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": [
"4x05"
],
"style": "rule"
} | {
"answer": [
"4x05"
],
"id": "wikisql-06247",
"question": "Under List of 8 of 10 cats, series 4, in which episode are Ulrika Jonsson and Michael Mcintyre on Sean's team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 November 2006"
],
"style": "rule"
} | {
"answer": [
"3 November 2006"
],
"id": "wikisql-06249",
"question": "List of 8 of 10 cats series 4 episodes, what was the original air date of episode 4x03?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 July 2007"
],
"style": "rule"
} | {
"answer": [
"6 July 2007"
],
"id": "wikisql-06250",
"question": "Under list of 8 out of 10 cats episodes, what is the first show for trisha goddard and glenn wool in series 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-06251",
"question": "Among 8 out of 10 episodes of the Cats series 5, what is the number of points for 5x06?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 February 2013"
],
"style": "rule"
} | {
"answer": [
"1 February 2013"
],
"id": "wikisql-06252",
"question": "From the list of 8 out of 10 Cats episodes, name the first show Tina Malone and Joe Wilkinson in series 15. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06253",
"question": "For 8 out of 10 cats episodes, give the number of jons teams for 15x10 series 15?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3–1"
],
"style": "rule"
} | {
"answer": [
"3–1"
],
"id": "wikisql-06254",
"question": "Name the scores for Chris Ramsey and Carol Vorderman under list of 8 of 10 cats episodes series 15?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06255",
"question": "In the list of 8 out of 10 cats episodes, give the jons team total for 15x07s series 15?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"John Bishop and Kelly Osbourne"
],
"style": "rule"
} | {
"answer": [
"John Bishop and Kelly Osbourne"
],
"id": "wikisql-06256",
"question": "Name all teams of jason that appeared in episode 6x02 in list of 8 of 10 series 6 cats 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-06257",
"question": "How many episodes did Vanessa Feltz and Lee Mack team up for Sean in Series 6 of the 8 of 10 Cats Episodes list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6x05"
],
"style": "rule"
} | {
"answer": [
"6x05"
],
"id": "wikisql-06258",
"question": "Name the episode(s) from List of 8 of 10 Cats episodes that starred Duncan James and Johnny Vegas as Jason's team in series 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": [
"7x04"
],
"style": "rule"
} | {
"answer": [
"7x04"
],
"id": "wikisql-06262",
"question": "Name the episode for Vic Reeves and Claudia Winkleman in the list of 8 out of 10 Cats episodes of series 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-06263",
"question": "From list of 8 out of 10 cats episodes, what number of scores for episode 7x05 of series 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": [
"Kayvan Novak and Louis Walsh"
],
"style": "rule"
} | {
"answer": [
"Kayvan Novak and Louis Walsh"
],
"id": "wikisql-06264",
"question": "What is the list of 8 out of 10 Cats episodes named Sean's team 13 Nov 2008 in series 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-06265",
"question": "For 8 out of 10 Cats episodes, name the total number of Seans teams that are 7x04 in Series 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-06266",
"question": "Under List of 8 of 10 Cat Episodes, give the total number of scores for 7x10 series 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-06267",
"question": "How many dates for the 2008 season does Galatasaray SK (Superleague Formula Team) have a total of 180 points for 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": [
"26"
],
"style": "rule"
} | {
"answer": [
"26"
],
"id": "wikisql-06268",
"question": "What is each race 1 point value if the total points for the race is 180 for Galatasaray SK (Superleague Formula Team) season 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"114"
],
"style": "rule"
} | {
"answer": [
"114"
],
"id": "wikisql-06269",
"question": "What is the lowest total race points for country Belgium for Galatasaray SK (Superleague Formula Team) season 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alessandro Pier Guidi"
],
"style": "rule"
} | {
"answer": [
"Alessandro Pier Guidi"
],
"id": "wikisql-06270",
"question": "Under Galatasaray SK (Superleague Formula Team), who is each driver for the 2008 Estoril Circuit 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-06271",
"question": "What is the highest SF round score for the country England under Galatasaray SK (Superleague Formula Team 2008 season)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-06308",
"question": "If the number of rebounds in the 2008-09 WNIT player statistics for the South Florida Bulls women's basketball team is 0, what is the maximum minutes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06309",
"question": "WNIT Player Stats: What is the point total for the 2008-09 South Florida Bulls women's basketball team when assists are 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": [
"Jessica Lawson"
],
"style": "rule"
} | {
"answer": [
"Jessica Lawson"
],
"id": "wikisql-06310",
"question": "If the field goals are 26, what are the player names in the 2008-09 South Florida Bulls women's basketball team WNIT player stats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06311",
"question": "If the player is Jasmine Wynne of the 2008-09 South Florida Bulls women's basketball team, what is the minimum steal count in the WNIT player stats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06312",
"question": "What is the total number of blocks if the points are 4 for the 2008-09 South Florida Bulls women's basketball team WNIT player stats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"57"
],
"style": "rule"
} | {
"answer": [
"57"
],
"id": "wikisql-06313",
"question": "How many steals did Jasmine Wynne have in player stats for the 2008-09 South Florida Bulls women's basketball team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"36"
],
"style": "rule"
} | {
"answer": [
"36"
],
"id": "wikisql-06314",
"question": "Player Stats How many games did Janae Stokes play on the 2008-09 South Florida Bulls women's basketball team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06315",
"question": "How many rebounds did Crystal Ayers have in player stats for the 2008-09 South Florida Bulls women's basketball team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Taiwan"
],
"style": "rule"
} | {
"answer": [
"Taiwan"
],
"id": "wikisql-06320",
"question": "Name the location for the Alien Huang movies in 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"27"
],
"style": "rule"
} | {
"answer": [
"27"
],
"id": "wikisql-06330",
"question": "What is the lowest finish for a 2 point driver in the 2011 World Rally Championship season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sébastien Loeb"
],
"style": "rule"
} | {
"answer": [
"Sébastien Loeb"
],
"id": "wikisql-06331",
"question": "Which driver(s) had over 65 deer wins in the 2011 World Rally Championship season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-06332",
"question": "What is the total number of Power Stage wins if the 2011 World Rally Championship Constructors get 10 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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-06333",
"question": "If it's 10 finishes, what is the POS minimum for the 2011 World Rally Championship Constructors 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": [
"34"
],
"style": "rule"
} | {
"answer": [
"34"
],
"id": "wikisql-06334",
"question": "What is the maximum number of finishes for the 2011 World Rally Championship constructors?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—— No Time"
],
"style": "rule"
} | {
"answer": [
"—— No Time"
],
"id": "wikisql-06380",
"question": "What time was set on Saturday 29th August by the rider who clocked 18.82 97.102mph on Tuesday 25th August 23' for the 2009 Manx Grand Prix 2009 Junior Classic Practice Times and Leaderboard?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—— No Time"
],
"style": "rule"
} | {
"answer": [
"—— No Time"
],
"id": "wikisql-06381",
"question": "What time was achieved on Saturday 29th August by the driver who clocked 24' 17.26 93.208mph under the practice times and standings of the 2009 Junior Classics of the Manx Grand Prix on Monday 24th August?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—— No Time"
],
"style": "rule"
} | {
"answer": [
"—— No Time"
],
"id": "wikisql-06382",
"question": "Considering the 2009 Junior Classic practice times and 2009 Manx Grand Prix standings, what time was achieved on Saturday 29th August by the driver who clocked 22' 54.20 98.842mph on Tuesday 25th August?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—— No Time"
],
"style": "rule"
} | {
"answer": [
"—— No Time"
],
"id": "wikisql-06383",
"question": "What time was achieved on Saturday 29th August in the 2009 Junior Classic Practice Times and Rankings by the driver who clocked 25' 01.89 90.438mph at the Manx Grand Prix on Friday 28th August?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Untimed Practice"
],
"style": "rule"
} | {
"answer": [
"Untimed Practice"
],
"id": "wikisql-06384",
"question": "What was the event on Wednesday 26th August at the Newcomer Race B Practice Times and Leaderboard Manx Grand Prix 2009 where Andrew Farrell rode a 400cc Kawasaki?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cancelled No Time"
],
"style": "rule"
} | {
"answer": [
"Cancelled No Time"
],
"id": "wikisql-06385",
"question": "What was the event on Thursday 27th August when Tuesday 25th August 23' 00.59 was 98.384 mph among the 2009 Newcomers Race B Training Times and Leaderboard of the 2009 Manx 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": [
"21` 53.78 103.387mph"
],
"style": "rule"
} | {
"answer": [
"21` 53.78 103.387mph"
],
"id": "wikisql-06386",
"question": "What was the time and speed on Tuesday 25th August when Monday 24th August was 22' 24.56 101.021mph under the 2009 Manx Grand Prix 2009 race B practice times and race B newcomer 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": [
"Michael Ellis 400cc Kawasaki"
],
"style": "rule"
} | {
"answer": [
"Michael Ellis 400cc Kawasaki"
],
"id": "wikisql-06387",
"question": "Who was the driver among the 2009 newcomer practice times in Race B and the 2009 Manx Grand Prix rankings when Friday 28th August 24' 23.36 was 92.820mph?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06407",
"question": "How many different dead enlisted numbers are there on the dates when the enlisted number was o/s 801471 for United States Army Air Forces in Growth personnel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24521"
],
"style": "rule"
} | {
"answer": [
"24521"
],
"id": "wikisql-06408",
"question": "How many dead officers were there on the day the dead recruit count was 329,640 among the United States Army Air Forces enlistment?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1941256"
],
"style": "rule"
} | {
"answer": [
"1941256"
],
"id": "wikisql-06409",
"question": "How many dead were in United States Army Air Forces manpower growth on the day the USAAF total was 2,329,534?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"96"
],
"style": "rule"
} | {
"answer": [
"96"
],
"id": "wikisql-06416",
"question": "Give the number of crews for the US Army Air Force Light Bombardment Group in the tactical organization?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"F-5"
],
"style": "rule"
} | {
"answer": [
"F-5"
],
"id": "wikisql-06417",
"question": "What is the aircraft for 21 crews of the United States Army Air Forces tactical organization?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1323"
],
"style": "rule"
} | {
"answer": [
"1323"
],
"id": "wikisql-06418",
"question": "Under the US Army Air Forces, Nam Ethe advocated the tactical organization of the Troop Carrier Group.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06554",
"question": "What is the total number of winning coaches if the top regular-season team (points) is the Kansas City Spurs (110 points) among the North American Soccer League (1968–84)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"New York Cosmos (4)"
],
"style": "rule"
} | {
"answer": [
"New York Cosmos (4)"
],
"id": "wikisql-06556",
"question": "If the runner-up is the Fort Lauderdale Strikers, what is the winner (number of titles) in the North American Soccer League (1968–84) per 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-06611",
"question": "What are the max wins when pole 2s are under Brett Bodine of the NASCAR Sprint Cup 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": [
"360"
],
"style": "rule"
} | {
"answer": [
"360"
],
"id": "wikisql-06615",
"question": "What is the smallest 08-09 GP/JGP 2nd value in 2008/09 ice dance season of figure skating if WS points equal 3197?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06616",
"question": "From the 2008-09 figure skating season list, how many of the 07-08 2008-09 oi best values are associated with 08-09 i/o best of exactly 202' ice dancing?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06617",
"question": "What is the smallest 07-09 or best value ice dancing in the 2008-09 figure skating 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": [
"262"
],
"style": "rule"
} | {
"answer": [
"262"
],
"id": "wikisql-06623",
"question": "What is the lowest 08-09 gp/jgp 2nd place if the 07-08 gp/jgp 223 is best among pairs of the 2008/09 figure skating 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-06624",
"question": "What is the least 08-09 i/o best among pairs of the 2008-09 figure skating 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-06625",
"question": "How many times was keauna mclaughlin / rockne brubaker listed among the figure skating pairs in the 2008/09 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": [
"Kerri Hanks Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Kerri Hanks Category:Articles with hCards"
],
"id": "wikisql-06634",
"question": "Who has the 1st goal from Saint Louis Athletica regular season stats list all-time and position is fw ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"DF"
],
"style": "rule"
} | {
"answer": [
"DF"
],
"id": "wikisql-06641",
"question": "what is the position of the player who hails from the united states and has 30 minutes under the stats for the all time saint louis athletica playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06642",
"question": "How many goals did any of the players in Saint Louis Athletica's all-time playoff stats 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": [
"Toshirō Kandagawa"
],
"style": "rule"
} | {
"answer": [
"Toshirō Kandagawa"
],
"id": "wikisql-06646",
"question": "The winner of Iron Chef is Hiroyuki Sakai among the 2000-2002 list episodes: Specials?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Takeshi Tanabe (田辺 猛)"
],
"style": "rule"
} | {
"answer": [
"Takeshi Tanabe (田辺 猛)"
],
"id": "wikisql-06647",
"question": "Who was the challenger when the winner was Kimio Nonaga among the List of Iron Chef episodes 2000 2002 specials?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rokusaburo Michiba"
],
"style": "rule"
} | {
"answer": [
"Rokusaburo Michiba"
],
"id": "wikisql-06648",
"question": "From the list of Iron Chef episodes, who was the winner for the original air date is January 5, 2000 and the challenger's specialty is French 2000–2002: Specials?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06649",
"question": "How many episodes did Yutaka Ishinabe as Iron Cook specializing in French cousins in List 1993 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": [
"Zhou Tomiteru ( 周 富輝 Shū Tomiteru ? )"
],
"style": "rule"
} | {
"answer": [
"Zhou Tomiteru ( 周 富輝 Shū Tomiteru ? )"
],
"id": "wikisql-06651",
"question": "Who was the challenger in Episode 5 of the 1993 Iron Chef Episode List?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-06652",
"question": "From the list of Iron Chef episodes, how many Iron Chefs were there when the challenge specialty was Japanese cuisine in 1993?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Single"
],
"style": "rule"
} | {
"answer": [
"Single"
],
"id": "wikisql-06759",
"question": "What is Stella Farentino's Current Relationship Status in TV Channel's List of Widows and Widowers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Candice Bergen"
],
"style": "rule"
} | {
"answer": [
"Candice Bergen"
],
"id": "wikisql-06764",
"question": "Name the film in the list of deceased spouses of widows and widowers, Louis Malle in 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": [
"Ingrid Bergman"
],
"style": "rule"
} | {
"answer": [
"Ingrid Bergman"
],
"id": "wikisql-06765",
"question": "Name deceased spouse for length of marriage 24 years for list of widows and widowers film ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dom DeLuise"
],
"style": "rule"
} | {
"answer": [
"Dom DeLuise"
],
"id": "wikisql-06766",
"question": "Name late spouse of Carol Deluise in list of widows and widowers film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Daughter ( Shannon ) 1 Son ( Brandon )"
],
"style": "rule"
} | {
"answer": [
"1 Daughter ( Shannon ) 1 Son ( Brandon )"
],
"id": "wikisql-06767",
"question": "Name common children for 9 years of marriage for list of widows and widowers movie?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alice Roosevelt"
],
"style": "rule"
} | {
"answer": [
"Alice Roosevelt"
],
"id": "wikisql-06768",
"question": "Who was the late spouse married 4 years among US President's widows and widowers list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2 Daughters ( Mary , unnamed) 1 Son ( Russell )"
],
"style": "rule"
} | {
"answer": [
"2 Daughters ( Mary , unnamed) 1 Son ( Russell )"
],
"id": "wikisql-06769",
"question": "Who Were Benjamin Harrison's Children Among US Presidents of Widows and Widowers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"December 15, 2009"
],
"style": "rule"
} | {
"answer": [
"December 15, 2009"
],
"id": "wikisql-06797",
"question": "List of Eastwick episodes, give original air date for 7 1-07 in UK. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"105000"
],
"style": "rule"
} | {
"answer": [
"105000"
],
"id": "wikisql-06798",
"question": "In the list of Eastwick episodes, report the total number of viewers seen among the pilot-branded viewers in the UK.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (Hallmark) #2 (Hallmark +1)"
],
"style": "rule"
} | {
"answer": [
"#3 (Hallmark) #2 (Hallmark +1)"
],
"id": "wikisql-06799",
"question": "In the list of Eastwick episodes, what is your rank on the channel mooning and crooning under the UK?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (Hallmark) #1 (Hallmark +1)"
],
"style": "rule"
} | {
"answer": [
"#2 (Hallmark) #1 (Hallmark +1)"
],
"id": "wikisql-06800",
"question": "Report the rank for Eastwick episodes on the channel for the UK pilot. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (15pts)"
],
"style": "rule"
} | {
"answer": [
"5 (15pts)"
],
"id": "wikisql-06834",
"question": "What is the position of the player who scored 6 (4 in 34.49 seconds) in the 6 Atlas Stones event under group 5 of World's Strongest Man 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": [
"Dave Ostlund"
],
"style": "rule"
} | {
"answer": [
"Dave Ostlund"
],
"id": "wikisql-06835",
"question": "Who are all United States players in Group 5 2009 World's Strongest Man?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06836",
"question": "What is the score in the 6 Atlas Stones event in Group 5 2009 World's Strongest Man of the player who scored 2 (6 in 30.89 seconds) in the 3 deadlift event?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (12pts)"
],
"style": "rule"
} | {
"answer": [
"6 (12pts)"
],
"id": "wikisql-06837",
"question": "What is the position of the player with a 5 (4 in 32.66 seconds) in the 2009 World's Strongest Man Group 5 in the 6 Atlas Stones event?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (46.28s)"
],
"style": "rule"
} | {
"answer": [
"3 (46.28s)"
],
"id": "wikisql-06838",
"question": "What is the 2 Truck Pull score of the player who scored 1 (5 in 33.84 seconds) in the 4 fingers of the 2009 World's Strongest Man's Group 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-06849",
"question": "Among the list of counties and boroughs of the Unreformed House of Commons circa 1800, name the most frequently disputed Welsh boroughs of Montgomeryshire?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Retained one seat"
],
"style": "rule"
} | {
"answer": [
"Retained one seat"
],
"id": "wikisql-06850",
"question": "Name the fate of Pembrokeshire in 1832 in the List of Counties and Boroughs of the Unreformed House of Commons in the Welsh Boroughs of 1800 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06965",
"question": "in the list of players of fc paris saint-germain, L, give the total number of the period for yvon le roux ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1973 – 1974"
],
"style": "rule"
} | {
"answer": [
"1973 – 1974"
],
"id": "wikisql-06966",
"question": "What is the period of time for Michel Llodra in the list of players of FC Paris Saint-Germain, L ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06967",
"question": "Give the position number of the Democratic Republic of the Congo for the list of players of Paris Saint-Germain FC, L ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06968",
"question": "from the list of players of fc paris saint-germain, M, how many names correspond to the value 101 for appearances ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Defender"
],
"style": "rule"
} | {
"answer": [
"Defender"
],
"id": "wikisql-06969",
"question": "Which positions in the list of Paris Saint-Germain FC players correspond to the name Thierry Morin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1984 – 1991"
],
"style": "rule"
} | {
"answer": [
"1984 – 1991"
],
"id": "wikisql-06970",
"question": "What period for the matches of the list for players of Paris Saint Germain FC had J appearances out of 219 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06971",
"question": "to the list of players of paris saint-germain fc, J how many periods had 15 goals ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"55"
],
"style": "rule"
} | {
"answer": [
"55"
],
"id": "wikisql-06972",
"question": "how often was pierre vermeulen in at least one game among the players of fc paris saint-germain,v ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"France"
],
"style": "rule"
} | {
"answer": [
"France"
],
"id": "wikisql-06973",
"question": "Which country is Richard Vanquelef from the list of Paris Saint-Germain FC 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": [
"Netherlands"
],
"style": "rule"
} | {
"answer": [
"Netherlands"
],
"id": "wikisql-06974",
"question": "from which country is pierre vermeulen on the list of players of fc paris saint-germain, V ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-06975",
"question": "In the list of players of Paris Saint-Germain FC, indicate the number of appearances for Yugoslavia ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"France"
],
"style": "rule"
} | {
"answer": [
"France"
],
"id": "wikisql-06976",
"question": "Name the nationality for defender 201 in the list of players of FC Paris Saint-Germain,S ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikisql-06978",
"question": "In the list of Paris Saint-Germain FC players, name the most goals for Algeria ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 - 2013"
],
"style": "rule"
} | {
"answer": [
"2004 - 2013"
],
"id": "wikisql-06985",
"question": "list of players of paris saint-germain fc, a, what period for appearances of 380 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"57"
],
"style": "rule"
} | {
"answer": [
"57"
],
"id": "wikisql-06986",
"question": "In the list of Paris Saint-Germain FC players, name the performances of Bernard Allou ?",
"split": "train"
} |
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