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": [
"none"
],
"style": "rule"
} | {
"answer": [
"none"
],
"id": "wikisql-17480",
"question": "Which opponent of the 1902–03 season of Manchester United FC in the second division has an H/A of a and a score F–A of 2–0 and a viewership of more than 30,000?",
"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 November 1902"
],
"style": "rule"
} | {
"answer": [
"8 November 1902"
],
"id": "wikisql-17481",
"question": "Wann ist The Opponents of Lincoln City and a H / A of a in 1902–03 Manchester United FCs Zweitliga-Saison ?",
"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-17486",
"question": "Which 2004 draft in Jacksonville Jaguars draft history has a College of Florida State and a round greater than 2?",
"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-17487",
"question": "How many picks in 2004 Jacksonville Jaguars draft history have a kicker position and a total of less than 137?",
"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": [
"Cornerback"
],
"style": "rule"
} | {
"answer": [
"Cornerback"
],
"id": "wikisql-17488",
"question": "Which position has a pick # of 18 in the 2004 Jacksonville Jaguars Draft History?",
"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": [
"Delta State"
],
"style": "rule"
} | {
"answer": [
"Delta State"
],
"id": "wikisql-17489",
"question": "Which college has a round less than 7 and a pick number less than 27 and a name of Anthony Maddox under the 2004 Jacksonville Jaguars Draft History draft?",
"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-17490",
"question": "In Jacksonville Jaguars draft history, how much overall has a pick # greater than 9 and a round greater than 5 in the 2004 draft list of players?",
"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": [
"103–95"
],
"style": "rule"
} | {
"answer": [
"103–95"
],
"id": "wikisql-17491",
"question": "What score was for the Spurs as a visitor with a 35–16 record in the San Antonio Spurs' 2002–03 season in February?",
"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": [
"32–16"
],
"style": "rule"
} | {
"answer": [
"32–16"
],
"id": "wikisql-17492",
"question": "What record was for Warriors at home during the San Antonio Spurs' February 2002-03 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": [
"Malèna"
],
"style": "rule"
} | {
"answer": [
"Malèna"
],
"id": "wikisql-17493",
"question": "What is the original English title of Malèna, which received the 2000 Golden Globe Award for Best Foreign Language Film 2009?",
"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 Return"
],
"style": "rule"
} | {
"answer": [
"The Return"
],
"id": "wikisql-17494",
"question": "At the Golden Globe Award for Best Foreign Language Film, the original title of возвращение / vozvrashcheniye had what English title 2000 2009 ?",
"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"
],
"style": "rule"
} | {
"answer": [
"2004"
],
"id": "wikisql-17495",
"question": "At the Golden Globe Awards for Best Foreign Language Film 2000 2009, who is the director of Christophe Barratier who had which highest year?",
"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": [
"2001"
],
"style": "rule"
} | {
"answer": [
"2001"
],
"id": "wikisql-17496",
"question": "English title Amélie had what year among the Golden Globe Awards for Best Foreign Language Film 2000 2009?",
"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": [
"Florian Henckel von Donnersmarck"
],
"style": "rule"
} | {
"answer": [
"Florian Henckel von Donnersmarck"
],
"id": "wikisql-17497",
"question": "Into the Lives of Others which director originally titled the Golden Globe Award for Best Foreign Language Film 2000 2009?",
"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": [
"Bobby Locke , Dai Rees , Syd Scott"
],
"style": "rule"
} | {
"answer": [
"Bobby Locke , Dai Rees , Syd Scott"
],
"id": "wikisql-17500",
"question": "Who are the runners up by a 1 shot margin for Peter Thomson (golfer) (5) wins?",
"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": [
"Flory Van Donck"
],
"style": "rule"
} | {
"answer": [
"Flory Van Donck"
],
"id": "wikisql-17501",
"question": "Who are the runners up with a 3 shot lead for Peter Thomson (golfer) to win 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": [
"1954"
],
"style": "rule"
} | {
"answer": [
"1954"
],
"id": "wikisql-17502",
"question": "What is the year for Peter Thomson (golfer) (5) highest wins in the open 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": [
"−2 (70-70-72-74=286)"
],
"style": "rule"
} | {
"answer": [
"−2 (70-70-72-74=286)"
],
"id": "wikisql-17503",
"question": "What is the winning score for Peter Thomson (golfer) in 1956 wins (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": [
"−7 (74-68-72-71=285)"
],
"style": "rule"
} | {
"answer": [
"−7 (74-68-72-71=285)"
],
"id": "wikisql-17504",
"question": "What is the 1965 winning score among Peter Thomson (golfer) (5) wins?",
"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": [
"1956"
],
"style": "rule"
} | {
"answer": [
"1956"
],
"id": "wikisql-17505",
"question": "In which year of Peter Thomson (golfer) (5) wins did Flory van Donck finish second?",
"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-17519",
"question": "What pick in 1997 Jacksonville Jaguars draft history is the highest with a total of 184 and a round greater than 6?",
"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-17520",
"question": "How many picks in the history of the 1997 Jacksonville Jaguars draft total 114?",
"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-17521",
"question": "Which overall pick of the 1997 draft is the highest by the name of Daimon Shelton and a round greater than 6 in Jacksonville Jaguars draft history?",
"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-17522",
"question": "What is the highest pick greater than 21 overall and a College of North Carolina and a round less than 3 for the 1997 Jacksonville Jaguars Draft History?",
"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": [
"Fullback"
],
"style": "rule"
} | {
"answer": [
"Fullback"
],
"id": "wikisql-17523",
"question": "What position in 1997 Jacksonville Jaguars Draft history has a total value greater than 147 and a pick # of 21?",
"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": [
"18"
],
"style": "rule"
} | {
"answer": [
"18"
],
"id": "wikisql-17524",
"question": "What is the Jacksonville Jaguars' draft history for Cornell's lowest pick of the 1997 draft?",
"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": [
"Saved"
],
"style": "rule"
} | {
"answer": [
"Saved"
],
"id": "wikisql-17525",
"question": "Which eviction result under Pinoy Big Brother: Double Up's SE voting system result has a net vote of 31.86%?",
"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": [
"Mariel"
],
"style": "rule"
} | {
"answer": [
"Mariel"
],
"id": "wikisql-17526",
"question": "Which nominee has a vote to save 1.98% among the results of the Pinoy Big Brother: Double Up SE voting system?",
"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": [
"7.74%"
],
"style": "rule"
} | {
"answer": [
"7.74%"
],
"id": "wikisql-17527",
"question": "Which Vote to Evict has a 21.22% Vote to Save on the outcome of Pinoy Big Brother's SE voting system: Double Up?",
"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": [
"15.79%"
],
"style": "rule"
} | {
"answer": [
"15.79%"
],
"id": "wikisql-17528",
"question": "Which Vote to Save has an Eviction # less than 14 and a Vote to Evict of 5.42% under the results of the Pinoy Big Brother: Double Up SE voting system?",
"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 - 4"
],
"style": "rule"
} | {
"answer": [
"5 - 4"
],
"id": "wikisql-17537",
"question": "what has st. Louis scores at home in Detroit Red Wings 1991-92 season in March ?",
"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": [
"Sarnia Sting ( OHL )"
],
"style": "rule"
} | {
"answer": [
"Sarnia Sting ( OHL )"
],
"id": "wikisql-17571",
"question": "Which collegiate/junior/club team in the 1996-97 New York Rangers' draft picks is Canadian and Jeff Brown national?",
"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": [
"Dmitri Subbotin"
],
"style": "rule"
} | {
"answer": [
"Dmitri Subbotin"
],
"id": "wikisql-17572",
"question": "Which player has a Hc Cska Moscow (Russia) as draft picks in the New York Rangers team in the 1996-97 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": [
"Canada"
],
"style": "rule"
} | {
"answer": [
"Canada"
],
"id": "wikisql-17573",
"question": "Nationality of Daniel Goneau's 1996–97 New York Rangers Season's Draft Picks ?",
"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": [
"−12 (66-67-64-71=268)"
],
"style": "rule"
} | {
"answer": [
"−12 (66-67-64-71=268)"
],
"id": "wikisql-17595",
"question": "What was the winning result for Tom Lehman when Steve Stricker finished second in PGA Tour wins (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": [
"1 stroke"
],
"style": "rule"
} | {
"answer": [
"1 stroke"
],
"id": "wikisql-17596",
"question": "What was the winning margin when the winning point total was −14 (63-67-73-67=270) for Tom Lehman's PGA Tour wins 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": [
"Robert Allenby , Rocco Mediate"
],
"style": "rule"
} | {
"answer": [
"Robert Allenby , Rocco Mediate"
],
"id": "wikisql-17597",
"question": "Who was the runner-up when Tom Lehman won on the PGA Tour 5 on January 30, 2000 when the margin to win was 1 shot?",
"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 strokes"
],
"style": "rule"
} | {
"answer": [
"7 strokes"
],
"id": "wikisql-17598",
"question": "When Tom Lehman won the PGA Championship on the PGA Tour in 2001 he won 5, what was the margin when the win was -12 (66-67-64-71=268)?",
"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": [
"May 12, 1995"
],
"style": "rule"
} | {
"answer": [
"May 12, 1995"
],
"id": "wikisql-17599",
"question": "What day was the winning margin 1 shot when the tournament was a colonial national invitation for Tom Lehman among the PGA Tour wins 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": [
"−20 (67-67-67-67=268)"
],
"style": "rule"
} | {
"answer": [
"−20 (67-67-67-67=268)"
],
"id": "wikisql-17600",
"question": "What was the PGA Tour 5 wins Greg Norman victory score for runner up Tom Lehman?",
"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": [
"AC Loire , Nantes"
],
"style": "rule"
} | {
"answer": [
"AC Loire , Nantes"
],
"id": "wikisql-17601",
"question": "Which builder has a pennant number of Q149 among the first series Redoutable class (1931) submarines?",
"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": [
"25 June 1929"
],
"style": "rule"
} | {
"answer": [
"25 June 1929"
],
"id": "wikisql-17602",
"question": "On what date was the ship with pennant number Q144 commissioned in the first series of Redoutable-class submarines (1931)?",
"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-17603",
"question": "How many ships of the first series of Redoutable-class submarines (1931) bear the Monge name?",
"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 November 1964"
],
"style": "rule"
} | {
"answer": [
"28 November 1964"
],
"id": "wikisql-17604",
"question": "What launched Mariner 4 as the starship of 1960s interplanetary travel?",
"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": [
"24 February 1969"
],
"style": "rule"
} | {
"answer": [
"24 February 1969"
],
"id": "wikisql-17605",
"question": "What started 158 days (5 months, 8 days) as the elapsed time from the list of interplanetary travel in the 1960s?",
"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-17613",
"question": "What is the lowest number of defeats for a team with 0+ wins in Britain's imperfect 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17614",
"question": "What is the average number of losses for UK teams with fewer than 0 wins in the Imperfect 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17615",
"question": "What is the average number of wins in Britain's Imperfect season for Runcorn Highfield with more than 0 draws?",
"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": [
"7.0"
],
"style": "rule"
} | {
"answer": [
"7.0"
],
"id": "wikisql-17638",
"question": "Which position among the Camping World 200 of the 2008 NASCAR Craftsman Truck Series has a car number less than 18 and a driver owned by Mike Skinner?",
"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": [
"Bill Davis Racing"
],
"style": "rule"
} | {
"answer": [
"Bill Davis Racing"
],
"id": "wikisql-17639",
"question": "Which team has a position greater than 3, a make by Toyota, a car number less than 59, and a driver by Mike Skinner in the 2008 NASCAR Craftsman Truck Series Camping World 200?",
"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": "wikisql-17640",
"question": "What position does a Roush Fenway Racing team and car number 99 have in the 2008 NASCAR Craftsman Truck Series Camping World 200?",
"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": [
"5.0"
],
"style": "rule"
} | {
"answer": [
"5.0"
],
"id": "wikisql-17641",
"question": "Among the 2008 NASCAR Craftsman Truck Series for Camping World 200, which car # has a make by Toyota and a pos 7?",
"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": "wikisql-17642",
"question": "What position does a German racing team have among the Camping World 200 of the 2008 NASCAR Craftsman Truck 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17649",
"question": "What is the aggregate capacity for Carrigh Windwarm of 0.85MW size and more than 3 turbines in wind power in the Republic of Ireland's completed onshore wind farms?",
"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-17650",
"question": "Considering the Republic of Ireland's completed onshore wind farms, how large is the Wexford wind farm which has 19+ turbines and a supplier from Enercon?",
"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": [
"Vestas"
],
"style": "rule"
} | {
"answer": [
"Vestas"
],
"id": "wikisql-17651",
"question": "Among the Republic of Ireland's completed onshore wind farms, who is the turbine seller for Meenadreen Farm in Donegal County with less than 6 0.85MW turbines?",
"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": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-17660",
"question": "Which 1997 accompanied 1991 when the tournament was the Australian Open among Clare Wood's mixed doubles?",
"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": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-17661",
"question": "Which 1997 was 1992 1r when 1994 was a in Clare Woods mixed doubles?",
"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": [
"3R"
],
"style": "rule"
} | {
"answer": [
"3R"
],
"id": "wikisql-17662",
"question": "Which 1995 tournament was the French Open mixed doubles under Clare Wood?",
"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": [
"1R"
],
"style": "rule"
} | {
"answer": [
"1R"
],
"id": "wikisql-17663",
"question": "What stats from 1989, 1991 and 1994 were 1r among mixed doubles: 6 (3 titles, 3 runners-up) Clare Wood ?",
"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": [
"A"
],
"style": "rule"
} | {
"answer": [
"A"
],
"id": "wikisql-17664",
"question": "Under Clare Wood who was 3r for mixed doubles in the 1990s 1992?",
"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": "wikisql-17680",
"question": "How many wins among the leaders of the 1987 PGA Tour does the player ranked lower than 3 with earnings of $3,315,502 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": [
"29"
],
"style": "rule"
} | {
"answer": [
"29"
],
"id": "wikisql-17681",
"question": "What is the most wins of the player with less than $4,976,980 in earnings and ranked lower than 4th among the leaders of the 1987 PGA Tour?",
"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-17686",
"question": "What is the average number of top 5s for the major with 5 top 10s and less than 12 cuts for Tom Lehman'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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17687",
"question": "What is the average number of Tom Lehman's top 10 among the majors with 2 top 25 and less than 10 cuts from 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17689",
"question": "How many total events had 12, more than 2 top 5s and more than 11 top 10s cut from Tom Lehman'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-17690",
"question": "How many overall wins are associated with events with 1 top 10 in Tom Lehman'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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17691",
"question": "What is the average number of cuts summarizing events with less than 1 win and exactly 11 top 10 finishes for Tom Lehman?",
"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": [
"Win–Loss"
],
"style": "rule"
} | {
"answer": [
"Win–Loss"
],
"id": "wikisql-17693",
"question": "Which tournament in 2006 had a score of 0-0 on Monica Niculescu's individual performance timeline?",
"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": "wikisql-17722",
"question": "What is the lowest BYU pick in the Atlanta Falcons' '1995 Draft'?",
"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-17723",
"question": "Which cornerback round in Atlanta Falcons draft history among the 1995 draft has a pick number less than 26 and a total of more than 41?",
"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-17724",
"question": "From Atlanta Falcons draft history, what is the total for the 1995 College of Wyoming draft?",
"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-17725",
"question": "What is the overall round for a wide receiver with a total of more than 145 in the 1995 Atlanta Falcons draft?",
"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": [
"13"
],
"style": "rule"
} | {
"answer": [
"13"
],
"id": "wikisql-17726",
"question": "What is the College of Ohio State pick number with a total under 145 under the Atlanta Falcons 1995 Draft History?",
"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": [
"2010-11"
],
"style": "rule"
} | {
"answer": [
"2010-11"
],
"id": "wikisql-17750",
"question": "Regarding the promotion to the 2. Bundesliga, what is the date of the 3. Liga of Dynamo Dresden 3. Liga promotion round?",
"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": [
"Dynamo Dresden"
],
"style": "rule"
} | {
"answer": [
"Dynamo Dresden"
],
"id": "wikisql-17751",
"question": "What is 3rd league of 2010-11 in promotion to 3rd league promotion round of 2nd federal 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": [
"SC Paderborn 07"
],
"style": "rule"
} | {
"answer": [
"SC Paderborn 07"
],
"id": "wikisql-17752",
"question": "What is 3rd league from game 1 of 0-1 between 2008-09 years for 2008-09 promotion rounds to 2nd Bundesliga?",
"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": [
"6–3, 3–6, [10–8]"
],
"style": "rule"
} | {
"answer": [
"6–3, 3–6, [10–8]"
],
"id": "wikisql-17753",
"question": "What result in the finals has a score as the winner and a surface of Hard (i) in Jordan Kerr's Doubles: 15 (9-6) match?",
"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": [
"Grass"
],
"style": "rule"
} | {
"answer": [
"Grass"
],
"id": "wikisql-17754",
"question": "Which surface has a partner of Jim Thomas and a 2007 date of Jordan Kerr's Doubles: 15 (9–6)?",
"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": [
"Raymond Floyd"
],
"style": "rule"
} | {
"answer": [
"Raymond Floyd"
],
"id": "wikisql-17769",
"question": "What is the name of the player among the 1985 PGA Tour money leaders with less than 2 wins?",
"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": [
"446893"
],
"style": "rule"
} | {
"answer": [
"446893"
],
"id": "wikisql-17770",
"question": "What is the number of earnings for 2+ wins and 25+ events for 1985 PGA Tour's Money 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-17771",
"question": "What is the greatest number of events with more than 2 wins and less than $446,893 in earnings among the 1985 PGA Tour Money 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-17772",
"question": "What is the largest event grossing less than $384,489 to rank 4th among the 1985 PGA Tour Money Leaders with less than 1 win?",
"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": [
"Toyota"
],
"style": "rule"
} | {
"answer": [
"Toyota"
],
"id": "wikisql-17777",
"question": "Which make has a position of 3 on the American Commercial Lines 200 of the 2008 NASCAR Craftsman Truck 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-17778",
"question": "Among the 2008 NASCAR Craftsman Truck Series by American Commercial Lines 200, which car # has a make by Toyota and a driver by Mike Skinner and a pos 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": [
"Chevrolet"
],
"style": "rule"
} | {
"answer": [
"Chevrolet"
],
"id": "wikisql-17779",
"question": "What make has a car number greater than 59 in the American Commercial Lines 200 of the 2008 NASCAR Craftsman Truck 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": [
"American Gothic"
],
"style": "rule"
} | {
"answer": [
"American Gothic"
],
"id": "wikisql-17782",
"question": "What was the name of Elissa Sursara on TV in 1996?",
"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": [
"Rea"
],
"style": "rule"
} | {
"answer": [
"Rea"
],
"id": "wikisql-17783",
"question": "What role did Elissa Sursara play in 2001 TV?",
"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": [
"English"
],
"style": "rule"
} | {
"answer": [
"English"
],
"id": "wikisql-17784",
"question": "What language was recorded for Elissa Sursara's TV?",
"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": [
"Whale Wars"
],
"style": "rule"
} | {
"answer": [
"Whale Wars"
],
"id": "wikisql-17785",
"question": "Which Elissa Sursara's Television title had notes of 8 episodes?",
"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": [
"Para Crancias"
],
"style": "rule"
} | {
"answer": [
"Para Crancias"
],
"id": "wikisql-17786",
"question": "What title is in Portuguese under Elissa Sursara's TV?",
"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": [
"Alex"
],
"style": "rule"
} | {
"answer": [
"Alex"
],
"id": "wikisql-17787",
"question": "What role did Elissa Sursara play in 1996 TV?",
"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": [
"Daily"
],
"style": "rule"
} | {
"answer": [
"Daily"
],
"id": "wikisql-17812",
"question": "How often is elmanana.com.mx visited by the news newspapers and news sites in Laredo, Texas?",
"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": [
"53"
],
"style": "rule"
} | {
"answer": [
"53"
],
"id": "wikisql-17825",
"question": "How much does a pick of 26 total for the 1968 Atlanta Falcons draft history draft?",
"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": [
"Wide Receiver"
],
"style": "rule"
} | {
"answer": [
"Wide Receiver"
],
"id": "wikisql-17826",
"question": "What position in the 1968 draft has a round less than 14 and a College of Illinois in the Atlanta Falcons draft history?",
"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": [
"53"
],
"style": "rule"
} | {
"answer": [
"53"
],
"id": "wikisql-17827",
"question": "How much total does a round less than 6 and a pick number of 26 have under the 1968 draft of Atlanta Falcons draft history?",
"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-17828",
"question": "What is the draft history of the Atlanta Falcons, Roy Hall's top draft in 1968?",
"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-17829",
"question": "How many total have a pick number greater than 2 and a name of Claude Humphrey in 1968 Atlanta Falcons draft history?",
"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": [
"$35.1 billion"
],
"style": "rule"
} | {
"answer": [
"$35.1 billion"
],
"id": "wikisql-17839",
"question": "What international tourism spending (2012) has international tourism spending (2011) of $33.3 billion in world tourism rankings?",
"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": [
"Europe"
],
"style": "rule"
} | {
"answer": [
"Europe"
],
"id": "wikisql-17840",
"question": "What is the World Tourism Ranking for Italy's 2012 UNWTO Regional Ranking in International Tourism Expenditure?",
"split": "train"
} |
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