance at end of year of at december 31 , 2011 is $ 67187 ; the balance at end of year of at december 31 , 2010 is $ 63002 ;"}, "exe_ans": 4185.0, "tfidftopn": {"text_3": "future policy benefit reserve ."}, "program_re": "subtract(67187, 63002)", "model_input": [["table_1", "( dollars in thousands ) the balance at beginning of year of at december 31 , 2012 is $ 67187 ; the balance at beginning of year of at december 31 , 2011 is $ 63002 ; the balance at beginning of year of at december 31 , 2010 is $ 64536 ;"], ["table_3", "( dollars in thousands ) the adjustments to reserves of at december 31 , 2012 is 2365 ; the adjustments to reserves of at december 31 , 2011 is 8449 ; the adjustments to reserves of at december 31 , 2010 is 2944 ;"], ["table_5", "( dollars in thousands ) the balance at end of year of at december 31 , 2012 is $ 66107 ; the balance at end of year of at december 31 , 2011 is $ 67187 ; the balance at end of year of at december 31 , 2010 is $ 63002 ;"]]}, "answers": ["4185"]}, "rejected_source": {"id": "RE/2012/page_123.pdf-1", "qa": {"question": "what is the net change in reserve for future policy benefits during 2012?", "answer": "-1080", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "66107", "arg2": "67187", "res": "-1080"}], "program": "subtract(66107, 67187)", "gold_inds": {"table_1": "( dollars in thousands ) the balance at beginning of year of at december 31 , 2012 is $ 67187 ; the balance at beginning of year of at december 31 , 2011 is $ 63002 ; the balance at beginning of year of at december 31 , 2010 is $ 64536 ;", "table_5": "( dollars in thousands ) the balance at end of year of at december 31 , 2012 is $ 66107 ; the balance at end of year of at december 31 , 2011 is $ 67187 ; the balance at end of year of at december 31 , 2010 is $ 63002 ;"}, "exe_ans": -1080.0, "tfidftopn": {"text_3": "future policy benefit reserve ."}, "program_re": "subtract(66107, 67187)", "model_input": [["table_1", "( dollars in thousands ) the balance at beginning of year of at december 31 , 2012 is $ 67187 ; the balance at beginning of year of at december 31 , 2011 is $ 63002 ; the balance at beginning of year of at december 31 , 2010 is $ 64536 ;"], ["table_3", "( dollars in thousands ) the adjustments to reserves of at december 31 , 2012 is 2365 ; the adjustments to reserves of at december 31 , 2011 is 8449 ; the adjustments to reserves of at december 31 , 2010 is 2944 ;"], ["table_5", "( dollars in thousands ) the balance at end of year of at december 31 , 2012 is $ 66107 ; the balance at end of year of at december 31 , 2011 is $ 67187 ; the balance at end of year of at december 31 , 2010 is $ 63002 ;"]]}, "answers": ["-1080"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001231", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total brokerage payables at december 31 , 2018 where receivables from customers?\nReference time interval: 2018-12-31 00:00:00 to 2019-01-01 00:00:00", "chosen": "22%.", "rejected": "31%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total brokerage payables <TIME> where receivables from customers?", "doc_prefix": "C", "base_question": "what percentage of total brokerage payables <TIME> where receivables from customers?", "original_question": "what percentage of total brokerage payables at december 31 , 2018 where receivables from customers?", "reference_time": {"start": "2018-12-31 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"31%": [{"start": "2017-12-31 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017-12-31"}], "22%": [{"start": "2018-12-31 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018-12-31"}]}, "chosen_source": {"id": "C/2018/page_200.pdf-2", "qa": {"question": "what percentage of total brokerage payables at december 31 , 2018 where receivables from customers?", "answer": "22%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "14415", "arg2": "64571", "res": "22%"}], "program": "divide(14415, 64571)", "gold_inds": {"table_1": "in millions of dollars the receivables from customers of december 31 , 2018 is $ 14415 ; the receivables from customers of december 31 , 2017 is $ 19215 ;", "table_6": "in millions of dollars the total brokerage payables ( 1 ) of december 31 , 2018 is $ 64571 ; the total brokerage payables ( 1 ) of december 31 , 2017 is $ 61342 ;"}, "exe_ans": 0.22324, "tfidftopn": {"table_3": "in millions of dollars The total brokerage receivables ( 1 ) of december 31 , 2018 is $ 35450 ; The total brokerage receivables ( 1 ) of december 31 , 2017 is $ 38384 ;"}, "program_re": "divide(14415, 64571)", "model_input": [["table_1", "in millions of dollars the receivables from customers of december 31 , 2018 is $ 14415 ; the receivables from customers of december 31 , 2017 is $ 19215 ;"], ["table_3", "in millions of dollars the total brokerage receivables ( 1 ) of december 31 , 2018 is $ 35450 ; the total brokerage receivables ( 1 ) of december 31 , 2017 is $ 38384 ;"], ["table_6", "in millions of dollars the total brokerage payables ( 1 ) of december 31 , 2018 is $ 64571 ; the total brokerage payables ( 1 ) of december 31 , 2017 is $ 61342 ;"]]}, "answers": ["22%"]}, "rejected_source": {"id": "C/2018/page_200.pdf-1", "qa": {"question": "what percentage of total brokerage payables at december 31 , 2017 where receivables from customers?", "answer": "31%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "19215", "arg2": "61342", "res": "31%"}], "program": "divide(19215, 61342)", "gold_inds": {"table_1": "in millions of dollars the receivables from customers of december 31 , 2018 is $ 14415 ; the receivables from customers of december 31 , 2017 is $ 19215 ;", "table_6": "in millions of dollars the total brokerage payables ( 1 ) of december 31 , 2018 is $ 64571 ; the total brokerage payables ( 1 ) of december 31 , 2017 is $ 61342 ;"}, "exe_ans": 0.31324, "tfidftopn": {"table_3": "in millions of dollars The total brokerage receivables ( 1 ) of december 31 , 2018 is $ 35450 ; The total brokerage receivables ( 1 ) of december 31 , 2017 is $ 38384 ;"}, "program_re": "divide(19215, 61342)", "model_input": [["table_1", "in millions of dollars the receivables from customers of december 31 , 2018 is $ 14415 ; the receivables from customers of december 31 , 2017 is $ 19215 ;"], ["table_3", "in millions of dollars the total brokerage receivables ( 1 ) of december 31 , 2018 is $ 35450 ; the total brokerage receivables ( 1 ) of december 31 , 2017 is $ 38384 ;"], ["table_6", "in millions of dollars the total brokerage payables ( 1 ) of december 31 , 2018 is $ 64571 ; the total brokerage payables ( 1 ) of december 31 , 2017 is $ 61342 ;"]]}, "answers": ["31%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001232", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total brokerage payables at december 31 , 2017 where receivables from customers?\nReference time interval: 2017-12-31 00:00:00 to 2018-01-01 00:00:00", "chosen": "31%.", "rejected": "22%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total brokerage payables <TIME> where receivables from customers?", "doc_prefix": "C", "base_question": "what percentage of total brokerage payables <TIME> where receivables from customers?", "original_question": "what percentage of total brokerage payables at december 31 , 2017 where receivables from customers?", "reference_time": {"start": "2017-12-31 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"31%": [{"start": "2017-12-31 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017-12-31"}], "22%": [{"start": "2018-12-31 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018-12-31"}]}, "chosen_source": {"id": "C/2018/page_200.pdf-1", "qa": {"question": "what percentage of total brokerage payables at december 31 , 2017 where receivables from customers?", "answer": "31%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "19215", "arg2": "61342", "res": "31%"}], "program": "divide(19215, 61342)", "gold_inds": {"table_1": "in millions of dollars the receivables from customers of december 31 , 2018 is $ 14415 ; the receivables from customers of december 31 , 2017 is $ 19215 ;", "table_6": "in millions of dollars the total brokerage payables ( 1 ) of december 31 , 2018 is $ 64571 ; the total brokerage payables ( 1 ) of december 31 , 2017 is $ 61342 ;"}, "exe_ans": 0.31324, "tfidftopn": {"table_3": "in millions of dollars The total brokerage receivables ( 1 ) of december 31 , 2018 is $ 35450 ; The total brokerage receivables ( 1 ) of december 31 , 2017 is $ 38384 ;"}, "program_re": "divide(19215, 61342)", "model_input": [["table_1", "in millions of dollars the receivables from customers of december 31 , 2018 is $ 14415 ; the receivables from customers of december 31 , 2017 is $ 19215 ;"], ["table_3", "in millions of dollars the total brokerage receivables ( 1 ) of december 31 , 2018 is $ 35450 ; the total brokerage receivables ( 1 ) of december 31 , 2017 is $ 38384 ;"], ["table_6", "in millions of dollars the total brokerage payables ( 1 ) of december 31 , 2018 is $ 64571 ; the total brokerage payables ( 1 ) of december 31 , 2017 is $ 61342 ;"]]}, "answers": ["31%"]}, "rejected_source": {"id": "C/2018/page_200.pdf-2", "qa": {"question": "what percentage of total brokerage payables at december 31 , 2018 where receivables from customers?", "answer": "22%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "14415", "arg2": "64571", "res": "22%"}], "program": "divide(14415, 64571)", "gold_inds": {"table_1": "in millions of dollars the receivables from customers of december 31 , 2018 is $ 14415 ; the receivables from customers of december 31 , 2017 is $ 19215 ;", "table_6": "in millions of dollars the total brokerage payables ( 1 ) of december 31 , 2018 is $ 64571 ; the total brokerage payables ( 1 ) of december 31 , 2017 is $ 61342 ;"}, "exe_ans": 0.22324, "tfidftopn": {"table_3": "in millions of dollars The total brokerage receivables ( 1 ) of december 31 , 2018 is $ 35450 ; The total brokerage receivables ( 1 ) of december 31 , 2017 is $ 38384 ;"}, "program_re": "divide(14415, 64571)", "model_input": [["table_1", "in millions of dollars the receivables from customers of december 31 , 2018 is $ 14415 ; the receivables from customers of december 31 , 2017 is $ 19215 ;"], ["table_3", "in millions of dollars the total brokerage receivables ( 1 ) of december 31 , 2018 is $ 35450 ; the total brokerage receivables ( 1 ) of december 31 , 2017 is $ 38384 ;"], ["table_6", "in millions of dollars the total brokerage payables ( 1 ) of december 31 , 2018 is $ 64571 ; the total brokerage payables ( 1 ) of december 31 , 2017 is $ 61342 ;"]]}, "answers": ["22%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001233", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net reserves in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-11.1%.", "rejected": "13.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the growth rate in net reserves <TIME>?", "doc_prefix": "RE", "base_question": "what is the growth rate in net reserves <TIME>?", "original_question": "what is the growth rate in net reserves in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-11.1%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "13.5%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "RE/2006/page_31.pdf-2", "qa": {"question": "what is the growth rate in net reserves in 2005?", "answer": "-11.1%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "450.5", "arg2": "506.7", "res": "-56.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "506.7", "res": "-11.1%"}], "program": "subtract(450.5, 506.7), divide(#0, 506.7)", "gold_inds": {"table_7": "( dollars in millions ) the net reserves of 2006 is $ 511.4 ; the net reserves of 2005 is $ 450.5 ; the net reserves of 2004 is $ 506.7 ;"}, "exe_ans": -0.11091, "tfidftopn": {"table_5": "( dollars in millions ) The gross reserves of 2006 is 650.1 ; The gross reserves of 2005 is 649.6 ; The gross reserves of 2004 is 728.3 ;", "text_31": "the following table summarizes the composition of the company 2019s total reserves for a&e losses , gross and net of reinsurance , for the years ended december 31: ."}, "program_re": "divide(subtract(450.5, 506.7), 506.7)", "model_input": [["table_1", "( dollars in millions ) the case reserves reported by ceding companies of 2006 is $ 135.6 ; the case reserves reported by ceding companies of 2005 is $ 125.2 ; the case reserves reported by ceding companies of 2004 is $ 148.5 ;"], ["table_5", "( dollars in millions ) the gross reserves of 2006 is 650.1 ; the gross reserves of 2005 is 649.6 ; the gross reserves of 2004 is 728.3 ;"], ["table_7", "( dollars in millions ) the net reserves of 2006 is $ 511.4 ; the net reserves of 2005 is $ 450.5 ; the net reserves of 2004 is $ 506.7 ;"]]}, "answers": ["-11.1%"]}, "rejected_source": {"id": "RE/2006/page_31.pdf-1", "qa": {"question": "what is the growth rate in net reserves in 2006?", "answer": "13.5%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "511.4", "arg2": "450.5", "res": "60.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "450.5", "res": "13.5%"}], "program": "subtract(511.4, 450.5), divide(#0, 450.5)", "gold_inds": {"table_7": "( dollars in millions ) the net reserves of 2006 is $ 511.4 ; the net reserves of 2005 is $ 450.5 ; the net reserves of 2004 is $ 506.7 ;"}, "exe_ans": 0.13518, "tfidftopn": {"table_5": "( dollars in millions ) The gross reserves of 2006 is 650.1 ; The gross reserves of 2005 is 649.6 ; The gross reserves of 2004 is 728.3 ;", "text_31": "the following table summarizes the composition of the company 2019s total reserves for a&e losses , gross and net of reinsurance , for the years ended december 31: ."}, "program_re": "divide(subtract(511.4, 450.5), 450.5)", "model_input": [["table_1", "( dollars in millions ) the case reserves reported by ceding companies of 2006 is $ 135.6 ; the case reserves reported by ceding companies of 2005 is $ 125.2 ; the case reserves reported by ceding companies of 2004 is $ 148.5 ;"], ["table_5", "( dollars in millions ) the gross reserves of 2006 is 650.1 ; the gross reserves of 2005 is 649.6 ; the gross reserves of 2004 is 728.3 ;"], ["table_7", "( dollars in millions ) the net reserves of 2006 is $ 511.4 ; the net reserves of 2005 is $ 450.5 ; the net reserves of 2004 is $ 506.7 ;"]]}, "answers": ["13.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001234", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net reserves in 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "13.5%.", "rejected": "-11.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "RE || what is the growth rate in net reserves <TIME>?", "doc_prefix": "RE", "base_question": "what is the growth rate in net reserves <TIME>?", "original_question": "what is the growth rate in net reserves in 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-11.1%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "13.5%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "RE/2006/page_31.pdf-1", "qa": {"question": "what is the growth rate in net reserves in 2006?", "answer": "13.5%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "511.4", "arg2": "450.5", "res": "60.9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "450.5", "res": "13.5%"}], "program": "subtract(511.4, 450.5), divide(#0, 450.5)", "gold_inds": {"table_7": "( dollars in millions ) the net reserves of 2006 is $ 511.4 ; the net reserves of 2005 is $ 450.5 ; the net reserves of 2004 is $ 506.7 ;"}, "exe_ans": 0.13518, "tfidftopn": {"table_5": "( dollars in millions ) The gross reserves of 2006 is 650.1 ; The gross reserves of 2005 is 649.6 ; The gross reserves of 2004 is 728.3 ;", "text_31": "the following table summarizes the composition of the company 2019s total reserves for a&e losses , gross and net of reinsurance , for the years ended december 31: ."}, "program_re": "divide(subtract(511.4, 450.5), 450.5)", "model_input": [["table_1", "( dollars in millions ) the case reserves reported by ceding companies of 2006 is $ 135.6 ; the case reserves reported by ceding companies of 2005 is $ 125.2 ; the case reserves reported by ceding companies of 2004 is $ 148.5 ;"], ["table_5", "( dollars in millions ) the gross reserves of 2006 is 650.1 ; the gross reserves of 2005 is 649.6 ; the gross reserves of 2004 is 728.3 ;"], ["table_7", "( dollars in millions ) the net reserves of 2006 is $ 511.4 ; the net reserves of 2005 is $ 450.5 ; the net reserves of 2004 is $ 506.7 ;"]]}, "answers": ["13.5%"]}, "rejected_source": {"id": "RE/2006/page_31.pdf-2", "qa": {"question": "what is the growth rate in net reserves in 2005?", "answer": "-11.1%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "450.5", "arg2": "506.7", "res": "-56.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "506.7", "res": "-11.1%"}], "program": "subtract(450.5, 506.7), divide(#0, 506.7)", "gold_inds": {"table_7": "( dollars in millions ) the net reserves of 2006 is $ 511.4 ; the net reserves of 2005 is $ 450.5 ; the net reserves of 2004 is $ 506.7 ;"}, "exe_ans": -0.11091, "tfidftopn": {"table_5": "( dollars in millions ) The gross reserves of 2006 is 650.1 ; The gross reserves of 2005 is 649.6 ; The gross reserves of 2004 is 728.3 ;", "text_31": "the following table summarizes the composition of the company 2019s total reserves for a&e losses , gross and net of reinsurance , for the years ended december 31: ."}, "program_re": "divide(subtract(450.5, 506.7), 506.7)", "model_input": [["table_1", "( dollars in millions ) the case reserves reported by ceding companies of 2006 is $ 135.6 ; the case reserves reported by ceding companies of 2005 is $ 125.2 ; the case reserves reported by ceding companies of 2004 is $ 148.5 ;"], ["table_5", "( dollars in millions ) the gross reserves of 2006 is 650.1 ; the gross reserves of 2005 is 649.6 ; the gross reserves of 2004 is 728.3 ;"], ["table_7", "( dollars in millions ) the net reserves of 2006 is $ 511.4 ; the net reserves of 2005 is $ 450.5 ; the net reserves of 2004 is $ 506.7 ;"]]}, "answers": ["-11.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001235", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2011 , what percent of new sites were foreign?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "68%.", "rejected": "89%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || <TIME> , what percent of new sites were foreign?", "doc_prefix": "AMT", "base_question": "<TIME> , what percent of new sites were foreign?", "original_question": "in 2011 , what percent of new sites were foreign?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"68%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "89%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "AMT/2012/page_56.pdf-2", "qa": {"question": "in 2011 , what percent of new sites were foreign?", "answer": "68%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "470", "arg2": "const_1000", "res": "1470"}, {"op": "divide2-2", "arg1": "const_1000", "arg2": "#0", "res": "68%"}], "program": "add(470, const_1000), divide(const_1000, #0)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the domestic of 2012 is 960 ; the domestic of 2011 is 470 ; the domestic of 2010 is 950 ;", "table_2": "new sites ( acquired or constructed ) the international ( 1 ) of 2012 is 7850 ; the international ( 1 ) of 2011 is 10000 ; the international ( 1 ) of 2010 is 6870 ;"}, "exe_ans": 0.68027, "tfidftopn": {"text_9": "in a majority of our international markets , the acquisition or construction of new sites results in increased pass-through revenues and expenses ."}, "program_re": "divide(const_1000, add(470, const_1000))", "model_input": [["table_1", "new sites ( acquired or constructed ) the domestic of 2012 is 960 ; the domestic of 2011 is 470 ; the domestic of 2010 is 950 ;"], ["table_2", "new sites ( acquired or constructed ) the international ( 1 ) of 2012 is 7850 ; the international ( 1 ) of 2011 is 10000 ; the international ( 1 ) of 2010 is 6870 ;"], ["text_11", "( 1 ) the majority of sites acquired or constructed in 2012 were in brazil , germany , india and uganda ; in 2011 were in brazil , colombia , ghana , india , mexico and south africa ; and in 2010 were in chile , colombia , india and peru ."]]}, "answers": ["68%"]}, "rejected_source": {"id": "AMT/2012/page_56.pdf-1", "qa": {"question": "in 2012 , what percent of new sites were foreign?", "answer": "89%", "explanation": "foreign = international", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "960", "arg2": "7850", "res": "8810"}, {"op": "divide1-2", "arg1": "7850", "arg2": "#0", "res": "89%"}], "program": "add(960, 7850), divide(7850, #0)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the domestic of 2012 is 960 ; the domestic of 2011 is 470 ; the domestic of 2010 is 950 ;", "table_2": "new sites ( acquired or constructed ) the international ( 1 ) of 2012 is 7850 ; the international ( 1 ) of 2011 is 10000 ; the international ( 1 ) of 2010 is 6870 ;"}, "exe_ans": 0.89103, "tfidftopn": {"text_9": "in a majority of our international markets , the acquisition or construction of new sites results in increased pass-through revenues and expenses ."}, "program_re": "divide(7850, add(960, 7850))", "model_input": [["table_1", "new sites ( acquired or constructed ) the domestic of 2012 is 960 ; the domestic of 2011 is 470 ; the domestic of 2010 is 950 ;"], ["table_2", "new sites ( acquired or constructed ) the international ( 1 ) of 2012 is 7850 ; the international ( 1 ) of 2011 is 10000 ; the international ( 1 ) of 2010 is 6870 ;"], ["text_11", "( 1 ) the majority of sites acquired or constructed in 2012 were in brazil , germany , india and uganda ; in 2011 were in brazil , colombia , ghana , india , mexico and south africa ; and in 2010 were in chile , colombia , india and peru ."]]}, "answers": ["89%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001236", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2012 , what percent of new sites were foreign?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "89%.", "rejected": "68%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || <TIME> , what percent of new sites were foreign?", "doc_prefix": "AMT", "base_question": "<TIME> , what percent of new sites were foreign?", "original_question": "in 2012 , what percent of new sites were foreign?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"68%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "89%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "AMT/2012/page_56.pdf-1", "qa": {"question": "in 2012 , what percent of new sites were foreign?", "answer": "89%", "explanation": "foreign = international", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "960", "arg2": "7850", "res": "8810"}, {"op": "divide1-2", "arg1": "7850", "arg2": "#0", "res": "89%"}], "program": "add(960, 7850), divide(7850, #0)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the domestic of 2012 is 960 ; the domestic of 2011 is 470 ; the domestic of 2010 is 950 ;", "table_2": "new sites ( acquired or constructed ) the international ( 1 ) of 2012 is 7850 ; the international ( 1 ) of 2011 is 10000 ; the international ( 1 ) of 2010 is 6870 ;"}, "exe_ans": 0.89103, "tfidftopn": {"text_9": "in a majority of our international markets , the acquisition or construction of new sites results in increased pass-through revenues and expenses ."}, "program_re": "divide(7850, add(960, 7850))", "model_input": [["table_1", "new sites ( acquired or constructed ) the domestic of 2012 is 960 ; the domestic of 2011 is 470 ; the domestic of 2010 is 950 ;"], ["table_2", "new sites ( acquired or constructed ) the international ( 1 ) of 2012 is 7850 ; the international ( 1 ) of 2011 is 10000 ; the international ( 1 ) of 2010 is 6870 ;"], ["text_11", "( 1 ) the majority of sites acquired or constructed in 2012 were in brazil , germany , india and uganda ; in 2011 were in brazil , colombia , ghana , india , mexico and south africa ; and in 2010 were in chile , colombia , india and peru ."]]}, "answers": ["89%"]}, "rejected_source": {"id": "AMT/2012/page_56.pdf-2", "qa": {"question": "in 2011 , what percent of new sites were foreign?", "answer": "68%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "470", "arg2": "const_1000", "res": "1470"}, {"op": "divide2-2", "arg1": "const_1000", "arg2": "#0", "res": "68%"}], "program": "add(470, const_1000), divide(const_1000, #0)", "gold_inds": {"table_1": "new sites ( acquired or constructed ) the domestic of 2012 is 960 ; the domestic of 2011 is 470 ; the domestic of 2010 is 950 ;", "table_2": "new sites ( acquired or constructed ) the international ( 1 ) of 2012 is 7850 ; the international ( 1 ) of 2011 is 10000 ; the international ( 1 ) of 2010 is 6870 ;"}, "exe_ans": 0.68027, "tfidftopn": {"text_9": "in a majority of our international markets , the acquisition or construction of new sites results in increased pass-through revenues and expenses ."}, "program_re": "divide(const_1000, add(470, const_1000))", "model_input": [["table_1", "new sites ( acquired or constructed ) the domestic of 2012 is 960 ; the domestic of 2011 is 470 ; the domestic of 2010 is 950 ;"], ["table_2", "new sites ( acquired or constructed ) the international ( 1 ) of 2012 is 7850 ; the international ( 1 ) of 2011 is 10000 ; the international ( 1 ) of 2010 is 6870 ;"], ["text_11", "( 1 ) the majority of sites acquired or constructed in 2012 were in brazil , germany , india and uganda ; in 2011 were in brazil , colombia , ghana , india , mexico and south africa ; and in 2010 were in chile , colombia , india and peru ."]]}, "answers": ["68%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001237", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in annual operating cash flow from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "102%.", "rejected": "83%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what is the percentage change in annual operating cash flow <TIME>?", "doc_prefix": "AAPL", "base_question": "what is the percentage change in annual operating cash flow <TIME>?", "original_question": "what is the percentage change in annual operating cash flow from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"83%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "102%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "AAPL/2011/page_38.pdf-1", "qa": {"question": "what is the percentage change in annual operating cash flow from 2010 to 2011?", "answer": "102%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "37529", "arg2": "18595", "res": "18934"}, {"op": "divide1-2", "arg1": "#0", "arg2": "18595", "res": "102%"}], "program": "subtract(37529, 18595), divide(#0, 18595)", "gold_inds": {"table_5": "the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ; the annual operating cash flow of 2009 is $ 10159 ;"}, "exe_ans": 1.01823, "tfidftopn": {"table_1": "The cash cash equivalents and marketable securities of 2011 is $ 81570 ; The cash cash equivalents and marketable securities of 2010 is $ 51011 ; The cash cash equivalents and marketable securities of 2009 is $ 33992 ;", "text_19": "as of september 24 , 2011 and september 25 , 2010 , $ 54.3 billion and $ 30.8 billion , respectively , of the company 2019s cash , cash equivalents and marketable securities were held by foreign subsidiaries and are generally based in u.s ."}, "program_re": "divide(subtract(37529, 18595), 18595)", "model_input": [["table_1", "the cash cash equivalents and marketable securities of 2011 is $ 81570 ; the cash cash equivalents and marketable securities of 2010 is $ 51011 ; the cash cash equivalents and marketable securities of 2009 is $ 33992 ;"], ["table_5", "the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ; the annual operating cash flow of 2009 is $ 10159 ;"], ["text_16", "the company believes its existing balances of cash , cash equivalents and marketable securities will be sufficient to satisfy its working capital needs , capital asset purchases , outstanding commitments and other liquidity requirements associated with its existing operations over the next 12 months ."]]}, "answers": ["102%"]}, "rejected_source": {"id": "AAPL/2011/page_38.pdf-2", "qa": {"question": "what is the percentage change in annual operating cash flow from 2009 to 2010?", "answer": "83%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "18595", "arg2": "10159", "res": "8436"}, {"op": "divide2-2", "arg1": "#0", "arg2": "10159", "res": "83%"}], "program": "subtract(18595, 10159), divide(#0, 10159)", "gold_inds": {"table_5": "the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ; the annual operating cash flow of 2009 is $ 10159 ;"}, "exe_ans": 0.8304, "tfidftopn": {"table_1": "The cash cash equivalents and marketable securities of 2011 is $ 81570 ; The cash cash equivalents and marketable securities of 2010 is $ 51011 ; The cash cash equivalents and marketable securities of 2009 is $ 33992 ;", "text_19": "as of september 24 , 2011 and september 25 , 2010 , $ 54.3 billion and $ 30.8 billion , respectively , of the company 2019s cash , cash equivalents and marketable securities were held by foreign subsidiaries and are generally based in u.s ."}, "program_re": "divide(subtract(18595, 10159), 10159)", "model_input": [["table_1", "the cash cash equivalents and marketable securities of 2011 is $ 81570 ; the cash cash equivalents and marketable securities of 2010 is $ 51011 ; the cash cash equivalents and marketable securities of 2009 is $ 33992 ;"], ["table_5", "the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ; the annual operating cash flow of 2009 is $ 10159 ;"], ["text_16", "the company believes its existing balances of cash , cash equivalents and marketable securities will be sufficient to satisfy its working capital needs , capital asset purchases , outstanding commitments and other liquidity requirements associated with its existing operations over the next 12 months ."]]}, "answers": ["83%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001238", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in annual operating cash flow from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "83%.", "rejected": "102%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what is the percentage change in annual operating cash flow <TIME>?", "doc_prefix": "AAPL", "base_question": "what is the percentage change in annual operating cash flow <TIME>?", "original_question": "what is the percentage change in annual operating cash flow from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"83%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "102%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "AAPL/2011/page_38.pdf-2", "qa": {"question": "what is the percentage change in annual operating cash flow from 2009 to 2010?", "answer": "83%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "18595", "arg2": "10159", "res": "8436"}, {"op": "divide2-2", "arg1": "#0", "arg2": "10159", "res": "83%"}], "program": "subtract(18595, 10159), divide(#0, 10159)", "gold_inds": {"table_5": "the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ; the annual operating cash flow of 2009 is $ 10159 ;"}, "exe_ans": 0.8304, "tfidftopn": {"table_1": "The cash cash equivalents and marketable securities of 2011 is $ 81570 ; The cash cash equivalents and marketable securities of 2010 is $ 51011 ; The cash cash equivalents and marketable securities of 2009 is $ 33992 ;", "text_19": "as of september 24 , 2011 and september 25 , 2010 , $ 54.3 billion and $ 30.8 billion , respectively , of the company 2019s cash , cash equivalents and marketable securities were held by foreign subsidiaries and are generally based in u.s ."}, "program_re": "divide(subtract(18595, 10159), 10159)", "model_input": [["table_1", "the cash cash equivalents and marketable securities of 2011 is $ 81570 ; the cash cash equivalents and marketable securities of 2010 is $ 51011 ; the cash cash equivalents and marketable securities of 2009 is $ 33992 ;"], ["table_5", "the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ; the annual operating cash flow of 2009 is $ 10159 ;"], ["text_16", "the company believes its existing balances of cash , cash equivalents and marketable securities will be sufficient to satisfy its working capital needs , capital asset purchases , outstanding commitments and other liquidity requirements associated with its existing operations over the next 12 months ."]]}, "answers": ["83%"]}, "rejected_source": {"id": "AAPL/2011/page_38.pdf-1", "qa": {"question": "what is the percentage change in annual operating cash flow from 2010 to 2011?", "answer": "102%", "explanation": "", "ann_table_rows": [5], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "37529", "arg2": "18595", "res": "18934"}, {"op": "divide1-2", "arg1": "#0", "arg2": "18595", "res": "102%"}], "program": "subtract(37529, 18595), divide(#0, 18595)", "gold_inds": {"table_5": "the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ; the annual operating cash flow of 2009 is $ 10159 ;"}, "exe_ans": 1.01823, "tfidftopn": {"table_1": "The cash cash equivalents and marketable securities of 2011 is $ 81570 ; The cash cash equivalents and marketable securities of 2010 is $ 51011 ; The cash cash equivalents and marketable securities of 2009 is $ 33992 ;", "text_19": "as of september 24 , 2011 and september 25 , 2010 , $ 54.3 billion and $ 30.8 billion , respectively , of the company 2019s cash , cash equivalents and marketable securities were held by foreign subsidiaries and are generally based in u.s ."}, "program_re": "divide(subtract(37529, 18595), 18595)", "model_input": [["table_1", "the cash cash equivalents and marketable securities of 2011 is $ 81570 ; the cash cash equivalents and marketable securities of 2010 is $ 51011 ; the cash cash equivalents and marketable securities of 2009 is $ 33992 ;"], ["table_5", "the annual operating cash flow of 2011 is $ 37529 ; the annual operating cash flow of 2010 is $ 18595 ; the annual operating cash flow of 2009 is $ 10159 ;"], ["text_16", "the company believes its existing balances of cash , cash equivalents and marketable securities will be sufficient to satisfy its working capital needs , capital asset purchases , outstanding commitments and other liquidity requirements associated with its existing operations over the next 12 months ."]]}, "answers": ["102%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001239", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum lease payments under noncancelable operating leases are due in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "12%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what percentage of future minimum lease payments under noncancelable operating leases are due <TIME>?", "doc_prefix": "AAPL", "base_question": "what percentage of future minimum lease payments under noncancelable operating leases are due <TIME>?", "original_question": "what percentage of future minimum lease payments under noncancelable operating leases are due in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "12%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "AAPL/2015/page_68.pdf-2", "qa": {"question": "what percentage of future minimum lease payments under noncancelable operating leases are due in 2018?", "answer": "12%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "744", "arg2": "6271", "res": "12%"}], "program": "divide(744, 6271)", "gold_inds": {"table_2": "2016 the 2018 of $ 772 is 744 ;", "table_6": "2016 the total of $ 772 is $ 6271 ;"}, "exe_ans": 0.11864, "tfidftopn": {"text_17": "as of september 26 , 2015 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 6.3 billion , of which $ 3.6 billion related to leases for retail space ."}, "program_re": "divide(744, 6271)", "model_input": [["table_2", "2016 the 2018 of $ 772 is 744 ;"], ["table_3", "2016 the 2019 of $ 772 is 715 ;"], ["table_6", "2016 the total of $ 772 is $ 6271 ;"]]}, "answers": ["12%"]}, "rejected_source": {"id": "AAPL/2014/page_78.pdf-3", "qa": {"question": "what percentage of future minimum lease payments under noncancelable operating leases are due in 2017?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "645", "arg2": "4987", "res": "13%"}], "program": "divide(645, 4987)", "gold_inds": {"table_2": "2015 the 2017 of $ 662 is 645 ;", "table_6": "2015 the total of $ 662 is $ 4987 ;"}, "exe_ans": 0.12934, "tfidftopn": {"text_19": "as of september 27 , 2014 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 5.0 billion , of which $ 3.6 billion related to leases for retail space ."}, "program_re": "divide(645, 4987)", "model_input": [["table_2", "2015 the 2017 of $ 662 is 645 ;"], ["table_5", "2015 the thereafter of $ 662 is 1877 ;"], ["table_6", "2015 the total of $ 662 is $ 4987 ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001240", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of future minimum lease payments under noncancelable operating leases are due in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "13%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AAPL || what percentage of future minimum lease payments under noncancelable operating leases are due <TIME>?", "doc_prefix": "AAPL", "base_question": "what percentage of future minimum lease payments under noncancelable operating leases are due <TIME>?", "original_question": "what percentage of future minimum lease payments under noncancelable operating leases are due in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "12%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "AAPL/2014/page_78.pdf-3", "qa": {"question": "what percentage of future minimum lease payments under noncancelable operating leases are due in 2017?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "645", "arg2": "4987", "res": "13%"}], "program": "divide(645, 4987)", "gold_inds": {"table_2": "2015 the 2017 of $ 662 is 645 ;", "table_6": "2015 the total of $ 662 is $ 4987 ;"}, "exe_ans": 0.12934, "tfidftopn": {"text_19": "as of september 27 , 2014 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 5.0 billion , of which $ 3.6 billion related to leases for retail space ."}, "program_re": "divide(645, 4987)", "model_input": [["table_2", "2015 the 2017 of $ 662 is 645 ;"], ["table_5", "2015 the thereafter of $ 662 is 1877 ;"], ["table_6", "2015 the total of $ 662 is $ 4987 ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "AAPL/2015/page_68.pdf-2", "qa": {"question": "what percentage of future minimum lease payments under noncancelable operating leases are due in 2018?", "answer": "12%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "744", "arg2": "6271", "res": "12%"}], "program": "divide(744, 6271)", "gold_inds": {"table_2": "2016 the 2018 of $ 772 is 744 ;", "table_6": "2016 the total of $ 772 is $ 6271 ;"}, "exe_ans": 0.11864, "tfidftopn": {"text_17": "as of september 26 , 2015 , the company 2019s total future minimum lease payments under noncancelable operating leases were $ 6.3 billion , of which $ 3.6 billion related to leases for retail space ."}, "program_re": "divide(744, 6271)", "model_input": [["table_2", "2016 the 2018 of $ 772 is 744 ;"], ["table_3", "2016 the 2019 of $ 772 is 715 ;"], ["table_6", "2016 the total of $ 772 is $ 6271 ;"]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001241", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was non-interest expense as a percentage of revenue in 2003?\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "65%.", "rejected": "77%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what was non-interest expense as a percentage of revenue <TIME>?", "doc_prefix": "JPM", "base_question": "what was non-interest expense as a percentage of revenue <TIME>?", "original_question": "what was non-interest expense as a percentage of revenue in 2003?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"77%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "65%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}]}, "chosen_source": {"id": "JPM/2003/page_24.pdf-2", "qa": {"question": "what was non-interest expense as a percentage of revenue in 2003?", "answer": "65%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "21688", "arg2": "33256", "res": "65%"}], "program": "divide(21688, 33256)", "gold_inds": {"table_1": "( in millions except per share and ratio data ) the revenue of 2003 is $ 33256 ; the revenue of 2002 is $ 29614 ; the revenue of change is 12% ( 12 % ) ;", "table_2": "( in millions except per share and ratio data ) the noninterest expense of 2003 is 21688 ; the noninterest expense of 2002 is 22764 ; the noninterest expense of change is -5 ( 5 ) ;"}, "exe_ans": 0.65215, "tfidftopn": {"text_42": "the investment bank 2019s revenue increased by approximately $ 1.9 billion from 2002 , and chase financial services 2019 revenue was $ 14.6 billion in 2003 , another record year. ."}, "program_re": "divide(21688, 33256)", "model_input": [["text_8", "total noninterest expense was $ 21.7 billion , down 5% ( 5 % ) from the prior year ."], ["table_1", "( in millions except per share and ratio data ) the revenue of 2003 is $ 33256 ; the revenue of 2002 is $ 29614 ; the revenue of change is 12% ( 12 % ) ;"], ["table_2", "( in millions except per share and ratio data ) the noninterest expense of 2003 is 21688 ; the noninterest expense of 2002 is 22764 ; the noninterest expense of change is -5 ( 5 ) ;"]]}, "answers": ["65%"]}, "rejected_source": {"id": "JPM/2003/page_24.pdf-1", "qa": {"question": "what was non-interest expense as a percentage of revenue in 2002?", "answer": "77%", "explanation": "looking at this ratio for a financial institution like a bank demonstrates the leverage or lack of leverage the operations has on profitability .", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "22764", "arg2": "29614", "res": "77%"}], "program": "divide(22764, 29614)", "gold_inds": {"table_1": "( in millions except per share and ratio data ) the revenue of 2003 is $ 33256 ; the revenue of 2002 is $ 29614 ; the revenue of change is 12% ( 12 % ) ;", "table_2": "( in millions except per share and ratio data ) the noninterest expense of 2003 is 21688 ; the noninterest expense of 2002 is 22764 ; the noninterest expense of change is -5 ( 5 ) ;"}, "exe_ans": 0.76869, "tfidftopn": {"text_42": "the investment bank 2019s revenue increased by approximately $ 1.9 billion from 2002 , and chase financial services 2019 revenue was $ 14.6 billion in 2003 , another record year. ."}, "program_re": "divide(22764, 29614)", "model_input": [["text_8", "total noninterest expense was $ 21.7 billion , down 5% ( 5 % ) from the prior year ."], ["table_1", "( in millions except per share and ratio data ) the revenue of 2003 is $ 33256 ; the revenue of 2002 is $ 29614 ; the revenue of change is 12% ( 12 % ) ;"], ["table_2", "( in millions except per share and ratio data ) the noninterest expense of 2003 is 21688 ; the noninterest expense of 2002 is 22764 ; the noninterest expense of change is -5 ( 5 ) ;"]]}, "answers": ["77%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001242", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was non-interest expense as a percentage of revenue in 2002?\nReference time interval: 2002-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "77%.", "rejected": "65%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "JPM || what was non-interest expense as a percentage of revenue <TIME>?", "doc_prefix": "JPM", "base_question": "what was non-interest expense as a percentage of revenue <TIME>?", "original_question": "what was non-interest expense as a percentage of revenue in 2002?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"77%": [{"start": "2002-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "2002"}], "65%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}]}, "chosen_source": {"id": "JPM/2003/page_24.pdf-1", "qa": {"question": "what was non-interest expense as a percentage of revenue in 2002?", "answer": "77%", "explanation": "looking at this ratio for a financial institution like a bank demonstrates the leverage or lack of leverage the operations has on profitability .", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "22764", "arg2": "29614", "res": "77%"}], "program": "divide(22764, 29614)", "gold_inds": {"table_1": "( in millions except per share and ratio data ) the revenue of 2003 is $ 33256 ; the revenue of 2002 is $ 29614 ; the revenue of change is 12% ( 12 % ) ;", "table_2": "( in millions except per share and ratio data ) the noninterest expense of 2003 is 21688 ; the noninterest expense of 2002 is 22764 ; the noninterest expense of change is -5 ( 5 ) ;"}, "exe_ans": 0.76869, "tfidftopn": {"text_42": "the investment bank 2019s revenue increased by approximately $ 1.9 billion from 2002 , and chase financial services 2019 revenue was $ 14.6 billion in 2003 , another record year. ."}, "program_re": "divide(22764, 29614)", "model_input": [["text_8", "total noninterest expense was $ 21.7 billion , down 5% ( 5 % ) from the prior year ."], ["table_1", "( in millions except per share and ratio data ) the revenue of 2003 is $ 33256 ; the revenue of 2002 is $ 29614 ; the revenue of change is 12% ( 12 % ) ;"], ["table_2", "( in millions except per share and ratio data ) the noninterest expense of 2003 is 21688 ; the noninterest expense of 2002 is 22764 ; the noninterest expense of change is -5 ( 5 ) ;"]]}, "answers": ["77%"]}, "rejected_source": {"id": "JPM/2003/page_24.pdf-2", "qa": {"question": "what was non-interest expense as a percentage of revenue in 2003?", "answer": "65%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "21688", "arg2": "33256", "res": "65%"}], "program": "divide(21688, 33256)", "gold_inds": {"table_1": "( in millions except per share and ratio data ) the revenue of 2003 is $ 33256 ; the revenue of 2002 is $ 29614 ; the revenue of change is 12% ( 12 % ) ;", "table_2": "( in millions except per share and ratio data ) the noninterest expense of 2003 is 21688 ; the noninterest expense of 2002 is 22764 ; the noninterest expense of change is -5 ( 5 ) ;"}, "exe_ans": 0.65215, "tfidftopn": {"text_42": "the investment bank 2019s revenue increased by approximately $ 1.9 billion from 2002 , and chase financial services 2019 revenue was $ 14.6 billion in 2003 , another record year. ."}, "program_re": "divide(21688, 33256)", "model_input": [["text_8", "total noninterest expense was $ 21.7 billion , down 5% ( 5 % ) from the prior year ."], ["table_1", "( in millions except per share and ratio data ) the revenue of 2003 is $ 33256 ; the revenue of 2002 is $ 29614 ; the revenue of change is 12% ( 12 % ) ;"], ["table_2", "( in millions except per share and ratio data ) the noninterest expense of 2003 is 21688 ; the noninterest expense of 2002 is 22764 ; the noninterest expense of change is -5 ( 5 ) ;"]]}, "answers": ["65%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001243", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , 2016 , in millions?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "1860.4.", "rejected": "742.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , <TIME> , in millions?", "doc_prefix": "ETR", "base_question": "what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , <TIME> , in millions?", "original_question": "what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , 2016 , in millions?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"742.7": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "1860.4": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2016/page_144.pdf-4", "qa": {"question": "what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , 2016 , in millions?", "answer": "1860.4", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "307403", "arg2": "828084", "res": "1135487"}, {"op": "add2-2", "arg1": "#0", "arg2": "724899", "res": "1860386"}, {"op": "divide2-3", "arg1": "#1", "arg2": "const_1000", "res": "1860.4"}], "program": "add(307403, 828084), add(#0, 724899), divide(#1, const_1000)", "gold_inds": {"table_1": "the 2017 of amount ( in thousands ) is $ 307403 ;", "table_2": "the 2018 of amount ( in thousands ) is $ 828084 ;", "table_3": "the 2019 of amount ( in thousands ) is $ 724899 ;"}, "exe_ans": 1860.386, "tfidftopn": {}, "program_re": "divide(add(add(307403, 828084), 724899), const_1000)", "model_input": [["table_1", "the 2017 of amount ( in thousands ) is $ 307403 ;"], ["table_2", "the 2018 of amount ( in thousands ) is $ 828084 ;"], ["table_3", "the 2019 of amount ( in thousands ) is $ 724899 ;"]]}, "answers": ["1860.4"]}, "rejected_source": {"id": "ETR/2004/page_86.pdf-2", "qa": {"question": "what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , 2004 , in millions?", "answer": "742.7", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "467298", "arg2": "75896", "res": "543194"}, {"op": "add2-2", "arg1": "#0", "arg2": "199539", "res": "742733"}, {"op": "divide2-3", "arg1": "#1", "arg2": "const_1000", "res": "742.7"}], "program": "add(467298, 75896), add(#0, 199539), divide(#1, const_1000)", "gold_inds": {"table_1": "the 2005 of ( in thousands ) is $ 467298 ;", "table_2": "the 2006 of ( in thousands ) is $ 75896 ;", "table_3": "the 2007 of ( in thousands ) is $ 199539 ;"}, "exe_ans": 742.733, "tfidftopn": {}, "program_re": "divide(add(add(467298, 75896), 199539), const_1000)", "model_input": [["table_1", "the 2005 of ( in thousands ) is $ 467298 ;"], ["table_2", "the 2006 of ( in thousands ) is $ 75896 ;"], ["table_3", "the 2007 of ( in thousands ) is $ 199539 ;"]]}, "answers": ["742.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001244", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , 2004 , in millions?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "742.7.", "rejected": "1860.4.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ETR || what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , <TIME> , in millions?", "doc_prefix": "ETR", "base_question": "what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , <TIME> , in millions?", "original_question": "what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , 2004 , in millions?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"742.7": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "1860.4": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "ETR/2004/page_86.pdf-2", "qa": {"question": "what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , 2004 , in millions?", "answer": "742.7", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "467298", "arg2": "75896", "res": "543194"}, {"op": "add2-2", "arg1": "#0", "arg2": "199539", "res": "742733"}, {"op": "divide2-3", "arg1": "#1", "arg2": "const_1000", "res": "742.7"}], "program": "add(467298, 75896), add(#0, 199539), divide(#1, const_1000)", "gold_inds": {"table_1": "the 2005 of ( in thousands ) is $ 467298 ;", "table_2": "the 2006 of ( in thousands ) is $ 75896 ;", "table_3": "the 2007 of ( in thousands ) is $ 199539 ;"}, "exe_ans": 742.733, "tfidftopn": {}, "program_re": "divide(add(add(467298, 75896), 199539), const_1000)", "model_input": [["table_1", "the 2005 of ( in thousands ) is $ 467298 ;"], ["table_2", "the 2006 of ( in thousands ) is $ 75896 ;"], ["table_3", "the 2007 of ( in thousands ) is $ 199539 ;"]]}, "answers": ["742.7"]}, "rejected_source": {"id": "ETR/2016/page_144.pdf-4", "qa": {"question": "what amount of long-term debt is due in the next 36 months for entergy corporation as of december 31 , 2016 , in millions?", "answer": "1860.4", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "307403", "arg2": "828084", "res": "1135487"}, {"op": "add2-2", "arg1": "#0", "arg2": "724899", "res": "1860386"}, {"op": "divide2-3", "arg1": "#1", "arg2": "const_1000", "res": "1860.4"}], "program": "add(307403, 828084), add(#0, 724899), divide(#1, const_1000)", "gold_inds": {"table_1": "the 2017 of amount ( in thousands ) is $ 307403 ;", "table_2": "the 2018 of amount ( in thousands ) is $ 828084 ;", "table_3": "the 2019 of amount ( in thousands ) is $ 724899 ;"}, "exe_ans": 1860.386, "tfidftopn": {}, "program_re": "divide(add(add(307403, 828084), 724899), const_1000)", "model_input": [["table_1", "the 2017 of amount ( in thousands ) is $ 307403 ;"], ["table_2", "the 2018 of amount ( in thousands ) is $ 828084 ;"], ["table_3", "the 2019 of amount ( in thousands ) is $ 724899 ;"]]}, "answers": ["1860.4"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001245", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in cash flows provided by operating activities between 2017 and 2016?\nReference time interval: 2017-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-3%.", "rejected": "-9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what is the percent change in cash flows provided by operating activities <TIME>?", "doc_prefix": "ZBH", "base_question": "what is the percent change in cash flows provided by operating activities <TIME>?", "original_question": "what is the percent change in cash flows provided by operating activities between 2017 and 2016?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2017 and 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3%": [{"start": "2017-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2017 and 2016"}], "-9%": [{"start": "2018-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2018 and 2017"}]}, "chosen_source": {"id": "ZBH/2018/page_34.pdf-4", "qa": {"question": "what is the percent change in cash flows provided by operating activities between 2017 and 2016?", "answer": "-3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1582.3", "arg2": "1632.2", "res": "-49.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1632.2", "res": "-0.03"}], "program": "subtract(1582.3, 1632.2), divide(#0, 1632.2)", "gold_inds": {"text_20": "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."}, "exe_ans": -0.03057, "tfidftopn": {"text_33": "cash flows used in financing activities were $ 1302.2 million in 2018 .", "text_26": "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(1582.3, 1632.2), 1632.2)", "model_input": [["text_20", "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."], ["text_48", "term loan c and used those proceeds , along with cash on hand , to repay the remaining $ 225.0 million outstanding under u.s ."], ["text_52", "as further discussed in note 11 to our consolidated financial statements , our debt facilities restrict the payment of dividends in certain circumstances. ."]]}, "answers": ["-3%"]}, "rejected_source": {"id": "ZBH/2018/page_34.pdf-1", "qa": {"question": "what is the percent change in cash flows provided by operating activities between 2018 and 2017?", "answer": "-9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1582.3", "arg2": "1747.4", "res": "-165.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1582.3", "res": "-0.09"}], "program": "subtract(1582.3, 1747.4), divide(#0, 1582.3)", "gold_inds": {"text_20": "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."}, "exe_ans": -0.10434, "tfidftopn": {"text_33": "cash flows used in financing activities were $ 1302.2 million in 2018 .", "text_26": "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(1582.3, 1747.4), 1582.3)", "model_input": [["text_1", "2018 form 10-k annual report ( 8 ) we have incurred other various expenses from specific events or projects that we consider highly variable or have a significant impact to our operating results that we have excluded from our non-gaap financial measures ."], ["text_20", "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."], ["text_52", "as further discussed in note 11 to our consolidated financial statements , our debt facilities restrict the payment of dividends in certain circumstances. ."]]}, "answers": ["-9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001246", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in cash flows provided by operating activities between 2018 and 2017?\nReference time interval: 2018-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-9%.", "rejected": "-3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ZBH || what is the percent change in cash flows provided by operating activities <TIME>?", "doc_prefix": "ZBH", "base_question": "what is the percent change in cash flows provided by operating activities <TIME>?", "original_question": "what is the percent change in cash flows provided by operating activities between 2018 and 2017?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2018 and 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3%": [{"start": "2017-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "between 2017 and 2016"}], "-9%": [{"start": "2018-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "between 2018 and 2017"}]}, "chosen_source": {"id": "ZBH/2018/page_34.pdf-1", "qa": {"question": "what is the percent change in cash flows provided by operating activities between 2018 and 2017?", "answer": "-9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1582.3", "arg2": "1747.4", "res": "-165.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1582.3", "res": "-0.09"}], "program": "subtract(1582.3, 1747.4), divide(#0, 1582.3)", "gold_inds": {"text_20": "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."}, "exe_ans": -0.10434, "tfidftopn": {"text_33": "cash flows used in financing activities were $ 1302.2 million in 2018 .", "text_26": "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(1582.3, 1747.4), 1582.3)", "model_input": [["text_1", "2018 form 10-k annual report ( 8 ) we have incurred other various expenses from specific events or projects that we consider highly variable or have a significant impact to our operating results that we have excluded from our non-gaap financial measures ."], ["text_20", "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."], ["text_52", "as further discussed in note 11 to our consolidated financial statements , our debt facilities restrict the payment of dividends in certain circumstances. ."]]}, "answers": ["-9%"]}, "rejected_source": {"id": "ZBH/2018/page_34.pdf-4", "qa": {"question": "what is the percent change in cash flows provided by operating activities between 2017 and 2016?", "answer": "-3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1582.3", "arg2": "1632.2", "res": "-49.9"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1632.2", "res": "-0.03"}], "program": "subtract(1582.3, 1632.2), divide(#0, 1632.2)", "gold_inds": {"text_20": "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."}, "exe_ans": -0.03057, "tfidftopn": {"text_33": "cash flows used in financing activities were $ 1302.2 million in 2018 .", "text_26": "cash flows used in investing activities were $ 416.6 million in 2018 compared to $ 510.8 million and $ 1691.5 million in 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(1582.3, 1632.2), 1632.2)", "model_input": [["text_20", "liquidity and capital resources cash flows provided by operating activities were $ 1747.4 million in 2018 compared to $ 1582.3 million and $ 1632.2 million in 2017 and 2016 , respectively ."], ["text_48", "term loan c and used those proceeds , along with cash on hand , to repay the remaining $ 225.0 million outstanding under u.s ."], ["text_52", "as further discussed in note 11 to our consolidated financial statements , our debt facilities restrict the payment of dividends in certain circumstances. ."]]}, "answers": ["-3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001247", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: fuel surcharge programs represented what share of revenue in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "11.2%.", "rejected": "7.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || fuel surcharge programs represented what share of revenue <TIME>?", "doc_prefix": "UNP", "base_question": "fuel surcharge programs represented what share of revenue <TIME>?", "original_question": "fuel surcharge programs represented what share of revenue in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.1%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "11.2%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "UNP/2011/page_25.pdf-1", "qa": {"question": "fuel surcharge programs represented what share of revenue in 2011?", "answer": "11.2%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [23], "steps": [{"op": "divide1-1", "arg1": "19557", "arg2": "const_1000", "res": "19.557"}, {"op": "divide1-2", "arg1": "2.2", "arg2": "#0", "res": "11.2%"}], "program": "divide(19557, const_1000), divide(2.2, #0)", "gold_inds": {"table_3": "millions the total of 2011 is $ 19557 ; the total of 2010 is $ 16965 ; the total of 2009 is $ 14143 ; the total of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the total of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;", "text_23": "our fuel surcharge programs ( excluding index-based contract escalators that contain some provision for fuel ) generated freight revenues of $ 2.2 billion , $ 1.2 billion , and $ 605 million in 2011 , 2010 , and 2009 , respectively ."}, "exe_ans": 0.11249, "tfidftopn": {"text_26": "additionally , fuel surcharge revenue is not entirely comparable to prior periods as we continue to convert portions of our non-regulated traffic to mileage-based fuel surcharge programs ."}, "program_re": "divide(2.2, divide(19557, const_1000))", "model_input": [["table_1", "millions the freight revenues of 2011 is $ 18508 ; the freight revenues of 2010 is $ 16069 ; the freight revenues of 2009 is $ 13373 ; the freight revenues of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the freight revenues of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;"], ["table_3", "millions the total of 2011 is $ 19557 ; the total of 2010 is $ 16965 ; the total of 2009 is $ 14143 ; the total of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the total of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;"], ["text_23", "our fuel surcharge programs ( excluding index-based contract escalators that contain some provision for fuel ) generated freight revenues of $ 2.2 billion , $ 1.2 billion , and $ 605 million in 2011 , 2010 , and 2009 , respectively ."]]}, "answers": ["11.2%"]}, "rejected_source": {"id": "UNP/2011/page_25.pdf-2", "qa": {"question": "fuel surcharge programs represented what share of revenue in 2010?", "answer": "7.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [23], "steps": [{"op": "divide2-1", "arg1": "16965", "arg2": "const_1000", "res": "16.965"}], "program": "divide(16965, const_1000)", "gold_inds": {"table_1": "millions the freight revenues of 2011 is $ 18508 ; the freight revenues of 2010 is $ 16069 ; the freight revenues of 2009 is $ 13373 ; the freight revenues of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the freight revenues of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;", "text_23": "our fuel surcharge programs ( excluding index-based contract escalators that contain some provision for fuel ) generated freight revenues of $ 2.2 billion , $ 1.2 billion , and $ 605 million in 2011 , 2010 , and 2009 , respectively .", "table_3": "millions the total of 2011 is $ 19557 ; the total of 2010 is $ 16965 ; the total of 2009 is $ 14143 ; the total of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the total of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;"}, "exe_ans": 16.965, "tfidftopn": {}, "program_re": "divide(16965, const_1000)", "model_input": [["table_1", "millions the freight revenues of 2011 is $ 18508 ; the freight revenues of 2010 is $ 16069 ; the freight revenues of 2009 is $ 13373 ; the freight revenues of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the freight revenues of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;"], ["table_3", "millions the total of 2011 is $ 19557 ; the total of 2010 is $ 16965 ; the total of 2009 is $ 14143 ; the total of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the total of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;"], ["text_23", "our fuel surcharge programs ( excluding index-based contract escalators that contain some provision for fuel ) generated freight revenues of $ 2.2 billion , $ 1.2 billion , and $ 605 million in 2011 , 2010 , and 2009 , respectively ."]]}, "answers": ["7.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001248", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: fuel surcharge programs represented what share of revenue in 2010?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "7.1%.", "rejected": "11.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || fuel surcharge programs represented what share of revenue <TIME>?", "doc_prefix": "UNP", "base_question": "fuel surcharge programs represented what share of revenue <TIME>?", "original_question": "fuel surcharge programs represented what share of revenue in 2010?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.1%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}], "11.2%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "UNP/2011/page_25.pdf-2", "qa": {"question": "fuel surcharge programs represented what share of revenue in 2010?", "answer": "7.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [23], "steps": [{"op": "divide2-1", "arg1": "16965", "arg2": "const_1000", "res": "16.965"}], "program": "divide(16965, const_1000)", "gold_inds": {"table_1": "millions the freight revenues of 2011 is $ 18508 ; the freight revenues of 2010 is $ 16069 ; the freight revenues of 2009 is $ 13373 ; the freight revenues of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the freight revenues of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;", "text_23": "our fuel surcharge programs ( excluding index-based contract escalators that contain some provision for fuel ) generated freight revenues of $ 2.2 billion , $ 1.2 billion , and $ 605 million in 2011 , 2010 , and 2009 , respectively .", "table_3": "millions the total of 2011 is $ 19557 ; the total of 2010 is $ 16965 ; the total of 2009 is $ 14143 ; the total of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the total of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;"}, "exe_ans": 16.965, "tfidftopn": {}, "program_re": "divide(16965, const_1000)", "model_input": [["table_1", "millions the freight revenues of 2011 is $ 18508 ; the freight revenues of 2010 is $ 16069 ; the freight revenues of 2009 is $ 13373 ; the freight revenues of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the freight revenues of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;"], ["table_3", "millions the total of 2011 is $ 19557 ; the total of 2010 is $ 16965 ; the total of 2009 is $ 14143 ; the total of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the total of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;"], ["text_23", "our fuel surcharge programs ( excluding index-based contract escalators that contain some provision for fuel ) generated freight revenues of $ 2.2 billion , $ 1.2 billion , and $ 605 million in 2011 , 2010 , and 2009 , respectively ."]]}, "answers": ["7.1%"]}, "rejected_source": {"id": "UNP/2011/page_25.pdf-1", "qa": {"question": "fuel surcharge programs represented what share of revenue in 2011?", "answer": "11.2%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [23], "steps": [{"op": "divide1-1", "arg1": "19557", "arg2": "const_1000", "res": "19.557"}, {"op": "divide1-2", "arg1": "2.2", "arg2": "#0", "res": "11.2%"}], "program": "divide(19557, const_1000), divide(2.2, #0)", "gold_inds": {"table_3": "millions the total of 2011 is $ 19557 ; the total of 2010 is $ 16965 ; the total of 2009 is $ 14143 ; the total of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the total of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;", "text_23": "our fuel surcharge programs ( excluding index-based contract escalators that contain some provision for fuel ) generated freight revenues of $ 2.2 billion , $ 1.2 billion , and $ 605 million in 2011 , 2010 , and 2009 , respectively ."}, "exe_ans": 0.11249, "tfidftopn": {"text_26": "additionally , fuel surcharge revenue is not entirely comparable to prior periods as we continue to convert portions of our non-regulated traffic to mileage-based fuel surcharge programs ."}, "program_re": "divide(2.2, divide(19557, const_1000))", "model_input": [["table_1", "millions the freight revenues of 2011 is $ 18508 ; the freight revenues of 2010 is $ 16069 ; the freight revenues of 2009 is $ 13373 ; the freight revenues of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the freight revenues of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;"], ["table_3", "millions the total of 2011 is $ 19557 ; the total of 2010 is $ 16965 ; the total of 2009 is $ 14143 ; the total of % ( % ) change 2011 v 2010 is 15% ( 15 % ) ; the total of % ( % ) change 2010 v 2009 is 20% ( 20 % ) ;"], ["text_23", "our fuel surcharge programs ( excluding index-based contract escalators that contain some provision for fuel ) generated freight revenues of $ 2.2 billion , $ 1.2 billion , and $ 605 million in 2011 , 2010 , and 2009 , respectively ."]]}, "answers": ["11.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001249", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in cumulative translation adjustment between 2004 and 2006?\nReference time interval: 2004-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "-21.9%.", "rejected": "98.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EMN || what is the percent change in cumulative translation adjustment <TIME>?", "doc_prefix": "EMN", "base_question": "what is the percent change in cumulative translation adjustment <TIME>?", "original_question": "what is the percent change in cumulative translation adjustment between 2004 and 2006?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2004 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-21.9%": [{"start": "2004-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2004 and 2006"}], "98.3%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}]}, "chosen_source": {"id": "EMN/2006/page_108.pdf-1", "qa": {"question": "what is the percent change in cumulative translation adjustment between 2004 and 2006?", "answer": "-21.9%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "121", "arg2": "155", "res": "-34"}, {"op": "divide1-2", "arg1": "#0", "arg2": "155", "res": "-21.9%"}], "program": "subtract(121, 155), divide(#0, 155)", "gold_inds": {"table_1": "( dollars in millions ) the balance at december 31 2004 of cumulative translation adjustment$ is 155 ; the balance at december 31 2004 of unfundedadditionalminimum pension liability$ is -248 ( 248 ) ; the balance at december 31 2004 of unrecognized loss and prior service cost net of taxes$ is -- ; the balance at december 31 2004 of unrealized gains ( losses ) on cash flow hedges$ is -8 ( 8 ) ; the balance at december 31 2004 of unrealized losses on investments$ is -2 ( 2 ) ; the balance at december 31 2004 of accumulated other comprehensive income ( loss ) $ is -103 ( 103 ) ;", "table_7": "( dollars in millions ) the balance at december 31 2006 of cumulative translation adjustment$ is 121 ; the balance at december 31 2006 of unfundedadditionalminimum pension liability$ is -- ; the balance at december 31 2006 of unrecognized loss and prior service cost net of taxes$ is -288 ( 288 ) ; the balance at december 31 2006 of unrealized gains ( losses ) on cash flow hedges$ is -6 ( 6 ) ; the balance at december 31 2006 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2006 of accumulated other comprehensive income ( loss ) $ is -174 ( 174 ) ;"}, "exe_ans": -0.21935, "tfidftopn": {"text_3": "158 -- 207 ( 288 ) -- -- ( 81 ) balance at december 31 , 2006 121 -- ( 288 ) ( 6 ) ( 1 ) ( 174 ) except for cumulative translation adjustment , amounts of other comprehensive income ( loss ) are presented net of applicable taxes ."}, "program_re": "divide(subtract(121, 155), 155)", "model_input": [["table_1", "( dollars in millions ) the balance at december 31 2004 of cumulative translation adjustment$ is 155 ; the balance at december 31 2004 of unfundedadditionalminimum pension liability$ is -248 ( 248 ) ; the balance at december 31 2004 of unrecognized loss and prior service cost net of taxes$ is -- ; the balance at december 31 2004 of unrealized gains ( losses ) on cash flow hedges$ is -8 ( 8 ) ; the balance at december 31 2004 of unrealized losses on investments$ is -2 ( 2 ) ; the balance at december 31 2004 of accumulated other comprehensive income ( loss ) $ is -103 ( 103 ) ;"], ["table_7", "( dollars in millions ) the balance at december 31 2006 of cumulative translation adjustment$ is 121 ; the balance at december 31 2006 of unfundedadditionalminimum pension liability$ is -- ; the balance at december 31 2006 of unrecognized loss and prior service cost net of taxes$ is -288 ( 288 ) ; the balance at december 31 2006 of unrealized gains ( losses ) on cash flow hedges$ is -6 ( 6 ) ; the balance at december 31 2006 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2006 of accumulated other comprehensive income ( loss ) $ is -174 ( 174 ) ;"]]}, "answers": ["-21.9%"]}, "rejected_source": {"id": "EMN/2006/page_108.pdf-2", "qa": {"question": "what is the percent change in cumulative translation adjustment between 2005 and 2006?", "answer": "98.3%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "121", "arg2": "61", "res": "60"}, {"op": "divide2-2", "arg1": "#0", "arg2": "61", "res": "98.3%"}], "program": "subtract(121, 61), divide(#0, 61)", "gold_inds": {"table_3": "( dollars in millions ) the balance at december 31 2005 of cumulative translation adjustment$ is 61 ; the balance at december 31 2005 of unfundedadditionalminimum pension liability$ is -255 ( 255 ) ; the balance at december 31 2005 of unrecognized loss and prior service cost net of taxes$ is -- ; the balance at december 31 2005 of unrealized gains ( losses ) on cash flow hedges$ is -5 ( 5 ) ; the balance at december 31 2005 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2005 of accumulated other comprehensive income ( loss ) $ is -200 ( 200 ) ;", "table_7": "( dollars in millions ) the balance at december 31 2006 of cumulative translation adjustment$ is 121 ; the balance at december 31 2006 of unfundedadditionalminimum pension liability$ is -- ; the balance at december 31 2006 of unrecognized loss and prior service cost net of taxes$ is -288 ( 288 ) ; the balance at december 31 2006 of unrealized gains ( losses ) on cash flow hedges$ is -6 ( 6 ) ; the balance at december 31 2006 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2006 of accumulated other comprehensive income ( loss ) $ is -174 ( 174 ) ;"}, "exe_ans": 0.98361, "tfidftopn": {"text_3": "158 -- 207 ( 288 ) -- -- ( 81 ) balance at december 31 , 2006 121 -- ( 288 ) ( 6 ) ( 1 ) ( 174 ) except for cumulative translation adjustment , amounts of other comprehensive income ( loss ) are presented net of applicable taxes ."}, "program_re": "divide(subtract(121, 61), 61)", "model_input": [["table_3", "( dollars in millions ) the balance at december 31 2005 of cumulative translation adjustment$ is 61 ; the balance at december 31 2005 of unfundedadditionalminimum pension liability$ is -255 ( 255 ) ; the balance at december 31 2005 of unrecognized loss and prior service cost net of taxes$ is -- ; the balance at december 31 2005 of unrealized gains ( losses ) on cash flow hedges$ is -5 ( 5 ) ; the balance at december 31 2005 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2005 of accumulated other comprehensive income ( loss ) $ is -200 ( 200 ) ;"], ["table_7", "( dollars in millions ) the balance at december 31 2006 of cumulative translation adjustment$ is 121 ; the balance at december 31 2006 of unfundedadditionalminimum pension liability$ is -- ; the balance at december 31 2006 of unrecognized loss and prior service cost net of taxes$ is -288 ( 288 ) ; the balance at december 31 2006 of unrealized gains ( losses ) on cash flow hedges$ is -6 ( 6 ) ; the balance at december 31 2006 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2006 of accumulated other comprehensive income ( loss ) $ is -174 ( 174 ) ;"]]}, "answers": ["98.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001250", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in cumulative translation adjustment between 2005 and 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "98.3%.", "rejected": "-21.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "EMN || what is the percent change in cumulative translation adjustment <TIME>?", "doc_prefix": "EMN", "base_question": "what is the percent change in cumulative translation adjustment <TIME>?", "original_question": "what is the percent change in cumulative translation adjustment between 2005 and 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-21.9%": [{"start": "2004-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2004 and 2006"}], "98.3%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}]}, "chosen_source": {"id": "EMN/2006/page_108.pdf-2", "qa": {"question": "what is the percent change in cumulative translation adjustment between 2005 and 2006?", "answer": "98.3%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "121", "arg2": "61", "res": "60"}, {"op": "divide2-2", "arg1": "#0", "arg2": "61", "res": "98.3%"}], "program": "subtract(121, 61), divide(#0, 61)", "gold_inds": {"table_3": "( dollars in millions ) the balance at december 31 2005 of cumulative translation adjustment$ is 61 ; the balance at december 31 2005 of unfundedadditionalminimum pension liability$ is -255 ( 255 ) ; the balance at december 31 2005 of unrecognized loss and prior service cost net of taxes$ is -- ; the balance at december 31 2005 of unrealized gains ( losses ) on cash flow hedges$ is -5 ( 5 ) ; the balance at december 31 2005 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2005 of accumulated other comprehensive income ( loss ) $ is -200 ( 200 ) ;", "table_7": "( dollars in millions ) the balance at december 31 2006 of cumulative translation adjustment$ is 121 ; the balance at december 31 2006 of unfundedadditionalminimum pension liability$ is -- ; the balance at december 31 2006 of unrecognized loss and prior service cost net of taxes$ is -288 ( 288 ) ; the balance at december 31 2006 of unrealized gains ( losses ) on cash flow hedges$ is -6 ( 6 ) ; the balance at december 31 2006 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2006 of accumulated other comprehensive income ( loss ) $ is -174 ( 174 ) ;"}, "exe_ans": 0.98361, "tfidftopn": {"text_3": "158 -- 207 ( 288 ) -- -- ( 81 ) balance at december 31 , 2006 121 -- ( 288 ) ( 6 ) ( 1 ) ( 174 ) except for cumulative translation adjustment , amounts of other comprehensive income ( loss ) are presented net of applicable taxes ."}, "program_re": "divide(subtract(121, 61), 61)", "model_input": [["table_3", "( dollars in millions ) the balance at december 31 2005 of cumulative translation adjustment$ is 61 ; the balance at december 31 2005 of unfundedadditionalminimum pension liability$ is -255 ( 255 ) ; the balance at december 31 2005 of unrecognized loss and prior service cost net of taxes$ is -- ; the balance at december 31 2005 of unrealized gains ( losses ) on cash flow hedges$ is -5 ( 5 ) ; the balance at december 31 2005 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2005 of accumulated other comprehensive income ( loss ) $ is -200 ( 200 ) ;"], ["table_7", "( dollars in millions ) the balance at december 31 2006 of cumulative translation adjustment$ is 121 ; the balance at december 31 2006 of unfundedadditionalminimum pension liability$ is -- ; the balance at december 31 2006 of unrecognized loss and prior service cost net of taxes$ is -288 ( 288 ) ; the balance at december 31 2006 of unrealized gains ( losses ) on cash flow hedges$ is -6 ( 6 ) ; the balance at december 31 2006 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2006 of accumulated other comprehensive income ( loss ) $ is -174 ( 174 ) ;"]]}, "answers": ["98.3%"]}, "rejected_source": {"id": "EMN/2006/page_108.pdf-1", "qa": {"question": "what is the percent change in cumulative translation adjustment between 2004 and 2006?", "answer": "-21.9%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "121", "arg2": "155", "res": "-34"}, {"op": "divide1-2", "arg1": "#0", "arg2": "155", "res": "-21.9%"}], "program": "subtract(121, 155), divide(#0, 155)", "gold_inds": {"table_1": "( dollars in millions ) the balance at december 31 2004 of cumulative translation adjustment$ is 155 ; the balance at december 31 2004 of unfundedadditionalminimum pension liability$ is -248 ( 248 ) ; the balance at december 31 2004 of unrecognized loss and prior service cost net of taxes$ is -- ; the balance at december 31 2004 of unrealized gains ( losses ) on cash flow hedges$ is -8 ( 8 ) ; the balance at december 31 2004 of unrealized losses on investments$ is -2 ( 2 ) ; the balance at december 31 2004 of accumulated other comprehensive income ( loss ) $ is -103 ( 103 ) ;", "table_7": "( dollars in millions ) the balance at december 31 2006 of cumulative translation adjustment$ is 121 ; the balance at december 31 2006 of unfundedadditionalminimum pension liability$ is -- ; the balance at december 31 2006 of unrecognized loss and prior service cost net of taxes$ is -288 ( 288 ) ; the balance at december 31 2006 of unrealized gains ( losses ) on cash flow hedges$ is -6 ( 6 ) ; the balance at december 31 2006 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2006 of accumulated other comprehensive income ( loss ) $ is -174 ( 174 ) ;"}, "exe_ans": -0.21935, "tfidftopn": {"text_3": "158 -- 207 ( 288 ) -- -- ( 81 ) balance at december 31 , 2006 121 -- ( 288 ) ( 6 ) ( 1 ) ( 174 ) except for cumulative translation adjustment , amounts of other comprehensive income ( loss ) are presented net of applicable taxes ."}, "program_re": "divide(subtract(121, 155), 155)", "model_input": [["table_1", "( dollars in millions ) the balance at december 31 2004 of cumulative translation adjustment$ is 155 ; the balance at december 31 2004 of unfundedadditionalminimum pension liability$ is -248 ( 248 ) ; the balance at december 31 2004 of unrecognized loss and prior service cost net of taxes$ is -- ; the balance at december 31 2004 of unrealized gains ( losses ) on cash flow hedges$ is -8 ( 8 ) ; the balance at december 31 2004 of unrealized losses on investments$ is -2 ( 2 ) ; the balance at december 31 2004 of accumulated other comprehensive income ( loss ) $ is -103 ( 103 ) ;"], ["table_7", "( dollars in millions ) the balance at december 31 2006 of cumulative translation adjustment$ is 121 ; the balance at december 31 2006 of unfundedadditionalminimum pension liability$ is -- ; the balance at december 31 2006 of unrecognized loss and prior service cost net of taxes$ is -288 ( 288 ) ; the balance at december 31 2006 of unrealized gains ( losses ) on cash flow hedges$ is -6 ( 6 ) ; the balance at december 31 2006 of unrealized losses on investments$ is -1 ( 1 ) ; the balance at december 31 2006 of accumulated other comprehensive income ( loss ) $ is -174 ( 174 ) ;"]]}, "answers": ["-21.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001251", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in weighted average fair values of the company 2019s options granted from 2003 to 2004?\nReference time interval: 2003-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "11.6%.", "rejected": "183.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in weighted average fair values of the company 2019s options granted <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in weighted average fair values of the company 2019s options granted <TIME>?", "original_question": "what is the growth rate in weighted average fair values of the company 2019s options granted from 2003 to 2004?", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"183.4%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "11.6%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}]}, "chosen_source": {"id": "AMT/2004/page_102.pdf-1", "qa": {"question": "what is the growth rate in weighted average fair values of the company 2019s options granted from 2003 to 2004?", "answer": "11.6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "7.05", "arg2": "6.32", "res": "0.73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6.32", "res": "11.6%"}], "program": "subtract(7.05, 6.32), divide(#0, 6.32)", "gold_inds": {"text_4": "the weighted average fair values of the company 2019s options granted during 2004 , 2003 and 2002 were $ 7.05 , $ 6.32 , and $ 2.23 per share , respectively ."}, "exe_ans": 0.11551, "tfidftopn": {"text_22": "no options under the atc mexico plan were granted in 2004 or 2003 , or exercised or cancelled in 2003 or 2002 , and no options were exercisable as of december 31 , 2003 or 2002 .", "table_1": "The approximate risk-free interest rate of 2004 is 4.23% ( 4.23 % ) ; The approximate risk-free interest rate of 2003 is 4.00% ( 4.00 % ) ; The approximate risk-free interest rate of 2002 is 4.53% ( 4.53 % ) ;"}, "program_re": "divide(subtract(7.05, 6.32), 6.32)", "model_input": [["text_4", "the weighted average fair values of the company 2019s options granted during 2004 , 2003 and 2002 were $ 7.05 , $ 6.32 , and $ 2.23 per share , respectively ."], ["text_8", "the program , which was offered to both full and part-time employees , excluding the company 2019s executive officers and its directors , called for the grant ( at least six months and one day from the surrender date to employees still employed on that date ) of new options exercisable for two shares of class a common stock for every three shares of class a common stock issuable upon exercise of a surrendered option ."], ["text_12", "the program , which was offered to both full and part-time employees , excluding most of the company 2019s executive officers , called for the grant ( at least six months and one day from the surrender date to employees still employed on that date ) of new options exercisable for two shares of class a common stock for every three shares of class a common stock issuable upon exercise of a surrendered option ."]]}, "answers": ["11.6%"]}, "rejected_source": {"id": "AMT/2004/page_102.pdf-4", "qa": {"question": "what is the growth rate in weighted average fair values of the company 2019s options granted from 2002 to 2003?", "answer": "183.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [4], "steps": [{"op": "minus2-1", "arg1": "6.32", "arg2": "2.23", "res": "4.09"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2.23", "res": "183.4%"}], "program": "subtract(6.32, 2.23), divide(#0, 2.23)", "gold_inds": {"text_4": "the weighted average fair values of the company 2019s options granted during 2004 , 2003 and 2002 were $ 7.05 , $ 6.32 , and $ 2.23 per share , respectively ."}, "exe_ans": 1.83408, "tfidftopn": {"text_22": "no options under the atc mexico plan were granted in 2004 or 2003 , or exercised or cancelled in 2003 or 2002 , and no options were exercisable as of december 31 , 2003 or 2002 .", "table_1": "The approximate risk-free interest rate of 2004 is 4.23% ( 4.23 % ) ; The approximate risk-free interest rate of 2003 is 4.00% ( 4.00 % ) ; The approximate risk-free interest rate of 2002 is 4.53% ( 4.53 % ) ;"}, "program_re": "divide(subtract(6.32, 2.23), 2.23)", "model_input": [["text_4", "the weighted average fair values of the company 2019s options granted during 2004 , 2003 and 2002 were $ 7.05 , $ 6.32 , and $ 2.23 per share , respectively ."], ["text_12", "the program , which was offered to both full and part-time employees , excluding most of the company 2019s executive officers , called for the grant ( at least six months and one day from the surrender date to employees still employed on that date ) of new options exercisable for two shares of class a common stock for every three shares of class a common stock issuable upon exercise of a surrendered option ."], ["text_20", "the fair value of atc mexico plan options granted during 2002 were $ 3611 per share as determined by using the black-scholes option pricing model ."]]}, "answers": ["183.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001252", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in weighted average fair values of the company 2019s options granted from 2002 to 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "183.4%.", "rejected": "11.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what is the growth rate in weighted average fair values of the company 2019s options granted <TIME>?", "doc_prefix": "AMT", "base_question": "what is the growth rate in weighted average fair values of the company 2019s options granted <TIME>?", "original_question": "what is the growth rate in weighted average fair values of the company 2019s options granted from 2002 to 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"183.4%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "from 2002 to 2003"}], "11.6%": [{"start": "2003-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "from 2003 to 2004"}]}, "chosen_source": {"id": "AMT/2004/page_102.pdf-4", "qa": {"question": "what is the growth rate in weighted average fair values of the company 2019s options granted from 2002 to 2003?", "answer": "183.4%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [4], "steps": [{"op": "minus2-1", "arg1": "6.32", "arg2": "2.23", "res": "4.09"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2.23", "res": "183.4%"}], "program": "subtract(6.32, 2.23), divide(#0, 2.23)", "gold_inds": {"text_4": "the weighted average fair values of the company 2019s options granted during 2004 , 2003 and 2002 were $ 7.05 , $ 6.32 , and $ 2.23 per share , respectively ."}, "exe_ans": 1.83408, "tfidftopn": {"text_22": "no options under the atc mexico plan were granted in 2004 or 2003 , or exercised or cancelled in 2003 or 2002 , and no options were exercisable as of december 31 , 2003 or 2002 .", "table_1": "The approximate risk-free interest rate of 2004 is 4.23% ( 4.23 % ) ; The approximate risk-free interest rate of 2003 is 4.00% ( 4.00 % ) ; The approximate risk-free interest rate of 2002 is 4.53% ( 4.53 % ) ;"}, "program_re": "divide(subtract(6.32, 2.23), 2.23)", "model_input": [["text_4", "the weighted average fair values of the company 2019s options granted during 2004 , 2003 and 2002 were $ 7.05 , $ 6.32 , and $ 2.23 per share , respectively ."], ["text_12", "the program , which was offered to both full and part-time employees , excluding most of the company 2019s executive officers , called for the grant ( at least six months and one day from the surrender date to employees still employed on that date ) of new options exercisable for two shares of class a common stock for every three shares of class a common stock issuable upon exercise of a surrendered option ."], ["text_20", "the fair value of atc mexico plan options granted during 2002 were $ 3611 per share as determined by using the black-scholes option pricing model ."]]}, "answers": ["183.4%"]}, "rejected_source": {"id": "AMT/2004/page_102.pdf-1", "qa": {"question": "what is the growth rate in weighted average fair values of the company 2019s options granted from 2003 to 2004?", "answer": "11.6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [4], "steps": [{"op": "minus1-1", "arg1": "7.05", "arg2": "6.32", "res": "0.73"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6.32", "res": "11.6%"}], "program": "subtract(7.05, 6.32), divide(#0, 6.32)", "gold_inds": {"text_4": "the weighted average fair values of the company 2019s options granted during 2004 , 2003 and 2002 were $ 7.05 , $ 6.32 , and $ 2.23 per share , respectively ."}, "exe_ans": 0.11551, "tfidftopn": {"text_22": "no options under the atc mexico plan were granted in 2004 or 2003 , or exercised or cancelled in 2003 or 2002 , and no options were exercisable as of december 31 , 2003 or 2002 .", "table_1": "The approximate risk-free interest rate of 2004 is 4.23% ( 4.23 % ) ; The approximate risk-free interest rate of 2003 is 4.00% ( 4.00 % ) ; The approximate risk-free interest rate of 2002 is 4.53% ( 4.53 % ) ;"}, "program_re": "divide(subtract(7.05, 6.32), 6.32)", "model_input": [["text_4", "the weighted average fair values of the company 2019s options granted during 2004 , 2003 and 2002 were $ 7.05 , $ 6.32 , and $ 2.23 per share , respectively ."], ["text_8", "the program , which was offered to both full and part-time employees , excluding the company 2019s executive officers and its directors , called for the grant ( at least six months and one day from the surrender date to employees still employed on that date ) of new options exercisable for two shares of class a common stock for every three shares of class a common stock issuable upon exercise of a surrendered option ."], ["text_12", "the program , which was offered to both full and part-time employees , excluding most of the company 2019s executive officers , called for the grant ( at least six months and one day from the surrender date to employees still employed on that date ) of new options exercisable for two shares of class a common stock for every three shares of class a common stock issuable upon exercise of a surrendered option ."]]}, "answers": ["11.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001253", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total contractual obligations due in 2009 are comprised of long-term debt obligations?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "68%.", "rejected": "94%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total contractual obligations due <TIME> are comprised of long-term debt obligations?", "doc_prefix": "C", "base_question": "what percentage of total contractual obligations due <TIME> are comprised of long-term debt obligations?", "original_question": "what percentage of total contractual obligations due in 2009 are comprised of long-term debt obligations?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"68%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "94%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "C/2008/page_111.pdf-3", "qa": {"question": "what percentage of total contractual obligations due in 2009 are comprised of long-term debt obligations?", "answer": "68%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "88472", "arg2": "130377", "res": "68%"}], "program": "divide(88472, 130377)", "gold_inds": {"table_1": "in millions of dollars at year end the long-term debt obligations ( 1 ) of contractual obligations by year 2009 is $ 88472 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2010 is $ 41431 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2011 is $ 42112 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2012 is $ 27999 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2013 is $ 25955 ; the long-term debt obligations ( 1 ) of contractual obligations by year thereafter is $ 133624 ;", "table_5": "in millions of dollars at year end the total of contractual obligations by year 2009 is $ 130377 ; the total of contractual obligations by year 2010 is $ 44301 ; the total of contractual obligations by year 2011 is $ 43981 ; the total of contractual obligations by year 2012 is $ 29489 ; the total of contractual obligations by year 2013 is $ 27310 ; the total of contractual obligations by year thereafter is $ 141548 ;"}, "exe_ans": 0.67859, "tfidftopn": {"text_2": "it includes the maturity profile of the company 2019s consolidated long-term debt , operating leases and other long-term liabilities ."}, "program_re": "divide(88472, 130377)", "model_input": [["text_14", "accordingly , no amounts have been included in the table below for future contributions to the u.s ."], ["table_1", "in millions of dollars at year end the long-term debt obligations ( 1 ) of contractual obligations by year 2009 is $ 88472 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2010 is $ 41431 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2011 is $ 42112 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2012 is $ 27999 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2013 is $ 25955 ; the long-term debt obligations ( 1 ) of contractual obligations by year thereafter is $ 133624 ;"], ["table_5", "in millions of dollars at year end the total of contractual obligations by year 2009 is $ 130377 ; the total of contractual obligations by year 2010 is $ 44301 ; the total of contractual obligations by year 2011 is $ 43981 ; the total of contractual obligations by year 2012 is $ 29489 ; the total of contractual obligations by year 2013 is $ 27310 ; the total of contractual obligations by year thereafter is $ 141548 ;"]]}, "answers": ["68%"]}, "rejected_source": {"id": "C/2008/page_111.pdf-2", "qa": {"question": "what percentage of total contractual obligations due in 2010 are comprised of long-term debt obligations?", "answer": "94%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "41431", "arg2": "44301", "res": "94%"}], "program": "divide(41431, 44301)", "gold_inds": {"table_1": "in millions of dollars at year end the long-term debt obligations ( 1 ) of contractual obligations by year 2009 is $ 88472 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2010 is $ 41431 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2011 is $ 42112 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2012 is $ 27999 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2013 is $ 25955 ; the long-term debt obligations ( 1 ) of contractual obligations by year thereafter is $ 133624 ;", "table_5": "in millions of dollars at year end the total of contractual obligations by year 2009 is $ 130377 ; the total of contractual obligations by year 2010 is $ 44301 ; the total of contractual obligations by year 2011 is $ 43981 ; the total of contractual obligations by year 2012 is $ 29489 ; the total of contractual obligations by year 2013 is $ 27310 ; the total of contractual obligations by year thereafter is $ 141548 ;"}, "exe_ans": 0.93522, "tfidftopn": {"text_2": "it includes the maturity profile of the company 2019s consolidated long-term debt , operating leases and other long-term liabilities ."}, "program_re": "divide(41431, 44301)", "model_input": [["text_14", "accordingly , no amounts have been included in the table below for future contributions to the u.s ."], ["table_1", "in millions of dollars at year end the long-term debt obligations ( 1 ) of contractual obligations by year 2009 is $ 88472 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2010 is $ 41431 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2011 is $ 42112 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2012 is $ 27999 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2013 is $ 25955 ; the long-term debt obligations ( 1 ) of contractual obligations by year thereafter is $ 133624 ;"], ["table_5", "in millions of dollars at year end the total of contractual obligations by year 2009 is $ 130377 ; the total of contractual obligations by year 2010 is $ 44301 ; the total of contractual obligations by year 2011 is $ 43981 ; the total of contractual obligations by year 2012 is $ 29489 ; the total of contractual obligations by year 2013 is $ 27310 ; the total of contractual obligations by year thereafter is $ 141548 ;"]]}, "answers": ["94%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001254", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total contractual obligations due in 2010 are comprised of long-term debt obligations?\nReference time interval: 2010-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "94%.", "rejected": "68%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percentage of total contractual obligations due <TIME> are comprised of long-term debt obligations?", "doc_prefix": "C", "base_question": "what percentage of total contractual obligations due <TIME> are comprised of long-term debt obligations?", "original_question": "what percentage of total contractual obligations due in 2010 are comprised of long-term debt obligations?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"68%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}], "94%": [{"start": "2010-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "2010"}]}, "chosen_source": {"id": "C/2008/page_111.pdf-2", "qa": {"question": "what percentage of total contractual obligations due in 2010 are comprised of long-term debt obligations?", "answer": "94%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "41431", "arg2": "44301", "res": "94%"}], "program": "divide(41431, 44301)", "gold_inds": {"table_1": "in millions of dollars at year end the long-term debt obligations ( 1 ) of contractual obligations by year 2009 is $ 88472 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2010 is $ 41431 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2011 is $ 42112 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2012 is $ 27999 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2013 is $ 25955 ; the long-term debt obligations ( 1 ) of contractual obligations by year thereafter is $ 133624 ;", "table_5": "in millions of dollars at year end the total of contractual obligations by year 2009 is $ 130377 ; the total of contractual obligations by year 2010 is $ 44301 ; the total of contractual obligations by year 2011 is $ 43981 ; the total of contractual obligations by year 2012 is $ 29489 ; the total of contractual obligations by year 2013 is $ 27310 ; the total of contractual obligations by year thereafter is $ 141548 ;"}, "exe_ans": 0.93522, "tfidftopn": {"text_2": "it includes the maturity profile of the company 2019s consolidated long-term debt , operating leases and other long-term liabilities ."}, "program_re": "divide(41431, 44301)", "model_input": [["text_14", "accordingly , no amounts have been included in the table below for future contributions to the u.s ."], ["table_1", "in millions of dollars at year end the long-term debt obligations ( 1 ) of contractual obligations by year 2009 is $ 88472 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2010 is $ 41431 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2011 is $ 42112 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2012 is $ 27999 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2013 is $ 25955 ; the long-term debt obligations ( 1 ) of contractual obligations by year thereafter is $ 133624 ;"], ["table_5", "in millions of dollars at year end the total of contractual obligations by year 2009 is $ 130377 ; the total of contractual obligations by year 2010 is $ 44301 ; the total of contractual obligations by year 2011 is $ 43981 ; the total of contractual obligations by year 2012 is $ 29489 ; the total of contractual obligations by year 2013 is $ 27310 ; the total of contractual obligations by year thereafter is $ 141548 ;"]]}, "answers": ["94%"]}, "rejected_source": {"id": "C/2008/page_111.pdf-3", "qa": {"question": "what percentage of total contractual obligations due in 2009 are comprised of long-term debt obligations?", "answer": "68%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "88472", "arg2": "130377", "res": "68%"}], "program": "divide(88472, 130377)", "gold_inds": {"table_1": "in millions of dollars at year end the long-term debt obligations ( 1 ) of contractual obligations by year 2009 is $ 88472 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2010 is $ 41431 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2011 is $ 42112 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2012 is $ 27999 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2013 is $ 25955 ; the long-term debt obligations ( 1 ) of contractual obligations by year thereafter is $ 133624 ;", "table_5": "in millions of dollars at year end the total of contractual obligations by year 2009 is $ 130377 ; the total of contractual obligations by year 2010 is $ 44301 ; the total of contractual obligations by year 2011 is $ 43981 ; the total of contractual obligations by year 2012 is $ 29489 ; the total of contractual obligations by year 2013 is $ 27310 ; the total of contractual obligations by year thereafter is $ 141548 ;"}, "exe_ans": 0.67859, "tfidftopn": {"text_2": "it includes the maturity profile of the company 2019s consolidated long-term debt , operating leases and other long-term liabilities ."}, "program_re": "divide(88472, 130377)", "model_input": [["text_14", "accordingly , no amounts have been included in the table below for future contributions to the u.s ."], ["table_1", "in millions of dollars at year end the long-term debt obligations ( 1 ) of contractual obligations by year 2009 is $ 88472 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2010 is $ 41431 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2011 is $ 42112 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2012 is $ 27999 ; the long-term debt obligations ( 1 ) of contractual obligations by year 2013 is $ 25955 ; the long-term debt obligations ( 1 ) of contractual obligations by year thereafter is $ 133624 ;"], ["table_5", "in millions of dollars at year end the total of contractual obligations by year 2009 is $ 130377 ; the total of contractual obligations by year 2010 is $ 44301 ; the total of contractual obligations by year 2011 is $ 43981 ; the total of contractual obligations by year 2012 is $ 29489 ; the total of contractual obligations by year 2013 is $ 27310 ; the total of contractual obligations by year thereafter is $ 141548 ;"]]}, "answers": ["68%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001255", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating income margin for 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "10%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the operating income margin <TIME>?", "doc_prefix": "PKG", "base_question": "what was the operating income margin <TIME>?", "original_question": "what was the operating income margin for 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "10%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "PKG/2006/page_27.pdf-3", "qa": {"question": "what was the operating income margin for 2006?", "answer": "10%", "explanation": "operating margin comparison point to increasing or decreasing efficiency .", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "225.9", "arg2": "2187.1", "res": "10%"}], "program": "divide(225.9, 2187.1)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2006 is $ 2187.1 ; the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of change is $ 193.4 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2006 is $ 225.9 ; the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of change is $ 109.8 ;"}, "exe_ans": 0.10329, "tfidftopn": {"table_6": "( in millions ) The net income of for the year ended december 31 , 2006 is $ 125.0 ; The net income of for the year ended december 31 , 2005 is $ 52.6 ; The net income of change is $ 72.4 ;"}, "program_re": "divide(225.9, 2187.1)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2006 is $ 2187.1 ; the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of change is $ 193.4 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2006 is $ 225.9 ; the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of change is $ 109.8 ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2006 is 194.7 ; the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of change is 106.7 ;"]]}, "answers": ["10%"]}, "rejected_source": {"id": "PKG/2006/page_27.pdf-1", "qa": {"question": "what was the operating income margin for 2005?", "answer": "6%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "116.1", "arg2": "1993.7", "res": "6%"}], "program": "divide(116.1, 1993.7)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2006 is $ 2187.1 ; the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of change is $ 193.4 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2006 is $ 225.9 ; the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of change is $ 109.8 ;"}, "exe_ans": 0.05823, "tfidftopn": {"table_6": "( in millions ) The net income of for the year ended december 31 , 2006 is $ 125.0 ; The net income of for the year ended december 31 , 2005 is $ 52.6 ; The net income of change is $ 72.4 ;"}, "program_re": "divide(116.1, 1993.7)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2006 is $ 2187.1 ; the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of change is $ 193.4 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2006 is $ 225.9 ; the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of change is $ 109.8 ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2006 is 194.7 ; the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of change is 106.7 ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001256", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating income margin for 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "6%.", "rejected": "10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PKG || what was the operating income margin <TIME>?", "doc_prefix": "PKG", "base_question": "what was the operating income margin <TIME>?", "original_question": "what was the operating income margin for 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "10%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "PKG/2006/page_27.pdf-1", "qa": {"question": "what was the operating income margin for 2005?", "answer": "6%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "116.1", "arg2": "1993.7", "res": "6%"}], "program": "divide(116.1, 1993.7)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2006 is $ 2187.1 ; the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of change is $ 193.4 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2006 is $ 225.9 ; the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of change is $ 109.8 ;"}, "exe_ans": 0.05823, "tfidftopn": {"table_6": "( in millions ) The net income of for the year ended december 31 , 2006 is $ 125.0 ; The net income of for the year ended december 31 , 2005 is $ 52.6 ; The net income of change is $ 72.4 ;"}, "program_re": "divide(116.1, 1993.7)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2006 is $ 2187.1 ; the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of change is $ 193.4 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2006 is $ 225.9 ; the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of change is $ 109.8 ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2006 is 194.7 ; the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of change is 106.7 ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "PKG/2006/page_27.pdf-3", "qa": {"question": "what was the operating income margin for 2006?", "answer": "10%", "explanation": "operating margin comparison point to increasing or decreasing efficiency .", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "225.9", "arg2": "2187.1", "res": "10%"}], "program": "divide(225.9, 2187.1)", "gold_inds": {"table_1": "( in millions ) the net sales of for the year ended december 31 , 2006 is $ 2187.1 ; the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of change is $ 193.4 ;", "table_2": "( in millions ) the income from operations of for the year ended december 31 , 2006 is $ 225.9 ; the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of change is $ 109.8 ;"}, "exe_ans": 0.10329, "tfidftopn": {"table_6": "( in millions ) The net income of for the year ended december 31 , 2006 is $ 125.0 ; The net income of for the year ended december 31 , 2005 is $ 52.6 ; The net income of change is $ 72.4 ;"}, "program_re": "divide(225.9, 2187.1)", "model_input": [["table_1", "( in millions ) the net sales of for the year ended december 31 , 2006 is $ 2187.1 ; the net sales of for the year ended december 31 , 2005 is $ 1993.7 ; the net sales of change is $ 193.4 ;"], ["table_2", "( in millions ) the income from operations of for the year ended december 31 , 2006 is $ 225.9 ; the income from operations of for the year ended december 31 , 2005 is $ 116.1 ; the income from operations of change is $ 109.8 ;"], ["table_4", "( in millions ) the income before taxes of for the year ended december 31 , 2006 is 194.7 ; the income before taxes of for the year ended december 31 , 2005 is 88.0 ; the income before taxes of change is 106.7 ;"]]}, "answers": ["10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001257", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: was percentage of consumer packaging sales was due to foodservice net sales in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "17%.", "rejected": "18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || was percentage of consumer packaging sales was due to foodservice net sales <TIME>?", "doc_prefix": "IP", "base_question": "was percentage of consumer packaging sales was due to foodservice net sales <TIME>?", "original_question": "was percentage of consumer packaging sales was due to foodservice net sales in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "17%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "IP/2005/page_29.pdf-1", "qa": {"question": "was percentage of consumer packaging sales was due to foodservice net sales in 2005?", "answer": "17%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [16], "steps": [{"op": "divide1-1", "arg1": "437", "arg2": "2590", "res": "17%"}], "program": "divide(437, 2590)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;", "text_16": "foodservice net sales were $ 437 million in 2005 compared with $ 480 million in 2004 and $ 460 million in 2003 ."}, "exe_ans": 0.16873, "tfidftopn": {"text_11": "consumer packaging in millions 2005 2004 2003 ."}, "program_re": "divide(437, 2590)", "model_input": [["text_9", "consumer packaging 2019s 2005 net sales of $ 2.6 bil- lion were flat compared with 2004 and 5% ( 5 % ) higher com- pared with 2003 ."], ["table_1", "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;"], ["text_16", "foodservice net sales were $ 437 million in 2005 compared with $ 480 million in 2004 and $ 460 million in 2003 ."]]}, "answers": ["17%"]}, "rejected_source": {"id": "IP/2005/page_29.pdf-2", "qa": {"question": "was percentage of consumer packaging sales was due to foodservice net sales in 2004?", "answer": "18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [16], "steps": [{"op": "divide2-1", "arg1": "480", "arg2": "2605", "res": "18%"}], "program": "divide(480, 2605)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;", "text_16": "foodservice net sales were $ 437 million in 2005 compared with $ 480 million in 2004 and $ 460 million in 2003 ."}, "exe_ans": 0.18426, "tfidftopn": {"text_11": "consumer packaging in millions 2005 2004 2003 ."}, "program_re": "divide(480, 2605)", "model_input": [["text_9", "consumer packaging 2019s 2005 net sales of $ 2.6 bil- lion were flat compared with 2004 and 5% ( 5 % ) higher com- pared with 2003 ."], ["table_1", "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;"], ["text_16", "foodservice net sales were $ 437 million in 2005 compared with $ 480 million in 2004 and $ 460 million in 2003 ."]]}, "answers": ["18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001258", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: was percentage of consumer packaging sales was due to foodservice net sales in 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "18%.", "rejected": "17%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || was percentage of consumer packaging sales was due to foodservice net sales <TIME>?", "doc_prefix": "IP", "base_question": "was percentage of consumer packaging sales was due to foodservice net sales <TIME>?", "original_question": "was percentage of consumer packaging sales was due to foodservice net sales in 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "17%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "IP/2005/page_29.pdf-2", "qa": {"question": "was percentage of consumer packaging sales was due to foodservice net sales in 2004?", "answer": "18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [16], "steps": [{"op": "divide2-1", "arg1": "480", "arg2": "2605", "res": "18%"}], "program": "divide(480, 2605)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;", "text_16": "foodservice net sales were $ 437 million in 2005 compared with $ 480 million in 2004 and $ 460 million in 2003 ."}, "exe_ans": 0.18426, "tfidftopn": {"text_11": "consumer packaging in millions 2005 2004 2003 ."}, "program_re": "divide(480, 2605)", "model_input": [["text_9", "consumer packaging 2019s 2005 net sales of $ 2.6 bil- lion were flat compared with 2004 and 5% ( 5 % ) higher com- pared with 2003 ."], ["table_1", "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;"], ["text_16", "foodservice net sales were $ 437 million in 2005 compared with $ 480 million in 2004 and $ 460 million in 2003 ."]]}, "answers": ["18%"]}, "rejected_source": {"id": "IP/2005/page_29.pdf-1", "qa": {"question": "was percentage of consumer packaging sales was due to foodservice net sales in 2005?", "answer": "17%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [16], "steps": [{"op": "divide1-1", "arg1": "437", "arg2": "2590", "res": "17%"}], "program": "divide(437, 2590)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;", "text_16": "foodservice net sales were $ 437 million in 2005 compared with $ 480 million in 2004 and $ 460 million in 2003 ."}, "exe_ans": 0.16873, "tfidftopn": {"text_11": "consumer packaging in millions 2005 2004 2003 ."}, "program_re": "divide(437, 2590)", "model_input": [["text_9", "consumer packaging 2019s 2005 net sales of $ 2.6 bil- lion were flat compared with 2004 and 5% ( 5 % ) higher com- pared with 2003 ."], ["table_1", "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;"], ["text_16", "foodservice net sales were $ 437 million in 2005 compared with $ 480 million in 2004 and $ 460 million in 2003 ."]]}, "answers": ["17%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001259", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the debt-to-total asset ratio in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "2.5%.", "rejected": "2.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the debt-to-total asset ratio <TIME>?", "doc_prefix": "GS", "base_question": "what is the debt-to-total asset ratio <TIME>?", "original_question": "what is the debt-to-total asset ratio in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.7%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "2.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GS/2016/page_81.pdf-1", "qa": {"question": "what is the debt-to-total asset ratio in 2016?", "answer": "2.5%", "explanation": "", "ann_table_rows": [11, 17], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "21675", "arg2": "860165", "res": "2.5%"}], "program": "divide(21675, 860165)", "gold_inds": {"table_11": "$ in millions the debt of as of december 2016 is 21675 ; the debt of as of december 2015 is 23216 ;", "table_17": "$ in millions the total assets of as of december 2016 is $ 860165 ; the total assets of as of december 2015 is $ 861395 ;"}, "exe_ans": 0.0252, "tfidftopn": {"table_15": "$ in millions The total inventory and relatedassets of as of december 2016 is 400143 ; The total inventory and relatedassets of as of december 2015 is 406552 ;"}, "program_re": "divide(21675, 860165)", "model_input": [["text_10", "the table below presents our balance sheet allocation. ."], ["table_11", "$ in millions the debt of as of december 2016 is 21675 ; the debt of as of december 2015 is 23216 ;"], ["table_17", "$ in millions the total assets of as of december 2016 is $ 860165 ; the total assets of as of december 2015 is $ 861395 ;"]]}, "answers": ["2.5%"]}, "rejected_source": {"id": "GS/2016/page_81.pdf-2", "qa": {"question": "what is the debt-to-total asset ratio in 2015?", "answer": "2.7%", "explanation": "", "ann_table_rows": [11, 17], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "23216", "arg2": "861395", "res": "2.7%"}], "program": "divide(23216, 861395)", "gold_inds": {"table_11": "$ in millions the debt of as of december 2016 is 21675 ; the debt of as of december 2015 is 23216 ;", "table_17": "$ in millions the total assets of as of december 2016 is $ 860165 ; the total assets of as of december 2015 is $ 861395 ;"}, "exe_ans": 0.02695, "tfidftopn": {"table_15": "$ in millions The total inventory and relatedassets of as of december 2016 is 400143 ; The total inventory and relatedassets of as of december 2015 is 406552 ;"}, "program_re": "divide(23216, 861395)", "model_input": [["text_10", "the table below presents our balance sheet allocation. ."], ["table_11", "$ in millions the debt of as of december 2016 is 21675 ; the debt of as of december 2015 is 23216 ;"], ["table_17", "$ in millions the total assets of as of december 2016 is $ 860165 ; the total assets of as of december 2015 is $ 861395 ;"]]}, "answers": ["2.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001260", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the debt-to-total asset ratio in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "2.7%.", "rejected": "2.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the debt-to-total asset ratio <TIME>?", "doc_prefix": "GS", "base_question": "what is the debt-to-total asset ratio <TIME>?", "original_question": "what is the debt-to-total asset ratio in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.7%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "2.5%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "GS/2016/page_81.pdf-2", "qa": {"question": "what is the debt-to-total asset ratio in 2015?", "answer": "2.7%", "explanation": "", "ann_table_rows": [11, 17], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "23216", "arg2": "861395", "res": "2.7%"}], "program": "divide(23216, 861395)", "gold_inds": {"table_11": "$ in millions the debt of as of december 2016 is 21675 ; the debt of as of december 2015 is 23216 ;", "table_17": "$ in millions the total assets of as of december 2016 is $ 860165 ; the total assets of as of december 2015 is $ 861395 ;"}, "exe_ans": 0.02695, "tfidftopn": {"table_15": "$ in millions The total inventory and relatedassets of as of december 2016 is 400143 ; The total inventory and relatedassets of as of december 2015 is 406552 ;"}, "program_re": "divide(23216, 861395)", "model_input": [["text_10", "the table below presents our balance sheet allocation. ."], ["table_11", "$ in millions the debt of as of december 2016 is 21675 ; the debt of as of december 2015 is 23216 ;"], ["table_17", "$ in millions the total assets of as of december 2016 is $ 860165 ; the total assets of as of december 2015 is $ 861395 ;"]]}, "answers": ["2.7%"]}, "rejected_source": {"id": "GS/2016/page_81.pdf-1", "qa": {"question": "what is the debt-to-total asset ratio in 2016?", "answer": "2.5%", "explanation": "", "ann_table_rows": [11, 17], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "21675", "arg2": "860165", "res": "2.5%"}], "program": "divide(21675, 860165)", "gold_inds": {"table_11": "$ in millions the debt of as of december 2016 is 21675 ; the debt of as of december 2015 is 23216 ;", "table_17": "$ in millions the total assets of as of december 2016 is $ 860165 ; the total assets of as of december 2015 is $ 861395 ;"}, "exe_ans": 0.0252, "tfidftopn": {"table_15": "$ in millions The total inventory and relatedassets of as of december 2016 is 400143 ; The total inventory and relatedassets of as of december 2015 is 406552 ;"}, "program_re": "divide(21675, 860165)", "model_input": [["text_10", "the table below presents our balance sheet allocation. ."], ["table_11", "$ in millions the debt of as of december 2016 is 21675 ; the debt of as of december 2015 is 23216 ;"], ["table_17", "$ in millions the total assets of as of december 2016 is $ 860165 ; the total assets of as of december 2015 is $ 861395 ;"]]}, "answers": ["2.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001261", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the average price per share for the repurchased shares during 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "45.35.", "rejected": "46.95.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GIS || what is the average price per share for the repurchased shares <TIME>?", "doc_prefix": "GIS", "base_question": "what is the average price per share for the repurchased shares <TIME>?", "original_question": "what is the average price per share for the repurchased shares during 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"45.35": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "46.95": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "GIS/2006/page_43.pdf-2", "qa": {"question": "what is the average price per share for the repurchased shares during 2005?", "answer": "45.35", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "divide2-1", "arg1": "771", "arg2": "17", "res": "45.35"}], "program": "divide(771, 17)", "gold_inds": {"text_1": "in fiscal 2005 , we repurchased 17 million shares of common stock for an aggregate purchase price of $ 771 million ."}, "exe_ans": 45.35294, "tfidftopn": {"text_0": "during fiscal 2006 , we repurchased 19 million shares of common stock for an aggregate purchase price of $ 892 million , of which $ 7 million settled after the end of our fiscal year .", "text_9": "on october 28 , 2005 , we repurchased a significant portion of our zero coupon convertible debentures pursuant to put rights of the holders for an aggregate purchase price of $ 1.33 billion , including $ 77 million of accreted original issue discount ."}, "program_re": "divide(771, 17)", "model_input": [["text_0", "during fiscal 2006 , we repurchased 19 million shares of common stock for an aggregate purchase price of $ 892 million , of which $ 7 million settled after the end of our fiscal year ."], ["text_1", "in fiscal 2005 , we repurchased 17 million shares of common stock for an aggregate purchase price of $ 771 million ."], ["text_9", "on october 28 , 2005 , we repurchased a significant portion of our zero coupon convertible debentures pursuant to put rights of the holders for an aggregate purchase price of $ 1.33 billion , including $ 77 million of accreted original issue discount ."]]}, "answers": ["45.35"]}, "rejected_source": {"id": "GIS/2006/page_43.pdf-3", "qa": {"question": "what is the average price per share for the repurchased shares during 2006?", "answer": "46.95", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "divide1-1", "arg1": "892", "arg2": "19", "res": "46.95"}], "program": "divide(892, 19)", "gold_inds": {"text_0": "during fiscal 2006 , we repurchased 19 million shares of common stock for an aggregate purchase price of $ 892 million , of which $ 7 million settled after the end of our fiscal year ."}, "exe_ans": 46.94737, "tfidftopn": {"text_1": "in fiscal 2005 , we repurchased 17 million shares of common stock for an aggregate purchase price of $ 771 million .", "text_2": "a total of 146 million shares were held in treasury at may 28 , 2006 ."}, "program_re": "divide(892, 19)", "model_input": [["text_0", "during fiscal 2006 , we repurchased 19 million shares of common stock for an aggregate purchase price of $ 892 million , of which $ 7 million settled after the end of our fiscal year ."], ["text_1", "in fiscal 2005 , we repurchased 17 million shares of common stock for an aggregate purchase price of $ 771 million ."], ["text_2", "a total of 146 million shares were held in treasury at may 28 , 2006 ."]]}, "answers": ["46.95"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001262", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the average price per share for the repurchased shares during 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "46.95.", "rejected": "45.35.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GIS || what is the average price per share for the repurchased shares <TIME>?", "doc_prefix": "GIS", "base_question": "what is the average price per share for the repurchased shares <TIME>?", "original_question": "what is the average price per share for the repurchased shares during 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"45.35": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}], "46.95": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}]}, "chosen_source": {"id": "GIS/2006/page_43.pdf-3", "qa": {"question": "what is the average price per share for the repurchased shares during 2006?", "answer": "46.95", "explanation": "", "ann_table_rows": [], "ann_text_rows": [0], "steps": [{"op": "divide1-1", "arg1": "892", "arg2": "19", "res": "46.95"}], "program": "divide(892, 19)", "gold_inds": {"text_0": "during fiscal 2006 , we repurchased 19 million shares of common stock for an aggregate purchase price of $ 892 million , of which $ 7 million settled after the end of our fiscal year ."}, "exe_ans": 46.94737, "tfidftopn": {"text_1": "in fiscal 2005 , we repurchased 17 million shares of common stock for an aggregate purchase price of $ 771 million .", "text_2": "a total of 146 million shares were held in treasury at may 28 , 2006 ."}, "program_re": "divide(892, 19)", "model_input": [["text_0", "during fiscal 2006 , we repurchased 19 million shares of common stock for an aggregate purchase price of $ 892 million , of which $ 7 million settled after the end of our fiscal year ."], ["text_1", "in fiscal 2005 , we repurchased 17 million shares of common stock for an aggregate purchase price of $ 771 million ."], ["text_2", "a total of 146 million shares were held in treasury at may 28 , 2006 ."]]}, "answers": ["46.95"]}, "rejected_source": {"id": "GIS/2006/page_43.pdf-2", "qa": {"question": "what is the average price per share for the repurchased shares during 2005?", "answer": "45.35", "explanation": "", "ann_table_rows": [], "ann_text_rows": [1], "steps": [{"op": "divide2-1", "arg1": "771", "arg2": "17", "res": "45.35"}], "program": "divide(771, 17)", "gold_inds": {"text_1": "in fiscal 2005 , we repurchased 17 million shares of common stock for an aggregate purchase price of $ 771 million ."}, "exe_ans": 45.35294, "tfidftopn": {"text_0": "during fiscal 2006 , we repurchased 19 million shares of common stock for an aggregate purchase price of $ 892 million , of which $ 7 million settled after the end of our fiscal year .", "text_9": "on october 28 , 2005 , we repurchased a significant portion of our zero coupon convertible debentures pursuant to put rights of the holders for an aggregate purchase price of $ 1.33 billion , including $ 77 million of accreted original issue discount ."}, "program_re": "divide(771, 17)", "model_input": [["text_0", "during fiscal 2006 , we repurchased 19 million shares of common stock for an aggregate purchase price of $ 892 million , of which $ 7 million settled after the end of our fiscal year ."], ["text_1", "in fiscal 2005 , we repurchased 17 million shares of common stock for an aggregate purchase price of $ 771 million ."], ["text_9", "on october 28 , 2005 , we repurchased a significant portion of our zero coupon convertible debentures pursuant to put rights of the holders for an aggregate purchase price of $ 1.33 billion , including $ 77 million of accreted original issue discount ."]]}, "answers": ["45.35"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001263", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in research and development costs between 2001 and 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "10%.", "rejected": "14%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AOS || what was the percentage change in research and development costs <TIME>?", "doc_prefix": "AOS", "base_question": "what was the percentage change in research and development costs <TIME>?", "original_question": "what was the percentage change in research and development costs between 2001 and 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "between 2001 and 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"10%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "between 2001 and 2002"}], "14%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003"}]}, "chosen_source": {"id": "AOS/2003/page_23.pdf-1", "qa": {"question": "what was the percentage change in research and development costs between 2001 and 2002?", "answer": "10%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus1-1", "arg1": "30.4", "arg2": "27.6", "res": "2.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "27.6", "res": "10%"}], "program": "subtract(30.4, 27.6), divide(#0, 27.6)", "gold_inds": {"text_14": "research and development costs are charged to operations as incurred and amounted to $ 34.6 , $ 30.4 and $ 27.6 million during 2003 , 2002 and 2001 , respectively ."}, "exe_ans": 0.10145, "tfidftopn": {"text_13": "research and development .", "text_12": "advertising costs are charged to operations as incurred and amounted to $ 18.4 , $ 16.2 and $ 8.8 million during 2003 , 2002 and 2001 respectively ."}, "program_re": "divide(subtract(30.4, 27.6), 27.6)", "model_input": [["text_14", "research and development costs are charged to operations as incurred and amounted to $ 34.6 , $ 30.4 and $ 27.6 million during 2003 , 2002 and 2001 , respectively ."], ["table_1", "years ended december 31 ( dollars in millions ) the balance at beginning of year of 2003 is $ 63.2 ; the balance at beginning of year of 2002 is $ 69.6 ;"], ["table_5", "years ended december 31 ( dollars in millions ) the balance at end of year of 2003 is $ 62.1 ; the balance at end of year of 2002 is $ 63.2 ;"]]}, "answers": ["10%"]}, "rejected_source": {"id": "AOS/2003/page_23.pdf-2", "qa": {"question": "what was the percentage change in research and development costs between 2002 and 2003?", "answer": "14%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "34.6", "arg2": "30.4", "res": "4.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30.4", "res": "14%"}], "program": "subtract(34.6, 30.4), divide(#0, 30.4)", "gold_inds": {"text_14": "research and development costs are charged to operations as incurred and amounted to $ 34.6 , $ 30.4 and $ 27.6 million during 2003 , 2002 and 2001 , respectively ."}, "exe_ans": 0.13816, "tfidftopn": {"text_13": "research and development .", "text_24": "the accruals are adjusted as facts and circumstances change ."}, "program_re": "divide(subtract(34.6, 30.4), 30.4)", "model_input": [["text_14", "research and development costs are charged to operations as incurred and amounted to $ 34.6 , $ 30.4 and $ 27.6 million during 2003 , 2002 and 2001 , respectively ."], ["table_1", "years ended december 31 ( dollars in millions ) the balance at beginning of year of 2003 is $ 63.2 ; the balance at beginning of year of 2002 is $ 69.6 ;"], ["table_5", "years ended december 31 ( dollars in millions ) the balance at end of year of 2003 is $ 62.1 ; the balance at end of year of 2002 is $ 63.2 ;"]]}, "answers": ["14%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001264", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in research and development costs between 2002 and 2003?\nReference time interval: 2002-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "14%.", "rejected": "10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AOS || what was the percentage change in research and development costs <TIME>?", "doc_prefix": "AOS", "base_question": "what was the percentage change in research and development costs <TIME>?", "original_question": "what was the percentage change in research and development costs between 2002 and 2003?", "reference_time": {"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"10%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "between 2001 and 2002"}], "14%": [{"start": "2002-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "between 2002 and 2003"}]}, "chosen_source": {"id": "AOS/2003/page_23.pdf-2", "qa": {"question": "what was the percentage change in research and development costs between 2002 and 2003?", "answer": "14%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "34.6", "arg2": "30.4", "res": "4.2"}, {"op": "divide2-2", "arg1": "#0", "arg2": "30.4", "res": "14%"}], "program": "subtract(34.6, 30.4), divide(#0, 30.4)", "gold_inds": {"text_14": "research and development costs are charged to operations as incurred and amounted to $ 34.6 , $ 30.4 and $ 27.6 million during 2003 , 2002 and 2001 , respectively ."}, "exe_ans": 0.13816, "tfidftopn": {"text_13": "research and development .", "text_24": "the accruals are adjusted as facts and circumstances change ."}, "program_re": "divide(subtract(34.6, 30.4), 30.4)", "model_input": [["text_14", "research and development costs are charged to operations as incurred and amounted to $ 34.6 , $ 30.4 and $ 27.6 million during 2003 , 2002 and 2001 , respectively ."], ["table_1", "years ended december 31 ( dollars in millions ) the balance at beginning of year of 2003 is $ 63.2 ; the balance at beginning of year of 2002 is $ 69.6 ;"], ["table_5", "years ended december 31 ( dollars in millions ) the balance at end of year of 2003 is $ 62.1 ; the balance at end of year of 2002 is $ 63.2 ;"]]}, "answers": ["14%"]}, "rejected_source": {"id": "AOS/2003/page_23.pdf-1", "qa": {"question": "what was the percentage change in research and development costs between 2001 and 2002?", "answer": "10%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus1-1", "arg1": "30.4", "arg2": "27.6", "res": "2.8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "27.6", "res": "10%"}], "program": "subtract(30.4, 27.6), divide(#0, 27.6)", "gold_inds": {"text_14": "research and development costs are charged to operations as incurred and amounted to $ 34.6 , $ 30.4 and $ 27.6 million during 2003 , 2002 and 2001 , respectively ."}, "exe_ans": 0.10145, "tfidftopn": {"text_13": "research and development .", "text_12": "advertising costs are charged to operations as incurred and amounted to $ 18.4 , $ 16.2 and $ 8.8 million during 2003 , 2002 and 2001 respectively ."}, "program_re": "divide(subtract(30.4, 27.6), 27.6)", "model_input": [["text_14", "research and development costs are charged to operations as incurred and amounted to $ 34.6 , $ 30.4 and $ 27.6 million during 2003 , 2002 and 2001 , respectively ."], ["table_1", "years ended december 31 ( dollars in millions ) the balance at beginning of year of 2003 is $ 63.2 ; the balance at beginning of year of 2002 is $ 69.6 ;"], ["table_5", "years ended december 31 ( dollars in millions ) the balance at end of year of 2003 is $ 62.1 ; the balance at end of year of 2002 is $ 63.2 ;"]]}, "answers": ["10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001265", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in estimated amortization expense for finite-lived intangible assets from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "1.91%.", "rejected": "23.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the percent change in estimated amortization expense for finite-lived intangible assets <TIME>?", "doc_prefix": "BLK", "base_question": "what is the percent change in estimated amortization expense for finite-lived intangible assets <TIME>?", "original_question": "what is the percent change in estimated amortization expense for finite-lived intangible assets from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.91%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "23.8%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "BLK/2009/page_98.pdf-1", "qa": {"question": "what is the percent change in estimated amortization expense for finite-lived intangible assets from 2010 to 2011?", "answer": "1.91%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "160", "arg2": "157", "res": "3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "157", "res": "1.91%"}], "program": "subtract(160, 157), divide(#0, 157)", "gold_inds": {"table_1": "2010 the 2011 of $ 160 is 157 ;"}, "exe_ans": 0.01911, "tfidftopn": {"text_2": "estimated amortization expense for finite-lived intangible assets for each of the five succeeding years is as follows : ( dollar amounts in millions ) .", "text_1": "in december 2009 , in conjunction with the bgi trans- action , the company acquired $ 163 million of finite- lived management contracts with a weighted-average estimated useful life of approximately 10 years ."}, "program_re": "divide(subtract(160, 157), 157)", "model_input": [["text_2", "estimated amortization expense for finite-lived intangible assets for each of the five succeeding years is as follows : ( dollar amounts in millions ) ."], ["table_0", "2010 the 2010 of $ 160 is $ 160 ;"], ["table_1", "2010 the 2011 of $ 160 is 157 ;"]]}, "answers": ["1.91%"]}, "rejected_source": {"id": "BLK/2013/page_123.pdf-1", "qa": {"question": "what is the percent change in estimated amortization expense for finite-lived intangible assets from 2014 to 2015?", "answer": "23.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "156", "arg2": "126", "res": "30"}, {"op": "divide1-2", "arg1": "#0", "arg2": "126", "res": "23.8%"}], "program": "subtract(156, 126), divide(#0, 126)", "gold_inds": {"table_1": "year the 2014 of amount is $ 156 ;", "table_2": "year the 2015 of amount is 126 ;", "text_1": "estimated amortization expense for finite-lived intangible assets for each of the five succeeding years is as follows : ( in millions ) ."}, "exe_ans": 0.2381, "tfidftopn": {}, "program_re": "divide(subtract(156, 126), 126)", "model_input": [["text_1", "estimated amortization expense for finite-lived intangible assets for each of the five succeeding years is as follows : ( in millions ) ."], ["table_1", "year the 2014 of amount is $ 156 ;"], ["table_2", "year the 2015 of amount is 126 ;"]]}, "answers": ["23.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001266", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percent change in estimated amortization expense for finite-lived intangible assets from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "23.8%.", "rejected": "1.91%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the percent change in estimated amortization expense for finite-lived intangible assets <TIME>?", "doc_prefix": "BLK", "base_question": "what is the percent change in estimated amortization expense for finite-lived intangible assets <TIME>?", "original_question": "what is the percent change in estimated amortization expense for finite-lived intangible assets from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.91%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "23.8%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "BLK/2013/page_123.pdf-1", "qa": {"question": "what is the percent change in estimated amortization expense for finite-lived intangible assets from 2014 to 2015?", "answer": "23.8%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [1], "steps": [{"op": "minus1-1", "arg1": "156", "arg2": "126", "res": "30"}, {"op": "divide1-2", "arg1": "#0", "arg2": "126", "res": "23.8%"}], "program": "subtract(156, 126), divide(#0, 126)", "gold_inds": {"table_1": "year the 2014 of amount is $ 156 ;", "table_2": "year the 2015 of amount is 126 ;", "text_1": "estimated amortization expense for finite-lived intangible assets for each of the five succeeding years is as follows : ( in millions ) ."}, "exe_ans": 0.2381, "tfidftopn": {}, "program_re": "divide(subtract(156, 126), 126)", "model_input": [["text_1", "estimated amortization expense for finite-lived intangible assets for each of the five succeeding years is as follows : ( in millions ) ."], ["table_1", "year the 2014 of amount is $ 156 ;"], ["table_2", "year the 2015 of amount is 126 ;"]]}, "answers": ["23.8%"]}, "rejected_source": {"id": "BLK/2009/page_98.pdf-1", "qa": {"question": "what is the percent change in estimated amortization expense for finite-lived intangible assets from 2010 to 2011?", "answer": "1.91%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "160", "arg2": "157", "res": "3"}, {"op": "divide1-2", "arg1": "#0", "arg2": "157", "res": "1.91%"}], "program": "subtract(160, 157), divide(#0, 157)", "gold_inds": {"table_1": "2010 the 2011 of $ 160 is 157 ;"}, "exe_ans": 0.01911, "tfidftopn": {"text_2": "estimated amortization expense for finite-lived intangible assets for each of the five succeeding years is as follows : ( dollar amounts in millions ) .", "text_1": "in december 2009 , in conjunction with the bgi trans- action , the company acquired $ 163 million of finite- lived management contracts with a weighted-average estimated useful life of approximately 10 years ."}, "program_re": "divide(subtract(160, 157), 157)", "model_input": [["text_2", "estimated amortization expense for finite-lived intangible assets for each of the five succeeding years is as follows : ( dollar amounts in millions ) ."], ["table_0", "2010 the 2010 of $ 160 is $ 160 ;"], ["table_1", "2010 the 2011 of $ 160 is 157 ;"]]}, "answers": ["1.91%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001267", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2014 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 was attributable to maturities of long-term debt?\nReference time interval: 2013-12-31 00:00:00 to 2014-01-01 00:00:00", "chosen": "17%.", "rejected": "36%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> was attributable to maturities of long-term debt?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> was attributable to maturities of long-term debt?", "original_question": "in 2014 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 was attributable to maturities of long-term debt?", "reference_time": {"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17%": [{"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31"}], "36%": [{"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31"}]}, "chosen_source": {"id": "IP/2013/page_70.pdf-1", "qa": {"question": "in 2014 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 was attributable to maturities of long-term debt?", "answer": "17%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "661", "arg2": "4002", "res": "17%"}], "program": "divide(661, 4002)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2014 is $ 661 ; the maturities of long-term debt ( a ) of 2015 is $ 498 ; the maturities of long-term debt ( a ) of 2016 is $ 571 ; the maturities of long-term debt ( a ) of 2017 is $ 285 ; the maturities of long-term debt ( a ) of 2018 is $ 1837 ; the maturities of long-term debt ( a ) of thereafter is $ 5636 ;", "table_5": "in millions the total ( d ) of 2014 is $ 4002 ; the total ( d ) of 2015 is $ 1401 ; the total ( d ) of 2016 is $ 6495 ; the total ( d ) of 2017 is $ 888 ; the total ( d ) of 2018 is $ 2349 ; the total ( d ) of thereafter is $ 8202 ;"}, "exe_ans": 0.16517, "tfidftopn": {"text_20": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 , were as follows: ."}, "program_re": "divide(661, 4002)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2014 is $ 661 ; the maturities of long-term debt ( a ) of 2015 is $ 498 ; the maturities of long-term debt ( a ) of 2016 is $ 571 ; the maturities of long-term debt ( a ) of 2017 is $ 285 ; the maturities of long-term debt ( a ) of 2018 is $ 1837 ; the maturities of long-term debt ( a ) of thereafter is $ 5636 ;"], ["table_3", "in millions the lease obligations of 2014 is 171 ; the lease obligations of 2015 is 133 ; the lease obligations of 2016 is 97 ; the lease obligations of 2017 is 74 ; the lease obligations of 2018 is 59 ; the lease obligations of thereafter is 162 ;"], ["table_5", "in millions the total ( d ) of 2014 is $ 4002 ; the total ( d ) of 2015 is $ 1401 ; the total ( d ) of 2016 is $ 6495 ; the total ( d ) of 2017 is $ 888 ; the total ( d ) of 2018 is $ 2349 ; the total ( d ) of thereafter is $ 8202 ;"]]}, "answers": ["17%"]}, "rejected_source": {"id": "IP/2013/page_70.pdf-2", "qa": {"question": "in 2015 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 was attributable to maturities of long-term debt?", "answer": "36%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "498", "arg2": "1401", "res": "36%"}], "program": "divide(498, 1401)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2014 is $ 661 ; the maturities of long-term debt ( a ) of 2015 is $ 498 ; the maturities of long-term debt ( a ) of 2016 is $ 571 ; the maturities of long-term debt ( a ) of 2017 is $ 285 ; the maturities of long-term debt ( a ) of 2018 is $ 1837 ; the maturities of long-term debt ( a ) of thereafter is $ 5636 ;", "table_5": "in millions the total ( d ) of 2014 is $ 4002 ; the total ( d ) of 2015 is $ 1401 ; the total ( d ) of 2016 is $ 6495 ; the total ( d ) of 2017 is $ 888 ; the total ( d ) of 2018 is $ 2349 ; the total ( d ) of thereafter is $ 8202 ;"}, "exe_ans": 0.35546, "tfidftopn": {"text_20": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 , were as follows: ."}, "program_re": "divide(498, 1401)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2014 is $ 661 ; the maturities of long-term debt ( a ) of 2015 is $ 498 ; the maturities of long-term debt ( a ) of 2016 is $ 571 ; the maturities of long-term debt ( a ) of 2017 is $ 285 ; the maturities of long-term debt ( a ) of 2018 is $ 1837 ; the maturities of long-term debt ( a ) of thereafter is $ 5636 ;"], ["table_3", "in millions the lease obligations of 2014 is 171 ; the lease obligations of 2015 is 133 ; the lease obligations of 2016 is 97 ; the lease obligations of 2017 is 74 ; the lease obligations of 2018 is 59 ; the lease obligations of thereafter is 162 ;"], ["table_5", "in millions the total ( d ) of 2014 is $ 4002 ; the total ( d ) of 2015 is $ 1401 ; the total ( d ) of 2016 is $ 6495 ; the total ( d ) of 2017 is $ 888 ; the total ( d ) of 2018 is $ 2349 ; the total ( d ) of thereafter is $ 8202 ;"]]}, "answers": ["36%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001268", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: in 2015 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 was attributable to maturities of long-term debt?\nReference time interval: 2013-12-31 00:00:00 to 2014-01-01 00:00:00", "chosen": "36%.", "rejected": "17%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || <TIME> what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> was attributable to maturities of long-term debt?", "doc_prefix": "IP", "base_question": "<TIME> what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations <TIME> was attributable to maturities of long-term debt?", "original_question": "in 2015 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 was attributable to maturities of long-term debt?", "reference_time": {"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31", "time_type": "day"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17%": [{"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31"}], "36%": [{"start": "2013-12-31 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013-12-31"}]}, "chosen_source": {"id": "IP/2013/page_70.pdf-2", "qa": {"question": "in 2015 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 was attributable to maturities of long-term debt?", "answer": "36%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "498", "arg2": "1401", "res": "36%"}], "program": "divide(498, 1401)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2014 is $ 661 ; the maturities of long-term debt ( a ) of 2015 is $ 498 ; the maturities of long-term debt ( a ) of 2016 is $ 571 ; the maturities of long-term debt ( a ) of 2017 is $ 285 ; the maturities of long-term debt ( a ) of 2018 is $ 1837 ; the maturities of long-term debt ( a ) of thereafter is $ 5636 ;", "table_5": "in millions the total ( d ) of 2014 is $ 4002 ; the total ( d ) of 2015 is $ 1401 ; the total ( d ) of 2016 is $ 6495 ; the total ( d ) of 2017 is $ 888 ; the total ( d ) of 2018 is $ 2349 ; the total ( d ) of thereafter is $ 8202 ;"}, "exe_ans": 0.35546, "tfidftopn": {"text_20": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 , were as follows: ."}, "program_re": "divide(498, 1401)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2014 is $ 661 ; the maturities of long-term debt ( a ) of 2015 is $ 498 ; the maturities of long-term debt ( a ) of 2016 is $ 571 ; the maturities of long-term debt ( a ) of 2017 is $ 285 ; the maturities of long-term debt ( a ) of 2018 is $ 1837 ; the maturities of long-term debt ( a ) of thereafter is $ 5636 ;"], ["table_3", "in millions the lease obligations of 2014 is 171 ; the lease obligations of 2015 is 133 ; the lease obligations of 2016 is 97 ; the lease obligations of 2017 is 74 ; the lease obligations of 2018 is 59 ; the lease obligations of thereafter is 162 ;"], ["table_5", "in millions the total ( d ) of 2014 is $ 4002 ; the total ( d ) of 2015 is $ 1401 ; the total ( d ) of 2016 is $ 6495 ; the total ( d ) of 2017 is $ 888 ; the total ( d ) of 2018 is $ 2349 ; the total ( d ) of thereafter is $ 8202 ;"]]}, "answers": ["36%"]}, "rejected_source": {"id": "IP/2013/page_70.pdf-1", "qa": {"question": "in 2014 what percentage of contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 was attributable to maturities of long-term debt?", "answer": "17%", "explanation": "", "ann_table_rows": [1, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "661", "arg2": "4002", "res": "17%"}], "program": "divide(661, 4002)", "gold_inds": {"table_1": "in millions the maturities of long-term debt ( a ) of 2014 is $ 661 ; the maturities of long-term debt ( a ) of 2015 is $ 498 ; the maturities of long-term debt ( a ) of 2016 is $ 571 ; the maturities of long-term debt ( a ) of 2017 is $ 285 ; the maturities of long-term debt ( a ) of 2018 is $ 1837 ; the maturities of long-term debt ( a ) of thereafter is $ 5636 ;", "table_5": "in millions the total ( d ) of 2014 is $ 4002 ; the total ( d ) of 2015 is $ 1401 ; the total ( d ) of 2016 is $ 6495 ; the total ( d ) of 2017 is $ 888 ; the total ( d ) of 2018 is $ 2349 ; the total ( d ) of thereafter is $ 8202 ;"}, "exe_ans": 0.16517, "tfidftopn": {"text_20": "contractual obligations for future payments under existing debt and lease commitments and purchase obligations at december 31 , 2013 , were as follows: ."}, "program_re": "divide(661, 4002)", "model_input": [["table_1", "in millions the maturities of long-term debt ( a ) of 2014 is $ 661 ; the maturities of long-term debt ( a ) of 2015 is $ 498 ; the maturities of long-term debt ( a ) of 2016 is $ 571 ; the maturities of long-term debt ( a ) of 2017 is $ 285 ; the maturities of long-term debt ( a ) of 2018 is $ 1837 ; the maturities of long-term debt ( a ) of thereafter is $ 5636 ;"], ["table_3", "in millions the lease obligations of 2014 is 171 ; the lease obligations of 2015 is 133 ; the lease obligations of 2016 is 97 ; the lease obligations of 2017 is 74 ; the lease obligations of 2018 is 59 ; the lease obligations of thereafter is 162 ;"], ["table_5", "in millions the total ( d ) of 2014 is $ 4002 ; the total ( d ) of 2015 is $ 1401 ; the total ( d ) of 2016 is $ 6495 ; the total ( d ) of 2017 is $ 888 ; the total ( d ) of 2018 is $ 2349 ; the total ( d ) of thereafter is $ 8202 ;"]]}, "answers": ["17%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001269", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are is the net change in the balance of unpaid losses during 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "1584.", "rejected": "650.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CB || what are is the net change in the balance of unpaid losses <TIME>?", "doc_prefix": "CB", "base_question": "what are is the net change in the balance of unpaid losses <TIME>?", "original_question": "what are is the net change in the balance of unpaid losses during 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1584": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "650": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "CB/2008/page_83.pdf-1", "qa": {"question": "what are is the net change in the balance of unpaid losses during 2007?", "answer": "1584", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "7351", "arg2": "-5934", "res": "1417"}, {"op": "add1-2", "arg1": "#0", "arg2": "167", "res": "1584"}], "program": "add(7351, -5934), add(#0, 167)", "gold_inds": {"table_1": "( in millions of u.s . dollars ) the balance at december 31 2006 of gross losses is $ 35517 ; the balance at december 31 2006 of reinsurance recoverable is $ 13509 ; the balance at december 31 2006 of net losses is $ 22008 ;", "table_2": "( in millions of u.s . dollars ) the losses and loss expenses incurred of gross losses is 10831 ; the losses and loss expenses incurred of reinsurance recoverable is 3480 ; the losses and loss expenses incurred of net losses is 7351 ;", "table_3": "( in millions of u.s . dollars ) the losses and loss expenses paid of gross losses is -9516 ( 9516 ) ; the losses and loss expenses paid of reinsurance recoverable is -3582 ( 3582 ) ; the losses and loss expenses paid of net losses is -5934 ( 5934 ) ;", "table_4": "( in millions of u.s . dollars ) the other ( including foreign exchange revaluation ) of gross losses is 280 ; the other ( including foreign exchange revaluation ) of reinsurance recoverable is 113 ; the other ( including foreign exchange revaluation ) of net losses is 167 ;"}, "exe_ans": 1584.0, "tfidftopn": {}, "program_re": "add(add(7351, -5934), 167)", "model_input": [["table_1", "( in millions of u.s . dollars ) the balance at december 31 2006 of gross losses is $ 35517 ; the balance at december 31 2006 of reinsurance recoverable is $ 13509 ; the balance at december 31 2006 of net losses is $ 22008 ;"], ["table_2", "( in millions of u.s . dollars ) the losses and loss expenses incurred of gross losses is 10831 ; the losses and loss expenses incurred of reinsurance recoverable is 3480 ; the losses and loss expenses incurred of net losses is 7351 ;"], ["table_3", "( in millions of u.s . dollars ) the losses and loss expenses paid of gross losses is -9516 ( 9516 ) ; the losses and loss expenses paid of reinsurance recoverable is -3582 ( 3582 ) ; the losses and loss expenses paid of net losses is -5934 ( 5934 ) ;"], ["table_4", "( in millions of u.s . dollars ) the other ( including foreign exchange revaluation ) of gross losses is 280 ; the other ( including foreign exchange revaluation ) of reinsurance recoverable is 113 ; the other ( including foreign exchange revaluation ) of net losses is 167 ;"]]}, "answers": ["1584"]}, "rejected_source": {"id": "CB/2008/page_83.pdf-2", "qa": {"question": "what are is the net change in the balance of unpaid losses during 2008?", "answer": "650", "explanation": "", "ann_table_rows": [6, 7, 8, 9], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "7603", "arg2": "-6327", "res": "1277"}, {"op": "add2-2", "arg1": "#0", "arg2": "-980", "res": "297"}, {"op": "add2-3", "arg1": "#1", "arg2": "353", "res": "650"}], "program": "add(7603, -6327), add(#0, -980), add(#1, 353)", "gold_inds": {"table_6": "( in millions of u.s . dollars ) the losses and loss expenses incurred of gross losses is 10944 ; the losses and loss expenses incurred of reinsurance recoverable is 3341 ; the losses and loss expenses incurred of net losses is 7603 ;", "table_7": "( in millions of u.s . dollars ) the losses and loss expenses paid of gross losses is -9899 ( 9899 ) ; the losses and loss expenses paid of reinsurance recoverable is -3572 ( 3572 ) ; the losses and loss expenses paid of net losses is -6327 ( 6327 ) ;", "table_8": "( in millions of u.s . dollars ) the other ( including foreign exchange revaluation ) of gross losses is -1367 ( 1367 ) ; the other ( including foreign exchange revaluation ) of reinsurance recoverable is -387 ( 387 ) ; the other ( including foreign exchange revaluation ) of net losses is -980 ( 980 ) ;", "table_9": "( in millions of u.s . dollars ) the losses and loss expenses acquired of gross losses is 386 ; the losses and loss expenses acquired of reinsurance recoverable is 33 ; the losses and loss expenses acquired of net losses is 353 ;"}, "exe_ans": 649.0, "tfidftopn": {}, "program_re": "add(add(add(7603, -6327), -980), 353)", "model_input": [["table_6", "( in millions of u.s . dollars ) the losses and loss expenses incurred of gross losses is 10944 ; the losses and loss expenses incurred of reinsurance recoverable is 3341 ; the losses and loss expenses incurred of net losses is 7603 ;"], ["table_7", "( in millions of u.s . dollars ) the losses and loss expenses paid of gross losses is -9899 ( 9899 ) ; the losses and loss expenses paid of reinsurance recoverable is -3572 ( 3572 ) ; the losses and loss expenses paid of net losses is -6327 ( 6327 ) ;"], ["table_8", "( in millions of u.s . dollars ) the other ( including foreign exchange revaluation ) of gross losses is -1367 ( 1367 ) ; the other ( including foreign exchange revaluation ) of reinsurance recoverable is -387 ( 387 ) ; the other ( including foreign exchange revaluation ) of net losses is -980 ( 980 ) ;"], ["table_9", "( in millions of u.s . dollars ) the losses and loss expenses acquired of gross losses is 386 ; the losses and loss expenses acquired of reinsurance recoverable is 33 ; the losses and loss expenses acquired of net losses is 353 ;"]]}, "answers": ["650"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001270", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are is the net change in the balance of unpaid losses during 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "650.", "rejected": "1584.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CB || what are is the net change in the balance of unpaid losses <TIME>?", "doc_prefix": "CB", "base_question": "what are is the net change in the balance of unpaid losses <TIME>?", "original_question": "what are is the net change in the balance of unpaid losses during 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1584": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "650": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "CB/2008/page_83.pdf-2", "qa": {"question": "what are is the net change in the balance of unpaid losses during 2008?", "answer": "650", "explanation": "", "ann_table_rows": [6, 7, 8, 9], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "7603", "arg2": "-6327", "res": "1277"}, {"op": "add2-2", "arg1": "#0", "arg2": "-980", "res": "297"}, {"op": "add2-3", "arg1": "#1", "arg2": "353", "res": "650"}], "program": "add(7603, -6327), add(#0, -980), add(#1, 353)", "gold_inds": {"table_6": "( in millions of u.s . dollars ) the losses and loss expenses incurred of gross losses is 10944 ; the losses and loss expenses incurred of reinsurance recoverable is 3341 ; the losses and loss expenses incurred of net losses is 7603 ;", "table_7": "( in millions of u.s . dollars ) the losses and loss expenses paid of gross losses is -9899 ( 9899 ) ; the losses and loss expenses paid of reinsurance recoverable is -3572 ( 3572 ) ; the losses and loss expenses paid of net losses is -6327 ( 6327 ) ;", "table_8": "( in millions of u.s . dollars ) the other ( including foreign exchange revaluation ) of gross losses is -1367 ( 1367 ) ; the other ( including foreign exchange revaluation ) of reinsurance recoverable is -387 ( 387 ) ; the other ( including foreign exchange revaluation ) of net losses is -980 ( 980 ) ;", "table_9": "( in millions of u.s . dollars ) the losses and loss expenses acquired of gross losses is 386 ; the losses and loss expenses acquired of reinsurance recoverable is 33 ; the losses and loss expenses acquired of net losses is 353 ;"}, "exe_ans": 649.0, "tfidftopn": {}, "program_re": "add(add(add(7603, -6327), -980), 353)", "model_input": [["table_6", "( in millions of u.s . dollars ) the losses and loss expenses incurred of gross losses is 10944 ; the losses and loss expenses incurred of reinsurance recoverable is 3341 ; the losses and loss expenses incurred of net losses is 7603 ;"], ["table_7", "( in millions of u.s . dollars ) the losses and loss expenses paid of gross losses is -9899 ( 9899 ) ; the losses and loss expenses paid of reinsurance recoverable is -3572 ( 3572 ) ; the losses and loss expenses paid of net losses is -6327 ( 6327 ) ;"], ["table_8", "( in millions of u.s . dollars ) the other ( including foreign exchange revaluation ) of gross losses is -1367 ( 1367 ) ; the other ( including foreign exchange revaluation ) of reinsurance recoverable is -387 ( 387 ) ; the other ( including foreign exchange revaluation ) of net losses is -980 ( 980 ) ;"], ["table_9", "( in millions of u.s . dollars ) the losses and loss expenses acquired of gross losses is 386 ; the losses and loss expenses acquired of reinsurance recoverable is 33 ; the losses and loss expenses acquired of net losses is 353 ;"]]}, "answers": ["650"]}, "rejected_source": {"id": "CB/2008/page_83.pdf-1", "qa": {"question": "what are is the net change in the balance of unpaid losses during 2007?", "answer": "1584", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "7351", "arg2": "-5934", "res": "1417"}, {"op": "add1-2", "arg1": "#0", "arg2": "167", "res": "1584"}], "program": "add(7351, -5934), add(#0, 167)", "gold_inds": {"table_1": "( in millions of u.s . dollars ) the balance at december 31 2006 of gross losses is $ 35517 ; the balance at december 31 2006 of reinsurance recoverable is $ 13509 ; the balance at december 31 2006 of net losses is $ 22008 ;", "table_2": "( in millions of u.s . dollars ) the losses and loss expenses incurred of gross losses is 10831 ; the losses and loss expenses incurred of reinsurance recoverable is 3480 ; the losses and loss expenses incurred of net losses is 7351 ;", "table_3": "( in millions of u.s . dollars ) the losses and loss expenses paid of gross losses is -9516 ( 9516 ) ; the losses and loss expenses paid of reinsurance recoverable is -3582 ( 3582 ) ; the losses and loss expenses paid of net losses is -5934 ( 5934 ) ;", "table_4": "( in millions of u.s . dollars ) the other ( including foreign exchange revaluation ) of gross losses is 280 ; the other ( including foreign exchange revaluation ) of reinsurance recoverable is 113 ; the other ( including foreign exchange revaluation ) of net losses is 167 ;"}, "exe_ans": 1584.0, "tfidftopn": {}, "program_re": "add(add(7351, -5934), 167)", "model_input": [["table_1", "( in millions of u.s . dollars ) the balance at december 31 2006 of gross losses is $ 35517 ; the balance at december 31 2006 of reinsurance recoverable is $ 13509 ; the balance at december 31 2006 of net losses is $ 22008 ;"], ["table_2", "( in millions of u.s . dollars ) the losses and loss expenses incurred of gross losses is 10831 ; the losses and loss expenses incurred of reinsurance recoverable is 3480 ; the losses and loss expenses incurred of net losses is 7351 ;"], ["table_3", "( in millions of u.s . dollars ) the losses and loss expenses paid of gross losses is -9516 ( 9516 ) ; the losses and loss expenses paid of reinsurance recoverable is -3582 ( 3582 ) ; the losses and loss expenses paid of net losses is -5934 ( 5934 ) ;"], ["table_4", "( in millions of u.s . dollars ) the other ( including foreign exchange revaluation ) of gross losses is 280 ; the other ( including foreign exchange revaluation ) of reinsurance recoverable is 113 ; the other ( including foreign exchange revaluation ) of net losses is 167 ;"]]}, "answers": ["1584"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001271", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating expenses in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "12.0%.", "rejected": "3.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in operating expenses <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in operating expenses <TIME>?", "original_question": "what is the growth rate in operating expenses in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.1%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "12.0%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_70.pdf-1", "qa": {"question": "what is the growth rate in operating expenses in 2018?", "answer": "12.0%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "23461", "arg2": "20941", "res": "2520"}, {"op": "divide1-2", "arg1": "#0", "arg2": "20941", "res": "12.0%"}], "program": "subtract(23461, 20941), divide(#0, 20941)", "gold_inds": {"table_9": "$ in millions the total operating expenses of year ended december 2018 is $ 23461 ; the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ;"}, "exe_ans": 0.12034, "tfidftopn": {"text_31": "the increase in operating expenses compared with 2016 was primarily driven by slightly higher compensation and benefits expenses and our investments to fund growth .", "text_5": "operating expenses our operating expenses are primarily influenced by compensation , headcount and levels of business activity ."}, "program_re": "divide(subtract(23461, 20941), 20941)", "model_input": [["table_9", "$ in millions the total operating expenses of year ended december 2018 is $ 23461 ; the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ;"], ["text_16", "operating expenses in the consolidated statements of earnings were $ 23.46 billion for 2018 , 12% ( 12 % ) higher than 2017 ."], ["text_29", "operating expenses in the consolidated statements of earnings were $ 20.94 billion for 2017 , 3% ( 3 % ) higher than 2016 ."]]}, "answers": ["12.0%"]}, "rejected_source": {"id": "GS/2018/page_70.pdf-2", "qa": {"question": "what is the growth rate in operating expenses in 2017?", "answer": "3.1%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20941", "arg2": "20304", "res": "637"}, {"op": "divide2-2", "arg1": "#0", "arg2": "20304", "res": "3.1%"}], "program": "subtract(20941, 20304), divide(#0, 20304)", "gold_inds": {"table_9": "$ in millions the total operating expenses of year ended december 2018 is $ 23461 ; the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ;"}, "exe_ans": 0.03137, "tfidftopn": {"text_31": "the increase in operating expenses compared with 2016 was primarily driven by slightly higher compensation and benefits expenses and our investments to fund growth .", "text_5": "operating expenses our operating expenses are primarily influenced by compensation , headcount and levels of business activity ."}, "program_re": "divide(subtract(20941, 20304), 20304)", "model_input": [["table_9", "$ in millions the total operating expenses of year ended december 2018 is $ 23461 ; the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ;"], ["text_16", "operating expenses in the consolidated statements of earnings were $ 23.46 billion for 2018 , 12% ( 12 % ) higher than 2017 ."], ["text_29", "operating expenses in the consolidated statements of earnings were $ 20.94 billion for 2017 , 3% ( 3 % ) higher than 2016 ."]]}, "answers": ["3.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001272", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating expenses in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "3.1%.", "rejected": "12.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "GS || what is the growth rate in operating expenses <TIME>?", "doc_prefix": "GS", "base_question": "what is the growth rate in operating expenses <TIME>?", "original_question": "what is the growth rate in operating expenses in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.1%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "12.0%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "GS/2018/page_70.pdf-2", "qa": {"question": "what is the growth rate in operating expenses in 2017?", "answer": "3.1%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "20941", "arg2": "20304", "res": "637"}, {"op": "divide2-2", "arg1": "#0", "arg2": "20304", "res": "3.1%"}], "program": "subtract(20941, 20304), divide(#0, 20304)", "gold_inds": {"table_9": "$ in millions the total operating expenses of year ended december 2018 is $ 23461 ; the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ;"}, "exe_ans": 0.03137, "tfidftopn": {"text_31": "the increase in operating expenses compared with 2016 was primarily driven by slightly higher compensation and benefits expenses and our investments to fund growth .", "text_5": "operating expenses our operating expenses are primarily influenced by compensation , headcount and levels of business activity ."}, "program_re": "divide(subtract(20941, 20304), 20304)", "model_input": [["table_9", "$ in millions the total operating expenses of year ended december 2018 is $ 23461 ; the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ;"], ["text_16", "operating expenses in the consolidated statements of earnings were $ 23.46 billion for 2018 , 12% ( 12 % ) higher than 2017 ."], ["text_29", "operating expenses in the consolidated statements of earnings were $ 20.94 billion for 2017 , 3% ( 3 % ) higher than 2016 ."]]}, "answers": ["3.1%"]}, "rejected_source": {"id": "GS/2018/page_70.pdf-1", "qa": {"question": "what is the growth rate in operating expenses in 2018?", "answer": "12.0%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "23461", "arg2": "20941", "res": "2520"}, {"op": "divide1-2", "arg1": "#0", "arg2": "20941", "res": "12.0%"}], "program": "subtract(23461, 20941), divide(#0, 20941)", "gold_inds": {"table_9": "$ in millions the total operating expenses of year ended december 2018 is $ 23461 ; the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ;"}, "exe_ans": 0.12034, "tfidftopn": {"text_31": "the increase in operating expenses compared with 2016 was primarily driven by slightly higher compensation and benefits expenses and our investments to fund growth .", "text_5": "operating expenses our operating expenses are primarily influenced by compensation , headcount and levels of business activity ."}, "program_re": "divide(subtract(23461, 20941), 20941)", "model_input": [["table_9", "$ in millions the total operating expenses of year ended december 2018 is $ 23461 ; the total operating expenses of year ended december 2017 is $ 20941 ; the total operating expenses of year ended december 2016 is $ 20304 ;"], ["text_16", "operating expenses in the consolidated statements of earnings were $ 23.46 billion for 2018 , 12% ( 12 % ) higher than 2017 ."], ["text_29", "operating expenses in the consolidated statements of earnings were $ 20.94 billion for 2017 , 3% ( 3 % ) higher than 2016 ."]]}, "answers": ["12.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001273", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what will be the balance of aggregate principal payments of long-term debt as of december 31 , 2005 , assuming that no new debt is issued?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "3168159.", "rejected": "3283603.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what will be the balance of aggregate principal payments of long-term debt as of december 31 , <TIME> , assuming that no new debt is issued?", "doc_prefix": "AMT", "base_question": "what will be the balance of aggregate principal payments of long-term debt as of december 31 , <TIME> , assuming that no new debt is issued?", "original_question": "what will be the balance of aggregate principal payments of long-term debt as of december 31 , 2005 , assuming that no new debt is issued?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3283603": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "3168159": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "AMT/2003/page_85.pdf-2", "qa": {"question": "what will be the balance of aggregate principal payments of long-term debt as of december 31 , 2005 , assuming that no new debt is issued?", "answer": "3168159", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3361225", "arg2": "77622", "res": "3283603"}, {"op": "minus2-2", "arg1": "#0", "arg2": "115444", "res": "3168159"}], "program": "subtract(3361225, 77622), subtract(#0, 115444)", "gold_inds": {"table_1": "2004 the 2005 of $ 77622 is 115444 ;", "table_9": "2004 the balance as of december 31 2003 of $ 77622 is $ 3361225 ;"}, "exe_ans": 3168159.0, "tfidftopn": {"text_0": "american tower corporation and subsidiaries notes to consolidated financial statements 2014 ( continued ) maturities 2014as of december 31 , 2003 , aggregate principal payments of long-term debt , including capital leases , for the next five years and thereafter are estimated to be ( in thousands ) : year ending december 31 ."}, "program_re": "subtract(subtract(3361225, 77622), 115444)", "model_input": [["text_0", "american tower corporation and subsidiaries notes to consolidated financial statements 2014 ( continued ) maturities 2014as of december 31 , 2003 , aggregate principal payments of long-term debt , including capital leases , for the next five years and thereafter are estimated to be ( in thousands ) : year ending december 31 ."], ["table_1", "2004 the 2005 of $ 77622 is 115444 ;"], ["table_9", "2004 the balance as of december 31 2003 of $ 77622 is $ 3361225 ;"]]}, "answers": ["3168159"]}, "rejected_source": {"id": "AMT/2003/page_85.pdf-3", "qa": {"question": "what will be the balance of aggregate principal payments of long-term debt as of december 31 , 2004 , assuming that no new debt is issued?", "answer": "3283603", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "3361225", "arg2": "77622", "res": "3283603"}], "program": "subtract(3361225, 77622)", "gold_inds": {"table_9": "2004 the balance as of december 31 2003 of $ 77622 is $ 3361225 ;"}, "exe_ans": 3283603.0, "tfidftopn": {"text_0": "american tower corporation and subsidiaries notes to consolidated financial statements 2014 ( continued ) maturities 2014as of december 31 , 2003 , aggregate principal payments of long-term debt , including capital leases , for the next five years and thereafter are estimated to be ( in thousands ) : year ending december 31 .", "text_9": "as of december 31 , 2003 and 2002 , liabilities related to derivative financial instruments of $ 0.0 million and $ 15.5 million are reflected in other long-term liabilities in the accompanying consolidated balance sheet ."}, "program_re": "subtract(3361225, 77622)", "model_input": [["text_0", "american tower corporation and subsidiaries notes to consolidated financial statements 2014 ( continued ) maturities 2014as of december 31 , 2003 , aggregate principal payments of long-term debt , including capital leases , for the next five years and thereafter are estimated to be ( in thousands ) : year ending december 31 ."], ["table_0", "2004 the 2004 of $ 77622 is $ 77622 ;"], ["table_9", "2004 the balance as of december 31 2003 of $ 77622 is $ 3361225 ;"]]}, "answers": ["3283603"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001274", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what will be the balance of aggregate principal payments of long-term debt as of december 31 , 2004 , assuming that no new debt is issued?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "3283603.", "rejected": "3168159.", "meta": {"dataset": "finqa", "split": "train", "group_key": "AMT || what will be the balance of aggregate principal payments of long-term debt as of december 31 , <TIME> , assuming that no new debt is issued?", "doc_prefix": "AMT", "base_question": "what will be the balance of aggregate principal payments of long-term debt as of december 31 , <TIME> , assuming that no new debt is issued?", "original_question": "what will be the balance of aggregate principal payments of long-term debt as of december 31 , 2004 , assuming that no new debt is issued?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3283603": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "3168159": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "AMT/2003/page_85.pdf-3", "qa": {"question": "what will be the balance of aggregate principal payments of long-term debt as of december 31 , 2004 , assuming that no new debt is issued?", "answer": "3283603", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "3361225", "arg2": "77622", "res": "3283603"}], "program": "subtract(3361225, 77622)", "gold_inds": {"table_9": "2004 the balance as of december 31 2003 of $ 77622 is $ 3361225 ;"}, "exe_ans": 3283603.0, "tfidftopn": {"text_0": "american tower corporation and subsidiaries notes to consolidated financial statements 2014 ( continued ) maturities 2014as of december 31 , 2003 , aggregate principal payments of long-term debt , including capital leases , for the next five years and thereafter are estimated to be ( in thousands ) : year ending december 31 .", "text_9": "as of december 31 , 2003 and 2002 , liabilities related to derivative financial instruments of $ 0.0 million and $ 15.5 million are reflected in other long-term liabilities in the accompanying consolidated balance sheet ."}, "program_re": "subtract(3361225, 77622)", "model_input": [["text_0", "american tower corporation and subsidiaries notes to consolidated financial statements 2014 ( continued ) maturities 2014as of december 31 , 2003 , aggregate principal payments of long-term debt , including capital leases , for the next five years and thereafter are estimated to be ( in thousands ) : year ending december 31 ."], ["table_0", "2004 the 2004 of $ 77622 is $ 77622 ;"], ["table_9", "2004 the balance as of december 31 2003 of $ 77622 is $ 3361225 ;"]]}, "answers": ["3283603"]}, "rejected_source": {"id": "AMT/2003/page_85.pdf-2", "qa": {"question": "what will be the balance of aggregate principal payments of long-term debt as of december 31 , 2005 , assuming that no new debt is issued?", "answer": "3168159", "explanation": "", "ann_table_rows": [1, 9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3361225", "arg2": "77622", "res": "3283603"}, {"op": "minus2-2", "arg1": "#0", "arg2": "115444", "res": "3168159"}], "program": "subtract(3361225, 77622), subtract(#0, 115444)", "gold_inds": {"table_1": "2004 the 2005 of $ 77622 is 115444 ;", "table_9": "2004 the balance as of december 31 2003 of $ 77622 is $ 3361225 ;"}, "exe_ans": 3168159.0, "tfidftopn": {"text_0": "american tower corporation and subsidiaries notes to consolidated financial statements 2014 ( continued ) maturities 2014as of december 31 , 2003 , aggregate principal payments of long-term debt , including capital leases , for the next five years and thereafter are estimated to be ( in thousands ) : year ending december 31 ."}, "program_re": "subtract(subtract(3361225, 77622), 115444)", "model_input": [["text_0", "american tower corporation and subsidiaries notes to consolidated financial statements 2014 ( continued ) maturities 2014as of december 31 , 2003 , aggregate principal payments of long-term debt , including capital leases , for the next five years and thereafter are estimated to be ( in thousands ) : year ending december 31 ."], ["table_1", "2004 the 2005 of $ 77622 is 115444 ;"], ["table_9", "2004 the balance as of december 31 2003 of $ 77622 is $ 3361225 ;"]]}, "answers": ["3168159"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001275", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of foreign pretax earnings in 2008 were from discontinued operations?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "50%.", "rejected": "8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percent of foreign pretax earnings <TIME> were from discontinued operations?", "doc_prefix": "C", "base_question": "what percent of foreign pretax earnings <TIME> were from discontinued operations?", "original_question": "what percent of foreign pretax earnings in 2008 were from discontinued operations?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "50%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "C/2008/page_159.pdf-1", "qa": {"question": "what percent of foreign pretax earnings in 2008 were from discontinued operations?", "answer": "50%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "divide1-1", "arg1": "5.1", "arg2": "10.3", "res": "50%"}], "program": "divide(5.1, 10.3)", "gold_inds": {"text_14": "foreign pretax earnings approximated $ 10.3 billion in 2008 , $ 9.1 billion in 2007 , and $ 13.6 billion in 2006 ( $ 5.1 billion , $ 0.7 billion and $ 0.9 billion of which , respectively , are in discontinued operations ) ."}, "exe_ans": 0.49515, "tfidftopn": {"text_18": "taxation currently on all foreign pretax earnings earned by a foreign branch .", "text_19": "pretax earnings of a foreign subsidiary or affiliate are subject to u.s ."}, "program_re": "divide(5.1, 10.3)", "model_input": [["text_13", "the following are the major tax jurisdictions in which the company and its affiliates operate and the earliest tax year subject to examination: ."], ["text_14", "foreign pretax earnings approximated $ 10.3 billion in 2008 , $ 9.1 billion in 2007 , and $ 13.6 billion in 2006 ( $ 5.1 billion , $ 0.7 billion and $ 0.9 billion of which , respectively , are in discontinued operations ) ."], ["text_18", "taxation currently on all foreign pretax earnings earned by a foreign branch ."]]}, "answers": ["50%"]}, "rejected_source": {"id": "C/2008/page_159.pdf-4", "qa": {"question": "what percent of foreign pretax earnings in 2007 were from discontinued operations?", "answer": "8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "0.7", "arg2": "9.1", "res": "8%"}], "program": "divide(0.7, 9.1)", "gold_inds": {"text_14": "foreign pretax earnings approximated $ 10.3 billion in 2008 , $ 9.1 billion in 2007 , and $ 13.6 billion in 2006 ( $ 5.1 billion , $ 0.7 billion and $ 0.9 billion of which , respectively , are in discontinued operations ) ."}, "exe_ans": 0.07692, "tfidftopn": {"text_18": "taxation currently on all foreign pretax earnings earned by a foreign branch .", "text_19": "pretax earnings of a foreign subsidiary or affiliate are subject to u.s ."}, "program_re": "divide(0.7, 9.1)", "model_input": [["text_14", "foreign pretax earnings approximated $ 10.3 billion in 2008 , $ 9.1 billion in 2007 , and $ 13.6 billion in 2006 ( $ 5.1 billion , $ 0.7 billion and $ 0.9 billion of which , respectively , are in discontinued operations ) ."], ["text_18", "taxation currently on all foreign pretax earnings earned by a foreign branch ."], ["text_42", "federal dtas , $ 4 billion of net state dtas and $ 4 billion of net foreign dtas ."]]}, "answers": ["8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001276", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of foreign pretax earnings in 2007 were from discontinued operations?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "8%.", "rejected": "50%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "C || what percent of foreign pretax earnings <TIME> were from discontinued operations?", "doc_prefix": "C", "base_question": "what percent of foreign pretax earnings <TIME> were from discontinued operations?", "original_question": "what percent of foreign pretax earnings in 2007 were from discontinued operations?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"8%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "50%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "C/2008/page_159.pdf-4", "qa": {"question": "what percent of foreign pretax earnings in 2007 were from discontinued operations?", "answer": "8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "0.7", "arg2": "9.1", "res": "8%"}], "program": "divide(0.7, 9.1)", "gold_inds": {"text_14": "foreign pretax earnings approximated $ 10.3 billion in 2008 , $ 9.1 billion in 2007 , and $ 13.6 billion in 2006 ( $ 5.1 billion , $ 0.7 billion and $ 0.9 billion of which , respectively , are in discontinued operations ) ."}, "exe_ans": 0.07692, "tfidftopn": {"text_18": "taxation currently on all foreign pretax earnings earned by a foreign branch .", "text_19": "pretax earnings of a foreign subsidiary or affiliate are subject to u.s ."}, "program_re": "divide(0.7, 9.1)", "model_input": [["text_14", "foreign pretax earnings approximated $ 10.3 billion in 2008 , $ 9.1 billion in 2007 , and $ 13.6 billion in 2006 ( $ 5.1 billion , $ 0.7 billion and $ 0.9 billion of which , respectively , are in discontinued operations ) ."], ["text_18", "taxation currently on all foreign pretax earnings earned by a foreign branch ."], ["text_42", "federal dtas , $ 4 billion of net state dtas and $ 4 billion of net foreign dtas ."]]}, "answers": ["8%"]}, "rejected_source": {"id": "C/2008/page_159.pdf-1", "qa": {"question": "what percent of foreign pretax earnings in 2008 were from discontinued operations?", "answer": "50%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "divide1-1", "arg1": "5.1", "arg2": "10.3", "res": "50%"}], "program": "divide(5.1, 10.3)", "gold_inds": {"text_14": "foreign pretax earnings approximated $ 10.3 billion in 2008 , $ 9.1 billion in 2007 , and $ 13.6 billion in 2006 ( $ 5.1 billion , $ 0.7 billion and $ 0.9 billion of which , respectively , are in discontinued operations ) ."}, "exe_ans": 0.49515, "tfidftopn": {"text_18": "taxation currently on all foreign pretax earnings earned by a foreign branch .", "text_19": "pretax earnings of a foreign subsidiary or affiliate are subject to u.s ."}, "program_re": "divide(5.1, 10.3)", "model_input": [["text_13", "the following are the major tax jurisdictions in which the company and its affiliates operate and the earliest tax year subject to examination: ."], ["text_14", "foreign pretax earnings approximated $ 10.3 billion in 2008 , $ 9.1 billion in 2007 , and $ 13.6 billion in 2006 ( $ 5.1 billion , $ 0.7 billion and $ 0.9 billion of which , respectively , are in discontinued operations ) ."], ["text_18", "taxation currently on all foreign pretax earnings earned by a foreign branch ."]]}, "answers": ["50%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001277", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in the initial health care trend rate and the ultimate trend rate in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "3.30%.", "rejected": "3.75%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MRO || what was the difference in the initial health care trend rate and the ultimate trend rate <TIME>?", "doc_prefix": "MRO", "base_question": "what was the difference in the initial health care trend rate and the ultimate trend rate <TIME>?", "original_question": "what was the difference in the initial health care trend rate and the ultimate trend rate in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.75%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "3.30%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MRO/2018/page_96.pdf-1", "qa": {"question": "what was the difference in the initial health care trend rate and the ultimate trend rate in 2017?", "answer": "3.30%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "8.00%", "arg2": "4.70%", "res": "3.30%"}], "program": "subtract(8.00%, 4.70%)", "gold_inds": {"table_1": "the initial health care trend rate of 2018 is n/a ; the initial health care trend rate of 2017 is 8.00% ( 8.00 % ) ; the initial health care trend rate of 2016 is 8.25% ( 8.25 % ) ;", "table_2": "the ultimate trend rate of 2018 is n/a ; the ultimate trend rate of 2017 is 4.70% ( 4.70 % ) ; the ultimate trend rate of 2016 is 4.50% ( 4.50 % ) ;"}, "exe_ans": 0.033, "tfidftopn": {"table_3": "The year ultimate trend rate is reached of 2018 is n/a ; The year ultimate trend rate is reached of 2017 is 2025 ; The year ultimate trend rate is reached of 2016 is 2025 ;"}, "program_re": "subtract(8.00%, 4.70%)", "model_input": [["text_5", "assumed weighted average health care cost trend rates ."], ["table_1", "the initial health care trend rate of 2018 is n/a ; the initial health care trend rate of 2017 is 8.00% ( 8.00 % ) ; the initial health care trend rate of 2016 is 8.25% ( 8.25 % ) ;"], ["table_2", "the ultimate trend rate of 2018 is n/a ; the ultimate trend rate of 2017 is 4.70% ( 4.70 % ) ; the ultimate trend rate of 2016 is 4.50% ( 4.50 % ) ;"]]}, "answers": ["3.30%"]}, "rejected_source": {"id": "MRO/2018/page_96.pdf-2", "qa": {"question": "what was the difference in the initial health care trend rate and the ultimate trend rate in 2016?", "answer": "3.75%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "8.25%", "arg2": "4.50%", "res": "3.75%"}], "program": "subtract(8.25%, 4.50%)", "gold_inds": {"table_1": "the initial health care trend rate of 2018 is n/a ; the initial health care trend rate of 2017 is 8.00% ( 8.00 % ) ; the initial health care trend rate of 2016 is 8.25% ( 8.25 % ) ;", "table_2": "the ultimate trend rate of 2018 is n/a ; the ultimate trend rate of 2017 is 4.70% ( 4.70 % ) ; the ultimate trend rate of 2016 is 4.50% ( 4.50 % ) ;"}, "exe_ans": 0.0375, "tfidftopn": {"table_3": "The year ultimate trend rate is reached of 2018 is n/a ; The year ultimate trend rate is reached of 2017 is 2025 ; The year ultimate trend rate is reached of 2016 is 2025 ;"}, "program_re": "subtract(8.25%, 4.50%)", "model_input": [["text_5", "assumed weighted average health care cost trend rates ."], ["table_1", "the initial health care trend rate of 2018 is n/a ; the initial health care trend rate of 2017 is 8.00% ( 8.00 % ) ; the initial health care trend rate of 2016 is 8.25% ( 8.25 % ) ;"], ["table_2", "the ultimate trend rate of 2018 is n/a ; the ultimate trend rate of 2017 is 4.70% ( 4.70 % ) ; the ultimate trend rate of 2016 is 4.50% ( 4.50 % ) ;"]]}, "answers": ["3.75%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001278", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in the initial health care trend rate and the ultimate trend rate in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "3.75%.", "rejected": "3.30%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MRO || what was the difference in the initial health care trend rate and the ultimate trend rate <TIME>?", "doc_prefix": "MRO", "base_question": "what was the difference in the initial health care trend rate and the ultimate trend rate <TIME>?", "original_question": "what was the difference in the initial health care trend rate and the ultimate trend rate in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"3.75%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "3.30%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MRO/2018/page_96.pdf-2", "qa": {"question": "what was the difference in the initial health care trend rate and the ultimate trend rate in 2016?", "answer": "3.75%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "8.25%", "arg2": "4.50%", "res": "3.75%"}], "program": "subtract(8.25%, 4.50%)", "gold_inds": {"table_1": "the initial health care trend rate of 2018 is n/a ; the initial health care trend rate of 2017 is 8.00% ( 8.00 % ) ; the initial health care trend rate of 2016 is 8.25% ( 8.25 % ) ;", "table_2": "the ultimate trend rate of 2018 is n/a ; the ultimate trend rate of 2017 is 4.70% ( 4.70 % ) ; the ultimate trend rate of 2016 is 4.50% ( 4.50 % ) ;"}, "exe_ans": 0.0375, "tfidftopn": {"table_3": "The year ultimate trend rate is reached of 2018 is n/a ; The year ultimate trend rate is reached of 2017 is 2025 ; The year ultimate trend rate is reached of 2016 is 2025 ;"}, "program_re": "subtract(8.25%, 4.50%)", "model_input": [["text_5", "assumed weighted average health care cost trend rates ."], ["table_1", "the initial health care trend rate of 2018 is n/a ; the initial health care trend rate of 2017 is 8.00% ( 8.00 % ) ; the initial health care trend rate of 2016 is 8.25% ( 8.25 % ) ;"], ["table_2", "the ultimate trend rate of 2018 is n/a ; the ultimate trend rate of 2017 is 4.70% ( 4.70 % ) ; the ultimate trend rate of 2016 is 4.50% ( 4.50 % ) ;"]]}, "answers": ["3.75%"]}, "rejected_source": {"id": "MRO/2018/page_96.pdf-1", "qa": {"question": "what was the difference in the initial health care trend rate and the ultimate trend rate in 2017?", "answer": "3.30%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "8.00%", "arg2": "4.70%", "res": "3.30%"}], "program": "subtract(8.00%, 4.70%)", "gold_inds": {"table_1": "the initial health care trend rate of 2018 is n/a ; the initial health care trend rate of 2017 is 8.00% ( 8.00 % ) ; the initial health care trend rate of 2016 is 8.25% ( 8.25 % ) ;", "table_2": "the ultimate trend rate of 2018 is n/a ; the ultimate trend rate of 2017 is 4.70% ( 4.70 % ) ; the ultimate trend rate of 2016 is 4.50% ( 4.50 % ) ;"}, "exe_ans": 0.033, "tfidftopn": {"table_3": "The year ultimate trend rate is reached of 2018 is n/a ; The year ultimate trend rate is reached of 2017 is 2025 ; The year ultimate trend rate is reached of 2016 is 2025 ;"}, "program_re": "subtract(8.00%, 4.70%)", "model_input": [["text_5", "assumed weighted average health care cost trend rates ."], ["table_1", "the initial health care trend rate of 2018 is n/a ; the initial health care trend rate of 2017 is 8.00% ( 8.00 % ) ; the initial health care trend rate of 2016 is 8.25% ( 8.25 % ) ;"], ["table_2", "the ultimate trend rate of 2018 is n/a ; the ultimate trend rate of 2017 is 4.70% ( 4.70 % ) ; the ultimate trend rate of 2016 is 4.50% ( 4.50 % ) ;"]]}, "answers": ["3.30%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001279", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in free cash flow between 2004 and 2005 in millions?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-72.8.", "rejected": "-84.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the difference in free cash flow <TIME> in millions?", "doc_prefix": "BLL", "base_question": "what was the difference in free cash flow <TIME> in millions?", "original_question": "what was the difference in free cash flow between 2004 and 2005 in millions?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-72.8": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "-84": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}]}, "chosen_source": {"id": "BLL/2006/page_45.pdf-2", "qa": {"question": "what was the difference in free cash flow between 2004 and 2005 in millions?", "answer": "-72.8", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "267.1", "arg2": "339.9", "res": "-72.8"}], "program": "subtract(267.1, 339.9)", "gold_inds": {"table_4": "( $ in millions ) the free cash flow of 2006 is $ 183.1 ; the free cash flow of 2005 is $ 267.1 ; the free cash flow of 2004 is $ 339.9 ;"}, "exe_ans": -72.8, "tfidftopn": {"text_12": "free cash flow is not a defined term under u.s .", "text_14": "the company defines free cash flow as cash flow from operating activities less additions to property , plant and equipment ( capital spending ) ."}, "program_re": "subtract(267.1, 339.9)", "model_input": [["text_17", "based on this , our consolidated free cash flow is summarized as follows: ."], ["table_1", "( $ in millions ) the cash flows from operating activities of 2006 is $ 401.4 ; the cash flows from operating activities of 2005 is $ 558.8 ; the cash flows from operating activities of 2004 is $ 535.9 ;"], ["table_4", "( $ in millions ) the free cash flow of 2006 is $ 183.1 ; the free cash flow of 2005 is $ 267.1 ; the free cash flow of 2004 is $ 339.9 ;"]]}, "answers": ["-72.8"]}, "rejected_source": {"id": "BLL/2006/page_45.pdf-4", "qa": {"question": "what was the difference in free cash flow between 2005 and 2006 in millions?", "answer": "-84", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "183.1", "arg2": "267.1", "res": "-84"}], "program": "subtract(183.1, 267.1)", "gold_inds": {"table_4": "( $ in millions ) the free cash flow of 2006 is $ 183.1 ; the free cash flow of 2005 is $ 267.1 ; the free cash flow of 2004 is $ 339.9 ;"}, "exe_ans": -84.0, "tfidftopn": {"text_12": "free cash flow is not a defined term under u.s .", "text_14": "the company defines free cash flow as cash flow from operating activities less additions to property , plant and equipment ( capital spending ) ."}, "program_re": "subtract(183.1, 267.1)", "model_input": [["text_17", "based on this , our consolidated free cash flow is summarized as follows: ."], ["table_1", "( $ in millions ) the cash flows from operating activities of 2006 is $ 401.4 ; the cash flows from operating activities of 2005 is $ 558.8 ; the cash flows from operating activities of 2004 is $ 535.9 ;"], ["table_4", "( $ in millions ) the free cash flow of 2006 is $ 183.1 ; the free cash flow of 2005 is $ 267.1 ; the free cash flow of 2004 is $ 339.9 ;"]]}, "answers": ["-84"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001280", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in free cash flow between 2005 and 2006 in millions?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "-84.", "rejected": "-72.8.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLL || what was the difference in free cash flow <TIME> in millions?", "doc_prefix": "BLL", "base_question": "what was the difference in free cash flow <TIME> in millions?", "original_question": "what was the difference in free cash flow between 2005 and 2006 in millions?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-72.8": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "-84": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}]}, "chosen_source": {"id": "BLL/2006/page_45.pdf-4", "qa": {"question": "what was the difference in free cash flow between 2005 and 2006 in millions?", "answer": "-84", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "183.1", "arg2": "267.1", "res": "-84"}], "program": "subtract(183.1, 267.1)", "gold_inds": {"table_4": "( $ in millions ) the free cash flow of 2006 is $ 183.1 ; the free cash flow of 2005 is $ 267.1 ; the free cash flow of 2004 is $ 339.9 ;"}, "exe_ans": -84.0, "tfidftopn": {"text_12": "free cash flow is not a defined term under u.s .", "text_14": "the company defines free cash flow as cash flow from operating activities less additions to property , plant and equipment ( capital spending ) ."}, "program_re": "subtract(183.1, 267.1)", "model_input": [["text_17", "based on this , our consolidated free cash flow is summarized as follows: ."], ["table_1", "( $ in millions ) the cash flows from operating activities of 2006 is $ 401.4 ; the cash flows from operating activities of 2005 is $ 558.8 ; the cash flows from operating activities of 2004 is $ 535.9 ;"], ["table_4", "( $ in millions ) the free cash flow of 2006 is $ 183.1 ; the free cash flow of 2005 is $ 267.1 ; the free cash flow of 2004 is $ 339.9 ;"]]}, "answers": ["-84"]}, "rejected_source": {"id": "BLL/2006/page_45.pdf-2", "qa": {"question": "what was the difference in free cash flow between 2004 and 2005 in millions?", "answer": "-72.8", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "267.1", "arg2": "339.9", "res": "-72.8"}], "program": "subtract(267.1, 339.9)", "gold_inds": {"table_4": "( $ in millions ) the free cash flow of 2006 is $ 183.1 ; the free cash flow of 2005 is $ 267.1 ; the free cash flow of 2004 is $ 339.9 ;"}, "exe_ans": -72.8, "tfidftopn": {"text_12": "free cash flow is not a defined term under u.s .", "text_14": "the company defines free cash flow as cash flow from operating activities less additions to property , plant and equipment ( capital spending ) ."}, "program_re": "subtract(267.1, 339.9)", "model_input": [["text_17", "based on this , our consolidated free cash flow is summarized as follows: ."], ["table_1", "( $ in millions ) the cash flows from operating activities of 2006 is $ 401.4 ; the cash flows from operating activities of 2005 is $ 558.8 ; the cash flows from operating activities of 2004 is $ 535.9 ;"], ["table_4", "( $ in millions ) the free cash flow of 2006 is $ 183.1 ; the free cash flow of 2005 is $ 267.1 ; the free cash flow of 2004 is $ 339.9 ;"]]}, "answers": ["-72.8"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001281", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-18%.", "rejected": "28%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2008/page_71.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2006 to 2007?", "answer": "-18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "68", "arg2": "83", "res": "-15"}, {"op": "divide1-2", "arg1": "#0", "arg2": "83", "res": "-18%"}], "program": "subtract(68, 83), divide(#0, 83)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": -0.18072, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(68, 83), 83)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["-18%"]}, "rejected_source": {"id": "UNP/2008/page_71.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2007 to 2008?", "answer": "28%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "87", "arg2": "68", "res": "19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "68", "res": "28%"}], "program": "subtract(87, 68), divide(#0, 68)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": 0.27941, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(87, 68), 68)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["28%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001282", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-18%.", "rejected": "41%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2008/page_71.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2006 to 2007?", "answer": "-18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "68", "arg2": "83", "res": "-15"}, {"op": "divide1-2", "arg1": "#0", "arg2": "83", "res": "-18%"}], "program": "subtract(68, 83), divide(#0, 83)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": -0.18072, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(68, 83), 83)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["-18%"]}, "rejected_source": {"id": "UNP/2006/page_74.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2005 to 2006?", "answer": "41%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "83", "arg2": "59", "res": "24"}, {"op": "divide2-2", "arg1": "#0", "arg2": "59", "res": "41%"}], "program": "subtract(83, 59), divide(#0, 59)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.40678, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(83, 59), 59)", "model_input": [["text_8", "we entered into these contingent guarantees in the normal course of business , and they include guaranteed obligations related to our headquarters building , equipment financings , and affiliated operations ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["41%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001283", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-18%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2008/page_71.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2006 to 2007?", "answer": "-18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "68", "arg2": "83", "res": "-15"}, {"op": "divide1-2", "arg1": "#0", "arg2": "83", "res": "-18%"}], "program": "subtract(68, 83), divide(#0, 83)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": -0.18072, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(68, 83), 83)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["-18%"]}, "rejected_source": {"id": "UNP/2006/page_74.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2004 to 2005?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "59", "arg2": "55", "res": "4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "55", "res": "7%"}], "program": "subtract(59, 55), divide(#0, 55)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.07273, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(59, 55), 55)", "model_input": [["text_22", "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001284", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "28%.", "rejected": "-18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2008/page_71.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2007 to 2008?", "answer": "28%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "87", "arg2": "68", "res": "19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "68", "res": "28%"}], "program": "subtract(87, 68), divide(#0, 68)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": 0.27941, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(87, 68), 68)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["28%"]}, "rejected_source": {"id": "UNP/2008/page_71.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2006 to 2007?", "answer": "-18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "68", "arg2": "83", "res": "-15"}, {"op": "divide1-2", "arg1": "#0", "arg2": "83", "res": "-18%"}], "program": "subtract(68, 83), divide(#0, 83)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": -0.18072, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(68, 83), 83)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["-18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001285", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "28%.", "rejected": "41%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2008/page_71.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2007 to 2008?", "answer": "28%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "87", "arg2": "68", "res": "19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "68", "res": "28%"}], "program": "subtract(87, 68), divide(#0, 68)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": 0.27941, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(87, 68), 68)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["28%"]}, "rejected_source": {"id": "UNP/2006/page_74.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2005 to 2006?", "answer": "41%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "83", "arg2": "59", "res": "24"}, {"op": "divide2-2", "arg1": "#0", "arg2": "59", "res": "41%"}], "program": "subtract(83, 59), divide(#0, 59)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.40678, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(83, 59), 59)", "model_input": [["text_8", "we entered into these contingent guarantees in the normal course of business , and they include guaranteed obligations related to our headquarters building , equipment financings , and affiliated operations ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["41%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001286", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "28%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2008/page_71.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2007 to 2008?", "answer": "28%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "87", "arg2": "68", "res": "19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "68", "res": "28%"}], "program": "subtract(87, 68), divide(#0, 68)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": 0.27941, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(87, 68), 68)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["28%"]}, "rejected_source": {"id": "UNP/2006/page_74.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2004 to 2005?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "59", "arg2": "55", "res": "4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "55", "res": "7%"}], "program": "subtract(59, 55), divide(#0, 55)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.07273, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(59, 55), 55)", "model_input": [["text_22", "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001287", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "41%.", "rejected": "-18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2006/page_74.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2005 to 2006?", "answer": "41%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "83", "arg2": "59", "res": "24"}, {"op": "divide2-2", "arg1": "#0", "arg2": "59", "res": "41%"}], "program": "subtract(83, 59), divide(#0, 59)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.40678, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(83, 59), 59)", "model_input": [["text_8", "we entered into these contingent guarantees in the normal course of business , and they include guaranteed obligations related to our headquarters building , equipment financings , and affiliated operations ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["41%"]}, "rejected_source": {"id": "UNP/2008/page_71.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2006 to 2007?", "answer": "-18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "68", "arg2": "83", "res": "-15"}, {"op": "divide1-2", "arg1": "#0", "arg2": "83", "res": "-18%"}], "program": "subtract(68, 83), divide(#0, 83)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": -0.18072, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(68, 83), 83)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["-18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001288", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "41%.", "rejected": "28%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2006/page_74.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2005 to 2006?", "answer": "41%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "83", "arg2": "59", "res": "24"}, {"op": "divide2-2", "arg1": "#0", "arg2": "59", "res": "41%"}], "program": "subtract(83, 59), divide(#0, 59)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.40678, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(83, 59), 59)", "model_input": [["text_8", "we entered into these contingent guarantees in the normal course of business , and they include guaranteed obligations related to our headquarters building , equipment financings , and affiliated operations ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["41%"]}, "rejected_source": {"id": "UNP/2008/page_71.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2007 to 2008?", "answer": "28%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "87", "arg2": "68", "res": "19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "68", "res": "28%"}], "program": "subtract(87, 68), divide(#0, 68)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": 0.27941, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(87, 68), 68)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["28%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001289", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "41%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2006/page_74.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2005 to 2006?", "answer": "41%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "83", "arg2": "59", "res": "24"}, {"op": "divide2-2", "arg1": "#0", "arg2": "59", "res": "41%"}], "program": "subtract(83, 59), divide(#0, 59)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.40678, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(83, 59), 59)", "model_input": [["text_8", "we entered into these contingent guarantees in the normal course of business , and they include guaranteed obligations related to our headquarters building , equipment financings , and affiliated operations ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["41%"]}, "rejected_source": {"id": "UNP/2006/page_74.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2004 to 2005?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "59", "arg2": "55", "res": "4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "55", "res": "7%"}], "program": "subtract(59, 55), divide(#0, 55)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.07273, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(59, 55), 55)", "model_input": [["text_22", "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001290", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "7%.", "rejected": "-18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2006/page_74.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2004 to 2005?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "59", "arg2": "55", "res": "4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "55", "res": "7%"}], "program": "subtract(59, 55), divide(#0, 55)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.07273, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(59, 55), 55)", "model_input": [["text_22", "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "UNP/2008/page_71.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2006 to 2007?", "answer": "-18%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "68", "arg2": "83", "res": "-15"}, {"op": "divide1-2", "arg1": "#0", "arg2": "83", "res": "-18%"}], "program": "subtract(68, 83), divide(#0, 83)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": -0.18072, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(68, 83), 83)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["-18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001291", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "7%.", "rejected": "28%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2006/page_74.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2004 to 2005?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "59", "arg2": "55", "res": "4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "55", "res": "7%"}], "program": "subtract(59, 55), divide(#0, 55)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.07273, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(59, 55), 55)", "model_input": [["text_22", "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "UNP/2008/page_71.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2007 to 2008?", "answer": "28%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "87", "arg2": "68", "res": "19"}, {"op": "divide2-2", "arg1": "#0", "arg2": "68", "res": "28%"}], "program": "subtract(87, 68), divide(#0, 68)", "gold_inds": {"table_1": "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"}, "exe_ans": 0.27941, "tfidftopn": {"table_3": "millions of dollars The interest income of 2008 is 21 ; The interest income of 2007 is 50 ; The interest income of 2006 is 29 ;", "text_20": "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(87, 68), 68)", "model_input": [["text_20", "other income other income included the following for the years ended december 31 : millions of dollars 2008 2007 2006 ."], ["table_1", "millions of dollars the rental income of 2008 is $ 87 ; the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ;"], ["table_6", "millions of dollars the total of 2008 is $ 92 ; the total of 2007 is $ 116 ; the total of 2006 is $ 118 ;"]]}, "answers": ["28%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001292", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rental income from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "7%.", "rejected": "41%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rental income <TIME>?", "original_question": "what was the percentage change in rental income from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "41%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}], "-18%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "28%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "UNP/2006/page_74.pdf-4", "qa": {"question": "what was the percentage change in rental income from 2004 to 2005?", "answer": "7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "59", "arg2": "55", "res": "4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "55", "res": "7%"}], "program": "subtract(59, 55), divide(#0, 55)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.07273, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(59, 55), 55)", "model_input": [["text_22", "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "UNP/2006/page_74.pdf-3", "qa": {"question": "what was the percentage change in rental income from 2005 to 2006?", "answer": "41%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "83", "arg2": "59", "res": "24"}, {"op": "divide2-2", "arg1": "#0", "arg2": "59", "res": "41%"}], "program": "subtract(83, 59), divide(#0, 59)", "gold_inds": {"table_1": "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"}, "exe_ans": 0.40678, "tfidftopn": {"table_3": "millions of dollars The interest income of 2006 is 29 ; The interest income of 2005 is 17 ; The interest income of 2004 is 10 ;", "text_22": "other income other income included the following for the years ended december 31 : millions of dollars 2006 2005 2004 ."}, "program_re": "divide(subtract(83, 59), 59)", "model_input": [["text_8", "we entered into these contingent guarantees in the normal course of business , and they include guaranteed obligations related to our headquarters building , equipment financings , and affiliated operations ."], ["table_1", "millions of dollars the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ; the rental income of 2004 is $ 55 ;"], ["table_6", "millions of dollars the total of 2006 is $ 118 ; the total of 2005 is $ 145 ; the total of 2004 is $ 88 ;"]]}, "answers": ["41%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001293", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating income from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-2.0%.", "rejected": "15.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the growth rate in operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the growth rate in operating income <TIME>?", "original_question": "what is the growth rate in operating income from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-2.0%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "15.4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "BLK/2017/page_77.pdf-2", "qa": {"question": "what is the growth rate in operating income from 2015 to 2016?", "answer": "-2.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4570", "arg2": "4664", "res": "-94"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4664", "res": "-2.0%"}], "program": "subtract(4570, 4664), divide(#0, 4664)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"}, "exe_ans": -0.02015, "tfidftopn": {"text_13": "2016 .", "text_16": "2015 ."}, "program_re": "divide(subtract(4570, 4664), 4664)", "model_input": [["table_1", "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"], ["text_1", "operating income ( 1 ) $ 5272 $ 4570 $ 4664 $ 5287 $ 4674 $ 4695 total nonoperating income ( expense ) ( 1 ) ( 2 ) ( 32 ) ( 108 ) ( 69 ) ( 32 ) ( 108 ) ( 70 ) income before income taxes ( 2 ) $ 5240 $ 4462 $ 4595 $ 5255 $ 4566 $ 4625 income tax expense ( 3 ) $ 270 $ 1290 $ 1250 $ 1539 $ 1352 $ 1312 effective tax rate ( 3 ) 5.2% ( 5.2 % ) 28.9% ( 28.9 % ) 27.2% ( 27.2 % ) 29.3% ( 29.3 % ) 29.6% ( 29.6 % ) 28.4% ( 28.4 % ) ( 1 ) see non-gaap financial measures for further information on and reconciliation of as adjusted items ."]]}, "answers": ["-2.0%"]}, "rejected_source": {"id": "BLK/2017/page_77.pdf-1", "qa": {"question": "what is the growth rate in operating income from 2016 to 2017?", "answer": "15.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5272", "arg2": "4570", "res": "702"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4570", "res": "15.4%"}], "program": "subtract(5272, 4570), divide(#0, 4570)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"}, "exe_ans": 0.15361, "tfidftopn": {"text_13": "2016 .", "text_7": "2017 ."}, "program_re": "divide(subtract(5272, 4570), 4570)", "model_input": [["table_1", "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"], ["text_1", "operating income ( 1 ) $ 5272 $ 4570 $ 4664 $ 5287 $ 4674 $ 4695 total nonoperating income ( expense ) ( 1 ) ( 2 ) ( 32 ) ( 108 ) ( 69 ) ( 32 ) ( 108 ) ( 70 ) income before income taxes ( 2 ) $ 5240 $ 4462 $ 4595 $ 5255 $ 4566 $ 4625 income tax expense ( 3 ) $ 270 $ 1290 $ 1250 $ 1539 $ 1352 $ 1312 effective tax rate ( 3 ) 5.2% ( 5.2 % ) 28.9% ( 28.9 % ) 27.2% ( 27.2 % ) 29.3% ( 29.3 % ) 29.6% ( 29.6 % ) 28.4% ( 28.4 % ) ( 1 ) see non-gaap financial measures for further information on and reconciliation of as adjusted items ."]]}, "answers": ["15.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001294", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating income from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-2.0%.", "rejected": "4.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the growth rate in operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the growth rate in operating income <TIME>?", "original_question": "what is the growth rate in operating income from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-2.0%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "15.4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "BLK/2017/page_77.pdf-2", "qa": {"question": "what is the growth rate in operating income from 2015 to 2016?", "answer": "-2.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4570", "arg2": "4664", "res": "-94"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4664", "res": "-2.0%"}], "program": "subtract(4570, 4664), divide(#0, 4664)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"}, "exe_ans": -0.02015, "tfidftopn": {"text_13": "2016 .", "text_16": "2015 ."}, "program_re": "divide(subtract(4570, 4664), 4664)", "model_input": [["table_1", "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"], ["text_1", "operating income ( 1 ) $ 5272 $ 4570 $ 4664 $ 5287 $ 4674 $ 4695 total nonoperating income ( expense ) ( 1 ) ( 2 ) ( 32 ) ( 108 ) ( 69 ) ( 32 ) ( 108 ) ( 70 ) income before income taxes ( 2 ) $ 5240 $ 4462 $ 4595 $ 5255 $ 4566 $ 4625 income tax expense ( 3 ) $ 270 $ 1290 $ 1250 $ 1539 $ 1352 $ 1312 effective tax rate ( 3 ) 5.2% ( 5.2 % ) 28.9% ( 28.9 % ) 27.2% ( 27.2 % ) 29.3% ( 29.3 % ) 29.6% ( 29.6 % ) 28.4% ( 28.4 % ) ( 1 ) see non-gaap financial measures for further information on and reconciliation of as adjusted items ."]]}, "answers": ["-2.0%"]}, "rejected_source": {"id": "BLK/2016/page_75.pdf-4", "qa": {"question": "what is the growth rate in operating income from 2014 to 2015?", "answer": "4.2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4664", "arg2": "4474", "res": "190"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4474", "res": "4.2%"}], "program": "subtract(4664, 4474), divide(#0, 4474)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2014 is $ 4474 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of gaap 2015 is $ 4695 ; the operating income ( 1 ) of 2014 is $ 4563 ;"}, "exe_ans": 0.04247, "tfidftopn": {"text_21": "2014 .", "text_18": "2015 ."}, "program_re": "divide(subtract(4664, 4474), 4474)", "model_input": [["text_7", "income tax expense ."], ["table_1", "( in millions ) the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2014 is $ 4474 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of gaap 2015 is $ 4695 ; the operating income ( 1 ) of 2014 is $ 4563 ;"], ["table_3", "( in millions ) the income before income taxes ( 2 ) of gaap 2016 is $ 4462 ; the income before income taxes ( 2 ) of gaap 2015 is $ 4595 ; the income before income taxes ( 2 ) of gaap 2014 is $ 4425 ; the income before income taxes ( 2 ) of gaap 2016 is $ 4566 ; the income before income taxes ( 2 ) of gaap 2015 is $ 4625 ; the income before income taxes ( 2 ) of 2014 is $ 4507 ;"]]}, "answers": ["4.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001295", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating income from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "15.4%.", "rejected": "-2.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the growth rate in operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the growth rate in operating income <TIME>?", "original_question": "what is the growth rate in operating income from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-2.0%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "15.4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "BLK/2017/page_77.pdf-1", "qa": {"question": "what is the growth rate in operating income from 2016 to 2017?", "answer": "15.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5272", "arg2": "4570", "res": "702"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4570", "res": "15.4%"}], "program": "subtract(5272, 4570), divide(#0, 4570)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"}, "exe_ans": 0.15361, "tfidftopn": {"text_13": "2016 .", "text_7": "2017 ."}, "program_re": "divide(subtract(5272, 4570), 4570)", "model_input": [["table_1", "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"], ["text_1", "operating income ( 1 ) $ 5272 $ 4570 $ 4664 $ 5287 $ 4674 $ 4695 total nonoperating income ( expense ) ( 1 ) ( 2 ) ( 32 ) ( 108 ) ( 69 ) ( 32 ) ( 108 ) ( 70 ) income before income taxes ( 2 ) $ 5240 $ 4462 $ 4595 $ 5255 $ 4566 $ 4625 income tax expense ( 3 ) $ 270 $ 1290 $ 1250 $ 1539 $ 1352 $ 1312 effective tax rate ( 3 ) 5.2% ( 5.2 % ) 28.9% ( 28.9 % ) 27.2% ( 27.2 % ) 29.3% ( 29.3 % ) 29.6% ( 29.6 % ) 28.4% ( 28.4 % ) ( 1 ) see non-gaap financial measures for further information on and reconciliation of as adjusted items ."]]}, "answers": ["15.4%"]}, "rejected_source": {"id": "BLK/2017/page_77.pdf-2", "qa": {"question": "what is the growth rate in operating income from 2015 to 2016?", "answer": "-2.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4570", "arg2": "4664", "res": "-94"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4664", "res": "-2.0%"}], "program": "subtract(4570, 4664), divide(#0, 4664)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"}, "exe_ans": -0.02015, "tfidftopn": {"text_13": "2016 .", "text_16": "2015 ."}, "program_re": "divide(subtract(4570, 4664), 4664)", "model_input": [["table_1", "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"], ["text_1", "operating income ( 1 ) $ 5272 $ 4570 $ 4664 $ 5287 $ 4674 $ 4695 total nonoperating income ( expense ) ( 1 ) ( 2 ) ( 32 ) ( 108 ) ( 69 ) ( 32 ) ( 108 ) ( 70 ) income before income taxes ( 2 ) $ 5240 $ 4462 $ 4595 $ 5255 $ 4566 $ 4625 income tax expense ( 3 ) $ 270 $ 1290 $ 1250 $ 1539 $ 1352 $ 1312 effective tax rate ( 3 ) 5.2% ( 5.2 % ) 28.9% ( 28.9 % ) 27.2% ( 27.2 % ) 29.3% ( 29.3 % ) 29.6% ( 29.6 % ) 28.4% ( 28.4 % ) ( 1 ) see non-gaap financial measures for further information on and reconciliation of as adjusted items ."]]}, "answers": ["-2.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001296", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating income from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "15.4%.", "rejected": "4.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the growth rate in operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the growth rate in operating income <TIME>?", "original_question": "what is the growth rate in operating income from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-2.0%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "15.4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "BLK/2017/page_77.pdf-1", "qa": {"question": "what is the growth rate in operating income from 2016 to 2017?", "answer": "15.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5272", "arg2": "4570", "res": "702"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4570", "res": "15.4%"}], "program": "subtract(5272, 4570), divide(#0, 4570)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"}, "exe_ans": 0.15361, "tfidftopn": {"text_13": "2016 .", "text_7": "2017 ."}, "program_re": "divide(subtract(5272, 4570), 4570)", "model_input": [["table_1", "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"], ["text_1", "operating income ( 1 ) $ 5272 $ 4570 $ 4664 $ 5287 $ 4674 $ 4695 total nonoperating income ( expense ) ( 1 ) ( 2 ) ( 32 ) ( 108 ) ( 69 ) ( 32 ) ( 108 ) ( 70 ) income before income taxes ( 2 ) $ 5240 $ 4462 $ 4595 $ 5255 $ 4566 $ 4625 income tax expense ( 3 ) $ 270 $ 1290 $ 1250 $ 1539 $ 1352 $ 1312 effective tax rate ( 3 ) 5.2% ( 5.2 % ) 28.9% ( 28.9 % ) 27.2% ( 27.2 % ) 29.3% ( 29.3 % ) 29.6% ( 29.6 % ) 28.4% ( 28.4 % ) ( 1 ) see non-gaap financial measures for further information on and reconciliation of as adjusted items ."]]}, "answers": ["15.4%"]}, "rejected_source": {"id": "BLK/2016/page_75.pdf-4", "qa": {"question": "what is the growth rate in operating income from 2014 to 2015?", "answer": "4.2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4664", "arg2": "4474", "res": "190"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4474", "res": "4.2%"}], "program": "subtract(4664, 4474), divide(#0, 4474)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2014 is $ 4474 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of gaap 2015 is $ 4695 ; the operating income ( 1 ) of 2014 is $ 4563 ;"}, "exe_ans": 0.04247, "tfidftopn": {"text_21": "2014 .", "text_18": "2015 ."}, "program_re": "divide(subtract(4664, 4474), 4474)", "model_input": [["text_7", "income tax expense ."], ["table_1", "( in millions ) the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2014 is $ 4474 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of gaap 2015 is $ 4695 ; the operating income ( 1 ) of 2014 is $ 4563 ;"], ["table_3", "( in millions ) the income before income taxes ( 2 ) of gaap 2016 is $ 4462 ; the income before income taxes ( 2 ) of gaap 2015 is $ 4595 ; the income before income taxes ( 2 ) of gaap 2014 is $ 4425 ; the income before income taxes ( 2 ) of gaap 2016 is $ 4566 ; the income before income taxes ( 2 ) of gaap 2015 is $ 4625 ; the income before income taxes ( 2 ) of 2014 is $ 4507 ;"]]}, "answers": ["4.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001297", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating income from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "4.2%.", "rejected": "-2.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the growth rate in operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the growth rate in operating income <TIME>?", "original_question": "what is the growth rate in operating income from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-2.0%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "15.4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "BLK/2016/page_75.pdf-4", "qa": {"question": "what is the growth rate in operating income from 2014 to 2015?", "answer": "4.2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4664", "arg2": "4474", "res": "190"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4474", "res": "4.2%"}], "program": "subtract(4664, 4474), divide(#0, 4474)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2014 is $ 4474 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of gaap 2015 is $ 4695 ; the operating income ( 1 ) of 2014 is $ 4563 ;"}, "exe_ans": 0.04247, "tfidftopn": {"text_21": "2014 .", "text_18": "2015 ."}, "program_re": "divide(subtract(4664, 4474), 4474)", "model_input": [["text_7", "income tax expense ."], ["table_1", "( in millions ) the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2014 is $ 4474 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of gaap 2015 is $ 4695 ; the operating income ( 1 ) of 2014 is $ 4563 ;"], ["table_3", "( in millions ) the income before income taxes ( 2 ) of gaap 2016 is $ 4462 ; the income before income taxes ( 2 ) of gaap 2015 is $ 4595 ; the income before income taxes ( 2 ) of gaap 2014 is $ 4425 ; the income before income taxes ( 2 ) of gaap 2016 is $ 4566 ; the income before income taxes ( 2 ) of gaap 2015 is $ 4625 ; the income before income taxes ( 2 ) of 2014 is $ 4507 ;"]]}, "answers": ["4.2%"]}, "rejected_source": {"id": "BLK/2017/page_77.pdf-2", "qa": {"question": "what is the growth rate in operating income from 2015 to 2016?", "answer": "-2.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4570", "arg2": "4664", "res": "-94"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4664", "res": "-2.0%"}], "program": "subtract(4570, 4664), divide(#0, 4664)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"}, "exe_ans": -0.02015, "tfidftopn": {"text_13": "2016 .", "text_16": "2015 ."}, "program_re": "divide(subtract(4570, 4664), 4664)", "model_input": [["table_1", "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"], ["text_1", "operating income ( 1 ) $ 5272 $ 4570 $ 4664 $ 5287 $ 4674 $ 4695 total nonoperating income ( expense ) ( 1 ) ( 2 ) ( 32 ) ( 108 ) ( 69 ) ( 32 ) ( 108 ) ( 70 ) income before income taxes ( 2 ) $ 5240 $ 4462 $ 4595 $ 5255 $ 4566 $ 4625 income tax expense ( 3 ) $ 270 $ 1290 $ 1250 $ 1539 $ 1352 $ 1312 effective tax rate ( 3 ) 5.2% ( 5.2 % ) 28.9% ( 28.9 % ) 27.2% ( 27.2 % ) 29.3% ( 29.3 % ) 29.6% ( 29.6 % ) 28.4% ( 28.4 % ) ( 1 ) see non-gaap financial measures for further information on and reconciliation of as adjusted items ."]]}, "answers": ["-2.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001298", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating income from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "4.2%.", "rejected": "15.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the growth rate in operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the growth rate in operating income <TIME>?", "original_question": "what is the growth rate in operating income from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4.2%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-2.0%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}, {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "15.4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "BLK/2016/page_75.pdf-4", "qa": {"question": "what is the growth rate in operating income from 2014 to 2015?", "answer": "4.2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4664", "arg2": "4474", "res": "190"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4474", "res": "4.2%"}], "program": "subtract(4664, 4474), divide(#0, 4474)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2014 is $ 4474 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of gaap 2015 is $ 4695 ; the operating income ( 1 ) of 2014 is $ 4563 ;"}, "exe_ans": 0.04247, "tfidftopn": {"text_21": "2014 .", "text_18": "2015 ."}, "program_re": "divide(subtract(4664, 4474), 4474)", "model_input": [["text_7", "income tax expense ."], ["table_1", "( in millions ) the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2014 is $ 4474 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of gaap 2015 is $ 4695 ; the operating income ( 1 ) of 2014 is $ 4563 ;"], ["table_3", "( in millions ) the income before income taxes ( 2 ) of gaap 2016 is $ 4462 ; the income before income taxes ( 2 ) of gaap 2015 is $ 4595 ; the income before income taxes ( 2 ) of gaap 2014 is $ 4425 ; the income before income taxes ( 2 ) of gaap 2016 is $ 4566 ; the income before income taxes ( 2 ) of gaap 2015 is $ 4625 ; the income before income taxes ( 2 ) of 2014 is $ 4507 ;"]]}, "answers": ["4.2%"]}, "rejected_source": {"id": "BLK/2017/page_77.pdf-1", "qa": {"question": "what is the growth rate in operating income from 2016 to 2017?", "answer": "15.4%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5272", "arg2": "4570", "res": "702"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4570", "res": "15.4%"}], "program": "subtract(5272, 4570), divide(#0, 4570)", "gold_inds": {"table_1": "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"}, "exe_ans": 0.15361, "tfidftopn": {"text_13": "2016 .", "text_7": "2017 ."}, "program_re": "divide(subtract(5272, 4570), 4570)", "model_input": [["table_1", "( in millions ) the operating income ( 1 ) of gaap 2017 is $ 5272 ; the operating income ( 1 ) of gaap 2016 is $ 4570 ; the operating income ( 1 ) of gaap 2015 is $ 4664 ; the operating income ( 1 ) of gaap 2017 is $ 5287 ; the operating income ( 1 ) of gaap 2016 is $ 4674 ; the operating income ( 1 ) of 2015 is $ 4695 ;"], ["text_1", "operating income ( 1 ) $ 5272 $ 4570 $ 4664 $ 5287 $ 4674 $ 4695 total nonoperating income ( expense ) ( 1 ) ( 2 ) ( 32 ) ( 108 ) ( 69 ) ( 32 ) ( 108 ) ( 70 ) income before income taxes ( 2 ) $ 5240 $ 4462 $ 4595 $ 5255 $ 4566 $ 4625 income tax expense ( 3 ) $ 270 $ 1290 $ 1250 $ 1539 $ 1352 $ 1312 effective tax rate ( 3 ) 5.2% ( 5.2 % ) 28.9% ( 28.9 % ) 27.2% ( 27.2 % ) 29.3% ( 29.3 % ) 29.6% ( 29.6 % ) 28.4% ( 28.4 % ) ( 1 ) see non-gaap financial measures for further information on and reconciliation of as adjusted items ."]]}, "answers": ["15.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001299", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "100.", "rejected": "82.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2017/page_79.pdf-1", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2017?", "answer": "100", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "92", "arg2": "4", "res": "96"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "97"}, {"op": "add1-3", "arg1": "#1", "arg2": "3", "res": "100"}], "program": "add(92, 4), add(#0, 1), add(#1, 3)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 100.0, "tfidftopn": {}, "program_re": "add(add(add(92, 4), 1), 3)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["100"]}, "rejected_source": {"id": "MO/2016/page_76.pdf-3", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2015?", "answer": "82", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "65", "arg2": "5", "res": "70"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "71"}, {"op": "add1-3", "arg1": "#1", "arg2": "11", "res": "82"}], "program": "add(65, 5), add(#0, 1), add(#1, 11)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 82.0, "tfidftopn": {}, "program_re": "add(add(add(65, 5), 1), 11)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["82"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001300", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "100.", "rejected": "84.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2017/page_79.pdf-1", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2017?", "answer": "100", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "92", "arg2": "4", "res": "96"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "97"}, {"op": "add1-3", "arg1": "#1", "arg2": "3", "res": "100"}], "program": "add(92, 4), add(#0, 1), add(#1, 3)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 100.0, "tfidftopn": {}, "program_re": "add(add(add(92, 4), 1), 3)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["100"]}, "rejected_source": {"id": "MO/2017/page_79.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2016?", "answer": "84", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "70", "arg2": "5", "res": "75"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "76"}, {"op": "add2-3", "arg1": "#1", "arg2": "8", "res": "84"}], "program": "add(70, 5), add(#0, 1), add(#1, 8)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 84.0, "tfidftopn": {}, "program_re": "add(add(add(70, 5), 1), 8)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["84"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001301", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "100.", "rejected": "85.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2017/page_79.pdf-1", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2017?", "answer": "100", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "92", "arg2": "4", "res": "96"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "97"}, {"op": "add1-3", "arg1": "#1", "arg2": "3", "res": "100"}], "program": "add(92, 4), add(#0, 1), add(#1, 3)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 100.0, "tfidftopn": {}, "program_re": "add(add(add(92, 4), 1), 3)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["100"]}, "rejected_source": {"id": "MO/2016/page_76.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2014?", "answer": "85", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "67", "arg2": "5", "res": "72"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "73"}, {"op": "add2-3", "arg1": "#1", "arg2": "12", "res": "85"}], "program": "add(67, 5), add(#0, 1), add(#1, 12)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 85.0, "tfidftopn": {}, "program_re": "add(add(add(67, 5), 1), 12)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["85"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001302", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "82.", "rejected": "100.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2016/page_76.pdf-3", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2015?", "answer": "82", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "65", "arg2": "5", "res": "70"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "71"}, {"op": "add1-3", "arg1": "#1", "arg2": "11", "res": "82"}], "program": "add(65, 5), add(#0, 1), add(#1, 11)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 82.0, "tfidftopn": {}, "program_re": "add(add(add(65, 5), 1), 11)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["82"]}, "rejected_source": {"id": "MO/2017/page_79.pdf-1", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2017?", "answer": "100", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "92", "arg2": "4", "res": "96"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "97"}, {"op": "add1-3", "arg1": "#1", "arg2": "3", "res": "100"}], "program": "add(92, 4), add(#0, 1), add(#1, 3)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 100.0, "tfidftopn": {}, "program_re": "add(add(add(92, 4), 1), 3)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["100"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001303", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "82.", "rejected": "84.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2016/page_76.pdf-3", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2015?", "answer": "82", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "65", "arg2": "5", "res": "70"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "71"}, {"op": "add1-3", "arg1": "#1", "arg2": "11", "res": "82"}], "program": "add(65, 5), add(#0, 1), add(#1, 11)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 82.0, "tfidftopn": {}, "program_re": "add(add(add(65, 5), 1), 11)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["82"]}, "rejected_source": {"id": "MO/2017/page_79.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2016?", "answer": "84", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "70", "arg2": "5", "res": "75"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "76"}, {"op": "add2-3", "arg1": "#1", "arg2": "8", "res": "84"}], "program": "add(70, 5), add(#0, 1), add(#1, 8)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 84.0, "tfidftopn": {}, "program_re": "add(add(add(70, 5), 1), 8)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["84"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001304", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "82.", "rejected": "85.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2016/page_76.pdf-3", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2015?", "answer": "82", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "65", "arg2": "5", "res": "70"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "71"}, {"op": "add1-3", "arg1": "#1", "arg2": "11", "res": "82"}], "program": "add(65, 5), add(#0, 1), add(#1, 11)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 82.0, "tfidftopn": {}, "program_re": "add(add(add(65, 5), 1), 11)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["82"]}, "rejected_source": {"id": "MO/2016/page_76.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2014?", "answer": "85", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "67", "arg2": "5", "res": "72"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "73"}, {"op": "add2-3", "arg1": "#1", "arg2": "12", "res": "85"}], "program": "add(67, 5), add(#0, 1), add(#1, 12)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 85.0, "tfidftopn": {}, "program_re": "add(add(add(67, 5), 1), 12)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["85"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001305", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "84.", "rejected": "100.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2017/page_79.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2016?", "answer": "84", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "70", "arg2": "5", "res": "75"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "76"}, {"op": "add2-3", "arg1": "#1", "arg2": "8", "res": "84"}], "program": "add(70, 5), add(#0, 1), add(#1, 8)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 84.0, "tfidftopn": {}, "program_re": "add(add(add(70, 5), 1), 8)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["84"]}, "rejected_source": {"id": "MO/2017/page_79.pdf-1", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2017?", "answer": "100", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "92", "arg2": "4", "res": "96"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "97"}, {"op": "add1-3", "arg1": "#1", "arg2": "3", "res": "100"}], "program": "add(92, 4), add(#0, 1), add(#1, 3)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 100.0, "tfidftopn": {}, "program_re": "add(add(add(92, 4), 1), 3)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["100"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001306", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "84.", "rejected": "82.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2017/page_79.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2016?", "answer": "84", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "70", "arg2": "5", "res": "75"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "76"}, {"op": "add2-3", "arg1": "#1", "arg2": "8", "res": "84"}], "program": "add(70, 5), add(#0, 1), add(#1, 8)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 84.0, "tfidftopn": {}, "program_re": "add(add(add(70, 5), 1), 8)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["84"]}, "rejected_source": {"id": "MO/2016/page_76.pdf-3", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2015?", "answer": "82", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "65", "arg2": "5", "res": "70"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "71"}, {"op": "add1-3", "arg1": "#1", "arg2": "11", "res": "82"}], "program": "add(65, 5), add(#0, 1), add(#1, 11)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 82.0, "tfidftopn": {}, "program_re": "add(add(add(65, 5), 1), 11)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["82"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001307", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "84.", "rejected": "85.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2017/page_79.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2016?", "answer": "84", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "70", "arg2": "5", "res": "75"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "76"}, {"op": "add2-3", "arg1": "#1", "arg2": "8", "res": "84"}], "program": "add(70, 5), add(#0, 1), add(#1, 8)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 84.0, "tfidftopn": {}, "program_re": "add(add(add(70, 5), 1), 8)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["84"]}, "rejected_source": {"id": "MO/2016/page_76.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2014?", "answer": "85", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "67", "arg2": "5", "res": "72"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "73"}, {"op": "add2-3", "arg1": "#1", "arg2": "12", "res": "85"}], "program": "add(67, 5), add(#0, 1), add(#1, 12)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 85.0, "tfidftopn": {}, "program_re": "add(add(add(67, 5), 1), 12)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["85"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001308", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "85.", "rejected": "100.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2016/page_76.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2014?", "answer": "85", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "67", "arg2": "5", "res": "72"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "73"}, {"op": "add2-3", "arg1": "#1", "arg2": "12", "res": "85"}], "program": "add(67, 5), add(#0, 1), add(#1, 12)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 85.0, "tfidftopn": {}, "program_re": "add(add(add(67, 5), 1), 12)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["85"]}, "rejected_source": {"id": "MO/2017/page_79.pdf-1", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2017?", "answer": "100", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "92", "arg2": "4", "res": "96"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "97"}, {"op": "add1-3", "arg1": "#1", "arg2": "3", "res": "100"}], "program": "add(92, 4), add(#0, 1), add(#1, 3)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 100.0, "tfidftopn": {}, "program_re": "add(add(add(92, 4), 1), 3)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["100"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001309", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "85.", "rejected": "82.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2016/page_76.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2014?", "answer": "85", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "67", "arg2": "5", "res": "72"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "73"}, {"op": "add2-3", "arg1": "#1", "arg2": "12", "res": "85"}], "program": "add(67, 5), add(#0, 1), add(#1, 12)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 85.0, "tfidftopn": {}, "program_re": "add(add(add(67, 5), 1), 12)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["85"]}, "rejected_source": {"id": "MO/2016/page_76.pdf-3", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2015?", "answer": "82", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "65", "arg2": "5", "res": "70"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "71"}, {"op": "add1-3", "arg1": "#1", "arg2": "11", "res": "82"}], "program": "add(65, 5), add(#0, 1), add(#1, 11)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 82.0, "tfidftopn": {}, "program_re": "add(add(add(65, 5), 1), 11)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["82"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001310", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what are the total number of pending tobacco-related cases in united states in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "85.", "rejected": "84.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what are the total number of pending tobacco-related cases in united states <TIME>?", "doc_prefix": "MO", "base_question": "what are the total number of pending tobacco-related cases in united states <TIME>?", "original_question": "what are the total number of pending tobacco-related cases in united states in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}], "82": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "84": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "100": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2016/page_76.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2014?", "answer": "85", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "67", "arg2": "5", "res": "72"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "73"}, {"op": "add2-3", "arg1": "#1", "arg2": "12", "res": "85"}], "program": "add(67, 5), add(#0, 1), add(#1, 12)", "gold_inds": {"table_1": "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;", "table_3": "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"}, "exe_ans": 85.0, "tfidftopn": {}, "program_re": "add(add(add(67, 5), 1), 12)", "model_input": [["table_1", "the individual smoking and health cases ( 2 ) of 2016 is 70 ; the individual smoking and health cases ( 2 ) of 2015 is 65 ; the individual smoking and health cases ( 2 ) of 2014 is 67 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 3 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2015 is 5 ; the smoking and health class actions and aggregated claims litigation ( 3 ) of 2014 is 5 ;"], ["table_3", "the health care cost recovery actions ( 4 ) of 2016 is 1 ; the health care cost recovery actions ( 4 ) of 2015 is 1 ; the health care cost recovery actions ( 4 ) of 2014 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ; the 201clights/ultra lights 201d class actions of 2014 is 12 ;"]]}, "answers": ["85"]}, "rejected_source": {"id": "MO/2017/page_79.pdf-2", "qa": {"question": "what are the total number of pending tobacco-related cases in united states in 2016?", "answer": "84", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "70", "arg2": "5", "res": "75"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "76"}, {"op": "add2-3", "arg1": "#1", "arg2": "8", "res": "84"}], "program": "add(70, 5), add(#0, 1), add(#1, 8)", "gold_inds": {"table_1": "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;", "table_2": "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;", "table_3": "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;", "table_4": "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"}, "exe_ans": 84.0, "tfidftopn": {}, "program_re": "add(add(add(70, 5), 1), 8)", "model_input": [["table_1", "the individual smoking and health cases ( 1 ) of 2017 is 92 ; the individual smoking and health cases ( 1 ) of 2016 is 70 ; the individual smoking and health cases ( 1 ) of 2015 is 65 ;"], ["table_2", "the smoking and health class actions and aggregated claims litigation ( 2 ) of 2017 is 4 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2016 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of 2015 is 5 ;"], ["table_3", "the health care cost recovery actions ( 3 ) of 2017 is 1 ; the health care cost recovery actions ( 3 ) of 2016 is 1 ; the health care cost recovery actions ( 3 ) of 2015 is 1 ;"], ["table_4", "the 201clights/ultra lights 201d class actions of 2017 is 3 ; the 201clights/ultra lights 201d class actions of 2016 is 8 ; the 201clights/ultra lights 201d class actions of 2015 is 11 ;"]]}, "answers": ["84"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001311", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by what amount is the non-operating income gaap basis higher in 2013 compare to 2012?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "170.", "rejected": "60.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || by what amount is the non-operating income gaap basis higher <TIME> compare to <TIME>?", "doc_prefix": "BLK", "base_question": "by what amount is the non-operating income gaap basis higher <TIME> compare to <TIME>?", "original_question": "by what amount is the non-operating income gaap basis higher in 2013 compare to 2012?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"60": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "170": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "BLK/2013/page_57.pdf-3", "qa": {"question": "by what amount is the non-operating income gaap basis higher in 2013 compare to 2012?", "answer": "170", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "116", "arg2": "-54", "res": "170"}], "program": "subtract(116, -54)", "gold_inds": {"table_1": "( in millions ) the nonoperating income ( expense ) gaap basis of 2013 is $ 116 ; the nonoperating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the nonoperating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ;"}, "exe_ans": 170.0, "tfidftopn": {"text_16": "( in millions ) 2013 2012 2011 nonoperating income ( expense ) , gaap basis $ 116 $ ( 54 ) $ ( 114 ) less : net income ( loss ) attributable to nci 19 ( 18 ) 2 .", "text_2": "management uses both gaap and non-gaap financial measures in evaluating blackrock 2019s financial performance ."}, "program_re": "subtract(116, -54)", "model_input": [["text_16", "( in millions ) 2013 2012 2011 nonoperating income ( expense ) , gaap basis $ 116 $ ( 54 ) $ ( 114 ) less : net income ( loss ) attributable to nci 19 ( 18 ) 2 ."], ["table_1", "( in millions ) the nonoperating income ( expense ) gaap basis of 2013 is $ 116 ; the nonoperating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the nonoperating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ;"], ["table_3", "( in millions ) the nonoperating income ( expense ) of 2013 is 97 ; the nonoperating income ( expense ) of 2012 is -36 ( 36 ) ; the nonoperating income ( expense ) of 2011 is -116 ( 116 ) ;"]]}, "answers": ["170"]}, "rejected_source": {"id": "BLK/2013/page_57.pdf-4", "qa": {"question": "by what amount is the non-operating income gaap basis higher in 2012 compare to 2011?", "answer": "60", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-54", "arg2": "-114", "res": "60"}], "program": "subtract(-54, -114)", "gold_inds": {"table_1": "( in millions ) the nonoperating income ( expense ) gaap basis of 2013 is $ 116 ; the nonoperating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the nonoperating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ;"}, "exe_ans": 60.0, "tfidftopn": {"text_16": "( in millions ) 2013 2012 2011 nonoperating income ( expense ) , gaap basis $ 116 $ ( 54 ) $ ( 114 ) less : net income ( loss ) attributable to nci 19 ( 18 ) 2 .", "text_2": "management uses both gaap and non-gaap financial measures in evaluating blackrock 2019s financial performance ."}, "program_re": "subtract(-54, -114)", "model_input": [["text_16", "( in millions ) 2013 2012 2011 nonoperating income ( expense ) , gaap basis $ 116 $ ( 54 ) $ ( 114 ) less : net income ( loss ) attributable to nci 19 ( 18 ) 2 ."], ["table_1", "( in millions ) the nonoperating income ( expense ) gaap basis of 2013 is $ 116 ; the nonoperating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the nonoperating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ;"], ["table_3", "( in millions ) the nonoperating income ( expense ) of 2013 is 97 ; the nonoperating income ( expense ) of 2012 is -36 ( 36 ) ; the nonoperating income ( expense ) of 2011 is -116 ( 116 ) ;"]]}, "answers": ["60"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001312", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: by what amount is the non-operating income gaap basis higher in 2012 compare to 2011?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "60.", "rejected": "170.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || by what amount is the non-operating income gaap basis higher <TIME> compare to <TIME>?", "doc_prefix": "BLK", "base_question": "by what amount is the non-operating income gaap basis higher <TIME> compare to <TIME>?", "original_question": "by what amount is the non-operating income gaap basis higher in 2012 compare to 2011?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"60": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "170": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "BLK/2013/page_57.pdf-4", "qa": {"question": "by what amount is the non-operating income gaap basis higher in 2012 compare to 2011?", "answer": "60", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-54", "arg2": "-114", "res": "60"}], "program": "subtract(-54, -114)", "gold_inds": {"table_1": "( in millions ) the nonoperating income ( expense ) gaap basis of 2013 is $ 116 ; the nonoperating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the nonoperating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ;"}, "exe_ans": 60.0, "tfidftopn": {"text_16": "( in millions ) 2013 2012 2011 nonoperating income ( expense ) , gaap basis $ 116 $ ( 54 ) $ ( 114 ) less : net income ( loss ) attributable to nci 19 ( 18 ) 2 .", "text_2": "management uses both gaap and non-gaap financial measures in evaluating blackrock 2019s financial performance ."}, "program_re": "subtract(-54, -114)", "model_input": [["text_16", "( in millions ) 2013 2012 2011 nonoperating income ( expense ) , gaap basis $ 116 $ ( 54 ) $ ( 114 ) less : net income ( loss ) attributable to nci 19 ( 18 ) 2 ."], ["table_1", "( in millions ) the nonoperating income ( expense ) gaap basis of 2013 is $ 116 ; the nonoperating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the nonoperating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ;"], ["table_3", "( in millions ) the nonoperating income ( expense ) of 2013 is 97 ; the nonoperating income ( expense ) of 2012 is -36 ( 36 ) ; the nonoperating income ( expense ) of 2011 is -116 ( 116 ) ;"]]}, "answers": ["60"]}, "rejected_source": {"id": "BLK/2013/page_57.pdf-3", "qa": {"question": "by what amount is the non-operating income gaap basis higher in 2013 compare to 2012?", "answer": "170", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "116", "arg2": "-54", "res": "170"}], "program": "subtract(116, -54)", "gold_inds": {"table_1": "( in millions ) the nonoperating income ( expense ) gaap basis of 2013 is $ 116 ; the nonoperating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the nonoperating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ;"}, "exe_ans": 170.0, "tfidftopn": {"text_16": "( in millions ) 2013 2012 2011 nonoperating income ( expense ) , gaap basis $ 116 $ ( 54 ) $ ( 114 ) less : net income ( loss ) attributable to nci 19 ( 18 ) 2 .", "text_2": "management uses both gaap and non-gaap financial measures in evaluating blackrock 2019s financial performance ."}, "program_re": "subtract(116, -54)", "model_input": [["text_16", "( in millions ) 2013 2012 2011 nonoperating income ( expense ) , gaap basis $ 116 $ ( 54 ) $ ( 114 ) less : net income ( loss ) attributable to nci 19 ( 18 ) 2 ."], ["table_1", "( in millions ) the nonoperating income ( expense ) gaap basis of 2013 is $ 116 ; the nonoperating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the nonoperating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ;"], ["table_3", "( in millions ) the nonoperating income ( expense ) of 2013 is 97 ; the nonoperating income ( expense ) of 2012 is -36 ( 36 ) ; the nonoperating income ( expense ) of 2011 is -116 ( 116 ) ;"]]}, "answers": ["170"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001313", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accrued wages and vacation from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-4%.", "rejected": "4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in accrued wages and vacation <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in accrued wages and vacation <TIME>?", "original_question": "what was the percentage change in accrued wages and vacation from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "UNP/2015/page_76.pdf-2", "qa": {"question": "what was the percentage change in accrued wages and vacation from 2014 to 2015?", "answer": "-4%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "391", "arg2": "409", "res": "-18"}, {"op": "divide1-2", "arg1": "#0", "arg2": "409", "res": "-4%"}], "program": "subtract(391, 409), divide(#0, 409)", "gold_inds": {"table_3": "millions the accrued wages and vacation of dec . 31 2015 is 391 ; the accrued wages and vacation of dec . 31 2014 is 409 ;"}, "exe_ans": -0.04401, "tfidftopn": {"table_5": "millions The accrued casualty costs of dec . 31 2015 is 181 ; The accrued casualty costs of dec . 31 2014 is 249 ;", "text_7": "31 , millions 2015 2014 ."}, "program_re": "divide(subtract(391, 409), 409)", "model_input": [["text_7", "31 , millions 2015 2014 ."], ["table_3", "millions the accrued wages and vacation of dec . 31 2015 is 391 ; the accrued wages and vacation of dec . 31 2014 is 409 ;"], ["text_9", "the 2015 dividends paid amount includes the fourth quarter 2014 dividend of $ 438 million , which was paid on january 2 , 2015 , the first quarter 2015 dividend of $ 484 million , which was paid on march 30 , 2015 , the second quarter 2015 dividend of $ 479 million , which was paid on june 30 , 2015 , the third quarter 2015 dividend of $ 476 million , which was paid on september 30 , 2015 , as well as the fourth quarter 2015 dividend of $ 467 million , which was paid on december 30 , 2015 ."]]}, "answers": ["-4%"]}, "rejected_source": {"id": "UNP/2012/page_74.pdf-1", "qa": {"question": "what was the percentage change in accrued wages and vacation from 2011 to 2012?", "answer": "4%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "376", "arg2": "363", "res": "13"}, {"op": "divide1-2", "arg1": "#0", "arg2": "363", "res": "4%"}], "program": "subtract(376, 363), divide(#0, 363)", "gold_inds": {"table_2": "millions the accrued wages and vacation of dec . 31 2012 is 376 ; the accrued wages and vacation of dec . 312011 is 363 ;"}, "exe_ans": 0.03581, "tfidftopn": {"text_25": "31 , millions 2012 2011 .", "table_5": "millions The accrued casualty costs of dec . 31 2012 is 213 ; The accrued casualty costs of dec . 312011 is 249 ;"}, "program_re": "divide(subtract(376, 363), 363)", "model_input": [["text_12", "a large portion of our capital expenditures is for replacement of existing track assets and other road properties , which is typically performed by our employees , and for track line expansion and other capacity projects ."], ["text_17", "normal repairs and maintenance , including rail grinding , are also expensed as incurred , while costs incurred that extend the useful life of an asset , improve the safety of our operations or improve operating efficiency are capitalized ."], ["table_2", "millions the accrued wages and vacation of dec . 31 2012 is 376 ; the accrued wages and vacation of dec . 312011 is 363 ;"]]}, "answers": ["4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001314", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in accrued wages and vacation from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "4%.", "rejected": "-4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in accrued wages and vacation <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in accrued wages and vacation <TIME>?", "original_question": "what was the percentage change in accrued wages and vacation from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-4%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "UNP/2012/page_74.pdf-1", "qa": {"question": "what was the percentage change in accrued wages and vacation from 2011 to 2012?", "answer": "4%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "376", "arg2": "363", "res": "13"}, {"op": "divide1-2", "arg1": "#0", "arg2": "363", "res": "4%"}], "program": "subtract(376, 363), divide(#0, 363)", "gold_inds": {"table_2": "millions the accrued wages and vacation of dec . 31 2012 is 376 ; the accrued wages and vacation of dec . 312011 is 363 ;"}, "exe_ans": 0.03581, "tfidftopn": {"text_25": "31 , millions 2012 2011 .", "table_5": "millions The accrued casualty costs of dec . 31 2012 is 213 ; The accrued casualty costs of dec . 312011 is 249 ;"}, "program_re": "divide(subtract(376, 363), 363)", "model_input": [["text_12", "a large portion of our capital expenditures is for replacement of existing track assets and other road properties , which is typically performed by our employees , and for track line expansion and other capacity projects ."], ["text_17", "normal repairs and maintenance , including rail grinding , are also expensed as incurred , while costs incurred that extend the useful life of an asset , improve the safety of our operations or improve operating efficiency are capitalized ."], ["table_2", "millions the accrued wages and vacation of dec . 31 2012 is 376 ; the accrued wages and vacation of dec . 312011 is 363 ;"]]}, "answers": ["4%"]}, "rejected_source": {"id": "UNP/2015/page_76.pdf-2", "qa": {"question": "what was the percentage change in accrued wages and vacation from 2014 to 2015?", "answer": "-4%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "391", "arg2": "409", "res": "-18"}, {"op": "divide1-2", "arg1": "#0", "arg2": "409", "res": "-4%"}], "program": "subtract(391, 409), divide(#0, 409)", "gold_inds": {"table_3": "millions the accrued wages and vacation of dec . 31 2015 is 391 ; the accrued wages and vacation of dec . 31 2014 is 409 ;"}, "exe_ans": -0.04401, "tfidftopn": {"table_5": "millions The accrued casualty costs of dec . 31 2015 is 181 ; The accrued casualty costs of dec . 31 2014 is 249 ;", "text_7": "31 , millions 2015 2014 ."}, "program_re": "divide(subtract(391, 409), 409)", "model_input": [["text_7", "31 , millions 2015 2014 ."], ["table_3", "millions the accrued wages and vacation of dec . 31 2015 is 391 ; the accrued wages and vacation of dec . 31 2014 is 409 ;"], ["text_9", "the 2015 dividends paid amount includes the fourth quarter 2014 dividend of $ 438 million , which was paid on january 2 , 2015 , the first quarter 2015 dividend of $ 484 million , which was paid on march 30 , 2015 , the second quarter 2015 dividend of $ 479 million , which was paid on june 30 , 2015 , the third quarter 2015 dividend of $ 476 million , which was paid on september 30 , 2015 , as well as the fourth quarter 2015 dividend of $ 467 million , which was paid on december 30 , 2015 ."]]}, "answers": ["-4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001315", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total operating expenses was fuel in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "23%.", "rejected": "24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total operating expenses was fuel <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total operating expenses was fuel <TIME>?", "original_question": "what percentage of total operating expenses was fuel in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "24%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "23%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "UNP/2014/page_30.pdf-3", "qa": {"question": "what percentage of total operating expenses was fuel in 2014?", "answer": "23%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3539", "arg2": "15235", "res": "23%"}], "program": "divide(3539, 15235)", "gold_inds": {"table_2": "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;", "table_7": "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"}, "exe_ans": 0.23229, "tfidftopn": {"text_19": "expenses for purchased services increased 8% ( 8 % ) compared to 2013 primarily due to volume- 2014 operating expenses ."}, "program_re": "divide(3539, 15235)", "model_input": [["table_2", "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;"], ["table_4", "millions the depreciation of 2014 is 1904 ; the depreciation of 2013 is 1777 ; the depreciation of 2012 is 1760 ; the depreciation of % ( % ) change 2014 v 2013 is 7 ; the depreciation of % ( % ) change 2013 v 2012 is 1 ;"], ["table_7", "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"]]}, "answers": ["23%"]}, "rejected_source": {"id": "UNP/2014/page_30.pdf-4", "qa": {"question": "what percentage of total operating expenses was fuel in 2013?", "answer": "24%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3534", "arg2": "14517", "res": "24%"}], "program": "divide(3534, 14517)", "gold_inds": {"table_2": "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;", "table_7": "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"}, "exe_ans": 0.24344, "tfidftopn": {"text_0": "operating expenses millions 2014 2013 2012 % (  % ) change 2014 v 2013 % (  % ) change 2013 v 2012 ."}, "program_re": "divide(3534, 14517)", "model_input": [["table_2", "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;"], ["table_4", "millions the depreciation of 2014 is 1904 ; the depreciation of 2013 is 1777 ; the depreciation of 2012 is 1760 ; the depreciation of % ( % ) change 2014 v 2013 is 7 ; the depreciation of % ( % ) change 2013 v 2012 is 1 ;"], ["table_7", "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"]]}, "answers": ["24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001316", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total operating expenses was fuel in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "23%.", "rejected": "25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total operating expenses was fuel <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total operating expenses was fuel <TIME>?", "original_question": "what percentage of total operating expenses was fuel in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "24%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "23%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "UNP/2014/page_30.pdf-3", "qa": {"question": "what percentage of total operating expenses was fuel in 2014?", "answer": "23%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3539", "arg2": "15235", "res": "23%"}], "program": "divide(3539, 15235)", "gold_inds": {"table_2": "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;", "table_7": "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"}, "exe_ans": 0.23229, "tfidftopn": {"text_19": "expenses for purchased services increased 8% ( 8 % ) compared to 2013 primarily due to volume- 2014 operating expenses ."}, "program_re": "divide(3539, 15235)", "model_input": [["table_2", "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;"], ["table_4", "millions the depreciation of 2014 is 1904 ; the depreciation of 2013 is 1777 ; the depreciation of 2012 is 1760 ; the depreciation of % ( % ) change 2014 v 2013 is 7 ; the depreciation of % ( % ) change 2013 v 2012 is 1 ;"], ["table_7", "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"]]}, "answers": ["23%"]}, "rejected_source": {"id": "UNP/2013/page_29.pdf-2", "qa": {"question": "what percentage of total operating expenses was fuel in 2012?", "answer": "25%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3608", "arg2": "14181", "res": "25%"}], "program": "divide(3608, 14181)", "gold_inds": {"table_2": "millions the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of 2011 is 3581 ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ; the fuel of % ( % ) change 2012 v 2011 is 1 ;", "table_7": "millions the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of 2011 is $ 13833 ; the total of % ( % ) change 2013 v 2012 is 2 % ( % ) ; the total of % ( % ) change 2012 v 2011 is 3% ( 3 % ) ;"}, "exe_ans": 0.25442, "tfidftopn": {"text_0": "operating expenses millions 2013 2012 2011 % (  % ) change 2013 v 2012 % (  % ) change 2012 v 2011 ."}, "program_re": "divide(3608, 14181)", "model_input": [["table_2", "millions the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of 2011 is 3581 ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ; the fuel of % ( % ) change 2012 v 2011 is 1 ;"], ["table_7", "millions the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of 2011 is $ 13833 ; the total of % ( % ) change 2013 v 2012 is 2 % ( % ) ; the total of % ( % ) change 2012 v 2011 is 3% ( 3 % ) ;"], ["text_16", "higher locomotive diesel fuel prices , which averaged $ 3.22 per gallon ( including taxes and transportation costs ) in 2012 , compared to $ 3.12 in 2011 , increased expenses by $ 105 million ."]]}, "answers": ["25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001317", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total operating expenses was fuel in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "24%.", "rejected": "23%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total operating expenses was fuel <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total operating expenses was fuel <TIME>?", "original_question": "what percentage of total operating expenses was fuel in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "24%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "23%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "UNP/2014/page_30.pdf-4", "qa": {"question": "what percentage of total operating expenses was fuel in 2013?", "answer": "24%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3534", "arg2": "14517", "res": "24%"}], "program": "divide(3534, 14517)", "gold_inds": {"table_2": "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;", "table_7": "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"}, "exe_ans": 0.24344, "tfidftopn": {"text_0": "operating expenses millions 2014 2013 2012 % (  % ) change 2014 v 2013 % (  % ) change 2013 v 2012 ."}, "program_re": "divide(3534, 14517)", "model_input": [["table_2", "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;"], ["table_4", "millions the depreciation of 2014 is 1904 ; the depreciation of 2013 is 1777 ; the depreciation of 2012 is 1760 ; the depreciation of % ( % ) change 2014 v 2013 is 7 ; the depreciation of % ( % ) change 2013 v 2012 is 1 ;"], ["table_7", "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"]]}, "answers": ["24%"]}, "rejected_source": {"id": "UNP/2014/page_30.pdf-3", "qa": {"question": "what percentage of total operating expenses was fuel in 2014?", "answer": "23%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3539", "arg2": "15235", "res": "23%"}], "program": "divide(3539, 15235)", "gold_inds": {"table_2": "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;", "table_7": "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"}, "exe_ans": 0.23229, "tfidftopn": {"text_19": "expenses for purchased services increased 8% ( 8 % ) compared to 2013 primarily due to volume- 2014 operating expenses ."}, "program_re": "divide(3539, 15235)", "model_input": [["table_2", "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;"], ["table_4", "millions the depreciation of 2014 is 1904 ; the depreciation of 2013 is 1777 ; the depreciation of 2012 is 1760 ; the depreciation of % ( % ) change 2014 v 2013 is 7 ; the depreciation of % ( % ) change 2013 v 2012 is 1 ;"], ["table_7", "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"]]}, "answers": ["23%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001318", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total operating expenses was fuel in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "24%.", "rejected": "25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total operating expenses was fuel <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total operating expenses was fuel <TIME>?", "original_question": "what percentage of total operating expenses was fuel in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "24%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "23%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "UNP/2014/page_30.pdf-4", "qa": {"question": "what percentage of total operating expenses was fuel in 2013?", "answer": "24%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3534", "arg2": "14517", "res": "24%"}], "program": "divide(3534, 14517)", "gold_inds": {"table_2": "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;", "table_7": "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"}, "exe_ans": 0.24344, "tfidftopn": {"text_0": "operating expenses millions 2014 2013 2012 % (  % ) change 2014 v 2013 % (  % ) change 2013 v 2012 ."}, "program_re": "divide(3534, 14517)", "model_input": [["table_2", "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;"], ["table_4", "millions the depreciation of 2014 is 1904 ; the depreciation of 2013 is 1777 ; the depreciation of 2012 is 1760 ; the depreciation of % ( % ) change 2014 v 2013 is 7 ; the depreciation of % ( % ) change 2013 v 2012 is 1 ;"], ["table_7", "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"]]}, "answers": ["24%"]}, "rejected_source": {"id": "UNP/2013/page_29.pdf-2", "qa": {"question": "what percentage of total operating expenses was fuel in 2012?", "answer": "25%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3608", "arg2": "14181", "res": "25%"}], "program": "divide(3608, 14181)", "gold_inds": {"table_2": "millions the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of 2011 is 3581 ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ; the fuel of % ( % ) change 2012 v 2011 is 1 ;", "table_7": "millions the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of 2011 is $ 13833 ; the total of % ( % ) change 2013 v 2012 is 2 % ( % ) ; the total of % ( % ) change 2012 v 2011 is 3% ( 3 % ) ;"}, "exe_ans": 0.25442, "tfidftopn": {"text_0": "operating expenses millions 2013 2012 2011 % (  % ) change 2013 v 2012 % (  % ) change 2012 v 2011 ."}, "program_re": "divide(3608, 14181)", "model_input": [["table_2", "millions the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of 2011 is 3581 ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ; the fuel of % ( % ) change 2012 v 2011 is 1 ;"], ["table_7", "millions the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of 2011 is $ 13833 ; the total of % ( % ) change 2013 v 2012 is 2 % ( % ) ; the total of % ( % ) change 2012 v 2011 is 3% ( 3 % ) ;"], ["text_16", "higher locomotive diesel fuel prices , which averaged $ 3.22 per gallon ( including taxes and transportation costs ) in 2012 , compared to $ 3.12 in 2011 , increased expenses by $ 105 million ."]]}, "answers": ["25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001319", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total operating expenses was fuel in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "25%.", "rejected": "23%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total operating expenses was fuel <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total operating expenses was fuel <TIME>?", "original_question": "what percentage of total operating expenses was fuel in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "24%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "23%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "UNP/2013/page_29.pdf-2", "qa": {"question": "what percentage of total operating expenses was fuel in 2012?", "answer": "25%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3608", "arg2": "14181", "res": "25%"}], "program": "divide(3608, 14181)", "gold_inds": {"table_2": "millions the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of 2011 is 3581 ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ; the fuel of % ( % ) change 2012 v 2011 is 1 ;", "table_7": "millions the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of 2011 is $ 13833 ; the total of % ( % ) change 2013 v 2012 is 2 % ( % ) ; the total of % ( % ) change 2012 v 2011 is 3% ( 3 % ) ;"}, "exe_ans": 0.25442, "tfidftopn": {"text_0": "operating expenses millions 2013 2012 2011 % (  % ) change 2013 v 2012 % (  % ) change 2012 v 2011 ."}, "program_re": "divide(3608, 14181)", "model_input": [["table_2", "millions the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of 2011 is 3581 ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ; the fuel of % ( % ) change 2012 v 2011 is 1 ;"], ["table_7", "millions the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of 2011 is $ 13833 ; the total of % ( % ) change 2013 v 2012 is 2 % ( % ) ; the total of % ( % ) change 2012 v 2011 is 3% ( 3 % ) ;"], ["text_16", "higher locomotive diesel fuel prices , which averaged $ 3.22 per gallon ( including taxes and transportation costs ) in 2012 , compared to $ 3.12 in 2011 , increased expenses by $ 105 million ."]]}, "answers": ["25%"]}, "rejected_source": {"id": "UNP/2014/page_30.pdf-3", "qa": {"question": "what percentage of total operating expenses was fuel in 2014?", "answer": "23%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3539", "arg2": "15235", "res": "23%"}], "program": "divide(3539, 15235)", "gold_inds": {"table_2": "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;", "table_7": "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"}, "exe_ans": 0.23229, "tfidftopn": {"text_19": "expenses for purchased services increased 8% ( 8 % ) compared to 2013 primarily due to volume- 2014 operating expenses ."}, "program_re": "divide(3539, 15235)", "model_input": [["table_2", "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;"], ["table_4", "millions the depreciation of 2014 is 1904 ; the depreciation of 2013 is 1777 ; the depreciation of 2012 is 1760 ; the depreciation of % ( % ) change 2014 v 2013 is 7 ; the depreciation of % ( % ) change 2013 v 2012 is 1 ;"], ["table_7", "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"]]}, "answers": ["23%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001320", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total operating expenses was fuel in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "25%.", "rejected": "24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total operating expenses was fuel <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total operating expenses was fuel <TIME>?", "original_question": "what percentage of total operating expenses was fuel in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "24%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "23%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "UNP/2013/page_29.pdf-2", "qa": {"question": "what percentage of total operating expenses was fuel in 2012?", "answer": "25%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3608", "arg2": "14181", "res": "25%"}], "program": "divide(3608, 14181)", "gold_inds": {"table_2": "millions the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of 2011 is 3581 ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ; the fuel of % ( % ) change 2012 v 2011 is 1 ;", "table_7": "millions the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of 2011 is $ 13833 ; the total of % ( % ) change 2013 v 2012 is 2 % ( % ) ; the total of % ( % ) change 2012 v 2011 is 3% ( 3 % ) ;"}, "exe_ans": 0.25442, "tfidftopn": {"text_0": "operating expenses millions 2013 2012 2011 % (  % ) change 2013 v 2012 % (  % ) change 2012 v 2011 ."}, "program_re": "divide(3608, 14181)", "model_input": [["table_2", "millions the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of 2011 is 3581 ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ; the fuel of % ( % ) change 2012 v 2011 is 1 ;"], ["table_7", "millions the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of 2011 is $ 13833 ; the total of % ( % ) change 2013 v 2012 is 2 % ( % ) ; the total of % ( % ) change 2012 v 2011 is 3% ( 3 % ) ;"], ["text_16", "higher locomotive diesel fuel prices , which averaged $ 3.22 per gallon ( including taxes and transportation costs ) in 2012 , compared to $ 3.12 in 2011 , increased expenses by $ 105 million ."]]}, "answers": ["25%"]}, "rejected_source": {"id": "UNP/2014/page_30.pdf-4", "qa": {"question": "what percentage of total operating expenses was fuel in 2013?", "answer": "24%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3534", "arg2": "14517", "res": "24%"}], "program": "divide(3534, 14517)", "gold_inds": {"table_2": "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;", "table_7": "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"}, "exe_ans": 0.24344, "tfidftopn": {"text_0": "operating expenses millions 2014 2013 2012 % (  % ) change 2014 v 2013 % (  % ) change 2013 v 2012 ."}, "program_re": "divide(3534, 14517)", "model_input": [["table_2", "millions the fuel of 2014 is 3539 ; the fuel of 2013 is 3534 ; the fuel of 2012 is 3608 ; the fuel of % ( % ) change 2014 v 2013 is - ; the fuel of % ( % ) change 2013 v 2012 is -2 ( 2 ) ;"], ["table_4", "millions the depreciation of 2014 is 1904 ; the depreciation of 2013 is 1777 ; the depreciation of 2012 is 1760 ; the depreciation of % ( % ) change 2014 v 2013 is 7 ; the depreciation of % ( % ) change 2013 v 2012 is 1 ;"], ["table_7", "millions the total of 2014 is $ 15235 ; the total of 2013 is $ 14517 ; the total of 2012 is $ 14181 ; the total of % ( % ) change 2014 v 2013 is 5% ( 5 % ) ; the total of % ( % ) change 2013 v 2012 is 2% ( 2 % ) ;"]]}, "answers": ["24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001321", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-2%.", "rejected": "21%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations <TIME>?", "original_question": "what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"21%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-2%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "PPG/2012/page_76.pdf-4", "qa": {"question": "what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations from 2011 to 2012?", "answer": "-2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1700", "arg2": "1741", "res": "-41"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1741", "res": "-2%"}], "program": "subtract(1700, 1741), divide(#0, 1741)", "gold_inds": {"table_1": "millions the net sales of year-ended 2012 is $ 1700 ; the net sales of year-ended 2011 is $ 1741 ; the net sales of year-ended 2010 is $ 1441 ;"}, "exe_ans": -0.02355, "tfidftopn": {"text_20": "the net sales and income before income taxes of the commodity chemicals business that will be reclassified and reported as discontinued operations are presented in the table below for the years ended december 31 , 2012 , 2011 and 2010: .", "text_19": "in the ppg results for prior periods , presented for comparative purposes beginning with the first quarter 2013 , the results of its former commodity chemicals business will be reclassified from continuing operations and presented as the results from discontinued operations ."}, "program_re": "divide(subtract(1700, 1741), 1741)", "model_input": [["text_20", "the net sales and income before income taxes of the commodity chemicals business that will be reclassified and reported as discontinued operations are presented in the table below for the years ended december 31 , 2012 , 2011 and 2010: ."], ["table_1", "millions the net sales of year-ended 2012 is $ 1700 ; the net sales of year-ended 2011 is $ 1741 ; the net sales of year-ended 2010 is $ 1441 ;"], ["text_21", "income before income taxes for the year ended december 31 , 2012 , 2011 and 2010 is $ 4 million lower , $ 6 million higher and $ 2 million lower , respectively , than segment earnings for the ppg commodity chemicals segment reported for these periods ."]]}, "answers": ["-2%"]}, "rejected_source": {"id": "PPG/2012/page_76.pdf-3", "qa": {"question": "what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations from 2010 to 2011?", "answer": "21%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1741", "arg2": "1441", "res": "300"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1441", "res": "21%"}], "program": "subtract(1741, 1441), divide(#0, 1441)", "gold_inds": {"table_1": "millions the net sales of year-ended 2012 is $ 1700 ; the net sales of year-ended 2011 is $ 1741 ; the net sales of year-ended 2010 is $ 1441 ;"}, "exe_ans": 0.20819, "tfidftopn": {"text_20": "the net sales and income before income taxes of the commodity chemicals business that will be reclassified and reported as discontinued operations are presented in the table below for the years ended december 31 , 2012 , 2011 and 2010: .", "text_19": "in the ppg results for prior periods , presented for comparative purposes beginning with the first quarter 2013 , the results of its former commodity chemicals business will be reclassified from continuing operations and presented as the results from discontinued operations ."}, "program_re": "divide(subtract(1741, 1441), 1441)", "model_input": [["text_20", "the net sales and income before income taxes of the commodity chemicals business that will be reclassified and reported as discontinued operations are presented in the table below for the years ended december 31 , 2012 , 2011 and 2010: ."], ["table_1", "millions the net sales of year-ended 2012 is $ 1700 ; the net sales of year-ended 2011 is $ 1741 ; the net sales of year-ended 2010 is $ 1441 ;"], ["text_21", "income before income taxes for the year ended december 31 , 2012 , 2011 and 2010 is $ 4 million lower , $ 6 million higher and $ 2 million lower , respectively , than segment earnings for the ppg commodity chemicals segment reported for these periods ."]]}, "answers": ["21%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001322", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "21%.", "rejected": "-2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations <TIME>?", "original_question": "what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"21%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-2%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "PPG/2012/page_76.pdf-3", "qa": {"question": "what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations from 2010 to 2011?", "answer": "21%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1741", "arg2": "1441", "res": "300"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1441", "res": "21%"}], "program": "subtract(1741, 1441), divide(#0, 1441)", "gold_inds": {"table_1": "millions the net sales of year-ended 2012 is $ 1700 ; the net sales of year-ended 2011 is $ 1741 ; the net sales of year-ended 2010 is $ 1441 ;"}, "exe_ans": 0.20819, "tfidftopn": {"text_20": "the net sales and income before income taxes of the commodity chemicals business that will be reclassified and reported as discontinued operations are presented in the table below for the years ended december 31 , 2012 , 2011 and 2010: .", "text_19": "in the ppg results for prior periods , presented for comparative purposes beginning with the first quarter 2013 , the results of its former commodity chemicals business will be reclassified from continuing operations and presented as the results from discontinued operations ."}, "program_re": "divide(subtract(1741, 1441), 1441)", "model_input": [["text_20", "the net sales and income before income taxes of the commodity chemicals business that will be reclassified and reported as discontinued operations are presented in the table below for the years ended december 31 , 2012 , 2011 and 2010: ."], ["table_1", "millions the net sales of year-ended 2012 is $ 1700 ; the net sales of year-ended 2011 is $ 1741 ; the net sales of year-ended 2010 is $ 1441 ;"], ["text_21", "income before income taxes for the year ended december 31 , 2012 , 2011 and 2010 is $ 4 million lower , $ 6 million higher and $ 2 million lower , respectively , than segment earnings for the ppg commodity chemicals segment reported for these periods ."]]}, "answers": ["21%"]}, "rejected_source": {"id": "PPG/2012/page_76.pdf-4", "qa": {"question": "what was the percentage change in net sales of the commodity chemicals business that will be reclassified and reported as discontinued operations from 2011 to 2012?", "answer": "-2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1700", "arg2": "1741", "res": "-41"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1741", "res": "-2%"}], "program": "subtract(1700, 1741), divide(#0, 1741)", "gold_inds": {"table_1": "millions the net sales of year-ended 2012 is $ 1700 ; the net sales of year-ended 2011 is $ 1741 ; the net sales of year-ended 2010 is $ 1441 ;"}, "exe_ans": -0.02355, "tfidftopn": {"text_20": "the net sales and income before income taxes of the commodity chemicals business that will be reclassified and reported as discontinued operations are presented in the table below for the years ended december 31 , 2012 , 2011 and 2010: .", "text_19": "in the ppg results for prior periods , presented for comparative purposes beginning with the first quarter 2013 , the results of its former commodity chemicals business will be reclassified from continuing operations and presented as the results from discontinued operations ."}, "program_re": "divide(subtract(1700, 1741), 1741)", "model_input": [["text_20", "the net sales and income before income taxes of the commodity chemicals business that will be reclassified and reported as discontinued operations are presented in the table below for the years ended december 31 , 2012 , 2011 and 2010: ."], ["table_1", "millions the net sales of year-ended 2012 is $ 1700 ; the net sales of year-ended 2011 is $ 1741 ; the net sales of year-ended 2010 is $ 1441 ;"], ["text_21", "income before income taxes for the year ended december 31 , 2012 , 2011 and 2010 is $ 4 million lower , $ 6 million higher and $ 2 million lower , respectively , than segment earnings for the ppg commodity chemicals segment reported for these periods ."]]}, "answers": ["-2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001323", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total tobacco-related cases pending in the united states as of december 31 , 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "85.", "rejected": "89.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what is the total tobacco-related cases pending in the united states as of december 31 , <TIME>?", "doc_prefix": "MO", "base_question": "what is the total tobacco-related cases pending in the united states as of december 31 , <TIME>?", "original_question": "what is the total tobacco-related cases pending in the united states as of december 31 , 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"89": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "MO/2014/page_76.pdf-1", "qa": {"question": "what is the total tobacco-related cases pending in the united states as of december 31 , 2014?", "answer": "85", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "67", "arg2": "5", "res": "72"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "73"}, {"op": "add1-3", "arg1": "#1", "arg2": "12", "res": "85"}], "program": "add(67, 5), add(#0, 1), add(#1, 12)", "gold_inds": {"table_1": "type of case the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2014 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2013 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2012 is 77 ;", "table_2": "type of case the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2014 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2013 is 6 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2012 is 7 ;", "table_3": "type of case the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2014 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2013 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2012 is 1 ;", "table_4": "type of case the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2014 is 12 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2013 is 15 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2012 is 14 ;"}, "exe_ans": 85.0, "tfidftopn": {}, "program_re": "add(add(add(67, 5), 1), 12)", "model_input": [["table_1", "type of case the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2014 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2013 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2012 is 77 ;"], ["table_2", "type of case the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2014 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2013 is 6 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2012 is 7 ;"], ["table_3", "type of case the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2014 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2013 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2012 is 1 ;"], ["table_4", "type of case the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2014 is 12 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2013 is 15 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2012 is 14 ;"]]}, "answers": ["85"]}, "rejected_source": {"id": "MO/2014/page_76.pdf-2", "qa": {"question": "what is the total tobacco-related cases pending in the united states as of december 31 , 2013?", "answer": "89", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "67", "arg2": "6", "res": "73"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "74"}, {"op": "add2-3", "arg1": "#1", "arg2": "15", "res": "89"}], "program": "add(67, 6), add(#0, 1), add(#1, 15)", "gold_inds": {"table_1": "type of case the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2014 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2013 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2012 is 77 ;", "table_2": "type of case the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2014 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2013 is 6 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2012 is 7 ;", "table_3": "type of case the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2014 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2013 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2012 is 1 ;", "table_4": "type of case the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2014 is 12 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2013 is 15 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2012 is 14 ;"}, "exe_ans": 89.0, "tfidftopn": {}, "program_re": "add(add(add(67, 6), 1), 15)", "model_input": [["table_1", "type of case the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2014 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2013 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2012 is 77 ;"], ["table_2", "type of case the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2014 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2013 is 6 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2012 is 7 ;"], ["table_3", "type of case the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2014 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2013 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2012 is 1 ;"], ["table_4", "type of case the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2014 is 12 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2013 is 15 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2012 is 14 ;"]]}, "answers": ["89"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001324", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the total tobacco-related cases pending in the united states as of december 31 , 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "89.", "rejected": "85.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what is the total tobacco-related cases pending in the united states as of december 31 , <TIME>?", "doc_prefix": "MO", "base_question": "what is the total tobacco-related cases pending in the united states as of december 31 , <TIME>?", "original_question": "what is the total tobacco-related cases pending in the united states as of december 31 , 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"89": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "85": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "MO/2014/page_76.pdf-2", "qa": {"question": "what is the total tobacco-related cases pending in the united states as of december 31 , 2013?", "answer": "89", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "67", "arg2": "6", "res": "73"}, {"op": "add2-2", "arg1": "#0", "arg2": "1", "res": "74"}, {"op": "add2-3", "arg1": "#1", "arg2": "15", "res": "89"}], "program": "add(67, 6), add(#0, 1), add(#1, 15)", "gold_inds": {"table_1": "type of case the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2014 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2013 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2012 is 77 ;", "table_2": "type of case the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2014 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2013 is 6 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2012 is 7 ;", "table_3": "type of case the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2014 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2013 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2012 is 1 ;", "table_4": "type of case the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2014 is 12 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2013 is 15 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2012 is 14 ;"}, "exe_ans": 89.0, "tfidftopn": {}, "program_re": "add(add(add(67, 6), 1), 15)", "model_input": [["table_1", "type of case the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2014 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2013 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2012 is 77 ;"], ["table_2", "type of case the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2014 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2013 is 6 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2012 is 7 ;"], ["table_3", "type of case the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2014 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2013 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2012 is 1 ;"], ["table_4", "type of case the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2014 is 12 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2013 is 15 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2012 is 14 ;"]]}, "answers": ["89"]}, "rejected_source": {"id": "MO/2014/page_76.pdf-1", "qa": {"question": "what is the total tobacco-related cases pending in the united states as of december 31 , 2014?", "answer": "85", "explanation": "", "ann_table_rows": [1, 2, 3, 4], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "67", "arg2": "5", "res": "72"}, {"op": "add1-2", "arg1": "#0", "arg2": "1", "res": "73"}, {"op": "add1-3", "arg1": "#1", "arg2": "12", "res": "85"}], "program": "add(67, 5), add(#0, 1), add(#1, 12)", "gold_inds": {"table_1": "type of case the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2014 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2013 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2012 is 77 ;", "table_2": "type of case the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2014 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2013 is 6 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2012 is 7 ;", "table_3": "type of case the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2014 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2013 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2012 is 1 ;", "table_4": "type of case the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2014 is 12 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2013 is 15 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2012 is 14 ;"}, "exe_ans": 85.0, "tfidftopn": {}, "program_re": "add(add(add(67, 5), 1), 12)", "model_input": [["table_1", "type of case the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2014 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2013 is 67 ; the individual smoking and health cases ( 1 ) of number of casespending as ofdecember 31 2012 is 77 ;"], ["table_2", "type of case the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2014 is 5 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2013 is 6 ; the smoking and health class actions and aggregated claims litigation ( 2 ) of number of casespending as ofdecember 31 2012 is 7 ;"], ["table_3", "type of case the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2014 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2013 is 1 ; the health care cost recovery actions ( 3 ) of number of casespending as ofdecember 31 2012 is 1 ;"], ["table_4", "type of case the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2014 is 12 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2013 is 15 ; the 201clights/ultra lights 201d class actions of number of casespending as ofdecember 31 2012 is 14 ;"]]}, "answers": ["85"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001325", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the net mark-to-market loss were driven by cost of good sold in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "48.3%.", "rejected": "68.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAT || what portion of the net mark-to-market loss were driven by cost of good sold <TIME>?", "doc_prefix": "CAT", "base_question": "what portion of the net mark-to-market loss were driven by cost of good sold <TIME>?", "original_question": "what portion of the net mark-to-market loss were driven by cost of good sold in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"68.2%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "48.3%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "CAT/2017/page_69.pdf-4", "qa": {"question": "what portion of the net mark-to-market loss were driven by cost of good sold in 2016?", "answer": "48.3%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "476", "arg2": "985", "res": "48.3%"}], "program": "divide(476, 985)", "gold_inds": {"table_1": "( millions of dollars ) the cost of goods sold of years ended december 31 , 2017 is $ -29 ( 29 ) ; the cost of goods sold of years ended december 31 , 2016 is $ 476 ; the cost of goods sold of years ended december 31 , 2015 is $ 122 ;", "table_4": "( millions of dollars ) the total of years ended december 31 , 2017 is $ 301 ; the total of years ended december 31 , 2016 is $ 985 ; the total of years ended december 31 , 2015 is $ 179 ;"}, "exe_ans": 0.48325, "tfidftopn": {"text_4": "the net mark-to-market losses were in the following results of operations line items: ."}, "program_re": "divide(476, 985)", "model_input": [["text_2", "2022 2015 net mark-to-market loss of $ 179 million - primarily due to the difference between the actual return on plan assets compared to the expected return on plan assets ( u.s ."], ["table_1", "( millions of dollars ) the cost of goods sold of years ended december 31 , 2017 is $ -29 ( 29 ) ; the cost of goods sold of years ended december 31 , 2016 is $ 476 ; the cost of goods sold of years ended december 31 , 2015 is $ 122 ;"], ["table_4", "( millions of dollars ) the total of years ended december 31 , 2017 is $ 301 ; the total of years ended december 31 , 2016 is $ 985 ; the total of years ended december 31 , 2015 is $ 179 ;"]]}, "answers": ["48.3%"]}, "rejected_source": {"id": "CAT/2017/page_69.pdf-3", "qa": {"question": "what portion of the net mark-to-market loss were driven by cost of good sold in 2015?", "answer": "68.2%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "122", "arg2": "179", "res": "68.2%"}], "program": "divide(122, 179)", "gold_inds": {"table_1": "( millions of dollars ) the cost of goods sold of years ended december 31 , 2017 is $ -29 ( 29 ) ; the cost of goods sold of years ended december 31 , 2016 is $ 476 ; the cost of goods sold of years ended december 31 , 2015 is $ 122 ;", "table_4": "( millions of dollars ) the total of years ended december 31 , 2017 is $ 301 ; the total of years ended december 31 , 2016 is $ 985 ; the total of years ended december 31 , 2015 is $ 179 ;"}, "exe_ans": 0.68156, "tfidftopn": {"text_2": "2022 2015 net mark-to-market loss of $ 179 million - primarily due to the difference between the actual return on plan assets compared to the expected return on plan assets ( u.s ."}, "program_re": "divide(122, 179)", "model_input": [["text_2", "2022 2015 net mark-to-market loss of $ 179 million - primarily due to the difference between the actual return on plan assets compared to the expected return on plan assets ( u.s ."], ["table_1", "( millions of dollars ) the cost of goods sold of years ended december 31 , 2017 is $ -29 ( 29 ) ; the cost of goods sold of years ended december 31 , 2016 is $ 476 ; the cost of goods sold of years ended december 31 , 2015 is $ 122 ;"], ["table_4", "( millions of dollars ) the total of years ended december 31 , 2017 is $ 301 ; the total of years ended december 31 , 2016 is $ 985 ; the total of years ended december 31 , 2015 is $ 179 ;"]]}, "answers": ["68.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001326", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the net mark-to-market loss were driven by cost of good sold in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "68.2%.", "rejected": "48.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAT || what portion of the net mark-to-market loss were driven by cost of good sold <TIME>?", "doc_prefix": "CAT", "base_question": "what portion of the net mark-to-market loss were driven by cost of good sold <TIME>?", "original_question": "what portion of the net mark-to-market loss were driven by cost of good sold in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"68.2%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "48.3%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "CAT/2017/page_69.pdf-3", "qa": {"question": "what portion of the net mark-to-market loss were driven by cost of good sold in 2015?", "answer": "68.2%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "122", "arg2": "179", "res": "68.2%"}], "program": "divide(122, 179)", "gold_inds": {"table_1": "( millions of dollars ) the cost of goods sold of years ended december 31 , 2017 is $ -29 ( 29 ) ; the cost of goods sold of years ended december 31 , 2016 is $ 476 ; the cost of goods sold of years ended december 31 , 2015 is $ 122 ;", "table_4": "( millions of dollars ) the total of years ended december 31 , 2017 is $ 301 ; the total of years ended december 31 , 2016 is $ 985 ; the total of years ended december 31 , 2015 is $ 179 ;"}, "exe_ans": 0.68156, "tfidftopn": {"text_2": "2022 2015 net mark-to-market loss of $ 179 million - primarily due to the difference between the actual return on plan assets compared to the expected return on plan assets ( u.s ."}, "program_re": "divide(122, 179)", "model_input": [["text_2", "2022 2015 net mark-to-market loss of $ 179 million - primarily due to the difference between the actual return on plan assets compared to the expected return on plan assets ( u.s ."], ["table_1", "( millions of dollars ) the cost of goods sold of years ended december 31 , 2017 is $ -29 ( 29 ) ; the cost of goods sold of years ended december 31 , 2016 is $ 476 ; the cost of goods sold of years ended december 31 , 2015 is $ 122 ;"], ["table_4", "( millions of dollars ) the total of years ended december 31 , 2017 is $ 301 ; the total of years ended december 31 , 2016 is $ 985 ; the total of years ended december 31 , 2015 is $ 179 ;"]]}, "answers": ["68.2%"]}, "rejected_source": {"id": "CAT/2017/page_69.pdf-4", "qa": {"question": "what portion of the net mark-to-market loss were driven by cost of good sold in 2016?", "answer": "48.3%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "476", "arg2": "985", "res": "48.3%"}], "program": "divide(476, 985)", "gold_inds": {"table_1": "( millions of dollars ) the cost of goods sold of years ended december 31 , 2017 is $ -29 ( 29 ) ; the cost of goods sold of years ended december 31 , 2016 is $ 476 ; the cost of goods sold of years ended december 31 , 2015 is $ 122 ;", "table_4": "( millions of dollars ) the total of years ended december 31 , 2017 is $ 301 ; the total of years ended december 31 , 2016 is $ 985 ; the total of years ended december 31 , 2015 is $ 179 ;"}, "exe_ans": 0.48325, "tfidftopn": {"text_4": "the net mark-to-market losses were in the following results of operations line items: ."}, "program_re": "divide(476, 985)", "model_input": [["text_2", "2022 2015 net mark-to-market loss of $ 179 million - primarily due to the difference between the actual return on plan assets compared to the expected return on plan assets ( u.s ."], ["table_1", "( millions of dollars ) the cost of goods sold of years ended december 31 , 2017 is $ -29 ( 29 ) ; the cost of goods sold of years ended december 31 , 2016 is $ 476 ; the cost of goods sold of years ended december 31 , 2015 is $ 122 ;"], ["table_4", "( millions of dollars ) the total of years ended december 31 , 2017 is $ 301 ; the total of years ended december 31 , 2016 is $ 985 ; the total of years ended december 31 , 2015 is $ 179 ;"]]}, "answers": ["48.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001327", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in brent oil prices from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "24.0%.", "rejected": "31.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BKR || what is the growth rate in brent oil prices <TIME>?", "doc_prefix": "BKR", "base_question": "what is the growth rate in brent oil prices <TIME>?", "original_question": "what is the growth rate in brent oil prices from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"24.0%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "31.8%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "BKR/2018/page_51.pdf-4", "qa": {"question": "what is the growth rate in brent oil prices from 2016 to 2017?", "answer": "24.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "54.12", "arg2": "43.64", "res": "10.48"}, {"op": "divide2-2", "arg1": "#0", "arg2": "43.64", "res": "24.0%"}], "program": "subtract(54.12, 43.64), divide(#0, 43.64)", "gold_inds": {"table_1": "the brent oil prices ( $ /bbl ) ( 1 ) of 2018 is $ 71.34 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2017 is $ 54.12 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2016 is $ 43.64 ;"}, "exe_ans": 0.24015, "tfidftopn": {"table_2": "The wti oil prices ( $ /bbl ) ( 2 ) of 2018 is 65.23 ; The wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; The wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ;", "text_12": "for the first three quarters of 2018 , brent oil prices increased sequentially ."}, "program_re": "divide(subtract(54.12, 43.64), 43.64)", "model_input": [["table_1", "the brent oil prices ( $ /bbl ) ( 1 ) of 2018 is $ 71.34 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2017 is $ 54.12 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2016 is $ 43.64 ;"], ["text_5", "brent oil prices ( $ /bbl ) ( 1 ) $ 71.34 $ 54.12 $ 43.64 wti oil prices ( $ /bbl ) ( 2 ) 65.23 50.80 43.29 natural gas prices ( $ /mmbtu ) ( 3 ) 3.15 2.99 2.52 ( 1 ) energy information administration ( eia ) europe brent spot price per barrel ( 2 ) eia cushing , ok wti ( west texas intermediate ) spot price ( 3 ) eia henry hub natural gas spot price per million british thermal unit 2018 demonstrated the volatility of the oil and gas market ."], ["text_11", "average brent oil prices increased to $ 71.34/bbl in 2018 from $ 54.12/bbl in 2017 , and ranged from a low of $ 50.57/bbl in december 2018 , to a high of $ 86.07/bbl in october 2018 ."]]}, "answers": ["24.0%"]}, "rejected_source": {"id": "BKR/2018/page_51.pdf-3", "qa": {"question": "what is the growth rate in brent oil prices from 2017 to 2018?", "answer": "31.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "71.34", "arg2": "54.12", "res": "17.22"}, {"op": "divide1-2", "arg1": "#0", "arg2": "54.12", "res": "31.8%"}], "program": "subtract(71.34, 54.12), divide(#0, 54.12)", "gold_inds": {"table_1": "the brent oil prices ( $ /bbl ) ( 1 ) of 2018 is $ 71.34 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2017 is $ 54.12 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2016 is $ 43.64 ;"}, "exe_ans": 0.31818, "tfidftopn": {"text_12": "for the first three quarters of 2018 , brent oil prices increased sequentially .", "table_2": "The wti oil prices ( $ /bbl ) ( 2 ) of 2018 is 65.23 ; The wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; The wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ;"}, "program_re": "divide(subtract(71.34, 54.12), 54.12)", "model_input": [["table_1", "the brent oil prices ( $ /bbl ) ( 1 ) of 2018 is $ 71.34 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2017 is $ 54.12 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2016 is $ 43.64 ;"], ["text_5", "brent oil prices ( $ /bbl ) ( 1 ) $ 71.34 $ 54.12 $ 43.64 wti oil prices ( $ /bbl ) ( 2 ) 65.23 50.80 43.29 natural gas prices ( $ /mmbtu ) ( 3 ) 3.15 2.99 2.52 ( 1 ) energy information administration ( eia ) europe brent spot price per barrel ( 2 ) eia cushing , ok wti ( west texas intermediate ) spot price ( 3 ) eia henry hub natural gas spot price per million british thermal unit 2018 demonstrated the volatility of the oil and gas market ."], ["text_11", "average brent oil prices increased to $ 71.34/bbl in 2018 from $ 54.12/bbl in 2017 , and ranged from a low of $ 50.57/bbl in december 2018 , to a high of $ 86.07/bbl in october 2018 ."]]}, "answers": ["31.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001328", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in brent oil prices from 2017 to 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "31.8%.", "rejected": "24.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BKR || what is the growth rate in brent oil prices <TIME>?", "doc_prefix": "BKR", "base_question": "what is the growth rate in brent oil prices <TIME>?", "original_question": "what is the growth rate in brent oil prices from 2017 to 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"24.0%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}, {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "31.8%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "BKR/2018/page_51.pdf-3", "qa": {"question": "what is the growth rate in brent oil prices from 2017 to 2018?", "answer": "31.8%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "71.34", "arg2": "54.12", "res": "17.22"}, {"op": "divide1-2", "arg1": "#0", "arg2": "54.12", "res": "31.8%"}], "program": "subtract(71.34, 54.12), divide(#0, 54.12)", "gold_inds": {"table_1": "the brent oil prices ( $ /bbl ) ( 1 ) of 2018 is $ 71.34 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2017 is $ 54.12 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2016 is $ 43.64 ;"}, "exe_ans": 0.31818, "tfidftopn": {"text_12": "for the first three quarters of 2018 , brent oil prices increased sequentially .", "table_2": "The wti oil prices ( $ /bbl ) ( 2 ) of 2018 is 65.23 ; The wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; The wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ;"}, "program_re": "divide(subtract(71.34, 54.12), 54.12)", "model_input": [["table_1", "the brent oil prices ( $ /bbl ) ( 1 ) of 2018 is $ 71.34 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2017 is $ 54.12 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2016 is $ 43.64 ;"], ["text_5", "brent oil prices ( $ /bbl ) ( 1 ) $ 71.34 $ 54.12 $ 43.64 wti oil prices ( $ /bbl ) ( 2 ) 65.23 50.80 43.29 natural gas prices ( $ /mmbtu ) ( 3 ) 3.15 2.99 2.52 ( 1 ) energy information administration ( eia ) europe brent spot price per barrel ( 2 ) eia cushing , ok wti ( west texas intermediate ) spot price ( 3 ) eia henry hub natural gas spot price per million british thermal unit 2018 demonstrated the volatility of the oil and gas market ."], ["text_11", "average brent oil prices increased to $ 71.34/bbl in 2018 from $ 54.12/bbl in 2017 , and ranged from a low of $ 50.57/bbl in december 2018 , to a high of $ 86.07/bbl in october 2018 ."]]}, "answers": ["31.8%"]}, "rejected_source": {"id": "BKR/2018/page_51.pdf-4", "qa": {"question": "what is the growth rate in brent oil prices from 2016 to 2017?", "answer": "24.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "54.12", "arg2": "43.64", "res": "10.48"}, {"op": "divide2-2", "arg1": "#0", "arg2": "43.64", "res": "24.0%"}], "program": "subtract(54.12, 43.64), divide(#0, 43.64)", "gold_inds": {"table_1": "the brent oil prices ( $ /bbl ) ( 1 ) of 2018 is $ 71.34 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2017 is $ 54.12 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2016 is $ 43.64 ;"}, "exe_ans": 0.24015, "tfidftopn": {"table_2": "The wti oil prices ( $ /bbl ) ( 2 ) of 2018 is 65.23 ; The wti oil prices ( $ /bbl ) ( 2 ) of 2017 is 50.80 ; The wti oil prices ( $ /bbl ) ( 2 ) of 2016 is 43.29 ;", "text_12": "for the first three quarters of 2018 , brent oil prices increased sequentially ."}, "program_re": "divide(subtract(54.12, 43.64), 43.64)", "model_input": [["table_1", "the brent oil prices ( $ /bbl ) ( 1 ) of 2018 is $ 71.34 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2017 is $ 54.12 ; the brent oil prices ( $ /bbl ) ( 1 ) of 2016 is $ 43.64 ;"], ["text_5", "brent oil prices ( $ /bbl ) ( 1 ) $ 71.34 $ 54.12 $ 43.64 wti oil prices ( $ /bbl ) ( 2 ) 65.23 50.80 43.29 natural gas prices ( $ /mmbtu ) ( 3 ) 3.15 2.99 2.52 ( 1 ) energy information administration ( eia ) europe brent spot price per barrel ( 2 ) eia cushing , ok wti ( west texas intermediate ) spot price ( 3 ) eia henry hub natural gas spot price per million british thermal unit 2018 demonstrated the volatility of the oil and gas market ."], ["text_11", "average brent oil prices increased to $ 71.34/bbl in 2018 from $ 54.12/bbl in 2017 , and ranged from a low of $ 50.57/bbl in december 2018 , to a high of $ 86.07/bbl in october 2018 ."]]}, "answers": ["24.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001329", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in equipment rents payable from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "5%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in equipment rents payable <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in equipment rents payable <TIME>?", "original_question": "what was the percentage change in equipment rents payable from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "5%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "UNP/2015/page_76.pdf-3", "qa": {"question": "what was the percentage change in equipment rents payable from 2014 to 2015?", "answer": "5%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "105", "arg2": "100", "res": "5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "5%"}], "program": "subtract(105, 100), divide(#0, 100)", "gold_inds": {"table_6": "millions the equipment rents payable of dec . 31 2015 is 105 ; the equipment rents payable of dec . 31 2014 is 100 ;"}, "exe_ans": 0.05, "tfidftopn": {"table_4": "millions The interest payable of dec . 31 2015 is 208 ; The interest payable of dec . 31 2014 is 178 ;", "text_7": "31 , millions 2015 2014 ."}, "program_re": "divide(subtract(105, 100), 100)", "model_input": [["table_1", "millions the accounts payable of dec . 31 2015 is $ 743 ; the accounts payable of dec . 31 2014 is $ 877 ;"], ["table_4", "millions the interest payable of dec . 31 2015 is 208 ; the interest payable of dec . 31 2014 is 178 ;"], ["table_6", "millions the equipment rents payable of dec . 31 2015 is 105 ; the equipment rents payable of dec . 31 2014 is 100 ;"]]}, "answers": ["5%"]}, "rejected_source": {"id": "UNP/2012/page_74.pdf-2", "qa": {"question": "what was the percentage change in equipment rents payable from 2011 to 2012?", "answer": "6%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "95", "arg2": "90", "res": "5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "90", "res": "6%"}], "program": "subtract(95, 90), divide(#0, 90)", "gold_inds": {"table_7": "millions the equipment rents payable of dec . 31 2012 is 95 ; the equipment rents payable of dec . 312011 is 90 ;"}, "exe_ans": 0.05556, "tfidftopn": {"text_25": "31 , millions 2012 2011 .", "table_6": "millions The interest payable of dec . 31 2012 is 172 ; The interest payable of dec . 312011 is 197 ;"}, "program_re": "divide(subtract(95, 90), 90)", "model_input": [["table_1", "millions the accounts payable of dec . 31 2012 is $ 825 ; the accounts payable of dec . 312011 is $ 819 ;"], ["table_4", "millions the dividends payable of dec . 31 2012 is 318 ; the dividends payable of dec . 312011 is 284 ;"], ["table_7", "millions the equipment rents payable of dec . 31 2012 is 95 ; the equipment rents payable of dec . 312011 is 90 ;"]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001330", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in equipment rents payable from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "6%.", "rejected": "5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in equipment rents payable <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in equipment rents payable <TIME>?", "original_question": "what was the percentage change in equipment rents payable from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "5%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "UNP/2012/page_74.pdf-2", "qa": {"question": "what was the percentage change in equipment rents payable from 2011 to 2012?", "answer": "6%", "explanation": "", "ann_table_rows": [7], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "95", "arg2": "90", "res": "5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "90", "res": "6%"}], "program": "subtract(95, 90), divide(#0, 90)", "gold_inds": {"table_7": "millions the equipment rents payable of dec . 31 2012 is 95 ; the equipment rents payable of dec . 312011 is 90 ;"}, "exe_ans": 0.05556, "tfidftopn": {"text_25": "31 , millions 2012 2011 .", "table_6": "millions The interest payable of dec . 31 2012 is 172 ; The interest payable of dec . 312011 is 197 ;"}, "program_re": "divide(subtract(95, 90), 90)", "model_input": [["table_1", "millions the accounts payable of dec . 31 2012 is $ 825 ; the accounts payable of dec . 312011 is $ 819 ;"], ["table_4", "millions the dividends payable of dec . 31 2012 is 318 ; the dividends payable of dec . 312011 is 284 ;"], ["table_7", "millions the equipment rents payable of dec . 31 2012 is 95 ; the equipment rents payable of dec . 312011 is 90 ;"]]}, "answers": ["6%"]}, "rejected_source": {"id": "UNP/2015/page_76.pdf-3", "qa": {"question": "what was the percentage change in equipment rents payable from 2014 to 2015?", "answer": "5%", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "105", "arg2": "100", "res": "5"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "5%"}], "program": "subtract(105, 100), divide(#0, 100)", "gold_inds": {"table_6": "millions the equipment rents payable of dec . 31 2015 is 105 ; the equipment rents payable of dec . 31 2014 is 100 ;"}, "exe_ans": 0.05, "tfidftopn": {"table_4": "millions The interest payable of dec . 31 2015 is 208 ; The interest payable of dec . 31 2014 is 178 ;", "text_7": "31 , millions 2015 2014 ."}, "program_re": "divide(subtract(105, 100), 100)", "model_input": [["table_1", "millions the accounts payable of dec . 31 2015 is $ 743 ; the accounts payable of dec . 31 2014 is $ 877 ;"], ["table_4", "millions the interest payable of dec . 31 2015 is 208 ; the interest payable of dec . 31 2014 is 178 ;"], ["table_6", "millions the equipment rents payable of dec . 31 2015 is 105 ; the equipment rents payable of dec . 31 2014 is 100 ;"]]}, "answers": ["5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001331", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating revenue from 2001 to 2002?\nReference time interval: 2001-01-01 00:00:00 to 2003-01-01 00:00:00", "chosen": "-3.3%.", "rejected": "25.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "D || what is the growth rate in operating revenue <TIME>?", "doc_prefix": "D", "base_question": "what is the growth rate in operating revenue <TIME>?", "original_question": "what is the growth rate in operating revenue from 2001 to 2002?", "reference_time": {"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25.5%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "-3.3%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}]}, "chosen_source": {"id": "D/2002/page_39.pdf-4", "qa": {"question": "what is the growth rate in operating revenue from 2001 to 2002?", "answer": "-3.3%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5940", "arg2": "6144", "res": "-204"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6144", "res": "-3.3%"}], "program": "subtract(5940, 6144), divide(#0, 6144)", "gold_inds": {"table_1": "( millions except pershare amounts ) the operating revenue of 2002 is $ 5940 ; the operating revenue of 2001 is $ 6144 ; the operating revenue of 2000 is $ 4894 ;"}, "exe_ans": -0.0332, "tfidftopn": {"table_2": "( millions except pershare amounts ) The operating expenses of 2002 is 4520 ; The operating expenses of 2001 is 4749 ; The operating expenses of 2000 is 3939 ;", "text_5": "net income for 2002 reflected lower operating revenue ( $ 204 million ) , operating expenses ( $ 229 million ) and other income ( $ 27 million ) ."}, "program_re": "divide(subtract(5940, 6144), 6144)", "model_input": [["table_1", "( millions except pershare amounts ) the operating revenue of 2002 is $ 5940 ; the operating revenue of 2001 is $ 6144 ; the operating revenue of 2000 is $ 4894 ;"], ["table_2", "( millions except pershare amounts ) the operating expenses of 2002 is 4520 ; the operating expenses of 2001 is 4749 ; the operating expenses of 2000 is 3939 ;"], ["text_5", "net income for 2002 reflected lower operating revenue ( $ 204 million ) , operating expenses ( $ 229 million ) and other income ( $ 27 million ) ."]]}, "answers": ["-3.3%"]}, "rejected_source": {"id": "D/2002/page_39.pdf-3", "qa": {"question": "what is the growth rate in operating revenue from 2000 to 2001?", "answer": "25.5%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6144", "arg2": "4894", "res": "1250"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4894", "res": "25.5%"}], "program": "subtract(6144, 4894), divide(#0, 4894)", "gold_inds": {"table_1": "( millions except pershare amounts ) the operating revenue of 2002 is $ 5940 ; the operating revenue of 2001 is $ 6144 ; the operating revenue of 2000 is $ 4894 ;"}, "exe_ans": 0.25541, "tfidftopn": {"table_2": "( millions except pershare amounts ) The operating expenses of 2002 is 4520 ; The operating expenses of 2001 is 4749 ; The operating expenses of 2000 is 3939 ;", "text_5": "net income for 2002 reflected lower operating revenue ( $ 204 million ) , operating expenses ( $ 229 million ) and other income ( $ 27 million ) ."}, "program_re": "divide(subtract(6144, 4894), 4894)", "model_input": [["table_1", "( millions except pershare amounts ) the operating revenue of 2002 is $ 5940 ; the operating revenue of 2001 is $ 6144 ; the operating revenue of 2000 is $ 4894 ;"], ["table_2", "( millions except pershare amounts ) the operating expenses of 2002 is 4520 ; the operating expenses of 2001 is 4749 ; the operating expenses of 2000 is 3939 ;"], ["table_5", "( millions except pershare amounts ) the electricity supplied* ( million mwhrs ) of 2002 is 101 ; the electricity supplied* ( million mwhrs ) of 2001 is 95 ; the electricity supplied* ( million mwhrs ) of 2000 is 83 ;"]]}, "answers": ["25.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001332", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in operating revenue from 2000 to 2001?\nReference time interval: 2000-01-01 00:00:00 to 2002-01-01 00:00:00", "chosen": "25.5%.", "rejected": "-3.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "D || what is the growth rate in operating revenue <TIME>?", "doc_prefix": "D", "base_question": "what is the growth rate in operating revenue <TIME>?", "original_question": "what is the growth rate in operating revenue from 2000 to 2001?", "reference_time": {"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"25.5%": [{"start": "2000-01-01 00:00:00", "end": "2002-01-01 00:00:00", "normalized_text": "from 2000 to 2001"}], "-3.3%": [{"start": "2001-01-01 00:00:00", "end": "2003-01-01 00:00:00", "normalized_text": "from 2001 to 2002"}]}, "chosen_source": {"id": "D/2002/page_39.pdf-3", "qa": {"question": "what is the growth rate in operating revenue from 2000 to 2001?", "answer": "25.5%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6144", "arg2": "4894", "res": "1250"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4894", "res": "25.5%"}], "program": "subtract(6144, 4894), divide(#0, 4894)", "gold_inds": {"table_1": "( millions except pershare amounts ) the operating revenue of 2002 is $ 5940 ; the operating revenue of 2001 is $ 6144 ; the operating revenue of 2000 is $ 4894 ;"}, "exe_ans": 0.25541, "tfidftopn": {"table_2": "( millions except pershare amounts ) The operating expenses of 2002 is 4520 ; The operating expenses of 2001 is 4749 ; The operating expenses of 2000 is 3939 ;", "text_5": "net income for 2002 reflected lower operating revenue ( $ 204 million ) , operating expenses ( $ 229 million ) and other income ( $ 27 million ) ."}, "program_re": "divide(subtract(6144, 4894), 4894)", "model_input": [["table_1", "( millions except pershare amounts ) the operating revenue of 2002 is $ 5940 ; the operating revenue of 2001 is $ 6144 ; the operating revenue of 2000 is $ 4894 ;"], ["table_2", "( millions except pershare amounts ) the operating expenses of 2002 is 4520 ; the operating expenses of 2001 is 4749 ; the operating expenses of 2000 is 3939 ;"], ["table_5", "( millions except pershare amounts ) the electricity supplied* ( million mwhrs ) of 2002 is 101 ; the electricity supplied* ( million mwhrs ) of 2001 is 95 ; the electricity supplied* ( million mwhrs ) of 2000 is 83 ;"]]}, "answers": ["25.5%"]}, "rejected_source": {"id": "D/2002/page_39.pdf-4", "qa": {"question": "what is the growth rate in operating revenue from 2001 to 2002?", "answer": "-3.3%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5940", "arg2": "6144", "res": "-204"}, {"op": "divide1-2", "arg1": "#0", "arg2": "6144", "res": "-3.3%"}], "program": "subtract(5940, 6144), divide(#0, 6144)", "gold_inds": {"table_1": "( millions except pershare amounts ) the operating revenue of 2002 is $ 5940 ; the operating revenue of 2001 is $ 6144 ; the operating revenue of 2000 is $ 4894 ;"}, "exe_ans": -0.0332, "tfidftopn": {"table_2": "( millions except pershare amounts ) The operating expenses of 2002 is 4520 ; The operating expenses of 2001 is 4749 ; The operating expenses of 2000 is 3939 ;", "text_5": "net income for 2002 reflected lower operating revenue ( $ 204 million ) , operating expenses ( $ 229 million ) and other income ( $ 27 million ) ."}, "program_re": "divide(subtract(5940, 6144), 6144)", "model_input": [["table_1", "( millions except pershare amounts ) the operating revenue of 2002 is $ 5940 ; the operating revenue of 2001 is $ 6144 ; the operating revenue of 2000 is $ 4894 ;"], ["table_2", "( millions except pershare amounts ) the operating expenses of 2002 is 4520 ; the operating expenses of 2001 is 4749 ; the operating expenses of 2000 is 3939 ;"], ["text_5", "net income for 2002 reflected lower operating revenue ( $ 204 million ) , operating expenses ( $ 229 million ) and other income ( $ 27 million ) ."]]}, "answers": ["-3.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001333", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the expected growth rate in amortization expense in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-0.9%.", "rejected": "-1.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAT || what is the expected growth rate in amortization expense <TIME>?", "doc_prefix": "CAT", "base_question": "what is the expected growth rate in amortization expense <TIME>?", "original_question": "what is the expected growth rate in amortization expense in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-0.9%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-1.9%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}]}, "chosen_source": {"id": "CAT/2017/page_113.pdf-4", "qa": {"question": "what is the expected growth rate in amortization expense in 2017?", "answer": "-0.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [6], "steps": [{"op": "minus2-1", "arg1": "323", "arg2": "326", "res": "-3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "326", "res": "-0.9%"}], "program": "subtract(323, 326), divide(#0, 326)", "gold_inds": {"text_6": "amortization expense related to intangible assets was $ 323 million , $ 326 million and $ 337 million for 2017 , 2016 and 2015 , respectively ."}, "exe_ans": -0.0092, "tfidftopn": {"text_7": "as of december 31 , 2017 , amortization expense related to intangible assets is expected to be : ( millions of dollars ) .", "text_9": "goodwill there were no goodwill impairments during 2017 or 2015 ."}, "program_re": "divide(subtract(323, 326), 326)", "model_input": [["text_6", "amortization expense related to intangible assets was $ 323 million , $ 326 million and $ 337 million for 2017 , 2016 and 2015 , respectively ."], ["text_7", "as of december 31 , 2017 , amortization expense related to intangible assets is expected to be : ( millions of dollars ) ."], ["table_1", "2018 the $ 322 of 2019 is $ 316 ; the $ 322 of 2020 is $ 305 ; the $ 322 of 2021 is $ 287 ; the $ 322 of 2022 is $ 268 ; the $ 322 of thereafter is $ 613 ;"]]}, "answers": ["-0.9%"]}, "rejected_source": {"id": "CAT/2017/page_113.pdf-3", "qa": {"question": "what is the expected growth rate in amortization expense in 2019?", "answer": "-1.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "316", "arg2": "322", "res": "-6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "322", "res": "-1.9%"}], "program": "subtract(316, 322), divide(#0, 322)", "gold_inds": {"table_1": "2018 the $ 322 of 2019 is $ 316 ; the $ 322 of 2020 is $ 305 ; the $ 322 of 2021 is $ 287 ; the $ 322 of 2022 is $ 268 ; the $ 322 of thereafter is $ 613 ;"}, "exe_ans": -0.01863, "tfidftopn": {"text_7": "as of december 31 , 2017 , amortization expense related to intangible assets is expected to be : ( millions of dollars ) .", "text_6": "amortization expense related to intangible assets was $ 323 million , $ 326 million and $ 337 million for 2017 , 2016 and 2015 , respectively ."}, "program_re": "divide(subtract(316, 322), 322)", "model_input": [["text_6", "amortization expense related to intangible assets was $ 323 million , $ 326 million and $ 337 million for 2017 , 2016 and 2015 , respectively ."], ["text_7", "as of december 31 , 2017 , amortization expense related to intangible assets is expected to be : ( millions of dollars ) ."], ["table_1", "2018 the $ 322 of 2019 is $ 316 ; the $ 322 of 2020 is $ 305 ; the $ 322 of 2021 is $ 287 ; the $ 322 of 2022 is $ 268 ; the $ 322 of thereafter is $ 613 ;"]]}, "answers": ["-1.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001334", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the expected growth rate in amortization expense in 2019?\nReference time interval: 2019-01-01 00:00:00 to 2020-01-01 00:00:00", "chosen": "-1.9%.", "rejected": "-0.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAT || what is the expected growth rate in amortization expense <TIME>?", "doc_prefix": "CAT", "base_question": "what is the expected growth rate in amortization expense <TIME>?", "original_question": "what is the expected growth rate in amortization expense in 2019?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-0.9%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-1.9%": [{"start": "2019-01-01 00:00:00", "end": "2020-01-01 00:00:00", "normalized_text": "2019"}]}, "chosen_source": {"id": "CAT/2017/page_113.pdf-3", "qa": {"question": "what is the expected growth rate in amortization expense in 2019?", "answer": "-1.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "316", "arg2": "322", "res": "-6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "322", "res": "-1.9%"}], "program": "subtract(316, 322), divide(#0, 322)", "gold_inds": {"table_1": "2018 the $ 322 of 2019 is $ 316 ; the $ 322 of 2020 is $ 305 ; the $ 322 of 2021 is $ 287 ; the $ 322 of 2022 is $ 268 ; the $ 322 of thereafter is $ 613 ;"}, "exe_ans": -0.01863, "tfidftopn": {"text_7": "as of december 31 , 2017 , amortization expense related to intangible assets is expected to be : ( millions of dollars ) .", "text_6": "amortization expense related to intangible assets was $ 323 million , $ 326 million and $ 337 million for 2017 , 2016 and 2015 , respectively ."}, "program_re": "divide(subtract(316, 322), 322)", "model_input": [["text_6", "amortization expense related to intangible assets was $ 323 million , $ 326 million and $ 337 million for 2017 , 2016 and 2015 , respectively ."], ["text_7", "as of december 31 , 2017 , amortization expense related to intangible assets is expected to be : ( millions of dollars ) ."], ["table_1", "2018 the $ 322 of 2019 is $ 316 ; the $ 322 of 2020 is $ 305 ; the $ 322 of 2021 is $ 287 ; the $ 322 of 2022 is $ 268 ; the $ 322 of thereafter is $ 613 ;"]]}, "answers": ["-1.9%"]}, "rejected_source": {"id": "CAT/2017/page_113.pdf-4", "qa": {"question": "what is the expected growth rate in amortization expense in 2017?", "answer": "-0.9%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [6], "steps": [{"op": "minus2-1", "arg1": "323", "arg2": "326", "res": "-3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "326", "res": "-0.9%"}], "program": "subtract(323, 326), divide(#0, 326)", "gold_inds": {"text_6": "amortization expense related to intangible assets was $ 323 million , $ 326 million and $ 337 million for 2017 , 2016 and 2015 , respectively ."}, "exe_ans": -0.0092, "tfidftopn": {"text_7": "as of december 31 , 2017 , amortization expense related to intangible assets is expected to be : ( millions of dollars ) .", "text_9": "goodwill there were no goodwill impairments during 2017 or 2015 ."}, "program_re": "divide(subtract(323, 326), 326)", "model_input": [["text_6", "amortization expense related to intangible assets was $ 323 million , $ 326 million and $ 337 million for 2017 , 2016 and 2015 , respectively ."], ["text_7", "as of december 31 , 2017 , amortization expense related to intangible assets is expected to be : ( millions of dollars ) ."], ["table_1", "2018 the $ 322 of 2019 is $ 316 ; the $ 322 of 2020 is $ 305 ; the $ 322 of 2021 is $ 287 ; the $ 322 of 2022 is $ 268 ; the $ 322 of thereafter is $ 613 ;"]]}, "answers": ["-0.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001335", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in cash provided by operating activities from 2010 to 2011 , in millions?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "1768.", "rejected": "901.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the change in cash provided by operating activities <TIME> , in millions?", "doc_prefix": "UNP", "base_question": "what was the change in cash provided by operating activities <TIME> , in millions?", "original_question": "what was the change in cash provided by operating activities from 2010 to 2011 , in millions?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"901": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "1768": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "UNP/2011/page_35.pdf-3", "qa": {"question": "what was the change in cash provided by operating activities from 2010 to 2011 , in millions?", "answer": "1768", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5873", "arg2": "4105", "res": "1768"}], "program": "subtract(5873, 4105)", "gold_inds": {"table_1": "cash flowsmillions the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ; the cash provided by operating activities of 2009 is $ 3204 ;"}, "exe_ans": 1768.0, "tfidftopn": {"text_13": "cash flows millions 2011 2010 2009 .", "text_14": "operating activities higher net income and lower cash income tax payments in 2011 increased cash provided by operating activities compared to 2010 ."}, "program_re": "subtract(5873, 4105)", "model_input": [["table_1", "cash flowsmillions the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ; the cash provided by operating activities of 2009 is $ 3204 ;"], ["table_4", "cash flowsmillions the net change in cash and cashequivalents of 2011 is $ 131 ; the net change in cash and cashequivalents of 2010 is $ -764 ( 764 ) ; the net change in cash and cashequivalents of 2009 is $ 601 ;"], ["text_19", "in addition , the adoption of a new accounting standard in january of 2010 changed the accounting treatment for our receivables securitization facility from a sale of undivided interests ( recorded as an operating activity ) to a secured borrowing ( recorded as a financing activity ) , which decreased cash provided by operating activities by $ 400 million in 2010 ."]]}, "answers": ["1768"]}, "rejected_source": {"id": "UNP/2011/page_35.pdf-4", "qa": {"question": "what was the change in cash provided by operating activities from 2009 to 2010 , in millions?", "answer": "901", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4105", "arg2": "3204", "res": "901"}], "program": "subtract(4105, 3204)", "gold_inds": {"table_1": "cash flowsmillions the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ; the cash provided by operating activities of 2009 is $ 3204 ;"}, "exe_ans": 901.0, "tfidftopn": {"text_13": "cash flows millions 2011 2010 2009 .", "text_20": "higher net income in 2010 increased cash provided by operating activities compared to 2009 ."}, "program_re": "subtract(4105, 3204)", "model_input": [["table_1", "cash flowsmillions the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ; the cash provided by operating activities of 2009 is $ 3204 ;"], ["table_4", "cash flowsmillions the net change in cash and cashequivalents of 2011 is $ 131 ; the net change in cash and cashequivalents of 2010 is $ -764 ( 764 ) ; the net change in cash and cashequivalents of 2009 is $ 601 ;"], ["text_19", "in addition , the adoption of a new accounting standard in january of 2010 changed the accounting treatment for our receivables securitization facility from a sale of undivided interests ( recorded as an operating activity ) to a secured borrowing ( recorded as a financing activity ) , which decreased cash provided by operating activities by $ 400 million in 2010 ."]]}, "answers": ["901"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001336", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in cash provided by operating activities from 2009 to 2010 , in millions?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "901.", "rejected": "1768.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the change in cash provided by operating activities <TIME> , in millions?", "doc_prefix": "UNP", "base_question": "what was the change in cash provided by operating activities <TIME> , in millions?", "original_question": "what was the change in cash provided by operating activities from 2009 to 2010 , in millions?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"901": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "1768": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "UNP/2011/page_35.pdf-4", "qa": {"question": "what was the change in cash provided by operating activities from 2009 to 2010 , in millions?", "answer": "901", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4105", "arg2": "3204", "res": "901"}], "program": "subtract(4105, 3204)", "gold_inds": {"table_1": "cash flowsmillions the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ; the cash provided by operating activities of 2009 is $ 3204 ;"}, "exe_ans": 901.0, "tfidftopn": {"text_13": "cash flows millions 2011 2010 2009 .", "text_20": "higher net income in 2010 increased cash provided by operating activities compared to 2009 ."}, "program_re": "subtract(4105, 3204)", "model_input": [["table_1", "cash flowsmillions the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ; the cash provided by operating activities of 2009 is $ 3204 ;"], ["table_4", "cash flowsmillions the net change in cash and cashequivalents of 2011 is $ 131 ; the net change in cash and cashequivalents of 2010 is $ -764 ( 764 ) ; the net change in cash and cashequivalents of 2009 is $ 601 ;"], ["text_19", "in addition , the adoption of a new accounting standard in january of 2010 changed the accounting treatment for our receivables securitization facility from a sale of undivided interests ( recorded as an operating activity ) to a secured borrowing ( recorded as a financing activity ) , which decreased cash provided by operating activities by $ 400 million in 2010 ."]]}, "answers": ["901"]}, "rejected_source": {"id": "UNP/2011/page_35.pdf-3", "qa": {"question": "what was the change in cash provided by operating activities from 2010 to 2011 , in millions?", "answer": "1768", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5873", "arg2": "4105", "res": "1768"}], "program": "subtract(5873, 4105)", "gold_inds": {"table_1": "cash flowsmillions the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ; the cash provided by operating activities of 2009 is $ 3204 ;"}, "exe_ans": 1768.0, "tfidftopn": {"text_13": "cash flows millions 2011 2010 2009 .", "text_14": "operating activities higher net income and lower cash income tax payments in 2011 increased cash provided by operating activities compared to 2010 ."}, "program_re": "subtract(5873, 4105)", "model_input": [["table_1", "cash flowsmillions the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ; the cash provided by operating activities of 2009 is $ 3204 ;"], ["table_4", "cash flowsmillions the net change in cash and cashequivalents of 2011 is $ 131 ; the net change in cash and cashequivalents of 2010 is $ -764 ( 764 ) ; the net change in cash and cashequivalents of 2009 is $ 601 ;"], ["text_19", "in addition , the adoption of a new accounting standard in january of 2010 changed the accounting treatment for our receivables securitization facility from a sale of undivided interests ( recorded as an operating activity ) to a secured borrowing ( recorded as a financing activity ) , which decreased cash provided by operating activities by $ 400 million in 2010 ."]]}, "answers": ["1768"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001337", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change net provision for interest and penalties from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "11.8%.", "rejected": "70.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAT || what is the percentage change net provision for interest and penalties <TIME>?", "doc_prefix": "CAT", "base_question": "what is the percentage change net provision for interest and penalties <TIME>?", "original_question": "what is the percentage change net provision for interest and penalties from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"70.0%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "11.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "CAT/2017/page_103.pdf-3", "qa": {"question": "what is the percentage change net provision for interest and penalties from 2016 to 2017?", "answer": "11.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "minus1-1", "arg1": "38", "arg2": "34", "res": "4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "34", "res": "11.8%"}], "program": "subtract(38, 34), divide(#0, 34)", "gold_inds": {"text_5": "we recognized a net provision for interest and penalties of $ 38 million , $ 34 million and $ 20 million during the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.11765, "tfidftopn": {"text_4": "we classify interest and penalties on income taxes as a component of the provision for income taxes .", "text_6": "the total amount of interest and penalties accrued was $ 157 million and $ 120 million as of december a031 , 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(38, 34), 34)", "model_input": [["text_5", "we recognized a net provision for interest and penalties of $ 38 million , $ 34 million and $ 20 million during the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_6", "the total amount of interest and penalties accrued was $ 157 million and $ 120 million as of december a031 , 2017 and 2016 , respectively ."], ["text_15", "we currently believe the ultimate disposition of this matter will not have a material adverse effect on our consolidated financial position , liquidity or results of operations ."]]}, "answers": ["11.8%"]}, "rejected_source": {"id": "CAT/2017/page_103.pdf-4", "qa": {"question": "what is the percentage change net provision for interest and penalties from 2015 to 2016?", "answer": "70.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "34", "arg2": "20", "res": "14"}, {"op": "divide2-2", "arg1": "#0", "arg2": "20", "res": "70.0%"}], "program": "subtract(34, 20), divide(#0, 20)", "gold_inds": {"text_5": "we recognized a net provision for interest and penalties of $ 38 million , $ 34 million and $ 20 million during the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.7, "tfidftopn": {"text_4": "we classify interest and penalties on income taxes as a component of the provision for income taxes .", "text_20": "due to the uncertainty related to the timing and potential outcome of audits , we cannot estimate the range of reasonably possible change in unrecognized tax benefits in the next 12 months. ."}, "program_re": "divide(subtract(34, 20), 20)", "model_input": [["text_5", "we recognized a net provision for interest and penalties of $ 38 million , $ 34 million and $ 20 million during the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_6", "the total amount of interest and penalties accrued was $ 157 million and $ 120 million as of december a031 , 2017 and 2016 , respectively ."], ["text_15", "we currently believe the ultimate disposition of this matter will not have a material adverse effect on our consolidated financial position , liquidity or results of operations ."]]}, "answers": ["70.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001338", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change net provision for interest and penalties from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "70.0%.", "rejected": "11.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAT || what is the percentage change net provision for interest and penalties <TIME>?", "doc_prefix": "CAT", "base_question": "what is the percentage change net provision for interest and penalties <TIME>?", "original_question": "what is the percentage change net provision for interest and penalties from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"70.0%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "11.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "CAT/2017/page_103.pdf-4", "qa": {"question": "what is the percentage change net provision for interest and penalties from 2015 to 2016?", "answer": "70.0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "minus2-1", "arg1": "34", "arg2": "20", "res": "14"}, {"op": "divide2-2", "arg1": "#0", "arg2": "20", "res": "70.0%"}], "program": "subtract(34, 20), divide(#0, 20)", "gold_inds": {"text_5": "we recognized a net provision for interest and penalties of $ 38 million , $ 34 million and $ 20 million during the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.7, "tfidftopn": {"text_4": "we classify interest and penalties on income taxes as a component of the provision for income taxes .", "text_20": "due to the uncertainty related to the timing and potential outcome of audits , we cannot estimate the range of reasonably possible change in unrecognized tax benefits in the next 12 months. ."}, "program_re": "divide(subtract(34, 20), 20)", "model_input": [["text_5", "we recognized a net provision for interest and penalties of $ 38 million , $ 34 million and $ 20 million during the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_6", "the total amount of interest and penalties accrued was $ 157 million and $ 120 million as of december a031 , 2017 and 2016 , respectively ."], ["text_15", "we currently believe the ultimate disposition of this matter will not have a material adverse effect on our consolidated financial position , liquidity or results of operations ."]]}, "answers": ["70.0%"]}, "rejected_source": {"id": "CAT/2017/page_103.pdf-3", "qa": {"question": "what is the percentage change net provision for interest and penalties from 2016 to 2017?", "answer": "11.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [5], "steps": [{"op": "minus1-1", "arg1": "38", "arg2": "34", "res": "4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "34", "res": "11.8%"}], "program": "subtract(38, 34), divide(#0, 34)", "gold_inds": {"text_5": "we recognized a net provision for interest and penalties of $ 38 million , $ 34 million and $ 20 million during the years ended december 31 , 2017 , 2016 and 2015 , respectively ."}, "exe_ans": 0.11765, "tfidftopn": {"text_4": "we classify interest and penalties on income taxes as a component of the provision for income taxes .", "text_6": "the total amount of interest and penalties accrued was $ 157 million and $ 120 million as of december a031 , 2017 and 2016 , respectively ."}, "program_re": "divide(subtract(38, 34), 34)", "model_input": [["text_5", "we recognized a net provision for interest and penalties of $ 38 million , $ 34 million and $ 20 million during the years ended december 31 , 2017 , 2016 and 2015 , respectively ."], ["text_6", "the total amount of interest and penalties accrued was $ 157 million and $ 120 million as of december a031 , 2017 and 2016 , respectively ."], ["text_15", "we currently believe the ultimate disposition of this matter will not have a material adverse effect on our consolidated financial position , liquidity or results of operations ."]]}, "answers": ["11.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001339", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in revenue related technology and risk management from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "12.7%.", "rejected": "13.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the growth rate in revenue related technology and risk management <TIME>?", "doc_prefix": "BLK", "base_question": "what is the growth rate in revenue related technology and risk management <TIME>?", "original_question": "what is the growth rate in revenue related technology and risk management from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12.7%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "13.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "BLK/2017/page_87.pdf-4", "qa": {"question": "what is the growth rate in revenue related technology and risk management from 2015 to 2016?", "answer": "12.7%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [6], "steps": [{"op": "minus2-1", "arg1": "595", "arg2": "528", "res": "67"}, {"op": "divide2-2", "arg1": "#0", "arg2": "528", "res": "12.7%"}], "program": "subtract(595, 528), divide(#0, 528)", "gold_inds": {"text_6": "for 2017 , 2016 and 2015 , performance fee revenue ( which included recognized carried interest ) totaled $ 594 million , $ 295 million and $ 621 million , respectively .", "text_8": "for 2017 , 2016 and 2016 , technology and risk management revenue totaled $ 677 million , $ 595 million and $ 528 million , respectively ."}, "exe_ans": 0.12689, "tfidftopn": {"text_7": "fees earned for technology and risk management revenue are recorded as services are performed and are generally determined using the value of positions on the aladdin platform or on a fixed-rate basis ."}, "program_re": "divide(subtract(595, 528), 528)", "model_input": [["table_5", "( in millions ) the ending balance of 2017 is $ 219 ; the ending balance of 2016 is $ 152 ;"], ["text_6", "for 2017 , 2016 and 2015 , performance fee revenue ( which included recognized carried interest ) totaled $ 594 million , $ 295 million and $ 621 million , respectively ."], ["text_8", "for 2017 , 2016 and 2016 , technology and risk management revenue totaled $ 677 million , $ 595 million and $ 528 million , respectively ."]]}, "answers": ["12.7%"]}, "rejected_source": {"id": "BLK/2017/page_87.pdf-3", "qa": {"question": "what is the growth rate in revenue related technology and risk management from 2016 to 2017?", "answer": "13.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "677", "arg2": "595", "res": "82"}, {"op": "divide1-2", "arg1": "#0", "arg2": "595", "res": "13.8%"}], "program": "subtract(677, 595), divide(#0, 595)", "gold_inds": {"text_6": "for 2017 , 2016 and 2015 , performance fee revenue ( which included recognized carried interest ) totaled $ 594 million , $ 295 million and $ 621 million , respectively .", "text_8": "for 2017 , 2016 and 2016 , technology and risk management revenue totaled $ 677 million , $ 595 million and $ 528 million , respectively ."}, "exe_ans": 0.13782, "tfidftopn": {"text_7": "fees earned for technology and risk management revenue are recorded as services are performed and are generally determined using the value of positions on the aladdin platform or on a fixed-rate basis ."}, "program_re": "divide(subtract(677, 595), 595)", "model_input": [["table_5", "( in millions ) the ending balance of 2017 is $ 219 ; the ending balance of 2016 is $ 152 ;"], ["text_6", "for 2017 , 2016 and 2015 , performance fee revenue ( which included recognized carried interest ) totaled $ 594 million , $ 295 million and $ 621 million , respectively ."], ["text_8", "for 2017 , 2016 and 2016 , technology and risk management revenue totaled $ 677 million , $ 595 million and $ 528 million , respectively ."]]}, "answers": ["13.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001340", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in revenue related technology and risk management from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "13.8%.", "rejected": "12.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the growth rate in revenue related technology and risk management <TIME>?", "doc_prefix": "BLK", "base_question": "what is the growth rate in revenue related technology and risk management <TIME>?", "original_question": "what is the growth rate in revenue related technology and risk management from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"12.7%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "13.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "BLK/2017/page_87.pdf-3", "qa": {"question": "what is the growth rate in revenue related technology and risk management from 2016 to 2017?", "answer": "13.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [6], "steps": [{"op": "minus1-1", "arg1": "677", "arg2": "595", "res": "82"}, {"op": "divide1-2", "arg1": "#0", "arg2": "595", "res": "13.8%"}], "program": "subtract(677, 595), divide(#0, 595)", "gold_inds": {"text_6": "for 2017 , 2016 and 2015 , performance fee revenue ( which included recognized carried interest ) totaled $ 594 million , $ 295 million and $ 621 million , respectively .", "text_8": "for 2017 , 2016 and 2016 , technology and risk management revenue totaled $ 677 million , $ 595 million and $ 528 million , respectively ."}, "exe_ans": 0.13782, "tfidftopn": {"text_7": "fees earned for technology and risk management revenue are recorded as services are performed and are generally determined using the value of positions on the aladdin platform or on a fixed-rate basis ."}, "program_re": "divide(subtract(677, 595), 595)", "model_input": [["table_5", "( in millions ) the ending balance of 2017 is $ 219 ; the ending balance of 2016 is $ 152 ;"], ["text_6", "for 2017 , 2016 and 2015 , performance fee revenue ( which included recognized carried interest ) totaled $ 594 million , $ 295 million and $ 621 million , respectively ."], ["text_8", "for 2017 , 2016 and 2016 , technology and risk management revenue totaled $ 677 million , $ 595 million and $ 528 million , respectively ."]]}, "answers": ["13.8%"]}, "rejected_source": {"id": "BLK/2017/page_87.pdf-4", "qa": {"question": "what is the growth rate in revenue related technology and risk management from 2015 to 2016?", "answer": "12.7%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [6], "steps": [{"op": "minus2-1", "arg1": "595", "arg2": "528", "res": "67"}, {"op": "divide2-2", "arg1": "#0", "arg2": "528", "res": "12.7%"}], "program": "subtract(595, 528), divide(#0, 528)", "gold_inds": {"text_6": "for 2017 , 2016 and 2015 , performance fee revenue ( which included recognized carried interest ) totaled $ 594 million , $ 295 million and $ 621 million , respectively .", "text_8": "for 2017 , 2016 and 2016 , technology and risk management revenue totaled $ 677 million , $ 595 million and $ 528 million , respectively ."}, "exe_ans": 0.12689, "tfidftopn": {"text_7": "fees earned for technology and risk management revenue are recorded as services are performed and are generally determined using the value of positions on the aladdin platform or on a fixed-rate basis ."}, "program_re": "divide(subtract(595, 528), 528)", "model_input": [["table_5", "( in millions ) the ending balance of 2017 is $ 219 ; the ending balance of 2016 is $ 152 ;"], ["text_6", "for 2017 , 2016 and 2015 , performance fee revenue ( which included recognized carried interest ) totaled $ 594 million , $ 295 million and $ 621 million , respectively ."], ["text_8", "for 2017 , 2016 and 2016 , technology and risk management revenue totaled $ 677 million , $ 595 million and $ 528 million , respectively ."]]}, "answers": ["12.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001341", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in open claims ending balance at december 31 from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "-2%.", "rejected": "4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in open claims ending balance at december 31 <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in open claims ending balance at december 31 <TIME>?", "original_question": "what was the percentage change in open claims ending balance at december 31 from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "-2%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "UNP/2006/page_45.pdf-4", "qa": {"question": "what was the percentage change in open claims ending balance at december 31 from 2005 to 2006?", "answer": "-2%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4126", "arg2": "4197", "res": "-71"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4197", "res": "-2%"}], "program": "subtract(4126, 4197), divide(#0, 4197)", "gold_inds": {"table_4": "claims activity the open claims ending balance at december 31 of 2006 is 4126 ; the open claims ending balance at december 31 of 2005 is 4197 ; the open claims ending balance at december 31 of 2004 is 4028 ;"}, "exe_ans": -0.01692, "tfidftopn": {"table_1": "claims activity The open claims beginning balance of 2006 is 4197 ; The open claims beginning balance of 2005 is 4028 ; The open claims beginning balance of 2004 is 4085 ;", "text_25": "for the year ended december 31 , 2006 , depreciation expense was $ 1.2 billion ."}, "program_re": "divide(subtract(4126, 4197), 4197)", "model_input": [["table_1", "claims activity the open claims beginning balance of 2006 is 4197 ; the open claims beginning balance of 2005 is 4028 ; the open claims beginning balance of 2004 is 4085 ;"], ["table_4", "claims activity the open claims ending balance at december 31 of 2006 is 4126 ; the open claims ending balance at december 31 of 2005 is 4197 ; the open claims ending balance at december 31 of 2004 is 4028 ;"], ["text_25", "for the year ended december 31 , 2006 , depreciation expense was $ 1.2 billion ."]]}, "answers": ["-2%"]}, "rejected_source": {"id": "UNP/2006/page_45.pdf-3", "qa": {"question": "what was the percentage change in open claims ending balance at december 31 from 2004 to 2005?", "answer": "4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4197", "arg2": "4028", "res": "169"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4028", "res": "4%"}], "program": "subtract(4197, 4028), divide(#0, 4028)", "gold_inds": {"table_4": "claims activity the open claims ending balance at december 31 of 2006 is 4126 ; the open claims ending balance at december 31 of 2005 is 4197 ; the open claims ending balance at december 31 of 2004 is 4028 ;"}, "exe_ans": 0.04196, "tfidftopn": {"table_1": "claims activity The open claims beginning balance of 2006 is 4197 ; The open claims beginning balance of 2005 is 4028 ; The open claims beginning balance of 2004 is 4085 ;", "text_14": "our personal injury claims activity was as follows : claims activity 2006 2005 2004 ."}, "program_re": "divide(subtract(4197, 4028), 4028)", "model_input": [["text_14", "our personal injury claims activity was as follows : claims activity 2006 2005 2004 ."], ["table_1", "claims activity the open claims beginning balance of 2006 is 4197 ; the open claims beginning balance of 2005 is 4028 ; the open claims beginning balance of 2004 is 4085 ;"], ["table_4", "claims activity the open claims ending balance at december 31 of 2006 is 4126 ; the open claims ending balance at december 31 of 2005 is 4197 ; the open claims ending balance at december 31 of 2004 is 4028 ;"]]}, "answers": ["4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001342", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in open claims ending balance at december 31 from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "4%.", "rejected": "-2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in open claims ending balance at december 31 <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in open claims ending balance at december 31 <TIME>?", "original_question": "what was the percentage change in open claims ending balance at december 31 from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "-2%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "UNP/2006/page_45.pdf-3", "qa": {"question": "what was the percentage change in open claims ending balance at december 31 from 2004 to 2005?", "answer": "4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4197", "arg2": "4028", "res": "169"}, {"op": "divide1-2", "arg1": "#0", "arg2": "4028", "res": "4%"}], "program": "subtract(4197, 4028), divide(#0, 4028)", "gold_inds": {"table_4": "claims activity the open claims ending balance at december 31 of 2006 is 4126 ; the open claims ending balance at december 31 of 2005 is 4197 ; the open claims ending balance at december 31 of 2004 is 4028 ;"}, "exe_ans": 0.04196, "tfidftopn": {"table_1": "claims activity The open claims beginning balance of 2006 is 4197 ; The open claims beginning balance of 2005 is 4028 ; The open claims beginning balance of 2004 is 4085 ;", "text_14": "our personal injury claims activity was as follows : claims activity 2006 2005 2004 ."}, "program_re": "divide(subtract(4197, 4028), 4028)", "model_input": [["text_14", "our personal injury claims activity was as follows : claims activity 2006 2005 2004 ."], ["table_1", "claims activity the open claims beginning balance of 2006 is 4197 ; the open claims beginning balance of 2005 is 4028 ; the open claims beginning balance of 2004 is 4085 ;"], ["table_4", "claims activity the open claims ending balance at december 31 of 2006 is 4126 ; the open claims ending balance at december 31 of 2005 is 4197 ; the open claims ending balance at december 31 of 2004 is 4028 ;"]]}, "answers": ["4%"]}, "rejected_source": {"id": "UNP/2006/page_45.pdf-4", "qa": {"question": "what was the percentage change in open claims ending balance at december 31 from 2005 to 2006?", "answer": "-2%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4126", "arg2": "4197", "res": "-71"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4197", "res": "-2%"}], "program": "subtract(4126, 4197), divide(#0, 4197)", "gold_inds": {"table_4": "claims activity the open claims ending balance at december 31 of 2006 is 4126 ; the open claims ending balance at december 31 of 2005 is 4197 ; the open claims ending balance at december 31 of 2004 is 4028 ;"}, "exe_ans": -0.01692, "tfidftopn": {"table_1": "claims activity The open claims beginning balance of 2006 is 4197 ; The open claims beginning balance of 2005 is 4028 ; The open claims beginning balance of 2004 is 4085 ;", "text_25": "for the year ended december 31 , 2006 , depreciation expense was $ 1.2 billion ."}, "program_re": "divide(subtract(4126, 4197), 4197)", "model_input": [["table_1", "claims activity the open claims beginning balance of 2006 is 4197 ; the open claims beginning balance of 2005 is 4028 ; the open claims beginning balance of 2004 is 4085 ;"], ["table_4", "claims activity the open claims ending balance at december 31 of 2006 is 4126 ; the open claims ending balance at december 31 of 2005 is 4197 ; the open claims ending balance at december 31 of 2004 is 4028 ;"], ["text_25", "for the year ended december 31 , 2006 , depreciation expense was $ 1.2 billion ."]]}, "answers": ["-2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001343", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in cash during 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-3179.", "rejected": "5997.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BKR || what is the net change in cash <TIME>?", "doc_prefix": "BKR", "base_question": "what is the net change in cash <TIME>?", "original_question": "what is the net change in cash during 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5997": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-3179": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "BKR/2018/page_59.pdf-4", "qa": {"question": "what is the net change in cash during 2018?", "answer": "-3179", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "1762", "arg2": "-578", "res": "1184"}, {"op": "add1-2", "arg1": "#0", "arg2": "-4363", "res": "-3179"}], "program": "add(1762, -578), add(#0, -4363)", "gold_inds": {"table_1": "( in millions ) the operating activities of 2018 is $ 1762 ; the operating activities of 2017 is $ -799 ( 799 ) ; the operating activities of 2016 is $ 262 ;", "table_2": "( in millions ) the investing activities of 2018 is -578 ( 578 ) ; the investing activities of 2017 is -4123 ( 4123 ) ; the investing activities of 2016 is -472 ( 472 ) ;", "table_3": "( in millions ) the financing activities of 2018 is -4363 ( 4363 ) ; the financing activities of 2017 is 10919 ; the financing activities of 2016 is -102 ( 102 ) ;"}, "exe_ans": -3179.0, "tfidftopn": {}, "program_re": "add(add(1762, -578), -4363)", "model_input": [["table_1", "( in millions ) the operating activities of 2018 is $ 1762 ; the operating activities of 2017 is $ -799 ( 799 ) ; the operating activities of 2016 is $ 262 ;"], ["table_2", "( in millions ) the investing activities of 2018 is -578 ( 578 ) ; the investing activities of 2017 is -4123 ( 4123 ) ; the investing activities of 2016 is -472 ( 472 ) ;"], ["table_3", "( in millions ) the financing activities of 2018 is -4363 ( 4363 ) ; the financing activities of 2017 is 10919 ; the financing activities of 2016 is -102 ( 102 ) ;"]]}, "answers": ["-3179"]}, "rejected_source": {"id": "BKR/2018/page_59.pdf-3", "qa": {"question": "what is the net change in cash during 2017?", "answer": "5997", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "-799", "arg2": "-4123", "res": "-4922"}, {"op": "add2-2", "arg1": "#0", "arg2": "10919", "res": "5997"}], "program": "add(-799, -4123), add(#0, 10919)", "gold_inds": {"table_1": "( in millions ) the operating activities of 2018 is $ 1762 ; the operating activities of 2017 is $ -799 ( 799 ) ; the operating activities of 2016 is $ 262 ;", "table_2": "( in millions ) the investing activities of 2018 is -578 ( 578 ) ; the investing activities of 2017 is -4123 ( 4123 ) ; the investing activities of 2016 is -472 ( 472 ) ;", "table_3": "( in millions ) the financing activities of 2018 is -4363 ( 4363 ) ; the financing activities of 2017 is 10919 ; the financing activities of 2016 is -102 ( 102 ) ;"}, "exe_ans": 5997.0, "tfidftopn": {}, "program_re": "add(add(-799, -4123), 10919)", "model_input": [["table_1", "( in millions ) the operating activities of 2018 is $ 1762 ; the operating activities of 2017 is $ -799 ( 799 ) ; the operating activities of 2016 is $ 262 ;"], ["table_2", "( in millions ) the investing activities of 2018 is -578 ( 578 ) ; the investing activities of 2017 is -4123 ( 4123 ) ; the investing activities of 2016 is -472 ( 472 ) ;"], ["table_3", "( in millions ) the financing activities of 2018 is -4363 ( 4363 ) ; the financing activities of 2017 is 10919 ; the financing activities of 2016 is -102 ( 102 ) ;"]]}, "answers": ["5997"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001344", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in cash during 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "5997.", "rejected": "-3179.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BKR || what is the net change in cash <TIME>?", "doc_prefix": "BKR", "base_question": "what is the net change in cash <TIME>?", "original_question": "what is the net change in cash during 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"5997": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-3179": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "BKR/2018/page_59.pdf-3", "qa": {"question": "what is the net change in cash during 2017?", "answer": "5997", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "-799", "arg2": "-4123", "res": "-4922"}, {"op": "add2-2", "arg1": "#0", "arg2": "10919", "res": "5997"}], "program": "add(-799, -4123), add(#0, 10919)", "gold_inds": {"table_1": "( in millions ) the operating activities of 2018 is $ 1762 ; the operating activities of 2017 is $ -799 ( 799 ) ; the operating activities of 2016 is $ 262 ;", "table_2": "( in millions ) the investing activities of 2018 is -578 ( 578 ) ; the investing activities of 2017 is -4123 ( 4123 ) ; the investing activities of 2016 is -472 ( 472 ) ;", "table_3": "( in millions ) the financing activities of 2018 is -4363 ( 4363 ) ; the financing activities of 2017 is 10919 ; the financing activities of 2016 is -102 ( 102 ) ;"}, "exe_ans": 5997.0, "tfidftopn": {}, "program_re": "add(add(-799, -4123), 10919)", "model_input": [["table_1", "( in millions ) the operating activities of 2018 is $ 1762 ; the operating activities of 2017 is $ -799 ( 799 ) ; the operating activities of 2016 is $ 262 ;"], ["table_2", "( in millions ) the investing activities of 2018 is -578 ( 578 ) ; the investing activities of 2017 is -4123 ( 4123 ) ; the investing activities of 2016 is -472 ( 472 ) ;"], ["table_3", "( in millions ) the financing activities of 2018 is -4363 ( 4363 ) ; the financing activities of 2017 is 10919 ; the financing activities of 2016 is -102 ( 102 ) ;"]]}, "answers": ["5997"]}, "rejected_source": {"id": "BKR/2018/page_59.pdf-4", "qa": {"question": "what is the net change in cash during 2018?", "answer": "-3179", "explanation": "", "ann_table_rows": [1, 2, 3], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "1762", "arg2": "-578", "res": "1184"}, {"op": "add1-2", "arg1": "#0", "arg2": "-4363", "res": "-3179"}], "program": "add(1762, -578), add(#0, -4363)", "gold_inds": {"table_1": "( in millions ) the operating activities of 2018 is $ 1762 ; the operating activities of 2017 is $ -799 ( 799 ) ; the operating activities of 2016 is $ 262 ;", "table_2": "( in millions ) the investing activities of 2018 is -578 ( 578 ) ; the investing activities of 2017 is -4123 ( 4123 ) ; the investing activities of 2016 is -472 ( 472 ) ;", "table_3": "( in millions ) the financing activities of 2018 is -4363 ( 4363 ) ; the financing activities of 2017 is 10919 ; the financing activities of 2016 is -102 ( 102 ) ;"}, "exe_ans": -3179.0, "tfidftopn": {}, "program_re": "add(add(1762, -578), -4363)", "model_input": [["table_1", "( in millions ) the operating activities of 2018 is $ 1762 ; the operating activities of 2017 is $ -799 ( 799 ) ; the operating activities of 2016 is $ 262 ;"], ["table_2", "( in millions ) the investing activities of 2018 is -578 ( 578 ) ; the investing activities of 2017 is -4123 ( 4123 ) ; the investing activities of 2016 is -472 ( 472 ) ;"], ["table_3", "( in millions ) the financing activities of 2018 is -4363 ( 4363 ) ; the financing activities of 2017 is 10919 ; the financing activities of 2016 is -102 ( 102 ) ;"]]}, "answers": ["-3179"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001345", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the expected growth rate in operating leases from 2019 to 2020?\nReference time interval: 2019-01-01 00:00:00 to 2021-01-01 00:00:00", "chosen": "-9.1%.", "rejected": "0.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ABMD || what is the expected growth rate in operating leases <TIME>?", "doc_prefix": "ABMD", "base_question": "what is the expected growth rate in operating leases <TIME>?", "original_question": "what is the expected growth rate in operating leases from 2019 to 2020?", "reference_time": {"start": "2019-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "from 2019 to 2020", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-9.1%": [{"start": "2019-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "from 2019 to 2020"}], "0.7%": [{"start": "2020-01-01 00:00:00", "end": "2022-01-01 00:00:00", "normalized_text": "from 2020 to 2021"}]}, "chosen_source": {"id": "ABMD/2018/page_112.pdf-4", "qa": {"question": "what is the expected growth rate in operating leases from 2019 to 2020?", "answer": "-9.1%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1888", "arg2": "2078", "res": "-190"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2078", "res": "-9.1%"}], "program": "subtract(1888, 2078), divide(#0, 2078)", "gold_inds": {"table_1": "fiscal years ending march 31 , the 2019 of operating leases ( in $ 000s ) is $ 2078 ;", "table_2": "fiscal years ending march 31 , the 2020 of operating leases ( in $ 000s ) is 1888 ;"}, "exe_ans": -0.09143, "tfidftopn": {"table_6": "fiscal years ending march 31, The thereafter of operating leases ( in $ 000s ) is 1923 ;"}, "program_re": "divide(subtract(1888, 2078), 2078)", "model_input": [["table_1", "fiscal years ending march 31 , the 2019 of operating leases ( in $ 000s ) is $ 2078 ;"], ["table_2", "fiscal years ending march 31 , the 2020 of operating leases ( in $ 000s ) is 1888 ;"], ["table_4", "fiscal years ending march 31, the 2022 of operating leases ( in $ 000s ) is 1408 ;"]]}, "answers": ["-9.1%"]}, "rejected_source": {"id": "ABMD/2018/page_112.pdf-3", "qa": {"question": "what is the expected growth rate in operating leases from 2020 to 2021?", "answer": "0.7%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1901", "arg2": "1888", "res": "13"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1888", "res": "0.7%"}], "program": "subtract(1901, 1888), divide(#0, 1888)", "gold_inds": {"table_2": "fiscal years ending march 31 , the 2020 of operating leases ( in $ 000s ) is 1888 ;", "table_3": "fiscal years ending march 31 , the 2021 of operating leases ( in $ 000s ) is 1901 ;"}, "exe_ans": 0.00689, "tfidftopn": {"table_6": "fiscal years ending march 31, The thereafter of operating leases ( in $ 000s ) is 1923 ;"}, "program_re": "divide(subtract(1901, 1888), 1888)", "model_input": [["table_1", "fiscal years ending march 31, the 2019 of operating leases ( in $ 000s ) is $ 2078 ;"], ["table_2", "fiscal years ending march 31 , the 2020 of operating leases ( in $ 000s ) is 1888 ;"], ["table_3", "fiscal years ending march 31 , the 2021 of operating leases ( in $ 000s ) is 1901 ;"]]}, "answers": ["0.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001346", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the expected growth rate in operating leases from 2020 to 2021?\nReference time interval: 2020-01-01 00:00:00 to 2022-01-01 00:00:00", "chosen": "0.7%.", "rejected": "-9.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ABMD || what is the expected growth rate in operating leases <TIME>?", "doc_prefix": "ABMD", "base_question": "what is the expected growth rate in operating leases <TIME>?", "original_question": "what is the expected growth rate in operating leases from 2020 to 2021?", "reference_time": {"start": "2020-01-01 00:00:00", "end": "2022-01-01 00:00:00", "normalized_text": "from 2020 to 2021", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-9.1%": [{"start": "2019-01-01 00:00:00", "end": "2021-01-01 00:00:00", "normalized_text": "from 2019 to 2020"}], "0.7%": [{"start": "2020-01-01 00:00:00", "end": "2022-01-01 00:00:00", "normalized_text": "from 2020 to 2021"}]}, "chosen_source": {"id": "ABMD/2018/page_112.pdf-3", "qa": {"question": "what is the expected growth rate in operating leases from 2020 to 2021?", "answer": "0.7%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1901", "arg2": "1888", "res": "13"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1888", "res": "0.7%"}], "program": "subtract(1901, 1888), divide(#0, 1888)", "gold_inds": {"table_2": "fiscal years ending march 31 , the 2020 of operating leases ( in $ 000s ) is 1888 ;", "table_3": "fiscal years ending march 31 , the 2021 of operating leases ( in $ 000s ) is 1901 ;"}, "exe_ans": 0.00689, "tfidftopn": {"table_6": "fiscal years ending march 31, The thereafter of operating leases ( in $ 000s ) is 1923 ;"}, "program_re": "divide(subtract(1901, 1888), 1888)", "model_input": [["table_1", "fiscal years ending march 31, the 2019 of operating leases ( in $ 000s ) is $ 2078 ;"], ["table_2", "fiscal years ending march 31 , the 2020 of operating leases ( in $ 000s ) is 1888 ;"], ["table_3", "fiscal years ending march 31 , the 2021 of operating leases ( in $ 000s ) is 1901 ;"]]}, "answers": ["0.7%"]}, "rejected_source": {"id": "ABMD/2018/page_112.pdf-4", "qa": {"question": "what is the expected growth rate in operating leases from 2019 to 2020?", "answer": "-9.1%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1888", "arg2": "2078", "res": "-190"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2078", "res": "-9.1%"}], "program": "subtract(1888, 2078), divide(#0, 2078)", "gold_inds": {"table_1": "fiscal years ending march 31 , the 2019 of operating leases ( in $ 000s ) is $ 2078 ;", "table_2": "fiscal years ending march 31 , the 2020 of operating leases ( in $ 000s ) is 1888 ;"}, "exe_ans": -0.09143, "tfidftopn": {"table_6": "fiscal years ending march 31, The thereafter of operating leases ( in $ 000s ) is 1923 ;"}, "program_re": "divide(subtract(1888, 2078), 2078)", "model_input": [["table_1", "fiscal years ending march 31 , the 2019 of operating leases ( in $ 000s ) is $ 2078 ;"], ["table_2", "fiscal years ending march 31 , the 2020 of operating leases ( in $ 000s ) is 1888 ;"], ["table_4", "fiscal years ending march 31, the 2022 of operating leases ( in $ 000s ) is 1408 ;"]]}, "answers": ["-9.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001347", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the value of operating expenses and other costs concerning the activities , in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "4871.", "rejected": "8129.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what is the value of operating expenses and other costs concerning the activities , <TIME>?", "doc_prefix": "IP", "base_question": "what is the value of operating expenses and other costs concerning the activities , <TIME>?", "original_question": "what is the value of operating expenses and other costs concerning the activities , in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4871": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "8129": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "IP/2009/page_34.pdf-4", "qa": {"question": "what is the value of operating expenses and other costs concerning the activities , in 2007?", "answer": "4871", "explanation": "it is the value of sales ( operating income ) subtracted by the value of operating profit .", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5245", "arg2": "374", "res": "4871"}], "program": "subtract(5245, 374)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;", "table_2": "in millions the operating profit of 2009 is 761 ; the operating profit of 2008 is 390 ; the operating profit of 2007 is 374 ;"}, "exe_ans": 4871.0, "tfidftopn": {"text_22": "operating profits in 2009 were $ 791 million ( $ 682 million excluding alternative fuel mixture cred- its , mill closure costs and costs associated with the cbpr integration ) compared with $ 322 million ( $ 414 million excluding charges related to the write-up of cbpr inventory to fair value , cbpr integration costs and other facility closure costs ) in 2008 and $ 305 million in 2007 ."}, "program_re": "subtract(5245, 374)", "model_input": [["table_1", "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;"], ["table_2", "in millions the operating profit of 2009 is 761 ; the operating profit of 2008 is 390 ; the operating profit of 2007 is 374 ;"], ["text_22", "operating profits in 2009 were $ 791 million ( $ 682 million excluding alternative fuel mixture cred- its , mill closure costs and costs associated with the cbpr integration ) compared with $ 322 million ( $ 414 million excluding charges related to the write-up of cbpr inventory to fair value , cbpr integration costs and other facility closure costs ) in 2008 and $ 305 million in 2007 ."]]}, "answers": ["4871"]}, "rejected_source": {"id": "IP/2009/page_34.pdf-3", "qa": {"question": "what is the value of operating expenses and other costs concerning the activities , in 2009?", "answer": "8129", "explanation": "it is the value of sales ( operating income ) subtracted by the value of operating profit .", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "8890", "arg2": "761", "res": "8129"}], "program": "subtract(8890, 761)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;", "table_2": "in millions the operating profit of 2009 is 761 ; the operating profit of 2008 is 390 ; the operating profit of 2007 is 374 ;"}, "exe_ans": 8129.0, "tfidftopn": {"text_22": "operating profits in 2009 were $ 791 million ( $ 682 million excluding alternative fuel mixture cred- its , mill closure costs and costs associated with the cbpr integration ) compared with $ 322 million ( $ 414 million excluding charges related to the write-up of cbpr inventory to fair value , cbpr integration costs and other facility closure costs ) in 2008 and $ 305 million in 2007 ."}, "program_re": "subtract(8890, 761)", "model_input": [["table_1", "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;"], ["table_2", "in millions the operating profit of 2009 is 761 ; the operating profit of 2008 is 390 ; the operating profit of 2007 is 374 ;"], ["text_22", "operating profits in 2009 were $ 791 million ( $ 682 million excluding alternative fuel mixture cred- its , mill closure costs and costs associated with the cbpr integration ) compared with $ 322 million ( $ 414 million excluding charges related to the write-up of cbpr inventory to fair value , cbpr integration costs and other facility closure costs ) in 2008 and $ 305 million in 2007 ."]]}, "answers": ["8129"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001348", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the value of operating expenses and other costs concerning the activities , in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "8129.", "rejected": "4871.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what is the value of operating expenses and other costs concerning the activities , <TIME>?", "doc_prefix": "IP", "base_question": "what is the value of operating expenses and other costs concerning the activities , <TIME>?", "original_question": "what is the value of operating expenses and other costs concerning the activities , in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"4871": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "8129": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "IP/2009/page_34.pdf-3", "qa": {"question": "what is the value of operating expenses and other costs concerning the activities , in 2009?", "answer": "8129", "explanation": "it is the value of sales ( operating income ) subtracted by the value of operating profit .", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "8890", "arg2": "761", "res": "8129"}], "program": "subtract(8890, 761)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;", "table_2": "in millions the operating profit of 2009 is 761 ; the operating profit of 2008 is 390 ; the operating profit of 2007 is 374 ;"}, "exe_ans": 8129.0, "tfidftopn": {"text_22": "operating profits in 2009 were $ 791 million ( $ 682 million excluding alternative fuel mixture cred- its , mill closure costs and costs associated with the cbpr integration ) compared with $ 322 million ( $ 414 million excluding charges related to the write-up of cbpr inventory to fair value , cbpr integration costs and other facility closure costs ) in 2008 and $ 305 million in 2007 ."}, "program_re": "subtract(8890, 761)", "model_input": [["table_1", "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;"], ["table_2", "in millions the operating profit of 2009 is 761 ; the operating profit of 2008 is 390 ; the operating profit of 2007 is 374 ;"], ["text_22", "operating profits in 2009 were $ 791 million ( $ 682 million excluding alternative fuel mixture cred- its , mill closure costs and costs associated with the cbpr integration ) compared with $ 322 million ( $ 414 million excluding charges related to the write-up of cbpr inventory to fair value , cbpr integration costs and other facility closure costs ) in 2008 and $ 305 million in 2007 ."]]}, "answers": ["8129"]}, "rejected_source": {"id": "IP/2009/page_34.pdf-4", "qa": {"question": "what is the value of operating expenses and other costs concerning the activities , in 2007?", "answer": "4871", "explanation": "it is the value of sales ( operating income ) subtracted by the value of operating profit .", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "5245", "arg2": "374", "res": "4871"}], "program": "subtract(5245, 374)", "gold_inds": {"table_1": "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;", "table_2": "in millions the operating profit of 2009 is 761 ; the operating profit of 2008 is 390 ; the operating profit of 2007 is 374 ;"}, "exe_ans": 4871.0, "tfidftopn": {"text_22": "operating profits in 2009 were $ 791 million ( $ 682 million excluding alternative fuel mixture cred- its , mill closure costs and costs associated with the cbpr integration ) compared with $ 322 million ( $ 414 million excluding charges related to the write-up of cbpr inventory to fair value , cbpr integration costs and other facility closure costs ) in 2008 and $ 305 million in 2007 ."}, "program_re": "subtract(5245, 374)", "model_input": [["table_1", "in millions the sales of 2009 is $ 8890 ; the sales of 2008 is $ 7690 ; the sales of 2007 is $ 5245 ;"], ["table_2", "in millions the operating profit of 2009 is 761 ; the operating profit of 2008 is 390 ; the operating profit of 2007 is 374 ;"], ["text_22", "operating profits in 2009 were $ 791 million ( $ 682 million excluding alternative fuel mixture cred- its , mill closure costs and costs associated with the cbpr integration ) compared with $ 322 million ( $ 414 million excluding charges related to the write-up of cbpr inventory to fair value , cbpr integration costs and other facility closure costs ) in 2008 and $ 305 million in 2007 ."]]}, "answers": ["4871"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001349", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-21%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2009/page_38.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2008 to 2009?", "answer": "-21%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3234", "arg2": "4070", "res": "-836"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4070", "res": "-21%"}], "program": "subtract(3234, 4070), divide(#0, 4070)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": -0.20541, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(3234, 4070), 4070)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["-21%"]}, "rejected_source": {"id": "UNP/2006/page_36.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2005 and 2006?", "answer": "11%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2880", "arg2": "2595", "res": "285"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2595", "res": "11%"}], "program": "subtract(2880, 2595), divide(#0, 2595)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.10983, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2880, 2595), 2595)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001350", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-21%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2009/page_38.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2008 to 2009?", "answer": "-21%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3234", "arg2": "4070", "res": "-836"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4070", "res": "-21%"}], "program": "subtract(3234, 4070), divide(#0, 4070)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": -0.20541, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(3234, 4070), 4070)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["-21%"]}, "rejected_source": {"id": "UNP/2006/page_36.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2004 and 2005?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2595", "arg2": "2257", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2257", "res": "15%"}], "program": "subtract(2595, 2257), divide(#0, 2257)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.14976, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2595, 2257), 2257)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001351", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-21%.", "rejected": "24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2009/page_38.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2008 to 2009?", "answer": "-21%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3234", "arg2": "4070", "res": "-836"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4070", "res": "-21%"}], "program": "subtract(3234, 4070), divide(#0, 4070)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": -0.20541, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(3234, 4070), 4070)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["-21%"]}, "rejected_source": {"id": "UNP/2009/page_38.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2007 to 2008?", "answer": "24%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4070", "arg2": "3277", "res": "793"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3277", "res": "24%"}], "program": "subtract(4070, 3277), divide(#0, 3277)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": 0.24199, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(4070, 3277), 3277)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001352", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities between 2005 and 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "11%.", "rejected": "-21%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities between 2005 and 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2006/page_36.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2005 and 2006?", "answer": "11%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2880", "arg2": "2595", "res": "285"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2595", "res": "11%"}], "program": "subtract(2880, 2595), divide(#0, 2595)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.10983, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2880, 2595), 2595)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "UNP/2009/page_38.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2008 to 2009?", "answer": "-21%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3234", "arg2": "4070", "res": "-836"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4070", "res": "-21%"}], "program": "subtract(3234, 4070), divide(#0, 4070)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": -0.20541, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(3234, 4070), 4070)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["-21%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001353", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities between 2005 and 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "11%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities between 2005 and 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2006/page_36.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2005 and 2006?", "answer": "11%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2880", "arg2": "2595", "res": "285"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2595", "res": "11%"}], "program": "subtract(2880, 2595), divide(#0, 2595)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.10983, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2880, 2595), 2595)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "UNP/2006/page_36.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2004 and 2005?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2595", "arg2": "2257", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2257", "res": "15%"}], "program": "subtract(2595, 2257), divide(#0, 2257)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.14976, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2595, 2257), 2257)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001354", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities between 2005 and 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "11%.", "rejected": "24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities between 2005 and 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2006/page_36.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2005 and 2006?", "answer": "11%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2880", "arg2": "2595", "res": "285"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2595", "res": "11%"}], "program": "subtract(2880, 2595), divide(#0, 2595)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.10983, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2880, 2595), 2595)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "UNP/2009/page_38.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2007 to 2008?", "answer": "24%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4070", "arg2": "3277", "res": "793"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3277", "res": "24%"}], "program": "subtract(4070, 3277), divide(#0, 3277)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": 0.24199, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(4070, 3277), 3277)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001355", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities between 2004 and 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "15%.", "rejected": "-21%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities between 2004 and 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2006/page_36.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2004 and 2005?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2595", "arg2": "2257", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2257", "res": "15%"}], "program": "subtract(2595, 2257), divide(#0, 2257)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.14976, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2595, 2257), 2257)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["15%"]}, "rejected_source": {"id": "UNP/2009/page_38.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2008 to 2009?", "answer": "-21%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3234", "arg2": "4070", "res": "-836"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4070", "res": "-21%"}], "program": "subtract(3234, 4070), divide(#0, 4070)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": -0.20541, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(3234, 4070), 4070)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["-21%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001356", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities between 2004 and 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "15%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities between 2004 and 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2006/page_36.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2004 and 2005?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2595", "arg2": "2257", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2257", "res": "15%"}], "program": "subtract(2595, 2257), divide(#0, 2257)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.14976, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2595, 2257), 2257)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["15%"]}, "rejected_source": {"id": "UNP/2006/page_36.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2005 and 2006?", "answer": "11%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2880", "arg2": "2595", "res": "285"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2595", "res": "11%"}], "program": "subtract(2880, 2595), divide(#0, 2595)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.10983, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2880, 2595), 2595)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001357", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities between 2004 and 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "15%.", "rejected": "24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities between 2004 and 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2006/page_36.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2004 and 2005?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2595", "arg2": "2257", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2257", "res": "15%"}], "program": "subtract(2595, 2257), divide(#0, 2257)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.14976, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2595, 2257), 2257)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["15%"]}, "rejected_source": {"id": "UNP/2009/page_38.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2007 to 2008?", "answer": "24%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4070", "arg2": "3277", "res": "793"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3277", "res": "24%"}], "program": "subtract(4070, 3277), divide(#0, 3277)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": 0.24199, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(4070, 3277), 3277)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001358", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "24%.", "rejected": "-21%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2009/page_38.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2007 to 2008?", "answer": "24%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4070", "arg2": "3277", "res": "793"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3277", "res": "24%"}], "program": "subtract(4070, 3277), divide(#0, 3277)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": 0.24199, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(4070, 3277), 3277)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["24%"]}, "rejected_source": {"id": "UNP/2009/page_38.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2008 to 2009?", "answer": "-21%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "3234", "arg2": "4070", "res": "-836"}, {"op": "divide2-2", "arg1": "#0", "arg2": "4070", "res": "-21%"}], "program": "subtract(3234, 4070), divide(#0, 4070)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": -0.20541, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(3234, 4070), 4070)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["-21%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001359", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "24%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2009/page_38.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2007 to 2008?", "answer": "24%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4070", "arg2": "3277", "res": "793"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3277", "res": "24%"}], "program": "subtract(4070, 3277), divide(#0, 3277)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": 0.24199, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(4070, 3277), 3277)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["24%"]}, "rejected_source": {"id": "UNP/2006/page_36.pdf-3", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2005 and 2006?", "answer": "11%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2880", "arg2": "2595", "res": "285"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2595", "res": "11%"}], "program": "subtract(2880, 2595), divide(#0, 2595)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.10983, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2880, 2595), 2595)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001360", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash provided by operating activities from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "24%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in cash provided by operating activities <TIME>?", "original_question": "what was the percentage change in cash provided by operating activities from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "between 2004 and 2005"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "between 2005 and 2006"}], "24%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-21%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2009/page_38.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities from 2007 to 2008?", "answer": "24%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4070", "arg2": "3277", "res": "793"}, {"op": "divide1-2", "arg1": "#0", "arg2": "3277", "res": "24%"}], "program": "subtract(4070, 3277), divide(#0, 3277)", "gold_inds": {"table_1": "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"}, "exe_ans": 0.24199, "tfidftopn": {"table_4": "millions of dollars The net change in cash and cash equivalents of 2009 is $ 601 ; The net change in cash and cash equivalents of 2008 is $ 371 ; The net change in cash and cash equivalents of 2007 is $ 51 ;", "text_7": "higher net income and changes in working capital combined to increase cash provided by operating activities in 2008 compared to 2007 ."}, "program_re": "divide(subtract(4070, 3277), 3277)", "model_input": [["text_5", "cash flows millions of dollars 2009 2008 2007 ."], ["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_3", "millions of dollars the cash used in financing activities of 2009 is -458 ( 458 ) ; the cash used in financing activities of 2008 is -935 ( 935 ) ; the cash used in financing activities of 2007 is -800 ( 800 ) ;"]]}, "answers": ["24%"]}, "rejected_source": {"id": "UNP/2006/page_36.pdf-4", "qa": {"question": "what was the percentage change in cash provided by operating activities between 2004 and 2005?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2595", "arg2": "2257", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2257", "res": "15%"}], "program": "subtract(2595, 2257), divide(#0, 2257)", "gold_inds": {"table_1": "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"}, "exe_ans": 0.14976, "tfidftopn": {"table_4": "cash flowsmillions of dollars The net change in cash and cash equivalents of 2006 is $ 54 ; The net change in cash and cash equivalents of 2005 is $ -204 ( 204 ) ; The net change in cash and cash equivalents of 2004 is $ 450 ;", "text_12": "cash provided by operating activities 2013 higher income in 2006 generated the increased cash provided by operating activities , which was partially offset by higher income tax payments , $ 150 million in voluntary pension contributions , higher material and supply inventories , and higher management incentive payments in 2006 ."}, "program_re": "divide(subtract(2595, 2257), 2257)", "model_input": [["text_8", "at both december 31 , 2006 and 2005 , we had a working capital deficit of approximately $ 1.1 billion ."], ["text_11", "financial condition cash flows millions of dollars 2006 2005 2004 ."], ["table_1", "cash flowsmillions of dollars the cash provided by operating activities of 2006 is $ 2880 ; the cash provided by operating activities of 2005 is $ 2595 ; the cash provided by operating activities of 2004 is $ 2257 ;"]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001361", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net earnings attributable to altria group inc . in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-28.2%.", "rejected": "171.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what is the growth rate in net earnings attributable to altria group inc . <TIME>?", "doc_prefix": "MO", "base_question": "what is the growth rate in net earnings attributable to altria group inc . <TIME>?", "original_question": "what is the growth rate in net earnings attributable to altria group inc . in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"171.7%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-28.2%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2017/page_65.pdf-4", "qa": {"question": "what is the growth rate in net earnings attributable to altria group inc . in 2017?", "answer": "-28.2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "10222", "arg2": "14239", "res": "-4017"}, {"op": "divide1-2", "arg1": "#0", "arg2": "14239", "res": "-28.2%"}], "program": "subtract(10222, 14239), divide(#0, 14239)", "gold_inds": {"table_1": "( in millions ) the net earnings attributable to altria group inc . of for the years ended december 31 , 2017 is $ 10222 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2016 is $ 14239 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2015 is $ 5241 ;"}, "exe_ans": -0.28211, "tfidftopn": {"text_15": "net earnings attributable to altria group , inc .", "text_3": "these performance measures consist of altria group , inc . 2019s adjusted diluted earnings per share ( 201ceps 201d ) compounded annual growth rate and altria group , inc . 2019s total shareholder return relative to a predetermined peer group ."}, "program_re": "divide(subtract(10222, 14239), 14239)", "model_input": [["table_1", "( in millions ) the net earnings attributable to altria group inc . of for the years ended december 31 , 2017 is $ 10222 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2016 is $ 14239 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2015 is $ 5241 ;"], ["text_15", "net earnings attributable to altria group , inc ."], ["text_16", "$ 10222 $ 14239 $ 5241 less : distributed and undistributed earnings attributable to share-based awards ( 14 ) ( 24 ) ( 10 ) earnings for basic and diluted eps $ 10208 $ 14215 $ 5231 weighted-average shares for basic and diluted eps 1921 1952 1961 ."]]}, "answers": ["-28.2%"]}, "rejected_source": {"id": "MO/2017/page_65.pdf-3", "qa": {"question": "what is the growth rate in net earnings attributable to altria group inc . in 2016?", "answer": "171.7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "14239", "arg2": "5241", "res": "8998"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5241", "res": "171.7%"}], "program": "subtract(14239, 5241), divide(#0, 5241)", "gold_inds": {"table_1": "( in millions ) the net earnings attributable to altria group inc . of for the years ended december 31 , 2017 is $ 10222 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2016 is $ 14239 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2015 is $ 5241 ;"}, "exe_ans": 1.71685, "tfidftopn": {"text_15": "net earnings attributable to altria group , inc .", "text_3": "these performance measures consist of altria group , inc . 2019s adjusted diluted earnings per share ( 201ceps 201d ) compounded annual growth rate and altria group , inc . 2019s total shareholder return relative to a predetermined peer group ."}, "program_re": "divide(subtract(14239, 5241), 5241)", "model_input": [["table_1", "( in millions ) the net earnings attributable to altria group inc . of for the years ended december 31 , 2017 is $ 10222 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2016 is $ 14239 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2015 is $ 5241 ;"], ["text_15", "net earnings attributable to altria group , inc ."], ["text_16", "$ 10222 $ 14239 $ 5241 less : distributed and undistributed earnings attributable to share-based awards ( 14 ) ( 24 ) ( 10 ) earnings for basic and diluted eps $ 10208 $ 14215 $ 5231 weighted-average shares for basic and diluted eps 1921 1952 1961 ."]]}, "answers": ["171.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001362", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the growth rate in net earnings attributable to altria group inc . in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "171.7%.", "rejected": "-28.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what is the growth rate in net earnings attributable to altria group inc . <TIME>?", "doc_prefix": "MO", "base_question": "what is the growth rate in net earnings attributable to altria group inc . <TIME>?", "original_question": "what is the growth rate in net earnings attributable to altria group inc . in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"171.7%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "-28.2%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "MO/2017/page_65.pdf-3", "qa": {"question": "what is the growth rate in net earnings attributable to altria group inc . in 2016?", "answer": "171.7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "14239", "arg2": "5241", "res": "8998"}, {"op": "divide2-2", "arg1": "#0", "arg2": "5241", "res": "171.7%"}], "program": "subtract(14239, 5241), divide(#0, 5241)", "gold_inds": {"table_1": "( in millions ) the net earnings attributable to altria group inc . of for the years ended december 31 , 2017 is $ 10222 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2016 is $ 14239 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2015 is $ 5241 ;"}, "exe_ans": 1.71685, "tfidftopn": {"text_15": "net earnings attributable to altria group , inc .", "text_3": "these performance measures consist of altria group , inc . 2019s adjusted diluted earnings per share ( 201ceps 201d ) compounded annual growth rate and altria group , inc . 2019s total shareholder return relative to a predetermined peer group ."}, "program_re": "divide(subtract(14239, 5241), 5241)", "model_input": [["table_1", "( in millions ) the net earnings attributable to altria group inc . of for the years ended december 31 , 2017 is $ 10222 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2016 is $ 14239 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2015 is $ 5241 ;"], ["text_15", "net earnings attributable to altria group , inc ."], ["text_16", "$ 10222 $ 14239 $ 5241 less : distributed and undistributed earnings attributable to share-based awards ( 14 ) ( 24 ) ( 10 ) earnings for basic and diluted eps $ 10208 $ 14215 $ 5231 weighted-average shares for basic and diluted eps 1921 1952 1961 ."]]}, "answers": ["171.7%"]}, "rejected_source": {"id": "MO/2017/page_65.pdf-4", "qa": {"question": "what is the growth rate in net earnings attributable to altria group inc . in 2017?", "answer": "-28.2%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "10222", "arg2": "14239", "res": "-4017"}, {"op": "divide1-2", "arg1": "#0", "arg2": "14239", "res": "-28.2%"}], "program": "subtract(10222, 14239), divide(#0, 14239)", "gold_inds": {"table_1": "( in millions ) the net earnings attributable to altria group inc . of for the years ended december 31 , 2017 is $ 10222 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2016 is $ 14239 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2015 is $ 5241 ;"}, "exe_ans": -0.28211, "tfidftopn": {"text_15": "net earnings attributable to altria group , inc .", "text_3": "these performance measures consist of altria group , inc . 2019s adjusted diluted earnings per share ( 201ceps 201d ) compounded annual growth rate and altria group , inc . 2019s total shareholder return relative to a predetermined peer group ."}, "program_re": "divide(subtract(10222, 14239), 14239)", "model_input": [["table_1", "( in millions ) the net earnings attributable to altria group inc . of for the years ended december 31 , 2017 is $ 10222 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2016 is $ 14239 ; the net earnings attributable to altria group inc . of for the years ended december 31 , 2015 is $ 5241 ;"], ["text_15", "net earnings attributable to altria group , inc ."], ["text_16", "$ 10222 $ 14239 $ 5241 less : distributed and undistributed earnings attributable to share-based awards ( 14 ) ( 24 ) ( 10 ) earnings for basic and diluted eps $ 10208 $ 14215 $ 5231 weighted-average shares for basic and diluted eps 1921 1952 1961 ."]]}, "answers": ["-28.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001363", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the total multi-assets is related to asset allocation as of december 31 , 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "52.3%.", "rejected": "56.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what portion of the total multi-assets is related to asset allocation as of december 31 , <TIME>?", "doc_prefix": "BLK", "base_question": "what portion of the total multi-assets is related to asset allocation as of december 31 , <TIME>?", "original_question": "what portion of the total multi-assets is related to asset allocation as of december 31 , 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"56.0%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "52.3%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "BLK/2012/page_31.pdf-4", "qa": {"question": "what portion of the total multi-assets is related to asset allocation as of december 31 , 2012?", "answer": "52.3%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "140160", "arg2": "267748", "res": "52.3%"}], "program": "divide(140160, 267748)", "gold_inds": {"table_1": "( dollar amounts in millions ) the asset allocation of 12/31/2011 is $ 126067 ; the asset allocation of net new business is $ 1575 ; the asset allocation of net acquired is $ 78 ; the asset allocation of market /fx app ( dep ) is $ 12440 ; the asset allocation of 12/31/2012 is $ 140160 ;", "table_4": "( dollar amounts in millions ) the multi-asset of 12/31/2011 is $ 225170 ; the multi-asset of net new business is $ 15817 ; the multi-asset of net acquired is $ 78 ; the multi-asset of market /fx app ( dep ) is $ 26683 ; the multi-asset of 12/31/2012 is $ 267748 ;"}, "exe_ans": 0.52348, "tfidftopn": {"text_23": "multi-asset class component changes in multi-asset class aum ( dollar amounts in millions ) 12/31/2011 net new business acquired market /fx app ( dep ) 12/31/2012 ."}, "program_re": "divide(140160, 267748)", "model_input": [["table_1", "( dollar amounts in millions ) the asset allocation of 12/31/2011 is $ 126067 ; the asset allocation of net new business is $ 1575 ; the asset allocation of net acquired is $ 78 ; the asset allocation of market /fx app ( dep ) is $ 12440 ; the asset allocation of 12/31/2012 is $ 140160 ;"], ["table_4", "( dollar amounts in millions ) the multi-asset of 12/31/2011 is $ 225170 ; the multi-asset of net new business is $ 15817 ; the multi-asset of net acquired is $ 78 ; the multi-asset of market /fx app ( dep ) is $ 26683 ; the multi-asset of 12/31/2012 is $ 267748 ;"], ["text_24", "multi-asset class aum totaled $ 267.7 billion at year-end 2012 , up 19% ( 19 % ) , or $ 42.6 billion , reflecting $ 15.8 billion in net new business and $ 26.7 billion in portfolio valuation gains ."]]}, "answers": ["52.3%"]}, "rejected_source": {"id": "BLK/2012/page_31.pdf-3", "qa": {"question": "what portion of the total multi-assets is related to asset allocation as of december 31 , 2011?", "answer": "56.0%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "126067", "arg2": "225170", "res": "56.0%"}], "program": "divide(126067, 225170)", "gold_inds": {"table_1": "( dollar amounts in millions ) the asset allocation of 12/31/2011 is $ 126067 ; the asset allocation of net new business is $ 1575 ; the asset allocation of net acquired is $ 78 ; the asset allocation of market /fx app ( dep ) is $ 12440 ; the asset allocation of 12/31/2012 is $ 140160 ;", "table_4": "( dollar amounts in millions ) the multi-asset of 12/31/2011 is $ 225170 ; the multi-asset of net new business is $ 15817 ; the multi-asset of net acquired is $ 78 ; the multi-asset of market /fx app ( dep ) is $ 26683 ; the multi-asset of 12/31/2012 is $ 267748 ;"}, "exe_ans": 0.55987, "tfidftopn": {"text_23": "multi-asset class component changes in multi-asset class aum ( dollar amounts in millions ) 12/31/2011 net new business acquired market /fx app ( dep ) 12/31/2012 ."}, "program_re": "divide(126067, 225170)", "model_input": [["table_1", "( dollar amounts in millions ) the asset allocation of 12/31/2011 is $ 126067 ; the asset allocation of net new business is $ 1575 ; the asset allocation of net acquired is $ 78 ; the asset allocation of market /fx app ( dep ) is $ 12440 ; the asset allocation of 12/31/2012 is $ 140160 ;"], ["table_4", "( dollar amounts in millions ) the multi-asset of 12/31/2011 is $ 225170 ; the multi-asset of net new business is $ 15817 ; the multi-asset of net acquired is $ 78 ; the multi-asset of market /fx app ( dep ) is $ 26683 ; the multi-asset of 12/31/2012 is $ 267748 ;"], ["text_24", "multi-asset class aum totaled $ 267.7 billion at year-end 2012 , up 19% ( 19 % ) , or $ 42.6 billion , reflecting $ 15.8 billion in net new business and $ 26.7 billion in portfolio valuation gains ."]]}, "answers": ["56.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001364", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the total multi-assets is related to asset allocation as of december 31 , 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "56.0%.", "rejected": "52.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what portion of the total multi-assets is related to asset allocation as of december 31 , <TIME>?", "doc_prefix": "BLK", "base_question": "what portion of the total multi-assets is related to asset allocation as of december 31 , <TIME>?", "original_question": "what portion of the total multi-assets is related to asset allocation as of december 31 , 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"56.0%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "52.3%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "BLK/2012/page_31.pdf-3", "qa": {"question": "what portion of the total multi-assets is related to asset allocation as of december 31 , 2011?", "answer": "56.0%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "126067", "arg2": "225170", "res": "56.0%"}], "program": "divide(126067, 225170)", "gold_inds": {"table_1": "( dollar amounts in millions ) the asset allocation of 12/31/2011 is $ 126067 ; the asset allocation of net new business is $ 1575 ; the asset allocation of net acquired is $ 78 ; the asset allocation of market /fx app ( dep ) is $ 12440 ; the asset allocation of 12/31/2012 is $ 140160 ;", "table_4": "( dollar amounts in millions ) the multi-asset of 12/31/2011 is $ 225170 ; the multi-asset of net new business is $ 15817 ; the multi-asset of net acquired is $ 78 ; the multi-asset of market /fx app ( dep ) is $ 26683 ; the multi-asset of 12/31/2012 is $ 267748 ;"}, "exe_ans": 0.55987, "tfidftopn": {"text_23": "multi-asset class component changes in multi-asset class aum ( dollar amounts in millions ) 12/31/2011 net new business acquired market /fx app ( dep ) 12/31/2012 ."}, "program_re": "divide(126067, 225170)", "model_input": [["table_1", "( dollar amounts in millions ) the asset allocation of 12/31/2011 is $ 126067 ; the asset allocation of net new business is $ 1575 ; the asset allocation of net acquired is $ 78 ; the asset allocation of market /fx app ( dep ) is $ 12440 ; the asset allocation of 12/31/2012 is $ 140160 ;"], ["table_4", "( dollar amounts in millions ) the multi-asset of 12/31/2011 is $ 225170 ; the multi-asset of net new business is $ 15817 ; the multi-asset of net acquired is $ 78 ; the multi-asset of market /fx app ( dep ) is $ 26683 ; the multi-asset of 12/31/2012 is $ 267748 ;"], ["text_24", "multi-asset class aum totaled $ 267.7 billion at year-end 2012 , up 19% ( 19 % ) , or $ 42.6 billion , reflecting $ 15.8 billion in net new business and $ 26.7 billion in portfolio valuation gains ."]]}, "answers": ["56.0%"]}, "rejected_source": {"id": "BLK/2012/page_31.pdf-4", "qa": {"question": "what portion of the total multi-assets is related to asset allocation as of december 31 , 2012?", "answer": "52.3%", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "140160", "arg2": "267748", "res": "52.3%"}], "program": "divide(140160, 267748)", "gold_inds": {"table_1": "( dollar amounts in millions ) the asset allocation of 12/31/2011 is $ 126067 ; the asset allocation of net new business is $ 1575 ; the asset allocation of net acquired is $ 78 ; the asset allocation of market /fx app ( dep ) is $ 12440 ; the asset allocation of 12/31/2012 is $ 140160 ;", "table_4": "( dollar amounts in millions ) the multi-asset of 12/31/2011 is $ 225170 ; the multi-asset of net new business is $ 15817 ; the multi-asset of net acquired is $ 78 ; the multi-asset of market /fx app ( dep ) is $ 26683 ; the multi-asset of 12/31/2012 is $ 267748 ;"}, "exe_ans": 0.52348, "tfidftopn": {"text_23": "multi-asset class component changes in multi-asset class aum ( dollar amounts in millions ) 12/31/2011 net new business acquired market /fx app ( dep ) 12/31/2012 ."}, "program_re": "divide(140160, 267748)", "model_input": [["table_1", "( dollar amounts in millions ) the asset allocation of 12/31/2011 is $ 126067 ; the asset allocation of net new business is $ 1575 ; the asset allocation of net acquired is $ 78 ; the asset allocation of market /fx app ( dep ) is $ 12440 ; the asset allocation of 12/31/2012 is $ 140160 ;"], ["table_4", "( dollar amounts in millions ) the multi-asset of 12/31/2011 is $ 225170 ; the multi-asset of net new business is $ 15817 ; the multi-asset of net acquired is $ 78 ; the multi-asset of market /fx app ( dep ) is $ 26683 ; the multi-asset of 12/31/2012 is $ 267748 ;"], ["text_24", "multi-asset class aum totaled $ 267.7 billion at year-end 2012 , up 19% ( 19 % ) , or $ 42.6 billion , reflecting $ 15.8 billion in net new business and $ 26.7 billion in portfolio valuation gains ."]]}, "answers": ["52.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001365", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage did the balance increase from 2007 to 2009?\nReference time interval: 2007-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "83.6%.", "rejected": "86.5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADI || what percentage did the balance increase <TIME>?", "doc_prefix": "ADI", "base_question": "what percentage did the balance increase <TIME>?", "original_question": "what percentage did the balance increase from 2007 to 2009?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2007 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"83.6%": [{"start": "2007-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2007 to 2009"}], "86.5%": [{"start": "2007-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2007 to 2010"}]}, "chosen_source": {"id": "ADI/2009/page_90.pdf-3", "qa": {"question": "what percentage did the balance increase from 2007 to 2009?", "answer": "83.6%", "explanation": "to find the percentage increase one must subtract the two year's balances and then divide the answer by the balance for 2007 .", "ann_table_rows": [4], "ann_text_rows": [5], "steps": [{"op": "minus1-1", "arg1": "18161", "arg2": "9889", "res": "8272"}, {"op": "divide1-2", "arg1": "#0", "arg2": "9889", "res": "83.6%"}], "program": "subtract(18161, 9889), divide(#0, 9889)", "gold_inds": {"table_4": "balance november 3 2007 the balance october 31 2009 of $ 9889 is $ 18161 ;", "text_5": "the following table summarizes the changes in the total amounts of uncertain tax positions for fiscal 2008 and fiscal 2009. ."}, "exe_ans": 0.83648, "tfidftopn": {"table_2": "balance november 3 2007 The balance november 1 2008 of $ 9889 is 13750 ;"}, "program_re": "divide(subtract(18161, 9889), 9889)", "model_input": [["text_5", "the following table summarizes the changes in the total amounts of uncertain tax positions for fiscal 2008 and fiscal 2009. ."], ["table_2", "balance november 3 2007 the balance november 1 2008 of $ 9889 is 13750 ;"], ["table_4", "balance november 3 2007 the balance october 31 2009 of $ 9889 is $ 18161 ;"]]}, "answers": ["83.6%"]}, "rejected_source": {"id": "ADI/2010/page_90.pdf-3", "qa": {"question": "what percentage did the balance increase from 2007 to 2010?", "answer": "86.5%", "explanation": "to find the percentage increase from 2007 to 2010 one must take the balance for 2010 and subtract that by the balance for 2007 . then take the answer and divide it by the balance for 2007 .", "ann_table_rows": [1, 2, 3, 4, 5, 6], "ann_text_rows": [15], "steps": [{"op": "minus1-1", "arg1": "18447", "arg2": "9889", "res": "8558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "9889", "res": "86.5%"}], "program": "subtract(18447, 9889), divide(#0, 9889)", "gold_inds": {"table_1": "balance november 3 2007 the additions for tax positions of 2008 of $ 9889 is 3861 ;", "table_2": "balance november 3 2007 the balance november 1 2008 of $ 9889 is 13750 ;", "table_3": "balance november 3 2007 the additions for tax positions of 2009 of $ 9889 is 4411 ;", "table_4": "balance november 3 2007 the balance october 31 2009 of $ 9889 is 18161 ;", "table_5": "balance november 3 2007 the additions for tax positions of 2010 of $ 9889 is 286 ;", "table_6": "balance november 3 2007 the balance october 30 2010 of $ 9889 is $ 18447 ;", "text_15": "the following table summarizes the changes in the total amounts of uncertain tax positions for fiscal 2008 through fiscal 2010. ."}, "exe_ans": 0.86541, "tfidftopn": {}, "program_re": "divide(subtract(18447, 9889), 9889)", "model_input": [["text_15", "the following table summarizes the changes in the total amounts of uncertain tax positions for fiscal 2008 through fiscal 2010. ."], ["table_1", "balance november 3 2007 the additions for tax positions of 2008 of $ 9889 is 3861 ;"], ["table_2", "balance november 3 2007 the balance november 1 2008 of $ 9889 is 13750 ;"], ["table_3", "balance november 3 2007 the additions for tax positions of 2009 of $ 9889 is 4411 ;"], ["table_4", "balance november 3 2007 the balance october 31 2009 of $ 9889 is 18161 ;"], ["table_5", "balance november 3 2007 the additions for tax positions of 2010 of $ 9889 is 286 ;"], ["table_6", "balance november 3 2007 the balance october 30 2010 of $ 9889 is $ 18447 ;"]]}, "answers": ["86.5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001366", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage did the balance increase from 2007 to 2010?\nReference time interval: 2007-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "86.5%.", "rejected": "83.6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ADI || what percentage did the balance increase <TIME>?", "doc_prefix": "ADI", "base_question": "what percentage did the balance increase <TIME>?", "original_question": "what percentage did the balance increase from 2007 to 2010?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2007 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"83.6%": [{"start": "2007-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2007 to 2009"}], "86.5%": [{"start": "2007-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2007 to 2010"}]}, "chosen_source": {"id": "ADI/2010/page_90.pdf-3", "qa": {"question": "what percentage did the balance increase from 2007 to 2010?", "answer": "86.5%", "explanation": "to find the percentage increase from 2007 to 2010 one must take the balance for 2010 and subtract that by the balance for 2007 . then take the answer and divide it by the balance for 2007 .", "ann_table_rows": [1, 2, 3, 4, 5, 6], "ann_text_rows": [15], "steps": [{"op": "minus1-1", "arg1": "18447", "arg2": "9889", "res": "8558"}, {"op": "divide1-2", "arg1": "#0", "arg2": "9889", "res": "86.5%"}], "program": "subtract(18447, 9889), divide(#0, 9889)", "gold_inds": {"table_1": "balance november 3 2007 the additions for tax positions of 2008 of $ 9889 is 3861 ;", "table_2": "balance november 3 2007 the balance november 1 2008 of $ 9889 is 13750 ;", "table_3": "balance november 3 2007 the additions for tax positions of 2009 of $ 9889 is 4411 ;", "table_4": "balance november 3 2007 the balance october 31 2009 of $ 9889 is 18161 ;", "table_5": "balance november 3 2007 the additions for tax positions of 2010 of $ 9889 is 286 ;", "table_6": "balance november 3 2007 the balance october 30 2010 of $ 9889 is $ 18447 ;", "text_15": "the following table summarizes the changes in the total amounts of uncertain tax positions for fiscal 2008 through fiscal 2010. ."}, "exe_ans": 0.86541, "tfidftopn": {}, "program_re": "divide(subtract(18447, 9889), 9889)", "model_input": [["text_15", "the following table summarizes the changes in the total amounts of uncertain tax positions for fiscal 2008 through fiscal 2010. ."], ["table_1", "balance november 3 2007 the additions for tax positions of 2008 of $ 9889 is 3861 ;"], ["table_2", "balance november 3 2007 the balance november 1 2008 of $ 9889 is 13750 ;"], ["table_3", "balance november 3 2007 the additions for tax positions of 2009 of $ 9889 is 4411 ;"], ["table_4", "balance november 3 2007 the balance october 31 2009 of $ 9889 is 18161 ;"], ["table_5", "balance november 3 2007 the additions for tax positions of 2010 of $ 9889 is 286 ;"], ["table_6", "balance november 3 2007 the balance october 30 2010 of $ 9889 is $ 18447 ;"]]}, "answers": ["86.5%"]}, "rejected_source": {"id": "ADI/2009/page_90.pdf-3", "qa": {"question": "what percentage did the balance increase from 2007 to 2009?", "answer": "83.6%", "explanation": "to find the percentage increase one must subtract the two year's balances and then divide the answer by the balance for 2007 .", "ann_table_rows": [4], "ann_text_rows": [5], "steps": [{"op": "minus1-1", "arg1": "18161", "arg2": "9889", "res": "8272"}, {"op": "divide1-2", "arg1": "#0", "arg2": "9889", "res": "83.6%"}], "program": "subtract(18161, 9889), divide(#0, 9889)", "gold_inds": {"table_4": "balance november 3 2007 the balance october 31 2009 of $ 9889 is $ 18161 ;", "text_5": "the following table summarizes the changes in the total amounts of uncertain tax positions for fiscal 2008 and fiscal 2009. ."}, "exe_ans": 0.83648, "tfidftopn": {"table_2": "balance november 3 2007 The balance november 1 2008 of $ 9889 is 13750 ;"}, "program_re": "divide(subtract(18161, 9889), 9889)", "model_input": [["text_5", "the following table summarizes the changes in the total amounts of uncertain tax positions for fiscal 2008 and fiscal 2009. ."], ["table_2", "balance november 3 2007 the balance november 1 2008 of $ 9889 is 13750 ;"], ["table_4", "balance november 3 2007 the balance october 31 2009 of $ 9889 is $ 18161 ;"]]}, "answers": ["83.6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001367", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for the coatings segment in 2005?\nReference time interval: 2005-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "11%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the operating margin for the coatings segment <TIME>?", "doc_prefix": "PPG", "base_question": "what was the operating margin for the coatings segment <TIME>?", "original_question": "what was the operating margin for the coatings segment in 2005?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "PPG/2005/page_20.pdf-3", "qa": {"question": "what was the operating margin for the coatings segment in 2005?", "answer": "11%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "609", "arg2": "5566", "res": "11%"}], "program": "divide(609, 5566)", "gold_inds": {"table_1": "( millions ) the coatings of net sales 2005 is $ 5566 ; the coatings of net sales 2004 is $ 5275 ; the coatings of net sales 2005 is $ 609 ; the coatings of 2004 is $ 777 ;"}, "exe_ans": 0.10941, "tfidftopn": {"text_3": "coatings sales increased $ 291 million or 5% ( 5 % ) in 2005 .", "text_19": "production capacity on higher margin direct process products ."}, "program_re": "divide(609, 5566)", "model_input": [["table_1", "( millions ) the coatings of net sales 2005 is $ 5566 ; the coatings of net sales 2004 is $ 5275 ; the coatings of net sales 2005 is $ 609 ; the coatings of 2004 is $ 777 ;"], ["table_2", "( millions ) the glass of net sales 2005 is 2237 ; the glass of net sales 2004 is 2204 ; the glass of net sales 2005 is 56 ; the glass of 2004 is 169 ;"], ["text_3", "coatings sales increased $ 291 million or 5% ( 5 % ) in 2005 ."]]}, "answers": ["11%"]}, "rejected_source": {"id": "PPG/2005/page_20.pdf-4", "qa": {"question": "what was the operating margin for the coatings segment in 2004?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "777", "arg2": "5275", "res": "15%"}], "program": "divide(777, 5275)", "gold_inds": {"table_1": "( millions ) the coatings of net sales 2005 is $ 5566 ; the coatings of net sales 2004 is $ 5275 ; the coatings of net sales 2005 is $ 609 ; the coatings of 2004 is $ 777 ;"}, "exe_ans": 0.1473, "tfidftopn": {"text_19": "production capacity on higher margin direct process products .", "text_2": "results of business segments net sales operating income ( millions ) 2005 2004 2005 2004 ."}, "program_re": "divide(777, 5275)", "model_input": [["table_1", "( millions ) the coatings of net sales 2005 is $ 5566 ; the coatings of net sales 2004 is $ 5275 ; the coatings of net sales 2005 is $ 609 ; the coatings of 2004 is $ 777 ;"], ["text_3", "coatings sales increased $ 291 million or 5% ( 5 % ) in 2005 ."], ["text_14", "the federal glass class action antitrust legal settlement of $ 61 million , the $ 49 million impact of rising natural gas costs and the absence of the $ 19 million gain in 2004 from the sale/ leaseback of precious metal combined to account for a reduction in operating earnings of $ 129 million ."]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001368", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the operating margin for the coatings segment in 2004?\nReference time interval: 2004-01-01 00:00:00 to 2005-01-01 00:00:00", "chosen": "15%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the operating margin for the coatings segment <TIME>?", "doc_prefix": "PPG", "base_question": "what was the operating margin for the coatings segment <TIME>?", "original_question": "what was the operating margin for the coatings segment in 2004?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2004-01-01 00:00:00", "end": "2005-01-01 00:00:00", "normalized_text": "2004"}], "11%": [{"start": "2005-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "2005"}]}, "chosen_source": {"id": "PPG/2005/page_20.pdf-4", "qa": {"question": "what was the operating margin for the coatings segment in 2004?", "answer": "15%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "777", "arg2": "5275", "res": "15%"}], "program": "divide(777, 5275)", "gold_inds": {"table_1": "( millions ) the coatings of net sales 2005 is $ 5566 ; the coatings of net sales 2004 is $ 5275 ; the coatings of net sales 2005 is $ 609 ; the coatings of 2004 is $ 777 ;"}, "exe_ans": 0.1473, "tfidftopn": {"text_19": "production capacity on higher margin direct process products .", "text_2": "results of business segments net sales operating income ( millions ) 2005 2004 2005 2004 ."}, "program_re": "divide(777, 5275)", "model_input": [["table_1", "( millions ) the coatings of net sales 2005 is $ 5566 ; the coatings of net sales 2004 is $ 5275 ; the coatings of net sales 2005 is $ 609 ; the coatings of 2004 is $ 777 ;"], ["text_3", "coatings sales increased $ 291 million or 5% ( 5 % ) in 2005 ."], ["text_14", "the federal glass class action antitrust legal settlement of $ 61 million , the $ 49 million impact of rising natural gas costs and the absence of the $ 19 million gain in 2004 from the sale/ leaseback of precious metal combined to account for a reduction in operating earnings of $ 129 million ."]]}, "answers": ["15%"]}, "rejected_source": {"id": "PPG/2005/page_20.pdf-3", "qa": {"question": "what was the operating margin for the coatings segment in 2005?", "answer": "11%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "609", "arg2": "5566", "res": "11%"}], "program": "divide(609, 5566)", "gold_inds": {"table_1": "( millions ) the coatings of net sales 2005 is $ 5566 ; the coatings of net sales 2004 is $ 5275 ; the coatings of net sales 2005 is $ 609 ; the coatings of 2004 is $ 777 ;"}, "exe_ans": 0.10941, "tfidftopn": {"text_3": "coatings sales increased $ 291 million or 5% ( 5 % ) in 2005 .", "text_19": "production capacity on higher margin direct process products ."}, "program_re": "divide(609, 5566)", "model_input": [["table_1", "( millions ) the coatings of net sales 2005 is $ 5566 ; the coatings of net sales 2004 is $ 5275 ; the coatings of net sales 2005 is $ 609 ; the coatings of 2004 is $ 777 ;"], ["table_2", "( millions ) the glass of net sales 2005 is 2237 ; the glass of net sales 2004 is 2204 ; the glass of net sales 2005 is 56 ; the glass of 2004 is 169 ;"], ["text_3", "coatings sales increased $ 291 million or 5% ( 5 % ) in 2005 ."]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001369", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of total rig count is in north america in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "53.3%.", "rejected": "55.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BKR || what portion of total rig count is in north america <TIME>?", "doc_prefix": "BKR", "base_question": "what portion of total rig count is in north america <TIME>?", "original_question": "what portion of total rig count is in north america in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"53.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "55.3%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "BKR/2018/page_52.pdf-2", "qa": {"question": "what portion of total rig count is in north america in 2017?", "answer": "53.3%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1082", "arg2": "2030", "res": "53.3%"}], "program": "divide(1082, 2030)", "gold_inds": {"table_2": "the international of 2018 is 988 ; the international of 2017 is 948 ; the international of 2016 is 956 ;", "table_3": "the worldwide of 2018 is 2211 ; the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ;", "table_1": "the north america of 2018 is 1223 ; the north america of 2017 is 1082 ; the north america of 2016 is 642 ;"}, "exe_ans": 0.533, "tfidftopn": {}, "program_re": "divide(1082, 2030)", "model_input": [["table_1", "the north america of 2018 is 1223 ; the north america of 2017 is 1082 ; the north america of 2016 is 642 ;"], ["table_2", "the international of 2018 is 988 ; the international of 2017 is 948 ; the international of 2016 is 956 ;"], ["table_3", "the worldwide of 2018 is 2211 ; the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ;"]]}, "answers": ["53.3%"]}, "rejected_source": {"id": "BKR/2018/page_52.pdf-1", "qa": {"question": "what portion of total rig count is in north america in 2018?", "answer": "55.3%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1223", "arg2": "2211", "res": "55.3%"}], "program": "subtract(1223, 2211)", "gold_inds": {"table_1": "the north america of 2018 is 1223 ; the north america of 2017 is 1082 ; the north america of 2016 is 642 ;", "table_3": "the worldwide of 2018 is 2211 ; the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ;"}, "exe_ans": -988.0, "tfidftopn": {"text_19": "the rig count in north america increased 13% ( 13 % ) in 2018 compared to 2017 ."}, "program_re": "subtract(1223, 2211)", "model_input": [["text_17", "the rig counts are summarized in the table below as averages for each of the periods indicated. ."], ["table_1", "the north america of 2018 is 1223 ; the north america of 2017 is 1082 ; the north america of 2016 is 642 ;"], ["table_3", "the worldwide of 2018 is 2211 ; the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ;"]]}, "answers": ["55.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001370", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of total rig count is in north america in 2018?\nReference time interval: 2018-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "55.3%.", "rejected": "53.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BKR || what portion of total rig count is in north america <TIME>?", "doc_prefix": "BKR", "base_question": "what portion of total rig count is in north america <TIME>?", "original_question": "what portion of total rig count is in north america in 2018?", "reference_time": {"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"53.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "55.3%": [{"start": "2018-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "2018"}]}, "chosen_source": {"id": "BKR/2018/page_52.pdf-1", "qa": {"question": "what portion of total rig count is in north america in 2018?", "answer": "55.3%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1223", "arg2": "2211", "res": "55.3%"}], "program": "subtract(1223, 2211)", "gold_inds": {"table_1": "the north america of 2018 is 1223 ; the north america of 2017 is 1082 ; the north america of 2016 is 642 ;", "table_3": "the worldwide of 2018 is 2211 ; the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ;"}, "exe_ans": -988.0, "tfidftopn": {"text_19": "the rig count in north america increased 13% ( 13 % ) in 2018 compared to 2017 ."}, "program_re": "subtract(1223, 2211)", "model_input": [["text_17", "the rig counts are summarized in the table below as averages for each of the periods indicated. ."], ["table_1", "the north america of 2018 is 1223 ; the north america of 2017 is 1082 ; the north america of 2016 is 642 ;"], ["table_3", "the worldwide of 2018 is 2211 ; the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ;"]]}, "answers": ["55.3%"]}, "rejected_source": {"id": "BKR/2018/page_52.pdf-2", "qa": {"question": "what portion of total rig count is in north america in 2017?", "answer": "53.3%", "explanation": "", "ann_table_rows": [2, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1082", "arg2": "2030", "res": "53.3%"}], "program": "divide(1082, 2030)", "gold_inds": {"table_2": "the international of 2018 is 988 ; the international of 2017 is 948 ; the international of 2016 is 956 ;", "table_3": "the worldwide of 2018 is 2211 ; the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ;", "table_1": "the north america of 2018 is 1223 ; the north america of 2017 is 1082 ; the north america of 2016 is 642 ;"}, "exe_ans": 0.533, "tfidftopn": {}, "program_re": "divide(1082, 2030)", "model_input": [["table_1", "the north america of 2018 is 1223 ; the north america of 2017 is 1082 ; the north america of 2016 is 642 ;"], ["table_2", "the international of 2018 is 988 ; the international of 2017 is 948 ; the international of 2016 is 956 ;"], ["table_3", "the worldwide of 2018 is 2211 ; the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ;"]]}, "answers": ["53.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001371", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in track miles of rail replaced between 2012 and 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-130.", "rejected": "69.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the difference in track miles of rail replaced <TIME>?", "doc_prefix": "UNP", "base_question": "what was the difference in track miles of rail replaced <TIME>?", "original_question": "what was the difference in track miles of rail replaced between 2012 and 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"69": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "-130": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}]}, "chosen_source": {"id": "UNP/2013/page_35.pdf-2", "qa": {"question": "what was the difference in track miles of rail replaced between 2012 and 2013?", "answer": "-130", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "834", "arg2": "964", "res": "-130"}], "program": "subtract(834, 964)", "gold_inds": {"table_1": "the track miles of rail replaced of 2013 is 834 ; the track miles of rail replaced of 2012 is 964 ; the track miles of rail replaced of 2011 is 895 ;"}, "exe_ans": -130.0, "tfidftopn": {"table_2": "The track miles of rail capacity expansion of 2013 is 97 ; The track miles of rail capacity expansion of 2012 is 139 ; The track miles of rail capacity expansion of 2011 is 69 ;", "table_4": "The miles of track surfaced of 2013 is 11017 ; The miles of track surfaced of 2012 is 11049 ; The miles of track surfaced of 2011 is 11284 ;"}, "program_re": "subtract(834, 964)", "model_input": [["table_1", "the track miles of rail replaced of 2013 is 834 ; the track miles of rail replaced of 2012 is 964 ; the track miles of rail replaced of 2011 is 895 ;"], ["table_2", "the track miles of rail capacity expansion of 2013 is 97 ; the track miles of rail capacity expansion of 2012 is 139 ; the track miles of rail capacity expansion of 2011 is 69 ;"], ["table_4", "the miles of track surfaced of 2013 is 11017 ; the miles of track surfaced of 2012 is 11049 ; the miles of track surfaced of 2011 is 11284 ;"]]}, "answers": ["-130"]}, "rejected_source": {"id": "UNP/2013/page_35.pdf-3", "qa": {"question": "what was the difference in track miles of rail replaced between 2011 and 2012?", "answer": "69", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "964", "arg2": "895", "res": "69"}], "program": "subtract(964, 895)", "gold_inds": {"table_1": "the track miles of rail replaced of 2013 is 834 ; the track miles of rail replaced of 2012 is 964 ; the track miles of rail replaced of 2011 is 895 ;"}, "exe_ans": 69.0, "tfidftopn": {"table_2": "The track miles of rail capacity expansion of 2013 is 97 ; The track miles of rail capacity expansion of 2012 is 139 ; The track miles of rail capacity expansion of 2011 is 69 ;", "table_4": "The miles of track surfaced of 2013 is 11017 ; The miles of track surfaced of 2012 is 11049 ; The miles of track surfaced of 2011 is 11284 ;"}, "program_re": "subtract(964, 895)", "model_input": [["table_1", "the track miles of rail replaced of 2013 is 834 ; the track miles of rail replaced of 2012 is 964 ; the track miles of rail replaced of 2011 is 895 ;"], ["table_2", "the track miles of rail capacity expansion of 2013 is 97 ; the track miles of rail capacity expansion of 2012 is 139 ; the track miles of rail capacity expansion of 2011 is 69 ;"], ["table_4", "the miles of track surfaced of 2013 is 11017 ; the miles of track surfaced of 2012 is 11049 ; the miles of track surfaced of 2011 is 11284 ;"]]}, "answers": ["69"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001372", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the difference in track miles of rail replaced between 2011 and 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "69.", "rejected": "-130.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the difference in track miles of rail replaced <TIME>?", "doc_prefix": "UNP", "base_question": "what was the difference in track miles of rail replaced <TIME>?", "original_question": "what was the difference in track miles of rail replaced between 2011 and 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"69": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "between 2011 and 2012"}], "-130": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "between 2012 and 2013"}]}, "chosen_source": {"id": "UNP/2013/page_35.pdf-3", "qa": {"question": "what was the difference in track miles of rail replaced between 2011 and 2012?", "answer": "69", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "964", "arg2": "895", "res": "69"}], "program": "subtract(964, 895)", "gold_inds": {"table_1": "the track miles of rail replaced of 2013 is 834 ; the track miles of rail replaced of 2012 is 964 ; the track miles of rail replaced of 2011 is 895 ;"}, "exe_ans": 69.0, "tfidftopn": {"table_2": "The track miles of rail capacity expansion of 2013 is 97 ; The track miles of rail capacity expansion of 2012 is 139 ; The track miles of rail capacity expansion of 2011 is 69 ;", "table_4": "The miles of track surfaced of 2013 is 11017 ; The miles of track surfaced of 2012 is 11049 ; The miles of track surfaced of 2011 is 11284 ;"}, "program_re": "subtract(964, 895)", "model_input": [["table_1", "the track miles of rail replaced of 2013 is 834 ; the track miles of rail replaced of 2012 is 964 ; the track miles of rail replaced of 2011 is 895 ;"], ["table_2", "the track miles of rail capacity expansion of 2013 is 97 ; the track miles of rail capacity expansion of 2012 is 139 ; the track miles of rail capacity expansion of 2011 is 69 ;"], ["table_4", "the miles of track surfaced of 2013 is 11017 ; the miles of track surfaced of 2012 is 11049 ; the miles of track surfaced of 2011 is 11284 ;"]]}, "answers": ["69"]}, "rejected_source": {"id": "UNP/2013/page_35.pdf-2", "qa": {"question": "what was the difference in track miles of rail replaced between 2012 and 2013?", "answer": "-130", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "834", "arg2": "964", "res": "-130"}], "program": "subtract(834, 964)", "gold_inds": {"table_1": "the track miles of rail replaced of 2013 is 834 ; the track miles of rail replaced of 2012 is 964 ; the track miles of rail replaced of 2011 is 895 ;"}, "exe_ans": -130.0, "tfidftopn": {"table_2": "The track miles of rail capacity expansion of 2013 is 97 ; The track miles of rail capacity expansion of 2012 is 139 ; The track miles of rail capacity expansion of 2011 is 69 ;", "table_4": "The miles of track surfaced of 2013 is 11017 ; The miles of track surfaced of 2012 is 11049 ; The miles of track surfaced of 2011 is 11284 ;"}, "program_re": "subtract(834, 964)", "model_input": [["table_1", "the track miles of rail replaced of 2013 is 834 ; the track miles of rail replaced of 2012 is 964 ; the track miles of rail replaced of 2011 is 895 ;"], ["table_2", "the track miles of rail capacity expansion of 2013 is 97 ; the track miles of rail capacity expansion of 2012 is 139 ; the track miles of rail capacity expansion of 2011 is 69 ;"], ["table_4", "the miles of track surfaced of 2013 is 11017 ; the miles of track surfaced of 2012 is 11049 ; the miles of track surfaced of 2011 is 11284 ;"]]}, "answers": ["-130"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001373", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "152.", "rejected": "394.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2012/page_66.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2010 to 2011?", "answer": "152", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-116", "arg2": "36", "res": "152"}], "program": "subtract(-116, 36)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": -152.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-116, 36)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["152"]}, "rejected_source": {"id": "BLK/2010/page_46.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2008 to 2009?", "answer": "394", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-28", "arg2": "-422", "res": "394"}], "program": "subtract(-28, -422)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 394.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(-28, -422)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["394"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001374", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "152.", "rejected": "64.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2012/page_66.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2010 to 2011?", "answer": "152", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-116", "arg2": "36", "res": "152"}], "program": "subtract(-116, 36)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": -152.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-116, 36)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["152"]}, "rejected_source": {"id": "BLK/2010/page_46.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2009 to 2010?", "answer": "64", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36", "arg2": "-28", "res": "64"}], "program": "subtract(36, -28)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 64.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(36, -28)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["64"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001375", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "152.", "rejected": "80.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2012/page_66.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2010 to 2011?", "answer": "152", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-116", "arg2": "36", "res": "152"}], "program": "subtract(-116, 36)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": -152.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-116, 36)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["152"]}, "rejected_source": {"id": "BLK/2012/page_66.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2011 to 2012?", "answer": "80", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-36", "arg2": "-116", "res": "80"}], "program": "subtract(-36, -116)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": 80.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-36, -116)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["80"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001376", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "394.", "rejected": "152.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2010/page_46.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2008 to 2009?", "answer": "394", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-28", "arg2": "-422", "res": "394"}], "program": "subtract(-28, -422)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 394.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(-28, -422)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["394"]}, "rejected_source": {"id": "BLK/2012/page_66.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2010 to 2011?", "answer": "152", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-116", "arg2": "36", "res": "152"}], "program": "subtract(-116, 36)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": -152.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-116, 36)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["152"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001377", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "394.", "rejected": "64.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2010/page_46.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2008 to 2009?", "answer": "394", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-28", "arg2": "-422", "res": "394"}], "program": "subtract(-28, -422)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 394.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(-28, -422)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["394"]}, "rejected_source": {"id": "BLK/2010/page_46.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2009 to 2010?", "answer": "64", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36", "arg2": "-28", "res": "64"}], "program": "subtract(36, -28)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 64.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(36, -28)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["64"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001378", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "394.", "rejected": "80.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2010/page_46.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2008 to 2009?", "answer": "394", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-28", "arg2": "-422", "res": "394"}], "program": "subtract(-28, -422)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 394.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(-28, -422)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["394"]}, "rejected_source": {"id": "BLK/2012/page_66.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2011 to 2012?", "answer": "80", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-36", "arg2": "-116", "res": "80"}], "program": "subtract(-36, -116)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": 80.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-36, -116)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["80"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001379", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "64.", "rejected": "152.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2010/page_46.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2009 to 2010?", "answer": "64", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36", "arg2": "-28", "res": "64"}], "program": "subtract(36, -28)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 64.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(36, -28)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["64"]}, "rejected_source": {"id": "BLK/2012/page_66.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2010 to 2011?", "answer": "152", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-116", "arg2": "36", "res": "152"}], "program": "subtract(-116, 36)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": -152.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-116, 36)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["152"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001380", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "64.", "rejected": "394.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2010/page_46.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2009 to 2010?", "answer": "64", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36", "arg2": "-28", "res": "64"}], "program": "subtract(36, -28)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 64.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(36, -28)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["64"]}, "rejected_source": {"id": "BLK/2010/page_46.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2008 to 2009?", "answer": "394", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-28", "arg2": "-422", "res": "394"}], "program": "subtract(-28, -422)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 394.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(-28, -422)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["394"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001381", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "64.", "rejected": "80.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2010/page_46.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2009 to 2010?", "answer": "64", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36", "arg2": "-28", "res": "64"}], "program": "subtract(36, -28)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 64.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(36, -28)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["64"]}, "rejected_source": {"id": "BLK/2012/page_66.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2011 to 2012?", "answer": "80", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-36", "arg2": "-116", "res": "80"}], "program": "subtract(-36, -116)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": 80.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-36, -116)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["80"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001382", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "80.", "rejected": "152.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2012/page_66.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2011 to 2012?", "answer": "80", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-36", "arg2": "-116", "res": "80"}], "program": "subtract(-36, -116)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": 80.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-36, -116)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["80"]}, "rejected_source": {"id": "BLK/2012/page_66.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2010 to 2011?", "answer": "152", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-116", "arg2": "36", "res": "152"}], "program": "subtract(-116, 36)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": -152.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-116, 36)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["152"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001383", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "80.", "rejected": "394.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2012/page_66.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2011 to 2012?", "answer": "80", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-36", "arg2": "-116", "res": "80"}], "program": "subtract(-36, -116)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": 80.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-36, -116)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["80"]}, "rejected_source": {"id": "BLK/2010/page_46.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2008 to 2009?", "answer": "394", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "-28", "arg2": "-422", "res": "394"}], "program": "subtract(-28, -422)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 394.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(-28, -422)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["394"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001384", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in non-operating income from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "80.", "rejected": "64.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the net change in non-operating income <TIME>?", "doc_prefix": "BLK", "base_question": "what is the net change in non-operating income <TIME>?", "original_question": "what is the net change in non-operating income from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "64": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "152": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "80": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "BLK/2012/page_66.pdf-4", "qa": {"question": "what is the net change in non-operating income from 2011 to 2012?", "answer": "80", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "-36", "arg2": "-116", "res": "80"}], "program": "subtract(-36, -116)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"}, "exe_ans": 80.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;", "text_21": "( dollar amounts in millions ) 2012 2011 2010 non-operating income ( expense ) , gaap basis ."}, "program_re": "subtract(-36, -116)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of 2012 is $ -54 ( 54 ) ; the non-operating income ( expense ) gaap basis of 2011 is $ -114 ( 114 ) ; the non-operating income ( expense ) gaap basis of 2010 is $ 23 ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of 2012 is -36 ( 36 ) ; the non-operating income ( expense ) ( 1 ) of 2011 is -116 ( 116 ) ; the non-operating income ( expense ) ( 1 ) of 2010 is 36 ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2012 is $ -42 ( 42 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2011 is $ -113 ( 113 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of 2010 is $ 25 ;"]]}, "answers": ["80"]}, "rejected_source": {"id": "BLK/2010/page_46.pdf-3", "qa": {"question": "what is the net change in non-operating income from 2009 to 2010?", "answer": "64", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "36", "arg2": "-28", "res": "64"}], "program": "subtract(36, -28)", "gold_inds": {"table_3": "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"}, "exe_ans": 64.0, "tfidftopn": {"table_5": "( dollar amounts in millions ) The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; The non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;", "text_23": "( b ) non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests , as adjusted : non-operating income ( expense ) , less net income ( loss ) attributable to non-controlling interests ( 201cnci 201d ) , as adjusted , equals non-operating income ( expense ) , gaap basis , less net income ( loss ) attributable to nci , gaap basis , adjusted for compensation expense associated with depreciation/ ( appreciation ) on investments related to certain blackrock deferred compensation plans ."}, "program_re": "subtract(36, -28)", "model_input": [["table_1", "( dollar amounts in millions ) the non-operating income ( expense ) gaap basis of yearended december 31 , 2010 is $ 23 ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2009 is $ -6 ( 6 ) ; the non-operating income ( expense ) gaap basis of yearended december 31 , 2008 is $ -577 ( 577 ) ;"], ["table_3", "( dollar amounts in millions ) the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2010 is 36 ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2009 is -28 ( 28 ) ; the non-operating income ( expense ) ( 1 ) of yearended december 31 , 2008 is -422 ( 422 ) ;"], ["table_5", "( dollar amounts in millions ) the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2010 is $ 25 ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2009 is $ -46 ( 46 ) ; the non-operating income ( expense ) less net income ( loss ) attributable to nci as adjusted of yearended december 31 , 2008 is $ -384 ( 384 ) ;"]]}, "answers": ["64"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001385", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of interest payments from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-12.", "rejected": "-27.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the change in millions of interest payments <TIME>?", "doc_prefix": "PPG", "base_question": "what was the change in millions of interest payments <TIME>?", "original_question": "what was the change in millions of interest payments from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-27": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "-12": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "PPG/2010/page_45.pdf-3", "qa": {"question": "what was the change in millions of interest payments from 2009 to 2010?", "answer": "-12", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus2-1", "arg1": "189", "arg2": "201", "res": "-12"}], "program": "subtract(189, 201)", "gold_inds": {"text_26": "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."}, "exe_ans": -12.0, "tfidftopn": {"table_3": "( millions ) The total of 2010 is $ 24 ; The total of 2009 is $ 268 ;", "text_17": "short-term debt outstanding as of december 31 , 2010 and 2009 , was as follows : ( millions ) 2010 2009 20ac650 million revolving credit facility , 0.8% ( 0.8 % ) as of dec ."}, "program_re": "subtract(189, 201)", "model_input": [["text_26", "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."], ["table_3", "( millions ) the total of 2010 is $ 24 ; the total of 2009 is $ 268 ;"], ["text_54", "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."]]}, "answers": ["-12"]}, "rejected_source": {"id": "PPG/2010/page_45.pdf-1", "qa": {"question": "what was the change in millions of interest payments from 2008 to 2009?", "answer": "-27", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus1-1", "arg1": "201", "arg2": "228", "res": "-27"}], "program": "subtract(201, 228)", "gold_inds": {"text_26": "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."}, "exe_ans": -27.0, "tfidftopn": {"text_54": "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively .", "table_3": "( millions ) The total of 2010 is $ 24 ; The total of 2009 is $ 268 ;"}, "program_re": "subtract(201, 228)", "model_input": [["text_26", "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."], ["table_3", "( millions ) the total of 2010 is $ 24 ; the total of 2009 is $ 268 ;"], ["text_54", "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."]]}, "answers": ["-27"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001386", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of interest payments from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-27.", "rejected": "-12.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the change in millions of interest payments <TIME>?", "doc_prefix": "PPG", "base_question": "what was the change in millions of interest payments <TIME>?", "original_question": "what was the change in millions of interest payments from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-27": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "-12": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "PPG/2010/page_45.pdf-1", "qa": {"question": "what was the change in millions of interest payments from 2008 to 2009?", "answer": "-27", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus1-1", "arg1": "201", "arg2": "228", "res": "-27"}], "program": "subtract(201, 228)", "gold_inds": {"text_26": "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."}, "exe_ans": -27.0, "tfidftopn": {"text_54": "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively .", "table_3": "( millions ) The total of 2010 is $ 24 ; The total of 2009 is $ 268 ;"}, "program_re": "subtract(201, 228)", "model_input": [["text_26", "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."], ["table_3", "( millions ) the total of 2010 is $ 24 ; the total of 2009 is $ 268 ;"], ["text_54", "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."]]}, "answers": ["-27"]}, "rejected_source": {"id": "PPG/2010/page_45.pdf-3", "qa": {"question": "what was the change in millions of interest payments from 2009 to 2010?", "answer": "-12", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus2-1", "arg1": "189", "arg2": "201", "res": "-12"}], "program": "subtract(189, 201)", "gold_inds": {"text_26": "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."}, "exe_ans": -12.0, "tfidftopn": {"table_3": "( millions ) The total of 2010 is $ 24 ; The total of 2009 is $ 268 ;", "text_17": "short-term debt outstanding as of december 31 , 2010 and 2009 , was as follows : ( millions ) 2010 2009 20ac650 million revolving credit facility , 0.8% ( 0.8 % ) as of dec ."}, "program_re": "subtract(189, 201)", "model_input": [["text_26", "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."], ["table_3", "( millions ) the total of 2010 is $ 24 ; the total of 2009 is $ 268 ;"], ["text_54", "interest payments in 2010 , 2009 and 2008 totaled $ 189 million , $ 201 million and $ 228 million , respectively ."]]}, "answers": ["-12"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001387", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total expense for repairs and maintenance from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-5%.", "rejected": "10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in total expense for repairs and maintenance <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in total expense for repairs and maintenance <TIME>?", "original_question": "what was the percentage change in total expense for repairs and maintenance from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UNP/2013/page_73.pdf-3", "qa": {"question": "what was the percentage change in total expense for repairs and maintenance from 2011 to 2012?", "answer": "-5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus2-1", "arg1": "2.1", "arg2": "2.2", "res": "-.1"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2.2", "res": "-5%"}], "program": "subtract(2.1, 2.2), divide(#0, 2.2)", "gold_inds": {"text_19": "total expense for repairs and maintenance incurred was $ 2.3 billion for 2013 , $ 2.1 billion for 2012 , and $ 2.2 billion for 2011 ."}, "exe_ans": -0.04545, "tfidftopn": {"text_25": "31 , millions 2013 2012 .", "text_17": "normal repairs and maintenance are also expensed as incurred , while costs incurred that extend the useful life of an asset , improve the safety of our operations or improve operating efficiency are capitalized ."}, "program_re": "divide(subtract(2.1, 2.2), 2.2)", "model_input": [["text_19", "total expense for repairs and maintenance incurred was $ 2.3 billion for 2013 , $ 2.1 billion for 2012 , and $ 2.2 billion for 2011 ."], ["text_25", "31 , millions 2013 2012 ."], ["table_9", "millions the total accounts payable and othercurrent liabilities of dec . 31 2013 is $ 3086 ; the total accounts payable and othercurrent liabilities of dec . 312012 is $ 2923 ;"]]}, "answers": ["-5%"]}, "rejected_source": {"id": "UNP/2013/page_73.pdf-4", "qa": {"question": "what was the percentage change in total expense for repairs and maintenance from 2012 to 2013?", "answer": "10%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "2.3", "arg2": "2.1", "res": ".2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2.1", "res": "10%"}], "program": "subtract(2.3, 2.1), divide(#0, 2.1)", "gold_inds": {"text_19": "total expense for repairs and maintenance incurred was $ 2.3 billion for 2013 , $ 2.1 billion for 2012 , and $ 2.2 billion for 2011 ."}, "exe_ans": 0.09524, "tfidftopn": {"text_25": "31 , millions 2013 2012 .", "table_9": "millions The total accounts payable and othercurrent liabilities of dec . 31 2013 is $ 3086 ; The total accounts payable and othercurrent liabilities of dec . 312012 is $ 2923 ;"}, "program_re": "divide(subtract(2.3, 2.1), 2.1)", "model_input": [["text_19", "total expense for repairs and maintenance incurred was $ 2.3 billion for 2013 , $ 2.1 billion for 2012 , and $ 2.2 billion for 2011 ."], ["text_25", "31 , millions 2013 2012 ."], ["table_9", "millions the total accounts payable and othercurrent liabilities of dec . 31 2013 is $ 3086 ; the total accounts payable and othercurrent liabilities of dec . 312012 is $ 2923 ;"]]}, "answers": ["10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001388", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total expense for repairs and maintenance from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "10%.", "rejected": "-5%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in total expense for repairs and maintenance <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in total expense for repairs and maintenance <TIME>?", "original_question": "what was the percentage change in total expense for repairs and maintenance from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-5%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "10%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UNP/2013/page_73.pdf-4", "qa": {"question": "what was the percentage change in total expense for repairs and maintenance from 2012 to 2013?", "answer": "10%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus1-1", "arg1": "2.3", "arg2": "2.1", "res": ".2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2.1", "res": "10%"}], "program": "subtract(2.3, 2.1), divide(#0, 2.1)", "gold_inds": {"text_19": "total expense for repairs and maintenance incurred was $ 2.3 billion for 2013 , $ 2.1 billion for 2012 , and $ 2.2 billion for 2011 ."}, "exe_ans": 0.09524, "tfidftopn": {"text_25": "31 , millions 2013 2012 .", "table_9": "millions The total accounts payable and othercurrent liabilities of dec . 31 2013 is $ 3086 ; The total accounts payable and othercurrent liabilities of dec . 312012 is $ 2923 ;"}, "program_re": "divide(subtract(2.3, 2.1), 2.1)", "model_input": [["text_19", "total expense for repairs and maintenance incurred was $ 2.3 billion for 2013 , $ 2.1 billion for 2012 , and $ 2.2 billion for 2011 ."], ["text_25", "31 , millions 2013 2012 ."], ["table_9", "millions the total accounts payable and othercurrent liabilities of dec . 31 2013 is $ 3086 ; the total accounts payable and othercurrent liabilities of dec . 312012 is $ 2923 ;"]]}, "answers": ["10%"]}, "rejected_source": {"id": "UNP/2013/page_73.pdf-3", "qa": {"question": "what was the percentage change in total expense for repairs and maintenance from 2011 to 2012?", "answer": "-5%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [19], "steps": [{"op": "minus2-1", "arg1": "2.1", "arg2": "2.2", "res": "-.1"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2.2", "res": "-5%"}], "program": "subtract(2.1, 2.2), divide(#0, 2.2)", "gold_inds": {"text_19": "total expense for repairs and maintenance incurred was $ 2.3 billion for 2013 , $ 2.1 billion for 2012 , and $ 2.2 billion for 2011 ."}, "exe_ans": -0.04545, "tfidftopn": {"text_25": "31 , millions 2013 2012 .", "text_17": "normal repairs and maintenance are also expensed as incurred , while costs incurred that extend the useful life of an asset , improve the safety of our operations or improve operating efficiency are capitalized ."}, "program_re": "divide(subtract(2.1, 2.2), 2.2)", "model_input": [["text_19", "total expense for repairs and maintenance incurred was $ 2.3 billion for 2013 , $ 2.1 billion for 2012 , and $ 2.2 billion for 2011 ."], ["text_25", "31 , millions 2013 2012 ."], ["table_9", "millions the total accounts payable and othercurrent liabilities of dec . 31 2013 is $ 3086 ; the total accounts payable and othercurrent liabilities of dec . 312012 is $ 2923 ;"]]}, "answers": ["-5%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001389", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2013\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "4.7%.", "rejected": "6.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2013", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2015/page_46.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2013", "answer": "4.7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "161", "arg2": "3435", "res": "4.7%"}], "program": "divide(161, 3435)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;", "table_2": "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"}, "exe_ans": 0.04687, "tfidftopn": {"text_1": "consumer packaging ."}, "program_re": "divide(161, 3435)", "model_input": [["table_1", "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"], ["text_20", "european consumer packaging net sales in 2015 were $ 319 million compared with $ 365 million in 2014 and $ 380 million in 2013 ."]]}, "answers": ["4.7%"]}, "rejected_source": {"id": "IP/2007/page_32.pdf-1", "qa": {"question": "what was the consumer packaging profit margin in 2006", "answer": "6.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "172", "arg2": "2685", "res": "6.4%"}], "program": "divide(172, 2685)", "gold_inds": {"table_1": "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;", "table_2": "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"}, "exe_ans": 0.06406, "tfidftopn": {"text_9": "consumer packaging in millions 2007 2006 2005 ."}, "program_re": "divide(172, 2685)", "model_input": [["table_1", "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;"], ["table_2", "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"], ["text_28", "european consumer packaging net sales in 2007 were $ 280 million compared with $ 230 million in 2006 and $ 190 million in 2005 ."]]}, "answers": ["6.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001390", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2013\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "4.7%.", "rejected": "7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2013", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2015/page_46.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2013", "answer": "4.7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "161", "arg2": "3435", "res": "4.7%"}], "program": "divide(161, 3435)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;", "table_2": "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"}, "exe_ans": 0.04687, "tfidftopn": {"text_1": "consumer packaging ."}, "program_re": "divide(161, 3435)", "model_input": [["table_1", "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"], ["text_20", "european consumer packaging net sales in 2015 were $ 319 million compared with $ 365 million in 2014 and $ 380 million in 2013 ."]]}, "answers": ["4.7%"]}, "rejected_source": {"id": "IP/2005/page_29.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2003", "answer": "7.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "183", "arg2": "2465", "res": "7.4%"}], "program": "divide(183, 2465)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;", "table_2": "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"}, "exe_ans": 0.07424, "tfidftopn": {"text_11": "consumer packaging in millions 2005 2004 2003 ."}, "program_re": "divide(183, 2465)", "model_input": [["text_11", "consumer packaging in millions 2005 2004 2003 ."], ["table_1", "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;"], ["table_2", "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"]]}, "answers": ["7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001391", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2013\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "4.7%.", "rejected": "8.45%\\\\n.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2013", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2015/page_46.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2013", "answer": "4.7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "161", "arg2": "3435", "res": "4.7%"}], "program": "divide(161, 3435)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;", "table_2": "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"}, "exe_ans": 0.04687, "tfidftopn": {"text_1": "consumer packaging ."}, "program_re": "divide(161, 3435)", "model_input": [["table_1", "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"], ["text_20", "european consumer packaging net sales in 2015 were $ 319 million compared with $ 365 million in 2014 and $ 380 million in 2013 ."]]}, "answers": ["4.7%"]}, "rejected_source": {"id": "IP/2014/page_66.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2012", "answer": "8.45%\\\\n", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "268", "arg2": "3170", "res": "8.45%"}], "program": "divide(268, 3170)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;", "table_2": "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"}, "exe_ans": 0.08454, "tfidftopn": {"text_38": "consumer packaging ."}, "program_re": "divide(268, 3170)", "model_input": [["table_1", "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;"], ["table_2", "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"], ["text_40", "operating profits were $ 92 million ( $ 100 million excluding sheet plant closure costs ) in 2014 compared with $ 63 million ( $ 110 million excluding paper machine shutdown costs and costs related to the sale of the shorewood business ) in 2013 and $ 165 million ( $ 162 million excluding a gain associated with the sale of the shorewood business in 2012 ) ."]]}, "answers": ["8.45%\\\\n"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001392", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2006\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "6.4%.", "rejected": "4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2006", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2007/page_32.pdf-1", "qa": {"question": "what was the consumer packaging profit margin in 2006", "answer": "6.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "172", "arg2": "2685", "res": "6.4%"}], "program": "divide(172, 2685)", "gold_inds": {"table_1": "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;", "table_2": "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"}, "exe_ans": 0.06406, "tfidftopn": {"text_9": "consumer packaging in millions 2007 2006 2005 ."}, "program_re": "divide(172, 2685)", "model_input": [["table_1", "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;"], ["table_2", "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"], ["text_28", "european consumer packaging net sales in 2007 were $ 280 million compared with $ 230 million in 2006 and $ 190 million in 2005 ."]]}, "answers": ["6.4%"]}, "rejected_source": {"id": "IP/2015/page_46.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2013", "answer": "4.7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "161", "arg2": "3435", "res": "4.7%"}], "program": "divide(161, 3435)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;", "table_2": "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"}, "exe_ans": 0.04687, "tfidftopn": {"text_1": "consumer packaging ."}, "program_re": "divide(161, 3435)", "model_input": [["table_1", "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"], ["text_20", "european consumer packaging net sales in 2015 were $ 319 million compared with $ 365 million in 2014 and $ 380 million in 2013 ."]]}, "answers": ["4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001393", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2006\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "6.4%.", "rejected": "7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2006", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2007/page_32.pdf-1", "qa": {"question": "what was the consumer packaging profit margin in 2006", "answer": "6.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "172", "arg2": "2685", "res": "6.4%"}], "program": "divide(172, 2685)", "gold_inds": {"table_1": "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;", "table_2": "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"}, "exe_ans": 0.06406, "tfidftopn": {"text_9": "consumer packaging in millions 2007 2006 2005 ."}, "program_re": "divide(172, 2685)", "model_input": [["table_1", "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;"], ["table_2", "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"], ["text_28", "european consumer packaging net sales in 2007 were $ 280 million compared with $ 230 million in 2006 and $ 190 million in 2005 ."]]}, "answers": ["6.4%"]}, "rejected_source": {"id": "IP/2005/page_29.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2003", "answer": "7.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "183", "arg2": "2465", "res": "7.4%"}], "program": "divide(183, 2465)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;", "table_2": "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"}, "exe_ans": 0.07424, "tfidftopn": {"text_11": "consumer packaging in millions 2005 2004 2003 ."}, "program_re": "divide(183, 2465)", "model_input": [["text_11", "consumer packaging in millions 2005 2004 2003 ."], ["table_1", "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;"], ["table_2", "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"]]}, "answers": ["7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001394", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2006\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "6.4%.", "rejected": "8.45%\\\\n.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2006", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2007/page_32.pdf-1", "qa": {"question": "what was the consumer packaging profit margin in 2006", "answer": "6.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "172", "arg2": "2685", "res": "6.4%"}], "program": "divide(172, 2685)", "gold_inds": {"table_1": "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;", "table_2": "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"}, "exe_ans": 0.06406, "tfidftopn": {"text_9": "consumer packaging in millions 2007 2006 2005 ."}, "program_re": "divide(172, 2685)", "model_input": [["table_1", "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;"], ["table_2", "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"], ["text_28", "european consumer packaging net sales in 2007 were $ 280 million compared with $ 230 million in 2006 and $ 190 million in 2005 ."]]}, "answers": ["6.4%"]}, "rejected_source": {"id": "IP/2014/page_66.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2012", "answer": "8.45%\\\\n", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "268", "arg2": "3170", "res": "8.45%"}], "program": "divide(268, 3170)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;", "table_2": "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"}, "exe_ans": 0.08454, "tfidftopn": {"text_38": "consumer packaging ."}, "program_re": "divide(268, 3170)", "model_input": [["table_1", "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;"], ["table_2", "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"], ["text_40", "operating profits were $ 92 million ( $ 100 million excluding sheet plant closure costs ) in 2014 compared with $ 63 million ( $ 110 million excluding paper machine shutdown costs and costs related to the sale of the shorewood business ) in 2013 and $ 165 million ( $ 162 million excluding a gain associated with the sale of the shorewood business in 2012 ) ."]]}, "answers": ["8.45%\\\\n"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001395", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2003\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "7.4%.", "rejected": "4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2003", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2005/page_29.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2003", "answer": "7.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "183", "arg2": "2465", "res": "7.4%"}], "program": "divide(183, 2465)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;", "table_2": "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"}, "exe_ans": 0.07424, "tfidftopn": {"text_11": "consumer packaging in millions 2005 2004 2003 ."}, "program_re": "divide(183, 2465)", "model_input": [["text_11", "consumer packaging in millions 2005 2004 2003 ."], ["table_1", "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;"], ["table_2", "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"]]}, "answers": ["7.4%"]}, "rejected_source": {"id": "IP/2015/page_46.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2013", "answer": "4.7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "161", "arg2": "3435", "res": "4.7%"}], "program": "divide(161, 3435)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;", "table_2": "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"}, "exe_ans": 0.04687, "tfidftopn": {"text_1": "consumer packaging ."}, "program_re": "divide(161, 3435)", "model_input": [["table_1", "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"], ["text_20", "european consumer packaging net sales in 2015 were $ 319 million compared with $ 365 million in 2014 and $ 380 million in 2013 ."]]}, "answers": ["4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001396", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2003\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "7.4%.", "rejected": "6.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2003", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2005/page_29.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2003", "answer": "7.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "183", "arg2": "2465", "res": "7.4%"}], "program": "divide(183, 2465)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;", "table_2": "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"}, "exe_ans": 0.07424, "tfidftopn": {"text_11": "consumer packaging in millions 2005 2004 2003 ."}, "program_re": "divide(183, 2465)", "model_input": [["text_11", "consumer packaging in millions 2005 2004 2003 ."], ["table_1", "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;"], ["table_2", "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"]]}, "answers": ["7.4%"]}, "rejected_source": {"id": "IP/2007/page_32.pdf-1", "qa": {"question": "what was the consumer packaging profit margin in 2006", "answer": "6.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "172", "arg2": "2685", "res": "6.4%"}], "program": "divide(172, 2685)", "gold_inds": {"table_1": "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;", "table_2": "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"}, "exe_ans": 0.06406, "tfidftopn": {"text_9": "consumer packaging in millions 2007 2006 2005 ."}, "program_re": "divide(172, 2685)", "model_input": [["table_1", "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;"], ["table_2", "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"], ["text_28", "european consumer packaging net sales in 2007 were $ 280 million compared with $ 230 million in 2006 and $ 190 million in 2005 ."]]}, "answers": ["6.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001397", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2003\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "7.4%.", "rejected": "8.45%\\\\n.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2003", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2005/page_29.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2003", "answer": "7.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "183", "arg2": "2465", "res": "7.4%"}], "program": "divide(183, 2465)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;", "table_2": "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"}, "exe_ans": 0.07424, "tfidftopn": {"text_11": "consumer packaging in millions 2005 2004 2003 ."}, "program_re": "divide(183, 2465)", "model_input": [["text_11", "consumer packaging in millions 2005 2004 2003 ."], ["table_1", "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;"], ["table_2", "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"]]}, "answers": ["7.4%"]}, "rejected_source": {"id": "IP/2014/page_66.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2012", "answer": "8.45%\\\\n", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "268", "arg2": "3170", "res": "8.45%"}], "program": "divide(268, 3170)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;", "table_2": "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"}, "exe_ans": 0.08454, "tfidftopn": {"text_38": "consumer packaging ."}, "program_re": "divide(268, 3170)", "model_input": [["table_1", "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;"], ["table_2", "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"], ["text_40", "operating profits were $ 92 million ( $ 100 million excluding sheet plant closure costs ) in 2014 compared with $ 63 million ( $ 110 million excluding paper machine shutdown costs and costs related to the sale of the shorewood business ) in 2013 and $ 165 million ( $ 162 million excluding a gain associated with the sale of the shorewood business in 2012 ) ."]]}, "answers": ["8.45%\\\\n"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001398", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2012\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "8.45%\\\\n.", "rejected": "4.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2012", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2014/page_66.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2012", "answer": "8.45%\\\\n", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "268", "arg2": "3170", "res": "8.45%"}], "program": "divide(268, 3170)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;", "table_2": "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"}, "exe_ans": 0.08454, "tfidftopn": {"text_38": "consumer packaging ."}, "program_re": "divide(268, 3170)", "model_input": [["table_1", "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;"], ["table_2", "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"], ["text_40", "operating profits were $ 92 million ( $ 100 million excluding sheet plant closure costs ) in 2014 compared with $ 63 million ( $ 110 million excluding paper machine shutdown costs and costs related to the sale of the shorewood business ) in 2013 and $ 165 million ( $ 162 million excluding a gain associated with the sale of the shorewood business in 2012 ) ."]]}, "answers": ["8.45%\\\\n"]}, "rejected_source": {"id": "IP/2015/page_46.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2013", "answer": "4.7%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "161", "arg2": "3435", "res": "4.7%"}], "program": "divide(161, 3435)", "gold_inds": {"table_1": "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;", "table_2": "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"}, "exe_ans": 0.04687, "tfidftopn": {"text_1": "consumer packaging ."}, "program_re": "divide(161, 3435)", "model_input": [["table_1", "in millions the sales of 2015 is $ 2940 ; the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ;"], ["table_2", "in millions the operating profit ( loss ) of 2015 is -25 ( 25 ) ; the operating profit ( loss ) of 2014 is 178 ; the operating profit ( loss ) of 2013 is 161 ;"], ["text_20", "european consumer packaging net sales in 2015 were $ 319 million compared with $ 365 million in 2014 and $ 380 million in 2013 ."]]}, "answers": ["4.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001399", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2012\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "8.45%\\\\n.", "rejected": "6.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2012", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2014/page_66.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2012", "answer": "8.45%\\\\n", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "268", "arg2": "3170", "res": "8.45%"}], "program": "divide(268, 3170)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;", "table_2": "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"}, "exe_ans": 0.08454, "tfidftopn": {"text_38": "consumer packaging ."}, "program_re": "divide(268, 3170)", "model_input": [["table_1", "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;"], ["table_2", "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"], ["text_40", "operating profits were $ 92 million ( $ 100 million excluding sheet plant closure costs ) in 2014 compared with $ 63 million ( $ 110 million excluding paper machine shutdown costs and costs related to the sale of the shorewood business ) in 2013 and $ 165 million ( $ 162 million excluding a gain associated with the sale of the shorewood business in 2012 ) ."]]}, "answers": ["8.45%\\\\n"]}, "rejected_source": {"id": "IP/2007/page_32.pdf-1", "qa": {"question": "what was the consumer packaging profit margin in 2006", "answer": "6.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "172", "arg2": "2685", "res": "6.4%"}], "program": "divide(172, 2685)", "gold_inds": {"table_1": "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;", "table_2": "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"}, "exe_ans": 0.06406, "tfidftopn": {"text_9": "consumer packaging in millions 2007 2006 2005 ."}, "program_re": "divide(172, 2685)", "model_input": [["table_1", "in millions the sales of 2007 is $ 3015 ; the sales of 2006 is $ 2685 ; the sales of 2005 is $ 2435 ;"], ["table_2", "in millions the operating profit of 2007 is $ 198 ; the operating profit of 2006 is $ 172 ; the operating profit of 2005 is $ 160 ;"], ["text_28", "european consumer packaging net sales in 2007 were $ 280 million compared with $ 230 million in 2006 and $ 190 million in 2005 ."]]}, "answers": ["6.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001400", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the consumer packaging profit margin in 2012\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "8.45%\\\\n.", "rejected": "7.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the consumer packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the consumer packaging profit margin <TIME>", "original_question": "what was the consumer packaging profit margin in 2012", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "6.4%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "8.45%\\\\n": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "4.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2014/page_66.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2012", "answer": "8.45%\\\\n", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "268", "arg2": "3170", "res": "8.45%"}], "program": "divide(268, 3170)", "gold_inds": {"table_1": "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;", "table_2": "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"}, "exe_ans": 0.08454, "tfidftopn": {"text_38": "consumer packaging ."}, "program_re": "divide(268, 3170)", "model_input": [["table_1", "in millions the sales of 2014 is $ 3403 ; the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ;"], ["table_2", "in millions the operating profit of 2014 is 178 ; the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ;"], ["text_40", "operating profits were $ 92 million ( $ 100 million excluding sheet plant closure costs ) in 2014 compared with $ 63 million ( $ 110 million excluding paper machine shutdown costs and costs related to the sale of the shorewood business ) in 2013 and $ 165 million ( $ 162 million excluding a gain associated with the sale of the shorewood business in 2012 ) ."]]}, "answers": ["8.45%\\\\n"]}, "rejected_source": {"id": "IP/2005/page_29.pdf-3", "qa": {"question": "what was the consumer packaging profit margin in 2003", "answer": "7.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "183", "arg2": "2465", "res": "7.4%"}], "program": "divide(183, 2465)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;", "table_2": "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"}, "exe_ans": 0.07424, "tfidftopn": {"text_11": "consumer packaging in millions 2005 2004 2003 ."}, "program_re": "divide(183, 2465)", "model_input": [["text_11", "consumer packaging in millions 2005 2004 2003 ."], ["table_1", "in millions the sales of 2005 is $ 2590 ; the sales of 2004 is $ 2605 ; the sales of 2003 is $ 2465 ;"], ["table_2", "in millions the operating profit of 2005 is $ 126 ; the operating profit of 2004 is $ 161 ; the operating profit of 2003 is $ 183 ;"]]}, "answers": ["7.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001401", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the estimated growth rate in net periodic pension cost from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "14.1%.", "rejected": "24.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what is the estimated growth rate in net periodic pension cost <TIME>?", "doc_prefix": "UNP", "base_question": "what is the estimated growth rate in net periodic pension cost <TIME>?", "original_question": "what is the estimated growth rate in net periodic pension cost from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14.1%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "24.7%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UNP/2012/page_47.pdf-2", "qa": {"question": "what is the estimated growth rate in net periodic pension cost from 2011 to 2012?", "answer": "14.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "89", "arg2": "78", "res": "11"}, {"op": "divide2-2", "arg1": "#0", "arg2": "78", "res": "14.1%"}], "program": "subtract(89, 78), divide(#0, 78)", "gold_inds": {"table_1": "millions the net periodic pension cost of est.2013 is $ 111 ; the net periodic pension cost of 2012 is $ 89 ; the net periodic pension cost of 2011 is $ 78 ; the net periodic pension cost of 2010 is $ 51 ;"}, "exe_ans": 0.14103, "tfidftopn": {"table_2": "millions The net periodic opeb cost/ ( benefit ) of est.2013 is 15 ; The net periodic opeb cost/ ( benefit ) of 2012 is 13 ; The net periodic opeb cost/ ( benefit ) of 2011 is -6 ( 6 ) ; The net periodic opeb cost/ ( benefit ) of 2010 is -14 ( 14 ) ;", "text_0": "the following table presents the net periodic pension and opeb cost/ ( benefit ) for the years ended december 31 : millions 2013 2012 2011 2010 ."}, "program_re": "divide(subtract(89, 78), 78)", "model_input": [["table_1", "millions the net periodic pension cost of est.2013 is $ 111 ; the net periodic pension cost of 2012 is $ 89 ; the net periodic pension cost of 2011 is $ 78 ; the net periodic pension cost of 2010 is $ 51 ;"], ["table_2", "millions the net periodic opeb cost/ ( benefit ) of est.2013 is 15 ; the net periodic opeb cost/ ( benefit ) of 2012 is 13 ; the net periodic opeb cost/ ( benefit ) of 2011 is -6 ( 6 ) ; the net periodic opeb cost/ ( benefit ) of 2010 is -14 ( 14 ) ;"], ["text_1", "our net periodic pension cost is expected to increase to approximately $ 111 million in 2013 from $ 89 million in 2012 ."]]}, "answers": ["14.1%"]}, "rejected_source": {"id": "UNP/2012/page_47.pdf-3", "qa": {"question": "what is the estimated growth rate in net periodic pension cost from 2012 to 2013?", "answer": "24.7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "111", "arg2": "89", "res": "22"}, {"op": "divide1-2", "arg1": "#0", "arg2": "89", "res": "24.7%"}], "program": "subtract(111, 89), divide(#0, 89)", "gold_inds": {"table_1": "millions the net periodic pension cost of est.2013 is $ 111 ; the net periodic pension cost of 2012 is $ 89 ; the net periodic pension cost of 2011 is $ 78 ; the net periodic pension cost of 2010 is $ 51 ;"}, "exe_ans": 0.24719, "tfidftopn": {"text_1": "our net periodic pension cost is expected to increase to approximately $ 111 million in 2013 from $ 89 million in 2012 .", "table_2": "millions The net periodic opeb cost/ ( benefit ) of est.2013 is 15 ; The net periodic opeb cost/ ( benefit ) of 2012 is 13 ; The net periodic opeb cost/ ( benefit ) of 2011 is -6 ( 6 ) ; The net periodic opeb cost/ ( benefit ) of 2010 is -14 ( 14 ) ;"}, "program_re": "divide(subtract(111, 89), 89)", "model_input": [["table_1", "millions the net periodic pension cost of est.2013 is $ 111 ; the net periodic pension cost of 2012 is $ 89 ; the net periodic pension cost of 2011 is $ 78 ; the net periodic pension cost of 2010 is $ 51 ;"], ["table_2", "millions the net periodic opeb cost/ ( benefit ) of est.2013 is 15 ; the net periodic opeb cost/ ( benefit ) of 2012 is 13 ; the net periodic opeb cost/ ( benefit ) of 2011 is -6 ( 6 ) ; the net periodic opeb cost/ ( benefit ) of 2010 is -14 ( 14 ) ;"], ["text_1", "our net periodic pension cost is expected to increase to approximately $ 111 million in 2013 from $ 89 million in 2012 ."]]}, "answers": ["24.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001402", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the estimated growth rate in net periodic pension cost from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "24.7%.", "rejected": "14.1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what is the estimated growth rate in net periodic pension cost <TIME>?", "doc_prefix": "UNP", "base_question": "what is the estimated growth rate in net periodic pension cost <TIME>?", "original_question": "what is the estimated growth rate in net periodic pension cost from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"14.1%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "24.7%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UNP/2012/page_47.pdf-3", "qa": {"question": "what is the estimated growth rate in net periodic pension cost from 2012 to 2013?", "answer": "24.7%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "111", "arg2": "89", "res": "22"}, {"op": "divide1-2", "arg1": "#0", "arg2": "89", "res": "24.7%"}], "program": "subtract(111, 89), divide(#0, 89)", "gold_inds": {"table_1": "millions the net periodic pension cost of est.2013 is $ 111 ; the net periodic pension cost of 2012 is $ 89 ; the net periodic pension cost of 2011 is $ 78 ; the net periodic pension cost of 2010 is $ 51 ;"}, "exe_ans": 0.24719, "tfidftopn": {"text_1": "our net periodic pension cost is expected to increase to approximately $ 111 million in 2013 from $ 89 million in 2012 .", "table_2": "millions The net periodic opeb cost/ ( benefit ) of est.2013 is 15 ; The net periodic opeb cost/ ( benefit ) of 2012 is 13 ; The net periodic opeb cost/ ( benefit ) of 2011 is -6 ( 6 ) ; The net periodic opeb cost/ ( benefit ) of 2010 is -14 ( 14 ) ;"}, "program_re": "divide(subtract(111, 89), 89)", "model_input": [["table_1", "millions the net periodic pension cost of est.2013 is $ 111 ; the net periodic pension cost of 2012 is $ 89 ; the net periodic pension cost of 2011 is $ 78 ; the net periodic pension cost of 2010 is $ 51 ;"], ["table_2", "millions the net periodic opeb cost/ ( benefit ) of est.2013 is 15 ; the net periodic opeb cost/ ( benefit ) of 2012 is 13 ; the net periodic opeb cost/ ( benefit ) of 2011 is -6 ( 6 ) ; the net periodic opeb cost/ ( benefit ) of 2010 is -14 ( 14 ) ;"], ["text_1", "our net periodic pension cost is expected to increase to approximately $ 111 million in 2013 from $ 89 million in 2012 ."]]}, "answers": ["24.7%"]}, "rejected_source": {"id": "UNP/2012/page_47.pdf-2", "qa": {"question": "what is the estimated growth rate in net periodic pension cost from 2011 to 2012?", "answer": "14.1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "89", "arg2": "78", "res": "11"}, {"op": "divide2-2", "arg1": "#0", "arg2": "78", "res": "14.1%"}], "program": "subtract(89, 78), divide(#0, 78)", "gold_inds": {"table_1": "millions the net periodic pension cost of est.2013 is $ 111 ; the net periodic pension cost of 2012 is $ 89 ; the net periodic pension cost of 2011 is $ 78 ; the net periodic pension cost of 2010 is $ 51 ;"}, "exe_ans": 0.14103, "tfidftopn": {"table_2": "millions The net periodic opeb cost/ ( benefit ) of est.2013 is 15 ; The net periodic opeb cost/ ( benefit ) of 2012 is 13 ; The net periodic opeb cost/ ( benefit ) of 2011 is -6 ( 6 ) ; The net periodic opeb cost/ ( benefit ) of 2010 is -14 ( 14 ) ;", "text_0": "the following table presents the net periodic pension and opeb cost/ ( benefit ) for the years ended december 31 : millions 2013 2012 2011 2010 ."}, "program_re": "divide(subtract(89, 78), 78)", "model_input": [["table_1", "millions the net periodic pension cost of est.2013 is $ 111 ; the net periodic pension cost of 2012 is $ 89 ; the net periodic pension cost of 2011 is $ 78 ; the net periodic pension cost of 2010 is $ 51 ;"], ["table_2", "millions the net periodic opeb cost/ ( benefit ) of est.2013 is 15 ; the net periodic opeb cost/ ( benefit ) of 2012 is 13 ; the net periodic opeb cost/ ( benefit ) of 2011 is -6 ( 6 ) ; the net periodic opeb cost/ ( benefit ) of 2010 is -14 ( 14 ) ;"], ["text_1", "our net periodic pension cost is expected to increase to approximately $ 111 million in 2013 from $ 89 million in 2012 ."]]}, "answers": ["14.1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001403", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the printing papers profit margin in 2011\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "4.4%.", "rejected": "6.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the printing papers profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the printing papers profit margin <TIME>", "original_question": "what was the printing papers profit margin in 2011", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "4.4%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "IP/2013/page_64.pdf-3", "qa": {"question": "what was the printing papers profit margin in 2011", "answer": "4.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "163", "arg2": "3710", "res": "4.4%"}], "program": "divide(163, 3710)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;", "table_2": "in millions the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ; the operating profit of 2011 is 163 ;"}, "exe_ans": 0.04394, "tfidftopn": {"text_14": "net sales and operating profits include the shorewood business in 2011 ."}, "program_re": "divide(163, 3710)", "model_input": [["table_1", "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;"], ["table_2", "in millions the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ; the operating profit of 2011 is 163 ;"], ["text_21", "operating profits were $ 63 million ( $ 110 million excluding paper machine shutdown costs and costs related to the sale of the shorewood business ) in 2013 compared with $ 165 million ( $ 162 million excluding charges associated with the sale of the shorewood business ) in 2012 and $ 35 million ( $ 236 million excluding asset impairment charges and other costs associated with the sale of the shorewood business ) in 2011 ."]]}, "answers": ["4.4%"]}, "rejected_source": {"id": "IP/2005/page_27.pdf-4", "qa": {"question": "what was the printing papers profit margin in 2003", "answer": "6.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "464", "arg2": "7280", "res": "6.4%"}], "program": "divide(464, 7280)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;", "table_2": "in millions the operating profit of 2005 is $ 552 ; the operating profit of 2004 is $ 581 ; the operating profit of 2003 is $ 464 ;"}, "exe_ans": 0.06374, "tfidftopn": {"text_7": "printing papers in millions 2005 2004 2003 ."}, "program_re": "divide(464, 7280)", "model_input": [["text_5", "the printing papers segment took 995000 tons of downtime in 2005 , including 540000 tons of lack-of-order down- time to align production with customer demand ."], ["table_1", "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;"], ["table_2", "in millions the operating profit of 2005 is $ 552 ; the operating profit of 2004 is $ 581 ; the operating profit of 2003 is $ 464 ;"]]}, "answers": ["6.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001404", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the printing papers profit margin in 2003\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "6.4%.", "rejected": "4.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the printing papers profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the printing papers profit margin <TIME>", "original_question": "what was the printing papers profit margin in 2003", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6.4%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "4.4%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "IP/2005/page_27.pdf-4", "qa": {"question": "what was the printing papers profit margin in 2003", "answer": "6.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "464", "arg2": "7280", "res": "6.4%"}], "program": "divide(464, 7280)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;", "table_2": "in millions the operating profit of 2005 is $ 552 ; the operating profit of 2004 is $ 581 ; the operating profit of 2003 is $ 464 ;"}, "exe_ans": 0.06374, "tfidftopn": {"text_7": "printing papers in millions 2005 2004 2003 ."}, "program_re": "divide(464, 7280)", "model_input": [["text_5", "the printing papers segment took 995000 tons of downtime in 2005 , including 540000 tons of lack-of-order down- time to align production with customer demand ."], ["table_1", "in millions the sales of 2005 is $ 7860 ; the sales of 2004 is $ 7670 ; the sales of 2003 is $ 7280 ;"], ["table_2", "in millions the operating profit of 2005 is $ 552 ; the operating profit of 2004 is $ 581 ; the operating profit of 2003 is $ 464 ;"]]}, "answers": ["6.4%"]}, "rejected_source": {"id": "IP/2013/page_64.pdf-3", "qa": {"question": "what was the printing papers profit margin in 2011", "answer": "4.4%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "163", "arg2": "3710", "res": "4.4%"}], "program": "divide(163, 3710)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;", "table_2": "in millions the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ; the operating profit of 2011 is 163 ;"}, "exe_ans": 0.04394, "tfidftopn": {"text_14": "net sales and operating profits include the shorewood business in 2011 ."}, "program_re": "divide(163, 3710)", "model_input": [["table_1", "in millions the sales of 2013 is $ 3435 ; the sales of 2012 is $ 3170 ; the sales of 2011 is $ 3710 ;"], ["table_2", "in millions the operating profit of 2013 is 161 ; the operating profit of 2012 is 268 ; the operating profit of 2011 is 163 ;"], ["text_21", "operating profits were $ 63 million ( $ 110 million excluding paper machine shutdown costs and costs related to the sale of the shorewood business ) in 2013 compared with $ 165 million ( $ 162 million excluding charges associated with the sale of the shorewood business ) in 2012 and $ 35 million ( $ 236 million excluding asset impairment charges and other costs associated with the sale of the shorewood business ) in 2011 ."]]}, "answers": ["4.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001405", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-29%.", "rejected": "-38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001406", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-29%.", "rejected": "-4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001407", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-29%.", "rejected": "-6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001408", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-29%.", "rejected": "330%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001409", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-29%.", "rejected": "51%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001410", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-29%.", "rejected": "69%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001411", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "-29%.", "rejected": "70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001412", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-38%.", "rejected": "-29%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001413", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-38%.", "rejected": "-4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001414", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-38%.", "rejected": "-6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001415", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-38%.", "rejected": "330%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001416", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-38%.", "rejected": "51%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001417", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-38%.", "rejected": "69%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001418", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-38%.", "rejected": "70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001419", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4%.", "rejected": "-29%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001420", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4%.", "rejected": "-38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001421", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4%.", "rejected": "-6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001422", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4%.", "rejected": "330%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001423", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4%.", "rejected": "51%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001424", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4%.", "rejected": "69%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001425", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-4%.", "rejected": "70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001426", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-6%.", "rejected": "-29%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001427", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-6%.", "rejected": "-38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001428", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-6%.", "rejected": "-4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001429", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-6%.", "rejected": "330%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001430", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-6%.", "rejected": "51%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001431", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-6%.", "rejected": "69%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001432", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "-6%.", "rejected": "70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001433", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "330%.", "rejected": "-29%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001434", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "330%.", "rejected": "-38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001435", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "330%.", "rejected": "-4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001436", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "330%.", "rejected": "-6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001437", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "330%.", "rejected": "51%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001438", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "330%.", "rejected": "69%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001439", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "330%.", "rejected": "70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001440", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "51%.", "rejected": "-29%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001441", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "51%.", "rejected": "-38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001442", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "51%.", "rejected": "-4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001443", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "51%.", "rejected": "-6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001444", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "51%.", "rejected": "330%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001445", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "51%.", "rejected": "69%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001446", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "51%.", "rejected": "70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001447", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "69%.", "rejected": "-29%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001448", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "69%.", "rejected": "-38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001449", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "69%.", "rejected": "-4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001450", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "69%.", "rejected": "-6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001451", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "69%.", "rejected": "330%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001452", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "69%.", "rejected": "51%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001453", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "69%.", "rejected": "70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001454", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "70%.", "rejected": "-29%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2013 to 2014?", "answer": "-29%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1504", "arg2": "2085", "res": "-581"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2085", "res": "-9%"}], "program": "subtract(1504, 2085), divide(#0, 2085)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": -0.27866, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(1504, 2085), 2085)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["-29%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001455", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "70%.", "rejected": "-38%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2008 to 2009?", "answer": "-38%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "515", "arg2": "825", "res": "-310"}, {"op": "divide2-2", "arg1": "#0", "arg2": "825", "res": "-38%"}], "program": "subtract(515, 825), divide(#0, 825)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": -0.37576, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(515, 825), 825)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["-38%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001456", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "70%.", "rejected": "-4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2016 to 2017?", "answer": "-4%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "2162", "arg2": "2253", "res": "-91"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2253", "res": "-4%"}], "program": "subtract(2162, 2253), divide(#0, 2253)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": -0.04039, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2162, 2253), 2253)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["-4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001457", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "70%.", "rejected": "-6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "rejected_source": {"id": "UNP/2008/page_26.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2006 to 2007?", "answer": "-6%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "487", "arg2": "516", "res": "-29"}, {"op": "divide1-2", "arg1": "#0", "arg2": "516", "res": "-6%"}], "program": "subtract(487, 516), divide(#0, 516)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": -0.0562, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_12": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions of dollars 2008 2007 2006 ."}, "program_re": "divide(subtract(487, 516), 516)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["-6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001458", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "70%.", "rejected": "330%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "rejected_source": {"id": "UNP/2017/page_23.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2015 to 2016?", "answer": "330%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2253", "arg2": "524", "res": "1729"}, {"op": "divide1-2", "arg1": "#0", "arg2": "524", "res": "330%"}], "program": "subtract(2253, 524), divide(#0, 524)", "gold_inds": {"table_4": "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"}, "exe_ans": 3.29962, "tfidftopn": {"text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_8": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(subtract(2253, 524), 524)", "model_input": [["table_1", "millions the cash provided by operating activities of 2017 is $ 7230 ; the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ;"], ["table_2", "millions the cash used in investing activities of 2017 is -3086 ( 3086 ) ; the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ;"], ["table_4", "millions the free cash flow of 2017 is $ 2162 ; the free cash flow of 2016 is $ 2253 ; the free cash flow of 2015 is $ 524 ;"]]}, "answers": ["330%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001459", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "70%.", "rejected": "51%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "rejected_source": {"id": "UNP/2014/page_24.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2012 to 2013?", "answer": "51%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "2085", "arg2": "1382", "res": "703"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1382", "res": "51%"}], "program": "subtract(2085, 1382), divide(#0, 1382)", "gold_inds": {"table_4": "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"}, "exe_ans": 0.50868, "tfidftopn": {"text_1": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities .", "text_2": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2014 2013 2012 ."}, "program_re": "divide(subtract(2085, 1382), 1382)", "model_input": [["table_1", "millions the cash provided by operating activities of 2014 is $ 7385 ; the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ;"], ["table_2", "millions the cash used in investing activities of 2014 is -4249 ( 4249 ) ; the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ;"], ["table_4", "millions the free cash flow of 2014 is $ 1504 ; the free cash flow of 2013 is $ 2085 ; the free cash flow of 2012 is $ 1382 ;"]]}, "answers": ["51%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001460", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in free cash flow from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "70%.", "rejected": "69%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in free cash flow <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in free cash flow <TIME>?", "original_question": "what was the percentage change in free cash flow from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "69%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "70%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-38%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "51%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "-29%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "330%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "-4%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "UNP/2008/page_26.pdf-4", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "70%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide2-2", "arg1": "#0", "arg2": "487", "res": "70%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_7": "2022 free cash flow 2013 cash generated by operating activities totaled a record $ 4.1 billion , yielding free cash flow of $ 825 million in 2008 .", "text_11": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ; the cash provided by operating activities of 2006 is $ 2880 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ; the cash used in investing activities of 2006 is -2042 ( 2042 ) ;"], ["table_4", "millions of dollars the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ; the free cash flow of 2006 is $ 516 ;"]]}, "answers": ["70%"]}, "rejected_source": {"id": "UNP/2009/page_25.pdf-3", "qa": {"question": "what was the percentage change in free cash flow from 2007 to 2008?", "answer": "69%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "825", "arg2": "487", "res": "338"}, {"op": "divide1-2", "arg1": "#0", "arg2": "487", "res": "69%"}], "program": "subtract(825, 487), divide(#0, 487)", "gold_inds": {"table_4": "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"}, "exe_ans": 0.69405, "tfidftopn": {"text_9": "2022 free cash flow 2013 cash generated by operating activities totaled $ 3.2 billion , yielding free cash flow of $ 515 million in 2009 .", "text_13": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(subtract(825, 487), 487)", "model_input": [["table_1", "millions of dollars the cash provided by operating activities of 2009 is $ 3234 ; the cash provided by operating activities of 2008 is $ 4070 ; the cash provided by operating activities of 2007 is $ 3277 ;"], ["table_2", "millions of dollars the cash used in investing activities of 2009 is -2175 ( 2175 ) ; the cash used in investing activities of 2008 is -2764 ( 2764 ) ; the cash used in investing activities of 2007 is -2426 ( 2426 ) ;"], ["table_4", "millions of dollars the free cash flow of 2009 is $ 515 ; the free cash flow of 2008 is $ 825 ; the free cash flow of 2007 is $ 487 ;"]]}, "answers": ["69%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001461", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the weight of smokeless products in operating income from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "0.8%.", "rejected": "2.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what is the percentage change in the weight of smokeless products in operating income <TIME>?", "doc_prefix": "MO", "base_question": "what is the percentage change in the weight of smokeless products in operating income <TIME>?", "original_question": "what is the percentage change in the weight of smokeless products in operating income from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.3%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "0.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "MO/2017/page_10.pdf-3", "qa": {"question": "what is the percentage change in the weight of smokeless products in operating income from 2016 to 2017?", "answer": "0.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "13.2", "arg2": "13.1", "res": "0.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13.1", "res": "0.8%"}], "program": "subtract(13.2, 13.1), divide(#0, 13.1)", "gold_inds": {"table_2": "the smokeless products of 2017 is 13.2 ; the smokeless products of 2016 is 13.1 ; the smokeless products of 2015 is 12.8 ;"}, "exe_ans": 0.00763, "tfidftopn": {"table_4": "The all other of 2017 is -0.5 ( 0.5 ) ; The all other of 2016 is -1.1 ( 1.1 ) ; The all other of 2015 is -2.0 ( 2.0 ) ;", "text_18": "total smokeless products segment 2019s shipment volume was 841.3 million units in 2017 , a decrease of 1.4% ( 1.4 % ) from 2016 ."}, "program_re": "divide(subtract(13.2, 13.1), 13.1)", "model_input": [["text_0", "10-k altria ar release tuesday , february 27 , 2018 10:00pm andra design llc the relative percentages of operating companies income ( loss ) attributable to each reportable segment and the all other category were as follows: ."], ["table_1", "the smokeable products of 2017 is 85.8% ( 85.8 % ) ; the smokeable products of 2016 is 86.2% ( 86.2 % ) ; the smokeable products of 2015 is 87.4% ( 87.4 % ) ;"], ["table_2", "the smokeless products of 2017 is 13.2 ; the smokeless products of 2016 is 13.1 ; the smokeless products of 2015 is 12.8 ;"]]}, "answers": ["0.8%"]}, "rejected_source": {"id": "MO/2017/page_10.pdf-4", "qa": {"question": "what is the percentage change in the weight of smokeless products in operating income from 2015 to 2016?", "answer": "2.3%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "13.1", "arg2": "12.8", "res": "0.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "12.8", "res": "2.3%"}], "program": "subtract(13.1, 12.8), divide(#0, 12.8)", "gold_inds": {"table_2": "the smokeless products of 2017 is 13.2 ; the smokeless products of 2016 is 13.1 ; the smokeless products of 2015 is 12.8 ;"}, "exe_ans": 0.02344, "tfidftopn": {"table_4": "The all other of 2017 is -0.5 ( 0.5 ) ; The all other of 2016 is -1.1 ( 1.1 ) ; The all other of 2015 is -2.0 ( 2.0 ) ;", "text_15": "smokeless tobacco products : usstc is the leading producer and marketer of moist smokeless tobacco ( 201cmst 201d ) products ."}, "program_re": "divide(subtract(13.1, 12.8), 12.8)", "model_input": [["text_0", "10-k altria ar release tuesday , february 27 , 2018 10:00pm andra design llc the relative percentages of operating companies income ( loss ) attributable to each reportable segment and the all other category were as follows: ."], ["table_1", "the smokeable products of 2017 is 85.8% ( 85.8 % ) ; the smokeable products of 2016 is 86.2% ( 86.2 % ) ; the smokeable products of 2015 is 87.4% ( 87.4 % ) ;"], ["table_2", "the smokeless products of 2017 is 13.2 ; the smokeless products of 2016 is 13.1 ; the smokeless products of 2015 is 12.8 ;"]]}, "answers": ["2.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001462", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in the weight of smokeless products in operating income from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "2.3%.", "rejected": "0.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || what is the percentage change in the weight of smokeless products in operating income <TIME>?", "doc_prefix": "MO", "base_question": "what is the percentage change in the weight of smokeless products in operating income <TIME>?", "original_question": "what is the percentage change in the weight of smokeless products in operating income from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"2.3%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}], "0.8%": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}]}, "chosen_source": {"id": "MO/2017/page_10.pdf-4", "qa": {"question": "what is the percentage change in the weight of smokeless products in operating income from 2015 to 2016?", "answer": "2.3%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "13.1", "arg2": "12.8", "res": "0.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "12.8", "res": "2.3%"}], "program": "subtract(13.1, 12.8), divide(#0, 12.8)", "gold_inds": {"table_2": "the smokeless products of 2017 is 13.2 ; the smokeless products of 2016 is 13.1 ; the smokeless products of 2015 is 12.8 ;"}, "exe_ans": 0.02344, "tfidftopn": {"table_4": "The all other of 2017 is -0.5 ( 0.5 ) ; The all other of 2016 is -1.1 ( 1.1 ) ; The all other of 2015 is -2.0 ( 2.0 ) ;", "text_15": "smokeless tobacco products : usstc is the leading producer and marketer of moist smokeless tobacco ( 201cmst 201d ) products ."}, "program_re": "divide(subtract(13.1, 12.8), 12.8)", "model_input": [["text_0", "10-k altria ar release tuesday , february 27 , 2018 10:00pm andra design llc the relative percentages of operating companies income ( loss ) attributable to each reportable segment and the all other category were as follows: ."], ["table_1", "the smokeable products of 2017 is 85.8% ( 85.8 % ) ; the smokeable products of 2016 is 86.2% ( 86.2 % ) ; the smokeable products of 2015 is 87.4% ( 87.4 % ) ;"], ["table_2", "the smokeless products of 2017 is 13.2 ; the smokeless products of 2016 is 13.1 ; the smokeless products of 2015 is 12.8 ;"]]}, "answers": ["2.3%"]}, "rejected_source": {"id": "MO/2017/page_10.pdf-3", "qa": {"question": "what is the percentage change in the weight of smokeless products in operating income from 2016 to 2017?", "answer": "0.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "13.2", "arg2": "13.1", "res": "0.1"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13.1", "res": "0.8%"}], "program": "subtract(13.2, 13.1), divide(#0, 13.1)", "gold_inds": {"table_2": "the smokeless products of 2017 is 13.2 ; the smokeless products of 2016 is 13.1 ; the smokeless products of 2015 is 12.8 ;"}, "exe_ans": 0.00763, "tfidftopn": {"table_4": "The all other of 2017 is -0.5 ( 0.5 ) ; The all other of 2016 is -1.1 ( 1.1 ) ; The all other of 2015 is -2.0 ( 2.0 ) ;", "text_18": "total smokeless products segment 2019s shipment volume was 841.3 million units in 2017 , a decrease of 1.4% ( 1.4 % ) from 2016 ."}, "program_re": "divide(subtract(13.2, 13.1), 13.1)", "model_input": [["text_0", "10-k altria ar release tuesday , february 27 , 2018 10:00pm andra design llc the relative percentages of operating companies income ( loss ) attributable to each reportable segment and the all other category were as follows: ."], ["table_1", "the smokeable products of 2017 is 85.8% ( 85.8 % ) ; the smokeable products of 2016 is 86.2% ( 86.2 % ) ; the smokeable products of 2015 is 87.4% ( 87.4 % ) ;"], ["table_2", "the smokeless products of 2017 is 13.2 ; the smokeless products of 2016 is 13.1 ; the smokeless products of 2015 is 12.8 ;"]]}, "answers": ["0.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001463", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total operating expenses was fuel in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "24%.", "rejected": "29%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total operating expenses was fuel <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total operating expenses was fuel <TIME>?", "original_question": "what percent of total operating expenses was fuel in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"24%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "29%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "UNP/2008/page_32.pdf-1", "qa": {"question": "what percent of total operating expenses was fuel in 2007?", "answer": "24%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3104", "arg2": "12908", "res": "24%"}], "program": "divide(3104, 12908)", "gold_inds": {"table_2": "millions of dollars the fuel of 2008 is 3983 ; the fuel of 2007 is 3104 ; the fuel of 2006 is 2968 ; the fuel of % ( % ) change 2008 v 2007 is 28 ; the fuel of % ( % ) change 2007 v 2006 is 5 ;", "table_7": "millions of dollars the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of 2006 is $ 12694 ; the total of % ( % ) change 2008 v 2007 is 8 % ( % ) ; the total of % ( % ) change 2007 v 2006 is 2% ( 2 % ) ;"}, "exe_ans": 0.24047, "tfidftopn": {"text_1": "operating expenses millions of dollars 2008 2007 2006 % (  % ) change 2008 v 2007 % (  % ) change 2007 v 2006 ."}, "program_re": "divide(3104, 12908)", "model_input": [["text_1", "operating expenses millions of dollars 2008 2007 2006 % (  % ) change 2008 v 2007 % (  % ) change 2007 v 2006 ."], ["table_2", "millions of dollars the fuel of 2008 is 3983 ; the fuel of 2007 is 3104 ; the fuel of 2006 is 2968 ; the fuel of % ( % ) change 2008 v 2007 is 28 ; the fuel of % ( % ) change 2007 v 2006 is 5 ;"], ["table_7", "millions of dollars the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of 2006 is $ 12694 ; the total of % ( % ) change 2008 v 2007 is 8 % ( % ) ; the total of % ( % ) change 2007 v 2006 is 2% ( 2 % ) ;"]]}, "answers": ["24%"]}, "rejected_source": {"id": "UNP/2008/page_32.pdf-2", "qa": {"question": "what percent of total operating expenses was fuel in 2008?", "answer": "29%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3983", "arg2": "13895", "res": "29%"}], "program": "divide(3983, 13895)", "gold_inds": {"table_2": "millions of dollars the fuel of 2008 is 3983 ; the fuel of 2007 is 3104 ; the fuel of 2006 is 2968 ; the fuel of % ( % ) change 2008 v 2007 is 28 ; the fuel of % ( % ) change 2007 v 2006 is 5 ;", "table_7": "millions of dollars the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of 2006 is $ 12694 ; the total of % ( % ) change 2008 v 2007 is 8 % ( % ) ; the total of % ( % ) change 2007 v 2006 is 2% ( 2 % ) ;"}, "exe_ans": 0.28665, "tfidftopn": {"text_2": "operating expenses increased $ 987 million in 2008 ."}, "program_re": "divide(3983, 13895)", "model_input": [["text_1", "operating expenses millions of dollars 2008 2007 2006 % (  % ) change 2008 v 2007 % (  % ) change 2007 v 2006 ."], ["table_2", "millions of dollars the fuel of 2008 is 3983 ; the fuel of 2007 is 3104 ; the fuel of 2006 is 2968 ; the fuel of % ( % ) change 2008 v 2007 is 28 ; the fuel of % ( % ) change 2007 v 2006 is 5 ;"], ["table_7", "millions of dollars the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of 2006 is $ 12694 ; the total of % ( % ) change 2008 v 2007 is 8 % ( % ) ; the total of % ( % ) change 2007 v 2006 is 2% ( 2 % ) ;"]]}, "answers": ["29%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001464", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total operating expenses was fuel in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "29%.", "rejected": "24%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total operating expenses was fuel <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total operating expenses was fuel <TIME>?", "original_question": "what percent of total operating expenses was fuel in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"24%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "29%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "UNP/2008/page_32.pdf-2", "qa": {"question": "what percent of total operating expenses was fuel in 2008?", "answer": "29%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3983", "arg2": "13895", "res": "29%"}], "program": "divide(3983, 13895)", "gold_inds": {"table_2": "millions of dollars the fuel of 2008 is 3983 ; the fuel of 2007 is 3104 ; the fuel of 2006 is 2968 ; the fuel of % ( % ) change 2008 v 2007 is 28 ; the fuel of % ( % ) change 2007 v 2006 is 5 ;", "table_7": "millions of dollars the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of 2006 is $ 12694 ; the total of % ( % ) change 2008 v 2007 is 8 % ( % ) ; the total of % ( % ) change 2007 v 2006 is 2% ( 2 % ) ;"}, "exe_ans": 0.28665, "tfidftopn": {"text_2": "operating expenses increased $ 987 million in 2008 ."}, "program_re": "divide(3983, 13895)", "model_input": [["text_1", "operating expenses millions of dollars 2008 2007 2006 % (  % ) change 2008 v 2007 % (  % ) change 2007 v 2006 ."], ["table_2", "millions of dollars the fuel of 2008 is 3983 ; the fuel of 2007 is 3104 ; the fuel of 2006 is 2968 ; the fuel of % ( % ) change 2008 v 2007 is 28 ; the fuel of % ( % ) change 2007 v 2006 is 5 ;"], ["table_7", "millions of dollars the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of 2006 is $ 12694 ; the total of % ( % ) change 2008 v 2007 is 8 % ( % ) ; the total of % ( % ) change 2007 v 2006 is 2% ( 2 % ) ;"]]}, "answers": ["29%"]}, "rejected_source": {"id": "UNP/2008/page_32.pdf-1", "qa": {"question": "what percent of total operating expenses was fuel in 2007?", "answer": "24%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3104", "arg2": "12908", "res": "24%"}], "program": "divide(3104, 12908)", "gold_inds": {"table_2": "millions of dollars the fuel of 2008 is 3983 ; the fuel of 2007 is 3104 ; the fuel of 2006 is 2968 ; the fuel of % ( % ) change 2008 v 2007 is 28 ; the fuel of % ( % ) change 2007 v 2006 is 5 ;", "table_7": "millions of dollars the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of 2006 is $ 12694 ; the total of % ( % ) change 2008 v 2007 is 8 % ( % ) ; the total of % ( % ) change 2007 v 2006 is 2% ( 2 % ) ;"}, "exe_ans": 0.24047, "tfidftopn": {"text_1": "operating expenses millions of dollars 2008 2007 2006 % (  % ) change 2008 v 2007 % (  % ) change 2007 v 2006 ."}, "program_re": "divide(3104, 12908)", "model_input": [["text_1", "operating expenses millions of dollars 2008 2007 2006 % (  % ) change 2008 v 2007 % (  % ) change 2007 v 2006 ."], ["table_2", "millions of dollars the fuel of 2008 is 3983 ; the fuel of 2007 is 3104 ; the fuel of 2006 is 2968 ; the fuel of % ( % ) change 2008 v 2007 is 28 ; the fuel of % ( % ) change 2007 v 2006 is 5 ;"], ["table_7", "millions of dollars the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of 2006 is $ 12694 ; the total of % ( % ) change 2008 v 2007 is 8 % ( % ) ; the total of % ( % ) change 2007 v 2006 is 2% ( 2 % ) ;"]]}, "answers": ["24%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001465", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of total stock-based compensation cost from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "-16.", "rejected": "37.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the change in millions of total stock-based compensation cost <TIME>?", "doc_prefix": "PPG", "base_question": "what was the change in millions of total stock-based compensation cost <TIME>?", "original_question": "what was the change in millions of total stock-based compensation cost from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-16": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "37": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "PPG/2012/page_70.pdf-4", "qa": {"question": "what was the change in millions of total stock-based compensation cost from 2010 to 2011?", "answer": "-16", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus1-1", "arg1": "36", "arg2": "52", "res": "-16"}], "program": "subtract(36, 52)", "gold_inds": {"text_26": "total stock-based compensation cost was $ 73 million , $ 36 million and $ 52 million in 2012 , 2011 and 2010 , respectively ."}, "exe_ans": -16.0, "tfidftopn": {"table_5": "( millions ) The total of 2012 is $ 149 ; The total of 2011 is $ 177 ; The total of 2010 is $ 180 ;", "text_22": "stock-based compensation the company 2019s stock-based compensation includes stock options , restricted stock units ( 201crsus 201d ) and grants of contingent shares that are earned based on achieving targeted levels of total shareholder return ."}, "program_re": "subtract(36, 52)", "model_input": [["text_0", "68 2012 ppg annual report and form 10-k december 31 , 2012 , 2011 and 2010 was $ ( 30 ) million , $ 98 million and $ 65 million , respectively ."], ["table_5", "( millions ) the total of 2012 is $ 149 ; the total of 2011 is $ 177 ; the total of 2010 is $ 180 ;"], ["text_26", "total stock-based compensation cost was $ 73 million , $ 36 million and $ 52 million in 2012 , 2011 and 2010 , respectively ."]]}, "answers": ["-16"]}, "rejected_source": {"id": "PPG/2012/page_70.pdf-3", "qa": {"question": "what was the change in millions of total stock-based compensation cost from 2011 to 2012?", "answer": "37", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus2-1", "arg1": "73", "arg2": "36", "res": "37"}], "program": "subtract(73, 36)", "gold_inds": {"text_26": "total stock-based compensation cost was $ 73 million , $ 36 million and $ 52 million in 2012 , 2011 and 2010 , respectively ."}, "exe_ans": 37.0, "tfidftopn": {"table_5": "( millions ) The total of 2012 is $ 149 ; The total of 2011 is $ 177 ; The total of 2010 is $ 180 ;", "text_22": "stock-based compensation the company 2019s stock-based compensation includes stock options , restricted stock units ( 201crsus 201d ) and grants of contingent shares that are earned based on achieving targeted levels of total shareholder return ."}, "program_re": "subtract(73, 36)", "model_input": [["text_0", "68 2012 ppg annual report and form 10-k december 31 , 2012 , 2011 and 2010 was $ ( 30 ) million , $ 98 million and $ 65 million , respectively ."], ["table_5", "( millions ) the total of 2012 is $ 149 ; the total of 2011 is $ 177 ; the total of 2010 is $ 180 ;"], ["text_26", "total stock-based compensation cost was $ 73 million , $ 36 million and $ 52 million in 2012 , 2011 and 2010 , respectively ."]]}, "answers": ["37"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001466", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of total stock-based compensation cost from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "37.", "rejected": "-16.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the change in millions of total stock-based compensation cost <TIME>?", "doc_prefix": "PPG", "base_question": "what was the change in millions of total stock-based compensation cost <TIME>?", "original_question": "what was the change in millions of total stock-based compensation cost from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-16": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "37": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "PPG/2012/page_70.pdf-3", "qa": {"question": "what was the change in millions of total stock-based compensation cost from 2011 to 2012?", "answer": "37", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus2-1", "arg1": "73", "arg2": "36", "res": "37"}], "program": "subtract(73, 36)", "gold_inds": {"text_26": "total stock-based compensation cost was $ 73 million , $ 36 million and $ 52 million in 2012 , 2011 and 2010 , respectively ."}, "exe_ans": 37.0, "tfidftopn": {"table_5": "( millions ) The total of 2012 is $ 149 ; The total of 2011 is $ 177 ; The total of 2010 is $ 180 ;", "text_22": "stock-based compensation the company 2019s stock-based compensation includes stock options , restricted stock units ( 201crsus 201d ) and grants of contingent shares that are earned based on achieving targeted levels of total shareholder return ."}, "program_re": "subtract(73, 36)", "model_input": [["text_0", "68 2012 ppg annual report and form 10-k december 31 , 2012 , 2011 and 2010 was $ ( 30 ) million , $ 98 million and $ 65 million , respectively ."], ["table_5", "( millions ) the total of 2012 is $ 149 ; the total of 2011 is $ 177 ; the total of 2010 is $ 180 ;"], ["text_26", "total stock-based compensation cost was $ 73 million , $ 36 million and $ 52 million in 2012 , 2011 and 2010 , respectively ."]]}, "answers": ["37"]}, "rejected_source": {"id": "PPG/2012/page_70.pdf-4", "qa": {"question": "what was the change in millions of total stock-based compensation cost from 2010 to 2011?", "answer": "-16", "explanation": "", "ann_table_rows": [], "ann_text_rows": [26], "steps": [{"op": "minus1-1", "arg1": "36", "arg2": "52", "res": "-16"}], "program": "subtract(36, 52)", "gold_inds": {"text_26": "total stock-based compensation cost was $ 73 million , $ 36 million and $ 52 million in 2012 , 2011 and 2010 , respectively ."}, "exe_ans": -16.0, "tfidftopn": {"table_5": "( millions ) The total of 2012 is $ 149 ; The total of 2011 is $ 177 ; The total of 2010 is $ 180 ;", "text_22": "stock-based compensation the company 2019s stock-based compensation includes stock options , restricted stock units ( 201crsus 201d ) and grants of contingent shares that are earned based on achieving targeted levels of total shareholder return ."}, "program_re": "subtract(36, 52)", "model_input": [["text_0", "68 2012 ppg annual report and form 10-k december 31 , 2012 , 2011 and 2010 was $ ( 30 ) million , $ 98 million and $ 65 million , respectively ."], ["table_5", "( millions ) the total of 2012 is $ 149 ; the total of 2011 is $ 177 ; the total of 2010 is $ 180 ;"], ["text_26", "total stock-based compensation cost was $ 73 million , $ 36 million and $ 52 million in 2012 , 2011 and 2010 , respectively ."]]}, "answers": ["-16"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001467", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: how did the percentage of operating income related to smokeless product change from 2012 to 2013 relative the total operating income?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-2.4%.", "rejected": "9.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || how did the percentage of operating income related to smokeless product change <TIME> relative the total operating income?", "doc_prefix": "MO", "base_question": "how did the percentage of operating income related to smokeless product change <TIME> relative the total operating income?", "original_question": "how did the percentage of operating income related to smokeless product change from 2012 to 2013 relative the total operating income?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2.4%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "9.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "MO/2014/page_11.pdf-3", "qa": {"question": "how did the percentage of operating income related to smokeless product change from 2012 to 2013 relative the total operating income?", "answer": "-2.4%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "12.2", "arg2": "12.5", "res": "-0.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "12.5", "res": "-2.4%"}], "program": "subtract(12.2, 12.5), divide(#0, 12.5)", "gold_inds": {"table_2": "the smokeless products of 2014 is 13.4 ; the smokeless products of 2013 is 12.2 ; the smokeless products of 2012 is 12.5 ;"}, "exe_ans": -0.024, "tfidftopn": {"text_27": "operating companies income for the segments is defined as operating income before amortization of intangibles and general corporate expenses .", "table_4": "The all other of 2014 is -2.3 ( 2.3 ) ; The all other of 2013 is 1.9 ; The all other of 2012 is 2.4 ;"}, "program_re": "divide(subtract(12.2, 12.5), 12.5)", "model_input": [["text_37", "the relative percentages of operating companies income ( loss ) attributable to each reportable segment and the all other category were as follows: ."], ["table_2", "the smokeless products of 2014 is 13.4 ; the smokeless products of 2013 is 12.2 ; the smokeless products of 2012 is 12.5 ;"], ["table_5", "the total of 2014 is 100.0% ( 100.0 % ) ; the total of 2013 is 100.0% ( 100.0 % ) ; the total of 2012 is 100.0% ( 100.0 % ) ;"]]}, "answers": ["-2.4%"]}, "rejected_source": {"id": "MO/2014/page_11.pdf-4", "qa": {"question": "how did the percentage of operating income related to smokeless product change from 2013 to 2014 relative the total operating income?", "answer": "9.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "13.4", "arg2": "12.2", "res": "1.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "12.2", "res": "9.8%"}], "program": "subtract(13.4, 12.2), divide(#0, 12.2)", "gold_inds": {"table_2": "the smokeless products of 2014 is 13.4 ; the smokeless products of 2013 is 12.2 ; the smokeless products of 2012 is 12.5 ;"}, "exe_ans": 0.09836, "tfidftopn": {"text_27": "operating companies income for the segments is defined as operating income before amortization of intangibles and general corporate expenses .", "text_37": "the relative percentages of operating companies income ( loss ) attributable to each reportable segment and the all other category were as follows: ."}, "program_re": "divide(subtract(13.4, 12.2), 12.2)", "model_input": [["text_37", "the relative percentages of operating companies income ( loss ) attributable to each reportable segment and the all other category were as follows: ."], ["table_2", "the smokeless products of 2014 is 13.4 ; the smokeless products of 2013 is 12.2 ; the smokeless products of 2012 is 12.5 ;"], ["table_5", "the total of 2014 is 100.0% ( 100.0 % ) ; the total of 2013 is 100.0% ( 100.0 % ) ; the total of 2012 is 100.0% ( 100.0 % ) ;"]]}, "answers": ["9.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001468", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: how did the percentage of operating income related to smokeless product change from 2013 to 2014 relative the total operating income?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "9.8%.", "rejected": "-2.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "MO || how did the percentage of operating income related to smokeless product change <TIME> relative the total operating income?", "doc_prefix": "MO", "base_question": "how did the percentage of operating income related to smokeless product change <TIME> relative the total operating income?", "original_question": "how did the percentage of operating income related to smokeless product change from 2013 to 2014 relative the total operating income?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2.4%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}], "9.8%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}]}, "chosen_source": {"id": "MO/2014/page_11.pdf-4", "qa": {"question": "how did the percentage of operating income related to smokeless product change from 2013 to 2014 relative the total operating income?", "answer": "9.8%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "13.4", "arg2": "12.2", "res": "1.2"}, {"op": "divide1-2", "arg1": "#0", "arg2": "12.2", "res": "9.8%"}], "program": "subtract(13.4, 12.2), divide(#0, 12.2)", "gold_inds": {"table_2": "the smokeless products of 2014 is 13.4 ; the smokeless products of 2013 is 12.2 ; the smokeless products of 2012 is 12.5 ;"}, "exe_ans": 0.09836, "tfidftopn": {"text_27": "operating companies income for the segments is defined as operating income before amortization of intangibles and general corporate expenses .", "text_37": "the relative percentages of operating companies income ( loss ) attributable to each reportable segment and the all other category were as follows: ."}, "program_re": "divide(subtract(13.4, 12.2), 12.2)", "model_input": [["text_37", "the relative percentages of operating companies income ( loss ) attributable to each reportable segment and the all other category were as follows: ."], ["table_2", "the smokeless products of 2014 is 13.4 ; the smokeless products of 2013 is 12.2 ; the smokeless products of 2012 is 12.5 ;"], ["table_5", "the total of 2014 is 100.0% ( 100.0 % ) ; the total of 2013 is 100.0% ( 100.0 % ) ; the total of 2012 is 100.0% ( 100.0 % ) ;"]]}, "answers": ["9.8%"]}, "rejected_source": {"id": "MO/2014/page_11.pdf-3", "qa": {"question": "how did the percentage of operating income related to smokeless product change from 2012 to 2013 relative the total operating income?", "answer": "-2.4%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "12.2", "arg2": "12.5", "res": "-0.3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "12.5", "res": "-2.4%"}], "program": "subtract(12.2, 12.5), divide(#0, 12.5)", "gold_inds": {"table_2": "the smokeless products of 2014 is 13.4 ; the smokeless products of 2013 is 12.2 ; the smokeless products of 2012 is 12.5 ;"}, "exe_ans": -0.024, "tfidftopn": {"text_27": "operating companies income for the segments is defined as operating income before amortization of intangibles and general corporate expenses .", "table_4": "The all other of 2014 is -2.3 ( 2.3 ) ; The all other of 2013 is 1.9 ; The all other of 2012 is 2.4 ;"}, "program_re": "divide(subtract(12.2, 12.5), 12.5)", "model_input": [["text_37", "the relative percentages of operating companies income ( loss ) attributable to each reportable segment and the all other category were as follows: ."], ["table_2", "the smokeless products of 2014 is 13.4 ; the smokeless products of 2013 is 12.2 ; the smokeless products of 2012 is 12.5 ;"], ["table_5", "the total of 2014 is 100.0% ( 100.0 % ) ; the total of 2013 is 100.0% ( 100.0 % ) ; the total of 2012 is 100.0% ( 100.0 % ) ;"]]}, "answers": ["-2.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001469", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in personal injury liability from 2004 to 2005?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-3%.", "rejected": "2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in personal injury liability <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in personal injury liability <TIME>?", "original_question": "what was the percentage change in personal injury liability from 2004 to 2005?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "2%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "UNP/2006/page_72.pdf-3", "qa": {"question": "what was the percentage change in personal injury liability from 2004 to 2005?", "answer": "-3%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "619", "arg2": "639", "res": "-20"}, {"op": "divide1-2", "arg1": "#0", "arg2": "639", "res": "-3%"}], "program": "subtract(619, 639), divide(#0, 639)", "gold_inds": {"table_4": "millions of dollars the ending balance at december 31 of 2006 is $ 631 ; the ending balance at december 31 of 2005 is $ 619 ; the ending balance at december 31 of 2004 is $ 639 ;"}, "exe_ans": -0.0313, "tfidftopn": {"text_6": "our personal injury liability activity was as follows : millions of dollars 2006 2005 2004 .", "text_7": "our personal injury liability is discounted to present value using applicable u.s ."}, "program_re": "divide(subtract(619, 639), 639)", "model_input": [["text_6", "our personal injury liability activity was as follows : millions of dollars 2006 2005 2004 ."], ["table_1", "millions of dollars the beginning balance of 2006 is $ 619 ; the beginning balance of 2005 is $ 639 ; the beginning balance of 2004 is $ 619 ;"], ["table_4", "millions of dollars the ending balance at december 31 of 2006 is $ 631 ; the ending balance at december 31 of 2005 is $ 619 ; the ending balance at december 31 of 2004 is $ 639 ;"]]}, "answers": ["-3%"]}, "rejected_source": {"id": "UNP/2006/page_72.pdf-2", "qa": {"question": "what was the percentage change in personal injury liability from 2005 to 2006?", "answer": "2%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "631", "arg2": "619", "res": "12"}, {"op": "divide2-2", "arg1": "#0", "arg2": "619", "res": "2%"}], "program": "subtract(631, 619), divide(#0, 619)", "gold_inds": {"table_4": "millions of dollars the ending balance at december 31 of 2006 is $ 631 ; the ending balance at december 31 of 2005 is $ 619 ; the ending balance at december 31 of 2004 is $ 639 ;"}, "exe_ans": 0.01939, "tfidftopn": {"text_6": "our personal injury liability activity was as follows : millions of dollars 2006 2005 2004 .", "text_7": "our personal injury liability is discounted to present value using applicable u.s ."}, "program_re": "divide(subtract(631, 619), 619)", "model_input": [["text_6", "our personal injury liability activity was as follows : millions of dollars 2006 2005 2004 ."], ["table_1", "millions of dollars the beginning balance of 2006 is $ 619 ; the beginning balance of 2005 is $ 639 ; the beginning balance of 2004 is $ 619 ;"], ["table_4", "millions of dollars the ending balance at december 31 of 2006 is $ 631 ; the ending balance at december 31 of 2005 is $ 619 ; the ending balance at december 31 of 2004 is $ 639 ;"]]}, "answers": ["2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001470", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in personal injury liability from 2005 to 2006?\nReference time interval: 2005-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "2%.", "rejected": "-3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in personal injury liability <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in personal injury liability <TIME>?", "original_question": "what was the percentage change in personal injury liability from 2005 to 2006?", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3%": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "2%": [{"start": "2005-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2005 to 2006"}]}, "chosen_source": {"id": "UNP/2006/page_72.pdf-2", "qa": {"question": "what was the percentage change in personal injury liability from 2005 to 2006?", "answer": "2%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "631", "arg2": "619", "res": "12"}, {"op": "divide2-2", "arg1": "#0", "arg2": "619", "res": "2%"}], "program": "subtract(631, 619), divide(#0, 619)", "gold_inds": {"table_4": "millions of dollars the ending balance at december 31 of 2006 is $ 631 ; the ending balance at december 31 of 2005 is $ 619 ; the ending balance at december 31 of 2004 is $ 639 ;"}, "exe_ans": 0.01939, "tfidftopn": {"text_6": "our personal injury liability activity was as follows : millions of dollars 2006 2005 2004 .", "text_7": "our personal injury liability is discounted to present value using applicable u.s ."}, "program_re": "divide(subtract(631, 619), 619)", "model_input": [["text_6", "our personal injury liability activity was as follows : millions of dollars 2006 2005 2004 ."], ["table_1", "millions of dollars the beginning balance of 2006 is $ 619 ; the beginning balance of 2005 is $ 639 ; the beginning balance of 2004 is $ 619 ;"], ["table_4", "millions of dollars the ending balance at december 31 of 2006 is $ 631 ; the ending balance at december 31 of 2005 is $ 619 ; the ending balance at december 31 of 2004 is $ 639 ;"]]}, "answers": ["2%"]}, "rejected_source": {"id": "UNP/2006/page_72.pdf-3", "qa": {"question": "what was the percentage change in personal injury liability from 2004 to 2005?", "answer": "-3%", "explanation": "", "ann_table_rows": [4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "619", "arg2": "639", "res": "-20"}, {"op": "divide1-2", "arg1": "#0", "arg2": "639", "res": "-3%"}], "program": "subtract(619, 639), divide(#0, 639)", "gold_inds": {"table_4": "millions of dollars the ending balance at december 31 of 2006 is $ 631 ; the ending balance at december 31 of 2005 is $ 619 ; the ending balance at december 31 of 2004 is $ 639 ;"}, "exe_ans": -0.0313, "tfidftopn": {"text_6": "our personal injury liability activity was as follows : millions of dollars 2006 2005 2004 .", "text_7": "our personal injury liability is discounted to present value using applicable u.s ."}, "program_re": "divide(subtract(619, 639), 639)", "model_input": [["text_6", "our personal injury liability activity was as follows : millions of dollars 2006 2005 2004 ."], ["table_1", "millions of dollars the beginning balance of 2006 is $ 619 ; the beginning balance of 2005 is $ 639 ; the beginning balance of 2004 is $ 619 ;"], ["table_4", "millions of dollars the ending balance at december 31 of 2006 is $ 631 ; the ending balance at december 31 of 2005 is $ 619 ; the ending balance at december 31 of 2004 is $ 639 ;"]]}, "answers": ["-3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001471", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total freight revenues were energy in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "20%.", "rejected": "22%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total freight revenues were energy <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total freight revenues were energy <TIME>?", "original_question": "what percentage of total freight revenues were energy in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "22%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "UNP/2008/page_59.pdf-4", "qa": {"question": "what percentage of total freight revenues were energy in 2007?", "answer": "20%", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3134", "arg2": "15486", "res": "20%"}], "program": "divide(3134, 15486)", "gold_inds": {"table_4": "millions of dollars the energy of 2008 is 3810 ; the energy of 2007 is 3134 ; the energy of 2006 is 2949 ;", "table_7": "millions of dollars the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ; the total freight revenues of 2006 is $ 14791 ;"}, "exe_ans": 0.20238, "tfidftopn": {"table_9": "millions of dollars The total operating revenues of 2008 is $ 17970 ; The total operating revenues of 2007 is $ 16283 ; The total operating revenues of 2006 is $ 15578 ;"}, "program_re": "divide(3134, 15486)", "model_input": [["table_4", "millions of dollars the energy of 2008 is 3810 ; the energy of 2007 is 3134 ; the energy of 2006 is 2949 ;"], ["table_7", "millions of dollars the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ; the total freight revenues of 2006 is $ 14791 ;"], ["table_9", "millions of dollars the total operating revenues of 2008 is $ 17970 ; the total operating revenues of 2007 is $ 16283 ; the total operating revenues of 2006 is $ 15578 ;"]]}, "answers": ["20%"]}, "rejected_source": {"id": "UNP/2008/page_59.pdf-3", "qa": {"question": "what percentage of total freight revenues were energy in 2008?", "answer": "22%", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3810", "arg2": "17118", "res": "22%"}], "program": "divide(3810, 17118)", "gold_inds": {"table_4": "millions of dollars the energy of 2008 is 3810 ; the energy of 2007 is 3134 ; the energy of 2006 is 2949 ;", "table_7": "millions of dollars the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ; the total freight revenues of 2006 is $ 14791 ;"}, "exe_ans": 0.22257, "tfidftopn": {"table_9": "millions of dollars The total operating revenues of 2008 is $ 17970 ; The total operating revenues of 2007 is $ 16283 ; The total operating revenues of 2006 is $ 15578 ;"}, "program_re": "divide(3810, 17118)", "model_input": [["table_4", "millions of dollars the energy of 2008 is 3810 ; the energy of 2007 is 3134 ; the energy of 2006 is 2949 ;"], ["table_7", "millions of dollars the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ; the total freight revenues of 2006 is $ 14791 ;"], ["table_9", "millions of dollars the total operating revenues of 2008 is $ 17970 ; the total operating revenues of 2007 is $ 16283 ; the total operating revenues of 2006 is $ 15578 ;"]]}, "answers": ["22%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001472", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total freight revenues were energy in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "22%.", "rejected": "20%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total freight revenues were energy <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total freight revenues were energy <TIME>?", "original_question": "what percentage of total freight revenues were energy in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"20%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}], "22%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}]}, "chosen_source": {"id": "UNP/2008/page_59.pdf-3", "qa": {"question": "what percentage of total freight revenues were energy in 2008?", "answer": "22%", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3810", "arg2": "17118", "res": "22%"}], "program": "divide(3810, 17118)", "gold_inds": {"table_4": "millions of dollars the energy of 2008 is 3810 ; the energy of 2007 is 3134 ; the energy of 2006 is 2949 ;", "table_7": "millions of dollars the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ; the total freight revenues of 2006 is $ 14791 ;"}, "exe_ans": 0.22257, "tfidftopn": {"table_9": "millions of dollars The total operating revenues of 2008 is $ 17970 ; The total operating revenues of 2007 is $ 16283 ; The total operating revenues of 2006 is $ 15578 ;"}, "program_re": "divide(3810, 17118)", "model_input": [["table_4", "millions of dollars the energy of 2008 is 3810 ; the energy of 2007 is 3134 ; the energy of 2006 is 2949 ;"], ["table_7", "millions of dollars the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ; the total freight revenues of 2006 is $ 14791 ;"], ["table_9", "millions of dollars the total operating revenues of 2008 is $ 17970 ; the total operating revenues of 2007 is $ 16283 ; the total operating revenues of 2006 is $ 15578 ;"]]}, "answers": ["22%"]}, "rejected_source": {"id": "UNP/2008/page_59.pdf-4", "qa": {"question": "what percentage of total freight revenues were energy in 2007?", "answer": "20%", "explanation": "", "ann_table_rows": [4, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3134", "arg2": "15486", "res": "20%"}], "program": "divide(3134, 15486)", "gold_inds": {"table_4": "millions of dollars the energy of 2008 is 3810 ; the energy of 2007 is 3134 ; the energy of 2006 is 2949 ;", "table_7": "millions of dollars the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ; the total freight revenues of 2006 is $ 14791 ;"}, "exe_ans": 0.20238, "tfidftopn": {"table_9": "millions of dollars The total operating revenues of 2008 is $ 17970 ; The total operating revenues of 2007 is $ 16283 ; The total operating revenues of 2006 is $ 15578 ;"}, "program_re": "divide(3134, 15486)", "model_input": [["table_4", "millions of dollars the energy of 2008 is 3810 ; the energy of 2007 is 3134 ; the energy of 2006 is 2949 ;"], ["table_7", "millions of dollars the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ; the total freight revenues of 2006 is $ 14791 ;"], ["table_9", "millions of dollars the total operating revenues of 2008 is $ 17970 ; the total operating revenues of 2007 is $ 16283 ; the total operating revenues of 2006 is $ 15578 ;"]]}, "answers": ["20%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001473", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total aggregate debt maturities as of december 31 , 2011 are due in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "7%.", "rejected": "8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total aggregate debt maturities as of december 31 , <TIME> are due <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total aggregate debt maturities as of december 31 , <TIME> are due <TIME>?", "original_question": "what percent of total aggregate debt maturities as of december 31 , 2011 are due in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "8%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "UNP/2011/page_78.pdf-4", "qa": {"question": "what percent of total aggregate debt maturities as of december 31 , 2011 are due in 2013?", "answer": "7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "636", "arg2": "8906", "res": "7%"}], "program": "divide(636, 8906)", "gold_inds": {"table_1": "2012 the 2013 of $ 309 is 636 ;", "table_6": "2012 the total debt of $ 309 is $ 8906 ;"}, "exe_ans": 0.07141, "tfidftopn": {"text_0": "debt maturities 2013 the following table presents aggregate debt maturities as of december 31 , 2011 , excluding market value adjustments : millions ."}, "program_re": "divide(636, 8906)", "model_input": [["table_1", "2012 the 2013 of $ 309 is 636 ;"], ["table_5", "2012 the thereafter of $ 309 is 6271 ;"], ["table_6", "2012 the total debt of $ 309 is $ 8906 ;"]]}, "answers": ["7%"]}, "rejected_source": {"id": "UNP/2011/page_78.pdf-3", "qa": {"question": "what percent of total aggregate debt maturities as of december 31 , 2011 are due in 2014?", "answer": "8%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "706", "arg2": "8906", "res": "8%"}], "program": "divide(706, 8906)", "gold_inds": {"table_2": "2012 the 2014 of $ 309 is 706 ;", "table_6": "2012 the total debt of $ 309 is $ 8906 ;"}, "exe_ans": 0.07927, "tfidftopn": {"text_0": "debt maturities 2013 the following table presents aggregate debt maturities as of december 31 , 2011 , excluding market value adjustments : millions ."}, "program_re": "divide(706, 8906)", "model_input": [["table_2", "2012 the 2014 of $ 309 is 706 ;"], ["table_5", "2012 the thereafter of $ 309 is 6271 ;"], ["table_6", "2012 the total debt of $ 309 is $ 8906 ;"]]}, "answers": ["8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001474", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total aggregate debt maturities as of december 31 , 2011 are due in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "8%.", "rejected": "7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total aggregate debt maturities as of december 31 , <TIME> are due <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total aggregate debt maturities as of december 31 , <TIME> are due <TIME>?", "original_question": "what percent of total aggregate debt maturities as of december 31 , 2011 are due in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "8%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "UNP/2011/page_78.pdf-3", "qa": {"question": "what percent of total aggregate debt maturities as of december 31 , 2011 are due in 2014?", "answer": "8%", "explanation": "", "ann_table_rows": [2, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "706", "arg2": "8906", "res": "8%"}], "program": "divide(706, 8906)", "gold_inds": {"table_2": "2012 the 2014 of $ 309 is 706 ;", "table_6": "2012 the total debt of $ 309 is $ 8906 ;"}, "exe_ans": 0.07927, "tfidftopn": {"text_0": "debt maturities 2013 the following table presents aggregate debt maturities as of december 31 , 2011 , excluding market value adjustments : millions ."}, "program_re": "divide(706, 8906)", "model_input": [["table_2", "2012 the 2014 of $ 309 is 706 ;"], ["table_5", "2012 the thereafter of $ 309 is 6271 ;"], ["table_6", "2012 the total debt of $ 309 is $ 8906 ;"]]}, "answers": ["8%"]}, "rejected_source": {"id": "UNP/2011/page_78.pdf-4", "qa": {"question": "what percent of total aggregate debt maturities as of december 31 , 2011 are due in 2013?", "answer": "7%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "636", "arg2": "8906", "res": "7%"}], "program": "divide(636, 8906)", "gold_inds": {"table_1": "2012 the 2013 of $ 309 is 636 ;", "table_6": "2012 the total debt of $ 309 is $ 8906 ;"}, "exe_ans": 0.07141, "tfidftopn": {"text_0": "debt maturities 2013 the following table presents aggregate debt maturities as of december 31 , 2011 , excluding market value adjustments : millions ."}, "program_re": "divide(636, 8906)", "model_input": [["table_1", "2012 the 2013 of $ 309 is 636 ;"], ["table_5", "2012 the thereafter of $ 309 is 6271 ;"], ["table_6", "2012 the total debt of $ 309 is $ 8906 ;"]]}, "answers": ["7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001475", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the industrial packaging profit margin in 2003\nReference time interval: 2003-01-01 00:00:00 to 2004-01-01 00:00:00", "chosen": "6.3%.", "rejected": "8.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the industrial packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the industrial packaging profit margin <TIME>", "original_question": "what was the industrial packaging profit margin in 2003", "reference_time": {"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6.3%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "8.0%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "IP/2005/page_28.pdf-3", "qa": {"question": "what was the industrial packaging profit margin in 2003", "answer": "6.3%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "264", "arg2": "4170", "res": "6.3%"}], "program": "divide(264, 4170)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;", "table_2": "in millions the operating profit of 2005 is $ 230 ; the operating profit of 2004 is $ 380 ; the operating profit of 2003 is $ 264 ;"}, "exe_ans": 0.06331, "tfidftopn": {"text_12": "industrial packaging in millions 2005 2004 2003 ."}, "program_re": "divide(264, 4170)", "model_input": [["text_12", "industrial packaging in millions 2005 2004 2003 ."], ["table_1", "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;"], ["table_2", "in millions the operating profit of 2005 is $ 230 ; the operating profit of 2004 is $ 380 ; the operating profit of 2003 is $ 264 ;"]]}, "answers": ["6.3%"]}, "rejected_source": {"id": "IP/2012/page_55.pdf-4", "qa": {"question": "what was the industrial packaging profit margin in 2012", "answer": "8.0%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1066", "arg2": "13280", "res": "8%"}], "program": "divide(1066, 13280)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;", "table_2": "in millions the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ; the operating profit of 2010 is 826 ;"}, "exe_ans": 0.08027, "tfidftopn": {"text_2": "industrial packaging ."}, "program_re": "divide(1066, 13280)", "model_input": [["table_1", "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;"], ["table_2", "in millions the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ; the operating profit of 2010 is 826 ;"], ["text_30", "net sales for the packaging operations were $ 400 million in 2012 compared with $ 410 million in 2011 and $ 255 million in 2010 ."]]}, "answers": ["8.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001476", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the industrial packaging profit margin in 2012\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "8.0%.", "rejected": "6.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the industrial packaging profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the industrial packaging profit margin <TIME>", "original_question": "what was the industrial packaging profit margin in 2012", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6.3%": [{"start": "2003-01-01 00:00:00", "end": "2004-01-01 00:00:00", "normalized_text": "2003"}], "8.0%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "IP/2012/page_55.pdf-4", "qa": {"question": "what was the industrial packaging profit margin in 2012", "answer": "8.0%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1066", "arg2": "13280", "res": "8%"}], "program": "divide(1066, 13280)", "gold_inds": {"table_1": "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;", "table_2": "in millions the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ; the operating profit of 2010 is 826 ;"}, "exe_ans": 0.08027, "tfidftopn": {"text_2": "industrial packaging ."}, "program_re": "divide(1066, 13280)", "model_input": [["table_1", "in millions the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ; the sales of 2010 is $ 9840 ;"], ["table_2", "in millions the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ; the operating profit of 2010 is 826 ;"], ["text_30", "net sales for the packaging operations were $ 400 million in 2012 compared with $ 410 million in 2011 and $ 255 million in 2010 ."]]}, "answers": ["8.0%"]}, "rejected_source": {"id": "IP/2005/page_28.pdf-3", "qa": {"question": "what was the industrial packaging profit margin in 2003", "answer": "6.3%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "264", "arg2": "4170", "res": "6.3%"}], "program": "divide(264, 4170)", "gold_inds": {"table_1": "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;", "table_2": "in millions the operating profit of 2005 is $ 230 ; the operating profit of 2004 is $ 380 ; the operating profit of 2003 is $ 264 ;"}, "exe_ans": 0.06331, "tfidftopn": {"text_12": "industrial packaging in millions 2005 2004 2003 ."}, "program_re": "divide(264, 4170)", "model_input": [["text_12", "industrial packaging in millions 2005 2004 2003 ."], ["table_1", "in millions the sales of 2005 is $ 4935 ; the sales of 2004 is $ 4830 ; the sales of 2003 is $ 4170 ;"], ["table_2", "in millions the operating profit of 2005 is $ 230 ; the operating profit of 2004 is $ 380 ; the operating profit of 2003 is $ 264 ;"]]}, "answers": ["6.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001477", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the rig counts is related to north america in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "40.2%.", "rejected": "53.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BKR || what portion of the rig counts is related to north america <TIME>?", "doc_prefix": "BKR", "base_question": "what portion of the rig counts is related to north america <TIME>?", "original_question": "what portion of the rig counts is related to north america in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"40.2%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "53.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "BKR/2017/page_49.pdf-2", "qa": {"question": "what portion of the rig counts is related to north america in 2016?", "answer": "40.2%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "642", "arg2": "1598", "res": "40.2%"}], "program": "divide(642, 1598)", "gold_inds": {"table_1": "the north america of 2017 is 1082 ; the north america of 2016 is 642 ; the north america of 2015 is 1178 ;", "table_3": "the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ; the worldwide of 2015 is 2346 ;"}, "exe_ans": 0.40175, "tfidftopn": {"text_7": "the rig count in north america decreased 46% ( 46 % ) in 2016 compared to 2015 ."}, "program_re": "divide(642, 1598)", "model_input": [["table_1", "the north america of 2017 is 1082 ; the north america of 2016 is 642 ; the north america of 2015 is 1178 ;"], ["table_3", "the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ; the worldwide of 2015 is 2346 ;"], ["text_6", "2016 compared to 2015 overall the rig count was 1598 in 2016 , a decrease of 32% ( 32 % ) as compared to 2015 due primarily to north american activity ."]]}, "answers": ["40.2%"]}, "rejected_source": {"id": "BKR/2017/page_49.pdf-1", "qa": {"question": "what portion of the rig counts is related to north america in 2017?", "answer": "53.3%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1082", "arg2": "2030", "res": "53.3%"}], "program": "divide(1082, 2030)", "gold_inds": {"table_1": "the north america of 2017 is 1082 ; the north america of 2016 is 642 ; the north america of 2015 is 1178 ;", "table_3": "the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ; the worldwide of 2015 is 2346 ;"}, "exe_ans": 0.533, "tfidftopn": {"text_0": "bhge 2017 form 10-k | 29 the rig counts are summarized in the table below as averages for each of the periods indicated. ."}, "program_re": "divide(1082, 2030)", "model_input": [["table_1", "the north america of 2017 is 1082 ; the north america of 2016 is 642 ; the north america of 2015 is 1178 ;"], ["table_3", "the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ; the worldwide of 2015 is 2346 ;"], ["text_6", "2016 compared to 2015 overall the rig count was 1598 in 2016 , a decrease of 32% ( 32 % ) as compared to 2015 due primarily to north american activity ."]]}, "answers": ["53.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001478", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of the rig counts is related to north america in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "53.3%.", "rejected": "40.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BKR || what portion of the rig counts is related to north america <TIME>?", "doc_prefix": "BKR", "base_question": "what portion of the rig counts is related to north america <TIME>?", "original_question": "what portion of the rig counts is related to north america in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"40.2%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "53.3%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "BKR/2017/page_49.pdf-1", "qa": {"question": "what portion of the rig counts is related to north america in 2017?", "answer": "53.3%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1082", "arg2": "2030", "res": "53.3%"}], "program": "divide(1082, 2030)", "gold_inds": {"table_1": "the north america of 2017 is 1082 ; the north america of 2016 is 642 ; the north america of 2015 is 1178 ;", "table_3": "the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ; the worldwide of 2015 is 2346 ;"}, "exe_ans": 0.533, "tfidftopn": {"text_0": "bhge 2017 form 10-k | 29 the rig counts are summarized in the table below as averages for each of the periods indicated. ."}, "program_re": "divide(1082, 2030)", "model_input": [["table_1", "the north america of 2017 is 1082 ; the north america of 2016 is 642 ; the north america of 2015 is 1178 ;"], ["table_3", "the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ; the worldwide of 2015 is 2346 ;"], ["text_6", "2016 compared to 2015 overall the rig count was 1598 in 2016 , a decrease of 32% ( 32 % ) as compared to 2015 due primarily to north american activity ."]]}, "answers": ["53.3%"]}, "rejected_source": {"id": "BKR/2017/page_49.pdf-2", "qa": {"question": "what portion of the rig counts is related to north america in 2016?", "answer": "40.2%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "642", "arg2": "1598", "res": "40.2%"}], "program": "divide(642, 1598)", "gold_inds": {"table_1": "the north america of 2017 is 1082 ; the north america of 2016 is 642 ; the north america of 2015 is 1178 ;", "table_3": "the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ; the worldwide of 2015 is 2346 ;"}, "exe_ans": 0.40175, "tfidftopn": {"text_7": "the rig count in north america decreased 46% ( 46 % ) in 2016 compared to 2015 ."}, "program_re": "divide(642, 1598)", "model_input": [["table_1", "the north america of 2017 is 1082 ; the north america of 2016 is 642 ; the north america of 2015 is 1178 ;"], ["table_3", "the worldwide of 2017 is 2030 ; the worldwide of 2016 is 1598 ; the worldwide of 2015 is 2346 ;"], ["text_6", "2016 compared to 2015 overall the rig count was 1598 in 2016 , a decrease of 32% ( 32 % ) as compared to 2015 due primarily to north american activity ."]]}, "answers": ["40.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001479", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total minimum operating lease payments are due in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "11%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total minimum operating lease payments are due <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total minimum operating lease payments are due <TIME>?", "original_question": "what percent of total minimum operating lease payments are due in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "12%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "9%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "UNP/2011/page_80.pdf-4", "qa": {"question": "what percent of total minimum operating lease payments are due in 2013?", "answer": "11%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "489", "arg2": "4528", "res": "11%"}], "program": "divide(489, 4528)", "gold_inds": {"table_2": "millions the 2013 of operatingleases is 489 ; the 2013 of capitalleases is 269 ;", "table_7": "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"}, "exe_ans": 0.10799, "tfidftopn": {"text_21": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2011 , were as follows : millions operating leases capital leases ."}, "program_re": "divide(489, 4528)", "model_input": [["table_1", "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;"], ["table_2", "millions the 2013 of operatingleases is 489 ; the 2013 of capitalleases is 269 ;"], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "UNP/2011/page_80.pdf-3", "qa": {"question": "what percent of total minimum operating lease payments are due in 2012?", "answer": "12%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "525", "arg2": "4528", "res": "12%"}], "program": "divide(525, 4528)", "gold_inds": {"table_1": "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;", "table_7": "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"}, "exe_ans": 0.11595, "tfidftopn": {"text_21": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2011 , were as follows : millions operating leases capital leases ."}, "program_re": "divide(525, 4528)", "model_input": [["text_18", "leases we lease certain locomotives , freight cars , and other property ."], ["table_1", "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;"], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001480", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total minimum operating lease payments are due in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "11%.", "rejected": "9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total minimum operating lease payments are due <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total minimum operating lease payments are due <TIME>?", "original_question": "what percent of total minimum operating lease payments are due in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "12%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "9%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "UNP/2011/page_80.pdf-4", "qa": {"question": "what percent of total minimum operating lease payments are due in 2013?", "answer": "11%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "489", "arg2": "4528", "res": "11%"}], "program": "divide(489, 4528)", "gold_inds": {"table_2": "millions the 2013 of operatingleases is 489 ; the 2013 of capitalleases is 269 ;", "table_7": "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"}, "exe_ans": 0.10799, "tfidftopn": {"text_21": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2011 , were as follows : millions operating leases capital leases ."}, "program_re": "divide(489, 4528)", "model_input": [["table_1", "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;"], ["table_2", "millions the 2013 of operatingleases is 489 ; the 2013 of capitalleases is 269 ;"], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"]]}, "answers": ["11%"]}, "rejected_source": {"id": "UNP/2009/page_89.pdf-4", "qa": {"question": "what percent of total minimum operating lease payments are due in 2012?", "answer": "9%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "488", "arg2": "5312", "res": "9%"}], "program": "divide(488, 5312)", "gold_inds": {"table_3": "millions of dollars the 2012 of operatingleases is 488 ; the 2012 of capital leases is 247 ;", "table_7": "millions of dollars the total minimum lease payments of operatingleases is $ 5312 ; the total minimum lease payments of capital leases is $ 2975 ;"}, "exe_ans": 0.09187, "tfidftopn": {"text_4": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2009 were as follows : millions of dollars operating leases capital leases ."}, "program_re": "divide(488, 5312)", "model_input": [["table_1", "millions of dollars the 2010 of operatingleases is $ 576 ; the 2010 of capital leases is $ 290 ;"], ["table_3", "millions of dollars the 2012 of operatingleases is 488 ; the 2012 of capital leases is 247 ;"], ["table_7", "millions of dollars the total minimum lease payments of operatingleases is $ 5312 ; the total minimum lease payments of capital leases is $ 2975 ;"]]}, "answers": ["9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001481", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total minimum operating lease payments are due in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "12%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total minimum operating lease payments are due <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total minimum operating lease payments are due <TIME>?", "original_question": "what percent of total minimum operating lease payments are due in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "12%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "9%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "UNP/2011/page_80.pdf-3", "qa": {"question": "what percent of total minimum operating lease payments are due in 2012?", "answer": "12%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "525", "arg2": "4528", "res": "12%"}], "program": "divide(525, 4528)", "gold_inds": {"table_1": "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;", "table_7": "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"}, "exe_ans": 0.11595, "tfidftopn": {"text_21": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2011 , were as follows : millions operating leases capital leases ."}, "program_re": "divide(525, 4528)", "model_input": [["text_18", "leases we lease certain locomotives , freight cars , and other property ."], ["table_1", "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;"], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"]]}, "answers": ["12%"]}, "rejected_source": {"id": "UNP/2011/page_80.pdf-4", "qa": {"question": "what percent of total minimum operating lease payments are due in 2013?", "answer": "11%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "489", "arg2": "4528", "res": "11%"}], "program": "divide(489, 4528)", "gold_inds": {"table_2": "millions the 2013 of operatingleases is 489 ; the 2013 of capitalleases is 269 ;", "table_7": "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"}, "exe_ans": 0.10799, "tfidftopn": {"text_21": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2011 , were as follows : millions operating leases capital leases ."}, "program_re": "divide(489, 4528)", "model_input": [["table_1", "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;"], ["table_2", "millions the 2013 of operatingleases is 489 ; the 2013 of capitalleases is 269 ;"], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001482", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total minimum operating lease payments are due in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "12%.", "rejected": "9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total minimum operating lease payments are due <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total minimum operating lease payments are due <TIME>?", "original_question": "what percent of total minimum operating lease payments are due in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "12%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "9%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "UNP/2011/page_80.pdf-3", "qa": {"question": "what percent of total minimum operating lease payments are due in 2012?", "answer": "12%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "525", "arg2": "4528", "res": "12%"}], "program": "divide(525, 4528)", "gold_inds": {"table_1": "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;", "table_7": "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"}, "exe_ans": 0.11595, "tfidftopn": {"text_21": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2011 , were as follows : millions operating leases capital leases ."}, "program_re": "divide(525, 4528)", "model_input": [["text_18", "leases we lease certain locomotives , freight cars , and other property ."], ["table_1", "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;"], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"]]}, "answers": ["12%"]}, "rejected_source": {"id": "UNP/2009/page_89.pdf-4", "qa": {"question": "what percent of total minimum operating lease payments are due in 2012?", "answer": "9%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "488", "arg2": "5312", "res": "9%"}], "program": "divide(488, 5312)", "gold_inds": {"table_3": "millions of dollars the 2012 of operatingleases is 488 ; the 2012 of capital leases is 247 ;", "table_7": "millions of dollars the total minimum lease payments of operatingleases is $ 5312 ; the total minimum lease payments of capital leases is $ 2975 ;"}, "exe_ans": 0.09187, "tfidftopn": {"text_4": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2009 were as follows : millions of dollars operating leases capital leases ."}, "program_re": "divide(488, 5312)", "model_input": [["table_1", "millions of dollars the 2010 of operatingleases is $ 576 ; the 2010 of capital leases is $ 290 ;"], ["table_3", "millions of dollars the 2012 of operatingleases is 488 ; the 2012 of capital leases is 247 ;"], ["table_7", "millions of dollars the total minimum lease payments of operatingleases is $ 5312 ; the total minimum lease payments of capital leases is $ 2975 ;"]]}, "answers": ["9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001483", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total minimum operating lease payments are due in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "9%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total minimum operating lease payments are due <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total minimum operating lease payments are due <TIME>?", "original_question": "what percent of total minimum operating lease payments are due in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "12%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "9%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "UNP/2009/page_89.pdf-4", "qa": {"question": "what percent of total minimum operating lease payments are due in 2012?", "answer": "9%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "488", "arg2": "5312", "res": "9%"}], "program": "divide(488, 5312)", "gold_inds": {"table_3": "millions of dollars the 2012 of operatingleases is 488 ; the 2012 of capital leases is 247 ;", "table_7": "millions of dollars the total minimum lease payments of operatingleases is $ 5312 ; the total minimum lease payments of capital leases is $ 2975 ;"}, "exe_ans": 0.09187, "tfidftopn": {"text_4": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2009 were as follows : millions of dollars operating leases capital leases ."}, "program_re": "divide(488, 5312)", "model_input": [["table_1", "millions of dollars the 2010 of operatingleases is $ 576 ; the 2010 of capital leases is $ 290 ;"], ["table_3", "millions of dollars the 2012 of operatingleases is 488 ; the 2012 of capital leases is 247 ;"], ["table_7", "millions of dollars the total minimum lease payments of operatingleases is $ 5312 ; the total minimum lease payments of capital leases is $ 2975 ;"]]}, "answers": ["9%"]}, "rejected_source": {"id": "UNP/2011/page_80.pdf-4", "qa": {"question": "what percent of total minimum operating lease payments are due in 2013?", "answer": "11%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "489", "arg2": "4528", "res": "11%"}], "program": "divide(489, 4528)", "gold_inds": {"table_2": "millions the 2013 of operatingleases is 489 ; the 2013 of capitalleases is 269 ;", "table_7": "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"}, "exe_ans": 0.10799, "tfidftopn": {"text_21": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2011 , were as follows : millions operating leases capital leases ."}, "program_re": "divide(489, 4528)", "model_input": [["table_1", "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;"], ["table_2", "millions the 2013 of operatingleases is 489 ; the 2013 of capitalleases is 269 ;"], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001484", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total minimum operating lease payments are due in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "9%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total minimum operating lease payments are due <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total minimum operating lease payments are due <TIME>?", "original_question": "what percent of total minimum operating lease payments are due in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}, {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "12%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "9%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "UNP/2009/page_89.pdf-4", "qa": {"question": "what percent of total minimum operating lease payments are due in 2012?", "answer": "9%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "488", "arg2": "5312", "res": "9%"}], "program": "divide(488, 5312)", "gold_inds": {"table_3": "millions of dollars the 2012 of operatingleases is 488 ; the 2012 of capital leases is 247 ;", "table_7": "millions of dollars the total minimum lease payments of operatingleases is $ 5312 ; the total minimum lease payments of capital leases is $ 2975 ;"}, "exe_ans": 0.09187, "tfidftopn": {"text_4": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2009 were as follows : millions of dollars operating leases capital leases ."}, "program_re": "divide(488, 5312)", "model_input": [["table_1", "millions of dollars the 2010 of operatingleases is $ 576 ; the 2010 of capital leases is $ 290 ;"], ["table_3", "millions of dollars the 2012 of operatingleases is 488 ; the 2012 of capital leases is 247 ;"], ["table_7", "millions of dollars the total minimum lease payments of operatingleases is $ 5312 ; the total minimum lease payments of capital leases is $ 2975 ;"]]}, "answers": ["9%"]}, "rejected_source": {"id": "UNP/2011/page_80.pdf-3", "qa": {"question": "what percent of total minimum operating lease payments are due in 2012?", "answer": "12%", "explanation": "", "ann_table_rows": [1, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "525", "arg2": "4528", "res": "12%"}], "program": "divide(525, 4528)", "gold_inds": {"table_1": "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;", "table_7": "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"}, "exe_ans": 0.11595, "tfidftopn": {"text_21": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2011 , were as follows : millions operating leases capital leases ."}, "program_re": "divide(525, 4528)", "model_input": [["text_18", "leases we lease certain locomotives , freight cars , and other property ."], ["table_1", "millions the 2012 of operatingleases is $ 525 ; the 2012 of capitalleases is $ 297 ;"], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4528 ; the total minimum leasepayments of capitalleases is $ 2559 ;"]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001485", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total miles were other main line in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "13%.", "rejected": "14%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total miles were other main line <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total miles were other main line <TIME>?", "original_question": "what percentage of total miles were other main line in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "14%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}, {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}, {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "UNP/2014/page_14.pdf-3", "qa": {"question": "what percentage of total miles were other main line in 2013?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "6766", "arg2": "50861", "res": "13%"}], "program": "divide(6766, 50861)", "gold_inds": {"table_2": "the other main line of 2014 is 6943 ; the other main line of 2013 is 6766 ;", "table_5": "the total miles of 2014 is 51172 ; the total miles of 2013 is 50861 ;"}, "exe_ans": 0.13303, "tfidftopn": {"text_7": "2014 2013 ."}, "program_re": "divide(6766, 50861)", "model_input": [["table_1", "the route of 2014 is 31974 ; the route of 2013 is 31838 ;"], ["table_2", "the other main line of 2014 is 6943 ; the other main line of 2013 is 6766 ;"], ["table_5", "the total miles of 2014 is 51172 ; the total miles of 2013 is 50861 ;"]]}, "answers": ["13%"]}, "rejected_source": {"id": "UNP/2015/page_14.pdf-1", "qa": {"question": "what percentage of total miles were other main line in 2014?", "answer": "14%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "6943", "arg2": "51172", "res": "14%"}], "program": "divide(6943, 51172)", "gold_inds": {"table_2": "the other main line of 2015 is 7012 ; the other main line of 2014 is 6943 ;", "table_5": "the total miles of 2015 is 51439 ; the total miles of 2014 is 51172 ;"}, "exe_ans": 0.13568, "tfidftopn": {"text_6": "the following table describes track miles at december 31 , 2015 and 2014. ."}, "program_re": "divide(6943, 51172)", "model_input": [["text_6", "the following table describes track miles at december 31 , 2015 and 2014. ."], ["table_2", "the other main line of 2015 is 7012 ; the other main line of 2014 is 6943 ;"], ["table_5", "the total miles of 2015 is 51439 ; the total miles of 2014 is 51172 ;"]]}, "answers": ["14%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001486", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total miles were other main line in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "14%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total miles were other main line <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total miles were other main line <TIME>?", "original_question": "what percentage of total miles were other main line in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "14%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}, {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}, {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}]}, "chosen_source": {"id": "UNP/2015/page_14.pdf-1", "qa": {"question": "what percentage of total miles were other main line in 2014?", "answer": "14%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "6943", "arg2": "51172", "res": "14%"}], "program": "divide(6943, 51172)", "gold_inds": {"table_2": "the other main line of 2015 is 7012 ; the other main line of 2014 is 6943 ;", "table_5": "the total miles of 2015 is 51439 ; the total miles of 2014 is 51172 ;"}, "exe_ans": 0.13568, "tfidftopn": {"text_6": "the following table describes track miles at december 31 , 2015 and 2014. ."}, "program_re": "divide(6943, 51172)", "model_input": [["text_6", "the following table describes track miles at december 31 , 2015 and 2014. ."], ["table_2", "the other main line of 2015 is 7012 ; the other main line of 2014 is 6943 ;"], ["table_5", "the total miles of 2015 is 51439 ; the total miles of 2014 is 51172 ;"]]}, "answers": ["14%"]}, "rejected_source": {"id": "UNP/2014/page_14.pdf-3", "qa": {"question": "what percentage of total miles were other main line in 2013?", "answer": "13%", "explanation": "", "ann_table_rows": [2, 5], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "6766", "arg2": "50861", "res": "13%"}], "program": "divide(6766, 50861)", "gold_inds": {"table_2": "the other main line of 2014 is 6943 ; the other main line of 2013 is 6766 ;", "table_5": "the total miles of 2014 is 51172 ; the total miles of 2013 is 50861 ;"}, "exe_ans": 0.13303, "tfidftopn": {"text_7": "2014 2013 ."}, "program_re": "divide(6766, 50861)", "model_input": [["table_1", "the route of 2014 is 31974 ; the route of 2013 is 31838 ;"], ["table_2", "the other main line of 2014 is 6943 ; the other main line of 2013 is 6766 ;"], ["table_5", "the total miles of 2014 is 51172 ; the total miles of 2013 is 50861 ;"]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001487", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the profit margin in 2011\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "11%.", "rejected": "14%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the profit margin <TIME>", "original_question": "what was the profit margin in 2011", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "14%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "IP/2013/page_61.pdf-3", "qa": {"question": "what was the profit margin in 2011", "answer": "11%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1147", "arg2": "10430", "res": "11%"}], "program": "divide(1147, 10430)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;", "table_2": "in millions the operating profit of 2013 is 1801 ; the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ;"}, "exe_ans": 0.10997, "tfidftopn": {"text_30": "net sales were $ 1.3 billion in 2013 compared with $ 1.0 billion in 2012 and $ 1.1 billion in 2011 ."}, "program_re": "divide(1147, 10430)", "model_input": [["table_1", "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;"], ["table_2", "in millions the operating profit of 2013 is 1801 ; the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ;"], ["text_13", "operating profits in 2013 were $ 1.8 billion ( both including and excluding costs associated with the integration of temple-inland and other special items ) compared with $ 1.0 billion ( $ 1.3 billion excluding costs associated with the acquisition and integration of temple-inland and mill divestiture costs ) in 2012 and $ 1.1 billion ( both including and excluding costs associated with signing an agreement to acquire temple-inland ) in 2011 ."]]}, "answers": ["11%"]}, "rejected_source": {"id": "IP/2013/page_62.pdf-4", "qa": {"question": "what was the profit margin in 2011", "answer": "14%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "872", "arg2": "6215", "res": "14%"}], "program": "divide(872, 6215)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;", "table_2": "in millions the operating profit of 2013 is 271 ; the operating profit of 2012 is 599 ; the operating profit of 2011 is 872 ;"}, "exe_ans": 0.14031, "tfidftopn": {"text_20": "operating profits were $ 3 million in 2013 , 2012 and 2011 ."}, "program_re": "divide(872, 6215)", "model_input": [["text_0", "million excluding a gain on a bargain purchase price adjustment on the acquisition of a majority share of our operations in turkey and restructuring costs ) compared with $ 53 million ( $ 72 million excluding restructuring costs ) in 2012 and $ 66 million ( $ 61 million excluding a gain for a bargain purchase price adjustment on an acquisition by our then joint venture in turkey and costs associated with the closure of our etienne mill in france in 2009 ) in 2011 ."], ["table_1", "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;"], ["table_2", "in millions the operating profit of 2013 is 271 ; the operating profit of 2012 is 599 ; the operating profit of 2011 is 872 ;"]]}, "answers": ["14%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001488", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the profit margin in 2011\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "14%.", "rejected": "11%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the profit margin <TIME>", "doc_prefix": "IP", "base_question": "what was the profit margin <TIME>", "original_question": "what was the profit margin in 2011", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"11%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "14%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}]}, "chosen_source": {"id": "IP/2013/page_62.pdf-4", "qa": {"question": "what was the profit margin in 2011", "answer": "14%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "872", "arg2": "6215", "res": "14%"}], "program": "divide(872, 6215)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;", "table_2": "in millions the operating profit of 2013 is 271 ; the operating profit of 2012 is 599 ; the operating profit of 2011 is 872 ;"}, "exe_ans": 0.14031, "tfidftopn": {"text_20": "operating profits were $ 3 million in 2013 , 2012 and 2011 ."}, "program_re": "divide(872, 6215)", "model_input": [["text_0", "million excluding a gain on a bargain purchase price adjustment on the acquisition of a majority share of our operations in turkey and restructuring costs ) compared with $ 53 million ( $ 72 million excluding restructuring costs ) in 2012 and $ 66 million ( $ 61 million excluding a gain for a bargain purchase price adjustment on an acquisition by our then joint venture in turkey and costs associated with the closure of our etienne mill in france in 2009 ) in 2011 ."], ["table_1", "in millions the sales of 2013 is $ 6205 ; the sales of 2012 is $ 6230 ; the sales of 2011 is $ 6215 ;"], ["table_2", "in millions the operating profit of 2013 is 271 ; the operating profit of 2012 is 599 ; the operating profit of 2011 is 872 ;"]]}, "answers": ["14%"]}, "rejected_source": {"id": "IP/2013/page_61.pdf-3", "qa": {"question": "what was the profit margin in 2011", "answer": "11%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1147", "arg2": "10430", "res": "11%"}], "program": "divide(1147, 10430)", "gold_inds": {"table_1": "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;", "table_2": "in millions the operating profit of 2013 is 1801 ; the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ;"}, "exe_ans": 0.10997, "tfidftopn": {"text_30": "net sales were $ 1.3 billion in 2013 compared with $ 1.0 billion in 2012 and $ 1.1 billion in 2011 ."}, "program_re": "divide(1147, 10430)", "model_input": [["table_1", "in millions the sales of 2013 is $ 14810 ; the sales of 2012 is $ 13280 ; the sales of 2011 is $ 10430 ;"], ["table_2", "in millions the operating profit of 2013 is 1801 ; the operating profit of 2012 is 1066 ; the operating profit of 2011 is 1147 ;"], ["text_13", "operating profits in 2013 were $ 1.8 billion ( both including and excluding costs associated with the integration of temple-inland and other special items ) compared with $ 1.0 billion ( $ 1.3 billion excluding costs associated with the acquisition and integration of temple-inland and mill divestiture costs ) in 2012 and $ 1.1 billion ( both including and excluding costs associated with signing an agreement to acquire temple-inland ) in 2011 ."]]}, "answers": ["11%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001489", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total freight revenues was the industrial products commodity group in 2011?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "17%.", "rejected": "18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total freight revenues was the industrial products commodity group <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total freight revenues was the industrial products commodity group <TIME>?", "original_question": "what percentage of total freight revenues was the industrial products commodity group in 2011?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "18%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "UNP/2012/page_55.pdf-3", "qa": {"question": "what percentage of total freight revenues was the industrial products commodity group in 2011?", "answer": "17%", "explanation": "", "ann_table_rows": [5, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3166", "arg2": "18508", "res": "17%"}], "program": "divide(3166, 18508)", "gold_inds": {"table_5": "millions the industrial products of 2012 is 3494 ; the industrial products of 2011 is 3166 ; the industrial products of 2010 is 2639 ;", "table_7": "millions the total freight revenues of 2012 is $ 19686 ; the total freight revenues of 2011 is $ 18508 ; the total freight revenues of 2010 is $ 16069 ;"}, "exe_ans": 0.17106, "tfidftopn": {"text_10": "the following table provides freight revenue by commodity group : millions 2012 2011 2010 ."}, "program_re": "divide(3166, 18508)", "model_input": [["table_5", "millions the industrial products of 2012 is 3494 ; the industrial products of 2011 is 3166 ; the industrial products of 2010 is 2639 ;"], ["table_7", "millions the total freight revenues of 2012 is $ 19686 ; the total freight revenues of 2011 is $ 18508 ; the total freight revenues of 2010 is $ 16069 ;"], ["table_9", "millions the total operatingrevenues of 2012 is $ 20926 ; the total operatingrevenues of 2011 is $ 19557 ; the total operatingrevenues of 2010 is $ 16965 ;"]]}, "answers": ["17%"]}, "rejected_source": {"id": "UNP/2012/page_55.pdf-4", "qa": {"question": "what percentage of total freight revenues was the industrial products commodity group in 2012?", "answer": "18%", "explanation": "", "ann_table_rows": [5, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3494", "arg2": "19686", "res": "18%"}], "program": "divide(3494, 19686)", "gold_inds": {"table_5": "millions the industrial products of 2012 is 3494 ; the industrial products of 2011 is 3166 ; the industrial products of 2010 is 2639 ;", "table_7": "millions the total freight revenues of 2012 is $ 19686 ; the total freight revenues of 2011 is $ 18508 ; the total freight revenues of 2010 is $ 16069 ;"}, "exe_ans": 0.17749, "tfidftopn": {"text_10": "the following table provides freight revenue by commodity group : millions 2012 2011 2010 ."}, "program_re": "divide(3494, 19686)", "model_input": [["table_5", "millions the industrial products of 2012 is 3494 ; the industrial products of 2011 is 3166 ; the industrial products of 2010 is 2639 ;"], ["table_7", "millions the total freight revenues of 2012 is $ 19686 ; the total freight revenues of 2011 is $ 18508 ; the total freight revenues of 2010 is $ 16069 ;"], ["table_9", "millions the total operatingrevenues of 2012 is $ 20926 ; the total operatingrevenues of 2011 is $ 19557 ; the total operatingrevenues of 2010 is $ 16965 ;"]]}, "answers": ["18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001490", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total freight revenues was the industrial products commodity group in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "18%.", "rejected": "17%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total freight revenues was the industrial products commodity group <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total freight revenues was the industrial products commodity group <TIME>?", "original_question": "what percentage of total freight revenues was the industrial products commodity group in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"17%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "18%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "UNP/2012/page_55.pdf-4", "qa": {"question": "what percentage of total freight revenues was the industrial products commodity group in 2012?", "answer": "18%", "explanation": "", "ann_table_rows": [5, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "3494", "arg2": "19686", "res": "18%"}], "program": "divide(3494, 19686)", "gold_inds": {"table_5": "millions the industrial products of 2012 is 3494 ; the industrial products of 2011 is 3166 ; the industrial products of 2010 is 2639 ;", "table_7": "millions the total freight revenues of 2012 is $ 19686 ; the total freight revenues of 2011 is $ 18508 ; the total freight revenues of 2010 is $ 16069 ;"}, "exe_ans": 0.17749, "tfidftopn": {"text_10": "the following table provides freight revenue by commodity group : millions 2012 2011 2010 ."}, "program_re": "divide(3494, 19686)", "model_input": [["table_5", "millions the industrial products of 2012 is 3494 ; the industrial products of 2011 is 3166 ; the industrial products of 2010 is 2639 ;"], ["table_7", "millions the total freight revenues of 2012 is $ 19686 ; the total freight revenues of 2011 is $ 18508 ; the total freight revenues of 2010 is $ 16069 ;"], ["table_9", "millions the total operatingrevenues of 2012 is $ 20926 ; the total operatingrevenues of 2011 is $ 19557 ; the total operatingrevenues of 2010 is $ 16965 ;"]]}, "answers": ["18%"]}, "rejected_source": {"id": "UNP/2012/page_55.pdf-3", "qa": {"question": "what percentage of total freight revenues was the industrial products commodity group in 2011?", "answer": "17%", "explanation": "", "ann_table_rows": [5, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3166", "arg2": "18508", "res": "17%"}], "program": "divide(3166, 18508)", "gold_inds": {"table_5": "millions the industrial products of 2012 is 3494 ; the industrial products of 2011 is 3166 ; the industrial products of 2010 is 2639 ;", "table_7": "millions the total freight revenues of 2012 is $ 19686 ; the total freight revenues of 2011 is $ 18508 ; the total freight revenues of 2010 is $ 16069 ;"}, "exe_ans": 0.17106, "tfidftopn": {"text_10": "the following table provides freight revenue by commodity group : millions 2012 2011 2010 ."}, "program_re": "divide(3166, 18508)", "model_input": [["table_5", "millions the industrial products of 2012 is 3494 ; the industrial products of 2011 is 3166 ; the industrial products of 2010 is 2639 ;"], ["table_7", "millions the total freight revenues of 2012 is $ 19686 ; the total freight revenues of 2011 is $ 18508 ; the total freight revenues of 2010 is $ 16069 ;"], ["table_9", "millions the total operatingrevenues of 2012 is $ 20926 ; the total operatingrevenues of 2011 is $ 19557 ; the total operatingrevenues of 2010 is $ 16965 ;"]]}, "answers": ["17%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001491", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of total other earnings from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "13.", "rejected": "36.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the change in millions of total other earnings <TIME>?", "doc_prefix": "PPG", "base_question": "what was the change in millions of total other earnings <TIME>?", "original_question": "what was the change in millions of total other earnings from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "36": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "PPG/2010/page_68.pdf-3", "qa": {"question": "what was the change in millions of total other earnings from 2008 to 2009?", "answer": "13", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "178", "arg2": "165", "res": "13"}], "program": "subtract(178, 165)", "gold_inds": {"table_6": "( millions ) the total of 2010 is $ 214 ; the total of 2009 is $ 178 ; the total of 2008 is $ 165 ;"}, "exe_ans": 13.0, "tfidftopn": {"text_16": "other earnings ( millions ) 2010 2009 2008 .", "table_5": "( millions ) The other of 2010 is 69 ; The other of 2009 is 74 ; The other of 2008 is 61 ;"}, "program_re": "subtract(178, 165)", "model_input": [["table_5", "( millions ) the other of 2010 is 69 ; the other of 2009 is 74 ; the other of 2008 is 61 ;"], ["table_6", "( millions ) the total of 2010 is $ 214 ; the total of 2009 is $ 178 ; the total of 2008 is $ 165 ;"], ["text_17", "total $ 214 $ 178 $ 165 21 ."]]}, "answers": ["13"]}, "rejected_source": {"id": "PPG/2010/page_68.pdf-4", "qa": {"question": "what was the change in millions of total other earnings from 2009 to 2010?", "answer": "36", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "214", "arg2": "178", "res": "36"}], "program": "subtract(214, 178)", "gold_inds": {"table_6": "( millions ) the total of 2010 is $ 214 ; the total of 2009 is $ 178 ; the total of 2008 is $ 165 ;"}, "exe_ans": 36.0, "tfidftopn": {"text_16": "other earnings ( millions ) 2010 2009 2008 .", "table_5": "( millions ) The other of 2010 is 69 ; The other of 2009 is 74 ; The other of 2008 is 61 ;"}, "program_re": "subtract(214, 178)", "model_input": [["table_5", "( millions ) the other of 2010 is 69 ; the other of 2009 is 74 ; the other of 2008 is 61 ;"], ["table_6", "( millions ) the total of 2010 is $ 214 ; the total of 2009 is $ 178 ; the total of 2008 is $ 165 ;"], ["text_17", "total $ 214 $ 178 $ 165 21 ."]]}, "answers": ["36"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001492", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of total other earnings from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "36.", "rejected": "13.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the change in millions of total other earnings <TIME>?", "doc_prefix": "PPG", "base_question": "what was the change in millions of total other earnings <TIME>?", "original_question": "what was the change in millions of total other earnings from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "36": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "PPG/2010/page_68.pdf-4", "qa": {"question": "what was the change in millions of total other earnings from 2009 to 2010?", "answer": "36", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "214", "arg2": "178", "res": "36"}], "program": "subtract(214, 178)", "gold_inds": {"table_6": "( millions ) the total of 2010 is $ 214 ; the total of 2009 is $ 178 ; the total of 2008 is $ 165 ;"}, "exe_ans": 36.0, "tfidftopn": {"text_16": "other earnings ( millions ) 2010 2009 2008 .", "table_5": "( millions ) The other of 2010 is 69 ; The other of 2009 is 74 ; The other of 2008 is 61 ;"}, "program_re": "subtract(214, 178)", "model_input": [["table_5", "( millions ) the other of 2010 is 69 ; the other of 2009 is 74 ; the other of 2008 is 61 ;"], ["table_6", "( millions ) the total of 2010 is $ 214 ; the total of 2009 is $ 178 ; the total of 2008 is $ 165 ;"], ["text_17", "total $ 214 $ 178 $ 165 21 ."]]}, "answers": ["36"]}, "rejected_source": {"id": "PPG/2010/page_68.pdf-3", "qa": {"question": "what was the change in millions of total other earnings from 2008 to 2009?", "answer": "13", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "178", "arg2": "165", "res": "13"}], "program": "subtract(178, 165)", "gold_inds": {"table_6": "( millions ) the total of 2010 is $ 214 ; the total of 2009 is $ 178 ; the total of 2008 is $ 165 ;"}, "exe_ans": 13.0, "tfidftopn": {"text_16": "other earnings ( millions ) 2010 2009 2008 .", "table_5": "( millions ) The other of 2010 is 69 ; The other of 2009 is 74 ; The other of 2008 is 61 ;"}, "program_re": "subtract(178, 165)", "model_input": [["table_5", "( millions ) the other of 2010 is 69 ; the other of 2009 is 74 ; the other of 2008 is 61 ;"], ["table_6", "( millions ) the total of 2010 is $ 214 ; the total of 2009 is $ 178 ; the total of 2008 is $ 165 ;"], ["text_17", "total $ 214 $ 178 $ 165 21 ."]]}, "answers": ["13"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001493", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in free cash flow from 2011 to 2012 , in millions?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-535.", "rejected": "502.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the change in free cash flow <TIME> , in millions?", "doc_prefix": "UNP", "base_question": "what was the change in free cash flow <TIME> , in millions?", "original_question": "what was the change in free cash flow from 2011 to 2012 , in millions?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"502": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-535": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "UNP/2012/page_23.pdf-4", "qa": {"question": "what was the change in free cash flow from 2011 to 2012 , in millions?", "answer": "-535", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1382", "arg2": "1917", "res": "-535"}], "program": "subtract(1382, 1917)", "gold_inds": {"table_6": "millions the free cash flow of 2012 is $ 1382 ; the free cash flow of 2011 is $ 1917 ; the free cash flow of 2010 is $ 1415 ;"}, "exe_ans": -535.0, "tfidftopn": {"text_6": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2012 2011 2010 .", "text_5": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "subtract(1382, 1917)", "model_input": [["table_1", "millions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"], ["table_4", "millions the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ; the cash used in investing activities of 2010 is -2488 ( 2488 ) ;"], ["table_6", "millions the free cash flow of 2012 is $ 1382 ; the free cash flow of 2011 is $ 1917 ; the free cash flow of 2010 is $ 1415 ;"]]}, "answers": ["-535"]}, "rejected_source": {"id": "UNP/2012/page_23.pdf-3", "qa": {"question": "what was the change in free cash flow from 2010 to 2011 , in millions?", "answer": "502", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1917", "arg2": "1415", "res": "502"}], "program": "subtract(1917, 1415)", "gold_inds": {"table_6": "millions the free cash flow of 2012 is $ 1382 ; the free cash flow of 2011 is $ 1917 ; the free cash flow of 2010 is $ 1415 ;"}, "exe_ans": 502.0, "tfidftopn": {"text_6": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2012 2011 2010 .", "text_5": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "subtract(1917, 1415)", "model_input": [["table_1", "millions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"], ["table_4", "millions the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ; the cash used in investing activities of 2010 is -2488 ( 2488 ) ;"], ["table_6", "millions the free cash flow of 2012 is $ 1382 ; the free cash flow of 2011 is $ 1917 ; the free cash flow of 2010 is $ 1415 ;"]]}, "answers": ["502"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001494", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in free cash flow from 2010 to 2011 , in millions?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "502.", "rejected": "-535.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the change in free cash flow <TIME> , in millions?", "doc_prefix": "UNP", "base_question": "what was the change in free cash flow <TIME> , in millions?", "original_question": "what was the change in free cash flow from 2010 to 2011 , in millions?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"502": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-535": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "UNP/2012/page_23.pdf-3", "qa": {"question": "what was the change in free cash flow from 2010 to 2011 , in millions?", "answer": "502", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1917", "arg2": "1415", "res": "502"}], "program": "subtract(1917, 1415)", "gold_inds": {"table_6": "millions the free cash flow of 2012 is $ 1382 ; the free cash flow of 2011 is $ 1917 ; the free cash flow of 2010 is $ 1415 ;"}, "exe_ans": 502.0, "tfidftopn": {"text_6": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2012 2011 2010 .", "text_5": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "subtract(1917, 1415)", "model_input": [["table_1", "millions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"], ["table_4", "millions the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ; the cash used in investing activities of 2010 is -2488 ( 2488 ) ;"], ["table_6", "millions the free cash flow of 2012 is $ 1382 ; the free cash flow of 2011 is $ 1917 ; the free cash flow of 2010 is $ 1415 ;"]]}, "answers": ["502"]}, "rejected_source": {"id": "UNP/2012/page_23.pdf-4", "qa": {"question": "what was the change in free cash flow from 2011 to 2012 , in millions?", "answer": "-535", "explanation": "", "ann_table_rows": [6], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1382", "arg2": "1917", "res": "-535"}], "program": "subtract(1382, 1917)", "gold_inds": {"table_6": "millions the free cash flow of 2012 is $ 1382 ; the free cash flow of 2011 is $ 1917 ; the free cash flow of 2010 is $ 1415 ;"}, "exe_ans": -535.0, "tfidftopn": {"text_6": "the following table reconciles cash provided by operating activities ( gaap measure ) to free cash flow ( non-gaap measure ) : millions 2012 2011 2010 .", "text_5": "free cash flow should be considered in addition to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "subtract(1382, 1917)", "model_input": [["table_1", "millions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"], ["table_4", "millions the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ; the cash used in investing activities of 2010 is -2488 ( 2488 ) ;"], ["table_6", "millions the free cash flow of 2012 is $ 1382 ; the free cash flow of 2011 is $ 1917 ; the free cash flow of 2010 is $ 1415 ;"]]}, "answers": ["-535"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001495", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in nasdaq composite index from march 2006 to march 2009?\nReference time interval: 2006-03-01 00:00:00 to 2009-04-01 00:00:00", "chosen": "-34.7%.", "rejected": "36.3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ABMD || what is the roi of an investment in nasdaq composite index <TIME>?", "doc_prefix": "ABMD", "base_question": "what is the roi of an investment in nasdaq composite index <TIME>?", "original_question": "what is the roi of an investment in nasdaq composite index from march 2006 to march 2009?", "reference_time": {"start": "2006-03-01 00:00:00", "end": "2009-04-01 00:00:00", "normalized_text": "from 2006-03 to 2009-03", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-34.7%": [{"start": "2006-03-01 00:00:00", "end": "2009-04-01 00:00:00", "normalized_text": "from 2006-03 to 2009-03"}], "36.3%": [{"start": "2010-03-01 00:00:00", "end": "2013-04-01 00:00:00", "normalized_text": "from 2010-03 to 2013-03"}]}, "chosen_source": {"id": "ABMD/2011/page_33.pdf-3", "qa": {"question": "what is the roi of an investment in nasdaq composite index from march 2006 to march 2009?", "answer": "-34.7%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "65.33", "arg2": "100", "res": "-34.67"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "-34.7%"}], "program": "subtract(65.33, 100), divide(#0, 100)", "gold_inds": {"table_2": "the nasdaq composite index of 3/31/2006 is 100 ; the nasdaq composite index of 3/31/2007 is 103.50 ; the nasdaq composite index of 3/31/2008 is 97.41 ; the nasdaq composite index of 3/31/2009 is 65.33 ; the nasdaq composite index of 3/31/2010 is 102.49 ; the nasdaq composite index of 3/31/2011 is 118.86 ;"}, "exe_ans": -0.3467, "tfidftopn": {"text_2": "the performance graph assumes the investment of $ 100 on march 31 , 2006 in our common stock , the nasdaq composite index ( u.s .", "text_0": "performance graph the following graph compares the yearly change in the cumulative total stockholder return for our last five full fiscal years , based upon the market price of our common stock , with the cumulative total return on a nasdaq composite index ( u.s ."}, "program_re": "divide(subtract(65.33, 100), 100)", "model_input": [["text_2", "the performance graph assumes the investment of $ 100 on march 31 , 2006 in our common stock , the nasdaq composite index ( u.s ."], ["table_2", "the nasdaq composite index of 3/31/2006 is 100 ; the nasdaq composite index of 3/31/2007 is 103.50 ; the nasdaq composite index of 3/31/2008 is 97.41 ; the nasdaq composite index of 3/31/2009 is 65.33 ; the nasdaq composite index of 3/31/2010 is 102.49 ; the nasdaq composite index of 3/31/2011 is 118.86 ;"], ["table_3", "the nasdaq medical equipment sic code 3840-3849 of 3/31/2006 is 100 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2007 is 88.78 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2008 is 84.26 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2009 is 46.12 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2010 is 83.47 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2011 is 91.35 ;"]]}, "answers": ["-34.7%"]}, "rejected_source": {"id": "ABMD/2015/page_53.pdf-4", "qa": {"question": "what is the roi of an investment in nasdaq composite index from march 2010 to march 2013?", "answer": "36.3%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "136.26", "arg2": "100", "res": "36.26"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "36.3%"}], "program": "subtract(136.26, 100), divide(#0, 100)", "gold_inds": {"table_2": "the nasdaq composite index of 3/31/2010 is 100 ; the nasdaq composite index of 3/31/2011 is 115.98 ; the nasdaq composite index of 3/31/2012 is 128.93 ; the nasdaq composite index of 3/31/2013 is 136.26 ; the nasdaq composite index of 3/31/2014 is 175.11 ; the nasdaq composite index of 3/31/2015 is 204.38 ;"}, "exe_ans": 0.3626, "tfidftopn": {"text_2": "the performance graph assumes the investment of $ 100 on march 31 , 2010 in our common stock , the nasdaq composite index ( u.s .", "text_0": "performance graph the following graph compares the yearly change in the cumulative total stockholder return for our last five full fiscal years , based upon the market price of our common stock , with the cumulative total return on a nasdaq composite index ( u.s ."}, "program_re": "divide(subtract(136.26, 100), 100)", "model_input": [["text_2", "the performance graph assumes the investment of $ 100 on march 31 , 2010 in our common stock , the nasdaq composite index ( u.s ."], ["table_2", "the nasdaq composite index of 3/31/2010 is 100 ; the nasdaq composite index of 3/31/2011 is 115.98 ; the nasdaq composite index of 3/31/2012 is 128.93 ; the nasdaq composite index of 3/31/2013 is 136.26 ; the nasdaq composite index of 3/31/2014 is 175.11 ; the nasdaq composite index of 3/31/2015 is 204.38 ;"], ["table_3", "the nasdaq medical equipment sic code 3840-3849 of 3/31/2010 is 100 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2011 is 108.31 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2012 is 115.05 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2013 is 105.56 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2014 is 123.18 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2015 is 118.95 ;"]]}, "answers": ["36.3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001496", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in nasdaq composite index from march 2010 to march 2013?\nReference time interval: 2010-03-01 00:00:00 to 2013-04-01 00:00:00", "chosen": "36.3%.", "rejected": "-34.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ABMD || what is the roi of an investment in nasdaq composite index <TIME>?", "doc_prefix": "ABMD", "base_question": "what is the roi of an investment in nasdaq composite index <TIME>?", "original_question": "what is the roi of an investment in nasdaq composite index from march 2010 to march 2013?", "reference_time": {"start": "2010-03-01 00:00:00", "end": "2013-04-01 00:00:00", "normalized_text": "from 2010-03 to 2013-03", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-34.7%": [{"start": "2006-03-01 00:00:00", "end": "2009-04-01 00:00:00", "normalized_text": "from 2006-03 to 2009-03"}], "36.3%": [{"start": "2010-03-01 00:00:00", "end": "2013-04-01 00:00:00", "normalized_text": "from 2010-03 to 2013-03"}]}, "chosen_source": {"id": "ABMD/2015/page_53.pdf-4", "qa": {"question": "what is the roi of an investment in nasdaq composite index from march 2010 to march 2013?", "answer": "36.3%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "136.26", "arg2": "100", "res": "36.26"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "36.3%"}], "program": "subtract(136.26, 100), divide(#0, 100)", "gold_inds": {"table_2": "the nasdaq composite index of 3/31/2010 is 100 ; the nasdaq composite index of 3/31/2011 is 115.98 ; the nasdaq composite index of 3/31/2012 is 128.93 ; the nasdaq composite index of 3/31/2013 is 136.26 ; the nasdaq composite index of 3/31/2014 is 175.11 ; the nasdaq composite index of 3/31/2015 is 204.38 ;"}, "exe_ans": 0.3626, "tfidftopn": {"text_2": "the performance graph assumes the investment of $ 100 on march 31 , 2010 in our common stock , the nasdaq composite index ( u.s .", "text_0": "performance graph the following graph compares the yearly change in the cumulative total stockholder return for our last five full fiscal years , based upon the market price of our common stock , with the cumulative total return on a nasdaq composite index ( u.s ."}, "program_re": "divide(subtract(136.26, 100), 100)", "model_input": [["text_2", "the performance graph assumes the investment of $ 100 on march 31 , 2010 in our common stock , the nasdaq composite index ( u.s ."], ["table_2", "the nasdaq composite index of 3/31/2010 is 100 ; the nasdaq composite index of 3/31/2011 is 115.98 ; the nasdaq composite index of 3/31/2012 is 128.93 ; the nasdaq composite index of 3/31/2013 is 136.26 ; the nasdaq composite index of 3/31/2014 is 175.11 ; the nasdaq composite index of 3/31/2015 is 204.38 ;"], ["table_3", "the nasdaq medical equipment sic code 3840-3849 of 3/31/2010 is 100 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2011 is 108.31 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2012 is 115.05 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2013 is 105.56 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2014 is 123.18 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2015 is 118.95 ;"]]}, "answers": ["36.3%"]}, "rejected_source": {"id": "ABMD/2011/page_33.pdf-3", "qa": {"question": "what is the roi of an investment in nasdaq composite index from march 2006 to march 2009?", "answer": "-34.7%", "explanation": "", "ann_table_rows": [2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "65.33", "arg2": "100", "res": "-34.67"}, {"op": "divide2-2", "arg1": "#0", "arg2": "100", "res": "-34.7%"}], "program": "subtract(65.33, 100), divide(#0, 100)", "gold_inds": {"table_2": "the nasdaq composite index of 3/31/2006 is 100 ; the nasdaq composite index of 3/31/2007 is 103.50 ; the nasdaq composite index of 3/31/2008 is 97.41 ; the nasdaq composite index of 3/31/2009 is 65.33 ; the nasdaq composite index of 3/31/2010 is 102.49 ; the nasdaq composite index of 3/31/2011 is 118.86 ;"}, "exe_ans": -0.3467, "tfidftopn": {"text_2": "the performance graph assumes the investment of $ 100 on march 31 , 2006 in our common stock , the nasdaq composite index ( u.s .", "text_0": "performance graph the following graph compares the yearly change in the cumulative total stockholder return for our last five full fiscal years , based upon the market price of our common stock , with the cumulative total return on a nasdaq composite index ( u.s ."}, "program_re": "divide(subtract(65.33, 100), 100)", "model_input": [["text_2", "the performance graph assumes the investment of $ 100 on march 31 , 2006 in our common stock , the nasdaq composite index ( u.s ."], ["table_2", "the nasdaq composite index of 3/31/2006 is 100 ; the nasdaq composite index of 3/31/2007 is 103.50 ; the nasdaq composite index of 3/31/2008 is 97.41 ; the nasdaq composite index of 3/31/2009 is 65.33 ; the nasdaq composite index of 3/31/2010 is 102.49 ; the nasdaq composite index of 3/31/2011 is 118.86 ;"], ["table_3", "the nasdaq medical equipment sic code 3840-3849 of 3/31/2006 is 100 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2007 is 88.78 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2008 is 84.26 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2009 is 46.12 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2010 is 83.47 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2011 is 91.35 ;"]]}, "answers": ["-34.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001497", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total other income was rental income in 2007?\nReference time interval: 2007-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "59%.", "rejected": "70%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total other income was rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total other income was rental income <TIME>?", "original_question": "what percent of total other income was rental income in 2007?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"70%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "59%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "UNP/2007/page_79.pdf-3", "qa": {"question": "what percent of total other income was rental income in 2007?", "answer": "59%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "68", "arg2": "116", "res": "59%"}], "program": "divide(68, 116)", "gold_inds": {"table_1": "millions of dollars the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ;", "table_6": "millions of dollars the total of 2007 is $ 116 ; the total of 2006 is $ 118 ; the total of 2005 is $ 145 ;"}, "exe_ans": 0.58621, "tfidftopn": {"table_3": "millions of dollars The interest income of 2007 is 50 ; The interest income of 2006 is 29 ; The interest income of 2005 is 17 ;"}, "program_re": "divide(68, 116)", "model_input": [["table_1", "millions of dollars the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ;"], ["table_3", "millions of dollars the interest income of 2007 is 50 ; the interest income of 2006 is 29 ; the interest income of 2005 is 17 ;"], ["table_6", "millions of dollars the total of 2007 is $ 116 ; the total of 2006 is $ 118 ; the total of 2005 is $ 145 ;"]]}, "answers": ["59%"]}, "rejected_source": {"id": "UNP/2007/page_79.pdf-2", "qa": {"question": "what percent of total other income was rental income in 2006?", "answer": "70%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "83", "arg2": "118", "res": "70%"}], "program": "divide(83, 118)", "gold_inds": {"table_1": "millions of dollars the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ;", "table_6": "millions of dollars the total of 2007 is $ 116 ; the total of 2006 is $ 118 ; the total of 2005 is $ 145 ;"}, "exe_ans": 0.70339, "tfidftopn": {"table_3": "millions of dollars The interest income of 2007 is 50 ; The interest income of 2006 is 29 ; The interest income of 2005 is 17 ;"}, "program_re": "divide(83, 118)", "model_input": [["text_9", "other income other income included the following for the years ended december 31 : millions of dollars 2007 2006 2005 ."], ["table_1", "millions of dollars the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ;"], ["table_6", "millions of dollars the total of 2007 is $ 116 ; the total of 2006 is $ 118 ; the total of 2005 is $ 145 ;"]]}, "answers": ["70%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001498", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total other income was rental income in 2006?\nReference time interval: 2006-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "70%.", "rejected": "59%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total other income was rental income <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total other income was rental income <TIME>?", "original_question": "what percent of total other income was rental income in 2006?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"70%": [{"start": "2006-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "2006"}], "59%": [{"start": "2007-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "2007"}]}, "chosen_source": {"id": "UNP/2007/page_79.pdf-2", "qa": {"question": "what percent of total other income was rental income in 2006?", "answer": "70%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "83", "arg2": "118", "res": "70%"}], "program": "divide(83, 118)", "gold_inds": {"table_1": "millions of dollars the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ;", "table_6": "millions of dollars the total of 2007 is $ 116 ; the total of 2006 is $ 118 ; the total of 2005 is $ 145 ;"}, "exe_ans": 0.70339, "tfidftopn": {"table_3": "millions of dollars The interest income of 2007 is 50 ; The interest income of 2006 is 29 ; The interest income of 2005 is 17 ;"}, "program_re": "divide(83, 118)", "model_input": [["text_9", "other income other income included the following for the years ended december 31 : millions of dollars 2007 2006 2005 ."], ["table_1", "millions of dollars the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ;"], ["table_6", "millions of dollars the total of 2007 is $ 116 ; the total of 2006 is $ 118 ; the total of 2005 is $ 145 ;"]]}, "answers": ["70%"]}, "rejected_source": {"id": "UNP/2007/page_79.pdf-3", "qa": {"question": "what percent of total other income was rental income in 2007?", "answer": "59%", "explanation": "", "ann_table_rows": [1, 6], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "68", "arg2": "116", "res": "59%"}], "program": "divide(68, 116)", "gold_inds": {"table_1": "millions of dollars the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ;", "table_6": "millions of dollars the total of 2007 is $ 116 ; the total of 2006 is $ 118 ; the total of 2005 is $ 145 ;"}, "exe_ans": 0.58621, "tfidftopn": {"table_3": "millions of dollars The interest income of 2007 is 50 ; The interest income of 2006 is 29 ; The interest income of 2005 is 17 ;"}, "program_re": "divide(68, 116)", "model_input": [["table_1", "millions of dollars the rental income of 2007 is $ 68 ; the rental income of 2006 is $ 83 ; the rental income of 2005 is $ 59 ;"], ["table_3", "millions of dollars the interest income of 2007 is 50 ; the interest income of 2006 is 29 ; the interest income of 2005 is 17 ;"], ["table_6", "millions of dollars the total of 2007 is $ 116 ; the total of 2006 is $ 118 ; the total of 2005 is $ 145 ;"]]}, "answers": ["59%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001499", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in research and development net in millions from 2017 to 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-10.", "rejected": "-2.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the change in research and development net in millions <TIME>?", "doc_prefix": "PPG", "base_question": "what was the change in research and development net in millions <TIME>?", "original_question": "what was the change in research and development net in millions from 2017 to 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-10": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "PPG/2018/page_54.pdf-3", "qa": {"question": "what was the change in research and development net in millions from 2017 to 2018?", "answer": "-10", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "441", "arg2": "451", "res": "-10"}], "program": "subtract(441, 451)", "gold_inds": {"table_3": "( $ in millions ) the research and development net of 2018 is $ 441 ; the research and development net of 2017 is $ 451 ; the research and development net of 2016 is $ 453 ;"}, "exe_ans": -10.0, "tfidftopn": {"table_1": "( $ in millions ) The research and development 2013 total of 2018 is $ 464 ; The research and development 2013 total of 2017 is $ 472 ; The research and development 2013 total of 2016 is $ 473 ;", "text_20": "research and development research and development costs , which consist primarily of employee related costs , are charged to expense as incurred. ."}, "program_re": "subtract(441, 451)", "model_input": [["text_12", "actual outcomes could differ from those estimates ."], ["table_1", "( $ in millions ) the research and development 2013 total of 2018 is $ 464 ; the research and development 2013 total of 2017 is $ 472 ; the research and development 2013 total of 2016 is $ 473 ;"], ["table_3", "( $ in millions ) the research and development net of 2018 is $ 441 ; the research and development net of 2017 is $ 451 ; the research and development net of 2016 is $ 453 ;"]]}, "answers": ["-10"]}, "rejected_source": {"id": "PPG/2018/page_54.pdf-4", "qa": {"question": "what was the change in research and development net in millions from 2016 to 2017?", "answer": "-2", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "451", "arg2": "453", "res": "-2"}], "program": "subtract(451, 453)", "gold_inds": {"table_3": "( $ in millions ) the research and development net of 2018 is $ 441 ; the research and development net of 2017 is $ 451 ; the research and development net of 2016 is $ 453 ;"}, "exe_ans": -2.0, "tfidftopn": {"table_1": "( $ in millions ) The research and development 2013 total of 2018 is $ 464 ; The research and development 2013 total of 2017 is $ 472 ; The research and development 2013 total of 2016 is $ 473 ;", "table_2": "( $ in millions ) The less depreciation on research facilities of 2018 is 23 ; The less depreciation on research facilities of 2017 is 21 ; The less depreciation on research facilities of 2016 is 20 ;"}, "program_re": "subtract(451, 453)", "model_input": [["text_12", "actual outcomes could differ from those estimates ."], ["table_1", "( $ in millions ) the research and development 2013 total of 2018 is $ 464 ; the research and development 2013 total of 2017 is $ 472 ; the research and development 2013 total of 2016 is $ 473 ;"], ["table_3", "( $ in millions ) the research and development net of 2018 is $ 441 ; the research and development net of 2017 is $ 451 ; the research and development net of 2016 is $ 453 ;"]]}, "answers": ["-2"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001500", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in research and development net in millions from 2016 to 2017?\nReference time interval: 2016-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "-2.", "rejected": "-10.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the change in research and development net in millions <TIME>?", "doc_prefix": "PPG", "base_question": "what was the change in research and development net in millions <TIME>?", "original_question": "what was the change in research and development net in millions from 2016 to 2017?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-2": [{"start": "2016-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "from 2016 to 2017"}], "-10": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "PPG/2018/page_54.pdf-4", "qa": {"question": "what was the change in research and development net in millions from 2016 to 2017?", "answer": "-2", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "451", "arg2": "453", "res": "-2"}], "program": "subtract(451, 453)", "gold_inds": {"table_3": "( $ in millions ) the research and development net of 2018 is $ 441 ; the research and development net of 2017 is $ 451 ; the research and development net of 2016 is $ 453 ;"}, "exe_ans": -2.0, "tfidftopn": {"table_1": "( $ in millions ) The research and development 2013 total of 2018 is $ 464 ; The research and development 2013 total of 2017 is $ 472 ; The research and development 2013 total of 2016 is $ 473 ;", "table_2": "( $ in millions ) The less depreciation on research facilities of 2018 is 23 ; The less depreciation on research facilities of 2017 is 21 ; The less depreciation on research facilities of 2016 is 20 ;"}, "program_re": "subtract(451, 453)", "model_input": [["text_12", "actual outcomes could differ from those estimates ."], ["table_1", "( $ in millions ) the research and development 2013 total of 2018 is $ 464 ; the research and development 2013 total of 2017 is $ 472 ; the research and development 2013 total of 2016 is $ 473 ;"], ["table_3", "( $ in millions ) the research and development net of 2018 is $ 441 ; the research and development net of 2017 is $ 451 ; the research and development net of 2016 is $ 453 ;"]]}, "answers": ["-2"]}, "rejected_source": {"id": "PPG/2018/page_54.pdf-3", "qa": {"question": "what was the change in research and development net in millions from 2017 to 2018?", "answer": "-10", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "441", "arg2": "451", "res": "-10"}], "program": "subtract(441, 451)", "gold_inds": {"table_3": "( $ in millions ) the research and development net of 2018 is $ 441 ; the research and development net of 2017 is $ 451 ; the research and development net of 2016 is $ 453 ;"}, "exe_ans": -10.0, "tfidftopn": {"table_1": "( $ in millions ) The research and development 2013 total of 2018 is $ 464 ; The research and development 2013 total of 2017 is $ 472 ; The research and development 2013 total of 2016 is $ 473 ;", "text_20": "research and development research and development costs , which consist primarily of employee related costs , are charged to expense as incurred. ."}, "program_re": "subtract(441, 451)", "model_input": [["text_12", "actual outcomes could differ from those estimates ."], ["table_1", "( $ in millions ) the research and development 2013 total of 2018 is $ 464 ; the research and development 2013 total of 2017 is $ 472 ; the research and development 2013 total of 2016 is $ 473 ;"], ["table_3", "( $ in millions ) the research and development net of 2018 is $ 441 ; the research and development net of 2017 is $ 451 ; the research and development net of 2016 is $ 453 ;"]]}, "answers": ["-10"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001501", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of cash provided by operating activities were dividends paid in 2012?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "19%.", "rejected": "20%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of cash provided by operating activities were dividends paid <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of cash provided by operating activities were dividends paid <TIME>?", "original_question": "what percentage of cash provided by operating activities were dividends paid in 2012?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"19%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "20%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "UNP/2013/page_24.pdf-3", "qa": {"question": "what percentage of cash provided by operating activities were dividends paid in 2012?", "answer": "19%", "explanation": "looking to see what kind of cash coverage the firm has to pay its dividend from its operations .", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1146", "arg2": "6161", "res": "19%"}], "program": "divide(1146, 6161)", "gold_inds": {"table_1": "millions the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ;", "table_3": "millions the dividends paid of 2013 is -1333 ( 1333 ) ; the dividends paid of 2012 is -1146 ( 1146 ) ; the dividends paid of 2011 is -837 ( 837 ) ;"}, "exe_ans": 0.18601, "tfidftopn": {"text_1": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(1146, 6161)", "model_input": [["table_1", "millions the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ;"], ["table_2", "millions the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ;"], ["table_3", "millions the dividends paid of 2013 is -1333 ( 1333 ) ; the dividends paid of 2012 is -1146 ( 1146 ) ; the dividends paid of 2011 is -837 ( 837 ) ;"]]}, "answers": ["19%"]}, "rejected_source": {"id": "UNP/2013/page_24.pdf-2", "qa": {"question": "what percentage of cash provided by operating activities were dividends paid in 2013?", "answer": "20%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1333", "arg2": "6823", "res": "20%"}], "program": "divide(1333, 6823)", "gold_inds": {"table_1": "millions the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ;", "table_3": "millions the dividends paid of 2013 is -1333 ( 1333 ) ; the dividends paid of 2012 is -1146 ( 1146 ) ; the dividends paid of 2011 is -837 ( 837 ) ;"}, "exe_ans": 0.19537, "tfidftopn": {"text_1": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(1333, 6823)", "model_input": [["table_1", "millions the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ;"], ["table_2", "millions the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ;"], ["table_3", "millions the dividends paid of 2013 is -1333 ( 1333 ) ; the dividends paid of 2012 is -1146 ( 1146 ) ; the dividends paid of 2011 is -837 ( 837 ) ;"]]}, "answers": ["20%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001502", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of cash provided by operating activities were dividends paid in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "20%.", "rejected": "19%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of cash provided by operating activities were dividends paid <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of cash provided by operating activities were dividends paid <TIME>?", "original_question": "what percentage of cash provided by operating activities were dividends paid in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"19%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "20%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "UNP/2013/page_24.pdf-2", "qa": {"question": "what percentage of cash provided by operating activities were dividends paid in 2013?", "answer": "20%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1333", "arg2": "6823", "res": "20%"}], "program": "divide(1333, 6823)", "gold_inds": {"table_1": "millions the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ;", "table_3": "millions the dividends paid of 2013 is -1333 ( 1333 ) ; the dividends paid of 2012 is -1146 ( 1146 ) ; the dividends paid of 2011 is -837 ( 837 ) ;"}, "exe_ans": 0.19537, "tfidftopn": {"text_1": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(1333, 6823)", "model_input": [["table_1", "millions the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ;"], ["table_2", "millions the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ;"], ["table_3", "millions the dividends paid of 2013 is -1333 ( 1333 ) ; the dividends paid of 2012 is -1146 ( 1146 ) ; the dividends paid of 2011 is -837 ( 837 ) ;"]]}, "answers": ["20%"]}, "rejected_source": {"id": "UNP/2013/page_24.pdf-3", "qa": {"question": "what percentage of cash provided by operating activities were dividends paid in 2012?", "answer": "19%", "explanation": "looking to see what kind of cash coverage the firm has to pay its dividend from its operations .", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "1146", "arg2": "6161", "res": "19%"}], "program": "divide(1146, 6161)", "gold_inds": {"table_1": "millions the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ;", "table_3": "millions the dividends paid of 2013 is -1333 ( 1333 ) ; the dividends paid of 2012 is -1146 ( 1146 ) ; the dividends paid of 2011 is -837 ( 837 ) ;"}, "exe_ans": 0.18601, "tfidftopn": {"text_1": "free cash flow is defined as cash provided by operating activities less cash used in investing activities and dividends paid ."}, "program_re": "divide(1146, 6161)", "model_input": [["table_1", "millions the cash provided by operating activities of 2013 is $ 6823 ; the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ;"], ["table_2", "millions the cash used in investing activities of 2013 is -3405 ( 3405 ) ; the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ;"], ["table_3", "millions the dividends paid of 2013 is -1333 ( 1333 ) ; the dividends paid of 2012 is -1146 ( 1146 ) ; the dividends paid of 2011 is -837 ( 837 ) ;"]]}, "answers": ["19%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001503", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of total multi-asset is related to target date/risk as of december 31 , 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "32.7%.", "rejected": "48.4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what portion of total multi-asset is related to target date/risk as of december 31 , <TIME>?", "doc_prefix": "BLK", "base_question": "what portion of total multi-asset is related to target date/risk as of december 31 , <TIME>?", "original_question": "what portion of total multi-asset is related to target date/risk as of december 31 , 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"32.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "48.4%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "BLK/2014/page_33.pdf-4", "qa": {"question": "what portion of total multi-asset is related to target date/risk as of december 31 , 2013?", "answer": "32.7%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "111408", "arg2": "341214", "res": "32.7%"}], "program": "divide(111408, 341214)", "gold_inds": {"table_2": "( in millions ) the target date/risk of december 31 2013 is 111408 ; the target date/risk of net inflows ( outflows ) is 10992 ; the target date/risk of market change is 7083 ; the target date/risk of fx impact is -872 ( 872 ) ; the target date/risk of december 31 2014 is 128611 ;", "table_4": "( in millions ) the multi-asset of december 31 2013 is $ 341214 ; the multi-asset of net inflows ( outflows ) is $ 28905 ; the multi-asset of market change is $ 21044 ; the multi-asset of fx impact is $ -13326 ( 13326 ) ; the multi-asset of december 31 2014 is $ 377837 ;"}, "exe_ans": 0.3265, "tfidftopn": {"text_25": "( in millions ) december 31 , 2013 net inflows ( outflows ) market change fx impact december 31 , 2014 ."}, "program_re": "divide(111408, 341214)", "model_input": [["text_25", "( in millions ) december 31 , 2013 net inflows ( outflows ) market change fx impact december 31 , 2014 ."], ["table_2", "( in millions ) the target date/risk of december 31 2013 is 111408 ; the target date/risk of net inflows ( outflows ) is 10992 ; the target date/risk of market change is 7083 ; the target date/risk of fx impact is -872 ( 872 ) ; the target date/risk of december 31 2014 is 128611 ;"], ["table_4", "( in millions ) the multi-asset of december 31 2013 is $ 341214 ; the multi-asset of net inflows ( outflows ) is $ 28905 ; the multi-asset of market change is $ 21044 ; the multi-asset of fx impact is $ -13326 ( 13326 ) ; the multi-asset of december 31 2014 is $ 377837 ;"]]}, "answers": ["32.7%"]}, "rejected_source": {"id": "BLK/2014/page_33.pdf-3", "qa": {"question": "what portion of total multi-asset is related to target date/risk as of december 31 , 2014?", "answer": "48.4%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "183032", "arg2": "377837", "res": "48.4%"}], "program": "divide(183032, 377837)", "gold_inds": {"table_2": "( in millions ) the target date/risk of december 31 2013 is 111408 ; the target date/risk of net inflows ( outflows ) is 10992 ; the target date/risk of market change is 7083 ; the target date/risk of fx impact is -872 ( 872 ) ; the target date/risk of december 31 2014 is 128611 ;", "table_4": "( in millions ) the multi-asset of december 31 2013 is $ 341214 ; the multi-asset of net inflows ( outflows ) is $ 28905 ; the multi-asset of market change is $ 21044 ; the multi-asset of fx impact is $ -13326 ( 13326 ) ; the multi-asset of december 31 2014 is $ 377837 ;", "table_1": "( in millions ) the asset allocation and balanced of december 31 2013 is $ 169604 ; the asset allocation and balanced of net inflows ( outflows ) is $ 18387 ; the asset allocation and balanced of market change is $ -827 ( 827 ) ; the asset allocation and balanced of fx impact is $ -4132 ( 4132 ) ; the asset allocation and balanced of december 31 2014 is $ 183032 ;"}, "exe_ans": 0.48442, "tfidftopn": {}, "program_re": "divide(183032, 377837)", "model_input": [["table_1", "( in millions ) the asset allocation and balanced of december 31 2013 is $ 169604 ; the asset allocation and balanced of net inflows ( outflows ) is $ 18387 ; the asset allocation and balanced of market change is $ -827 ( 827 ) ; the asset allocation and balanced of fx impact is $ -4132 ( 4132 ) ; the asset allocation and balanced of december 31 2014 is $ 183032 ;"], ["table_2", "( in millions ) the target date/risk of december 31 2013 is 111408 ; the target date/risk of net inflows ( outflows ) is 10992 ; the target date/risk of market change is 7083 ; the target date/risk of fx impact is -872 ( 872 ) ; the target date/risk of december 31 2014 is 128611 ;"], ["table_4", "( in millions ) the multi-asset of december 31 2013 is $ 341214 ; the multi-asset of net inflows ( outflows ) is $ 28905 ; the multi-asset of market change is $ 21044 ; the multi-asset of fx impact is $ -13326 ( 13326 ) ; the multi-asset of december 31 2014 is $ 377837 ;"]]}, "answers": ["48.4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001504", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what portion of total multi-asset is related to target date/risk as of december 31 , 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "48.4%.", "rejected": "32.7%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what portion of total multi-asset is related to target date/risk as of december 31 , <TIME>?", "doc_prefix": "BLK", "base_question": "what portion of total multi-asset is related to target date/risk as of december 31 , <TIME>?", "original_question": "what portion of total multi-asset is related to target date/risk as of december 31 , 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"32.7%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "48.4%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "BLK/2014/page_33.pdf-3", "qa": {"question": "what portion of total multi-asset is related to target date/risk as of december 31 , 2014?", "answer": "48.4%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "183032", "arg2": "377837", "res": "48.4%"}], "program": "divide(183032, 377837)", "gold_inds": {"table_2": "( in millions ) the target date/risk of december 31 2013 is 111408 ; the target date/risk of net inflows ( outflows ) is 10992 ; the target date/risk of market change is 7083 ; the target date/risk of fx impact is -872 ( 872 ) ; the target date/risk of december 31 2014 is 128611 ;", "table_4": "( in millions ) the multi-asset of december 31 2013 is $ 341214 ; the multi-asset of net inflows ( outflows ) is $ 28905 ; the multi-asset of market change is $ 21044 ; the multi-asset of fx impact is $ -13326 ( 13326 ) ; the multi-asset of december 31 2014 is $ 377837 ;", "table_1": "( in millions ) the asset allocation and balanced of december 31 2013 is $ 169604 ; the asset allocation and balanced of net inflows ( outflows ) is $ 18387 ; the asset allocation and balanced of market change is $ -827 ( 827 ) ; the asset allocation and balanced of fx impact is $ -4132 ( 4132 ) ; the asset allocation and balanced of december 31 2014 is $ 183032 ;"}, "exe_ans": 0.48442, "tfidftopn": {}, "program_re": "divide(183032, 377837)", "model_input": [["table_1", "( in millions ) the asset allocation and balanced of december 31 2013 is $ 169604 ; the asset allocation and balanced of net inflows ( outflows ) is $ 18387 ; the asset allocation and balanced of market change is $ -827 ( 827 ) ; the asset allocation and balanced of fx impact is $ -4132 ( 4132 ) ; the asset allocation and balanced of december 31 2014 is $ 183032 ;"], ["table_2", "( in millions ) the target date/risk of december 31 2013 is 111408 ; the target date/risk of net inflows ( outflows ) is 10992 ; the target date/risk of market change is 7083 ; the target date/risk of fx impact is -872 ( 872 ) ; the target date/risk of december 31 2014 is 128611 ;"], ["table_4", "( in millions ) the multi-asset of december 31 2013 is $ 341214 ; the multi-asset of net inflows ( outflows ) is $ 28905 ; the multi-asset of market change is $ 21044 ; the multi-asset of fx impact is $ -13326 ( 13326 ) ; the multi-asset of december 31 2014 is $ 377837 ;"]]}, "answers": ["48.4%"]}, "rejected_source": {"id": "BLK/2014/page_33.pdf-4", "qa": {"question": "what portion of total multi-asset is related to target date/risk as of december 31 , 2013?", "answer": "32.7%", "explanation": "", "ann_table_rows": [2, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "111408", "arg2": "341214", "res": "32.7%"}], "program": "divide(111408, 341214)", "gold_inds": {"table_2": "( in millions ) the target date/risk of december 31 2013 is 111408 ; the target date/risk of net inflows ( outflows ) is 10992 ; the target date/risk of market change is 7083 ; the target date/risk of fx impact is -872 ( 872 ) ; the target date/risk of december 31 2014 is 128611 ;", "table_4": "( in millions ) the multi-asset of december 31 2013 is $ 341214 ; the multi-asset of net inflows ( outflows ) is $ 28905 ; the multi-asset of market change is $ 21044 ; the multi-asset of fx impact is $ -13326 ( 13326 ) ; the multi-asset of december 31 2014 is $ 377837 ;"}, "exe_ans": 0.3265, "tfidftopn": {"text_25": "( in millions ) december 31 , 2013 net inflows ( outflows ) market change fx impact december 31 , 2014 ."}, "program_re": "divide(111408, 341214)", "model_input": [["text_25", "( in millions ) december 31 , 2013 net inflows ( outflows ) market change fx impact december 31 , 2014 ."], ["table_2", "( in millions ) the target date/risk of december 31 2013 is 111408 ; the target date/risk of net inflows ( outflows ) is 10992 ; the target date/risk of market change is 7083 ; the target date/risk of fx impact is -872 ( 872 ) ; the target date/risk of december 31 2014 is 128611 ;"], ["table_4", "( in millions ) the multi-asset of december 31 2013 is $ 341214 ; the multi-asset of net inflows ( outflows ) is $ 28905 ; the multi-asset of market change is $ 21044 ; the multi-asset of fx impact is $ -13326 ( 13326 ) ; the multi-asset of december 31 2014 is $ 377837 ;"]]}, "answers": ["32.7%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001505", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in other income from 2004 to 2005 in millions?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "-27.", "rejected": "57.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the net change in other income <TIME> in millions?", "doc_prefix": "UNP", "base_question": "what was the net change in other income <TIME> in millions?", "original_question": "what was the net change in other income from 2004 to 2005 in millions?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"57": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "-27": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}]}, "chosen_source": {"id": "UNP/2006/page_33.pdf-3", "qa": {"question": "what was the net change in other income from 2004 to 2005 in millions?", "answer": "-27", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "118", "arg2": "145", "res": "-27"}], "program": "subtract(118, 145)", "gold_inds": {"table_1": "millions of dollars the other income of 2006 is $ 118 ; the other income of 2005 is $ 145 ; the other income of 2004 is $ 88 ; the other income of % ( % ) change 2006 v 2005 is ( 19 ) % ( % ) ; the other income of % ( % ) change 2005 v 2004 is 65% ( 65 % ) ;"}, "exe_ans": -27.0, "tfidftopn": {"text_5": "non-operating items millions of dollars 2006 2005 2004 % (  % ) change 2006 v 2005 % (  % ) change 2005 v 2004 .", "table_3": "millions of dollars The income taxes of 2006 is -919 ( 919 ) ; The income taxes of 2005 is -410 ( 410 ) ; The income taxes of 2004 is -252 ( 252 ) ; The income taxes of % ( % ) change 2006 v 2005 is 124 ; The income taxes of % ( % ) change 2005 v 2004 is 63 ;"}, "program_re": "subtract(118, 145)", "model_input": [["table_1", "millions of dollars the other income of 2006 is $ 118 ; the other income of 2005 is $ 145 ; the other income of 2004 is $ 88 ; the other income of % ( % ) change 2006 v 2005 is ( 19 ) % ( % ) ; the other income of % ( % ) change 2005 v 2004 is 65% ( 65 % ) ;"], ["table_2", "millions of dollars the interest expense of 2006 is -477 ( 477 ) ; the interest expense of 2005 is -504 ( 504 ) ; the interest expense of 2004 is -527 ( 527 ) ; the interest expense of % ( % ) change 2006 v 2005 is -5 ( 5 ) ; the interest expense of % ( % ) change 2005 v 2004 is -4 ( 4 ) ;"], ["table_3", "millions of dollars the income taxes of 2006 is -919 ( 919 ) ; the income taxes of 2005 is -410 ( 410 ) ; the income taxes of 2004 is -252 ( 252 ) ; the income taxes of % ( % ) change 2006 v 2005 is 124 ; the income taxes of % ( % ) change 2005 v 2004 is 63 ;"]]}, "answers": ["-27"]}, "rejected_source": {"id": "UNP/2006/page_33.pdf-2", "qa": {"question": "what was the net change in other income from 2004 to 2005 in millions?", "answer": "57", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "145", "arg2": "88", "res": "57"}], "program": "subtract(145, 88)", "gold_inds": {"table_1": "millions of dollars the other income of 2006 is $ 118 ; the other income of 2005 is $ 145 ; the other income of 2004 is $ 88 ; the other income of % ( % ) change 2006 v 2005 is ( 19 ) % ( % ) ; the other income of % ( % ) change 2005 v 2004 is 65% ( 65 % ) ;"}, "exe_ans": 57.0, "tfidftopn": {"text_5": "non-operating items millions of dollars 2006 2005 2004 % (  % ) change 2006 v 2005 % (  % ) change 2005 v 2004 .", "table_3": "millions of dollars The income taxes of 2006 is -919 ( 919 ) ; The income taxes of 2005 is -410 ( 410 ) ; The income taxes of 2004 is -252 ( 252 ) ; The income taxes of % ( % ) change 2006 v 2005 is 124 ; The income taxes of % ( % ) change 2005 v 2004 is 63 ;"}, "program_re": "subtract(145, 88)", "model_input": [["table_1", "millions of dollars the other income of 2006 is $ 118 ; the other income of 2005 is $ 145 ; the other income of 2004 is $ 88 ; the other income of % ( % ) change 2006 v 2005 is ( 19 ) % ( % ) ; the other income of % ( % ) change 2005 v 2004 is 65% ( 65 % ) ;"], ["table_2", "millions of dollars the interest expense of 2006 is -477 ( 477 ) ; the interest expense of 2005 is -504 ( 504 ) ; the interest expense of 2004 is -527 ( 527 ) ; the interest expense of % ( % ) change 2006 v 2005 is -5 ( 5 ) ; the interest expense of % ( % ) change 2005 v 2004 is -4 ( 4 ) ;"], ["table_3", "millions of dollars the income taxes of 2006 is -919 ( 919 ) ; the income taxes of 2005 is -410 ( 410 ) ; the income taxes of 2004 is -252 ( 252 ) ; the income taxes of % ( % ) change 2006 v 2005 is 124 ; the income taxes of % ( % ) change 2005 v 2004 is 63 ;"]]}, "answers": ["57"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001506", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the net change in other income from 2004 to 2005 in millions?\nReference time interval: 2004-01-01 00:00:00 to 2006-01-01 00:00:00", "chosen": "57.", "rejected": "-27.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the net change in other income <TIME> in millions?", "doc_prefix": "UNP", "base_question": "what was the net change in other income <TIME> in millions?", "original_question": "what was the net change in other income from 2004 to 2005 in millions?", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"57": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}], "-27": [{"start": "2004-01-01 00:00:00", "end": "2006-01-01 00:00:00", "normalized_text": "from 2004 to 2005"}]}, "chosen_source": {"id": "UNP/2006/page_33.pdf-2", "qa": {"question": "what was the net change in other income from 2004 to 2005 in millions?", "answer": "57", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "145", "arg2": "88", "res": "57"}], "program": "subtract(145, 88)", "gold_inds": {"table_1": "millions of dollars the other income of 2006 is $ 118 ; the other income of 2005 is $ 145 ; the other income of 2004 is $ 88 ; the other income of % ( % ) change 2006 v 2005 is ( 19 ) % ( % ) ; the other income of % ( % ) change 2005 v 2004 is 65% ( 65 % ) ;"}, "exe_ans": 57.0, "tfidftopn": {"text_5": "non-operating items millions of dollars 2006 2005 2004 % (  % ) change 2006 v 2005 % (  % ) change 2005 v 2004 .", "table_3": "millions of dollars The income taxes of 2006 is -919 ( 919 ) ; The income taxes of 2005 is -410 ( 410 ) ; The income taxes of 2004 is -252 ( 252 ) ; The income taxes of % ( % ) change 2006 v 2005 is 124 ; The income taxes of % ( % ) change 2005 v 2004 is 63 ;"}, "program_re": "subtract(145, 88)", "model_input": [["table_1", "millions of dollars the other income of 2006 is $ 118 ; the other income of 2005 is $ 145 ; the other income of 2004 is $ 88 ; the other income of % ( % ) change 2006 v 2005 is ( 19 ) % ( % ) ; the other income of % ( % ) change 2005 v 2004 is 65% ( 65 % ) ;"], ["table_2", "millions of dollars the interest expense of 2006 is -477 ( 477 ) ; the interest expense of 2005 is -504 ( 504 ) ; the interest expense of 2004 is -527 ( 527 ) ; the interest expense of % ( % ) change 2006 v 2005 is -5 ( 5 ) ; the interest expense of % ( % ) change 2005 v 2004 is -4 ( 4 ) ;"], ["table_3", "millions of dollars the income taxes of 2006 is -919 ( 919 ) ; the income taxes of 2005 is -410 ( 410 ) ; the income taxes of 2004 is -252 ( 252 ) ; the income taxes of % ( % ) change 2006 v 2005 is 124 ; the income taxes of % ( % ) change 2005 v 2004 is 63 ;"]]}, "answers": ["57"]}, "rejected_source": {"id": "UNP/2006/page_33.pdf-3", "qa": {"question": "what was the net change in other income from 2004 to 2005 in millions?", "answer": "-27", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "118", "arg2": "145", "res": "-27"}], "program": "subtract(118, 145)", "gold_inds": {"table_1": "millions of dollars the other income of 2006 is $ 118 ; the other income of 2005 is $ 145 ; the other income of 2004 is $ 88 ; the other income of % ( % ) change 2006 v 2005 is ( 19 ) % ( % ) ; the other income of % ( % ) change 2005 v 2004 is 65% ( 65 % ) ;"}, "exe_ans": -27.0, "tfidftopn": {"text_5": "non-operating items millions of dollars 2006 2005 2004 % (  % ) change 2006 v 2005 % (  % ) change 2005 v 2004 .", "table_3": "millions of dollars The income taxes of 2006 is -919 ( 919 ) ; The income taxes of 2005 is -410 ( 410 ) ; The income taxes of 2004 is -252 ( 252 ) ; The income taxes of % ( % ) change 2006 v 2005 is 124 ; The income taxes of % ( % ) change 2005 v 2004 is 63 ;"}, "program_re": "subtract(118, 145)", "model_input": [["table_1", "millions of dollars the other income of 2006 is $ 118 ; the other income of 2005 is $ 145 ; the other income of 2004 is $ 88 ; the other income of % ( % ) change 2006 v 2005 is ( 19 ) % ( % ) ; the other income of % ( % ) change 2005 v 2004 is 65% ( 65 % ) ;"], ["table_2", "millions of dollars the interest expense of 2006 is -477 ( 477 ) ; the interest expense of 2005 is -504 ( 504 ) ; the interest expense of 2004 is -527 ( 527 ) ; the interest expense of % ( % ) change 2006 v 2005 is -5 ( 5 ) ; the interest expense of % ( % ) change 2005 v 2004 is -4 ( 4 ) ;"], ["table_3", "millions of dollars the income taxes of 2006 is -919 ( 919 ) ; the income taxes of 2005 is -410 ( 410 ) ; the income taxes of 2004 is -252 ( 252 ) ; the income taxes of % ( % ) change 2006 v 2005 is 124 ; the income taxes of % ( % ) change 2005 v 2004 is 63 ;"]]}, "answers": ["-27"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001507", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in research and development 2013 total from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-1%.", "rejected": "6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in research and development <TIME> total <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in research and development <TIME> total <TIME>?", "original_question": "what was the percentage change in research and development 2013 total from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-1%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "PPG/2015/page_40.pdf-3", "qa": {"question": "what was the percentage change in research and development 2013 total from 2014 to 2015?", "answer": "-1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "505", "arg2": "509", "res": "-4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "509", "res": "-1%"}], "program": "subtract(505, 509), divide(#0, 509)", "gold_inds": {"table_1": "( $ in millions ) the research and development 2013 total of 2015 is $ 505 ; the research and development 2013 total of 2014 is $ 509 ; the research and development 2013 total of 2013 is $ 479 ;"}, "exe_ans": -0.00786, "tfidftopn": {"table_3": "( $ in millions ) The research and development net of 2015 is $ 486 ; The research and development net of 2014 is $ 492 ; The research and development net of 2013 is $ 463 ;", "text_20": "research and development research and development costs , which consist primarily of employee related costs , are charged to expense as incurred. ."}, "program_re": "divide(subtract(505, 509), 509)", "model_input": [["table_1", "( $ in millions ) the research and development 2013 total of 2015 is $ 505 ; the research and development 2013 total of 2014 is $ 509 ; the research and development 2013 total of 2013 is $ 479 ;"], ["table_3", "( $ in millions ) the research and development net of 2015 is $ 486 ; the research and development net of 2014 is $ 492 ; the research and development net of 2013 is $ 463 ;"], ["text_30", "marketable equity securities the company 2019s investment in marketable equity securities is recorded at fair market value and reported in 201cother current assets 201d and 201cinvestments 201d in the accompanying consolidated balance sheet with changes in fair market value recorded in income for those securities designated as trading securities and in other comprehensive income , net of tax , for those designated as available for sale securities. ."]]}, "answers": ["-1%"]}, "rejected_source": {"id": "PPG/2015/page_40.pdf-4", "qa": {"question": "what was the percentage change in research and development 2013 total from 2013 to 2014?", "answer": "6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "509", "arg2": "479", "res": "30"}, {"op": "divide1-2", "arg1": "#0", "arg2": "479", "res": "6%"}], "program": "subtract(509, 479), divide(#0, 479)", "gold_inds": {"table_1": "( $ in millions ) the research and development 2013 total of 2015 is $ 505 ; the research and development 2013 total of 2014 is $ 509 ; the research and development 2013 total of 2013 is $ 479 ;"}, "exe_ans": 0.06263, "tfidftopn": {"table_3": "( $ in millions ) The research and development net of 2015 is $ 486 ; The research and development net of 2014 is $ 492 ; The research and development net of 2013 is $ 463 ;", "text_20": "research and development research and development costs , which consist primarily of employee related costs , are charged to expense as incurred. ."}, "program_re": "divide(subtract(509, 479), 479)", "model_input": [["table_1", "( $ in millions ) the research and development 2013 total of 2015 is $ 505 ; the research and development 2013 total of 2014 is $ 509 ; the research and development 2013 total of 2013 is $ 479 ;"], ["table_3", "( $ in millions ) the research and development net of 2015 is $ 486 ; the research and development net of 2014 is $ 492 ; the research and development net of 2013 is $ 463 ;"], ["text_30", "marketable equity securities the company 2019s investment in marketable equity securities is recorded at fair market value and reported in 201cother current assets 201d and 201cinvestments 201d in the accompanying consolidated balance sheet with changes in fair market value recorded in income for those securities designated as trading securities and in other comprehensive income , net of tax , for those designated as available for sale securities. ."]]}, "answers": ["6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001508", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in research and development 2013 total from 2013 to 2014?\nReference time interval: 2013-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "6%.", "rejected": "-1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in research and development <TIME> total <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in research and development <TIME> total <TIME>?", "original_question": "what was the percentage change in research and development 2013 total from 2013 to 2014?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6%": [{"start": "2013-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "from 2013 to 2014"}], "-1%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}]}, "chosen_source": {"id": "PPG/2015/page_40.pdf-4", "qa": {"question": "what was the percentage change in research and development 2013 total from 2013 to 2014?", "answer": "6%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "509", "arg2": "479", "res": "30"}, {"op": "divide1-2", "arg1": "#0", "arg2": "479", "res": "6%"}], "program": "subtract(509, 479), divide(#0, 479)", "gold_inds": {"table_1": "( $ in millions ) the research and development 2013 total of 2015 is $ 505 ; the research and development 2013 total of 2014 is $ 509 ; the research and development 2013 total of 2013 is $ 479 ;"}, "exe_ans": 0.06263, "tfidftopn": {"table_3": "( $ in millions ) The research and development net of 2015 is $ 486 ; The research and development net of 2014 is $ 492 ; The research and development net of 2013 is $ 463 ;", "text_20": "research and development research and development costs , which consist primarily of employee related costs , are charged to expense as incurred. ."}, "program_re": "divide(subtract(509, 479), 479)", "model_input": [["table_1", "( $ in millions ) the research and development 2013 total of 2015 is $ 505 ; the research and development 2013 total of 2014 is $ 509 ; the research and development 2013 total of 2013 is $ 479 ;"], ["table_3", "( $ in millions ) the research and development net of 2015 is $ 486 ; the research and development net of 2014 is $ 492 ; the research and development net of 2013 is $ 463 ;"], ["text_30", "marketable equity securities the company 2019s investment in marketable equity securities is recorded at fair market value and reported in 201cother current assets 201d and 201cinvestments 201d in the accompanying consolidated balance sheet with changes in fair market value recorded in income for those securities designated as trading securities and in other comprehensive income , net of tax , for those designated as available for sale securities. ."]]}, "answers": ["6%"]}, "rejected_source": {"id": "PPG/2015/page_40.pdf-3", "qa": {"question": "what was the percentage change in research and development 2013 total from 2014 to 2015?", "answer": "-1%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "505", "arg2": "509", "res": "-4"}, {"op": "divide2-2", "arg1": "#0", "arg2": "509", "res": "-1%"}], "program": "subtract(505, 509), divide(#0, 509)", "gold_inds": {"table_1": "( $ in millions ) the research and development 2013 total of 2015 is $ 505 ; the research and development 2013 total of 2014 is $ 509 ; the research and development 2013 total of 2013 is $ 479 ;"}, "exe_ans": -0.00786, "tfidftopn": {"table_3": "( $ in millions ) The research and development net of 2015 is $ 486 ; The research and development net of 2014 is $ 492 ; The research and development net of 2013 is $ 463 ;", "text_20": "research and development research and development costs , which consist primarily of employee related costs , are charged to expense as incurred. ."}, "program_re": "divide(subtract(505, 509), 509)", "model_input": [["table_1", "( $ in millions ) the research and development 2013 total of 2015 is $ 505 ; the research and development 2013 total of 2014 is $ 509 ; the research and development 2013 total of 2013 is $ 479 ;"], ["table_3", "( $ in millions ) the research and development net of 2015 is $ 486 ; the research and development net of 2014 is $ 492 ; the research and development net of 2013 is $ 463 ;"], ["text_30", "marketable equity securities the company 2019s investment in marketable equity securities is recorded at fair market value and reported in 201cother current assets 201d and 201cinvestments 201d in the accompanying consolidated balance sheet with changes in fair market value recorded in income for those securities designated as trading securities and in other comprehensive income , net of tax , for those designated as available for sale securities. ."]]}, "answers": ["-1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001509", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-1580.", "rejected": "-44.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations <TIME>?", "doc_prefix": "PPG", "base_question": "what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations <TIME>?", "original_question": "what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-44": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-1580": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "PPG/2013/page_76.pdf-3", "qa": {"question": "what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations from 2012 to 2013?", "answer": "-1580", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "108", "arg2": "1688", "res": "-1580"}], "program": "subtract(108, 1688)", "gold_inds": {"table_1": "millions the net sales of year-ended 2013 is $ 108 ; the net sales of year-ended 2012 is $ 1688 ; the net sales of year-ended 2011 is $ 1732 ;"}, "exe_ans": -1580.0, "tfidftopn": {"text_24": "the net sales and income before income taxes of the commodity chemicals business that have been reclassified and reported as discontinued operations are presented in the table below: .", "text_20": "the results of operations and cash flows of ppg's former commodity chemicals business for january 2013 and the net gain on the transaction are reported as results from discontinued operations for the year -ended december 31 , 2013 ."}, "program_re": "subtract(108, 1688)", "model_input": [["table_1", "millions the net sales of year-ended 2013 is $ 108 ; the net sales of year-ended 2012 is $ 1688 ; the net sales of year-ended 2011 is $ 1732 ;"], ["table_5", "millions the income from discontinued operations net of tax of year-ended 2013 is $ 2197 ; the income from discontinued operations net of tax of year-ended 2012 is $ 228 ; the income from discontinued operations net of tax of year-ended 2011 is $ 250 ;"], ["table_7", "millions the net income from discontinued operations ( attributable to ppg ) of year-ended 2013 is $ 2197 ; the net income from discontinued operations ( attributable to ppg ) of year-ended 2012 is $ 215 ; the net income from discontinued operations ( attributable to ppg ) of year-ended 2011 is $ 237 ;"]]}, "answers": ["-1580"]}, "rejected_source": {"id": "PPG/2013/page_76.pdf-4", "qa": {"question": "what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations from 2011 to 2012?", "answer": "-44", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1688", "arg2": "1732", "res": "-44"}], "program": "subtract(1688, 1732)", "gold_inds": {"table_1": "millions the net sales of year-ended 2013 is $ 108 ; the net sales of year-ended 2012 is $ 1688 ; the net sales of year-ended 2011 is $ 1732 ;"}, "exe_ans": -44.0, "tfidftopn": {"text_24": "the net sales and income before income taxes of the commodity chemicals business that have been reclassified and reported as discontinued operations are presented in the table below: .", "text_20": "the results of operations and cash flows of ppg's former commodity chemicals business for january 2013 and the net gain on the transaction are reported as results from discontinued operations for the year -ended december 31 , 2013 ."}, "program_re": "subtract(1688, 1732)", "model_input": [["table_1", "millions the net sales of year-ended 2013 is $ 108 ; the net sales of year-ended 2012 is $ 1688 ; the net sales of year-ended 2011 is $ 1732 ;"], ["table_5", "millions the income from discontinued operations net of tax of year-ended 2013 is $ 2197 ; the income from discontinued operations net of tax of year-ended 2012 is $ 228 ; the income from discontinued operations net of tax of year-ended 2011 is $ 250 ;"], ["table_7", "millions the net income from discontinued operations ( attributable to ppg ) of year-ended 2013 is $ 2197 ; the net income from discontinued operations ( attributable to ppg ) of year-ended 2012 is $ 215 ; the net income from discontinued operations ( attributable to ppg ) of year-ended 2011 is $ 237 ;"]]}, "answers": ["-44"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001510", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-44.", "rejected": "-1580.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations <TIME>?", "doc_prefix": "PPG", "base_question": "what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations <TIME>?", "original_question": "what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-44": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-1580": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "PPG/2013/page_76.pdf-4", "qa": {"question": "what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations from 2011 to 2012?", "answer": "-44", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1688", "arg2": "1732", "res": "-44"}], "program": "subtract(1688, 1732)", "gold_inds": {"table_1": "millions the net sales of year-ended 2013 is $ 108 ; the net sales of year-ended 2012 is $ 1688 ; the net sales of year-ended 2011 is $ 1732 ;"}, "exe_ans": -44.0, "tfidftopn": {"text_24": "the net sales and income before income taxes of the commodity chemicals business that have been reclassified and reported as discontinued operations are presented in the table below: .", "text_20": "the results of operations and cash flows of ppg's former commodity chemicals business for january 2013 and the net gain on the transaction are reported as results from discontinued operations for the year -ended december 31 , 2013 ."}, "program_re": "subtract(1688, 1732)", "model_input": [["table_1", "millions the net sales of year-ended 2013 is $ 108 ; the net sales of year-ended 2012 is $ 1688 ; the net sales of year-ended 2011 is $ 1732 ;"], ["table_5", "millions the income from discontinued operations net of tax of year-ended 2013 is $ 2197 ; the income from discontinued operations net of tax of year-ended 2012 is $ 228 ; the income from discontinued operations net of tax of year-ended 2011 is $ 250 ;"], ["table_7", "millions the net income from discontinued operations ( attributable to ppg ) of year-ended 2013 is $ 2197 ; the net income from discontinued operations ( attributable to ppg ) of year-ended 2012 is $ 215 ; the net income from discontinued operations ( attributable to ppg ) of year-ended 2011 is $ 237 ;"]]}, "answers": ["-44"]}, "rejected_source": {"id": "PPG/2013/page_76.pdf-3", "qa": {"question": "what was the change in millions of net sales for the commodity chemicals business that has been reclassified and reported as discontinued operations from 2012 to 2013?", "answer": "-1580", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "108", "arg2": "1688", "res": "-1580"}], "program": "subtract(108, 1688)", "gold_inds": {"table_1": "millions the net sales of year-ended 2013 is $ 108 ; the net sales of year-ended 2012 is $ 1688 ; the net sales of year-ended 2011 is $ 1732 ;"}, "exe_ans": -1580.0, "tfidftopn": {"text_24": "the net sales and income before income taxes of the commodity chemicals business that have been reclassified and reported as discontinued operations are presented in the table below: .", "text_20": "the results of operations and cash flows of ppg's former commodity chemicals business for january 2013 and the net gain on the transaction are reported as results from discontinued operations for the year -ended december 31 , 2013 ."}, "program_re": "subtract(108, 1688)", "model_input": [["table_1", "millions the net sales of year-ended 2013 is $ 108 ; the net sales of year-ended 2012 is $ 1688 ; the net sales of year-ended 2011 is $ 1732 ;"], ["table_5", "millions the income from discontinued operations net of tax of year-ended 2013 is $ 2197 ; the income from discontinued operations net of tax of year-ended 2012 is $ 228 ; the income from discontinued operations net of tax of year-ended 2011 is $ 250 ;"], ["table_7", "millions the net income from discontinued operations ( attributable to ppg ) of year-ended 2013 is $ 2197 ; the net income from discontinued operations ( attributable to ppg ) of year-ended 2012 is $ 215 ; the net income from discontinued operations ( attributable to ppg ) of year-ended 2011 is $ 237 ;"]]}, "answers": ["-1580"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001511", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total freight revenues was the coal commodity group in 2014?\nReference time interval: 2014-01-01 00:00:00 to 2015-01-01 00:00:00", "chosen": "17%.", "rejected": "18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total freight revenues was the coal commodity group <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total freight revenues was the coal commodity group <TIME>?", "original_question": "what percentage of total freight revenues was the coal commodity group in 2014?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "17%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "UNP/2014/page_56.pdf-3", "qa": {"question": "what percentage of total freight revenues was the coal commodity group in 2014?", "answer": "17%", "explanation": "", "ann_table_rows": [4, 9], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4127", "arg2": "23988", "res": "17%"}], "program": "divide(4127, 23988)", "gold_inds": {"table_4": "millions the coal of 2014 is 4127 ; the coal of 2013 is 3978 ; the coal of 2012 is 3912 ;", "table_9": "millions the total operatingrevenues of 2014 is $ 23988 ; the total operatingrevenues of 2013 is $ 21963 ; the total operatingrevenues of 2012 is $ 20926 ;"}, "exe_ans": 0.17204, "tfidftopn": {"table_7": "millions The total freight revenues of 2014 is $ 22560 ; The total freight revenues of 2013 is $ 20684 ; The total freight revenues of 2012 is $ 19686 ;"}, "program_re": "divide(4127, 23988)", "model_input": [["table_4", "millions the coal of 2014 is 4127 ; the coal of 2013 is 3978 ; the coal of 2012 is 3912 ;"], ["table_7", "millions the total freight revenues of 2014 is $ 22560 ; the total freight revenues of 2013 is $ 20684 ; the total freight revenues of 2012 is $ 19686 ;"], ["table_9", "millions the total operatingrevenues of 2014 is $ 23988 ; the total operatingrevenues of 2013 is $ 21963 ; the total operatingrevenues of 2012 is $ 20926 ;"]]}, "answers": ["17%"]}, "rejected_source": {"id": "UNP/2014/page_56.pdf-4", "qa": {"question": "what percentage of total freight revenues was the coal commodity group in 2013?", "answer": "18%", "explanation": "", "ann_table_rows": [4, 9], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3978", "arg2": "21963", "res": "18%"}], "program": "divide(3978, 21963)", "gold_inds": {"table_4": "millions the coal of 2014 is 4127 ; the coal of 2013 is 3978 ; the coal of 2012 is 3912 ;", "table_9": "millions the total operatingrevenues of 2014 is $ 23988 ; the total operatingrevenues of 2013 is $ 21963 ; the total operatingrevenues of 2012 is $ 20926 ;"}, "exe_ans": 0.18112, "tfidftopn": {"table_7": "millions The total freight revenues of 2014 is $ 22560 ; The total freight revenues of 2013 is $ 20684 ; The total freight revenues of 2012 is $ 19686 ;"}, "program_re": "divide(3978, 21963)", "model_input": [["table_4", "millions the coal of 2014 is 4127 ; the coal of 2013 is 3978 ; the coal of 2012 is 3912 ;"], ["table_7", "millions the total freight revenues of 2014 is $ 22560 ; the total freight revenues of 2013 is $ 20684 ; the total freight revenues of 2012 is $ 19686 ;"], ["table_9", "millions the total operatingrevenues of 2014 is $ 23988 ; the total operatingrevenues of 2013 is $ 21963 ; the total operatingrevenues of 2012 is $ 20926 ;"]]}, "answers": ["18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001512", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total freight revenues was the coal commodity group in 2013?\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "18%.", "rejected": "17%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total freight revenues was the coal commodity group <TIME>?", "doc_prefix": "UNP", "base_question": "what percentage of total freight revenues was the coal commodity group <TIME>?", "original_question": "what percentage of total freight revenues was the coal commodity group in 2013?", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}], "17%": [{"start": "2014-01-01 00:00:00", "end": "2015-01-01 00:00:00", "normalized_text": "2014"}]}, "chosen_source": {"id": "UNP/2014/page_56.pdf-4", "qa": {"question": "what percentage of total freight revenues was the coal commodity group in 2013?", "answer": "18%", "explanation": "", "ann_table_rows": [4, 9], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "3978", "arg2": "21963", "res": "18%"}], "program": "divide(3978, 21963)", "gold_inds": {"table_4": "millions the coal of 2014 is 4127 ; the coal of 2013 is 3978 ; the coal of 2012 is 3912 ;", "table_9": "millions the total operatingrevenues of 2014 is $ 23988 ; the total operatingrevenues of 2013 is $ 21963 ; the total operatingrevenues of 2012 is $ 20926 ;"}, "exe_ans": 0.18112, "tfidftopn": {"table_7": "millions The total freight revenues of 2014 is $ 22560 ; The total freight revenues of 2013 is $ 20684 ; The total freight revenues of 2012 is $ 19686 ;"}, "program_re": "divide(3978, 21963)", "model_input": [["table_4", "millions the coal of 2014 is 4127 ; the coal of 2013 is 3978 ; the coal of 2012 is 3912 ;"], ["table_7", "millions the total freight revenues of 2014 is $ 22560 ; the total freight revenues of 2013 is $ 20684 ; the total freight revenues of 2012 is $ 19686 ;"], ["table_9", "millions the total operatingrevenues of 2014 is $ 23988 ; the total operatingrevenues of 2013 is $ 21963 ; the total operatingrevenues of 2012 is $ 20926 ;"]]}, "answers": ["18%"]}, "rejected_source": {"id": "UNP/2014/page_56.pdf-3", "qa": {"question": "what percentage of total freight revenues was the coal commodity group in 2014?", "answer": "17%", "explanation": "", "ann_table_rows": [4, 9], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4127", "arg2": "23988", "res": "17%"}], "program": "divide(4127, 23988)", "gold_inds": {"table_4": "millions the coal of 2014 is 4127 ; the coal of 2013 is 3978 ; the coal of 2012 is 3912 ;", "table_9": "millions the total operatingrevenues of 2014 is $ 23988 ; the total operatingrevenues of 2013 is $ 21963 ; the total operatingrevenues of 2012 is $ 20926 ;"}, "exe_ans": 0.17204, "tfidftopn": {"table_7": "millions The total freight revenues of 2014 is $ 22560 ; The total freight revenues of 2013 is $ 20684 ; The total freight revenues of 2012 is $ 19686 ;"}, "program_re": "divide(4127, 23988)", "model_input": [["table_4", "millions the coal of 2014 is 4127 ; the coal of 2013 is 3978 ; the coal of 2012 is 3912 ;"], ["table_7", "millions the total freight revenues of 2014 is $ 22560 ; the total freight revenues of 2013 is $ 20684 ; the total freight revenues of 2012 is $ 19686 ;"], ["table_9", "millions the total operatingrevenues of 2014 is $ 23988 ; the total operatingrevenues of 2013 is $ 21963 ; the total operatingrevenues of 2012 is $ 20926 ;"]]}, "answers": ["17%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001513", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rent expense for operating leases with terms exceeding one month from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-1%.", "rejected": "-2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rent expense for operating leases with terms exceeding one month <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rent expense for operating leases with terms exceeding one month <TIME>?", "original_question": "what was the percentage change in rent expense for operating leases with terms exceeding one month from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UNP/2013/page_78.pdf-4", "qa": {"question": "what was the percentage change in rent expense for operating leases with terms exceeding one month from 2011 to 2012?", "answer": "-1%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus1-1", "arg1": "631", "arg2": "637", "res": "-6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "637", "res": "-1%"}], "program": "subtract(631, 637), divide(#0, 637)", "gold_inds": {"text_20": "rent expense for operating leases with terms exceeding one month was $ 618 million in 2013 , $ 631 million in 2012 , and $ 637 million in 2011 ."}, "exe_ans": -0.00942, "tfidftopn": {"text_18": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2013 , were as follows : millions operating leases capital leases .", "text_0": "on december 19 , 2011 , we redeemed the remaining $ 175 million of our 6.5% ( 6.5 % ) notes due april 15 , 2012 , and all $ 300 million of our outstanding 6.125% ( 6.125 % ) notes due january 15 , 2012 ."}, "program_re": "divide(subtract(631, 637), 637)", "model_input": [["text_6", "these vies were created solely for the purpose of doing lease transactions ( principally involving railroad equipment and facilities , including our headquarters building ) and have no other activities , assets or liabilities outside of the lease transactions ."], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4066 ; the total minimum leasepayments of capitalleases is $ 2200 ;"], ["text_20", "rent expense for operating leases with terms exceeding one month was $ 618 million in 2013 , $ 631 million in 2012 , and $ 637 million in 2011 ."]]}, "answers": ["-1%"]}, "rejected_source": {"id": "UNP/2013/page_78.pdf-3", "qa": {"question": "what was the percentage change in rent expense for operating leases with terms exceeding one month from 2012 to 2013?", "answer": "-2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus2-1", "arg1": "618", "arg2": "631", "res": "-13"}, {"op": "divide2-2", "arg1": "#0", "arg2": "631", "res": "-2%"}], "program": "subtract(618, 631), divide(#0, 631)", "gold_inds": {"text_20": "rent expense for operating leases with terms exceeding one month was $ 618 million in 2013 , $ 631 million in 2012 , and $ 637 million in 2011 ."}, "exe_ans": -0.0206, "tfidftopn": {"text_18": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2013 , were as follows : millions operating leases capital leases .", "text_2": "receivables securitization facility 2013 as of december 31 , 2013 and 2012 , we recorded $ 0 and $ 100 million , respectively , as secured debt under our receivables securitization facility ."}, "program_re": "divide(subtract(618, 631), 631)", "model_input": [["text_18", "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2013 , were as follows : millions operating leases capital leases ."], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4066 ; the total minimum leasepayments of capitalleases is $ 2200 ;"], ["text_20", "rent expense for operating leases with terms exceeding one month was $ 618 million in 2013 , $ 631 million in 2012 , and $ 637 million in 2011 ."]]}, "answers": ["-2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001514", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in rent expense for operating leases with terms exceeding one month from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "-2%.", "rejected": "-1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in rent expense for operating leases with terms exceeding one month <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in rent expense for operating leases with terms exceeding one month <TIME>?", "original_question": "what was the percentage change in rent expense for operating leases with terms exceeding one month from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "-2%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UNP/2013/page_78.pdf-3", "qa": {"question": "what was the percentage change in rent expense for operating leases with terms exceeding one month from 2012 to 2013?", "answer": "-2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus2-1", "arg1": "618", "arg2": "631", "res": "-13"}, {"op": "divide2-2", "arg1": "#0", "arg2": "631", "res": "-2%"}], "program": "subtract(618, 631), divide(#0, 631)", "gold_inds": {"text_20": "rent expense for operating leases with terms exceeding one month was $ 618 million in 2013 , $ 631 million in 2012 , and $ 637 million in 2011 ."}, "exe_ans": -0.0206, "tfidftopn": {"text_18": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2013 , were as follows : millions operating leases capital leases .", "text_2": "receivables securitization facility 2013 as of december 31 , 2013 and 2012 , we recorded $ 0 and $ 100 million , respectively , as secured debt under our receivables securitization facility ."}, "program_re": "divide(subtract(618, 631), 631)", "model_input": [["text_18", "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2013 , were as follows : millions operating leases capital leases ."], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4066 ; the total minimum leasepayments of capitalleases is $ 2200 ;"], ["text_20", "rent expense for operating leases with terms exceeding one month was $ 618 million in 2013 , $ 631 million in 2012 , and $ 637 million in 2011 ."]]}, "answers": ["-2%"]}, "rejected_source": {"id": "UNP/2013/page_78.pdf-4", "qa": {"question": "what was the percentage change in rent expense for operating leases with terms exceeding one month from 2011 to 2012?", "answer": "-1%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [20], "steps": [{"op": "minus1-1", "arg1": "631", "arg2": "637", "res": "-6"}, {"op": "divide1-2", "arg1": "#0", "arg2": "637", "res": "-1%"}], "program": "subtract(631, 637), divide(#0, 637)", "gold_inds": {"text_20": "rent expense for operating leases with terms exceeding one month was $ 618 million in 2013 , $ 631 million in 2012 , and $ 637 million in 2011 ."}, "exe_ans": -0.00942, "tfidftopn": {"text_18": "future minimum lease payments for operating and capital leases with initial or remaining non-cancelable lease terms in excess of one year as of december 31 , 2013 , were as follows : millions operating leases capital leases .", "text_0": "on december 19 , 2011 , we redeemed the remaining $ 175 million of our 6.5% ( 6.5 % ) notes due april 15 , 2012 , and all $ 300 million of our outstanding 6.125% ( 6.125 % ) notes due january 15 , 2012 ."}, "program_re": "divide(subtract(631, 637), 637)", "model_input": [["text_6", "these vies were created solely for the purpose of doing lease transactions ( principally involving railroad equipment and facilities , including our headquarters building ) and have no other activities , assets or liabilities outside of the lease transactions ."], ["table_7", "millions the total minimum leasepayments of operatingleases is $ 4066 ; the total minimum leasepayments of capitalleases is $ 2200 ;"], ["text_20", "rent expense for operating leases with terms exceeding one month was $ 618 million in 2013 , $ 631 million in 2012 , and $ 637 million in 2011 ."]]}, "answers": ["-1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001515", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in abiomed inc from march 2006 to march 2009?\nReference time interval: 2006-03-01 00:00:00 to 2009-04-01 00:00:00", "chosen": "-62.0%.", "rejected": "80.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ABMD || what is the roi of an investment in abiomed inc <TIME>?", "doc_prefix": "ABMD", "base_question": "what is the roi of an investment in abiomed inc <TIME>?", "original_question": "what is the roi of an investment in abiomed inc from march 2006 to march 2009?", "reference_time": {"start": "2006-03-01 00:00:00", "end": "2009-04-01 00:00:00", "normalized_text": "from 2006-03 to 2009-03", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-62.0%": [{"start": "2006-03-01 00:00:00", "end": "2009-04-01 00:00:00", "normalized_text": "from 2006-03 to 2009-03"}], "80.9%": [{"start": "2010-03-01 00:00:00", "end": "2013-04-01 00:00:00", "normalized_text": "from 2010-03 to 2013-03"}]}, "chosen_source": {"id": "ABMD/2011/page_33.pdf-4", "qa": {"question": "what is the roi of an investment in abiomed inc from march 2006 to march 2009?", "answer": "-62.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "37.98", "arg2": "100", "res": "-62.02"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "-62.0%"}], "program": "subtract(37.98, 100), divide(#0, 100)", "gold_inds": {"table_1": "the abiomed inc of 3/31/2006 is 100 ; the abiomed inc of 3/31/2007 is 105.89 ; the abiomed inc of 3/31/2008 is 101.86 ; the abiomed inc of 3/31/2009 is 37.98 ; the abiomed inc of 3/31/2010 is 80.00 ; the abiomed inc of 3/31/2011 is 112.64 ;"}, "exe_ans": -0.6202, "tfidftopn": {"text_2": "the performance graph assumes the investment of $ 100 on march 31 , 2006 in our common stock , the nasdaq composite index ( u.s .", "table_2": "The nasdaq composite index of 3/31/2006 is 100 ; The nasdaq composite index of 3/31/2007 is 103.50 ; The nasdaq composite index of 3/31/2008 is 97.41 ; The nasdaq composite index of 3/31/2009 is 65.33 ; The nasdaq composite index of 3/31/2010 is 102.49 ; The nasdaq composite index of 3/31/2011 is 118.86 ;"}, "program_re": "divide(subtract(37.98, 100), 100)", "model_input": [["text_2", "the performance graph assumes the investment of $ 100 on march 31 , 2006 in our common stock , the nasdaq composite index ( u.s ."], ["table_1", "the abiomed inc of 3/31/2006 is 100 ; the abiomed inc of 3/31/2007 is 105.89 ; the abiomed inc of 3/31/2008 is 101.86 ; the abiomed inc of 3/31/2009 is 37.98 ; the abiomed inc of 3/31/2010 is 80.00 ; the abiomed inc of 3/31/2011 is 112.64 ;"], ["table_3", "the nasdaq medical equipment sic code 3840-3849 of 3/31/2006 is 100 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2007 is 88.78 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2008 is 84.26 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2009 is 46.12 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2010 is 83.47 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2011 is 91.35 ;"]]}, "answers": ["-62.0%"]}, "rejected_source": {"id": "ABMD/2015/page_53.pdf-3", "qa": {"question": "what is the roi of an investment in abiomed inc from march 2010 to march 2013?", "answer": "80.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "180.91", "arg2": "100", "res": "80.91"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "80.9%"}], "program": "subtract(180.91, 100), divide(#0, 100)", "gold_inds": {"table_1": "the abiomed inc of 3/31/2010 is 100 ; the abiomed inc of 3/31/2011 is 140.79 ; the abiomed inc of 3/31/2012 is 215.02 ; the abiomed inc of 3/31/2013 is 180.91 ; the abiomed inc of 3/31/2014 is 252.33 ; the abiomed inc of 3/31/2015 is 693.60 ;"}, "exe_ans": 0.8091, "tfidftopn": {"text_2": "the performance graph assumes the investment of $ 100 on march 31 , 2010 in our common stock , the nasdaq composite index ( u.s .", "table_2": "The nasdaq composite index of 3/31/2010 is 100 ; The nasdaq composite index of 3/31/2011 is 115.98 ; The nasdaq composite index of 3/31/2012 is 128.93 ; The nasdaq composite index of 3/31/2013 is 136.26 ; The nasdaq composite index of 3/31/2014 is 175.11 ; The nasdaq composite index of 3/31/2015 is 204.38 ;"}, "program_re": "divide(subtract(180.91, 100), 100)", "model_input": [["text_2", "the performance graph assumes the investment of $ 100 on march 31 , 2010 in our common stock , the nasdaq composite index ( u.s ."], ["table_1", "the abiomed inc of 3/31/2010 is 100 ; the abiomed inc of 3/31/2011 is 140.79 ; the abiomed inc of 3/31/2012 is 215.02 ; the abiomed inc of 3/31/2013 is 180.91 ; the abiomed inc of 3/31/2014 is 252.33 ; the abiomed inc of 3/31/2015 is 693.60 ;"], ["table_3", "the nasdaq medical equipment sic code 3840-3849 of 3/31/2010 is 100 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2011 is 108.31 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2012 is 115.05 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2013 is 105.56 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2014 is 123.18 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2015 is 118.95 ;"]]}, "answers": ["80.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001516", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the roi of an investment in abiomed inc from march 2010 to march 2013?\nReference time interval: 2010-03-01 00:00:00 to 2013-04-01 00:00:00", "chosen": "80.9%.", "rejected": "-62.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "ABMD || what is the roi of an investment in abiomed inc <TIME>?", "doc_prefix": "ABMD", "base_question": "what is the roi of an investment in abiomed inc <TIME>?", "original_question": "what is the roi of an investment in abiomed inc from march 2010 to march 2013?", "reference_time": {"start": "2010-03-01 00:00:00", "end": "2013-04-01 00:00:00", "normalized_text": "from 2010-03 to 2013-03", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-62.0%": [{"start": "2006-03-01 00:00:00", "end": "2009-04-01 00:00:00", "normalized_text": "from 2006-03 to 2009-03"}], "80.9%": [{"start": "2010-03-01 00:00:00", "end": "2013-04-01 00:00:00", "normalized_text": "from 2010-03 to 2013-03"}]}, "chosen_source": {"id": "ABMD/2015/page_53.pdf-3", "qa": {"question": "what is the roi of an investment in abiomed inc from march 2010 to march 2013?", "answer": "80.9%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "180.91", "arg2": "100", "res": "80.91"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "80.9%"}], "program": "subtract(180.91, 100), divide(#0, 100)", "gold_inds": {"table_1": "the abiomed inc of 3/31/2010 is 100 ; the abiomed inc of 3/31/2011 is 140.79 ; the abiomed inc of 3/31/2012 is 215.02 ; the abiomed inc of 3/31/2013 is 180.91 ; the abiomed inc of 3/31/2014 is 252.33 ; the abiomed inc of 3/31/2015 is 693.60 ;"}, "exe_ans": 0.8091, "tfidftopn": {"text_2": "the performance graph assumes the investment of $ 100 on march 31 , 2010 in our common stock , the nasdaq composite index ( u.s .", "table_2": "The nasdaq composite index of 3/31/2010 is 100 ; The nasdaq composite index of 3/31/2011 is 115.98 ; The nasdaq composite index of 3/31/2012 is 128.93 ; The nasdaq composite index of 3/31/2013 is 136.26 ; The nasdaq composite index of 3/31/2014 is 175.11 ; The nasdaq composite index of 3/31/2015 is 204.38 ;"}, "program_re": "divide(subtract(180.91, 100), 100)", "model_input": [["text_2", "the performance graph assumes the investment of $ 100 on march 31 , 2010 in our common stock , the nasdaq composite index ( u.s ."], ["table_1", "the abiomed inc of 3/31/2010 is 100 ; the abiomed inc of 3/31/2011 is 140.79 ; the abiomed inc of 3/31/2012 is 215.02 ; the abiomed inc of 3/31/2013 is 180.91 ; the abiomed inc of 3/31/2014 is 252.33 ; the abiomed inc of 3/31/2015 is 693.60 ;"], ["table_3", "the nasdaq medical equipment sic code 3840-3849 of 3/31/2010 is 100 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2011 is 108.31 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2012 is 115.05 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2013 is 105.56 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2014 is 123.18 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2015 is 118.95 ;"]]}, "answers": ["80.9%"]}, "rejected_source": {"id": "ABMD/2011/page_33.pdf-4", "qa": {"question": "what is the roi of an investment in abiomed inc from march 2006 to march 2009?", "answer": "-62.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "37.98", "arg2": "100", "res": "-62.02"}, {"op": "divide1-2", "arg1": "#0", "arg2": "100", "res": "-62.0%"}], "program": "subtract(37.98, 100), divide(#0, 100)", "gold_inds": {"table_1": "the abiomed inc of 3/31/2006 is 100 ; the abiomed inc of 3/31/2007 is 105.89 ; the abiomed inc of 3/31/2008 is 101.86 ; the abiomed inc of 3/31/2009 is 37.98 ; the abiomed inc of 3/31/2010 is 80.00 ; the abiomed inc of 3/31/2011 is 112.64 ;"}, "exe_ans": -0.6202, "tfidftopn": {"text_2": "the performance graph assumes the investment of $ 100 on march 31 , 2006 in our common stock , the nasdaq composite index ( u.s .", "table_2": "The nasdaq composite index of 3/31/2006 is 100 ; The nasdaq composite index of 3/31/2007 is 103.50 ; The nasdaq composite index of 3/31/2008 is 97.41 ; The nasdaq composite index of 3/31/2009 is 65.33 ; The nasdaq composite index of 3/31/2010 is 102.49 ; The nasdaq composite index of 3/31/2011 is 118.86 ;"}, "program_re": "divide(subtract(37.98, 100), 100)", "model_input": [["text_2", "the performance graph assumes the investment of $ 100 on march 31 , 2006 in our common stock , the nasdaq composite index ( u.s ."], ["table_1", "the abiomed inc of 3/31/2006 is 100 ; the abiomed inc of 3/31/2007 is 105.89 ; the abiomed inc of 3/31/2008 is 101.86 ; the abiomed inc of 3/31/2009 is 37.98 ; the abiomed inc of 3/31/2010 is 80.00 ; the abiomed inc of 3/31/2011 is 112.64 ;"], ["table_3", "the nasdaq medical equipment sic code 3840-3849 of 3/31/2006 is 100 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2007 is 88.78 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2008 is 84.26 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2009 is 46.12 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2010 is 83.47 ; the nasdaq medical equipment sic code 3840-3849 of 3/31/2011 is 91.35 ;"]]}, "answers": ["-62.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001517", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in warranty liability during 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-96.", "rejected": "161.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAT || what is the net change in warranty liability <TIME>?", "doc_prefix": "CAT", "base_question": "what is the net change in warranty liability <TIME>?", "original_question": "what is the net change in warranty liability during 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-96": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "161": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "CAT/2017/page_136.pdf-2", "qa": {"question": "what is the net change in warranty liability during 2016?", "answer": "-96", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1258", "arg2": "1354", "res": "-96"}], "program": "subtract(1258, 1354)", "gold_inds": {"table_1": "( millions of dollars ) the warranty liability january 1 of 2017 is $ 1258 ; the warranty liability january 1 of 2016 is $ 1354 ;", "table_4": "( millions of dollars ) the warranty liability december 31 of 2017 is $ 1419 ; the warranty liability december 31 of 2016 is $ 1258 ;"}, "exe_ans": -96.0, "tfidftopn": {"table_3": "( millions of dollars ) The increase in liability ( new warranties ) of 2017 is 1021 ; The increase in liability ( new warranties ) of 2016 is 813 ;"}, "program_re": "subtract(1258, 1354)", "model_input": [["table_1", "( millions of dollars ) the warranty liability january 1 of 2017 is $ 1258 ; the warranty liability january 1 of 2016 is $ 1354 ;"], ["table_3", "( millions of dollars ) the increase in liability ( new warranties ) of 2017 is 1021 ; the increase in liability ( new warranties ) of 2016 is 813 ;"], ["table_4", "( millions of dollars ) the warranty liability december 31 of 2017 is $ 1419 ; the warranty liability december 31 of 2016 is $ 1258 ;"]]}, "answers": ["-96"]}, "rejected_source": {"id": "CAT/2017/page_136.pdf-3", "qa": {"question": "what is the net change in warranty liability during 2017?", "answer": "161", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1419", "arg2": "1258", "res": "161"}], "program": "subtract(1419, 1258)", "gold_inds": {"table_1": "( millions of dollars ) the warranty liability january 1 of 2017 is $ 1258 ; the warranty liability january 1 of 2016 is $ 1354 ;", "table_4": "( millions of dollars ) the warranty liability december 31 of 2017 is $ 1419 ; the warranty liability december 31 of 2016 is $ 1258 ;"}, "exe_ans": 161.0, "tfidftopn": {"table_3": "( millions of dollars ) The increase in liability ( new warranties ) of 2017 is 1021 ; The increase in liability ( new warranties ) of 2016 is 813 ;"}, "program_re": "subtract(1419, 1258)", "model_input": [["table_1", "( millions of dollars ) the warranty liability january 1 of 2017 is $ 1258 ; the warranty liability january 1 of 2016 is $ 1354 ;"], ["table_3", "( millions of dollars ) the increase in liability ( new warranties ) of 2017 is 1021 ; the increase in liability ( new warranties ) of 2016 is 813 ;"], ["table_4", "( millions of dollars ) the warranty liability december 31 of 2017 is $ 1419 ; the warranty liability december 31 of 2016 is $ 1258 ;"]]}, "answers": ["161"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001518", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the net change in warranty liability during 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "161.", "rejected": "-96.", "meta": {"dataset": "finqa", "split": "train", "group_key": "CAT || what is the net change in warranty liability <TIME>?", "doc_prefix": "CAT", "base_question": "what is the net change in warranty liability <TIME>?", "original_question": "what is the net change in warranty liability during 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-96": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}], "161": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}]}, "chosen_source": {"id": "CAT/2017/page_136.pdf-3", "qa": {"question": "what is the net change in warranty liability during 2017?", "answer": "161", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "1419", "arg2": "1258", "res": "161"}], "program": "subtract(1419, 1258)", "gold_inds": {"table_1": "( millions of dollars ) the warranty liability january 1 of 2017 is $ 1258 ; the warranty liability january 1 of 2016 is $ 1354 ;", "table_4": "( millions of dollars ) the warranty liability december 31 of 2017 is $ 1419 ; the warranty liability december 31 of 2016 is $ 1258 ;"}, "exe_ans": 161.0, "tfidftopn": {"table_3": "( millions of dollars ) The increase in liability ( new warranties ) of 2017 is 1021 ; The increase in liability ( new warranties ) of 2016 is 813 ;"}, "program_re": "subtract(1419, 1258)", "model_input": [["table_1", "( millions of dollars ) the warranty liability january 1 of 2017 is $ 1258 ; the warranty liability january 1 of 2016 is $ 1354 ;"], ["table_3", "( millions of dollars ) the increase in liability ( new warranties ) of 2017 is 1021 ; the increase in liability ( new warranties ) of 2016 is 813 ;"], ["table_4", "( millions of dollars ) the warranty liability december 31 of 2017 is $ 1419 ; the warranty liability december 31 of 2016 is $ 1258 ;"]]}, "answers": ["161"]}, "rejected_source": {"id": "CAT/2017/page_136.pdf-2", "qa": {"question": "what is the net change in warranty liability during 2016?", "answer": "-96", "explanation": "", "ann_table_rows": [1, 4], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "1258", "arg2": "1354", "res": "-96"}], "program": "subtract(1258, 1354)", "gold_inds": {"table_1": "( millions of dollars ) the warranty liability january 1 of 2017 is $ 1258 ; the warranty liability january 1 of 2016 is $ 1354 ;", "table_4": "( millions of dollars ) the warranty liability december 31 of 2017 is $ 1419 ; the warranty liability december 31 of 2016 is $ 1258 ;"}, "exe_ans": -96.0, "tfidftopn": {"table_3": "( millions of dollars ) The increase in liability ( new warranties ) of 2017 is 1021 ; The increase in liability ( new warranties ) of 2016 is 813 ;"}, "program_re": "subtract(1258, 1354)", "model_input": [["table_1", "( millions of dollars ) the warranty liability january 1 of 2017 is $ 1258 ; the warranty liability january 1 of 2016 is $ 1354 ;"], ["table_3", "( millions of dollars ) the increase in liability ( new warranties ) of 2017 is 1021 ; the increase in liability ( new warranties ) of 2016 is 813 ;"], ["table_4", "( millions of dollars ) the warranty liability december 31 of 2017 is $ 1419 ; the warranty liability december 31 of 2016 is $ 1258 ;"]]}, "answers": ["-96"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001519", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: based on the review of the activity between the company and the 2007 financing entities what was the ratio of the cash payments to cash receipts in 2012\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "1.83.", "rejected": "2.55.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || based on the review of the activity between the company and the <TIME> financing entities what was the ratio of the cash payments to cash receipts <TIME>", "doc_prefix": "IP", "base_question": "based on the review of the activity between the company and the <TIME> financing entities what was the ratio of the cash payments to cash receipts <TIME>", "original_question": "based on the review of the activity between the company and the 2007 financing entities what was the ratio of the cash payments to cash receipts in 2012", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.83": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "2.55": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2014/page_105.pdf-2", "qa": {"question": "based on the review of the activity between the company and the 2007 financing entities what was the ratio of the cash payments to cash receipts in 2012", "answer": "1.83", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "22", "arg2": "12", "res": "1.83"}], "program": "divide(22, 12)", "gold_inds": {"table_3": "in millions the cash receipts ( c ) of 2014 is 7 ; the cash receipts ( c ) of 2013 is 8 ; the cash receipts ( c ) of 2012 is 12 ;", "table_4": "in millions the cash payments ( d ) of 2014 is 18 ; the cash payments ( d ) of 2013 is 21 ; the cash payments ( d ) of 2012 is 22 ;"}, "exe_ans": 1.83333, "tfidftopn": {"text_16": "activity between the company and the 2007 financing entities was as follows: ."}, "program_re": "divide(22, 12)", "model_input": [["table_3", "in millions the cash receipts ( c ) of 2014 is 7 ; the cash receipts ( c ) of 2013 is 8 ; the cash receipts ( c ) of 2012 is 12 ;"], ["table_4", "in millions the cash payments ( d ) of 2014 is 18 ; the cash payments ( d ) of 2013 is 21 ; the cash payments ( d ) of 2012 is 22 ;"], ["text_18", "( b ) the expense is included in interest expense , net in the accompanying consolidated statement of operations and includes $ 7 million , $ 7 million and $ 6 million for the years ended december 31 , 2014 , 2013 and 2012 , respectively , of accretion expense for the amortization of the purchase accounting adjustment on the nonrecourse financial liabilities of special purpose entities ."]]}, "answers": ["1.83"]}, "rejected_source": {"id": "IP/2015/page_82.pdf-1", "qa": {"question": "based on the review of the activity between the company and the 2015 financing entities what was the ratio of the cash payments to cash receipts in 2013", "answer": "2.55", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "84", "arg2": "33", "res": "2.55"}], "program": "divide(84, 33)", "gold_inds": {"table_3": "in millions the cash receipts ( b ) of 2015 is 21 ; the cash receipts ( b ) of 2014 is 22 ; the cash receipts ( b ) of 2013 is 33 ;", "table_4": "in millions the cash payments ( c ) of 2015 is 71 ; the cash payments ( c ) of 2014 is 73 ; the cash payments ( c ) of 2013 is 84 ;"}, "exe_ans": 2.54545, "tfidftopn": {"text_27": "after formation of the 2015 financing entities , cash receipts are interest received on the financial assets of special purpose entities. ."}, "program_re": "divide(84, 33)", "model_input": [["text_9", "also , during the third quarter of 2015 , the 2015 financing entities used $ 630 million in cash to pay down a portion of the third party bank loans and refinanced approximately $ 4.2 billion of those loans on nonrecourse terms ( the 2015 refinance loans ) ."], ["table_3", "in millions the cash receipts ( b ) of 2015 is 21 ; the cash receipts ( b ) of 2014 is 22 ; the cash receipts ( b ) of 2013 is 33 ;"], ["table_4", "in millions the cash payments ( c ) of 2015 is 71 ; the cash payments ( c ) of 2014 is 73 ; the cash payments ( c ) of 2013 is 84 ;"]]}, "answers": ["2.55"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001520", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: based on the review of the activity between the company and the 2015 financing entities what was the ratio of the cash payments to cash receipts in 2013\nReference time interval: 2013-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "2.55.", "rejected": "1.83.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || based on the review of the activity between the company and the <TIME> financing entities what was the ratio of the cash payments to cash receipts <TIME>", "doc_prefix": "IP", "base_question": "based on the review of the activity between the company and the <TIME> financing entities what was the ratio of the cash payments to cash receipts <TIME>", "original_question": "based on the review of the activity between the company and the 2015 financing entities what was the ratio of the cash payments to cash receipts in 2013", "reference_time": {"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1.83": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}], "2.55": [{"start": "2013-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "2013"}]}, "chosen_source": {"id": "IP/2015/page_82.pdf-1", "qa": {"question": "based on the review of the activity between the company and the 2015 financing entities what was the ratio of the cash payments to cash receipts in 2013", "answer": "2.55", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "84", "arg2": "33", "res": "2.55"}], "program": "divide(84, 33)", "gold_inds": {"table_3": "in millions the cash receipts ( b ) of 2015 is 21 ; the cash receipts ( b ) of 2014 is 22 ; the cash receipts ( b ) of 2013 is 33 ;", "table_4": "in millions the cash payments ( c ) of 2015 is 71 ; the cash payments ( c ) of 2014 is 73 ; the cash payments ( c ) of 2013 is 84 ;"}, "exe_ans": 2.54545, "tfidftopn": {"text_27": "after formation of the 2015 financing entities , cash receipts are interest received on the financial assets of special purpose entities. ."}, "program_re": "divide(84, 33)", "model_input": [["text_9", "also , during the third quarter of 2015 , the 2015 financing entities used $ 630 million in cash to pay down a portion of the third party bank loans and refinanced approximately $ 4.2 billion of those loans on nonrecourse terms ( the 2015 refinance loans ) ."], ["table_3", "in millions the cash receipts ( b ) of 2015 is 21 ; the cash receipts ( b ) of 2014 is 22 ; the cash receipts ( b ) of 2013 is 33 ;"], ["table_4", "in millions the cash payments ( c ) of 2015 is 71 ; the cash payments ( c ) of 2014 is 73 ; the cash payments ( c ) of 2013 is 84 ;"]]}, "answers": ["2.55"]}, "rejected_source": {"id": "IP/2014/page_105.pdf-2", "qa": {"question": "based on the review of the activity between the company and the 2007 financing entities what was the ratio of the cash payments to cash receipts in 2012", "answer": "1.83", "explanation": "", "ann_table_rows": [3, 4], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "22", "arg2": "12", "res": "1.83"}], "program": "divide(22, 12)", "gold_inds": {"table_3": "in millions the cash receipts ( c ) of 2014 is 7 ; the cash receipts ( c ) of 2013 is 8 ; the cash receipts ( c ) of 2012 is 12 ;", "table_4": "in millions the cash payments ( d ) of 2014 is 18 ; the cash payments ( d ) of 2013 is 21 ; the cash payments ( d ) of 2012 is 22 ;"}, "exe_ans": 1.83333, "tfidftopn": {"text_16": "activity between the company and the 2007 financing entities was as follows: ."}, "program_re": "divide(22, 12)", "model_input": [["table_3", "in millions the cash receipts ( c ) of 2014 is 7 ; the cash receipts ( c ) of 2013 is 8 ; the cash receipts ( c ) of 2012 is 12 ;"], ["table_4", "in millions the cash payments ( d ) of 2014 is 18 ; the cash payments ( d ) of 2013 is 21 ; the cash payments ( d ) of 2012 is 22 ;"], ["text_18", "( b ) the expense is included in interest expense , net in the accompanying consolidated statement of operations and includes $ 7 million , $ 7 million and $ 6 million for the years ended december 31 , 2014 , 2013 and 2012 , respectively , of accretion expense for the amortization of the purchase accounting adjustment on the nonrecourse financial liabilities of special purpose entities ."]]}, "answers": ["1.83"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001521", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of compensation and benefits from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-394.", "rejected": "-69.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the change in millions of compensation and benefits <TIME>?", "doc_prefix": "UNP", "base_question": "what was the change in millions of compensation and benefits <TIME>?", "original_question": "what was the change in millions of compensation and benefits from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-69": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2009/page_31.pdf-3", "qa": {"question": "what was the change in millions of compensation and benefits from 2008 to 2009?", "answer": "-394", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4063", "arg2": "4457", "res": "-394"}], "program": "subtract(4063, 4457)", "gold_inds": {"table_1": "millions of dollars the compensation and benefits of 2009 is $ 4063 ; the compensation and benefits of 2008 is $ 4457 ; the compensation and benefits of 2007 is $ 4526 ; the compensation and benefits of % ( % ) change 2009 v 2008 is ( 9 ) % ( % ) ; the compensation and benefits of % ( % ) change 2008 v 2007 is ( 2 ) % ( % ) ;"}, "exe_ans": -394.0, "tfidftopn": {"text_17": "operating expenses millions of dollars 2009 2008 2007 % (  % ) change 2009 v 2008 % (  % ) change 2008 v 2007 .", "table_6": "millions of dollars The other of 2009 is 687 ; The other of 2008 is 840 ; The other of 2007 is 733 ; The other of % ( % ) change 2009 v 2008 is -18 ( 18 ) ; The other of % ( % ) change 2008 v 2007 is 15 ;"}, "program_re": "subtract(4063, 4457)", "model_input": [["table_1", "millions of dollars the compensation and benefits of 2009 is $ 4063 ; the compensation and benefits of 2008 is $ 4457 ; the compensation and benefits of 2007 is $ 4526 ; the compensation and benefits of % ( % ) change 2009 v 2008 is ( 9 ) % ( % ) ; the compensation and benefits of % ( % ) change 2008 v 2007 is ( 2 ) % ( % ) ;"], ["table_5", "millions of dollars the equipment and other rents of 2009 is 1180 ; the equipment and other rents of 2008 is 1326 ; the equipment and other rents of 2007 is 1368 ; the equipment and other rents of % ( % ) change 2009 v 2008 is -11 ( 11 ) ; the equipment and other rents of % ( % ) change 2008 v 2007 is -3 ( 3 ) ;"], ["table_7", "millions of dollars the total of 2009 is $ 10751 ; the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of % ( % ) change 2009 v 2008 is ( 23 ) % ( % ) ; the total of % ( % ) change 2008 v 2007 is 8% ( 8 % ) ;"]]}, "answers": ["-394"]}, "rejected_source": {"id": "UNP/2009/page_31.pdf-2", "qa": {"question": "what was the change in millions of compensation and benefits from 2007 to 2008?", "answer": "-69", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4457", "arg2": "4526", "res": "-69"}], "program": "subtract(4457, 4526)", "gold_inds": {"table_1": "millions of dollars the compensation and benefits of 2009 is $ 4063 ; the compensation and benefits of 2008 is $ 4457 ; the compensation and benefits of 2007 is $ 4526 ; the compensation and benefits of % ( % ) change 2009 v 2008 is ( 9 ) % ( % ) ; the compensation and benefits of % ( % ) change 2008 v 2007 is ( 2 ) % ( % ) ;"}, "exe_ans": -69.0, "tfidftopn": {"text_17": "operating expenses millions of dollars 2009 2008 2007 % (  % ) change 2009 v 2008 % (  % ) change 2008 v 2007 .", "table_6": "millions of dollars The other of 2009 is 687 ; The other of 2008 is 840 ; The other of 2007 is 733 ; The other of % ( % ) change 2009 v 2008 is -18 ( 18 ) ; The other of % ( % ) change 2008 v 2007 is 15 ;"}, "program_re": "subtract(4457, 4526)", "model_input": [["table_1", "millions of dollars the compensation and benefits of 2009 is $ 4063 ; the compensation and benefits of 2008 is $ 4457 ; the compensation and benefits of 2007 is $ 4526 ; the compensation and benefits of % ( % ) change 2009 v 2008 is ( 9 ) % ( % ) ; the compensation and benefits of % ( % ) change 2008 v 2007 is ( 2 ) % ( % ) ;"], ["table_5", "millions of dollars the equipment and other rents of 2009 is 1180 ; the equipment and other rents of 2008 is 1326 ; the equipment and other rents of 2007 is 1368 ; the equipment and other rents of % ( % ) change 2009 v 2008 is -11 ( 11 ) ; the equipment and other rents of % ( % ) change 2008 v 2007 is -3 ( 3 ) ;"], ["table_7", "millions of dollars the total of 2009 is $ 10751 ; the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of % ( % ) change 2009 v 2008 is ( 23 ) % ( % ) ; the total of % ( % ) change 2008 v 2007 is 8% ( 8 % ) ;"]]}, "answers": ["-69"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001522", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of compensation and benefits from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "-69.", "rejected": "-394.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the change in millions of compensation and benefits <TIME>?", "doc_prefix": "UNP", "base_question": "what was the change in millions of compensation and benefits <TIME>?", "original_question": "what was the change in millions of compensation and benefits from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-69": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}], "-394": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}]}, "chosen_source": {"id": "UNP/2009/page_31.pdf-2", "qa": {"question": "what was the change in millions of compensation and benefits from 2007 to 2008?", "answer": "-69", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "4457", "arg2": "4526", "res": "-69"}], "program": "subtract(4457, 4526)", "gold_inds": {"table_1": "millions of dollars the compensation and benefits of 2009 is $ 4063 ; the compensation and benefits of 2008 is $ 4457 ; the compensation and benefits of 2007 is $ 4526 ; the compensation and benefits of % ( % ) change 2009 v 2008 is ( 9 ) % ( % ) ; the compensation and benefits of % ( % ) change 2008 v 2007 is ( 2 ) % ( % ) ;"}, "exe_ans": -69.0, "tfidftopn": {"text_17": "operating expenses millions of dollars 2009 2008 2007 % (  % ) change 2009 v 2008 % (  % ) change 2008 v 2007 .", "table_6": "millions of dollars The other of 2009 is 687 ; The other of 2008 is 840 ; The other of 2007 is 733 ; The other of % ( % ) change 2009 v 2008 is -18 ( 18 ) ; The other of % ( % ) change 2008 v 2007 is 15 ;"}, "program_re": "subtract(4457, 4526)", "model_input": [["table_1", "millions of dollars the compensation and benefits of 2009 is $ 4063 ; the compensation and benefits of 2008 is $ 4457 ; the compensation and benefits of 2007 is $ 4526 ; the compensation and benefits of % ( % ) change 2009 v 2008 is ( 9 ) % ( % ) ; the compensation and benefits of % ( % ) change 2008 v 2007 is ( 2 ) % ( % ) ;"], ["table_5", "millions of dollars the equipment and other rents of 2009 is 1180 ; the equipment and other rents of 2008 is 1326 ; the equipment and other rents of 2007 is 1368 ; the equipment and other rents of % ( % ) change 2009 v 2008 is -11 ( 11 ) ; the equipment and other rents of % ( % ) change 2008 v 2007 is -3 ( 3 ) ;"], ["table_7", "millions of dollars the total of 2009 is $ 10751 ; the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of % ( % ) change 2009 v 2008 is ( 23 ) % ( % ) ; the total of % ( % ) change 2008 v 2007 is 8% ( 8 % ) ;"]]}, "answers": ["-69"]}, "rejected_source": {"id": "UNP/2009/page_31.pdf-3", "qa": {"question": "what was the change in millions of compensation and benefits from 2008 to 2009?", "answer": "-394", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "4063", "arg2": "4457", "res": "-394"}], "program": "subtract(4063, 4457)", "gold_inds": {"table_1": "millions of dollars the compensation and benefits of 2009 is $ 4063 ; the compensation and benefits of 2008 is $ 4457 ; the compensation and benefits of 2007 is $ 4526 ; the compensation and benefits of % ( % ) change 2009 v 2008 is ( 9 ) % ( % ) ; the compensation and benefits of % ( % ) change 2008 v 2007 is ( 2 ) % ( % ) ;"}, "exe_ans": -394.0, "tfidftopn": {"text_17": "operating expenses millions of dollars 2009 2008 2007 % (  % ) change 2009 v 2008 % (  % ) change 2008 v 2007 .", "table_6": "millions of dollars The other of 2009 is 687 ; The other of 2008 is 840 ; The other of 2007 is 733 ; The other of % ( % ) change 2009 v 2008 is -18 ( 18 ) ; The other of % ( % ) change 2008 v 2007 is 15 ;"}, "program_re": "subtract(4063, 4457)", "model_input": [["table_1", "millions of dollars the compensation and benefits of 2009 is $ 4063 ; the compensation and benefits of 2008 is $ 4457 ; the compensation and benefits of 2007 is $ 4526 ; the compensation and benefits of % ( % ) change 2009 v 2008 is ( 9 ) % ( % ) ; the compensation and benefits of % ( % ) change 2008 v 2007 is ( 2 ) % ( % ) ;"], ["table_5", "millions of dollars the equipment and other rents of 2009 is 1180 ; the equipment and other rents of 2008 is 1326 ; the equipment and other rents of 2007 is 1368 ; the equipment and other rents of % ( % ) change 2009 v 2008 is -11 ( 11 ) ; the equipment and other rents of % ( % ) change 2008 v 2007 is -3 ( 3 ) ;"], ["table_7", "millions of dollars the total of 2009 is $ 10751 ; the total of 2008 is $ 13895 ; the total of 2007 is $ 12908 ; the total of % ( % ) change 2009 v 2008 is ( 23 ) % ( % ) ; the total of % ( % ) change 2008 v 2007 is 8% ( 8 % ) ;"]]}, "answers": ["-394"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001523", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash from operating activities from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-3%.", "rejected": "10%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in cash from operating activities <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in cash from operating activities <TIME>?", "original_question": "what was the percentage change in cash from operating activities from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "10%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "PPG/2011/page_28.pdf-3", "qa": {"question": "what was the percentage change in cash from operating activities from 2009 to 2010?", "answer": "-3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [40], "steps": [{"op": "minus2-1", "arg1": "1310", "arg2": "1345", "res": "-35"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1345", "res": "3%"}], "program": "subtract(1310, 1345), divide(#0, 1345)", "gold_inds": {"text_40": "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."}, "exe_ans": -0.02602, "tfidftopn": {"text_1": "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively .", "text_17": "capital spending , excluding acquisitions , as a percentage of sales was 2.6% ( 2.6 % ) , 2.3% ( 2.3 % ) and 2.0% ( 2.0 % ) in 2011 , 2010 and 2009 , respectively ."}, "program_re": "divide(subtract(1310, 1345), 1345)", "model_input": [["text_1", "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."], ["table_1", "( millions ) the operating working capital of 2011 is $ 2739 ; the operating working capital of 2010 is $ 2595 ; the operating working capital of is ;"], ["text_40", "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."]]}, "answers": ["-3%"]}, "rejected_source": {"id": "PPG/2011/page_28.pdf-4", "qa": {"question": "what was the percentage change in cash from operating activities from 2010 to 2011?", "answer": "10%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [40], "steps": [{"op": "minus1-1", "arg1": "1436", "arg2": "1310", "res": "126"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1310", "res": "10%"}], "program": "subtract(1436, 1310), divide(#0, 1310)", "gold_inds": {"text_40": "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."}, "exe_ans": 0.09618, "tfidftopn": {"text_1": "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively .", "text_17": "capital spending , excluding acquisitions , as a percentage of sales was 2.6% ( 2.6 % ) , 2.3% ( 2.3 % ) and 2.0% ( 2.0 % ) in 2011 , 2010 and 2009 , respectively ."}, "program_re": "divide(subtract(1436, 1310), 1310)", "model_input": [["text_1", "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."], ["table_1", "( millions ) the operating working capital of 2011 is $ 2739 ; the operating working capital of 2010 is $ 2595 ; the operating working capital of is ;"], ["text_40", "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."]]}, "answers": ["10%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001524", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in cash from operating activities from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "10%.", "rejected": "-3%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in cash from operating activities <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in cash from operating activities <TIME>?", "original_question": "what was the percentage change in cash from operating activities from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-3%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "10%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "PPG/2011/page_28.pdf-4", "qa": {"question": "what was the percentage change in cash from operating activities from 2010 to 2011?", "answer": "10%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [40], "steps": [{"op": "minus1-1", "arg1": "1436", "arg2": "1310", "res": "126"}, {"op": "divide1-2", "arg1": "#0", "arg2": "1310", "res": "10%"}], "program": "subtract(1436, 1310), divide(#0, 1310)", "gold_inds": {"text_40": "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."}, "exe_ans": 0.09618, "tfidftopn": {"text_1": "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively .", "text_17": "capital spending , excluding acquisitions , as a percentage of sales was 2.6% ( 2.6 % ) , 2.3% ( 2.3 % ) and 2.0% ( 2.0 % ) in 2011 , 2010 and 2009 , respectively ."}, "program_re": "divide(subtract(1436, 1310), 1310)", "model_input": [["text_1", "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."], ["table_1", "( millions ) the operating working capital of 2011 is $ 2739 ; the operating working capital of 2010 is $ 2595 ; the operating working capital of is ;"], ["text_40", "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."]]}, "answers": ["10%"]}, "rejected_source": {"id": "PPG/2011/page_28.pdf-3", "qa": {"question": "what was the percentage change in cash from operating activities from 2009 to 2010?", "answer": "-3%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [40], "steps": [{"op": "minus2-1", "arg1": "1310", "arg2": "1345", "res": "-35"}, {"op": "divide2-2", "arg1": "#0", "arg2": "1345", "res": "3%"}], "program": "subtract(1310, 1345), divide(#0, 1345)", "gold_inds": {"text_40": "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."}, "exe_ans": -0.02602, "tfidftopn": {"text_1": "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively .", "text_17": "capital spending , excluding acquisitions , as a percentage of sales was 2.6% ( 2.6 % ) , 2.3% ( 2.3 % ) and 2.0% ( 2.0 % ) in 2011 , 2010 and 2009 , respectively ."}, "program_re": "divide(subtract(1310, 1345), 1345)", "model_input": [["text_1", "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."], ["table_1", "( millions ) the operating working capital of 2011 is $ 2739 ; the operating working capital of 2010 is $ 2595 ; the operating working capital of is ;"], ["text_40", "cash from operating activities was $ 1436 million , $ 1310 million , and $ 1345 million in 2011 , 2010 , and 2009 , respectively ."]]}, "answers": ["-3%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001525", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in expenses related to personal pension plan from 2008 to 2009?\nReference time interval: 2008-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "-18.8%.", "rejected": "69.2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the percentage change in expenses related to personal pension plan <TIME>?", "doc_prefix": "BLK", "base_question": "what is the percentage change in expenses related to personal pension plan <TIME>?", "original_question": "what is the percentage change in expenses related to personal pension plan from 2008 to 2009?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-18.8%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "69.2%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "BLK/2010/page_126.pdf-3", "qa": {"question": "what is the percentage change in expenses related to personal pension plan from 2008 to 2009?", "answer": "-18.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [23], "steps": [{"op": "minus2-1", "arg1": "13", "arg2": "16", "res": "-3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "16", "res": "-18.8%"}], "program": "subtract(13, 16), divide(#0, 16)", "gold_inds": {"text_23": "the expense for this plan was $ 22 million , $ 13 million and $ 16 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."}, "exe_ans": -0.1875, "tfidftopn": {"text_43": "for the years ended december 31 , 2010 , 2009 and 2008 , expenses and unfunded obligations for these benefits were immaterial to the company 2019s consolidated financial statements .", "text_21": "blackrock group personal pension plan blackrock investment management ( uk ) limited ( 201cbim 201d ) , a wholly-owned subsidiary of the company , contributes to the blackrock group personal pension plan , a defined contribution plan for all employees of bim ."}, "program_re": "divide(subtract(13, 16), 16)", "model_input": [["text_19", "the retirement plan expense was $ 13 million for the year ended december 31 , 2010 and immaterial to the company 2019s consolidated financial statements for the year ended december 31 , 2009 ."], ["text_23", "the expense for this plan was $ 22 million , $ 13 million and $ 16 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."], ["text_40", "quoted prices significant in active other markets for observable identical assets inputs december 31 , ( dollar amounts in millions ) ( level 1 ) ( level 2 ) 2010 ."]]}, "answers": ["-18.8%"]}, "rejected_source": {"id": "BLK/2010/page_126.pdf-2", "qa": {"question": "what is the percentage change in expenses related to personal pension plan from 2009 to 2010?", "answer": "69.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [23], "steps": [{"op": "minus1-1", "arg1": "22", "arg2": "13", "res": "9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13", "res": "69.2%"}], "program": "subtract(22, 13), divide(#0, 13)", "gold_inds": {"text_23": "the expense for this plan was $ 22 million , $ 13 million and $ 16 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."}, "exe_ans": 0.69231, "tfidftopn": {"text_21": "blackrock group personal pension plan blackrock investment management ( uk ) limited ( 201cbim 201d ) , a wholly-owned subsidiary of the company , contributes to the blackrock group personal pension plan , a defined contribution plan for all employees of bim .", "text_43": "for the years ended december 31 , 2010 , 2009 and 2008 , expenses and unfunded obligations for these benefits were immaterial to the company 2019s consolidated financial statements ."}, "program_re": "divide(subtract(22, 13), 13)", "model_input": [["text_19", "the retirement plan expense was $ 13 million for the year ended december 31 , 2010 and immaterial to the company 2019s consolidated financial statements for the year ended december 31 , 2009 ."], ["text_23", "the expense for this plan was $ 22 million , $ 13 million and $ 16 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."], ["text_40", "quoted prices significant in active other markets for observable identical assets inputs december 31 , ( dollar amounts in millions ) ( level 1 ) ( level 2 ) 2010 ."]]}, "answers": ["69.2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001526", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the percentage change in expenses related to personal pension plan from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "69.2%.", "rejected": "-18.8%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the percentage change in expenses related to personal pension plan <TIME>?", "doc_prefix": "BLK", "base_question": "what is the percentage change in expenses related to personal pension plan <TIME>?", "original_question": "what is the percentage change in expenses related to personal pension plan from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-18.8%": [{"start": "2008-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "from 2008 to 2009"}], "69.2%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}]}, "chosen_source": {"id": "BLK/2010/page_126.pdf-2", "qa": {"question": "what is the percentage change in expenses related to personal pension plan from 2009 to 2010?", "answer": "69.2%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [23], "steps": [{"op": "minus1-1", "arg1": "22", "arg2": "13", "res": "9"}, {"op": "divide1-2", "arg1": "#0", "arg2": "13", "res": "69.2%"}], "program": "subtract(22, 13), divide(#0, 13)", "gold_inds": {"text_23": "the expense for this plan was $ 22 million , $ 13 million and $ 16 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."}, "exe_ans": 0.69231, "tfidftopn": {"text_21": "blackrock group personal pension plan blackrock investment management ( uk ) limited ( 201cbim 201d ) , a wholly-owned subsidiary of the company , contributes to the blackrock group personal pension plan , a defined contribution plan for all employees of bim .", "text_43": "for the years ended december 31 , 2010 , 2009 and 2008 , expenses and unfunded obligations for these benefits were immaterial to the company 2019s consolidated financial statements ."}, "program_re": "divide(subtract(22, 13), 13)", "model_input": [["text_19", "the retirement plan expense was $ 13 million for the year ended december 31 , 2010 and immaterial to the company 2019s consolidated financial statements for the year ended december 31 , 2009 ."], ["text_23", "the expense for this plan was $ 22 million , $ 13 million and $ 16 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."], ["text_40", "quoted prices significant in active other markets for observable identical assets inputs december 31 , ( dollar amounts in millions ) ( level 1 ) ( level 2 ) 2010 ."]]}, "answers": ["69.2%"]}, "rejected_source": {"id": "BLK/2010/page_126.pdf-3", "qa": {"question": "what is the percentage change in expenses related to personal pension plan from 2008 to 2009?", "answer": "-18.8%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [23], "steps": [{"op": "minus2-1", "arg1": "13", "arg2": "16", "res": "-3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "16", "res": "-18.8%"}], "program": "subtract(13, 16), divide(#0, 16)", "gold_inds": {"text_23": "the expense for this plan was $ 22 million , $ 13 million and $ 16 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."}, "exe_ans": -0.1875, "tfidftopn": {"text_43": "for the years ended december 31 , 2010 , 2009 and 2008 , expenses and unfunded obligations for these benefits were immaterial to the company 2019s consolidated financial statements .", "text_21": "blackrock group personal pension plan blackrock investment management ( uk ) limited ( 201cbim 201d ) , a wholly-owned subsidiary of the company , contributes to the blackrock group personal pension plan , a defined contribution plan for all employees of bim ."}, "program_re": "divide(subtract(13, 16), 16)", "model_input": [["text_19", "the retirement plan expense was $ 13 million for the year ended december 31 , 2010 and immaterial to the company 2019s consolidated financial statements for the year ended december 31 , 2009 ."], ["text_23", "the expense for this plan was $ 22 million , $ 13 million and $ 16 million for the years ended december 31 , 2010 , 2009 and 2008 , respectively ."], ["text_40", "quoted prices significant in active other markets for observable identical assets inputs december 31 , ( dollar amounts in millions ) ( level 1 ) ( level 2 ) 2010 ."]]}, "answers": ["-18.8%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001527", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the expected percentage change in rent expense and certain office equipment expense from 2017 to 2018?\nReference time interval: 2017-01-01 00:00:00 to 2019-01-01 00:00:00", "chosen": "-4.9%.", "rejected": "6.0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the expected percentage change in rent expense and certain office equipment expense <TIME>?", "doc_prefix": "BLK", "base_question": "what is the expected percentage change in rent expense and certain office equipment expense <TIME>?", "original_question": "what is the expected percentage change in rent expense and certain office equipment expense from 2017 to 2018?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6.0%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-4.9%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "BLK/2016/page_120.pdf-4", "qa": {"question": "what is the expected percentage change in rent expense and certain office equipment expense from 2017 to 2018?", "answer": "-4.9%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "135", "arg2": "142", "res": "-7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "142", "res": "-4.9%"}], "program": "subtract(135, 142), divide(#0, 142)", "gold_inds": {"table_1": "year the 2017 of amount is 142 ;", "table_2": "year the 2018 of amount is 135 ;"}, "exe_ans": -0.0493, "tfidftopn": {"text_25": "rent expense and certain office equipment expense under lease agreements amounted to $ 134 million , $ 136 million and $ 132 million in 2016 , 2015 and 2014 , respectively ."}, "program_re": "divide(subtract(135, 142), 142)", "model_input": [["table_1", "year the 2017 of amount is 142 ;"], ["table_2", "year the 2018 of amount is 135 ;"], ["text_25", "rent expense and certain office equipment expense under lease agreements amounted to $ 134 million , $ 136 million and $ 132 million in 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["-4.9%"]}, "rejected_source": {"id": "BLK/2016/page_120.pdf-3", "qa": {"question": "what is the expected percentage change in rent expense and certain office equipment expense in 2017?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [25], "steps": [{"op": "minus1-1", "arg1": "142", "arg2": "134", "res": "8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "134", "res": "6.0%"}], "program": "subtract(142, 134), divide(#0, 134)", "gold_inds": {"table_1": "year the 2017 of amount is 142 ;", "text_25": "rent expense and certain office equipment expense under lease agreements amounted to $ 134 million , $ 136 million and $ 132 million in 2016 , 2015 and 2014 , respectively ."}, "exe_ans": 0.0597, "tfidftopn": {"text_16": "2017 notes ."}, "program_re": "divide(subtract(142, 134), 134)", "model_input": [["table_1", "year the 2017 of amount is 142 ;"], ["table_7", "year the total of amount is $ 1038 ;"], ["text_25", "rent expense and certain office equipment expense under lease agreements amounted to $ 134 million , $ 136 million and $ 132 million in 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["6.0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001528", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what is the expected percentage change in rent expense and certain office equipment expense in 2017?\nReference time interval: 2017-01-01 00:00:00 to 2018-01-01 00:00:00", "chosen": "6.0%.", "rejected": "-4.9%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "BLK || what is the expected percentage change in rent expense and certain office equipment expense <TIME>?", "doc_prefix": "BLK", "base_question": "what is the expected percentage change in rent expense and certain office equipment expense <TIME>?", "original_question": "what is the expected percentage change in rent expense and certain office equipment expense in 2017?", "reference_time": {"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"6.0%": [{"start": "2017-01-01 00:00:00", "end": "2018-01-01 00:00:00", "normalized_text": "2017"}], "-4.9%": [{"start": "2017-01-01 00:00:00", "end": "2019-01-01 00:00:00", "normalized_text": "from 2017 to 2018"}]}, "chosen_source": {"id": "BLK/2016/page_120.pdf-3", "qa": {"question": "what is the expected percentage change in rent expense and certain office equipment expense in 2017?", "answer": "6.0%", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [25], "steps": [{"op": "minus1-1", "arg1": "142", "arg2": "134", "res": "8"}, {"op": "divide1-2", "arg1": "#0", "arg2": "134", "res": "6.0%"}], "program": "subtract(142, 134), divide(#0, 134)", "gold_inds": {"table_1": "year the 2017 of amount is 142 ;", "text_25": "rent expense and certain office equipment expense under lease agreements amounted to $ 134 million , $ 136 million and $ 132 million in 2016 , 2015 and 2014 , respectively ."}, "exe_ans": 0.0597, "tfidftopn": {"text_16": "2017 notes ."}, "program_re": "divide(subtract(142, 134), 134)", "model_input": [["table_1", "year the 2017 of amount is 142 ;"], ["table_7", "year the total of amount is $ 1038 ;"], ["text_25", "rent expense and certain office equipment expense under lease agreements amounted to $ 134 million , $ 136 million and $ 132 million in 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["6.0%"]}, "rejected_source": {"id": "BLK/2016/page_120.pdf-4", "qa": {"question": "what is the expected percentage change in rent expense and certain office equipment expense from 2017 to 2018?", "answer": "-4.9%", "explanation": "", "ann_table_rows": [1, 2], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "135", "arg2": "142", "res": "-7"}, {"op": "divide2-2", "arg1": "#0", "arg2": "142", "res": "-4.9%"}], "program": "subtract(135, 142), divide(#0, 142)", "gold_inds": {"table_1": "year the 2017 of amount is 142 ;", "table_2": "year the 2018 of amount is 135 ;"}, "exe_ans": -0.0493, "tfidftopn": {"text_25": "rent expense and certain office equipment expense under lease agreements amounted to $ 134 million , $ 136 million and $ 132 million in 2016 , 2015 and 2014 , respectively ."}, "program_re": "divide(subtract(135, 142), 142)", "model_input": [["table_1", "year the 2017 of amount is 142 ;"], ["table_2", "year the 2018 of amount is 135 ;"], ["text_25", "rent expense and certain office equipment expense under lease agreements amounted to $ 134 million , $ 136 million and $ 132 million in 2016 , 2015 and 2014 , respectively ."]]}, "answers": ["-4.9%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001529", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in fuel surcharge revenues from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "0%.", "rejected": "18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in fuel surcharge revenues <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in fuel surcharge revenues <TIME>?", "original_question": "what was the percentage change in fuel surcharge revenues from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "0%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UNP/2013/page_25.pdf-2", "qa": {"question": "what was the percentage change in fuel surcharge revenues from 2012 to 2013?", "answer": "0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "minus2-1", "arg1": "2.6", "arg2": "2.6", "res": "0"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2.6", "res": "0%"}], "program": "subtract(2.6, 2.6), divide(#0, 2.6)", "gold_inds": {"text_21": "our fuel surcharge programs generated freight revenues of $ 2.6 billion , $ 2.6 billion , and $ 2.2 billion in 2013 , 2012 , and 2011 , respectively ."}, "exe_ans": 0.0, "tfidftopn": {"table_2": "millions The other revenues of 2013 is 1279 ; The other revenues of 2012 is 1240 ; The other revenues of 2011 is 1049 ; The other revenues of % ( % ) change 2013 v 2012 is 3 ; The other revenues of % ( % ) change 2012 v 2011 is 18 ;", "text_3": "results of operations operating revenues millions 2013 2012 2011 % (  % ) change 2013 v 2012 % (  % ) change 2012 v 2011 ."}, "program_re": "divide(subtract(2.6, 2.6), 2.6)", "model_input": [["table_1", "millions the freight revenues of 2013 is $ 20684 ; the freight revenues of 2012 is $ 19686 ; the freight revenues of 2011 is $ 18508 ; the freight revenues of % ( % ) change 2013 v 2012 is 5% ( 5 % ) ; the freight revenues of % ( % ) change 2012 v 2011 is 6% ( 6 % ) ;"], ["table_3", "millions the total of 2013 is $ 21963 ; the total of 2012 is $ 20926 ; the total of 2011 is $ 19557 ; the total of % ( % ) change 2013 v 2012 is 5% ( 5 % ) ; the total of % ( % ) change 2012 v 2011 is 7% ( 7 % ) ;"], ["text_21", "our fuel surcharge programs generated freight revenues of $ 2.6 billion , $ 2.6 billion , and $ 2.2 billion in 2013 , 2012 , and 2011 , respectively ."]]}, "answers": ["0%"]}, "rejected_source": {"id": "UNP/2013/page_25.pdf-3", "qa": {"question": "what was the percentage change in fuel surcharge revenues from 2011 to 2012?", "answer": "18%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "minus1-1", "arg1": "2.6", "arg2": "2.2", "res": ".4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2.2", "res": "18%"}], "program": "subtract(2.6, 2.2), divide(#0, 2.2)", "gold_inds": {"text_21": "our fuel surcharge programs generated freight revenues of $ 2.6 billion , $ 2.6 billion , and $ 2.2 billion in 2013 , 2012 , and 2011 , respectively ."}, "exe_ans": 0.18182, "tfidftopn": {"table_2": "millions The other revenues of 2013 is 1279 ; The other revenues of 2012 is 1240 ; The other revenues of 2011 is 1049 ; The other revenues of % ( % ) change 2013 v 2012 is 3 ; The other revenues of % ( % ) change 2012 v 2011 is 18 ;", "text_3": "results of operations operating revenues millions 2013 2012 2011 % (  % ) change 2013 v 2012 % (  % ) change 2012 v 2011 ."}, "program_re": "divide(subtract(2.6, 2.2), 2.2)", "model_input": [["table_1", "millions the freight revenues of 2013 is $ 20684 ; the freight revenues of 2012 is $ 19686 ; the freight revenues of 2011 is $ 18508 ; the freight revenues of % ( % ) change 2013 v 2012 is 5% ( 5 % ) ; the freight revenues of % ( % ) change 2012 v 2011 is 6% ( 6 % ) ;"], ["table_3", "millions the total of 2013 is $ 21963 ; the total of 2012 is $ 20926 ; the total of 2011 is $ 19557 ; the total of % ( % ) change 2013 v 2012 is 5% ( 5 % ) ; the total of % ( % ) change 2012 v 2011 is 7% ( 7 % ) ;"], ["text_21", "our fuel surcharge programs generated freight revenues of $ 2.6 billion , $ 2.6 billion , and $ 2.2 billion in 2013 , 2012 , and 2011 , respectively ."]]}, "answers": ["18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001530", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in fuel surcharge revenues from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "18%.", "rejected": "0%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage change in fuel surcharge revenues <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage change in fuel surcharge revenues <TIME>?", "original_question": "what was the percentage change in fuel surcharge revenues from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "0%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "UNP/2013/page_25.pdf-3", "qa": {"question": "what was the percentage change in fuel surcharge revenues from 2011 to 2012?", "answer": "18%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "minus1-1", "arg1": "2.6", "arg2": "2.2", "res": ".4"}, {"op": "divide1-2", "arg1": "#0", "arg2": "2.2", "res": "18%"}], "program": "subtract(2.6, 2.2), divide(#0, 2.2)", "gold_inds": {"text_21": "our fuel surcharge programs generated freight revenues of $ 2.6 billion , $ 2.6 billion , and $ 2.2 billion in 2013 , 2012 , and 2011 , respectively ."}, "exe_ans": 0.18182, "tfidftopn": {"table_2": "millions The other revenues of 2013 is 1279 ; The other revenues of 2012 is 1240 ; The other revenues of 2011 is 1049 ; The other revenues of % ( % ) change 2013 v 2012 is 3 ; The other revenues of % ( % ) change 2012 v 2011 is 18 ;", "text_3": "results of operations operating revenues millions 2013 2012 2011 % (  % ) change 2013 v 2012 % (  % ) change 2012 v 2011 ."}, "program_re": "divide(subtract(2.6, 2.2), 2.2)", "model_input": [["table_1", "millions the freight revenues of 2013 is $ 20684 ; the freight revenues of 2012 is $ 19686 ; the freight revenues of 2011 is $ 18508 ; the freight revenues of % ( % ) change 2013 v 2012 is 5% ( 5 % ) ; the freight revenues of % ( % ) change 2012 v 2011 is 6% ( 6 % ) ;"], ["table_3", "millions the total of 2013 is $ 21963 ; the total of 2012 is $ 20926 ; the total of 2011 is $ 19557 ; the total of % ( % ) change 2013 v 2012 is 5% ( 5 % ) ; the total of % ( % ) change 2012 v 2011 is 7% ( 7 % ) ;"], ["text_21", "our fuel surcharge programs generated freight revenues of $ 2.6 billion , $ 2.6 billion , and $ 2.2 billion in 2013 , 2012 , and 2011 , respectively ."]]}, "answers": ["18%"]}, "rejected_source": {"id": "UNP/2013/page_25.pdf-2", "qa": {"question": "what was the percentage change in fuel surcharge revenues from 2012 to 2013?", "answer": "0%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [21], "steps": [{"op": "minus2-1", "arg1": "2.6", "arg2": "2.6", "res": "0"}, {"op": "divide2-2", "arg1": "#0", "arg2": "2.6", "res": "0%"}], "program": "subtract(2.6, 2.6), divide(#0, 2.6)", "gold_inds": {"text_21": "our fuel surcharge programs generated freight revenues of $ 2.6 billion , $ 2.6 billion , and $ 2.2 billion in 2013 , 2012 , and 2011 , respectively ."}, "exe_ans": 0.0, "tfidftopn": {"table_2": "millions The other revenues of 2013 is 1279 ; The other revenues of 2012 is 1240 ; The other revenues of 2011 is 1049 ; The other revenues of % ( % ) change 2013 v 2012 is 3 ; The other revenues of % ( % ) change 2012 v 2011 is 18 ;", "text_3": "results of operations operating revenues millions 2013 2012 2011 % (  % ) change 2013 v 2012 % (  % ) change 2012 v 2011 ."}, "program_re": "divide(subtract(2.6, 2.6), 2.6)", "model_input": [["table_1", "millions the freight revenues of 2013 is $ 20684 ; the freight revenues of 2012 is $ 19686 ; the freight revenues of 2011 is $ 18508 ; the freight revenues of % ( % ) change 2013 v 2012 is 5% ( 5 % ) ; the freight revenues of % ( % ) change 2012 v 2011 is 6% ( 6 % ) ;"], ["table_3", "millions the total of 2013 is $ 21963 ; the total of 2012 is $ 20926 ; the total of 2011 is $ 19557 ; the total of % ( % ) change 2013 v 2012 is 5% ( 5 % ) ; the total of % ( % ) change 2012 v 2011 is 7% ( 7 % ) ;"], ["text_21", "our fuel surcharge programs generated freight revenues of $ 2.6 billion , $ 2.6 billion , and $ 2.2 billion in 2013 , 2012 , and 2011 , respectively ."]]}, "answers": ["0%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001531", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in interest payments from 2007 to 2008?\nReference time interval: 2007-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "124%.", "rejected": "13%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in interest payments <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in interest payments <TIME>?", "original_question": "what was the percentage change in interest payments from 2007 to 2008?", "reference_time": {"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "124%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "PPG/2008/page_47.pdf-4", "qa": {"question": "what was the percentage change in interest payments from 2007 to 2008?", "answer": "124%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus2-1", "arg1": "228", "arg2": "102", "res": "126"}, {"op": "divide2-2", "arg1": "#0", "arg2": "102", "res": "124%"}], "program": "subtract(228, 102), divide(#0, 102)", "gold_inds": {"text_14": "interest payments in 2008 , 2007 and 2006 totaled $ 228 million , $ 102 million and $ 90 million , respectively ."}, "exe_ans": 1.23529, "tfidftopn": {"text_5": "short-term debt outstanding as of december 31 , 2008 and 2007 , was as follows : ( millions ) 2008 2007 .", "text_20": "as of december 31 , 2008 and 2007 guarantees outstanding were $ 70 million ."}, "program_re": "divide(subtract(228, 102), 102)", "model_input": [["table_5", "( millions ) the total of 2008 is $ 784 ; the total of 2007 is $ 1818 ;"], ["text_14", "interest payments in 2008 , 2007 and 2006 totaled $ 228 million , $ 102 million and $ 90 million , respectively ."], ["text_28", "the corresponding amounts as of december 31 , 2007 , were $ 1201 million and $ 1226 million , respectively ."]]}, "answers": ["124%"]}, "rejected_source": {"id": "PPG/2008/page_47.pdf-3", "qa": {"question": "what was the percentage change in interest payments from 2006 to 2007?", "answer": "13%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus1-1", "arg1": "102", "arg2": "90", "res": "12"}, {"op": "divide1-2", "arg1": "#0", "arg2": "90", "res": "13%"}], "program": "subtract(102, 90), divide(#0, 90)", "gold_inds": {"text_14": "interest payments in 2008 , 2007 and 2006 totaled $ 228 million , $ 102 million and $ 90 million , respectively ."}, "exe_ans": 0.13333, "tfidftopn": {"text_15": "rental expense for operating leases was $ 267 million , $ 188 million and $ 161 million in 2008 , 2007 and 2006 , respectively .", "text_5": "short-term debt outstanding as of december 31 , 2008 and 2007 , was as follows : ( millions ) 2008 2007 ."}, "program_re": "divide(subtract(102, 90), 90)", "model_input": [["table_5", "( millions ) the total of 2008 is $ 784 ; the total of 2007 is $ 1818 ;"], ["text_14", "interest payments in 2008 , 2007 and 2006 totaled $ 228 million , $ 102 million and $ 90 million , respectively ."], ["text_28", "the corresponding amounts as of december 31 , 2007 , were $ 1201 million and $ 1226 million , respectively ."]]}, "answers": ["13%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001532", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in interest payments from 2006 to 2007?\nReference time interval: 2006-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "13%.", "rejected": "124%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in interest payments <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in interest payments <TIME>?", "original_question": "what was the percentage change in interest payments from 2006 to 2007?", "reference_time": {"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"13%": [{"start": "2006-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2006 to 2007"}], "124%": [{"start": "2007-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "from 2007 to 2008"}]}, "chosen_source": {"id": "PPG/2008/page_47.pdf-3", "qa": {"question": "what was the percentage change in interest payments from 2006 to 2007?", "answer": "13%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus1-1", "arg1": "102", "arg2": "90", "res": "12"}, {"op": "divide1-2", "arg1": "#0", "arg2": "90", "res": "13%"}], "program": "subtract(102, 90), divide(#0, 90)", "gold_inds": {"text_14": "interest payments in 2008 , 2007 and 2006 totaled $ 228 million , $ 102 million and $ 90 million , respectively ."}, "exe_ans": 0.13333, "tfidftopn": {"text_15": "rental expense for operating leases was $ 267 million , $ 188 million and $ 161 million in 2008 , 2007 and 2006 , respectively .", "text_5": "short-term debt outstanding as of december 31 , 2008 and 2007 , was as follows : ( millions ) 2008 2007 ."}, "program_re": "divide(subtract(102, 90), 90)", "model_input": [["table_5", "( millions ) the total of 2008 is $ 784 ; the total of 2007 is $ 1818 ;"], ["text_14", "interest payments in 2008 , 2007 and 2006 totaled $ 228 million , $ 102 million and $ 90 million , respectively ."], ["text_28", "the corresponding amounts as of december 31 , 2007 , were $ 1201 million and $ 1226 million , respectively ."]]}, "answers": ["13%"]}, "rejected_source": {"id": "PPG/2008/page_47.pdf-4", "qa": {"question": "what was the percentage change in interest payments from 2007 to 2008?", "answer": "124%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [14], "steps": [{"op": "minus2-1", "arg1": "228", "arg2": "102", "res": "126"}, {"op": "divide2-2", "arg1": "#0", "arg2": "102", "res": "124%"}], "program": "subtract(228, 102), divide(#0, 102)", "gold_inds": {"text_14": "interest payments in 2008 , 2007 and 2006 totaled $ 228 million , $ 102 million and $ 90 million , respectively ."}, "exe_ans": 1.23529, "tfidftopn": {"text_5": "short-term debt outstanding as of december 31 , 2008 and 2007 , was as follows : ( millions ) 2008 2007 .", "text_20": "as of december 31 , 2008 and 2007 guarantees outstanding were $ 70 million ."}, "program_re": "divide(subtract(228, 102), 102)", "model_input": [["table_5", "( millions ) the total of 2008 is $ 784 ; the total of 2007 is $ 1818 ;"], ["text_14", "interest payments in 2008 , 2007 and 2006 totaled $ 228 million , $ 102 million and $ 90 million , respectively ."], ["text_28", "the corresponding amounts as of december 31 , 2007 , were $ 1201 million and $ 1226 million , respectively ."]]}, "answers": ["124%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001533", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the unrecognized tax benefits from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-23%.", "rejected": "4%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in the unrecognized tax benefits <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in the unrecognized tax benefits <TIME>?", "original_question": "what was the percentage change in the unrecognized tax benefits from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-23%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "4%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "PPG/2013/page_54.pdf-3", "qa": {"question": "what was the percentage change in the unrecognized tax benefits from 2011 to 2012?", "answer": "-23%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "82", "arg2": "107", "res": "-25"}, {"op": "divide1-2", "arg1": "#0", "arg2": "107", "res": "-23%"}], "program": "subtract(82, 107), divide(#0, 107)", "gold_inds": {"table_9": "( millions ) the balance at december 31 of 2013 is $ 85 ; the balance at december 31 of 2012 is $ 82 ; the balance at december 31 of 2011 is $ 107 ;"}, "exe_ans": -0.23364, "tfidftopn": {"text_11": "the company expects that any reasonably possible change in the amount of unrecognized tax benefits in the next 12 months would not be significant .", "table_5": "( millions ) The pre-acquisition unrecognized tax benefits of 2013 is 2014 ; The pre-acquisition unrecognized tax benefits of 2012 is 2 ; The pre-acquisition unrecognized tax benefits of 2011 is 2014 ;"}, "program_re": "divide(subtract(82, 107), 107)", "model_input": [["table_1", "( millions ) the balance at january 1 of 2013 is $ 82 ; the balance at january 1 of 2012 is $ 107 ; the balance at january 1 of 2011 is $ 111 ;"], ["table_5", "( millions ) the pre-acquisition unrecognized tax benefits of 2013 is 2014 ; the pre-acquisition unrecognized tax benefits of 2012 is 2 ; the pre-acquisition unrecognized tax benefits of 2011 is 2014 ;"], ["table_9", "( millions ) the balance at december 31 of 2013 is $ 85 ; the balance at december 31 of 2012 is $ 82 ; the balance at december 31 of 2011 is $ 107 ;"]]}, "answers": ["-23%"]}, "rejected_source": {"id": "PPG/2013/page_54.pdf-4", "qa": {"question": "what was the percentage change in the unrecognized tax benefits from 2012 to 2013?", "answer": "4%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "85", "arg2": "82", "res": "3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "82", "res": "4%"}], "program": "subtract(85, 82), divide(#0, 82)", "gold_inds": {"table_9": "( millions ) the balance at december 31 of 2013 is $ 85 ; the balance at december 31 of 2012 is $ 82 ; the balance at december 31 of 2011 is $ 107 ;"}, "exe_ans": 0.03659, "tfidftopn": {"text_11": "the company expects that any reasonably possible change in the amount of unrecognized tax benefits in the next 12 months would not be significant .", "table_5": "( millions ) The pre-acquisition unrecognized tax benefits of 2013 is 2014 ; The pre-acquisition unrecognized tax benefits of 2012 is 2 ; The pre-acquisition unrecognized tax benefits of 2011 is 2014 ;"}, "program_re": "divide(subtract(85, 82), 82)", "model_input": [["table_1", "( millions ) the balance at january 1 of 2013 is $ 82 ; the balance at january 1 of 2012 is $ 107 ; the balance at january 1 of 2011 is $ 111 ;"], ["table_5", "( millions ) the pre-acquisition unrecognized tax benefits of 2013 is 2014 ; the pre-acquisition unrecognized tax benefits of 2012 is 2 ; the pre-acquisition unrecognized tax benefits of 2011 is 2014 ;"], ["table_9", "( millions ) the balance at december 31 of 2013 is $ 85 ; the balance at december 31 of 2012 is $ 82 ; the balance at december 31 of 2011 is $ 107 ;"]]}, "answers": ["4%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001534", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in the unrecognized tax benefits from 2012 to 2013?\nReference time interval: 2012-01-01 00:00:00 to 2014-01-01 00:00:00", "chosen": "4%.", "rejected": "-23%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in the unrecognized tax benefits <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in the unrecognized tax benefits <TIME>?", "original_question": "what was the percentage change in the unrecognized tax benefits from 2012 to 2013?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-23%": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}], "4%": [{"start": "2012-01-01 00:00:00", "end": "2014-01-01 00:00:00", "normalized_text": "from 2012 to 2013"}]}, "chosen_source": {"id": "PPG/2013/page_54.pdf-4", "qa": {"question": "what was the percentage change in the unrecognized tax benefits from 2012 to 2013?", "answer": "4%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "85", "arg2": "82", "res": "3"}, {"op": "divide2-2", "arg1": "#0", "arg2": "82", "res": "4%"}], "program": "subtract(85, 82), divide(#0, 82)", "gold_inds": {"table_9": "( millions ) the balance at december 31 of 2013 is $ 85 ; the balance at december 31 of 2012 is $ 82 ; the balance at december 31 of 2011 is $ 107 ;"}, "exe_ans": 0.03659, "tfidftopn": {"text_11": "the company expects that any reasonably possible change in the amount of unrecognized tax benefits in the next 12 months would not be significant .", "table_5": "( millions ) The pre-acquisition unrecognized tax benefits of 2013 is 2014 ; The pre-acquisition unrecognized tax benefits of 2012 is 2 ; The pre-acquisition unrecognized tax benefits of 2011 is 2014 ;"}, "program_re": "divide(subtract(85, 82), 82)", "model_input": [["table_1", "( millions ) the balance at january 1 of 2013 is $ 82 ; the balance at january 1 of 2012 is $ 107 ; the balance at january 1 of 2011 is $ 111 ;"], ["table_5", "( millions ) the pre-acquisition unrecognized tax benefits of 2013 is 2014 ; the pre-acquisition unrecognized tax benefits of 2012 is 2 ; the pre-acquisition unrecognized tax benefits of 2011 is 2014 ;"], ["table_9", "( millions ) the balance at december 31 of 2013 is $ 85 ; the balance at december 31 of 2012 is $ 82 ; the balance at december 31 of 2011 is $ 107 ;"]]}, "answers": ["4%"]}, "rejected_source": {"id": "PPG/2013/page_54.pdf-3", "qa": {"question": "what was the percentage change in the unrecognized tax benefits from 2011 to 2012?", "answer": "-23%", "explanation": "", "ann_table_rows": [9], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "82", "arg2": "107", "res": "-25"}, {"op": "divide1-2", "arg1": "#0", "arg2": "107", "res": "-23%"}], "program": "subtract(82, 107), divide(#0, 107)", "gold_inds": {"table_9": "( millions ) the balance at december 31 of 2013 is $ 85 ; the balance at december 31 of 2012 is $ 82 ; the balance at december 31 of 2011 is $ 107 ;"}, "exe_ans": -0.23364, "tfidftopn": {"text_11": "the company expects that any reasonably possible change in the amount of unrecognized tax benefits in the next 12 months would not be significant .", "table_5": "( millions ) The pre-acquisition unrecognized tax benefits of 2013 is 2014 ; The pre-acquisition unrecognized tax benefits of 2012 is 2 ; The pre-acquisition unrecognized tax benefits of 2011 is 2014 ;"}, "program_re": "divide(subtract(82, 107), 107)", "model_input": [["table_1", "( millions ) the balance at january 1 of 2013 is $ 82 ; the balance at january 1 of 2012 is $ 107 ; the balance at january 1 of 2011 is $ 111 ;"], ["table_5", "( millions ) the pre-acquisition unrecognized tax benefits of 2013 is 2014 ; the pre-acquisition unrecognized tax benefits of 2012 is 2 ; the pre-acquisition unrecognized tax benefits of 2011 is 2014 ;"], ["table_9", "( millions ) the balance at december 31 of 2013 is $ 85 ; the balance at december 31 of 2012 is $ 82 ; the balance at december 31 of 2011 is $ 107 ;"]]}, "answers": ["-23%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001535", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage of dividends paid to cash provided by operating activities in 2016?\nReference time interval: 2016-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "25%.", "rejected": "32%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage of dividends paid to cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage of dividends paid to cash provided by operating activities <TIME>?", "original_question": "what was the percentage of dividends paid to cash provided by operating activities in 2016?", "reference_time": {"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"32%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "25%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "UNP/2016/page_24.pdf-3", "qa": {"question": "what was the percentage of dividends paid to cash provided by operating activities in 2016?", "answer": "25%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1879", "arg2": "7525", "res": "25%"}], "program": "divide(1879, 7525)", "gold_inds": {"table_1": "millions the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ; the cash provided by operating activities of 2014 is $ 7385 ;", "table_3": "millions the dividends paid of 2016 is -1879 ( 1879 ) ; the dividends paid of 2015 is -2344 ( 2344 ) ; the dividends paid of 2014 is -1632 ( 1632 ) ;"}, "exe_ans": 0.2497, "tfidftopn": {"text_0": "to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(1879, 7525)", "model_input": [["table_1", "millions the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ; the cash provided by operating activities of 2014 is $ 7385 ;"], ["table_2", "millions the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ; the cash used in investing activities of 2014 is -4249 ( 4249 ) ;"], ["table_3", "millions the dividends paid of 2016 is -1879 ( 1879 ) ; the dividends paid of 2015 is -2344 ( 2344 ) ; the dividends paid of 2014 is -1632 ( 1632 ) ;"]]}, "answers": ["25%"]}, "rejected_source": {"id": "UNP/2016/page_24.pdf-2", "qa": {"question": "what was the percentage of dividends paid to cash provided by operating activities in 2015?", "answer": "32%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2344", "arg2": "7344", "res": "32%"}], "program": "divide(2344, 7344)", "gold_inds": {"table_1": "millions the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ; the cash provided by operating activities of 2014 is $ 7385 ;", "table_3": "millions the dividends paid of 2016 is -1879 ( 1879 ) ; the dividends paid of 2015 is -2344 ( 2344 ) ; the dividends paid of 2014 is -1632 ( 1632 ) ;"}, "exe_ans": 0.31917, "tfidftopn": {"text_0": "to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(2344, 7344)", "model_input": [["table_1", "millions the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ; the cash provided by operating activities of 2014 is $ 7385 ;"], ["table_3", "millions the dividends paid of 2016 is -1879 ( 1879 ) ; the dividends paid of 2015 is -2344 ( 2344 ) ; the dividends paid of 2014 is -1632 ( 1632 ) ;"], ["text_5", "we will continue our efforts to increase detection of rail defects ; improve or close crossings ; and educate the public and law enforcement agencies about crossing safety through a combination of our own programs ( including risk assessment strategies ) , industry programs and local community activities across our network ."]]}, "answers": ["32%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001536", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage of dividends paid to cash provided by operating activities in 2015?\nReference time interval: 2015-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "32%.", "rejected": "25%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the percentage of dividends paid to cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the percentage of dividends paid to cash provided by operating activities <TIME>?", "original_question": "what was the percentage of dividends paid to cash provided by operating activities in 2015?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"32%": [{"start": "2015-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "2015"}], "25%": [{"start": "2016-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "2016"}]}, "chosen_source": {"id": "UNP/2016/page_24.pdf-2", "qa": {"question": "what was the percentage of dividends paid to cash provided by operating activities in 2015?", "answer": "32%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2344", "arg2": "7344", "res": "32%"}], "program": "divide(2344, 7344)", "gold_inds": {"table_1": "millions the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ; the cash provided by operating activities of 2014 is $ 7385 ;", "table_3": "millions the dividends paid of 2016 is -1879 ( 1879 ) ; the dividends paid of 2015 is -2344 ( 2344 ) ; the dividends paid of 2014 is -1632 ( 1632 ) ;"}, "exe_ans": 0.31917, "tfidftopn": {"text_0": "to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(2344, 7344)", "model_input": [["table_1", "millions the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ; the cash provided by operating activities of 2014 is $ 7385 ;"], ["table_3", "millions the dividends paid of 2016 is -1879 ( 1879 ) ; the dividends paid of 2015 is -2344 ( 2344 ) ; the dividends paid of 2014 is -1632 ( 1632 ) ;"], ["text_5", "we will continue our efforts to increase detection of rail defects ; improve or close crossings ; and educate the public and law enforcement agencies about crossing safety through a combination of our own programs ( including risk assessment strategies ) , industry programs and local community activities across our network ."]]}, "answers": ["32%"]}, "rejected_source": {"id": "UNP/2016/page_24.pdf-3", "qa": {"question": "what was the percentage of dividends paid to cash provided by operating activities in 2016?", "answer": "25%", "explanation": "", "ann_table_rows": [1, 3], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "1879", "arg2": "7525", "res": "25%"}], "program": "divide(1879, 7525)", "gold_inds": {"table_1": "millions the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ; the cash provided by operating activities of 2014 is $ 7385 ;", "table_3": "millions the dividends paid of 2016 is -1879 ( 1879 ) ; the dividends paid of 2015 is -2344 ( 2344 ) ; the dividends paid of 2014 is -1632 ( 1632 ) ;"}, "exe_ans": 0.2497, "tfidftopn": {"text_0": "to , rather than as a substitute for , cash provided by operating activities ."}, "program_re": "divide(1879, 7525)", "model_input": [["table_1", "millions the cash provided by operating activities of 2016 is $ 7525 ; the cash provided by operating activities of 2015 is $ 7344 ; the cash provided by operating activities of 2014 is $ 7385 ;"], ["table_2", "millions the cash used in investing activities of 2016 is -3393 ( 3393 ) ; the cash used in investing activities of 2015 is -4476 ( 4476 ) ; the cash used in investing activities of 2014 is -4249 ( 4249 ) ;"], ["table_3", "millions the dividends paid of 2016 is -1879 ( 1879 ) ; the dividends paid of 2015 is -2344 ( 2344 ) ; the dividends paid of 2014 is -1632 ( 1632 ) ;"]]}, "answers": ["25%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001537", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total freight revenues was the chemicals group in 2008?\nReference time interval: 2008-01-01 00:00:00 to 2009-01-01 00:00:00", "chosen": "15%.", "rejected": "16%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total freight revenues was the chemicals group <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total freight revenues was the chemicals group <TIME>?", "original_question": "what percent of total freight revenues was the chemicals group in 2008?", "reference_time": {"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "16%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "UNP/2009/page_61.pdf-4", "qa": {"question": "what percent of total freight revenues was the chemicals group in 2008?", "answer": "15%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2494", "arg2": "17118", "res": "15%"}], "program": "divide(2494, 17118)", "gold_inds": {"table_3": "millions of dollars the chemicals of 2009 is 2102 ; the chemicals of 2008 is 2494 ; the chemicals of 2007 is 2287 ;", "table_7": "millions of dollars the total freight revenues of 2009 is $ 13373 ; the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ;"}, "exe_ans": 0.14569, "tfidftopn": {"table_9": "millions of dollars The total operating revenues of 2009 is $ 14143 ; The total operating revenues of 2008 is $ 17970 ; The total operating revenues of 2007 is $ 16283 ;"}, "program_re": "divide(2494, 17118)", "model_input": [["table_3", "millions of dollars the chemicals of 2009 is 2102 ; the chemicals of 2008 is 2494 ; the chemicals of 2007 is 2287 ;"], ["table_7", "millions of dollars the total freight revenues of 2009 is $ 13373 ; the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ;"], ["table_9", "millions of dollars the total operating revenues of 2009 is $ 14143 ; the total operating revenues of 2008 is $ 17970 ; the total operating revenues of 2007 is $ 16283 ;"]]}, "answers": ["15%"]}, "rejected_source": {"id": "UNP/2009/page_61.pdf-3", "qa": {"question": "what percent of total freight revenues was the chemicals group in 2009?", "answer": "16%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "2102", "arg2": "13373", "res": "16%"}], "program": "divide(2102, 13373)", "gold_inds": {"table_3": "millions of dollars the chemicals of 2009 is 2102 ; the chemicals of 2008 is 2494 ; the chemicals of 2007 is 2287 ;", "table_7": "millions of dollars the total freight revenues of 2009 is $ 13373 ; the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ;"}, "exe_ans": 0.15718, "tfidftopn": {"table_9": "millions of dollars The total operating revenues of 2009 is $ 14143 ; The total operating revenues of 2008 is $ 17970 ; The total operating revenues of 2007 is $ 16283 ;"}, "program_re": "divide(2102, 13373)", "model_input": [["table_3", "millions of dollars the chemicals of 2009 is 2102 ; the chemicals of 2008 is 2494 ; the chemicals of 2007 is 2287 ;"], ["table_7", "millions of dollars the total freight revenues of 2009 is $ 13373 ; the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ;"], ["table_9", "millions of dollars the total operating revenues of 2009 is $ 14143 ; the total operating revenues of 2008 is $ 17970 ; the total operating revenues of 2007 is $ 16283 ;"]]}, "answers": ["16%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001538", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percent of total freight revenues was the chemicals group in 2009?\nReference time interval: 2009-01-01 00:00:00 to 2010-01-01 00:00:00", "chosen": "16%.", "rejected": "15%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percent of total freight revenues was the chemicals group <TIME>?", "doc_prefix": "UNP", "base_question": "what percent of total freight revenues was the chemicals group <TIME>?", "original_question": "what percent of total freight revenues was the chemicals group in 2009?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009", "time_type": "year"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"15%": [{"start": "2008-01-01 00:00:00", "end": "2009-01-01 00:00:00", "normalized_text": "2008"}], "16%": [{"start": "2009-01-01 00:00:00", "end": "2010-01-01 00:00:00", "normalized_text": "2009"}]}, "chosen_source": {"id": "UNP/2009/page_61.pdf-3", "qa": {"question": "what percent of total freight revenues was the chemicals group in 2009?", "answer": "16%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "2102", "arg2": "13373", "res": "16%"}], "program": "divide(2102, 13373)", "gold_inds": {"table_3": "millions of dollars the chemicals of 2009 is 2102 ; the chemicals of 2008 is 2494 ; the chemicals of 2007 is 2287 ;", "table_7": "millions of dollars the total freight revenues of 2009 is $ 13373 ; the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ;"}, "exe_ans": 0.15718, "tfidftopn": {"table_9": "millions of dollars The total operating revenues of 2009 is $ 14143 ; The total operating revenues of 2008 is $ 17970 ; The total operating revenues of 2007 is $ 16283 ;"}, "program_re": "divide(2102, 13373)", "model_input": [["table_3", "millions of dollars the chemicals of 2009 is 2102 ; the chemicals of 2008 is 2494 ; the chemicals of 2007 is 2287 ;"], ["table_7", "millions of dollars the total freight revenues of 2009 is $ 13373 ; the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ;"], ["table_9", "millions of dollars the total operating revenues of 2009 is $ 14143 ; the total operating revenues of 2008 is $ 17970 ; the total operating revenues of 2007 is $ 16283 ;"]]}, "answers": ["16%"]}, "rejected_source": {"id": "UNP/2009/page_61.pdf-4", "qa": {"question": "what percent of total freight revenues was the chemicals group in 2008?", "answer": "15%", "explanation": "", "ann_table_rows": [3, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "2494", "arg2": "17118", "res": "15%"}], "program": "divide(2494, 17118)", "gold_inds": {"table_3": "millions of dollars the chemicals of 2009 is 2102 ; the chemicals of 2008 is 2494 ; the chemicals of 2007 is 2287 ;", "table_7": "millions of dollars the total freight revenues of 2009 is $ 13373 ; the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ;"}, "exe_ans": 0.14569, "tfidftopn": {"table_9": "millions of dollars The total operating revenues of 2009 is $ 14143 ; The total operating revenues of 2008 is $ 17970 ; The total operating revenues of 2007 is $ 16283 ;"}, "program_re": "divide(2494, 17118)", "model_input": [["table_3", "millions of dollars the chemicals of 2009 is 2102 ; the chemicals of 2008 is 2494 ; the chemicals of 2007 is 2287 ;"], ["table_7", "millions of dollars the total freight revenues of 2009 is $ 13373 ; the total freight revenues of 2008 is $ 17118 ; the total freight revenues of 2007 is $ 15486 ;"], ["table_9", "millions of dollars the total operating revenues of 2009 is $ 14143 ; the total operating revenues of 2008 is $ 17970 ; the total operating revenues of 2007 is $ 16283 ;"]]}, "answers": ["15%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001539", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of cash provided by operating activities from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "1768.", "rejected": "288.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the change in millions of cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the change in millions of cash provided by operating activities <TIME>?", "original_question": "what was the change in millions of cash provided by operating activities from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1768": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "288": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "UNP/2012/page_34.pdf-4", "qa": {"question": "what was the change in millions of cash provided by operating activities from 2010 to 2011?", "answer": "1768", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5873", "arg2": "4105", "res": "1768"}], "program": "subtract(5873, 4105)", "gold_inds": {"table_1": "cash flowsmillions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"}, "exe_ans": 1768.0, "tfidftopn": {"text_3": "cash flows millions 2012 2011 2010 .", "table_4": "cash flowsmillions The net change in cash and cashequivalents of 2012 is $ -154 ( 154 ) ; The net change in cash and cashequivalents of 2011 is $ 131 ; The net change in cash and cashequivalents of 2010 is $ -764 ( 764 ) ;"}, "program_re": "subtract(5873, 4105)", "model_input": [["table_1", "cash flowsmillions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"], ["table_2", "cash flowsmillions the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ; the cash used in investing activities of 2010 is -2488 ( 2488 ) ;"], ["text_10", "in addition , the adoption of a new accounting standard in january of 2010 changed the accounting treatment for our receivables securitization facility from a sale of undivided interests ( recorded as an operating activity ) to a secured borrowing ( recorded as a financing activity ) , which decreased cash provided by operating activities by $ 400 million in 2010 ."]]}, "answers": ["1768"]}, "rejected_source": {"id": "UNP/2012/page_34.pdf-3", "qa": {"question": "what was the change in millions of cash provided by operating activities from 2011 to 2012?", "answer": "288", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6161", "arg2": "5873", "res": "288"}], "program": "subtract(6161, 5873)", "gold_inds": {"table_1": "cash flowsmillions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"}, "exe_ans": 288.0, "tfidftopn": {"text_3": "cash flows millions 2012 2011 2010 .", "table_4": "cash flowsmillions The net change in cash and cashequivalents of 2012 is $ -154 ( 154 ) ; The net change in cash and cashequivalents of 2011 is $ 131 ; The net change in cash and cashequivalents of 2010 is $ -764 ( 764 ) ;"}, "program_re": "subtract(6161, 5873)", "model_input": [["table_1", "cash flowsmillions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"], ["table_2", "cash flowsmillions the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ; the cash used in investing activities of 2010 is -2488 ( 2488 ) ;"], ["table_3", "cash flowsmillions the cash used in financing activities of 2012 is -2682 ( 2682 ) ; the cash used in financing activities of 2011 is -2623 ( 2623 ) ; the cash used in financing activities of 2010 is -2381 ( 2381 ) ;"]]}, "answers": ["288"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001540", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in millions of cash provided by operating activities from 2011 to 2012?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "288.", "rejected": "1768.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the change in millions of cash provided by operating activities <TIME>?", "doc_prefix": "UNP", "base_question": "what was the change in millions of cash provided by operating activities <TIME>?", "original_question": "what was the change in millions of cash provided by operating activities from 2011 to 2012?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1768": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "288": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "UNP/2012/page_34.pdf-3", "qa": {"question": "what was the change in millions of cash provided by operating activities from 2011 to 2012?", "answer": "288", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "6161", "arg2": "5873", "res": "288"}], "program": "subtract(6161, 5873)", "gold_inds": {"table_1": "cash flowsmillions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"}, "exe_ans": 288.0, "tfidftopn": {"text_3": "cash flows millions 2012 2011 2010 .", "table_4": "cash flowsmillions The net change in cash and cashequivalents of 2012 is $ -154 ( 154 ) ; The net change in cash and cashequivalents of 2011 is $ 131 ; The net change in cash and cashequivalents of 2010 is $ -764 ( 764 ) ;"}, "program_re": "subtract(6161, 5873)", "model_input": [["table_1", "cash flowsmillions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"], ["table_2", "cash flowsmillions the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ; the cash used in investing activities of 2010 is -2488 ( 2488 ) ;"], ["table_3", "cash flowsmillions the cash used in financing activities of 2012 is -2682 ( 2682 ) ; the cash used in financing activities of 2011 is -2623 ( 2623 ) ; the cash used in financing activities of 2010 is -2381 ( 2381 ) ;"]]}, "answers": ["288"]}, "rejected_source": {"id": "UNP/2012/page_34.pdf-4", "qa": {"question": "what was the change in millions of cash provided by operating activities from 2010 to 2011?", "answer": "1768", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "5873", "arg2": "4105", "res": "1768"}], "program": "subtract(5873, 4105)", "gold_inds": {"table_1": "cash flowsmillions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"}, "exe_ans": 1768.0, "tfidftopn": {"text_3": "cash flows millions 2012 2011 2010 .", "table_4": "cash flowsmillions The net change in cash and cashequivalents of 2012 is $ -154 ( 154 ) ; The net change in cash and cashequivalents of 2011 is $ 131 ; The net change in cash and cashequivalents of 2010 is $ -764 ( 764 ) ;"}, "program_re": "subtract(5873, 4105)", "model_input": [["table_1", "cash flowsmillions the cash provided by operating activities of 2012 is $ 6161 ; the cash provided by operating activities of 2011 is $ 5873 ; the cash provided by operating activities of 2010 is $ 4105 ;"], ["table_2", "cash flowsmillions the cash used in investing activities of 2012 is -3633 ( 3633 ) ; the cash used in investing activities of 2011 is -3119 ( 3119 ) ; the cash used in investing activities of 2010 is -2488 ( 2488 ) ;"], ["text_10", "in addition , the adoption of a new accounting standard in january of 2010 changed the accounting treatment for our receivables securitization facility from a sale of undivided interests ( recorded as an operating activity ) to a secured borrowing ( recorded as a financing activity ) , which decreased cash provided by operating activities by $ 400 million in 2010 ."]]}, "answers": ["1768"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001541", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total material obligations and commitments as of december 31 , 2012 are operating leases?\nReference time interval: 2012-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "16%.", "rejected": "18%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total material obligations and commitments as of december 31 , <TIME> are operating leases?", "doc_prefix": "UNP", "base_question": "what percentage of total material obligations and commitments as of december 31 , <TIME> are operating leases?", "original_question": "what percentage of total material obligations and commitments as of december 31 , 2012 are operating leases?", "reference_time": {"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "16%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "UNP/2012/page_39.pdf-4", "qa": {"question": "what percentage of total material obligations and commitments as of december 31 , 2012 are operating leases?", "answer": "16%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "4241", "arg2": "25763", "res": "16%"}], "program": "divide(4241, 25763)", "gold_inds": {"table_2": "contractual obligationsmillions the operating leases [b] of total is 4241 ; the operating leases [b] of payments due by december 31 2013 is 525 ; the operating leases [b] of payments due by december 31 2014 is 466 ; the operating leases [b] of payments due by december 31 2015 is 410 ; the operating leases [b] of payments due by december 31 2016 is 375 ; the operating leases [b] of payments due by december 31 2017 is 339 ; the operating leases [b] of payments due by december 31 after2017 is 2126 ; the operating leases [b] of payments due by december 31 other is - ;", "table_7": "contractual obligationsmillions the total contractualobligations of total is $ 25763 ; the total contractualobligations of payments due by december 31 2013 is $ 4361 ; the total contractualobligations of payments due by december 31 2014 is $ 2917 ; the total contractualobligations of payments due by december 31 2015 is $ 1712 ; the total contractualobligations of payments due by december 31 2016 is $ 1755 ; the total contractualobligations of payments due by december 31 2017 is $ 1741 ; the total contractualobligations of payments due by december 31 after2017 is $ 13130 ; the total contractualobligations of payments due by december 31 other is $ 147 ;"}, "exe_ans": 0.16462, "tfidftopn": {"text_12": "the following tables identify material obligations and commitments as of december 31 , 2012 : payments due by december 31 , contractual obligations after millions total 2013 2014 2015 2016 2017 2017 other ."}, "program_re": "divide(4241, 25763)", "model_input": [["table_2", "contractual obligationsmillions the operating leases [b] of total is 4241 ; the operating leases [b] of payments due by december 31 2013 is 525 ; the operating leases [b] of payments due by december 31 2014 is 466 ; the operating leases [b] of payments due by december 31 2015 is 410 ; the operating leases [b] of payments due by december 31 2016 is 375 ; the operating leases [b] of payments due by december 31 2017 is 339 ; the operating leases [b] of payments due by december 31 after2017 is 2126 ; the operating leases [b] of payments due by december 31 other is - ;"], ["table_7", "contractual obligationsmillions the total contractualobligations of total is $ 25763 ; the total contractualobligations of payments due by december 31 2013 is $ 4361 ; the total contractualobligations of payments due by december 31 2014 is $ 2917 ; the total contractualobligations of payments due by december 31 2015 is $ 1712 ; the total contractualobligations of payments due by december 31 2016 is $ 1755 ; the total contractualobligations of payments due by december 31 2017 is $ 1741 ; the total contractualobligations of payments due by december 31 after2017 is $ 13130 ; the total contractualobligations of payments due by december 31 other is $ 147 ;"]]}, "answers": ["16%"]}, "rejected_source": {"id": "UNP/2011/page_40.pdf-3", "qa": {"question": "what percentage of total material obligations and commitments as of december 31 , 2011 are operating leases?", "answer": "18%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4528", "arg2": "25096", "res": "18%"}], "program": "divide(4528, 25096)", "gold_inds": {"table_2": "contractual obligationsmillions the operating leases [b] of total is 4528 ; the operating leases [b] of payments due by december 31 2012 is 525 ; the operating leases [b] of payments due by december 31 2013 is 489 ; the operating leases [b] of payments due by december 31 2014 is 415 ; the operating leases [b] of payments due by december 31 2015 is 372 ; the operating leases [b] of payments due by december 31 2016 is 347 ; the operating leases [b] of payments due by december 31 after 2016 is 2380 ; the operating leases [b] of payments due by december 31 other is - ;", "table_7": "contractual obligationsmillions the total contractualobligations of total is $ 25096 ; the total contractualobligations of payments due by december 31 2012 is $ 4015 ; the total contractualobligations of payments due by december 31 2013 is $ 2204 ; the total contractualobligations of payments due by december 31 2014 is $ 2164 ; the total contractualobligations of payments due by december 31 2015 is $ 1565 ; the total contractualobligations of payments due by december 31 2016 is $ 1532 ; the total contractualobligations of payments due by december 31 after 2016 is $ 13508 ; the total contractualobligations of payments due by december 31 other is $ 108 ;"}, "exe_ans": 0.18043, "tfidftopn": {"text_11": "the following tables identify material obligations and commitments as of december 31 , 2011 : payments due by december 31 , contractual obligations after millions total 2012 2013 2014 2015 2016 2016 other ."}, "program_re": "divide(4528, 25096)", "model_input": [["table_2", "contractual obligationsmillions the operating leases [b] of total is 4528 ; the operating leases [b] of payments due by december 31 2012 is 525 ; the operating leases [b] of payments due by december 31 2013 is 489 ; the operating leases [b] of payments due by december 31 2014 is 415 ; the operating leases [b] of payments due by december 31 2015 is 372 ; the operating leases [b] of payments due by december 31 2016 is 347 ; the operating leases [b] of payments due by december 31 after 2016 is 2380 ; the operating leases [b] of payments due by december 31 other is - ;"], ["table_7", "contractual obligationsmillions the total contractualobligations of total is $ 25096 ; the total contractualobligations of payments due by december 31 2012 is $ 4015 ; the total contractualobligations of payments due by december 31 2013 is $ 2204 ; the total contractualobligations of payments due by december 31 2014 is $ 2164 ; the total contractualobligations of payments due by december 31 2015 is $ 1565 ; the total contractualobligations of payments due by december 31 2016 is $ 1532 ; the total contractualobligations of payments due by december 31 after 2016 is $ 13508 ; the total contractualobligations of payments due by december 31 other is $ 108 ;"]]}, "answers": ["18%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001542", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what percentage of total material obligations and commitments as of december 31 , 2011 are operating leases?\nReference time interval: 2011-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "18%.", "rejected": "16%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what percentage of total material obligations and commitments as of december 31 , <TIME> are operating leases?", "doc_prefix": "UNP", "base_question": "what percentage of total material obligations and commitments as of december 31 , <TIME> are operating leases?", "original_question": "what percentage of total material obligations and commitments as of december 31 , 2011 are operating leases?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011", "time_type": "year_fallback"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"18%": [{"start": "2011-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "2011"}], "16%": [{"start": "2012-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "2012"}]}, "chosen_source": {"id": "UNP/2011/page_40.pdf-3", "qa": {"question": "what percentage of total material obligations and commitments as of december 31 , 2011 are operating leases?", "answer": "18%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide2-1", "arg1": "4528", "arg2": "25096", "res": "18%"}], "program": "divide(4528, 25096)", "gold_inds": {"table_2": "contractual obligationsmillions the operating leases [b] of total is 4528 ; the operating leases [b] of payments due by december 31 2012 is 525 ; the operating leases [b] of payments due by december 31 2013 is 489 ; the operating leases [b] of payments due by december 31 2014 is 415 ; the operating leases [b] of payments due by december 31 2015 is 372 ; the operating leases [b] of payments due by december 31 2016 is 347 ; the operating leases [b] of payments due by december 31 after 2016 is 2380 ; the operating leases [b] of payments due by december 31 other is - ;", "table_7": "contractual obligationsmillions the total contractualobligations of total is $ 25096 ; the total contractualobligations of payments due by december 31 2012 is $ 4015 ; the total contractualobligations of payments due by december 31 2013 is $ 2204 ; the total contractualobligations of payments due by december 31 2014 is $ 2164 ; the total contractualobligations of payments due by december 31 2015 is $ 1565 ; the total contractualobligations of payments due by december 31 2016 is $ 1532 ; the total contractualobligations of payments due by december 31 after 2016 is $ 13508 ; the total contractualobligations of payments due by december 31 other is $ 108 ;"}, "exe_ans": 0.18043, "tfidftopn": {"text_11": "the following tables identify material obligations and commitments as of december 31 , 2011 : payments due by december 31 , contractual obligations after millions total 2012 2013 2014 2015 2016 2016 other ."}, "program_re": "divide(4528, 25096)", "model_input": [["table_2", "contractual obligationsmillions the operating leases [b] of total is 4528 ; the operating leases [b] of payments due by december 31 2012 is 525 ; the operating leases [b] of payments due by december 31 2013 is 489 ; the operating leases [b] of payments due by december 31 2014 is 415 ; the operating leases [b] of payments due by december 31 2015 is 372 ; the operating leases [b] of payments due by december 31 2016 is 347 ; the operating leases [b] of payments due by december 31 after 2016 is 2380 ; the operating leases [b] of payments due by december 31 other is - ;"], ["table_7", "contractual obligationsmillions the total contractualobligations of total is $ 25096 ; the total contractualobligations of payments due by december 31 2012 is $ 4015 ; the total contractualobligations of payments due by december 31 2013 is $ 2204 ; the total contractualobligations of payments due by december 31 2014 is $ 2164 ; the total contractualobligations of payments due by december 31 2015 is $ 1565 ; the total contractualobligations of payments due by december 31 2016 is $ 1532 ; the total contractualobligations of payments due by december 31 after 2016 is $ 13508 ; the total contractualobligations of payments due by december 31 other is $ 108 ;"]]}, "answers": ["18%"]}, "rejected_source": {"id": "UNP/2012/page_39.pdf-4", "qa": {"question": "what percentage of total material obligations and commitments as of december 31 , 2012 are operating leases?", "answer": "16%", "explanation": "", "ann_table_rows": [2, 7], "ann_text_rows": [], "steps": [{"op": "divide1-1", "arg1": "4241", "arg2": "25763", "res": "16%"}], "program": "divide(4241, 25763)", "gold_inds": {"table_2": "contractual obligationsmillions the operating leases [b] of total is 4241 ; the operating leases [b] of payments due by december 31 2013 is 525 ; the operating leases [b] of payments due by december 31 2014 is 466 ; the operating leases [b] of payments due by december 31 2015 is 410 ; the operating leases [b] of payments due by december 31 2016 is 375 ; the operating leases [b] of payments due by december 31 2017 is 339 ; the operating leases [b] of payments due by december 31 after2017 is 2126 ; the operating leases [b] of payments due by december 31 other is - ;", "table_7": "contractual obligationsmillions the total contractualobligations of total is $ 25763 ; the total contractualobligations of payments due by december 31 2013 is $ 4361 ; the total contractualobligations of payments due by december 31 2014 is $ 2917 ; the total contractualobligations of payments due by december 31 2015 is $ 1712 ; the total contractualobligations of payments due by december 31 2016 is $ 1755 ; the total contractualobligations of payments due by december 31 2017 is $ 1741 ; the total contractualobligations of payments due by december 31 after2017 is $ 13130 ; the total contractualobligations of payments due by december 31 other is $ 147 ;"}, "exe_ans": 0.16462, "tfidftopn": {"text_12": "the following tables identify material obligations and commitments as of december 31 , 2012 : payments due by december 31 , contractual obligations after millions total 2013 2014 2015 2016 2017 2017 other ."}, "program_re": "divide(4241, 25763)", "model_input": [["table_2", "contractual obligationsmillions the operating leases [b] of total is 4241 ; the operating leases [b] of payments due by december 31 2013 is 525 ; the operating leases [b] of payments due by december 31 2014 is 466 ; the operating leases [b] of payments due by december 31 2015 is 410 ; the operating leases [b] of payments due by december 31 2016 is 375 ; the operating leases [b] of payments due by december 31 2017 is 339 ; the operating leases [b] of payments due by december 31 after2017 is 2126 ; the operating leases [b] of payments due by december 31 other is - ;"], ["table_7", "contractual obligationsmillions the total contractualobligations of total is $ 25763 ; the total contractualobligations of payments due by december 31 2013 is $ 4361 ; the total contractualobligations of payments due by december 31 2014 is $ 2917 ; the total contractualobligations of payments due by december 31 2015 is $ 1712 ; the total contractualobligations of payments due by december 31 2016 is $ 1755 ; the total contractualobligations of payments due by december 31 2017 is $ 1741 ; the total contractualobligations of payments due by december 31 after2017 is $ 13130 ; the total contractualobligations of payments due by december 31 other is $ 147 ;"]]}, "answers": ["16%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001543", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in other income from 2011 to 2012 in millions?\nReference time interval: 2011-01-01 00:00:00 to 2013-01-01 00:00:00", "chosen": "-4.", "rejected": "58.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the change in other income <TIME> in millions?", "doc_prefix": "UNP", "base_question": "what was the change in other income <TIME> in millions?", "original_question": "what was the change in other income from 2011 to 2012 in millions?", "reference_time": {"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"58": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-4": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "UNP/2012/page_30.pdf-3", "qa": {"question": "what was the change in other income from 2011 to 2012 in millions?", "answer": "-4", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "108", "arg2": "112", "res": "-4"}], "program": "subtract(108, 112)", "gold_inds": {"table_1": "millions the other income of 2012 is $ 108 ; the other income of 2011 is $ 112 ; the other income of 2010 is $ 54 ; the other income of % ( % ) change 2012 v 2011 is ( 4 ) % ( % ) ; the other income of % ( % ) change 2011 v 2010 is 107% ( 107 % ) ;"}, "exe_ans": -4.0, "tfidftopn": {"text_19": "non-operating items millions 2012 2011 2010 % (  % ) change 2012 v 2011 % (  % ) change 2011 v 2010 .", "table_3": "millions The income taxes of 2012 is -2375 ( 2375 ) ; The income taxes of 2011 is -1972 ( 1972 ) ; The income taxes of 2010 is -1653 ( 1653 ) ; The income taxes of % ( % ) change 2012 v 2011 is 20% ( 20 % ) ; The income taxes of % ( % ) change 2011 v 2010 is 19% ( 19 % ) ;"}, "program_re": "subtract(108, 112)", "model_input": [["table_1", "millions the other income of 2012 is $ 108 ; the other income of 2011 is $ 112 ; the other income of 2010 is $ 54 ; the other income of % ( % ) change 2012 v 2011 is ( 4 ) % ( % ) ; the other income of % ( % ) change 2011 v 2010 is 107% ( 107 % ) ;"], ["table_3", "millions the income taxes of 2012 is -2375 ( 2375 ) ; the income taxes of 2011 is -1972 ( 1972 ) ; the income taxes of 2010 is -1653 ( 1653 ) ; the income taxes of % ( % ) change 2012 v 2011 is 20% ( 20 % ) ; the income taxes of % ( % ) change 2011 v 2010 is 19% ( 19 % ) ;"], ["text_20", "other income 2013 other income decreased in 2012 versus 2011 due to lower gains from real estate sales and higher environmental costs associated with non-operating properties , partially offset by an interest payment from a tax refund. ."]]}, "answers": ["-4"]}, "rejected_source": {"id": "UNP/2012/page_30.pdf-4", "qa": {"question": "what was the change in other income from 2010 to 2011 in millions?", "answer": "58", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "112", "arg2": "54", "res": "58"}], "program": "subtract(112, 54)", "gold_inds": {"table_1": "millions the other income of 2012 is $ 108 ; the other income of 2011 is $ 112 ; the other income of 2010 is $ 54 ; the other income of % ( % ) change 2012 v 2011 is ( 4 ) % ( % ) ; the other income of % ( % ) change 2011 v 2010 is 107% ( 107 % ) ;"}, "exe_ans": 58.0, "tfidftopn": {"text_19": "non-operating items millions 2012 2011 2010 % (  % ) change 2012 v 2011 % (  % ) change 2011 v 2010 .", "table_3": "millions The income taxes of 2012 is -2375 ( 2375 ) ; The income taxes of 2011 is -1972 ( 1972 ) ; The income taxes of 2010 is -1653 ( 1653 ) ; The income taxes of % ( % ) change 2012 v 2011 is 20% ( 20 % ) ; The income taxes of % ( % ) change 2011 v 2010 is 19% ( 19 % ) ;"}, "program_re": "subtract(112, 54)", "model_input": [["table_1", "millions the other income of 2012 is $ 108 ; the other income of 2011 is $ 112 ; the other income of 2010 is $ 54 ; the other income of % ( % ) change 2012 v 2011 is ( 4 ) % ( % ) ; the other income of % ( % ) change 2011 v 2010 is 107% ( 107 % ) ;"], ["table_3", "millions the income taxes of 2012 is -2375 ( 2375 ) ; the income taxes of 2011 is -1972 ( 1972 ) ; the income taxes of 2010 is -1653 ( 1653 ) ; the income taxes of % ( % ) change 2012 v 2011 is 20% ( 20 % ) ; the income taxes of % ( % ) change 2011 v 2010 is 19% ( 19 % ) ;"], ["text_20", "other income 2013 other income decreased in 2012 versus 2011 due to lower gains from real estate sales and higher environmental costs associated with non-operating properties , partially offset by an interest payment from a tax refund. ."]]}, "answers": ["58"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001544", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the change in other income from 2010 to 2011 in millions?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "58.", "rejected": "-4.", "meta": {"dataset": "finqa", "split": "train", "group_key": "UNP || what was the change in other income <TIME> in millions?", "doc_prefix": "UNP", "base_question": "what was the change in other income <TIME> in millions?", "original_question": "what was the change in other income from 2010 to 2011 in millions?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"58": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}], "-4": [{"start": "2011-01-01 00:00:00", "end": "2013-01-01 00:00:00", "normalized_text": "from 2011 to 2012"}]}, "chosen_source": {"id": "UNP/2012/page_30.pdf-4", "qa": {"question": "what was the change in other income from 2010 to 2011 in millions?", "answer": "58", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "112", "arg2": "54", "res": "58"}], "program": "subtract(112, 54)", "gold_inds": {"table_1": "millions the other income of 2012 is $ 108 ; the other income of 2011 is $ 112 ; the other income of 2010 is $ 54 ; the other income of % ( % ) change 2012 v 2011 is ( 4 ) % ( % ) ; the other income of % ( % ) change 2011 v 2010 is 107% ( 107 % ) ;"}, "exe_ans": 58.0, "tfidftopn": {"text_19": "non-operating items millions 2012 2011 2010 % (  % ) change 2012 v 2011 % (  % ) change 2011 v 2010 .", "table_3": "millions The income taxes of 2012 is -2375 ( 2375 ) ; The income taxes of 2011 is -1972 ( 1972 ) ; The income taxes of 2010 is -1653 ( 1653 ) ; The income taxes of % ( % ) change 2012 v 2011 is 20% ( 20 % ) ; The income taxes of % ( % ) change 2011 v 2010 is 19% ( 19 % ) ;"}, "program_re": "subtract(112, 54)", "model_input": [["table_1", "millions the other income of 2012 is $ 108 ; the other income of 2011 is $ 112 ; the other income of 2010 is $ 54 ; the other income of % ( % ) change 2012 v 2011 is ( 4 ) % ( % ) ; the other income of % ( % ) change 2011 v 2010 is 107% ( 107 % ) ;"], ["table_3", "millions the income taxes of 2012 is -2375 ( 2375 ) ; the income taxes of 2011 is -1972 ( 1972 ) ; the income taxes of 2010 is -1653 ( 1653 ) ; the income taxes of % ( % ) change 2012 v 2011 is 20% ( 20 % ) ; the income taxes of % ( % ) change 2011 v 2010 is 19% ( 19 % ) ;"], ["text_20", "other income 2013 other income decreased in 2012 versus 2011 due to lower gains from real estate sales and higher environmental costs associated with non-operating properties , partially offset by an interest payment from a tax refund. ."]]}, "answers": ["58"]}, "rejected_source": {"id": "UNP/2012/page_30.pdf-3", "qa": {"question": "what was the change in other income from 2011 to 2012 in millions?", "answer": "-4", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "108", "arg2": "112", "res": "-4"}], "program": "subtract(108, 112)", "gold_inds": {"table_1": "millions the other income of 2012 is $ 108 ; the other income of 2011 is $ 112 ; the other income of 2010 is $ 54 ; the other income of % ( % ) change 2012 v 2011 is ( 4 ) % ( % ) ; the other income of % ( % ) change 2011 v 2010 is 107% ( 107 % ) ;"}, "exe_ans": -4.0, "tfidftopn": {"text_19": "non-operating items millions 2012 2011 2010 % (  % ) change 2012 v 2011 % (  % ) change 2011 v 2010 .", "table_3": "millions The income taxes of 2012 is -2375 ( 2375 ) ; The income taxes of 2011 is -1972 ( 1972 ) ; The income taxes of 2010 is -1653 ( 1653 ) ; The income taxes of % ( % ) change 2012 v 2011 is 20% ( 20 % ) ; The income taxes of % ( % ) change 2011 v 2010 is 19% ( 19 % ) ;"}, "program_re": "subtract(108, 112)", "model_input": [["table_1", "millions the other income of 2012 is $ 108 ; the other income of 2011 is $ 112 ; the other income of 2010 is $ 54 ; the other income of % ( % ) change 2012 v 2011 is ( 4 ) % ( % ) ; the other income of % ( % ) change 2011 v 2010 is 107% ( 107 % ) ;"], ["table_3", "millions the income taxes of 2012 is -2375 ( 2375 ) ; the income taxes of 2011 is -1972 ( 1972 ) ; the income taxes of 2010 is -1653 ( 1653 ) ; the income taxes of % ( % ) change 2012 v 2011 is 20% ( 20 % ) ; the income taxes of % ( % ) change 2011 v 2010 is 19% ( 19 % ) ;"], ["text_20", "other income 2013 other income decreased in 2012 versus 2011 due to lower gains from real estate sales and higher environmental costs associated with non-operating properties , partially offset by an interest payment from a tax refund. ."]]}, "answers": ["-4"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001545", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total interest payments from 2009 to 2010?\nReference time interval: 2009-01-01 00:00:00 to 2011-01-01 00:00:00", "chosen": "-6%.", "rejected": "12%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in total interest payments <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in total interest payments <TIME>?", "original_question": "what was the percentage change in total interest payments from 2009 to 2010?", "reference_time": {"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "PPG/2011/page_46.pdf-3", "qa": {"question": "what was the percentage change in total interest payments from 2009 to 2010?", "answer": "-6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [29], "steps": [{"op": "minus2-1", "arg1": "189", "arg2": "201", "res": "-12"}, {"op": "divide2-2", "arg1": "#0", "arg2": "201", "res": "-6%"}], "program": "subtract(189, 201), divide(#0, 201)", "gold_inds": {"text_29": "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."}, "exe_ans": -0.0597, "tfidftopn": {"table_2": "( millions ) The total of 2011 is $ 33 ; The total of 2010 is $ 24 ;", "text_62": "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."}, "program_re": "divide(subtract(189, 201), 201)", "model_input": [["text_29", "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."], ["table_2", "( millions ) the total of 2011 is $ 33 ; the total of 2010 is $ 24 ;"], ["text_62", "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."]]}, "answers": ["-6%"]}, "rejected_source": {"id": "PPG/2011/page_46.pdf-1", "qa": {"question": "what was the percentage change in total interest payments from 2010 to 2011?", "answer": "12%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [29], "steps": [{"op": "minus1-1", "arg1": "212", "arg2": "189", "res": "23"}, {"op": "divide1-2", "arg1": "#0", "arg2": "189", "res": "12%"}], "program": "subtract(212, 189), divide(#0, 189)", "gold_inds": {"text_29": "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."}, "exe_ans": 0.12169, "tfidftopn": {"table_2": "( millions ) The total of 2011 is $ 33 ; The total of 2010 is $ 24 ;", "text_62": "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."}, "program_re": "divide(subtract(212, 189), 189)", "model_input": [["text_29", "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."], ["table_2", "( millions ) the total of 2011 is $ 33 ; the total of 2010 is $ 24 ;"], ["text_62", "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."]]}, "answers": ["12%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001546", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in total interest payments from 2010 to 2011?\nReference time interval: 2010-01-01 00:00:00 to 2012-01-01 00:00:00", "chosen": "12%.", "rejected": "-6%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in total interest payments <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in total interest payments <TIME>?", "original_question": "what was the percentage change in total interest payments from 2010 to 2011?", "reference_time": {"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-6%": [{"start": "2009-01-01 00:00:00", "end": "2011-01-01 00:00:00", "normalized_text": "from 2009 to 2010"}], "12%": [{"start": "2010-01-01 00:00:00", "end": "2012-01-01 00:00:00", "normalized_text": "from 2010 to 2011"}]}, "chosen_source": {"id": "PPG/2011/page_46.pdf-1", "qa": {"question": "what was the percentage change in total interest payments from 2010 to 2011?", "answer": "12%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [29], "steps": [{"op": "minus1-1", "arg1": "212", "arg2": "189", "res": "23"}, {"op": "divide1-2", "arg1": "#0", "arg2": "189", "res": "12%"}], "program": "subtract(212, 189), divide(#0, 189)", "gold_inds": {"text_29": "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."}, "exe_ans": 0.12169, "tfidftopn": {"table_2": "( millions ) The total of 2011 is $ 33 ; The total of 2010 is $ 24 ;", "text_62": "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."}, "program_re": "divide(subtract(212, 189), 189)", "model_input": [["text_29", "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."], ["table_2", "( millions ) the total of 2011 is $ 33 ; the total of 2010 is $ 24 ;"], ["text_62", "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."]]}, "answers": ["12%"]}, "rejected_source": {"id": "PPG/2011/page_46.pdf-3", "qa": {"question": "what was the percentage change in total interest payments from 2009 to 2010?", "answer": "-6%", "explanation": "", "ann_table_rows": [], "ann_text_rows": [29], "steps": [{"op": "minus2-1", "arg1": "189", "arg2": "201", "res": "-12"}, {"op": "divide2-2", "arg1": "#0", "arg2": "201", "res": "-6%"}], "program": "subtract(189, 201), divide(#0, 201)", "gold_inds": {"text_29": "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."}, "exe_ans": -0.0597, "tfidftopn": {"table_2": "( millions ) The total of 2011 is $ 33 ; The total of 2010 is $ 24 ;", "text_62": "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."}, "program_re": "divide(subtract(189, 201), 201)", "model_input": [["text_29", "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."], ["table_2", "( millions ) the total of 2011 is $ 33 ; the total of 2010 is $ 24 ;"], ["text_62", "interest payments in 2011 , 2010 and 2009 totaled $ 212 million , $ 189 million and $ 201 million , respectively ."]]}, "answers": ["-6%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001547", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average industry segment operating profits from 2004 to 2006\nReference time interval: 2004-01-01 00:00:00 to 2007-01-01 00:00:00", "chosen": "1799.7.", "rejected": "2039.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the average industry segment operating profits <TIME>", "doc_prefix": "IP", "base_question": "what was the average industry segment operating profits <TIME>", "original_question": "what was the average industry segment operating profits from 2004 to 2006", "reference_time": {"start": "2004-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2004 to 2006", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1799.7": [{"start": "2004-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2004 to 2006"}], "2039.7": [{"start": "2005-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2005 to 2007"}]}, "chosen_source": {"id": "IP/2006/page_19.pdf-3", "qa": {"question": "what was the average industry segment operating profits from 2004 to 2006", "answer": "1799.7", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "2074", "arg2": "1622", "res": "3696"}, {"op": "add2-2", "arg1": "1703", "arg2": "#0", "res": "5399"}], "program": "add(2074, 1622), add(1703, #0)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"}, "exe_ans": 5399.0, "tfidftopn": {"text_25": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_23": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "add(1703, add(2074, 1622))", "model_input": [["table_1", "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"], ["table_7", "in millions the discontinued operations of 2006 is -232 ( 232 ) ; the discontinued operations of 2005 is 416 ; the discontinued operations of 2004 is -273 ( 273 ) ;"], ["table_8", "in millions the net earnings ( loss ) of 2006 is $ 1050 ; the net earnings ( loss ) of 2005 is $ 1100 ; the net earnings ( loss ) of 2004 is $ -35 ( 35 ) ;"]]}, "answers": ["1799.7"]}, "rejected_source": {"id": "IP/2007/page_19.pdf-1", "qa": {"question": "what was the average industry segment operating profits from 2005 to 2007", "answer": "2039.7", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "2423", "arg2": "2074", "res": "4497"}, {"op": "add1-2", "arg1": "1622", "arg2": "#0", "res": "6119"}, {"op": "add1-3", "arg1": "#1", "arg2": "const_3", "res": "4079.4"}, {"op": "divide0-0", "arg1": "#2", "arg2": "const_2", "res": "2039.7"}], "program": "add(2423, 2074), add(1622, #0), add(#1, const_3), divide(#2, const_2)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"}, "exe_ans": 3061.0, "tfidftopn": {"text_15": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_13": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(add(add(1622, add(2423, 2074)), const_3), const_2)", "model_input": [["table_1", "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"], ["text_20", "industry segment operating profits of $ 2.4 billion were $ 349 million higher in 2007 than in 2006 due principally to the benefits from higher average price realizations ( $ 461 million ) , the net impact of cost reduction initiatives , improved operating perform- ance and a more favorable mix of products sold ( $ 304 million ) , higher sales volumes ( $ 17 million ) , lower special item costs ( $ 115 million ) and other items ( $ 4 million ) ."], ["text_22", "segment operating profit ( in millions ) $ 2074 ( $ 205 ) ( $ 48 ) $ 17 ( $ 244 ) $ 2423$ 4 ( $ 52 ) ( $ 101 ) $ 461 $ 1000 $ 1500 $ 2000 $ 2500 $ 3000 ."]]}, "answers": ["2039.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001548", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the average industry segment operating profits from 2005 to 2007\nReference time interval: 2005-01-01 00:00:00 to 2008-01-01 00:00:00", "chosen": "2039.7.", "rejected": "1799.7.", "meta": {"dataset": "finqa", "split": "train", "group_key": "IP || what was the average industry segment operating profits <TIME>", "doc_prefix": "IP", "base_question": "what was the average industry segment operating profits <TIME>", "original_question": "what was the average industry segment operating profits from 2005 to 2007", "reference_time": {"start": "2005-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2005 to 2007", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"1799.7": [{"start": "2004-01-01 00:00:00", "end": "2007-01-01 00:00:00", "normalized_text": "from 2004 to 2006"}], "2039.7": [{"start": "2005-01-01 00:00:00", "end": "2008-01-01 00:00:00", "normalized_text": "from 2005 to 2007"}]}, "chosen_source": {"id": "IP/2007/page_19.pdf-1", "qa": {"question": "what was the average industry segment operating profits from 2005 to 2007", "answer": "2039.7", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "add1-1", "arg1": "2423", "arg2": "2074", "res": "4497"}, {"op": "add1-2", "arg1": "1622", "arg2": "#0", "res": "6119"}, {"op": "add1-3", "arg1": "#1", "arg2": "const_3", "res": "4079.4"}, {"op": "divide0-0", "arg1": "#2", "arg2": "const_2", "res": "2039.7"}], "program": "add(2423, 2074), add(1622, #0), add(#1, const_3), divide(#2, const_2)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"}, "exe_ans": 3061.0, "tfidftopn": {"text_15": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_13": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "divide(add(add(1622, add(2423, 2074)), const_3), const_2)", "model_input": [["table_1", "in millions the industry segment operating profits of 2007 is $ 2423 ; the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ;"], ["text_20", "industry segment operating profits of $ 2.4 billion were $ 349 million higher in 2007 than in 2006 due principally to the benefits from higher average price realizations ( $ 461 million ) , the net impact of cost reduction initiatives , improved operating perform- ance and a more favorable mix of products sold ( $ 304 million ) , higher sales volumes ( $ 17 million ) , lower special item costs ( $ 115 million ) and other items ( $ 4 million ) ."], ["text_22", "segment operating profit ( in millions ) $ 2074 ( $ 205 ) ( $ 48 ) $ 17 ( $ 244 ) $ 2423$ 4 ( $ 52 ) ( $ 101 ) $ 461 $ 1000 $ 1500 $ 2000 $ 2500 $ 3000 ."]]}, "answers": ["2039.7"]}, "rejected_source": {"id": "IP/2006/page_19.pdf-3", "qa": {"question": "what was the average industry segment operating profits from 2004 to 2006", "answer": "1799.7", "explanation": "", "ann_table_rows": [1], "ann_text_rows": [], "steps": [{"op": "add2-1", "arg1": "2074", "arg2": "1622", "res": "3696"}, {"op": "add2-2", "arg1": "1703", "arg2": "#0", "res": "5399"}], "program": "add(2074, 1622), add(1703, #0)", "gold_inds": {"table_1": "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"}, "exe_ans": 5399.0, "tfidftopn": {"text_25": "industry segment operating profits are defined as earnings before taxes and minority interest , interest expense , corporate items and corporate special items .", "text_23": "results of operations industry segment operating profits are used by inter- national paper 2019s management to measure the earn- ings performance of its businesses ."}, "program_re": "add(1703, add(2074, 1622))", "model_input": [["table_1", "in millions the industry segment operating profits of 2006 is $ 2074 ; the industry segment operating profits of 2005 is $ 1622 ; the industry segment operating profits of 2004 is $ 1703 ;"], ["table_7", "in millions the discontinued operations of 2006 is -232 ( 232 ) ; the discontinued operations of 2005 is 416 ; the discontinued operations of 2004 is -273 ( 273 ) ;"], ["table_8", "in millions the net earnings ( loss ) of 2006 is $ 1050 ; the net earnings ( loss ) of 2005 is $ 1100 ; the net earnings ( loss ) of 2004 is $ -35 ( 35 ) ;"]]}, "answers": ["1799.7"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001549", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in research and development net from 2014 to 2015?\nReference time interval: 2014-01-01 00:00:00 to 2016-01-01 00:00:00", "chosen": "-1%.", "rejected": "-2%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in research and development net <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in research and development net <TIME>?", "original_question": "what was the percentage change in research and development net from 2014 to 2015?", "reference_time": {"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-2%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "PPG/2016/page_42.pdf-4", "qa": {"question": "what was the percentage change in research and development net from 2014 to 2015?", "answer": "-1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "476", "arg2": "483", "res": "-7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "483", "res": "-1%"}], "program": "subtract(476, 483), divide(#0, 483)", "gold_inds": {"table_3": "( $ in millions ) the research and development net of 2016 is $ 466 ; the research and development net of 2015 is $ 476 ; the research and development net of 2014 is $ 483 ;"}, "exe_ans": -0.01449, "tfidftopn": {"table_1": "( $ in millions ) The research and development 2013 total of 2016 is $ 487 ; The research and development 2013 total of 2015 is $ 494 ; The research and development 2013 total of 2014 is $ 499 ;", "text_20": "research and development research and development costs , which consist primarily of employee related costs , are charged to expense as incurred. ."}, "program_re": "divide(subtract(476, 483), 483)", "model_input": [["table_1", "( $ in millions ) the research and development 2013 total of 2016 is $ 487 ; the research and development 2013 total of 2015 is $ 494 ; the research and development 2013 total of 2014 is $ 499 ;"], ["table_3", "( $ in millions ) the research and development net of 2016 is $ 466 ; the research and development net of 2015 is $ 476 ; the research and development net of 2014 is $ 483 ;"], ["text_30", "marketable equity securities the company 2019s investment in marketable equity securities is recorded at fair market value and reported in 201cother current assets 201d and 201cinvestments 201d in the accompanying consolidated balance sheet with changes in fair market value recorded in income for those securities designated as trading securities and in other comprehensive income , net of tax , for those designated as available for sale securities. ."]]}, "answers": ["-1%"]}, "rejected_source": {"id": "PPG/2016/page_42.pdf-3", "qa": {"question": "what was the percentage change in research and development net from 2015 to 2016?", "answer": "-2%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "466", "arg2": "476", "res": "-10"}, {"op": "divide2-2", "arg1": "#0", "arg2": "476", "res": "-2%"}], "program": "subtract(466, 476), divide(#0, 476)", "gold_inds": {"table_3": "( $ in millions ) the research and development net of 2016 is $ 466 ; the research and development net of 2015 is $ 476 ; the research and development net of 2014 is $ 483 ;"}, "exe_ans": -0.02101, "tfidftopn": {"table_1": "( $ in millions ) The research and development 2013 total of 2016 is $ 487 ; The research and development 2013 total of 2015 is $ 494 ; The research and development 2013 total of 2014 is $ 499 ;", "text_20": "research and development research and development costs , which consist primarily of employee related costs , are charged to expense as incurred. ."}, "program_re": "divide(subtract(466, 476), 476)", "model_input": [["table_1", "( $ in millions ) the research and development 2013 total of 2016 is $ 487 ; the research and development 2013 total of 2015 is $ 494 ; the research and development 2013 total of 2014 is $ 499 ;"], ["table_3", "( $ in millions ) the research and development net of 2016 is $ 466 ; the research and development net of 2015 is $ 476 ; the research and development net of 2014 is $ 483 ;"], ["text_30", "marketable equity securities the company 2019s investment in marketable equity securities is recorded at fair market value and reported in 201cother current assets 201d and 201cinvestments 201d in the accompanying consolidated balance sheet with changes in fair market value recorded in income for those securities designated as trading securities and in other comprehensive income , net of tax , for those designated as available for sale securities. ."]]}, "answers": ["-2%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}
{"id": "finqa_train_ans_00001550", "task_type": "answer_preference", "instruction": "Answer the question according to the given reference time interval.", "input": "Question: what was the percentage change in research and development net from 2015 to 2016?\nReference time interval: 2015-01-01 00:00:00 to 2017-01-01 00:00:00", "chosen": "-2%.", "rejected": "-1%.", "meta": {"dataset": "finqa", "split": "train", "group_key": "PPG || what was the percentage change in research and development net <TIME>?", "doc_prefix": "PPG", "base_question": "what was the percentage change in research and development net <TIME>?", "original_question": "what was the percentage change in research and development net from 2015 to 2016?", "reference_time": {"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016", "time_type": "range"}, "pair_type": "same_reference_interval_different_answer", "answer_relation": "different_answer", "answer_groups": {"-1%": [{"start": "2014-01-01 00:00:00", "end": "2016-01-01 00:00:00", "normalized_text": "from 2014 to 2015"}], "-2%": [{"start": "2015-01-01 00:00:00", "end": "2017-01-01 00:00:00", "normalized_text": "from 2015 to 2016"}]}, "chosen_source": {"id": "PPG/2016/page_42.pdf-3", "qa": {"question": "what was the percentage change in research and development net from 2015 to 2016?", "answer": "-2%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus2-1", "arg1": "466", "arg2": "476", "res": "-10"}, {"op": "divide2-2", "arg1": "#0", "arg2": "476", "res": "-2%"}], "program": "subtract(466, 476), divide(#0, 476)", "gold_inds": {"table_3": "( $ in millions ) the research and development net of 2016 is $ 466 ; the research and development net of 2015 is $ 476 ; the research and development net of 2014 is $ 483 ;"}, "exe_ans": -0.02101, "tfidftopn": {"table_1": "( $ in millions ) The research and development 2013 total of 2016 is $ 487 ; The research and development 2013 total of 2015 is $ 494 ; The research and development 2013 total of 2014 is $ 499 ;", "text_20": "research and development research and development costs , which consist primarily of employee related costs , are charged to expense as incurred. ."}, "program_re": "divide(subtract(466, 476), 476)", "model_input": [["table_1", "( $ in millions ) the research and development 2013 total of 2016 is $ 487 ; the research and development 2013 total of 2015 is $ 494 ; the research and development 2013 total of 2014 is $ 499 ;"], ["table_3", "( $ in millions ) the research and development net of 2016 is $ 466 ; the research and development net of 2015 is $ 476 ; the research and development net of 2014 is $ 483 ;"], ["text_30", "marketable equity securities the company 2019s investment in marketable equity securities is recorded at fair market value and reported in 201cother current assets 201d and 201cinvestments 201d in the accompanying consolidated balance sheet with changes in fair market value recorded in income for those securities designated as trading securities and in other comprehensive income , net of tax , for those designated as available for sale securities. ."]]}, "answers": ["-2%"]}, "rejected_source": {"id": "PPG/2016/page_42.pdf-4", "qa": {"question": "what was the percentage change in research and development net from 2014 to 2015?", "answer": "-1%", "explanation": "", "ann_table_rows": [3], "ann_text_rows": [], "steps": [{"op": "minus1-1", "arg1": "476", "arg2": "483", "res": "-7"}, {"op": "divide1-2", "arg1": "#0", "arg2": "483", "res": "-1%"}], "program": "subtract(476, 483), divide(#0, 483)", "gold_inds": {"table_3": "( $ in millions ) the research and development net of 2016 is $ 466 ; the research and development net of 2015 is $ 476 ; the research and development net of 2014 is $ 483 ;"}, "exe_ans": -0.01449, "tfidftopn": {"table_1": "( $ in millions ) The research and development 2013 total of 2016 is $ 487 ; The research and development 2013 total of 2015 is $ 494 ; The research and development 2013 total of 2014 is $ 499 ;", "text_20": "research and development research and development costs , which consist primarily of employee related costs , are charged to expense as incurred. ."}, "program_re": "divide(subtract(476, 483), 483)", "model_input": [["table_1", "( $ in millions ) the research and development 2013 total of 2016 is $ 487 ; the research and development 2013 total of 2015 is $ 494 ; the research and development 2013 total of 2014 is $ 499 ;"], ["table_3", "( $ in millions ) the research and development net of 2016 is $ 466 ; the research and development net of 2015 is $ 476 ; the research and development net of 2014 is $ 483 ;"], ["text_30", "marketable equity securities the company 2019s investment in marketable equity securities is recorded at fair market value and reported in 201cother current assets 201d and 201cinvestments 201d in the accompanying consolidated balance sheet with changes in fair market value recorded in income for those securities designated as trading securities and in other comprehensive income , net of tax , for those designated as available for sale securities. ."]]}, "answers": ["-1%"]}, "is_rejected_real": true, "notes": "Constructed heuristically from grouped FinQA questions after replacing time expressions with <TIME>."}}