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Answer in millions.", + "answer": "6063.00", "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf" + "NIKE_2021_10K.pdf" ], - "n_pages": 76, - "est_tokens": 68400, + "n_pages": 109, + "est_tokens": 98100, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf" + "NIKE_2021_10K.pdf" ] } \ No newline at end of file diff --git a/q213/hard_negative_k2/question.json b/q213/hard_negative_k2/question.json index 3ac8137a9ef65da8cbe69c47fa9d83e5f13ce2e9..4da97bad44c7227a3f79382645cd2827e48b9e6a 100644 --- a/q213/hard_negative_k2/question.json +++ b/q213/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q213_hard_negative_k2", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", - "answer": "1.344", + "doc_id": "NIKE_2021_10K.pdf", + "question": "what is accrual liabilities in FY2021 for Nike? 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Answer in millions.", + "answer": "6063.00", "answer_format": "Float", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0239242bc757ccc8.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2743d591a5f362b6.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_dbe798a377955cf9.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f090f1af59a4e0e7.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f7c8a4fb24ac7362.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_74331e85a10815bd.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c53505eb5c4f8264.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_b098652d59ada239.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_0239242bc757ccc8.pdf", - "web_2743d591a5f362b6.pdf", - "web_dbe798a377955cf9.pdf", - "web_f090f1af59a4e0e7.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf", + "web_c53505eb5c4f8264.pdf", + "web_b098652d59ada239.pdf" ], - "n_pages": 383, - "est_tokens": 344700, + "n_pages": 176, + "est_tokens": 158400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_0239242bc757ccc8.pdf", - "web_2743d591a5f362b6.pdf", - "web_dbe798a377955cf9.pdf", - "web_f090f1af59a4e0e7.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf", + "web_c53505eb5c4f8264.pdf", + "web_b098652d59ada239.pdf" ] } \ No newline at end of file diff --git a/q213/random_k2/question.json b/q213/random_k2/question.json index 425dd205247b3c890620066aa320b8d11745b344..4358f50d5e3808cb2e602feb2f2fb8adcc5c80c6 100644 --- a/q213/random_k2/question.json +++ b/q213/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q213_random_k2", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", - "answer": "1.344", + "doc_id": "NIKE_2021_10K.pdf", + "question": "what is accrual liabilities in FY2021 for Nike? Answer in millions.", + "answer": "6063.00", "answer_format": "Float", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e785c997ef86f127.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/95e7e1de309007d2c70710bda64b9291b4915d26.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_3fe33e6d6d2c30bb.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_e785c997ef86f127.pdf" + "NIKE_2021_10K.pdf", + "95e7e1de309007d2c70710bda64b9291b4915d26.pdf", + "web_3fe33e6d6d2c30bb.pdf" ], - "n_pages": 108, - "est_tokens": 97200, + "n_pages": 146, + "est_tokens": 131400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_e785c997ef86f127.pdf" + "NIKE_2021_10K.pdf", + "95e7e1de309007d2c70710bda64b9291b4915d26.pdf", + "web_3fe33e6d6d2c30bb.pdf" ] } \ No newline at end of file diff --git a/q213/random_k4/question.json b/q213/random_k4/question.json index d6d84f95a7264c838085ca0f08011dacc896cf86..329e8803dfffa05233069d30c168b7195e1fbb01 100644 --- a/q213/random_k4/question.json +++ b/q213/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q213_random_k4", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is total debt to EBITDA ratio of COSTCO in FY2021?round your answer to three decimal places.", - "answer": "1.344", + "doc_id": "NIKE_2021_10K.pdf", + "question": "what is accrual liabilities in FY2021 for Nike? Answer in millions.", + "answer": "6063.00", "answer_format": "Float", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e785c997ef86f127.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0ba26c20fbd5530c.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/cac951523d6b7d1bbd014bd8b5e87afd9ecdd318.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/95e7e1de309007d2c70710bda64b9291b4915d26.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_3fe33e6d6d2c30bb.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6019e7c0934ca3b6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2c8b6d1a0ca91c7b.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_e785c997ef86f127.pdf", - "web_0ba26c20fbd5530c.pdf", - "cac951523d6b7d1bbd014bd8b5e87afd9ecdd318.pdf" + "NIKE_2021_10K.pdf", + "95e7e1de309007d2c70710bda64b9291b4915d26.pdf", + "web_3fe33e6d6d2c30bb.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_2c8b6d1a0ca91c7b.pdf" ], - "n_pages": 130, - "est_tokens": 117000, + "n_pages": 199, + "est_tokens": 179100, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_e785c997ef86f127.pdf", - "web_0ba26c20fbd5530c.pdf", - "cac951523d6b7d1bbd014bd8b5e87afd9ecdd318.pdf" + "NIKE_2021_10K.pdf", + "95e7e1de309007d2c70710bda64b9291b4915d26.pdf", + "web_3fe33e6d6d2c30bb.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_2c8b6d1a0ca91c7b.pdf" ] } \ No newline at end of file diff --git a/q214/control_k0/question.json b/q214/control_k0/question.json index fb632b36deb45be54311f1c16286cce39b691031..f7d6865c2159767b7cf92fa73f31a11d99f5aac2 100644 --- a/q214/control_k0/question.json +++ b/q214/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q214_control_k0", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is total liabilities for COSTCO in FY 2021?Answer in millions.", - "answer": "41190", - "answer_format": "Float", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What are the key categories that Nike focuses on for their brand product offerings?", + "answer": "['Running', 'Nike Basketball', 'the Jordan Brand', 'Football (Soccer)', 'Training', 'Sportswear (sports-inspired lifestyle products)']", + "answer_format": "List", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf" + "NIKE_2021_10K.pdf" ], - "n_pages": 76, - "est_tokens": 68400, + "n_pages": 109, + "est_tokens": 98100, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf" + "NIKE_2021_10K.pdf" ] } \ No newline at end of file diff --git a/q214/hard_negative_k2/question.json b/q214/hard_negative_k2/question.json index e981e7a7a36ba335a7ea976374b8a596957affbf..36714df7227579294e538c612dc154329641b56b 100644 --- a/q214/hard_negative_k2/question.json +++ b/q214/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q214_hard_negative_k2", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is total liabilities for COSTCO in FY 2021?Answer in millions.", - "answer": "41190", - "answer_format": "Float", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What are the key categories that Nike focuses on for their brand product offerings?", + "answer": "['Running', 'Nike Basketball', 'the Jordan Brand', 'Football (Soccer)', 'Training', 'Sportswear (sports-inspired lifestyle products)']", + "answer_format": "List", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0239242bc757ccc8.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2743d591a5f362b6.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f7c8a4fb24ac7362.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_74331e85a10815bd.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_0239242bc757ccc8.pdf", - "web_2743d591a5f362b6.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf" ], - "n_pages": 261, - "est_tokens": 234900, + "n_pages": 131, + "est_tokens": 117900, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_0239242bc757ccc8.pdf", - "web_2743d591a5f362b6.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf" ] } \ No newline at end of file diff --git a/q214/hard_negative_k4/question.json b/q214/hard_negative_k4/question.json index ede1b5e7b9590dbd1f02277c5707124eb9a69fda..66f6f0273f3a408f95d629ff9321fd59e37e1a9b 100644 --- a/q214/hard_negative_k4/question.json +++ b/q214/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q214_hard_negative_k4", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is total liabilities for COSTCO in FY 2021?Answer in millions.", - "answer": "41190", - "answer_format": "Float", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What are the key categories that Nike focuses on for their brand product offerings?", + "answer": "['Running', 'Nike Basketball', 'the Jordan Brand', 'Football (Soccer)', 'Training', 'Sportswear (sports-inspired lifestyle products)']", + "answer_format": "List", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0239242bc757ccc8.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2743d591a5f362b6.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_dbe798a377955cf9.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f090f1af59a4e0e7.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f7c8a4fb24ac7362.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_74331e85a10815bd.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c53505eb5c4f8264.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_b098652d59ada239.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_0239242bc757ccc8.pdf", - "web_2743d591a5f362b6.pdf", - "web_dbe798a377955cf9.pdf", - "web_f090f1af59a4e0e7.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf", + "web_c53505eb5c4f8264.pdf", + "web_b098652d59ada239.pdf" ], - "n_pages": 383, - "est_tokens": 344700, + "n_pages": 176, + "est_tokens": 158400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_0239242bc757ccc8.pdf", - "web_2743d591a5f362b6.pdf", - "web_dbe798a377955cf9.pdf", - "web_f090f1af59a4e0e7.pdf" + "NIKE_2021_10K.pdf", + "web_f7c8a4fb24ac7362.pdf", + "web_74331e85a10815bd.pdf", + "web_c53505eb5c4f8264.pdf", + "web_b098652d59ada239.pdf" ] } \ No newline at end of file diff --git a/q214/random_k2/question.json b/q214/random_k2/question.json index 128714fb225cbba29a77c35480281c12bd06c96c..6955207145158adaec7d7cb47259838f31e9aa05 100644 --- a/q214/random_k2/question.json +++ b/q214/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q214_random_k2", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is total liabilities for COSTCO in FY 2021?Answer in millions.", - "answer": "41190", - "answer_format": "Float", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What are the key categories that Nike focuses on for their brand product offerings?", + "answer": "['Running', 'Nike Basketball', 'the Jordan Brand', 'Football (Soccer)', 'Training', 'Sportswear (sports-inspired lifestyle products)']", + "answer_format": "List", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e785c997ef86f127.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/95e7e1de309007d2c70710bda64b9291b4915d26.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_3fe33e6d6d2c30bb.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_e785c997ef86f127.pdf" + "NIKE_2021_10K.pdf", + "95e7e1de309007d2c70710bda64b9291b4915d26.pdf", + "web_3fe33e6d6d2c30bb.pdf" ], - "n_pages": 108, - "est_tokens": 97200, + "n_pages": 146, + "est_tokens": 131400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf", - "web_6e0e8e11e3b04e02.pdf", - "web_e785c997ef86f127.pdf" + "NIKE_2021_10K.pdf", + "95e7e1de309007d2c70710bda64b9291b4915d26.pdf", + "web_3fe33e6d6d2c30bb.pdf" ] } \ No newline at end of file diff --git a/q214/random_k4/question.json b/q214/random_k4/question.json index 4c1ab69e384090b4e433db2cbe4ea93235d15f8c..dc0afde7128221d279b5e47fd75b8864fffbde28 100644 --- a/q214/random_k4/question.json +++ b/q214/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q214_random_k4", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "what is total liabilities for COSTCO in FY 2021?Answer in millions.", - "answer": "41190", - "answer_format": "Float", + "doc_id": "NIKE_2021_10K.pdf", + "question": "What are the key categories that Nike focuses on for their brand product offerings?", + "answer": "['Running', 'Nike Basketball', 'the Jordan Brand', 'Football (Soccer)', 'Training', 'Sportswear (sports-inspired lifestyle products)']", + "answer_format": "List", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e785c997ef86f127.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0ba26c20fbd5530c.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/cac951523d6b7d1bbd014bd8b5e87afd9ecdd318.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/95e7e1de309007d2c70710bda64b9291b4915d26.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_3fe33e6d6d2c30bb.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6019e7c0934ca3b6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2c8b6d1a0ca91c7b.pdf" ], "pdf_names": [ - 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"doc_id": "COSTCO_2021_10K.pdf", - "question": "What does Costco rely heavily on for its financial performance in FY2021?", - "answer": "the financial performance of our U.S. and Canadian operations.", - "answer_format": "Str", + "doc_id": "AMAZON_2017_10K.pdf", + "question": "what is Amazon's FY2017 debt to ebitda ratio? round your answer to three decimal ", + "answer": "1.93", + "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf" ], "pdf_names": [ - "COSTCO_2021_10K.pdf" + "AMAZON_2017_10K.pdf" ], - "n_pages": 76, - "est_tokens": 68400, + "n_pages": 85, + "est_tokens": 76500, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "COSTCO_2021_10K.pdf" + "AMAZON_2017_10K.pdf" ] } \ No newline at end of file diff --git a/q222/hard_negative_k2/question.json b/q222/hard_negative_k2/question.json index edc216276eb58ad2357afdba9570e98cf350f273..8f953d4250e12dc6bfd1a9848164442c58ae4dcc 100644 --- a/q222/hard_negative_k2/question.json +++ b/q222/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q222_hard_negative_k2", - "doc_id": "COSTCO_2021_10K.pdf", - "question": "What does Costco rely heavily on for its financial performance in FY2021?", - "answer": "the financial performance of our U.S. and Canadian operations.", - "answer_format": "Str", + "doc_id": "AMAZON_2017_10K.pdf", + "question": "what is Amazon's FY2017 debt to ebitda ratio? round your answer to three decimal ", + "answer": "1.93", + "answer_format": "Float", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0239242bc757ccc8.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2743d591a5f362b6.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_07c5b10186e9ac43.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_be38ac4d8053c697.pdf" ], "pdf_names": [ - 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"answer": "the financial performance of our U.S. and Canadian operations.", - "answer_format": "Str", + "doc_id": "AMAZON_2017_10K.pdf", + "question": "what is Amazon's FY2017 debt to ebitda ratio? round your answer to three decimal ", + "answer": "1.93", + "answer_format": "Float", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0239242bc757ccc8.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2743d591a5f362b6.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_dbe798a377955cf9.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f090f1af59a4e0e7.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_07c5b10186e9ac43.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_be38ac4d8053c697.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_1758317d02bf72f3.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ca39b8721f6d1255.pdf" ], "pdf_names": [ - 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"doc_id": "COSTCO_2021_10K.pdf", - "question": "What does Costco rely heavily on for its financial performance in FY2021?", - "answer": "the financial performance of our U.S. and Canadian operations.", - "answer_format": "Str", + "doc_id": "AMAZON_2017_10K.pdf", + "question": "what is Amazon's FY2017 debt to ebitda ratio? round your answer to three decimal ", + "answer": "1.93", + "answer_format": "Float", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e785c997ef86f127.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/1613373d607776f8ec02364ad3f75e58d620af13.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_423699b643b21d01.pdf" ], "pdf_names": [ - 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"answer": "the financial performance of our U.S. and Canadian operations.", - "answer_format": "Str", + "doc_id": "AMAZON_2017_10K.pdf", + "question": "what is Amazon's FY2017 debt to ebitda ratio? round your answer to three decimal ", + "answer": "1.93", + "answer_format": "Float", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/COSTCO_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e785c997ef86f127.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0ba26c20fbd5530c.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/cac951523d6b7d1bbd014bd8b5e87afd9ecdd318.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/1613373d607776f8ec02364ad3f75e58d620af13.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_423699b643b21d01.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/88d4b9368dcf48f2b3e788da0a5f10e87e5a3361.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_ae4d50e1f662117f.pdf" ], "pdf_names": [ - 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"doc_id": "NETFLIX_2015_10K.pdf", - "question": "What is Netflix working capital in FY2015?Answer in thousands.", - "answer": "1902216.00", - "answer_format": "Float", + "doc_id": "AMAZON_2017_10K.pdf", + "question": "How do Amazon recognize least cost?", + "answer": "straight-line basis without regard to deferred payment terms", + "answer_format": "Str", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NETFLIX_2015_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf" ], "pdf_names": [ - "NETFLIX_2015_10K.pdf" + "AMAZON_2017_10K.pdf" ], - "n_pages": 72, - "est_tokens": 64800, + "n_pages": 85, + "est_tokens": 76500, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "NETFLIX_2015_10K.pdf" + "AMAZON_2017_10K.pdf" ] } \ No newline at end of file diff --git a/q225/hard_negative_k2/question.json b/q225/hard_negative_k2/question.json index 185ccf297f95eb243bda61a7207e9ac4aa6dd1ea..48c915410492332fb3fce069b2ef5df77169db05 100644 --- a/q225/hard_negative_k2/question.json +++ b/q225/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q225_hard_negative_k2", - "doc_id": "NETFLIX_2015_10K.pdf", - "question": "What is Netflix working capital in FY2015?Answer in thousands.", - "answer": "1902216.00", - "answer_format": "Float", + "doc_id": "AMAZON_2017_10K.pdf", + "question": "How do Amazon recognize least cost?", + "answer": "straight-line basis without regard to deferred payment terms", + "answer_format": "Str", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NETFLIX_2015_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0cf212458514abec.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_252a096247d3374e.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_07c5b10186e9ac43.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_be38ac4d8053c697.pdf" ], "pdf_names": [ - "NETFLIX_2015_10K.pdf", - "web_0cf212458514abec.pdf", - "web_252a096247d3374e.pdf" + "AMAZON_2017_10K.pdf", + "web_07c5b10186e9ac43.pdf", + "web_be38ac4d8053c697.pdf" ], - "n_pages": 213, - "est_tokens": 191700, + "n_pages": 167, + "est_tokens": 150300, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "NETFLIX_2015_10K.pdf", - "web_0cf212458514abec.pdf", - "web_252a096247d3374e.pdf" + "AMAZON_2017_10K.pdf", + "web_07c5b10186e9ac43.pdf", + "web_be38ac4d8053c697.pdf" ] } \ No newline at end of file diff --git a/q225/hard_negative_k4/question.json b/q225/hard_negative_k4/question.json index 53e08e54f5a5ae038b3943c5c91825440789fa2a..2e833cfe834ef2826e0ff78c9aa2eb6ca7fbfe24 100644 --- a/q225/hard_negative_k4/question.json +++ b/q225/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q225_hard_negative_k4", - "doc_id": "NETFLIX_2015_10K.pdf", - "question": "What is Netflix working capital in FY2015?Answer in thousands.", - "answer": "1902216.00", - "answer_format": "Float", + "doc_id": "AMAZON_2017_10K.pdf", + "question": "How do Amazon recognize least cost?", + "answer": "straight-line basis without regard to deferred payment terms", + "answer_format": "Str", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NETFLIX_2015_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0cf212458514abec.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_252a096247d3374e.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_be2d7f897b96878c.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e797ebb9acb0cdd4.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_07c5b10186e9ac43.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_be38ac4d8053c697.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_1758317d02bf72f3.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ca39b8721f6d1255.pdf" ], "pdf_names": [ - "NETFLIX_2015_10K.pdf", - "web_0cf212458514abec.pdf", - "web_252a096247d3374e.pdf", - "web_be2d7f897b96878c.pdf", - "web_e797ebb9acb0cdd4.pdf" + "AMAZON_2017_10K.pdf", + "web_07c5b10186e9ac43.pdf", + "web_be38ac4d8053c697.pdf", + "web_1758317d02bf72f3.pdf", + "web_ca39b8721f6d1255.pdf" ], - "n_pages": 512, - "est_tokens": 460800, + "n_pages": 213, + "est_tokens": 191700, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "NETFLIX_2015_10K.pdf", - "web_0cf212458514abec.pdf", - "web_252a096247d3374e.pdf", - "web_be2d7f897b96878c.pdf", - "web_e797ebb9acb0cdd4.pdf" + "AMAZON_2017_10K.pdf", + "web_07c5b10186e9ac43.pdf", + "web_be38ac4d8053c697.pdf", + "web_1758317d02bf72f3.pdf", + "web_ca39b8721f6d1255.pdf" ] } \ No newline at end of file diff --git a/q225/random_k2/question.json b/q225/random_k2/question.json index 3a3426e2bbcbab7c00c2c5d68c893f135b128f96..91c691d80331ec524f3514f1d575ca8176cdb4ac 100644 --- a/q225/random_k2/question.json +++ b/q225/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q225_random_k2", - "doc_id": "NETFLIX_2015_10K.pdf", - "question": "What is Netflix working capital in FY2015?Answer in thousands.", - "answer": "1902216.00", - "answer_format": "Float", + "doc_id": "AMAZON_2017_10K.pdf", + "question": "How do Amazon recognize least cost?", + "answer": "straight-line basis without regard to deferred payment terms", + "answer_format": "Str", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NETFLIX_2015_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_c37ff5b2c1992920.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_26ccb3c73dadf54b.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/1613373d607776f8ec02364ad3f75e58d620af13.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_423699b643b21d01.pdf" ], "pdf_names": [ - "NETFLIX_2015_10K.pdf", - "web_c37ff5b2c1992920.pdf", - "web_26ccb3c73dadf54b.pdf" + "AMAZON_2017_10K.pdf", + "1613373d607776f8ec02364ad3f75e58d620af13.pdf", + "web_423699b643b21d01.pdf" ], - "n_pages": 166, - "est_tokens": 149400, + "n_pages": 116, + "est_tokens": 104400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "NETFLIX_2015_10K.pdf", - "web_c37ff5b2c1992920.pdf", - "web_26ccb3c73dadf54b.pdf" + "AMAZON_2017_10K.pdf", + "1613373d607776f8ec02364ad3f75e58d620af13.pdf", + "web_423699b643b21d01.pdf" ] } \ No newline at end of file diff --git a/q225/random_k4/question.json b/q225/random_k4/question.json index 7b0b8558e61de15ddbdfb0283fb7fcee46b08b8c..bd7b13a1fe88fbf11dc64ee7f1c81b3286b18643 100644 --- a/q225/random_k4/question.json +++ b/q225/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q225_random_k4", - "doc_id": "NETFLIX_2015_10K.pdf", - "question": "What is Netflix working capital in FY2015?Answer in thousands.", - "answer": "1902216.00", - "answer_format": "Float", + "doc_id": "AMAZON_2017_10K.pdf", + "question": "How do Amazon recognize least cost?", + "answer": "straight-line basis without regard to deferred payment terms", + "answer_format": "Str", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NETFLIX_2015_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_c37ff5b2c1992920.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_26ccb3c73dadf54b.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/5349694f4eecdd46092594856d170286c4d2fc94.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_54b7670fb9d9c193.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/1613373d607776f8ec02364ad3f75e58d620af13.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_423699b643b21d01.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/88d4b9368dcf48f2b3e788da0a5f10e87e5a3361.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_ae4d50e1f662117f.pdf" ], "pdf_names": [ - 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"doc_id": "NIKE_2021_10K.pdf", - "question": "What is cash conversion cycle in FY2021 for Nike? Round your answer to two decimal places.", - "answer": "97.40", + "doc_id": "BESTBUY_2023_10K.pdf", + "question": "what is Cash and cash equivalents for Best Buy for the fiscal year ending January 28, 2023? Answer in million", + "answer": "1874", "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf" ], "pdf_names": [ - "NIKE_2021_10K.pdf" + "BESTBUY_2023_10K.pdf" ], - "n_pages": 109, - "est_tokens": 98100, + "n_pages": 75, + "est_tokens": 67500, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "NIKE_2021_10K.pdf" + "BESTBUY_2023_10K.pdf" ] } \ No newline at end of file diff --git a/q240/hard_negative_k2/question.json b/q240/hard_negative_k2/question.json index fe4da2cdd0cce1fbec35616eaadf7a46c10c4b6d..60d4aca548b4c77845ad493dd3f33b3c4263c4e5 100644 --- a/q240/hard_negative_k2/question.json +++ b/q240/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q240_hard_negative_k2", - "doc_id": "NIKE_2021_10K.pdf", - "question": "What is cash conversion cycle in FY2021 for Nike? Round your answer to two decimal places.", - "answer": "97.40", + "doc_id": "BESTBUY_2023_10K.pdf", + "question": "what is Cash and cash equivalents for Best Buy for the fiscal year ending January 28, 2023? Answer in million", + "answer": "1874", "answer_format": "Float", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_1470bb8798a36da4.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ff63d1ff1499b95f.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_88be333a901981bb.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_839cc267cf5fcc63.pdf" ], "pdf_names": [ - "NIKE_2021_10K.pdf", - "web_1470bb8798a36da4.pdf", - "web_ff63d1ff1499b95f.pdf" + "BESTBUY_2023_10K.pdf", + "web_88be333a901981bb.pdf", + "web_839cc267cf5fcc63.pdf" ], - "n_pages": 304, - "est_tokens": 273600, + "n_pages": 106, + "est_tokens": 95400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "NIKE_2021_10K.pdf", - "web_1470bb8798a36da4.pdf", - "web_ff63d1ff1499b95f.pdf" + "BESTBUY_2023_10K.pdf", + "web_88be333a901981bb.pdf", + "web_839cc267cf5fcc63.pdf" ] } \ No newline at end of file diff --git a/q240/hard_negative_k4/question.json b/q240/hard_negative_k4/question.json index f46002e35281d8fe731a7ddf4c849bb7268c5a06..ff925ff59815e162428ca091982654a403d285e5 100644 --- a/q240/hard_negative_k4/question.json +++ b/q240/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q240_hard_negative_k4", - "doc_id": "NIKE_2021_10K.pdf", - "question": "What is cash conversion cycle in FY2021 for Nike? Round your answer to two decimal places.", - "answer": "97.40", + "doc_id": "BESTBUY_2023_10K.pdf", + "question": "what is Cash and cash equivalents for Best Buy for the fiscal year ending January 28, 2023? Answer in million", + "answer": "1874", "answer_format": "Float", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_1470bb8798a36da4.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ff63d1ff1499b95f.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_1c5e8fb003b205d7.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7658ff1d759c7d1a.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_88be333a901981bb.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_839cc267cf5fcc63.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_a01c3cada5892b96.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_2515983a9bc9da81.pdf" ], "pdf_names": [ - "NIKE_2021_10K.pdf", - "web_1470bb8798a36da4.pdf", - "web_ff63d1ff1499b95f.pdf", - "web_1c5e8fb003b205d7.pdf", - "web_7658ff1d759c7d1a.pdf" + "BESTBUY_2023_10K.pdf", + "web_88be333a901981bb.pdf", + "web_839cc267cf5fcc63.pdf", + "web_a01c3cada5892b96.pdf", + "web_2515983a9bc9da81.pdf" ], - "n_pages": 500, - "est_tokens": 450000, + "n_pages": 156, + "est_tokens": 140400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "NIKE_2021_10K.pdf", - "web_1470bb8798a36da4.pdf", - "web_ff63d1ff1499b95f.pdf", - "web_1c5e8fb003b205d7.pdf", - "web_7658ff1d759c7d1a.pdf" + "BESTBUY_2023_10K.pdf", + "web_88be333a901981bb.pdf", + "web_839cc267cf5fcc63.pdf", + "web_a01c3cada5892b96.pdf", + "web_2515983a9bc9da81.pdf" ] } \ No newline at end of file diff --git a/q240/random_k2/question.json b/q240/random_k2/question.json index 03fdbe8f6c28d12d1638df8672b4a06d598fd3e2..1fdabe3b755bda79a1f71860e060f3cd26552bbe 100644 --- a/q240/random_k2/question.json +++ b/q240/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q240_random_k2", - "doc_id": "NIKE_2021_10K.pdf", - "question": "What is cash conversion cycle in FY2021 for Nike? Round your answer to two decimal places.", - "answer": "97.40", + "doc_id": "BESTBUY_2023_10K.pdf", + "question": "what is Cash and cash equivalents for Best Buy for the fiscal year ending January 28, 2023? Answer in million", + "answer": "1874", "answer_format": "Float", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4bd30ff63805cf22.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f97f0f003de9746d.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_33eef0cb801b81ea.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_459cb41b80747aec.pdf" ], "pdf_names": [ - "NIKE_2021_10K.pdf", - "web_4bd30ff63805cf22.pdf", - "web_f97f0f003de9746d.pdf" + "BESTBUY_2023_10K.pdf", + "web_33eef0cb801b81ea.pdf", + "web_459cb41b80747aec.pdf" ], - "n_pages": 271, - "est_tokens": 243900, + "n_pages": 102, + "est_tokens": 91800, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "NIKE_2021_10K.pdf", - "web_4bd30ff63805cf22.pdf", - "web_f97f0f003de9746d.pdf" + "BESTBUY_2023_10K.pdf", + "web_33eef0cb801b81ea.pdf", + "web_459cb41b80747aec.pdf" ] } \ No newline at end of file diff --git a/q240/random_k4/question.json b/q240/random_k4/question.json index 628e9e47cd5d824f54e3c57b56f15e56318e3efc..a119432096d17aaf48e9f80f672b73dd0646ddb6 100644 --- a/q240/random_k4/question.json +++ b/q240/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q240_random_k4", - "doc_id": "NIKE_2021_10K.pdf", - "question": "What is cash conversion cycle in FY2021 for Nike? Round your answer to two decimal places.", - "answer": "97.40", + "doc_id": "BESTBUY_2023_10K.pdf", + "question": "what is Cash and cash equivalents for Best Buy for the fiscal year ending January 28, 2023? Answer in million", + "answer": "1874", "answer_format": "Float", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/NIKE_2021_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4bd30ff63805cf22.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f97f0f003de9746d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f00112ce5a1886a2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e1f46f6cf7424257.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_33eef0cb801b81ea.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_459cb41b80747aec.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_ccf5b62f39e26967.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e1c54bfb8b64fa3e.pdf" ], "pdf_names": [ - "NIKE_2021_10K.pdf", - "web_4bd30ff63805cf22.pdf", - "web_f97f0f003de9746d.pdf", - "web_f00112ce5a1886a2.pdf", - "web_e1f46f6cf7424257.pdf" + "BESTBUY_2023_10K.pdf", + "web_33eef0cb801b81ea.pdf", + "web_459cb41b80747aec.pdf", + "web_ccf5b62f39e26967.pdf", + "web_e1c54bfb8b64fa3e.pdf" ], - "n_pages": 335, - "est_tokens": 301500, + "n_pages": 157, + "est_tokens": 141300, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "NIKE_2021_10K.pdf", - "web_4bd30ff63805cf22.pdf", - "web_f97f0f003de9746d.pdf", - "web_f00112ce5a1886a2.pdf", - "web_e1f46f6cf7424257.pdf" + "BESTBUY_2023_10K.pdf", + "web_33eef0cb801b81ea.pdf", + "web_459cb41b80747aec.pdf", + "web_ccf5b62f39e26967.pdf", + "web_e1c54bfb8b64fa3e.pdf" ] } \ No newline at end of file diff --git a/q247/control_k0/question.json b/q247/control_k0/question.json index 0190d35e70b9885d89292cc4e26ed1b8daf1cf14..653125e16032da61c3f68d6c514b2c1c49f2270a 100644 --- a/q247/control_k0/question.json +++ b/q247/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q247_control_k0", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what is Amazon's FY2017 Operating Profit Margin Before Depreciation? round your answer to three decimal", - "answer": "0.073", + "doc_id": "BESTBUY_2023_10K.pdf", + "question": "what is basic earnings per ordinary share in FY2023 for Bestbuy?", + "answer": "6.31", "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf" + "BESTBUY_2023_10K.pdf" ], - "n_pages": 85, - "est_tokens": 76500, + "n_pages": 75, + "est_tokens": 67500, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf" + "BESTBUY_2023_10K.pdf" ] } \ No newline at end of file diff --git a/q247/hard_negative_k2/question.json b/q247/hard_negative_k2/question.json index a0a777b9b05b2a3eb560bf0c618d23995287dbc1..e41a66d204f6705b4f9775d22b640f269cd1994c 100644 --- a/q247/hard_negative_k2/question.json +++ b/q247/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q247_hard_negative_k2", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what is Amazon's FY2017 Operating Profit Margin Before Depreciation? round your answer to three decimal", - "answer": "0.073", + "doc_id": "BESTBUY_2023_10K.pdf", + "question": "what is basic earnings per ordinary share in FY2023 for Bestbuy?", + "answer": "6.31", "answer_format": "Float", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a4c03fb8a963832d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_707ad342af7f0e59.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_88be333a901981bb.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_839cc267cf5fcc63.pdf" ], "pdf_names": [ - 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"answer": "0.073", + "doc_id": "BESTBUY_2023_10K.pdf", + "question": "what is basic earnings per ordinary share in FY2023 for Bestbuy?", + "answer": "6.31", "answer_format": "Float", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a4c03fb8a963832d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_707ad342af7f0e59.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ca39b8721f6d1255.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_1d249d12039bf55b.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_88be333a901981bb.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_839cc267cf5fcc63.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_a01c3cada5892b96.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_2515983a9bc9da81.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf", - "web_a4c03fb8a963832d.pdf", - "web_707ad342af7f0e59.pdf", - "web_ca39b8721f6d1255.pdf", - "web_1d249d12039bf55b.pdf" + "BESTBUY_2023_10K.pdf", + "web_88be333a901981bb.pdf", + "web_839cc267cf5fcc63.pdf", + "web_a01c3cada5892b96.pdf", + "web_2515983a9bc9da81.pdf" ], - "n_pages": 408, - "est_tokens": 367200, + "n_pages": 156, + "est_tokens": 140400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf", - "web_a4c03fb8a963832d.pdf", - "web_707ad342af7f0e59.pdf", - "web_ca39b8721f6d1255.pdf", - "web_1d249d12039bf55b.pdf" + "BESTBUY_2023_10K.pdf", + "web_88be333a901981bb.pdf", + "web_839cc267cf5fcc63.pdf", + "web_a01c3cada5892b96.pdf", + "web_2515983a9bc9da81.pdf" ] } \ No newline at end of file diff --git a/q247/random_k2/question.json b/q247/random_k2/question.json index 2130e2b7ed6a90fd5e65342623fc85480c687e40..167a2a8fe81771e7336635b43dad854059cf7504 100644 --- a/q247/random_k2/question.json +++ b/q247/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q247_random_k2", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what is Amazon's FY2017 Operating Profit Margin Before Depreciation? round your answer to three decimal", - "answer": "0.073", + "doc_id": "BESTBUY_2023_10K.pdf", + "question": "what is basic earnings per ordinary share in FY2023 for Bestbuy?", + "answer": "6.31", "answer_format": "Float", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6bc8f0013b78aca4.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f253c9f7d356a5ba.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_33eef0cb801b81ea.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_459cb41b80747aec.pdf" ], "pdf_names": [ - "AMAZON_2017_10K.pdf", - "web_6bc8f0013b78aca4.pdf", - "web_f253c9f7d356a5ba.pdf" + "BESTBUY_2023_10K.pdf", + "web_33eef0cb801b81ea.pdf", + "web_459cb41b80747aec.pdf" ], - "n_pages": 165, - "est_tokens": 148500, + "n_pages": 102, + "est_tokens": 91800, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "AMAZON_2017_10K.pdf", - "web_6bc8f0013b78aca4.pdf", - "web_f253c9f7d356a5ba.pdf" + "BESTBUY_2023_10K.pdf", + "web_33eef0cb801b81ea.pdf", + "web_459cb41b80747aec.pdf" ] } \ No newline at end of file diff --git a/q247/random_k4/question.json b/q247/random_k4/question.json index 9bbf7c0a08ff526eeb0996e944decdaafac135be..f3801ab19876fae0311a9b06c64564706ecc3a39 100644 --- a/q247/random_k4/question.json +++ b/q247/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q247_random_k4", - "doc_id": "AMAZON_2017_10K.pdf", - "question": "what is Amazon's FY2017 Operating Profit Margin Before Depreciation? round your answer to three decimal", - "answer": "0.073", + "doc_id": "BESTBUY_2023_10K.pdf", + "question": "what is basic earnings per ordinary share in FY2023 for Bestbuy?", + "answer": "6.31", "answer_format": "Float", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/AMAZON_2017_10K.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6bc8f0013b78aca4.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f253c9f7d356a5ba.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_28449e05c7149be2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_826aff3b5899abff.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/BESTBUY_2023_10K.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_33eef0cb801b81ea.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_459cb41b80747aec.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_ccf5b62f39e26967.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e1c54bfb8b64fa3e.pdf" ], "pdf_names": [ - 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"/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_8cd0e969e4cbf86d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5050add9b28048e4.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_62c620511e2bf09a.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_636f4b2b870df283.pdf" ], "pdf_names": [ "379f44022bb27aa53efd5d322c7b57bf.pdf", - "web_8cd0e969e4cbf86d.pdf", - "web_5050add9b28048e4.pdf" + "web_62c620511e2bf09a.pdf", + "web_636f4b2b870df283.pdf" ], - "n_pages": 34, - "est_tokens": 30600, - "expected_route": "azure", + "n_pages": 85, + "est_tokens": 76500, + "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", "hn_1.pdf", @@ -27,7 +27,7 @@ ], "original_filenames": [ "379f44022bb27aa53efd5d322c7b57bf.pdf", - "web_8cd0e969e4cbf86d.pdf", - "web_5050add9b28048e4.pdf" + "web_62c620511e2bf09a.pdf", + "web_636f4b2b870df283.pdf" ] } \ No newline at end of file diff --git a/q30/hard_negative_k4/question.json b/q30/hard_negative_k4/question.json index 4e52a5c4d48f458b6dee40158f36c931d77ba4f1..1e60376368b0fd50931ba135b5a1a962d487586d 100644 --- a/q30/hard_negative_k4/question.json +++ b/q30/hard_negative_k4/question.json @@ -9,20 +9,20 @@ "source_position": "first", "pdf_paths": [ "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/379f44022bb27aa53efd5d322c7b57bf.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_62c620511e2bf09a.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_636f4b2b870df283.pdf", "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_8cd0e969e4cbf86d.pdf", - 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"web_c023f54cdd5f2678.pdf", - "web_636f4b2b870df283.pdf" + "web_5050add9b28048e4.pdf" ] } \ No newline at end of file diff --git a/q30/random_k2/question.json b/q30/random_k2/question.json index 6d8f46c3cb528e281e9067acbb4277ab4565a2d1..cbd747a6f6dc0526be5d69c123d734bad272dd87 100644 --- a/q30/random_k2/question.json +++ b/q30/random_k2/question.json @@ -9,16 +9,16 @@ "source_position": "first", "pdf_paths": [ "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/379f44022bb27aa53efd5d322c7b57bf.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_494e7d63f33d05e7.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b084166310a31de5.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_caf00bf724155694.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d3b2a69cee942fe5.pdf" ], "pdf_names": [ "379f44022bb27aa53efd5d322c7b57bf.pdf", - "web_494e7d63f33d05e7.pdf", - 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"/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e6e2caff9e6fa899.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_32c8ec6905da4c96.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_caf00bf724155694.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d3b2a69cee942fe5.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f97f0f003de9746d.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_22a98545da43ef5d.pdf" ], "pdf_names": [ "379f44022bb27aa53efd5d322c7b57bf.pdf", - "web_494e7d63f33d05e7.pdf", - "web_b084166310a31de5.pdf", - "web_e6e2caff9e6fa899.pdf", - "web_32c8ec6905da4c96.pdf" + "web_caf00bf724155694.pdf", + "web_d3b2a69cee942fe5.pdf", + "web_f97f0f003de9746d.pdf", + "web_22a98545da43ef5d.pdf" ], - "n_pages": 461, - "est_tokens": 414900, + "n_pages": 114, + "est_tokens": 102600, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -33,9 +33,9 @@ ], "original_filenames": [ "379f44022bb27aa53efd5d322c7b57bf.pdf", - "web_494e7d63f33d05e7.pdf", - "web_b084166310a31de5.pdf", - "web_e6e2caff9e6fa899.pdf", - "web_32c8ec6905da4c96.pdf" + "web_caf00bf724155694.pdf", + "web_d3b2a69cee942fe5.pdf", + "web_f97f0f003de9746d.pdf", + "web_22a98545da43ef5d.pdf" ] } \ No newline at end of file diff --git a/q37/control_k0/question.json b/q37/control_k0/question.json index 4f5f934c053a3978a590ffc9553df5b4b0531d73..ea98377ee5f7845684b7192b7db67ce0c69436de 100644 --- a/q37/control_k0/question.json +++ b/q37/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q37_control_k0", - "doc_id": "edb88a99670417f64a6b719646aed326.pdf", - "question": "When the complainant applied for return? Format your answer as YYYY-MM-DD.", - "answer": "2014-10-06", - "answer_format": "Str", + "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "question": "Regarding the table for 3rd sampled question for the exam, what is the total number of non-response InMails for Recruiter A and B?", + "answer": "380", + "answer_format": "Int", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/edb88a99670417f64a6b719646aed326.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf" ], "pdf_names": [ - "edb88a99670417f64a6b719646aed326.pdf" + "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf" ], - "n_pages": 20, - "est_tokens": 18000, + "n_pages": 35, + "est_tokens": 31500, "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "edb88a99670417f64a6b719646aed326.pdf" + "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf" ] } \ No newline at end of file diff --git a/q37/hard_negative_k2/question.json b/q37/hard_negative_k2/question.json index 7a1f4b4d79d3e86ed6ca0d4047ae474e2881724a..87157492d3ccdd0b47c29a9ea9b226f5cf391b48 100644 --- a/q37/hard_negative_k2/question.json +++ b/q37/hard_negative_k2/question.json @@ -1,33 +1,33 @@ { "cell_id": "q37_hard_negative_k2", - "doc_id": "edb88a99670417f64a6b719646aed326.pdf", - "question": "When the complainant applied for return? Format your answer as YYYY-MM-DD.", - "answer": "2014-10-06", - "answer_format": "Str", + "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "question": "Regarding the table for 3rd sampled question for the exam, what is the total number of non-response InMails for Recruiter A and B?", + "answer": "380", + "answer_format": "Int", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/edb88a99670417f64a6b719646aed326.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e16776a2af7348cc.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d7bdd7fddf1d7141.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5fd1943b49cb2cc1.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d1b707c616624077.pdf" ], "pdf_names": [ - "edb88a99670417f64a6b719646aed326.pdf", - "web_e16776a2af7348cc.pdf", - "web_d7bdd7fddf1d7141.pdf" + "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "web_5fd1943b49cb2cc1.pdf", + "web_d1b707c616624077.pdf" ], - "n_pages": 28, - "est_tokens": 25200, - "expected_route": "azure", + "n_pages": 67, + "est_tokens": 60300, + "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", "hn_1.pdf", "hn_2.pdf" ], "original_filenames": [ - "edb88a99670417f64a6b719646aed326.pdf", - "web_e16776a2af7348cc.pdf", - "web_d7bdd7fddf1d7141.pdf" + "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "web_5fd1943b49cb2cc1.pdf", + "web_d1b707c616624077.pdf" ] } \ No newline at end of file diff --git a/q37/hard_negative_k4/question.json b/q37/hard_negative_k4/question.json index bd27a53a5eeb3993f0bd024a6a27e06ed1d9f968..2f7ae3bec41b2bb4e064aad53c314a91ab75606c 100644 --- a/q37/hard_negative_k4/question.json +++ b/q37/hard_negative_k4/question.json @@ -1,29 +1,29 @@ { "cell_id": "q37_hard_negative_k4", - "doc_id": "edb88a99670417f64a6b719646aed326.pdf", - "question": "When the complainant applied for return? Format your answer as YYYY-MM-DD.", - "answer": "2014-10-06", - "answer_format": "Str", + "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "question": "Regarding the table for 3rd sampled question for the exam, what is the total number of non-response InMails for Recruiter A and B?", + "answer": "380", + "answer_format": "Int", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/edb88a99670417f64a6b719646aed326.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e16776a2af7348cc.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d7bdd7fddf1d7141.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2a06b0eb4c396bda.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ab28fbcd92cfea3d.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5fd1943b49cb2cc1.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d1b707c616624077.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_88f0578d817bd13f.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5747dd5ba28251fe.pdf" ], "pdf_names": [ - "edb88a99670417f64a6b719646aed326.pdf", - "web_e16776a2af7348cc.pdf", - "web_d7bdd7fddf1d7141.pdf", - "web_2a06b0eb4c396bda.pdf", - "web_ab28fbcd92cfea3d.pdf" + "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "web_5fd1943b49cb2cc1.pdf", + "web_d1b707c616624077.pdf", + "web_88f0578d817bd13f.pdf", + "web_5747dd5ba28251fe.pdf" ], - "n_pages": 42, - "est_tokens": 37800, - "expected_route": "azure", + "n_pages": 118, + "est_tokens": 106200, + "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", "hn_1.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "edb88a99670417f64a6b719646aed326.pdf", - "web_e16776a2af7348cc.pdf", - "web_d7bdd7fddf1d7141.pdf", - "web_2a06b0eb4c396bda.pdf", - "web_ab28fbcd92cfea3d.pdf" + "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "web_5fd1943b49cb2cc1.pdf", + "web_d1b707c616624077.pdf", + "web_88f0578d817bd13f.pdf", + "web_5747dd5ba28251fe.pdf" ] } \ No newline at end of file diff --git a/q37/random_k2/question.json b/q37/random_k2/question.json index 828d9764f69d7edbc9c92befb44bab48b106b717..1dc69d0d87bf24ab58695cdd1ba0b157a9332c87 100644 --- a/q37/random_k2/question.json +++ b/q37/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q37_random_k2", - "doc_id": "edb88a99670417f64a6b719646aed326.pdf", - "question": "When the complainant applied for return? Format your answer as YYYY-MM-DD.", - "answer": "2014-10-06", - "answer_format": "Str", + "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "question": "Regarding the table for 3rd sampled question for the exam, what is the total number of non-response InMails for Recruiter A and B?", + "answer": "380", + "answer_format": "Int", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/edb88a99670417f64a6b719646aed326.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_476fa6510ac4328b.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b533f3446f851e5d.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d1015c22be42ae71.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6019e7c0934ca3b6.pdf" ], "pdf_names": [ - "edb88a99670417f64a6b719646aed326.pdf", - "web_476fa6510ac4328b.pdf", - "web_b533f3446f851e5d.pdf" + "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "web_d1015c22be42ae71.pdf", + "web_6019e7c0934ca3b6.pdf" ], - "n_pages": 77, - "est_tokens": 69300, + "n_pages": 90, + "est_tokens": 81000, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "edb88a99670417f64a6b719646aed326.pdf", - "web_476fa6510ac4328b.pdf", - "web_b533f3446f851e5d.pdf" + "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "web_d1015c22be42ae71.pdf", + "web_6019e7c0934ca3b6.pdf" ] } \ No newline at end of file diff --git a/q37/random_k4/question.json b/q37/random_k4/question.json index 94d7c1d6952c520c6eeb971a8e8653811005c16f..253fe30a31c9dba8cc01c846f02cf5e6276716d2 100644 --- a/q37/random_k4/question.json +++ b/q37/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q37_random_k4", - "doc_id": "edb88a99670417f64a6b719646aed326.pdf", - "question": "When the complainant applied for return? Format your answer as YYYY-MM-DD.", - "answer": "2014-10-06", - "answer_format": "Str", + "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "question": "Regarding the table for 3rd sampled question for the exam, what is the total number of non-response InMails for Recruiter A and B?", + "answer": "380", + "answer_format": "Int", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/edb88a99670417f64a6b719646aed326.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_476fa6510ac4328b.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b533f3446f851e5d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_148c83d0202409e8.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_0ca6db9470b560c7.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d1015c22be42ae71.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6019e7c0934ca3b6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4886406d9f17960b.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c66e361d10007041.pdf" ], "pdf_names": [ - "edb88a99670417f64a6b719646aed326.pdf", - "web_476fa6510ac4328b.pdf", - "web_b533f3446f851e5d.pdf", - "web_148c83d0202409e8.pdf", - "web_0ca6db9470b560c7.pdf" + "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "web_d1015c22be42ae71.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_4886406d9f17960b.pdf", + "web_c66e361d10007041.pdf" ], - "n_pages": 184, - "est_tokens": 165600, + "n_pages": 144, + "est_tokens": 129600, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "edb88a99670417f64a6b719646aed326.pdf", - "web_476fa6510ac4328b.pdf", - "web_b533f3446f851e5d.pdf", - "web_148c83d0202409e8.pdf", - "web_0ca6db9470b560c7.pdf" + "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", + "web_d1015c22be42ae71.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_4886406d9f17960b.pdf", + "web_c66e361d10007041.pdf" ] } \ No newline at end of file diff --git a/q39/control_k0/question.json b/q39/control_k0/question.json index 98c16e0ae3fa080ff9f054dd418a6297a1e68a20..87f7cee1fe7b953ebeb8f1d1fbb2a6022187da20 100644 --- a/q39/control_k0/question.json +++ b/q39/control_k0/question.json @@ -1,9 +1,9 @@ { "cell_id": "q39_control_k0", "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "question": "Regarding the table for 3rd sampled question for the exam, how many more times did Recruiter A view profiles than Recruiter B?", - "answer": "11", - "answer_format": "Int", + "question": "What is the second FAQ shown in this slides?", + "answer": "Next-Gen Recruiter seems to eliminate the need for Boolean Search, will there still be questions about this?", + "answer_format": "Str", "condition": "control", "k": 0, "source_position": "first", diff --git a/q39/hard_negative_k2/question.json b/q39/hard_negative_k2/question.json index 7cb35b71a49f16c55f776e75d9151224ea6dc697..298ea27d1b04233b0fb242fb5ce8e3336c616871 100644 --- a/q39/hard_negative_k2/question.json +++ b/q39/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q39_hard_negative_k2", "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "question": "Regarding the table for 3rd sampled question for the exam, how many more times did Recruiter A view profiles than Recruiter B?", - "answer": "11", - "answer_format": "Int", + "question": "What is the second FAQ shown in this slides?", + "answer": "Next-Gen Recruiter seems to eliminate the need for Boolean Search, will there still be questions about this?", + "answer_format": "Str", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5747dd5ba28251fe.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5fd1943b49cb2cc1.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5fd1943b49cb2cc1.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d1b707c616624077.pdf" ], "pdf_names": [ "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "web_5747dd5ba28251fe.pdf", - "web_5fd1943b49cb2cc1.pdf" + "web_5fd1943b49cb2cc1.pdf", + "web_d1b707c616624077.pdf" ], - "n_pages": 89, - "est_tokens": 80100, + "n_pages": 67, + "est_tokens": 60300, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -27,7 +27,7 @@ ], "original_filenames": [ "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "web_5747dd5ba28251fe.pdf", - "web_5fd1943b49cb2cc1.pdf" + "web_5fd1943b49cb2cc1.pdf", + "web_d1b707c616624077.pdf" ] } \ No newline at end of file diff --git a/q39/hard_negative_k4/question.json b/q39/hard_negative_k4/question.json index 45ec9986103553f736362d872757c94b8ccd054a..445abbdc2303a6231e33599471dd1226052c1db2 100644 --- a/q39/hard_negative_k4/question.json +++ b/q39/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q39_hard_negative_k4", "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "question": "Regarding the table for 3rd sampled question for the exam, how many more times did Recruiter A view profiles than Recruiter B?", - "answer": "11", - "answer_format": "Int", + "question": "What is the second FAQ shown in this slides?", + "answer": "Next-Gen Recruiter seems to eliminate the need for Boolean Search, will there still be questions about this?", + "answer_format": "Str", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5747dd5ba28251fe.pdf", "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5fd1943b49cb2cc1.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d1b707c616624077.pdf", "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_88f0578d817bd13f.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_29d877217042d56f.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5747dd5ba28251fe.pdf" ], "pdf_names": [ "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "web_5747dd5ba28251fe.pdf", "web_5fd1943b49cb2cc1.pdf", + "web_d1b707c616624077.pdf", "web_88f0578d817bd13f.pdf", - "web_29d877217042d56f.pdf" + "web_5747dd5ba28251fe.pdf" ], - "n_pages": 115, - "est_tokens": 103500, + "n_pages": 118, + "est_tokens": 106200, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -33,9 +33,9 @@ ], "original_filenames": [ "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "web_5747dd5ba28251fe.pdf", "web_5fd1943b49cb2cc1.pdf", + "web_d1b707c616624077.pdf", "web_88f0578d817bd13f.pdf", - "web_29d877217042d56f.pdf" + "web_5747dd5ba28251fe.pdf" ] } \ No newline at end of file diff --git a/q39/random_k2/question.json b/q39/random_k2/question.json index a3a81dd14069d7b38605f1dfc3e199e4ab831cc3..5879090e38041883247687b8b29945930cf681ca 100644 --- a/q39/random_k2/question.json +++ b/q39/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q39_random_k2", "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "question": "Regarding the table for 3rd sampled question for the exam, how many more times did Recruiter A view profiles than Recruiter B?", - "answer": "11", - "answer_format": "Int", + "question": "What is the second FAQ shown in this slides?", + "answer": "Next-Gen Recruiter seems to eliminate the need for Boolean Search, will there still be questions about this?", + "answer_format": "Str", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9deb1a47e107dc04.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f21e7860c8d9c779.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d1015c22be42ae71.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6019e7c0934ca3b6.pdf" ], "pdf_names": [ "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "web_9deb1a47e107dc04.pdf", - "web_f21e7860c8d9c779.pdf" + "web_d1015c22be42ae71.pdf", + "web_6019e7c0934ca3b6.pdf" ], - "n_pages": 79, - "est_tokens": 71100, + "n_pages": 90, + "est_tokens": 81000, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -27,7 +27,7 @@ ], "original_filenames": [ "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "web_9deb1a47e107dc04.pdf", - "web_f21e7860c8d9c779.pdf" + "web_d1015c22be42ae71.pdf", + "web_6019e7c0934ca3b6.pdf" ] } \ No newline at end of file diff --git a/q39/random_k4/question.json b/q39/random_k4/question.json index da0e098c92469af57dd72a7f84978929429a1407..66eaaf40b67dd1fb6b7e628668bb114db7bd82c1 100644 --- a/q39/random_k4/question.json +++ b/q39/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q39_random_k4", "doc_id": "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "question": "Regarding the table for 3rd sampled question for the exam, how many more times did Recruiter A view profiles than Recruiter B?", - "answer": "11", - "answer_format": "Int", + "question": "What is the second FAQ shown in this slides?", + "answer": "Next-Gen Recruiter seems to eliminate the need for Boolean Search, will there still be questions about this?", + "answer_format": "Str", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_9deb1a47e107dc04.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f21e7860c8d9c779.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_54e5ed38ff6e9c8d.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_974a02e9fcc23ca9.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d1015c22be42ae71.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6019e7c0934ca3b6.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4886406d9f17960b.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c66e361d10007041.pdf" ], "pdf_names": [ "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "web_9deb1a47e107dc04.pdf", - "web_f21e7860c8d9c779.pdf", - "web_54e5ed38ff6e9c8d.pdf", - "web_974a02e9fcc23ca9.pdf" + "web_d1015c22be42ae71.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_4886406d9f17960b.pdf", + "web_c66e361d10007041.pdf" ], - "n_pages": 117, - "est_tokens": 105300, + "n_pages": 144, + "est_tokens": 129600, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -33,9 +33,9 @@ ], "original_filenames": [ "finalpresentationdeck-whatwhyhowofcertificationsocial-160324220748_95.pdf", - "web_9deb1a47e107dc04.pdf", - "web_f21e7860c8d9c779.pdf", - "web_54e5ed38ff6e9c8d.pdf", - "web_974a02e9fcc23ca9.pdf" + "web_d1015c22be42ae71.pdf", + "web_6019e7c0934ca3b6.pdf", + "web_4886406d9f17960b.pdf", + "web_c66e361d10007041.pdf" ] } \ No newline at end of file diff --git a/q52/control_k0/question.json b/q52/control_k0/question.json index a4daf2cd6d48ba1f08dd13e8a4702f22a1037e7e..b44d26ec628aac1fa834c47991df23b322caab46 100644 --- a/q52/control_k0/question.json +++ b/q52/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q52_control_k0", - "doc_id": "2311.16502v3.pdf", - "question": "According to this paper, What's the GPT-4V's performance difference between CS subject and math subject on MMMU datasets? ", - "answer": "12.1%", - "answer_format": "Float", + "doc_id": "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "question": "Which group accounts for the second largest share in terms of religious demographics in Slide 4 in 2014?", + "answer": "Christians", + "answer_format": "Str", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2311.16502v3.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf" ], "pdf_names": [ - "2311.16502v3.pdf" + "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf" ], - "n_pages": 117, - "est_tokens": 105300, - "expected_route": "openrouter", + "n_pages": 38, + "est_tokens": 34200, + "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "2311.16502v3.pdf" + "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf" ] } \ No newline at end of file diff --git a/q52/hard_negative_k2/question.json b/q52/hard_negative_k2/question.json index 44114324a6f9bbeaa4f172c50de2e6cf9318ce24..d39d478ea46b3ce26a260f6a94a97fc76ecfedfb 100644 --- a/q52/hard_negative_k2/question.json +++ b/q52/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q52_hard_negative_k2", - "doc_id": "2311.16502v3.pdf", - "question": "According to this paper, What's the GPT-4V's performance difference between CS subject and math subject on MMMU datasets? ", - "answer": "12.1%", - "answer_format": "Float", + "doc_id": "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "question": "Which group accounts for the second largest share in terms of religious demographics in Slide 4 in 2014?", + "answer": "Christians", + "answer_format": "Str", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2311.16502v3.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/9d6dd6cb77c10c1f86d44bdf3fe6f0602e49d86f.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/984e1ce91a6d9c30560e6c080bb62a819f8c2fe8.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a599d1b03986f1ae.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b0e968208d33ea2d.pdf" ], "pdf_names": [ - "2311.16502v3.pdf", - "9d6dd6cb77c10c1f86d44bdf3fe6f0602e49d86f.pdf", - "984e1ce91a6d9c30560e6c080bb62a819f8c2fe8.pdf" + "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "web_a599d1b03986f1ae.pdf", + "web_b0e968208d33ea2d.pdf" ], - "n_pages": 239, - "est_tokens": 215100, + "n_pages": 82, + "est_tokens": 73800, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "2311.16502v3.pdf", - "9d6dd6cb77c10c1f86d44bdf3fe6f0602e49d86f.pdf", - "984e1ce91a6d9c30560e6c080bb62a819f8c2fe8.pdf" + "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "web_a599d1b03986f1ae.pdf", + "web_b0e968208d33ea2d.pdf" ] } \ No newline at end of file diff --git a/q52/hard_negative_k4/question.json b/q52/hard_negative_k4/question.json index 264461169b71e172c394cf81c8eb3d1b60e435cb..7e8e3d852d70acdf1fd1f8d103c4728e53fa3187 100644 --- a/q52/hard_negative_k4/question.json +++ b/q52/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q52_hard_negative_k4", - "doc_id": "2311.16502v3.pdf", - "question": "According to this paper, What's the GPT-4V's performance difference between CS subject and math subject on MMMU datasets? ", - "answer": "12.1%", - "answer_format": "Float", + "doc_id": "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "question": "Which group accounts for the second largest share in terms of religious demographics in Slide 4 in 2014?", + "answer": "Christians", + "answer_format": "Str", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2311.16502v3.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/9d6dd6cb77c10c1f86d44bdf3fe6f0602e49d86f.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/984e1ce91a6d9c30560e6c080bb62a819f8c2fe8.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b8c0300ba8d967a7.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_39bfafe84a4aff52.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_a599d1b03986f1ae.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b0e968208d33ea2d.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_c4b48f5409e60c35.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b3c7755f9510022a.pdf" ], "pdf_names": [ - "2311.16502v3.pdf", - "9d6dd6cb77c10c1f86d44bdf3fe6f0602e49d86f.pdf", - "984e1ce91a6d9c30560e6c080bb62a819f8c2fe8.pdf", - "web_b8c0300ba8d967a7.pdf", - "web_39bfafe84a4aff52.pdf" + "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "web_a599d1b03986f1ae.pdf", + "web_b0e968208d33ea2d.pdf", + "web_c4b48f5409e60c35.pdf", + "web_b3c7755f9510022a.pdf" ], - "n_pages": 272, - "est_tokens": 244800, + "n_pages": 151, + "est_tokens": 135900, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "2311.16502v3.pdf", - "9d6dd6cb77c10c1f86d44bdf3fe6f0602e49d86f.pdf", - "984e1ce91a6d9c30560e6c080bb62a819f8c2fe8.pdf", - "web_b8c0300ba8d967a7.pdf", - "web_39bfafe84a4aff52.pdf" + "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "web_a599d1b03986f1ae.pdf", + "web_b0e968208d33ea2d.pdf", + "web_c4b48f5409e60c35.pdf", + "web_b3c7755f9510022a.pdf" ] } \ No newline at end of file diff --git a/q52/random_k2/question.json b/q52/random_k2/question.json index e3ec9ebc7524569f0f8a6e09e404d83c55246381..9e34d90981b733abe4db57a99db868e9d0f32021 100644 --- a/q52/random_k2/question.json +++ b/q52/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q52_random_k2", - "doc_id": "2311.16502v3.pdf", - "question": "According to this paper, What's the GPT-4V's performance difference between CS subject and math subject on MMMU datasets? ", - "answer": "12.1%", - "answer_format": "Float", + "doc_id": "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "question": "Which group accounts for the second largest share in terms of religious demographics in Slide 4 in 2014?", + "answer": "Christians", + "answer_format": "Str", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2311.16502v3.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6c246a9c943f3cd0.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ca0da58ae3957d7f.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_be38ac4d8053c697.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_e8bd96b3e8d8470e.pdf" ], "pdf_names": [ - "2311.16502v3.pdf", - "web_6c246a9c943f3cd0.pdf", - "web_ca0da58ae3957d7f.pdf" + "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "web_be38ac4d8053c697.pdf", + "web_e8bd96b3e8d8470e.pdf" ], - "n_pages": 140, - "est_tokens": 126000, + "n_pages": 103, + "est_tokens": 92700, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "2311.16502v3.pdf", - "web_6c246a9c943f3cd0.pdf", - "web_ca0da58ae3957d7f.pdf" + "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "web_be38ac4d8053c697.pdf", + "web_e8bd96b3e8d8470e.pdf" ] } \ No newline at end of file diff --git a/q52/random_k4/question.json b/q52/random_k4/question.json index c9274760225d7e00477a655754ed850671db8eba..6cc9a8ee1da4e75380235252b500ff3a24657e76 100644 --- a/q52/random_k4/question.json +++ b/q52/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q52_random_k4", - "doc_id": "2311.16502v3.pdf", - "question": "According to this paper, What's the GPT-4V's performance difference between CS subject and math subject on MMMU datasets? ", - "answer": "12.1%", - "answer_format": "Float", + "doc_id": "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "question": "Which group accounts for the second largest share in terms of religious demographics in Slide 4 in 2014?", + "answer": "Christians", + "answer_format": "Str", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2311.16502v3.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6c246a9c943f3cd0.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ca0da58ae3957d7f.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b7f1da7652574570.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/8986d2e4ed20a5d748ba511df0b505e58cb383e7.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_be38ac4d8053c697.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_e8bd96b3e8d8470e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_eff43bab789f7c21.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c83d6885217d96f0.pdf" ], "pdf_names": [ - "2311.16502v3.pdf", - "web_6c246a9c943f3cd0.pdf", - "web_ca0da58ae3957d7f.pdf", - "web_b7f1da7652574570.pdf", - "8986d2e4ed20a5d748ba511df0b505e58cb383e7.pdf" + "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "web_be38ac4d8053c697.pdf", + "web_e8bd96b3e8d8470e.pdf", + "web_eff43bab789f7c21.pdf", + "web_c83d6885217d96f0.pdf" ], - "n_pages": 197, - "est_tokens": 177300, + "n_pages": 140, + "est_tokens": 126000, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "2311.16502v3.pdf", - "web_6c246a9c943f3cd0.pdf", - "web_ca0da58ae3957d7f.pdf", - "web_b7f1da7652574570.pdf", - "8986d2e4ed20a5d748ba511df0b505e58cb383e7.pdf" + "indonesiamobilemarketresearch-ag-150106055934-conversion-gate02_95.pdf", + "web_be38ac4d8053c697.pdf", + "web_e8bd96b3e8d8470e.pdf", + "web_eff43bab789f7c21.pdf", + "web_c83d6885217d96f0.pdf" ] } \ No newline at end of file diff --git a/q55/control_k0/question.json b/q55/control_k0/question.json index 56a7df5b66bf1afea5cc20f16f80af8035f8650e..b4a9ee0660166a741be634eb83fd86b2f16aece5 100644 --- a/q55/control_k0/question.json +++ b/q55/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q55_control_k0", - "doc_id": "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "question": "Who Visited the U.S. Naval Medical Research centre on November 29, 2012 in the document?", - "answer": "Tim Ziemer", - "answer_format": "Str", + "doc_id": "2310.07609v1.pdf", + "question": "What is the average performance gap between the ProgramFC performance and our proposed system in the HOVER dataset? Please write down the answer in float format with 2 decimals.", + "answer": "0.45", + "answer_format": "Float", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/0b85477387a9d0cc33fca0f4becaa0e5.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2310.07609v1.pdf" ], "pdf_names": [ - "0b85477387a9d0cc33fca0f4becaa0e5.pdf" + "2310.07609v1.pdf" ], - "n_pages": 16, - "est_tokens": 14400, + "n_pages": 10, + "est_tokens": 9000, "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "0b85477387a9d0cc33fca0f4becaa0e5.pdf" + "2310.07609v1.pdf" ] } \ No newline at end of file diff --git a/q55/hard_negative_k2/question.json b/q55/hard_negative_k2/question.json index 085372dcc60d1fb0237dfd96161bc4ea9f6213aa..ef32496bb300b580b23a01a6d525f721b2420530 100644 --- a/q55/hard_negative_k2/question.json +++ b/q55/hard_negative_k2/question.json @@ -1,33 +1,33 @@ { "cell_id": "q55_hard_negative_k2", - "doc_id": "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "question": "Who Visited the U.S. Naval Medical Research centre on November 29, 2012 in the document?", - "answer": "Tim Ziemer", - "answer_format": "Str", + "doc_id": "2310.07609v1.pdf", + "question": "What is the average performance gap between the ProgramFC performance and our proposed system in the HOVER dataset? Please write down the answer in float format with 2 decimals.", + "answer": "0.45", + "answer_format": "Float", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7eca0520d1d88795.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_24c4662e4f9e6338.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2310.07609v1.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/a6541e27274e536e95486c83cdc8969a17227125.pdf" ], "pdf_names": [ - "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "web_7eca0520d1d88795.pdf", - "web_24c4662e4f9e6338.pdf" + "2310.07609v1.pdf", + "web_6e0e8e11e3b04e02.pdf", + "a6541e27274e536e95486c83cdc8969a17227125.pdf" ], - "n_pages": 60, - "est_tokens": 54000, - "expected_route": "openrouter", + "n_pages": 35, + "est_tokens": 31500, + "expected_route": "azure", "bundle_filenames": [ "source.pdf", "hn_1.pdf", "hn_2.pdf" ], "original_filenames": [ - "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "web_7eca0520d1d88795.pdf", - "web_24c4662e4f9e6338.pdf" + "2310.07609v1.pdf", + "web_6e0e8e11e3b04e02.pdf", + "a6541e27274e536e95486c83cdc8969a17227125.pdf" ] } \ No newline at end of file diff --git a/q55/hard_negative_k4/question.json b/q55/hard_negative_k4/question.json index 93aed8b247b68587acf678a848f12ce45bbe1df6..f9ded8e0ec1bc413e5a4c901579c0fb44add02e9 100644 --- a/q55/hard_negative_k4/question.json +++ b/q55/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q55_hard_negative_k4", - "doc_id": "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "question": "Who Visited the U.S. Naval Medical Research centre on November 29, 2012 in the document?", - "answer": "Tim Ziemer", - "answer_format": "Str", + "doc_id": "2310.07609v1.pdf", + "question": "What is the average performance gap between the ProgramFC performance and our proposed system in the HOVER dataset? Please write down the answer in float format with 2 decimals.", + "answer": "0.45", + "answer_format": "Float", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7eca0520d1d88795.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_24c4662e4f9e6338.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2fd45ed770cf7563.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_8c2363f2044bd0ec.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2310.07609v1.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6e0e8e11e3b04e02.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/a6541e27274e536e95486c83cdc8969a17227125.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/a06a34d02fd632c9dc8c629a681d463f3a5bdcb5.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/37a87e9ff89a0d96aebd89f4c09844ea1ab59f76.pdf" ], "pdf_names": [ - "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "web_7eca0520d1d88795.pdf", - "web_24c4662e4f9e6338.pdf", - "web_2fd45ed770cf7563.pdf", - "web_8c2363f2044bd0ec.pdf" + "2310.07609v1.pdf", + "web_6e0e8e11e3b04e02.pdf", + "a6541e27274e536e95486c83cdc8969a17227125.pdf", + "a06a34d02fd632c9dc8c629a681d463f3a5bdcb5.pdf", + "37a87e9ff89a0d96aebd89f4c09844ea1ab59f76.pdf" ], - "n_pages": 192, - "est_tokens": 172800, + "n_pages": 66, + "est_tokens": 59400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "web_7eca0520d1d88795.pdf", - "web_24c4662e4f9e6338.pdf", - "web_2fd45ed770cf7563.pdf", - "web_8c2363f2044bd0ec.pdf" + "2310.07609v1.pdf", + "web_6e0e8e11e3b04e02.pdf", + "a6541e27274e536e95486c83cdc8969a17227125.pdf", + "a06a34d02fd632c9dc8c629a681d463f3a5bdcb5.pdf", + "37a87e9ff89a0d96aebd89f4c09844ea1ab59f76.pdf" ] } \ No newline at end of file diff --git a/q55/random_k2/question.json b/q55/random_k2/question.json index ba25320354f0031f84c6559ad1019f27addd3fc5..f8378ea1104695aff214c33dedb28f3b9ca569e5 100644 --- a/q55/random_k2/question.json +++ b/q55/random_k2/question.json @@ -1,33 +1,33 @@ { "cell_id": "q55_random_k2", - "doc_id": "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "question": "Who Visited the U.S. Naval Medical Research centre on November 29, 2012 in the document?", - "answer": "Tim Ziemer", - "answer_format": "Str", + "doc_id": "2310.07609v1.pdf", + "question": "What is the average performance gap between the ProgramFC performance and our proposed system in the HOVER dataset? Please write down the answer in float format with 2 decimals.", + "answer": "0.45", + "answer_format": "Float", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_aba48f222bc2a935.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_872e4d877da3ad60.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2310.07609v1.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7936f5df65d83785.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f915df7184680905.pdf" ], "pdf_names": [ - "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "web_aba48f222bc2a935.pdf", - "web_872e4d877da3ad60.pdf" + "2310.07609v1.pdf", + "web_7936f5df65d83785.pdf", + "web_f915df7184680905.pdf" ], - "n_pages": 239, - "est_tokens": 215100, - "expected_route": "openrouter", + "n_pages": 42, + "est_tokens": 37800, + "expected_route": "azure", "bundle_filenames": [ "source.pdf", "random_1.pdf", "random_2.pdf" ], "original_filenames": [ - "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "web_aba48f222bc2a935.pdf", - "web_872e4d877da3ad60.pdf" + "2310.07609v1.pdf", + "web_7936f5df65d83785.pdf", + "web_f915df7184680905.pdf" ] } \ No newline at end of file diff --git a/q55/random_k4/question.json b/q55/random_k4/question.json index 78b0de7f3a0bed0c1d0bba4a1a3d08ca802a12c4..3938f8655b2e30b9bdd28c24ea97b27ed0443e44 100644 --- a/q55/random_k4/question.json +++ b/q55/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q55_random_k4", - "doc_id": "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "question": "Who Visited the U.S. Naval Medical Research centre on November 29, 2012 in the document?", - "answer": "Tim Ziemer", - "answer_format": "Str", + "doc_id": "2310.07609v1.pdf", + "question": "What is the average performance gap between the ProgramFC performance and our proposed system in the HOVER dataset? Please write down the answer in float format with 2 decimals.", + "answer": "0.45", + "answer_format": "Float", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_aba48f222bc2a935.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_872e4d877da3ad60.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_4afee5051b977e9c.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b084166310a31de5.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2310.07609v1.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_7936f5df65d83785.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_f915df7184680905.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ec4eb8b43a001ba9.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_1bb55f026f3c5bd5.pdf" ], "pdf_names": [ - "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "web_aba48f222bc2a935.pdf", - "web_872e4d877da3ad60.pdf", - "web_4afee5051b977e9c.pdf", - "web_b084166310a31de5.pdf" + "2310.07609v1.pdf", + "web_7936f5df65d83785.pdf", + "web_f915df7184680905.pdf", + "web_ec4eb8b43a001ba9.pdf", + "web_1bb55f026f3c5bd5.pdf" ], - "n_pages": 950, - "est_tokens": 855000, + "n_pages": 86, + "est_tokens": 77400, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "0b85477387a9d0cc33fca0f4becaa0e5.pdf", - "web_aba48f222bc2a935.pdf", - "web_872e4d877da3ad60.pdf", - "web_4afee5051b977e9c.pdf", - "web_b084166310a31de5.pdf" + "2310.07609v1.pdf", + "web_7936f5df65d83785.pdf", + "web_f915df7184680905.pdf", + "web_ec4eb8b43a001ba9.pdf", + "web_1bb55f026f3c5bd5.pdf" ] } \ No newline at end of file diff --git a/q64/control_k0/question.json b/q64/control_k0/question.json index 27da1674e214971ec46e1ed847955ba28037f1ae..af2d80cedcdd4c197ce3fcd6a5485b223ae556fe 100644 --- a/q64/control_k0/question.json +++ b/q64/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q64_control_k0", - "doc_id": "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", - "question": "A transmitter operating at a frequency of 500 MHz has a rated maximum output power of 10 W. Using the recommended separation distances between portable and mobile RF communications equipment and the M270TF-XXX / M320TF-XXX, calculate the minimum separation distance required for this transmitter. Write down the answer in float format with 2 decimals.", - "answer": "2.92", - "answer_format": "Float", + "doc_id": "obs-productdesc-en.pdf", + "question": "How many common operations supported by each system-defined policy or role of OBS? Write down the answer in int format.", + "answer": "42", + "answer_format": "Int", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/obs-productdesc-en.pdf" ], "pdf_names": [ - "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf" + "obs-productdesc-en.pdf" ], - "n_pages": 40, - "est_tokens": 36000, - "expected_route": "azure", + "n_pages": 65, + "est_tokens": 58500, + "expected_route": "openrouter", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf" + "obs-productdesc-en.pdf" ] } \ No newline at end of file diff --git a/q64/random_k2/question.json b/q64/random_k2/question.json index 7322ec3eace94a7990f33ad0386cecbc7198936a..ea1ee10a44be826654fc0804f94d3f457218b062 100644 --- a/q64/random_k2/question.json +++ b/q64/random_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q64_random_k2", - "doc_id": "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", - "question": "A transmitter operating at a frequency of 500 MHz has a rated maximum output power of 10 W. Using the recommended separation distances between portable and mobile RF communications equipment and the M270TF-XXX / M320TF-XXX, calculate the minimum separation distance required for this transmitter. Write down the answer in float format with 2 decimals.", - "answer": "2.92", - "answer_format": "Float", + "doc_id": "obs-productdesc-en.pdf", + "question": "How many common operations supported by each system-defined policy or role of OBS? Write down the answer in int format.", + "answer": "42", + "answer_format": "Int", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e422c7dc76e1e805.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ed8636d8f0faddf2.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/obs-productdesc-en.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_54b7670fb9d9c193.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_99fd395a0c29c14c.pdf" ], "pdf_names": [ - "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", - "web_e422c7dc76e1e805.pdf", - "web_ed8636d8f0faddf2.pdf" + "obs-productdesc-en.pdf", + "web_54b7670fb9d9c193.pdf", + "web_99fd395a0c29c14c.pdf" ], - "n_pages": 88, - "est_tokens": 79200, + "n_pages": 120, + "est_tokens": 108000, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "random_2.pdf" ], "original_filenames": [ - "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", - "web_e422c7dc76e1e805.pdf", - "web_ed8636d8f0faddf2.pdf" + "obs-productdesc-en.pdf", + "web_54b7670fb9d9c193.pdf", + "web_99fd395a0c29c14c.pdf" ] } \ No newline at end of file diff --git a/q64/random_k4/question.json b/q64/random_k4/question.json index 212bdbf27ef65f26f74f0dfdad4c32c2947a7baa..ffb44e382227b3b262ccfec7f6f152c57233f42f 100644 --- a/q64/random_k4/question.json +++ b/q64/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q64_random_k4", - "doc_id": "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", - "question": "A transmitter operating at a frequency of 500 MHz has a rated maximum output power of 10 W. Using the recommended separation distances between portable and mobile RF communications equipment and the M270TF-XXX / M320TF-XXX, calculate the minimum separation distance required for this transmitter. Write down the answer in float format with 2 decimals.", - "answer": "2.92", - "answer_format": "Float", + "doc_id": "obs-productdesc-en.pdf", + "question": "How many common operations supported by each system-defined policy or role of OBS? Write down the answer in int format.", + "answer": "42", + "answer_format": "Int", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e422c7dc76e1e805.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_ed8636d8f0faddf2.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_55eb3e1bfd6dcec7.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_5661b6226cb1d324.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/obs-productdesc-en.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_54b7670fb9d9c193.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_99fd395a0c29c14c.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_213e208cc21dfd8a.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/a6541e27274e536e95486c83cdc8969a17227125.pdf" ], "pdf_names": [ - "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", - "web_e422c7dc76e1e805.pdf", - "web_ed8636d8f0faddf2.pdf", - "web_55eb3e1bfd6dcec7.pdf", - "web_5661b6226cb1d324.pdf" + "obs-productdesc-en.pdf", + "web_54b7670fb9d9c193.pdf", + "web_99fd395a0c29c14c.pdf", + "web_213e208cc21dfd8a.pdf", + "a6541e27274e536e95486c83cdc8969a17227125.pdf" ], - "n_pages": 118, - "est_tokens": 106200, + "n_pages": 167, + "est_tokens": 150300, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "random_4.pdf" ], "original_filenames": [ - "91521110100M_4K_UHD_Display_User_Manual_V1.1.pdf", - "web_e422c7dc76e1e805.pdf", - "web_ed8636d8f0faddf2.pdf", - "web_55eb3e1bfd6dcec7.pdf", - "web_5661b6226cb1d324.pdf" + "obs-productdesc-en.pdf", + "web_54b7670fb9d9c193.pdf", + "web_99fd395a0c29c14c.pdf", + "web_213e208cc21dfd8a.pdf", + "a6541e27274e536e95486c83cdc8969a17227125.pdf" ] } \ No newline at end of file diff --git a/q99/control_k0/question.json b/q99/control_k0/question.json index 5f734254844288f7f8703e52769953868b404494..e8edeb78f4d8c72c2ba000457e86682856e777b5 100644 --- a/q99/control_k0/question.json +++ b/q99/control_k0/question.json @@ -1,25 +1,25 @@ { "cell_id": "q99_control_k0", - "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "question": "How many geographic markers in Greater Houston, Texas?", - "answer": "4", - "answer_format": "Int", + "doc_id": "2023.findings-emnlp.248.pdf", + "question": "Which dataset used in this paper was proposed in 2022 and all of its logical reasoning problems are multiple-choice questions with 5 options?", + "answer": "ProofWriter", + "answer_format": "Str", "condition": "control", "k": 0, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/8dfc21ec151fb9d3578fc32d5c4e5df9.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.findings-emnlp.248.pdf" ], "pdf_names": [ - "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf" + "2023.findings-emnlp.248.pdf" ], - "n_pages": 18, - "est_tokens": 16200, + "n_pages": 19, + "est_tokens": 17100, "expected_route": "azure", "bundle_filenames": [ "source.pdf" ], "original_filenames": [ - "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf" + "2023.findings-emnlp.248.pdf" ] } \ No newline at end of file diff --git a/q99/hard_negative_k2/question.json b/q99/hard_negative_k2/question.json index 1c835a2f08f27f461ed8841290d748218d448aba..829c5aebc4182b12c8cabc4930d6fbeed30bf7c1 100644 --- a/q99/hard_negative_k2/question.json +++ b/q99/hard_negative_k2/question.json @@ -1,24 +1,24 @@ { "cell_id": "q99_hard_negative_k2", - "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "question": "How many geographic markers in Greater Houston, Texas?", - "answer": "4", - "answer_format": "Int", + "doc_id": "2023.findings-emnlp.248.pdf", + "question": "Which dataset used in this paper was proposed in 2022 and all of its logical reasoning problems are multiple-choice questions with 5 options?", + "answer": "ProofWriter", + "answer_format": "Str", "condition": "hard_negative", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_71b8764a97623315.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_82eecb5883b134f6.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.findings-emnlp.248.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_39b6cadc4e9ca03e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b0b861dfece3f50d.pdf" ], "pdf_names": [ - "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "web_71b8764a97623315.pdf", - "web_82eecb5883b134f6.pdf" + "2023.findings-emnlp.248.pdf", + "web_39b6cadc4e9ca03e.pdf", + "web_b0b861dfece3f50d.pdf" ], - "n_pages": 491, - "est_tokens": 441900, + "n_pages": 70, + "est_tokens": 63000, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -26,8 +26,8 @@ "hn_2.pdf" ], "original_filenames": [ - "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "web_71b8764a97623315.pdf", - "web_82eecb5883b134f6.pdf" + "2023.findings-emnlp.248.pdf", + "web_39b6cadc4e9ca03e.pdf", + "web_b0b861dfece3f50d.pdf" ] } \ No newline at end of file diff --git a/q99/hard_negative_k4/question.json b/q99/hard_negative_k4/question.json index 925b4462c999ac61e7aa91c533e92dadb80f0627..932447498ef0e20300700150d5181481e05b7ae3 100644 --- a/q99/hard_negative_k4/question.json +++ b/q99/hard_negative_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q99_hard_negative_k4", - "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "question": "How many geographic markers in Greater Houston, Texas?", - "answer": "4", - "answer_format": "Int", + "doc_id": "2023.findings-emnlp.248.pdf", + "question": "Which dataset used in this paper was proposed in 2022 and all of its logical reasoning problems are multiple-choice questions with 5 options?", + "answer": "ProofWriter", + "answer_format": "Str", "condition": "hard_negative", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_71b8764a97623315.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_82eecb5883b134f6.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_f819c2267052403b.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_6896b1f6ed1a440f.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.findings-emnlp.248.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_39b6cadc4e9ca03e.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_b0b861dfece3f50d.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_56044d2e22a63da0.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_992a098addf13dd9.pdf" ], "pdf_names": [ - "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "web_71b8764a97623315.pdf", - "web_82eecb5883b134f6.pdf", - "web_f819c2267052403b.pdf", - "web_6896b1f6ed1a440f.pdf" + "2023.findings-emnlp.248.pdf", + "web_39b6cadc4e9ca03e.pdf", + "web_b0b861dfece3f50d.pdf", + "web_56044d2e22a63da0.pdf", + "web_992a098addf13dd9.pdf" ], - "n_pages": 763, - "est_tokens": 686700, + "n_pages": 119, + "est_tokens": 107100, "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", @@ -32,10 +32,10 @@ "hn_4.pdf" ], "original_filenames": [ - "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "web_71b8764a97623315.pdf", - "web_82eecb5883b134f6.pdf", - "web_f819c2267052403b.pdf", - "web_6896b1f6ed1a440f.pdf" + "2023.findings-emnlp.248.pdf", + "web_39b6cadc4e9ca03e.pdf", + "web_b0b861dfece3f50d.pdf", + "web_56044d2e22a63da0.pdf", + "web_992a098addf13dd9.pdf" ] } \ No newline at end of file diff --git a/q99/random_k2/question.json b/q99/random_k2/question.json index d229d37c390fec0ff1844b4f873aac9555c83138..ebf130625d911ef6cb7f49312c6704bab5d256f9 100644 --- a/q99/random_k2/question.json +++ b/q99/random_k2/question.json @@ -1,33 +1,33 @@ { "cell_id": "q99_random_k2", - "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "question": "How many geographic markers in Greater Houston, Texas?", - "answer": "4", - "answer_format": "Int", + "doc_id": "2023.findings-emnlp.248.pdf", + "question": "Which dataset used in this paper was proposed in 2022 and all of its logical reasoning problems are multiple-choice questions with 5 options?", + "answer": "ProofWriter", + "answer_format": "Str", "condition": "random", "k": 2, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d5b2ddb1c9043d8c.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_bf09a64e7d517c98.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.findings-emnlp.248.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2ed0552c74ec7055.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_aea5572714ffe7ab.pdf" ], "pdf_names": [ - "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "web_d5b2ddb1c9043d8c.pdf", - "web_bf09a64e7d517c98.pdf" + "2023.findings-emnlp.248.pdf", + "web_2ed0552c74ec7055.pdf", + "web_aea5572714ffe7ab.pdf" ], - "n_pages": 44, - "est_tokens": 39600, - "expected_route": "azure", + "n_pages": 112, + "est_tokens": 100800, + "expected_route": "openrouter", "bundle_filenames": [ "source.pdf", "random_1.pdf", "random_2.pdf" ], "original_filenames": [ - "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "web_d5b2ddb1c9043d8c.pdf", - "web_bf09a64e7d517c98.pdf" + "2023.findings-emnlp.248.pdf", + "web_2ed0552c74ec7055.pdf", + "web_aea5572714ffe7ab.pdf" ] } \ No newline at end of file diff --git a/q99/random_k4/question.json b/q99/random_k4/question.json index b117e09924c0ff01e4ff35bbaa33729e784e104a..2d828b34356172df15f29aa46a4b586dd65606c5 100644 --- a/q99/random_k4/question.json +++ b/q99/random_k4/question.json @@ -1,28 +1,28 @@ { "cell_id": "q99_random_k4", - "doc_id": "8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "question": "How many geographic markers in Greater Houston, Texas?", - "answer": "4", - "answer_format": "Int", + "doc_id": "2023.findings-emnlp.248.pdf", + "question": "Which dataset used in this paper was proposed in 2022 and all of its logical reasoning problems are multiple-choice questions with 5 options?", + "answer": "ProofWriter", + "answer_format": "Str", "condition": "random", "k": 4, "source_position": "first", "pdf_paths": [ - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/8dfc21ec151fb9d3578fc32d5c4e5df9.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_d5b2ddb1c9043d8c.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_bf09a64e7d517c98.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/235a767f8c928288300c3def22c46b738669b7c1.pdf", - "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_69a8e2bd1f047af1.pdf" + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/pdfs/2023.findings-emnlp.248.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_2ed0552c74ec7055.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_aea5572714ffe7ab.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs/web_e85946d6c20e2417.pdf", + "/Users/jasonluo08/Desktop/AI Brain/algoverse_research/hard_negative_pdfs_resized/web_c916dc9b2089aeec.pdf" ], "pdf_names": [ - 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