data_source
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1 value
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prompt
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2
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reward_model
dict
extra_info
dict
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "113 days" ], "style": "rule" }
{ "answer": [ "113 days" ], "id": "wikitq-03270", "question": "According to the list of Australian Prime Ministers by age, how long has Chris Watson been Prime Minister?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "6" ], "style": "rule" }
{ "answer": [ "6" ], "id": "wikitq-03271", "question": "How many points did Bob Neyret collect in the 1974 Rallye de Portugal?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Raffaele Pinto" ], "style": "rule" }
{ "answer": [ "Raffaele Pinto" ], "id": "wikitq-03272", "question": "Who finished the 1974 Rallye de Portugal with the shortest time?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "3" ], "style": "rule" }
{ "answer": [ "3" ], "id": "wikitq-03273", "question": "How many times was the Fiat Abarth 124 rally car used in the 1974 Rallye de Portugal?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "3" ], "style": "rule" }
{ "answer": [ "3" ], "id": "wikitq-03274", "question": "For the Meek Mill discography, tell me the number of non-album singles. ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "5" ], "style": "rule" }
{ "answer": [ "5" ], "id": "wikitq-03275", "question": "How many tracks in Meek Mill's discography are listed?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "5" ], "style": "rule" }
{ "answer": [ "5" ], "id": "wikitq-03276", "question": "How many singles has this rapper released so far in Meek Mill's discography?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "3" ], "style": "rule" }
{ "answer": [ "3" ], "id": "wikitq-03277", "question": "How many singles were released in the Meek Mill discography in 2011?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "5" ], "style": "rule" }
{ "answer": [ "5" ], "id": "wikitq-03278", "question": "How many singles make up the top songs of the year in this chart for the Meek Mill discography?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Oxygen" ], "style": "rule" }
{ "answer": [ "Oxygen" ], "id": "wikitq-03303", "question": "Considering the timeline of chemical element discoveries, which element was observed or predicted by w.scheele in 1771. ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "4" ], "style": "rule" }
{ "answer": [ "4" ], "id": "wikitq-03304", "question": "What was his greatest number of wins in a year under Steve Grissom?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "1996" ], "style": "rule" }
{ "answer": [ "1996" ], "id": "wikitq-03305", "question": "What is the last year that Steve Grissom had at least one win under Steve Grissom?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "9" ], "style": "rule" }
{ "answer": [ "9" ], "id": "wikitq-03306", "question": "How many years was Grissom in the top 10 of the national series under Steve Grissom?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "1988" ], "style": "rule" }
{ "answer": [ "1988" ], "id": "wikitq-03307", "question": "What is the first year that Steve Grissom had a top 5 national series finish for the series?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "3" ], "style": "rule" }
{ "answer": [ "3" ], "id": "wikitq-03308", "question": "How many times from his average starting under 20 has Steve Grissom been under The Apprentice (US season 3)?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "6" ], "style": "rule" }
{ "answer": [ "6" ], "id": "wikitq-03309", "question": "How many times has his average finish at Steve Grissom been under 18 times?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "11" ], "style": "rule" }
{ "answer": [ "11" ], "id": "wikitq-03310", "question": "How often has there been a winner under Andrea Koch Benvenuto?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "10" ], "style": "rule" }
{ "answer": [ "10" ], "id": "wikitq-03312", "question": "How many runners-up in the table does Andrea Koch Benvenuto have?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "5" ], "style": "rule" }
{ "answer": [ "5" ], "id": "wikitq-03313", "question": "Tell me the number of hard courts under Andrea Koch Benvenuto. ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "21" ], "style": "rule" }
{ "answer": [ "21" ], "id": "wikitq-03314", "question": "How many tournaments does Andrea Koch Benvenuto have in total in the table?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "2005" ], "style": "rule" }
{ "answer": [ "2005" ], "id": "wikitq-03316", "question": "What was the last year a hit was performed in Lorenzo Civallero?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "3" ], "style": "rule" }
{ "answer": [ "3" ], "id": "wikitq-03317", "question": "Overall , how many times is Lorenzo Civallero 's competition listed as the \" World Championship \" ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "2005" ], "style": "rule" }
{ "answer": [ "2005" ], "id": "wikitq-03318", "question": "In what year was Lorenzo Civallero's last competition held?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Atlantic Conveyor" ], "style": "rule" }
{ "answer": [ "Atlantic Conveyor" ], "id": "wikitq-03319", "question": "According to the map, what was the last ship built by Cunard Line?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Queen Elizabeth" ], "style": "rule" }
{ "answer": [ "Queen Elizabeth" ], "id": "wikitq-03320", "question": "Who is Cunard Line's most tonnage ship named after?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "1957" ], "style": "rule" }
{ "answer": [ "1957" ], "id": "wikitq-03321", "question": "The year the last intermediate ship was built for Cunard Line?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Caronia" ], "style": "rule" }
{ "answer": [ "Caronia" ], "id": "wikitq-03322", "question": "Which is the only Cunard Line cruise ship in the list of ships?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "1970" ], "style": "rule" }
{ "answer": [ "1970" ], "id": "wikitq-03323", "question": "When was the last ship built for Cunard Line?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "4" ], "style": "rule" }
{ "answer": [ "4" ], "id": "wikitq-03324", "question": "How many Cunard Line express ships?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Kyal and Kara" ], "style": "rule" }
{ "answer": [ "Kyal and Kara" ], "id": "wikitq-03325", "question": "Who became the most winning couple of The Block (Season 8)?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Chantelle and Steve" ], "style": "rule" }
{ "answer": [ "Chantelle and Steve" ], "id": "wikitq-03326", "question": "Who were the suckers in the kitchen on The Block Season 8?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Brad and Dale" ], "style": "rule" }
{ "answer": [ "Brad and Dale" ], "id": "wikitq-03327", "question": "In week 3 of The Block (season 8), the winning couple in Guest Room 2 was Kyal and Kara, but the suckers were?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "0" ], "style": "rule" }
{ "answer": [ "0" ], "id": "wikitq-03328", "question": "After winning Week 5, how many winning weeks did Alisa and Lysandra have in The Block (Season 8)?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Upstairs Bathroom" ], "style": "rule" }
{ "answer": [ "Upstairs Bathroom" ], "id": "wikitq-03329", "question": "Which room was week 5 ago for The Block (season 8)?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "3" ], "style": "rule" }
{ "answer": [ "3" ], "id": "wikitq-03330", "question": "How many weeks were Chantelle and Steve the \"third couple\" under The Block (season 8)?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Chantelle and Steve" ], "style": "rule" }
{ "answer": [ "Chantelle and Steve" ], "id": "wikitq-03331", "question": "Who became the first-ever winning couple in week 6 for The Block (season 8)?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "28" ], "style": "rule" }
{ "answer": [ "28" ], "id": "wikitq-03333", "question": "According to the list of materials, what is the total amount of niobium produced in Rwanda in 2000?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Canada" ], "style": "rule" }
{ "answer": [ "Canada" ], "id": "wikitq-03334", "question": "After Brazil, which country produced the most niobium?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Congo D.R." ], "style": "rule" }
{ "answer": [ "Congo D.R." ], "id": "wikitq-03335", "question": "Which country produced 50 niobium in 2002 but only 13 in 2003?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "32600" ], "style": "rule" }
{ "answer": [ "32600" ], "id": "wikitq-03337", "question": "How much -lrb- t -rrb- niobium was produced in total in the world in 2000?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "7" ], "style": "rule" }
{ "answer": [ "7" ], "id": "wikitq-03338", "question": "What is the total number of senior advisers to the President of the United States?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Percy Abbott" ], "style": "rule" }
{ "answer": [ "Percy Abbott" ], "id": "wikitq-03340", "question": "Which Citizens Committee candidate has the most votes in the 1919 Edmonton municipal election?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "5338" ], "style": "rule" }
{ "answer": [ "5338" ], "id": "wikitq-03341", "question": "How many total votes did the Independent Party get in the 1919 Edmonton municipal election?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Joseph Adair" ], "style": "rule" }
{ "answer": [ "Joseph Adair" ], "id": "wikitq-03342", "question": "In the 1919 Edmonton municipal election, which candidate had the fewest votes?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "2" ], "style": "rule" }
{ "answer": [ "2" ], "id": "wikitq-03343", "question": "How many independent candidates stood on the ballot for alderman in the 1919 Edmonton municipal election?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "James Kinney" ], "style": "rule" }
{ "answer": [ "James Kinney" ], "id": "wikitq-03344", "question": "Which candidate had the most votes in the 1919 Edmonton municipal election?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "J. J. Murray" ], "style": "rule" }
{ "answer": [ "J. J. Murray" ], "id": "wikitq-03345", "question": "Considering the Edmonton municipal election of 1919, which of the Labor Party candidates had the fewest votes?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "11" ], "style": "rule" }
{ "answer": [ "11" ], "id": "wikitq-03346", "question": "How many games did the Bombers win in the 1982 Winnipeg Blue Bombers season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "11" ], "style": "rule" }
{ "answer": [ "11" ], "id": "wikitq-03347", "question": "How many wins will the Winnipeg Blue Bombers have in the 1982 season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "9" ], "style": "rule" }
{ "answer": [ "9" ], "id": "wikitq-03348", "question": "In which games of the 1982 Winnipeg Blue Bombers season did they score 30 or more points?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Nebraska-Omaha" ], "style": "rule" }
{ "answer": [ "Nebraska-Omaha" ], "id": "wikitq-03349", "question": "Who was the Northwest Missouri State Bearcats' only football opponent in 1984?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "8" ], "style": "rule" }
{ "answer": [ "8" ], "id": "wikitq-03350", "question": "How many total games at Braly Stadium were the Northwest Missouri State Bearcats Football?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Northern Colorado" ], "style": "rule" }
{ "answer": [ "Northern Colorado" ], "id": "wikitq-03351", "question": "Who was an opponent for Northwest Missouri State Bearcats football in 1996 and 1997?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "C.D. Luis Ángel Firpo" ], "style": "rule" }
{ "answer": [ "C.D. Luis Ángel Firpo" ], "id": "wikitq-03354", "question": "Which team finished last in the First Division of Professional Soccer Clausura 2006?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "San Salvador F.C." ], "style": "rule" }
{ "answer": [ "San Salvador F.C." ], "id": "wikitq-03355", "question": "Which team had the same total points as cd altetico balboa in La Liga 2006?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "242" ], "style": "rule" }
{ "answer": [ "242" ], "id": "wikitq-03356", "question": "How many goals were scored in total in First Division of Professional Soccer Clausura 2006 2006?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "21" ], "style": "rule" }
{ "answer": [ "21" ], "id": "wikitq-03357", "question": "How many goals did AD Isidro Metapan team score in First Division of Professional Soccer Clausura 2006?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "C.D. Águila" ], "style": "rule" }
{ "answer": [ "C.D. Águila" ], "id": "wikitq-03358", "question": "Which team had the most wins in La Liga 2006?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "5" ], "style": "rule" }
{ "answer": [ "5" ], "id": "wikitq-03359", "question": "How many teams have scored at least 25 points or more in La Liga 2006?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "C.D. Águila", "C.D. FAS" ], "style": "rule" }
{ "answer": [ "C.D. Águila", "C.D. FAS" ], "id": "wikitq-03360", "question": "Which team had the fewest losses in La Liga 2006?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "perfect fifth", "septendecimal tritone", "septimal tritone", "tridecimal tritone", "11th harmonic", "(15:11) augmented fourth" ], "style": "rule" }
{ "answer": [ "perfect fifth", "septendecimal tritone", "septimal tritone", "tridecimal tritone", "11th harmonic", "(15:11) augmented fourth" ], "id": "wikitq-03372", "question": "What is each interval name with size -lrb- cents -rrb- greater than 500 among 72 equal temperaments?", "sp...
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "perfect fifth" ], "style": "rule" }
{ "answer": [ "perfect fifth" ], "id": "wikitq-03373", "question": "Among 72 equal temperaments, which interval has the most fairness?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "6" ], "style": "rule" }
{ "answer": [ "6" ], "id": "wikitq-03374", "question": "How many intervals had more than 30 degrees of 72 equal temperaments?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "470.78" ], "style": "rule" }
{ "answer": [ "470.78" ], "id": "wikitq-03375", "question": "Given 72 equal temperaments, what is the highest -lrb- cents -rrb- for an interval of size -lrb- cents -rrb- less than 500 ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "septimal diatonic semitone" ], "style": "rule" }
{ "answer": [ "septimal diatonic semitone" ], "id": "wikitq-03376", "question": "What other tone is the same size as the diatonic semitone among 72 equal temperaments?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "tridecimal major third" ], "style": "rule" }
{ "answer": [ "tridecimal major third" ], "id": "wikitq-03377", "question": "Which has a larger magnitude in steps, a tridecimal major third, or a tridecimal neutral third in 72 equal temperament?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "perfect fifth" ], "style": "rule" }
{ "answer": [ "perfect fifth" ], "id": "wikitq-03378", "question": "Name the interval larger than 40 steps among 72 equal temperaments. ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "lesser undecimal neutral second" ], "style": "rule" }
{ "answer": [ "lesser undecimal neutral second" ], "id": "wikitq-03379", "question": "From the list of 72 equal temperaments, which is the only interval with a cent size of 150?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "14" ], "style": "rule" }
{ "answer": [ "14" ], "id": "wikitq-03380", "question": "How many intervals in 72 equal temperaments have a step size of less than ten steps?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Chesterfield Stakes" ], "style": "rule" }
{ "answer": [ "Chesterfield Stakes" ], "id": "wikitq-03381", "question": "Under Bend Or, what was the only race jockey Charles Wood won?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "10" ], "style": "rule" }
{ "answer": [ "10" ], "id": "wikitq-03382", "question": "How many times has Bend Or won first place?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "3" ], "style": "rule" }
{ "answer": [ "3" ], "id": "wikitq-03383", "question": "How many times has there been a race at Epsom Downs racecourse under Bend Or?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Madrid, Spain" ], "style": "rule" }
{ "answer": [ "Madrid, Spain" ], "id": "wikitq-03384", "question": "Considering Luis Regueiro's table, where did most of the events take place within this table?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "7" ], "style": "rule" }
{ "answer": [ "7" ], "id": "wikitq-03385", "question": "How many times was the venue Madrid, Spain used in Luis Regueiro?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Italy" ], "style": "rule" }
{ "answer": [ "Italy" ], "id": "wikitq-03386", "question": "According to this table, under Luis Regueiro, did Mexico or Italy have more 'friendly' competitions against Spain?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Ric Flair" ], "style": "rule" }
{ "answer": [ "Ric Flair" ], "id": "wikitq-03397", "question": "List of NWA World Heavyweight Champion, who has spent more time as NWA World Heavyweight Champion Gene Kiniski or Ric Flair?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "FS1" ], "style": "rule" }
{ "answer": [ "FS1" ], "id": "wikitq-03403", "question": "In the 2014 NASCAR Camping World Truck Series, which sports network broadcast the most races this season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "1" ], "style": "rule" }
{ "answer": [ "1" ], "id": "wikitq-03404", "question": "How many NASCAR Camping World Truck Series races were broadcast only by FOX in 2014?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "22" ], "style": "rule" }
{ "answer": [ "22" ], "id": "wikitq-03405", "question": "How many 2014 NASCAR Camping World Truck Series races were on the list?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "LB" ], "style": "rule" }
{ "answer": [ "LB" ], "id": "wikitq-03406", "question": "What position did Geno Hayes and Nick Roach play in the Chicago Bears 2013 season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "OG" ], "style": "rule" }
{ "answer": [ "OG" ], "id": "wikitq-03407", "question": "According to this chart, what is the best-played position of the Chicago Bears in the 2013 season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "14" ], "style": "rule" }
{ "answer": [ "14" ], "id": "wikitq-03408", "question": "How many free agents did this 2013 Chicago Bears team pick up this season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "5" ], "style": "rule" }
{ "answer": [ "5" ], "id": "wikitq-03409", "question": "How many players in the 2013 Chicago Bears play cb or og?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "2" ], "style": "rule" }
{ "answer": [ "2" ], "id": "wikitq-03410", "question": "How many times has Megumi Hayashibara's \"Pulse\" been published?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "United Kingdom" ], "style": "rule" }
{ "answer": [ "United Kingdom" ], "id": "wikitq-03411", "question": "Who sunk U-559 the most among German U-boats?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "17" ], "style": "rule" }
{ "answer": [ "17" ], "id": "wikitq-03412", "question": "How many more seats were available for the Ontario New Democratic Party in 1975 than in 1963?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "1990" ], "style": "rule" }
{ "answer": [ "1990" ], "id": "wikitq-03413", "question": "In what year were the most candidates elected under the Ontario New Democratic Party?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "74" ], "style": "rule" }
{ "answer": [ "74" ], "id": "wikitq-03414", "question": "How many candidates were elected in the Ontario New Democratic Party in 1990?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "19" ], "style": "rule" }
{ "answer": [ "19" ], "id": "wikitq-03415", "question": "How many candidates were elected in the Ontario New Democratic Party in 1971?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "34" ], "style": "rule" }
{ "answer": [ "34" ], "id": "wikitq-03416", "question": "How many candidates were selected for the Ontario New Democratic Party after 2000?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "28.9%" ], "style": "rule" }
{ "answer": [ "28.9%" ], "id": "wikitq-03417", "question": "Before 1990, what was the highest percentage of the vote for the Ontario New Democratic Party?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "1999" ], "style": "rule" }
{ "answer": [ "1999" ], "id": "wikitq-03418", "question": "In what year did the Ontario New Democratic Party get the lowest percent of the vote?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "1990" ], "style": "rule" }
{ "answer": [ "1990" ], "id": "wikitq-03419", "question": "In which year were most candidates elected for the Ontario New Democratic Party?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "1990" ], "style": "rule" }
{ "answer": [ "1990" ], "id": "wikitq-03420", "question": "In what year were the most candidates selected in the Ontario New Democratic Party?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "28" ], "style": "rule" }
{ "answer": [ "28" ], "id": "wikitq-03421", "question": "How many rounds are there for the 2008 Superbike World Championship this season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "11" ], "style": "rule" }
{ "answer": [ "11" ], "id": "wikitq-03422", "question": "How many total races did Troy Bayliss win during the 2008 Superbike World Championship season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "2 November" ], "style": "rule" }
{ "answer": [ "2 November" ], "id": "wikitq-03423", "question": "When was the last lap of the 2008 Superbike World Championship season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Troy Bayliss" ], "style": "rule" }
{ "answer": [ "Troy Bayliss" ], "id": "wikitq-03424", "question": "Who scored the most pole positions in the 2008 Superbike World Championship?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "14" ], "style": "rule" }
{ "answer": [ "14" ], "id": "wikitq-03425", "question": "How many races in total in the 2008 Superbike World Championship season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "South Korea" ], "style": "rule" }
{ "answer": [ "South Korea" ], "id": "wikitq-03426", "question": "Which nation won the most gold medals at the 1987 World Taekwondo Championships?", "split": "train" }