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": [
"Dee Johnson"
],
"style": "rule"
} | {
"answer": [
"Dee Johnson"
],
"id": "wikisql-00321",
"question": "From Melrose Place episodes list Season 4: 1995-1996, who was the writer of episode with production code 2395096?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 J. Metoyer"
],
"style": "rule"
} | {
"answer": [
"Robert J. Metoyer"
],
"id": "wikisql-00322",
"question": "List of Melrose Place episodes where production code 2398204 was filmed in season 7: 1998-1999 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"March8,1999"
],
"style": "rule"
} | {
"answer": [
"March8,1999"
],
"id": "wikisql-00323",
"question": "From the list of Melrose Place Season 7 episodes: 1998-1999, when did \"Unpleasantville\" air?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00328",
"question": "How many colleges have a DB position in the fourth round of the 2004 CFL 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": [
"28"
],
"style": "rule"
} | {
"answer": [
"28"
],
"id": "wikisql-00329",
"question": "What is the maximum number of picks for the CFL team Calgary Stampeders in the fourth round of the 2004 CFL 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": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-00330",
"question": "How many CFL teams from the 2004 CFL Draft are from York College fourth 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": [
"Winnipeg Blue Bombers"
],
"style": "rule"
} | {
"answer": [
"Winnipeg Blue Bombers"
],
"id": "wikisql-00331",
"question": "Which CFL teams are part of Simon Fraser College as of the fourth round of the 2004 CFL 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": [
"Connor Healey"
],
"style": "rule"
} | {
"answer": [
"Connor Healey"
],
"id": "wikisql-00332",
"question": "Which players will have 27 fourth-round picks in the 2004 CFL 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-00333",
"question": "How many times was a player named Brett Ralph selected in Round 6 of the 2005 CFL 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": [
"Adams State"
],
"style": "rule"
} | {
"answer": [
"Adams State"
],
"id": "wikisql-00334",
"question": "Which schools did Lenard Semajuste play for in the sixth round of the 2005 CFL 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": [
"48"
],
"style": "rule"
} | {
"answer": [
"48"
],
"id": "wikisql-00335",
"question": "What is the highest pick for the Saskatchewan Roughriders team in the sixth round of the 2005 CFL 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-00336",
"question": "How many fb players were drafted in the sixth round of the 2005 CFL 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-00337",
"question": "How many players in the 2005 CFL Draft played for Adams State School in the sixth 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": [
"Winnipeg Blue Bombers"
],
"style": "rule"
} | {
"answer": [
"Winnipeg Blue Bombers"
],
"id": "wikisql-00338",
"question": "Which teams drafted players who played for the Northwood School in Round Six 2005 CFL 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": [
"Regina"
],
"style": "rule"
} | {
"answer": [
"Regina"
],
"id": "wikisql-00339",
"question": "Which college did Craig Zimmer pick in the fifth round of the 2004 CFL 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": [
"41"
],
"style": "rule"
} | {
"answer": [
"41"
],
"id": "wikisql-00340",
"question": "What is Regina's fifth-round pick in the 2004 CFL 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": [
"Craig Zimmer"
],
"style": "rule"
} | {
"answer": [
"Craig Zimmer"
],
"id": "wikisql-00341",
"question": "What is the player who is lb and CFL team is Saskatchewan Roughriders considering fifth round of 2004 CFL 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": [
"Hamilton Tiger-Cats"
],
"style": "rule"
} | {
"answer": [
"Hamilton Tiger-Cats"
],
"id": "wikisql-00342",
"question": "What is the CFL team that has held a position as ol since the 2004 CFL Draft Round 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"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-00343",
"question": "What is the number of the position where pick number 43 is for the fifth round of the 2004 CFL 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": [
"Winnipeg Blue Bombers"
],
"style": "rule"
} | {
"answer": [
"Winnipeg Blue Bombers"
],
"id": "wikisql-00344",
"question": "Considering the 2004 CFL draft, what is the fifth round CFL team with Ryan Folk?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Report"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-00357",
"question": "From the 2000 CART season, what are all the race results reports where Paul Tracy set the fastest lap?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hélio Castroneves"
],
"style": "rule"
} | {
"answer": [
"Hélio Castroneves"
],
"id": "wikisql-00358",
"question": "Who drove the fastest lap of the 2000 CART season at the Tenneco Automotive Grand Prix of Detroit Race 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": [
"Juan Pablo Montoya"
],
"style": "rule"
} | {
"answer": [
"Juan Pablo Montoya"
],
"id": "wikisql-00359",
"question": "Who had the fastest lap in the races won by Max Papis among the 2000 CART season race 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"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-00360",
"question": "How many winning drivers were there in the 2000 CART season race results at round 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": [
"Democratic"
],
"style": "rule"
} | {
"answer": [
"Democratic"
],
"id": "wikisql-00370",
"question": "What is the party with a 51.0% Brooklyn vote in the 1932 New York City mayoral election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10.4%"
],
"style": "rule"
} | {
"answer": [
"10.4%"
],
"id": "wikisql-00371",
"question": "How does Brooklyn compare with Queens at 16.8% in the 1932 New York City mayoral election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"234372"
],
"style": "rule"
} | {
"answer": [
"234372"
],
"id": "wikisql-00372",
"question": "What is the minimum total in the 1932 New York City mayoral election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12.6%"
],
"style": "rule"
} | {
"answer": [
"12.6%"
],
"id": "wikisql-00373",
"question": "What is the % with a total of 249887 and a Queens value of 6.8% for the 1932 New York City mayoral election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11 November 2008"
],
"style": "rule"
} | {
"answer": [
"11 November 2008"
],
"id": "wikisql-00399",
"question": "When will Team Galway's 2008 All-Ireland Senior Hurling Championship managerial change appointment dates be changed?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 June 2008"
],
"style": "rule"
} | {
"answer": [
"24 June 2008"
],
"id": "wikisql-00400",
"question": "When are the vacant dates for outgoing manager Damien Fox from the 2008 All-Ireland Senior Hurling Championship managerial changes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 June 2008"
],
"style": "rule"
} | {
"answer": [
"5 June 2008"
],
"id": "wikisql-00401",
"question": "When is the date of Davy Fitzgerald's vacancy to replace the 2008 lead change at the All-Ireland Senior Hurling 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": [
"Galway"
],
"style": "rule"
} | {
"answer": [
"Galway"
],
"id": "wikisql-00402",
"question": "Which team has outgoing manager John Meyler among the 2008 All-Ireland Senior Hurling Championship manager changes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Super Callanetics"
],
"style": "rule"
} | {
"answer": [
"Super Callanetics"
],
"id": "wikisql-00403",
"question": "The catalog number for Callan Pinckney by 2010 Official Callanetics Videos is 80809, what is the title?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00404",
"question": "Where the title starts with Callanetics what is the overall format for Callan Pinckney among the official Callanetics videos?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"MCA Universal"
],
"style": "rule"
} | {
"answer": [
"MCA Universal"
],
"id": "wikisql-00405",
"question": "where is the catalog number 81258 in callan pinckney what are all the official callanetics videos of the studio?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Callan Productions Corp."
],
"style": "rule"
} | {
"answer": [
"Callan Productions Corp."
],
"id": "wikisql-00406",
"question": "What is all the proprietary information of Callan Pinckney's official Callanetics videos titled \"am/pm callanetics\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00407",
"question": "What was the attendance of GF at the Australian rugby league premieres in 1908 1994 in the New South Wales Rugby League at the Sydney Football Stadium site, Sydney (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": [
"Balmain Tigers"
],
"style": "rule"
} | {
"answer": [
"Balmain Tigers"
],
"id": "wikisql-00408",
"question": "Which losing team had a score of 24-12 among Australian rugby league Premiers 1908 1994 New South Wales Rugby 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": [
"St. George Dragons"
],
"style": "rule"
} | {
"answer": [
"St. George Dragons"
],
"id": "wikisql-00409",
"question": "What was the losing team in the 1908-1994 season of the 1993 New South Wales-Riding NSW Rugby League season among Australian Rugby League Premiers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00415",
"question": "How many seasons have the Canterbury Bulldogs (8) won in Australian rugby league premieres since 1998 - National Rugby 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-00416",
"question": "How many teams lost in Australian Rugby League Premiers at Sydney Football Stadium, Sydney (11) since 1998 - National Rugby 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": [
"26 September 1999"
],
"style": "rule"
} | {
"answer": [
"26 September 1999"
],
"id": "wikisql-00417",
"question": "What was the date on which the st. george-illawarra dragons lost in australian rugby league firsts 1998 present national rugby 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": [
"Melbourne Storm (1)"
],
"style": "rule"
} | {
"answer": [
"Melbourne Storm (1)"
],
"id": "wikisql-00418",
"question": "Brett Kimmorley, who was selected for the Clive Churchill Medal, was on which team in Australia's rugby league debuts: 1998 now National Rugby 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": [
"Tuesday 8/7c"
],
"style": "rule"
} | {
"answer": [
"Tuesday 8/7c"
],
"id": "wikisql-00448",
"question": "What was the time slot for the Reaper (TV Series) season 2 episode that aired May 12, 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": [
"0.8/2"
],
"style": "rule"
} | {
"answer": [
"0.8/2"
],
"id": "wikisql-00449",
"question": "What is the 18-49 (Rating/Share) of the episode under Reaper (TV Series) that originally aired May 5, 2009 in Season 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-00450",
"question": "What is the total number of episodes of the Reaper TV Series Season 2 that were viewed by 1.82 million viewers when it first aired?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.2"
],
"style": "rule"
} | {
"answer": [
"1.2"
],
"id": "wikisql-00451",
"question": "What is the age rating for the second season episode of the Reaper TV series which originally aired May 5, 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 Good Soil "
],
"style": "rule"
} | {
"answer": [
" The Good Soil "
],
"id": "wikisql-00452",
"question": "What episode was watched by 2.05 million viewers of Reaper (TV Series) Season 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": [
"England"
],
"style": "rule"
} | {
"answer": [
"England"
],
"id": "wikisql-00453",
"question": "What nationality is David Bairstow among List A cricket records with most career redundancies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Adam Gilchrist"
],
"style": "rule"
} | {
"answer": [
"Adam Gilchrist"
],
"id": "wikisql-00454",
"question": "What are the players whose rank is 2 on List A Cricket Records? Most layoffs in a career?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Australia"
],
"style": "rule"
} | {
"answer": [
"Australia"
],
"id": "wikisql-00456",
"question": "Where is Adam Gilchrist among the most career layoffs from List A Cricket Records?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"Win"
],
"id": "wikisql-00473",
"question": "What was the result of round 2r for the Fed Cup individual performances (9) Ana Timotić?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Slovenia"
],
"style": "rule"
} | {
"answer": [
"Slovenia"
],
"id": "wikisql-00474",
"question": "Who Tina Pisnik did a verse for Ana Timotić in Fed Cup individual performances (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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-00475",
"question": "How many rounds were 2r under Ana Timotić's performances in Fed Cup singles (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": [
"Win"
],
"style": "rule"
} | {
"answer": [
"Win"
],
"id": "wikisql-00476",
"question": "Name Ana Timotić's Round 2 result among Fed Cup individual performances (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": [
"Interlagos"
],
"style": "rule"
} | {
"answer": [
"Interlagos"
],
"id": "wikisql-00480",
"question": "Among all the races of the Grands Prix of the 1992 Formula 1 season, what are all the places where the date is April 5th?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nigel Mansell"
],
"style": "rule"
} | {
"answer": [
"Nigel Mansell"
],
"id": "wikisql-00481",
"question": "What are all the pole positions on July 26th for the Grands Prix of the 1992 Formula 1 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": [
"Williams - Renault"
],
"style": "rule"
} | {
"answer": [
"Williams - Renault"
],
"id": "wikisql-00482",
"question": "Who are all the winning constructors where the fastest lap is Riccardo Patrese and the Interlagos location in the 1992 Formula 1 Grand Prix 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": [
"Report"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-00483",
"question": "What are all the reports of the 1992 Formula 1 season where the winning constructor was Williams-Renault and the Grand Prix was the South African 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": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-00484",
"question": "What is the minimum lap in the 1992 Formula 1 season where the Grand Prix is the German 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": [
"Marine Technical College"
],
"style": "rule"
} | {
"answer": [
"Marine Technical College"
],
"id": "wikisql-00486",
"question": "Which colleges have the English abbreviation MTC under Daigakkō's Administered by Independent Administrative Institutions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"農業者大学校"
],
"style": "rule"
} | {
"answer": [
"農業者大学校"
],
"id": "wikisql-00487",
"question": "What does Daigakkō mean among the English names for the meaning of Japanese orthography for the National Farmers Academy administered by independent administrative institutions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CAC"
],
"style": "rule"
} | {
"answer": [
"CAC"
],
"id": "wikisql-00488",
"question": "What is the abbreviation for college, pronounced \"kōkū daigakkō\" in Daigakkō, administered by independent administrative institutions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00489",
"question": "How many providers were established in Daigakkō in 1964 and managed by independent administrative institutions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"水産大学校"
],
"style": "rule"
} | {
"answer": [
"水産大学校"
],
"id": "wikisql-00490",
"question": "For Daigakkō, what is the Japanese orthography for the National Fisheries University administered by independent administrative institutions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00491",
"question": "What is the minimum number of half marathon winners (women) in Riga Marathon per country?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00492",
"question": "How many half marathons (men) in total have represented Kazakhstan in the winners by country at the Riga Marathon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00494",
"question": "How many times is Moldova the winner of half marathon (women) among winners of Riga marathon by country?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Latvia"
],
"style": "rule"
} | {
"answer": [
"Latvia"
],
"id": "wikisql-00495",
"question": "Which country has a half marathon (women) greater than 1.0 in Riga Marathon's Winners by country?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"McLaren - Honda"
],
"style": "rule"
} | {
"answer": [
"McLaren - Honda"
],
"id": "wikisql-00496",
"question": "What is the make of the car that won the Brazilian Grand Prix in the 1988 Formula 1 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": [
"Nigel Mansell"
],
"style": "rule"
} | {
"answer": [
"Nigel Mansell"
],
"id": "wikisql-00497",
"question": "Who set the fastest lap for lap 8 in the 1988 Formula 1 season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 October"
],
"style": "rule"
} | {
"answer": [
"2 October"
],
"id": "wikisql-00498",
"question": "What day was the Grand Prix of the 1988 Formula 1 season in Jerez season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Detroit Grand Prix"
],
"style": "rule"
} | {
"answer": [
"Detroit Grand Prix"
],
"id": "wikisql-00499",
"question": "Which event was in Detroit 1988 among Formula 1 season recaps?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00500",
"question": "In how many events did Nigel Mansell drive the fastest and a Mclaren-Honda win in the 1988 Formula 1 season in review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 July"
],
"style": "rule"
} | {
"answer": [
"3 July"
],
"id": "wikisql-00501",
"question": "What day is the French Grand Prix in the 1988 Formula 1 season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Fitzroy"
],
"style": "rule"
} | {
"answer": [
"Fitzroy"
],
"id": "wikisql-00503",
"question": "Who are the winners if the season result is 9th for the Australian Football League preseason and night series premieres between 1977 and 1987?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hawthorn"
],
"style": "rule"
} | {
"answer": [
"Hawthorn"
],
"id": "wikisql-00504",
"question": "What is the grand finalist where the winner is Collingwood among preseason and night series Australian Football League 1977 1987?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Premier"
],
"style": "rule"
} | {
"answer": [
"Premier"
],
"id": "wikisql-00505",
"question": "In the Australian Football League pre-season and night series winners list, the 1977 and 1987 season premieres list the season result when the margin is 51?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gilles Villeneuve"
],
"style": "rule"
} | {
"answer": [
"Gilles Villeneuve"
],
"id": "wikisql-00522",
"question": "What is the fastest lap with Gilles Villeneuve on pole in the 1981 Formula 1 season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"René Arnoux"
],
"style": "rule"
} | {
"answer": [
"René Arnoux"
],
"id": "wikisql-00524",
"question": "Who drove the fastest lap in the 1981 Formula 1 season with race winner John Watson?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Report"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-00530",
"question": "What is the report under Season Review 1979 Formula 1 Season Location Österreichring ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Report"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-00531",
"question": "What is the 1979 Formula 1 Argentine Grand Prix Season Recap Report?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00532",
"question": "In the 1979 Formula 1 season, what is the minimum number in the Italian Grand Prix season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00533",
"question": "What is the total number of season recaps dated April 29 in the 1979 Formula 1 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": [
"Jean-Pierre Jabouille"
],
"style": "rule"
} | {
"answer": [
"Jean-Pierre Jabouille"
],
"id": "wikisql-00534",
"question": "What is the race winner of the 1979 Formula 1 season with constructor Renault's season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 January"
],
"style": "rule"
} | {
"answer": [
"21 January"
],
"id": "wikisql-00535",
"question": "What is the date with the season review of the 1st Formula 1 season 1979?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Emerson Fittipaldi"
],
"style": "rule"
} | {
"answer": [
"Emerson Fittipaldi"
],
"id": "wikisql-00536",
"question": "Who won the non-championship Formula 1 race results at Brands Hatch circuit in 1972?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lotus"
],
"style": "rule"
} | {
"answer": [
"Lotus"
],
"id": "wikisql-00537",
"question": "Who constructed the non-championship race results of the 1972 Formula One season at the Italian Republic 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": [
"XIX International Gold Cup"
],
"style": "rule"
} | {
"answer": [
"XIX International Gold Cup"
],
"id": "wikisql-00538",
"question": "Which race was held at Oulton Park in the 1972 Formula One season among the results of non-championship races?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Report"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-00539",
"question": "Among the non-championship race results of the 1972 Formula One season, what did the 1st Brazilian Grand Prix not report?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Spanish Grand Prix"
],
"style": "rule"
} | {
"answer": [
"Spanish Grand Prix"
],
"id": "wikisql-00540",
"question": "In which race is Niki Lauda the pole position and the date is April 27, 1975. Season review of the Formula 1 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": [
"8 June"
],
"style": "rule"
} | {
"answer": [
"8 June"
],
"id": "wikisql-00541",
"question": "What is the date the constructor is Ferrari and the location is Anderstorp under the date of the 1975 Formula 1 season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-00542",
"question": "How many times is pole position Niki Lauda and the race is Monaco Grand Prix under Formula 1 season review in 1975?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Report"
],
"style": "rule"
} | {
"answer": [
"Report"
],
"id": "wikisql-00543",
"question": "What is the 1975 Formula 1 season report detailing Kyalami season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Carlos Pace"
],
"style": "rule"
} | {
"answer": [
"Carlos Pace"
],
"id": "wikisql-00544",
"question": "Who is the pole position for the 1975 Formula 1 Round 3 season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Brazilian Grand Prix"
],
"style": "rule"
} | {
"answer": [
"Brazilian Grand Prix"
],
"id": "wikisql-00545",
"question": "What is the race from the 1975 Formula 1 season where the fastest lap is set by Jean-Pierre Jarier in season review?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 September"
],
"style": "rule"
} | {
"answer": [
"21 September"
],
"id": "wikisql-00546",
"question": "What date is listed at number 13 in the non-championship race results of the 1963 Formula One 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": [
"28 July"
],
"style": "rule"
} | {
"answer": [
"28 July"
],
"id": "wikisql-00547",
"question": "What is the date of a loneliness track in the non-championship race results in the 1963 Formula 1 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-00548",
"question": "On how many dates is the 1963 Formula One season at Silverstone circuits among non-championship race 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"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-00549",
"question": "How many constructors are listed for the non-championship racing results of the 1963 Formula One season in the BRDC International Trophy of Race XVI?",
"split": "train"
} |
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