data_source stringclasses 1
value | agent_name stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | 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": [
"$72.6 billion"
],
"style": "rule"
} | {
"answer": [
"$72.6 billion"
],
"id": "wikisql-17841",
"question": "How high is China's international tourism spending in 2011 (2012) in the world tourism ranking?",
"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": [
"Blu-ray"
],
"style": "rule"
} | {
"answer": [
"Blu-ray"
],
"id": "wikisql-17842",
"question": "What was the format of Packed to the Rafters for the 4 disc season less than 22 episodes and n/a for the Region 4 DVD and Blu-ray releases?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17843",
"question": "From Tom Weiskopf's summary list, what is the lowest top-25 among the open championships with a top-10 greater than 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17844",
"question": "What is the highest top-5 if the tournament is the open championship, with a top-25 less than 9 for Tom Weiskopf's summary?",
"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": "wikisql-17846",
"question": "What is the total of the top 5 if the top 25 is 6 and a cut in Tom Weiskopf is less than 12 summary?",
"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": "wikisql-17850",
"question": "In which round of the 2008 Buffalo Bills season was a player from Indiana drafted in the 2nd round of the NFL League?",
"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": [
"Asian Chart (VJ Mike)"
],
"style": "rule"
} | {
"answer": [
"Asian Chart (VJ Mike)"
],
"id": "wikisql-17866",
"question": "Who is performing Monday at 2pm for Channel V Thailand afternoon?",
"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": [
"[V] Tunes"
],
"style": "rule"
} | {
"answer": [
"[V] Tunes"
],
"id": "wikisql-17867",
"question": "Who is performing Tuesday at 3pm for Channel V Thailand afternoon?",
"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": [
"[V] Covery"
],
"style": "rule"
} | {
"answer": [
"[V] Covery"
],
"id": "wikisql-17868",
"question": "Who is performing Channel V Thailand Monday afternoon at 5:55pm?",
"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": [
"Brande Roderick"
],
"style": "rule"
} | {
"answer": [
"Brande Roderick"
],
"id": "wikisql-17870",
"question": "Among the list of people in 2001 Playboy 2000-09, which cover model has a picture branded Roderick-pmoy, Naked News?",
"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": [
"Belinda Carlisle"
],
"style": "rule"
} | {
"answer": [
"Belinda Carlisle"
],
"id": "wikisql-17871",
"question": "Which cover model in the list of people in Playboy 2000-09 has a centerfold model of Jennifer Walcott 2001?",
"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": [
"Brande Roderick"
],
"style": "rule"
} | {
"answer": [
"Brande Roderick"
],
"id": "wikisql-17872",
"question": "In the Playboy People 2000-09 list, which model has 20 questions from Edward Burns 2001?",
"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": [
"Katie Lohmann"
],
"style": "rule"
} | {
"answer": [
"Katie Lohmann"
],
"id": "wikisql-17873",
"question": "From the list of people from Playboy 2000-2009, which centerfold has a 2001 cover model of Irina Voronina?",
"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": [
"Miriam Gonzalez"
],
"style": "rule"
} | {
"answer": [
"Miriam Gonzalez"
],
"id": "wikisql-17874",
"question": "Which 2001 centerfold model is the list of people in Playboy 2000–09 has a date of 3-01?",
"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": [
"2–3"
],
"style": "rule"
} | {
"answer": [
"2–3"
],
"id": "wikisql-17875",
"question": "What is the score on August 15 with a time of 17:30 in Group F of the FIVB Volleyball World League 2002?",
"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": [
"懂了"
],
"style": "rule"
} | {
"answer": [
"懂了"
],
"id": "wikisql-17879",
"question": "Which song had an index of m6 in Project Superstar Malaysia (Season 3) Episode 8-2 March 2008?",
"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": [
"懂了"
],
"style": "rule"
} | {
"answer": [
"懂了"
],
"id": "wikisql-17880",
"question": "For which song was the score 6.5 + 6.0 + 6.0 + 5.5 = 24.0 on March 2, 2008 Episode 8 in Project Superstar Malaysia (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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17881",
"question": "Under 1940 in Brazilian soccer Torneio Rio S o Paulo, if the number played is less than 8 and 23, what is the least number of 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": [
"15.0"
],
"style": "rule"
} | {
"answer": [
"15.0"
],
"id": "wikisql-17882",
"question": "If the Corinthians have a position less than 5, what is the average against 1940 in Brazilian football Torneio Rio S o Paulo ?",
"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": "wikisql-17883",
"question": "Which position under 1940 in Brazilian football has less than 6 points, Torneio Rio S o Paulo?",
"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": "wikisql-17884",
"question": "What is the number of opponents if the difference is 10 and more than 8 are played when playing Torneio Rio-São Paulo in 1940 Brazilian 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": [
"Djadokhta Formation"
],
"style": "rule"
} | {
"answer": [
"Djadokhta Formation"
],
"id": "wikisql-17896",
"question": "What unit is in Mongolia for 2001 in the newly named birds of paleontology?",
"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": [
"Allen Formation"
],
"style": "rule"
} | {
"answer": [
"Allen Formation"
],
"id": "wikisql-17897",
"question": "What is the unit of Argentina in 2001 in paleontology's renamed birds?",
"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": [
"Longipteryx",
"Yanornis",
"Yixianornis"
],
"style": "rule"
} | {
"answer": [
"Longipteryx",
"Yanornis",
"Yixianornis"
],
"id": "wikisql-17898",
"question": "What name is found in China among the newly named birds in 2001 in paleontology?",
"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": [
"Jiufotang Formation",
"Jiufotang Formation"
],
"style": "rule"
} | {
"answer": [
"Jiufotang Formation",
"Jiufotang Formation"
],
"id": "wikisql-17899",
"question": "What unit is in Newly named birds of paleontology in China in 2001 and has Zhou Zhang as the author?",
"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": [
"Aprilia"
],
"style": "rule"
} | {
"answer": [
"Aprilia"
],
"id": "wikisql-17900",
"question": "What type of manufacturer has laps less than 20 and a grid of 21 for the 2008 Qatar 250cc motorcycle Grand Prix classification?",
"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": [
"1998"
],
"style": "rule"
} | {
"answer": [
"1998"
],
"id": "wikisql-17938",
"question": "What years was the 2005 Masters Tournament won when the To Par was +5 among the Made the Cut?",
"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": [
"276.0"
],
"style": "rule"
} | {
"answer": [
"276.0"
],
"id": "wikisql-17939",
"question": "What is the average total for Tiger Woods in 2005 Made the Cut Masters Tournament?",
"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 States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-17940",
"question": "Which country had a total of 295 in the finals of the 2005 Masters tournament?",
"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": [
"50"
],
"style": "rule"
} | {
"answer": [
"50"
],
"id": "wikisql-17941",
"question": "What's the end if the To Par is +18 for the 2005 Masters tournament that made the cut?",
"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": [
"William Safire"
],
"style": "rule"
} | {
"answer": [
"William Safire"
],
"id": "wikisql-17945",
"question": "What interview subject was among the list of people in Playboy 1990-99 from 1992 on a date that is 11-92?",
"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": [
"New South Wales"
],
"style": "rule"
} | {
"answer": [
"New South Wales"
],
"id": "wikisql-17949",
"question": "In the Australian domestic limited overs cricket tournaments 2000 01 to date, which team has finished second in the season in which Western Australia finished fifth, South Australia sixth and Tasmania fourth?",
"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": [
"New South Wales"
],
"style": "rule"
} | {
"answer": [
"New South Wales"
],
"id": "wikisql-17950",
"question": "Which team in Australia's domestic limited surplus cricket tournament with 2000 01 has finished sixth to date in the season that has seen Western Australia fourth and Tasmania first?",
"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": [
"Queensland"
],
"style": "rule"
} | {
"answer": [
"Queensland"
],
"id": "wikisql-17951",
"question": "Which team in Australia's national limited surplus cricket tournament finished sixth in the 2000/01 season to date where Tasmania finished second and Western Australia fourth?",
"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": [
"Western Australia"
],
"style": "rule"
} | {
"answer": [
"Western Australia"
],
"id": "wikisql-17952",
"question": "Which team of the Australian Limited Surplus Cricket Tournament finished fifth, Victoria second, Tasmania first and South Australia sixth in the 2000–01 season to date?",
"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": [
"none"
],
"style": "rule"
} | {
"answer": [
"none"
],
"id": "wikisql-17956",
"question": "On which day in the 1988/89 Premier Division Dundee United FC season were more than 39,058 spectators at a Motherwell opponent?",
"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": [
"1989–1990"
],
"style": "rule"
} | {
"answer": [
"1989–1990"
],
"id": "wikisql-17983",
"question": "What year Orlando has a United States nationality, center position and player by Jawann Oldham under Orlando Magic All-Time O Roster?",
"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": [
"1997–2001",
"2005–2008"
],
"style": "rule"
} | {
"answer": [
"1997–2001",
"2005–2008"
],
"id": "wikisql-17984",
"question": "What years of Orlando has a player from Bo Outlaw in Orlando Magic All-Time O Roster?",
"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 States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-17986",
"question": "What nationality has a center position and a year in Orlando from 2010-2012 for the Orlando Magic All-Time O Roster?",
"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 States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-17987",
"question": "What nationality is a Seattle school/club team in the Orlando Magic All-Time O-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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17988",
"question": "For Miguel Ángel Jiménez, what is the average number of top 10 and 0 top 5 for events under 57 and combined?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17989",
"question": "What is the average number of top 10 finishes in events with more than 12 cuts and 0 wins for Miguel Ángel Jiménez summary?",
"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": [
"3.0"
],
"style": "rule"
} | {
"answer": [
"3.0"
],
"id": "wikisql-17990",
"question": "What is the average number of top-25s in events with fewer than 2 top-10s in Miguel Ángel Jiménez' summary?",
"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": [
"Cassandra Lynn"
],
"style": "rule"
} | {
"answer": [
"Cassandra Lynn"
],
"id": "wikisql-18009",
"question": "From the list of characters in Playboy 2000-09, who is the centerfold model with a pictorial by Adriane Curry, Girls of Tuscany's 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": [
"6-06"
],
"style": "rule"
} | {
"answer": [
"6-06"
],
"id": "wikisql-18010",
"question": "Under the 2006 list of people Playboy 2000–09; Which date has 20 questions from Jason Lee?",
"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": [
"Jerry Bruckheimer"
],
"style": "rule"
} | {
"answer": [
"Jerry Bruckheimer"
],
"id": "wikisql-18011",
"question": "Which interview subject under the list of characters in Playboy 2000-09 has a picture of vida guerra under 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": [
"11-06"
],
"style": "rule"
} | {
"answer": [
"11-06"
],
"id": "wikisql-18012",
"question": "Which date contains images of Mercedes Mcnab, Hawaiian girl among the list of characters in Playboy 2000-09 of 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": [
"The Girls Next Door , Natalie Reid"
],
"style": "rule"
} | {
"answer": [
"The Girls Next Door , Natalie Reid"
],
"id": "wikisql-18013",
"question": "Which pictorials have 20 Questions by Eva Longoria among the list of people in Playboy 2000–09 of 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": [
"Mark Cuban"
],
"style": "rule"
} | {
"answer": [
"Mark Cuban"
],
"id": "wikisql-18014",
"question": "What is the interview subject of a centerfold model of Athena Lundberg under the list of characters in Playboy 2000-09 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-18017",
"question": "How many numbers did Brandon Dean have as a name on the Powerade Tigers All-Time D Roster?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-18032",
"question": "What are the total losses to 1412 and 10 wins but less than 0 ties for the 2011 Ballarat Football League leaders?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-18033",
"question": "What is the highest tie in the Ballarat Football League compared to 2161 ties in the 2011 ladder?",
"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": "wikisql-18034",
"question": "What is the total number of losses to 1412 and byes less than 2 for Ballarat Football League 2011 Ladder?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-18035",
"question": "What are the lowest wins in the 2011 Ballarat Football League ladder by less than 2 byes?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-18036",
"question": "What is the highest Ballarat Football League 2011 Ladder score with 0 wins and more than 2 byes?",
"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": [
"38"
],
"style": "rule"
} | {
"answer": [
"38"
],
"id": "wikisql-18037",
"question": "How does the total of wins compare to the smaller result of 1148 in the 2011 Ballarat Football League Ladder?",
"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": [
"Sue Blane"
],
"style": "rule"
} | {
"answer": [
"Sue Blane"
],
"id": "wikisql-18041",
"question": "Who is the nominee for Best Costume Design in the original London production of Into the Woods?",
"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": [
"Cavaliers"
],
"style": "rule"
} | {
"answer": [
"Cavaliers"
],
"id": "wikisql-18048",
"question": "What was the home team the Clippers played in November of the 2005-06 Cleveland Cavaliers 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": [
"4–2"
],
"style": "rule"
} | {
"answer": [
"4–2"
],
"id": "wikisql-18049",
"question": "What is the record of the game in which Lebron James (16) was the top scorer in the Cleveland Cavaliers 2005-06 season in November?",
"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": [
"1:00 P.M."
],
"style": "rule"
} | {
"answer": [
"1:00 P.M."
],
"id": "wikisql-18057",
"question": "When was the week 2 game of the 2008 New York Giants regular 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": [
"W 41–13"
],
"style": "rule"
} | {
"answer": [
"W 41–13"
],
"id": "wikisql-18058",
"question": "What was the result of the game on September 14, 2008 for the New York Giants regular 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": [
"W 37–29"
],
"style": "rule"
} | {
"answer": [
"W 37–29"
],
"id": "wikisql-18059",
"question": "What was the final score of the New York Giants 2008 regular season game on November 23, 2008?",
"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": [
"Sky TV + Sky HD"
],
"style": "rule"
} | {
"answer": [
"Sky TV + Sky HD"
],
"id": "wikisql-18065",
"question": "What package/option does sky arte hd have as a television service under television in Italy's worlds and cultures?",
"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": [
"Italian",
"Italian"
],
"style": "rule"
} | {
"answer": [
"Italian",
"Italian"
],
"id": "wikisql-18066",
"question": "What language is NO as HDTV, Sky Famiglia as package/option and National Geographic Channel as TV service in Italy's Worlds & Cultures?",
"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": [
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian"
],
"style": "rule"
} | {
"answer": [
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian",
"Italian"
],
"id": "wikisql-18067",
"question": "What language is Sky Famiglia as a package/option ... |
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": [
"Italian",
"Italian",
"Italian",
"Italian"
],
"style": "rule"
} | {
"answer": [
"Italian",
"Italian",
"Italian",
"Italian"
],
"id": "wikisql-18068",
"question": "Listing of TV in Italy, which language has \"viaggi\" as content among cultures of the world?",
"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": [
"Discovery Channel",
"Discovery Channel +1",
"National Geographic Channel",
"National Geographic Channel +1",
"Discovery Science",
"History",
"History +1",
"Nat Geo Wild",
"Animal Planet",
"Discovery Channel",
"National Geographic Channel",
"Discover... | {
"answer": [
"Discovery Channel",
"Discovery Channel +1",
"National Geographic Channel",
"National Geographic Channel +1",
"Discovery Science",
"History",
"History +1",
"Nat Geo Wild",
"Animal Planet",
"Discovery Channel",
"National Geographic Channel",
"Discovery Scie... |
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 May 1980"
],
"style": "rule"
} | {
"answer": [
"11 May 1980"
],
"id": "wikisql-18091",
"question": "What was the date of the European Tour 14 victories under Greg Norman's Paco Rabanne Open de France?",
"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 May 1980"
],
"style": "rule"
} | {
"answer": [
"11 May 1980"
],
"id": "wikisql-18092",
"question": "What date was Ian Mosey second for Greg Norman European Tour wins (14)?",
"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": [
"22-25"
],
"style": "rule"
} | {
"answer": [
"22-25"
],
"id": "wikisql-18093",
"question": "Which set 2 has a set 4 of 21-25 for the 2002 FIVB Volleyball World League (Pool D) results?",
"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": [
"3-2"
],
"style": "rule"
} | {
"answer": [
"3-2"
],
"id": "wikisql-18094",
"question": "What was the result pool: D's score when Set 3 of the 2002 FIVB Volleyball World League was 26-28?",
"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": [
"Jun 6"
],
"style": "rule"
} | {
"answer": [
"Jun 6"
],
"id": "wikisql-18095",
"question": "When was 3 of 18-25 set for 2002 FIVB Volleyball World League (Pool D) results?",
"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": [
"1.0"
],
"style": "rule"
} | {
"answer": [
"1.0"
],
"id": "wikisql-18142",
"question": "What is the smallest track written by Dennis Linde that is 2:50 minutes long on Elvis' Gold Records Volume 5's Side Two?",
"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": [
"2:50"
],
"style": "rule"
} | {
"answer": [
"2:50"
],
"id": "wikisql-18143",
"question": "How long is the song titled Burning Love on the second side of Elvis' Gold Records Volume 5?",
"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": [
"5/10/74"
],
"style": "rule"
} | {
"answer": [
"5/10/74"
],
"id": "wikisql-18144",
"question": "When was the song entitled If you talk in your sleep from Elvis' Gold Records Volume 5 page 2 released?",
"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": "wikisql-18148",
"question": "What are the wards/branches of the Fort Smith Arkansas Stake of The Church of Jesus Christ of Latter-day Saints?",
"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": [
"Fort Smith Arkansas"
],
"style": "rule"
} | {
"answer": [
"Fort Smith Arkansas"
],
"id": "wikisql-18149",
"question": "What part does the real estate agent for American Equity Realty have in his work at The Church of Jesus Christ of Latter-day Saints in Arkansas?",
"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": [
"August 11, 1991"
],
"style": "rule"
} | {
"answer": [
"August 11, 1991"
],
"id": "wikisql-18150",
"question": "From the list of The Church of Jesus Christ of Latter-day Saints in Arkansas, what is the organized date of the pyre with a job as a senior buyer for Wal-Mart?",
"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": [
"North Little Rock Arkansas"
],
"style": "rule"
} | {
"answer": [
"North Little Rock Arkansas"
],
"id": "wikisql-18152",
"question": "What proportion does 16 wards/branches in Arkansas have under The Church of Jesus Christ of Latter-day Saints?",
"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": [
"José Napoleón Duarte"
],
"style": "rule"
} | {
"answer": [
"José Napoleón Duarte"
],
"id": "wikisql-18159",
"question": "Who was the interview subject on the date that pictures of Christie Brinkley appeared under the list of characters in Playboy 1980-89 of 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": [
"Barbara Edwards - PMOY"
],
"style": "rule"
} | {
"answer": [
"Barbara Edwards - PMOY"
],
"id": "wikisql-18160",
"question": "Under the list of characters in Playboy 1980-89, in which issue the interview subject was Jesse Jackson, who were the 1984 pictorials?",
"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": [
"Roberta Vasquez"
],
"style": "rule"
} | {
"answer": [
"Roberta Vasquez"
],
"id": "wikisql-18162",
"question": "From the list of people in Playboy 1980-89 whose interview subject is José Napoleon Duarte, which issue was centerfold model 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": [
"Kathy Shower"
],
"style": "rule"
} | {
"answer": [
"Kathy Shower"
],
"id": "wikisql-18163",
"question": "In which issue of 2004 was the list of people in Playboy 1980-89, who was the cover model in the issue where the interview subject was Joan Collins under 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": [
"China"
],
"style": "rule"
} | {
"answer": [
"China"
],
"id": "wikisql-18168",
"question": "In which country is the Jiufotang Formation found among the pterosaurs renamed in 2006 in paleontology?",
"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": [
"Frey Buchy Stinnesbeck Gonzalez Stefano"
],
"style": "rule"
} | {
"answer": [
"Frey Buchy Stinnesbeck Gonzalez Stefano"
],
"id": "wikisql-18169",
"question": "Which author is in Mexico among the list of pterosaurs renamed in paleontology in 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": [
"China"
],
"style": "rule"
} | {
"answer": [
"China"
],
"id": "wikisql-18170",
"question": "Where is Wang Li Duan Cheng in newly named pterosaurs in 2006 in paleontology?",
"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": [
"Valid"
],
"style": "rule"
} | {
"answer": [
"Valid"
],
"id": "wikisql-18171",
"question": "What is the place of the pterosaur named Cathayopterus in paleontology, which was renamed in 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": [
"2004–2009"
],
"style": "rule"
} | {
"answer": [
"2004–2009"
],
"id": "wikisql-18172",
"question": "What years does a Texas Tech school/club team have under the Orlando Magic All-Time B roster?",
"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": [
"Ireland"
],
"style": "rule"
} | {
"answer": [
"Ireland"
],
"id": "wikisql-18174",
"question": "What is Orlando Magic All-Time B Roster Pat Burke's nationality?",
"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": [
"Villanova"
],
"style": "rule"
} | {
"answer": [
"Villanova"
],
"id": "wikisql-18175",
"question": "Which school/club team has a player by Michael Bradley in the Orlando Magic all-time B roster?",
"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": [
"Arizona"
],
"style": "rule"
} | {
"answer": [
"Arizona"
],
"id": "wikisql-18177",
"question": "which school/club team has a player from jud buechler in the orlando magic all-time broster?",
"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": "wikisql-18195",
"question": "For the San Diego Chargers 1991 season schedule, which week had 58,025 viewers?",
"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": [
"October 27, 1991"
],
"style": "rule"
} | {
"answer": [
"October 27, 1991"
],
"id": "wikisql-18196",
"question": "When was the game attended by 58,025 spectators in the 1991 San Diego Chargers regular season schedule?",
"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": "wikisql-18218",
"question": "What is the lowest start number in the 2008 Qatar MotoGP motorcycle grand prix if Colin Edwards is the rider?",
"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": [
"Accident"
],
"style": "rule"
} | {
"answer": [
"Accident"
],
"id": "wikisql-18219",
"question": "What is the time/retirement when there are less than 22 laps during the Qatar Motorcycle Grand Prix in the 2008 MotoGP classification and Honda is the manufacturer?",
"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": [
"22.0"
],
"style": "rule"
} | {
"answer": [
"22.0"
],
"id": "wikisql-18220",
"question": "What is the average number of laps since the 2008 Qatar MotoGP motorcycle Grand Prix if the car number is 9?",
"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": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-18221",
"question": "How many laps was the highest MotoGP classification for the 2008 Qatar motorcycle Grand Prix when Honda is the manufacturer and the car is number 12?",
"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": [
"Colin Edwards"
],
"style": "rule"
} | {
"answer": [
"Colin Edwards"
],
"id": "wikisql-18222",
"question": "What is the rider if the start number is 3 for the MotoGP classification of the 2008 Qatar Motorcycle Grand Prix?",
"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": "wikisql-18223",
"question": "How many laps of the 2008 Qatar motorcycle Grand Prix were completed when the time/retirement is +44.284 in the MotoGP classification?",
"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": [
"73506"
],
"style": "rule"
} | {
"answer": [
"73506"
],
"id": "wikisql-18246",
"question": "What is the highest attendance for a game the Texans played at Arrowhead Stadium among the 2002 Houston Texans preseason?",
"split": "train"
} |
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