data_source stringclasses 1
value | agent_name stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|---|
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-63109",
"question": "From the 1954 World Fencing Championships list, what is the greatest number of gold medals won if Hungary has won 2 bronze medals and more than 7 gold medals in total?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"119.8"
],
"style": "rule"
} | {
"answer": [
"119.8"
],
"id": "wikisql-63111",
"question": "With a win of 1,380, what is the highest Avg/G among the 2004 Kansas State Wildcats football 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-63112",
"question": "When Thomas Clayton had a win of less than 71, what was the Kansas State Wildcats football team's highest long in 2004?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"04/08/2007"
],
"style": "rule"
} | {
"answer": [
"04/08/2007"
],
"id": "wikisql-63113",
"question": "On which date were Inter Milan's opponents in 2007/08 Aston Villa FC?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"DEEP - 5th Impact"
],
"style": "rule"
} | {
"answer": [
"DEEP - 5th Impact"
],
"id": "wikisql-63134",
"question": "At which event did Ryuki Ueyama fight Takaharu Murahama?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"TKO (kimura)"
],
"style": "rule"
} | {
"answer": [
"TKO (kimura)"
],
"id": "wikisql-63135",
"question": "When the match lasted 2:16, how was it decided that Ryuki Ueyama won?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-63136",
"question": "What is the lowest number of inhabitants (2011) for the municipality with an area of 12,241 km2 and a population density (inhabitants/km 2) less than 21.1 in the district municipality of Overberg?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-63137",
"question": "What is the area (in km2) in the Overberg District Municipality for theewaterskloof, whose population was less than 108,790 in 2011?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-63138",
"question": "What is the area in km2 of the Overberg District Municipality for Cape Agulhas whose density is greater than 9.4 inhabitants/km2 and whose population in 2011 was less than 33,038?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"15473"
],
"style": "rule"
} | {
"answer": [
"15473"
],
"id": "wikisql-63139",
"question": "If we look at the municipality of Overberg, what is the area in km2 for the municipality that had a population of more than 35,916 and a population density of less than 47.1 inhabitants/km 2 in 2011?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Orion"
],
"style": "rule"
} | {
"answer": [
"Orion"
],
"id": "wikisql-63146",
"question": "Which studio does a director of Oliver Stein have in the 1986 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": [
"Martin Scorsese"
],
"style": "rule"
} | {
"answer": [
"Martin Scorsese"
],
"id": "wikisql-63147",
"question": "Which film director of 1986 has rank 12?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"$40,996,665"
],
"style": "rule"
} | {
"answer": [
"$40,996,665"
],
"id": "wikisql-63148",
"question": "What size is a mgm studio under 1986 in the 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": [
"West"
],
"style": "rule"
} | {
"answer": [
"West"
],
"id": "wikisql-63150",
"question": "Which side does Vischer have as an inscription in the frieze of Parnassus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"VANBRUGH"
],
"style": "rule"
} | {
"answer": [
"VANBRUGH"
],
"id": "wikisql-63151",
"question": "What is the inscription with John Vanbrugh listed under Frieze of Parnassus as identification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"East"
],
"style": "rule"
} | {
"answer": [
"East"
],
"id": "wikisql-63152",
"question": "Which side does Orcagna have as an inscription for Fries of Parnassus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sculptors"
],
"style": "rule"
} | {
"answer": [
"Sculptors"
],
"id": "wikisql-63153",
"question": "What group does David D'Angers have as the official story for Frieze of Parnassus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"VIRGIL"
],
"style": "rule"
} | {
"answer": [
"VIRGIL"
],
"id": "wikisql-63154",
"question": "What is the name of the inscription in the Parnassus frieze that lists Virgil as an identification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"East"
],
"style": "rule"
} | {
"answer": [
"East"
],
"id": "wikisql-63155",
"question": "Which side did Ludovico Carracci list as the identification figure for Frieze of Parnassus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"+1:03.116"
],
"style": "rule"
} | {
"answer": [
"+1:03.116"
],
"id": "wikisql-63163",
"question": "What was the time/retirement for the car driven by Simone Grotzkyj at the Dutch TT 2006?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Aprilia"
],
"style": "rule"
} | {
"answer": [
"Aprilia"
],
"id": "wikisql-63164",
"question": "Who was the manufacturer of the car with a time/retirement of +0.122 in the 2006 Dutch TT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Honda"
],
"style": "rule"
} | {
"answer": [
"Honda"
],
"id": "wikisql-63165",
"question": "Which manufacturer is the car that Bradley Smith drove at the 2006 Dutch TT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mike Di Meglio"
],
"style": "rule"
} | {
"answer": [
"Mike Di Meglio"
],
"id": "wikisql-63166",
"question": "Who is the driver of the car that started in Grid 14, Dutch TT 2006?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mika Kallio"
],
"style": "rule"
} | {
"answer": [
"Mika Kallio"
],
"id": "wikisql-63167",
"question": "Who is the driver of the ktm manufactured car that started from grid 1 in the 2006 Dutch TT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"+0.122"
],
"style": "rule"
} | {
"answer": [
"+0.122"
],
"id": "wikisql-63168",
"question": "What was the time/retirement of the car that started in grid 4 of the 2006 Dutch TT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Fort Worth"
],
"style": "rule"
} | {
"answer": [
"Fort Worth"
],
"id": "wikisql-63194",
"question": "In which Jelena Pandžić tournament was Lauren Embree opponent?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6–3, 4–1, RET"
],
"style": "rule"
} | {
"answer": [
"6–3, 4–1, RET"
],
"id": "wikisql-63195",
"question": "What was the score on 08/19/2012 for Jelena Pandžić?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Winner"
],
"style": "rule"
} | {
"answer": [
"Winner"
],
"id": "wikisql-63196",
"question": "How did the game end for Jelena Pandžić on July 1st, 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": [
"Eduardo Dantas"
],
"style": "rule"
} | {
"answer": [
"Eduardo Dantas"
],
"id": "wikisql-63219",
"question": "Who did Wilson Reis fight who lasted less than 3 rounds with a time of 1:02?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"World Championships"
],
"style": "rule"
} | {
"answer": [
"World Championships"
],
"id": "wikisql-63220",
"question": "Which competition has a time of 3:50.65 among the list of Venezuelan swimming 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": [
"2:15.22"
],
"style": "rule"
} | {
"answer": [
"2:15.22"
],
"id": "wikisql-63221",
"question": "What is the time of a 200m butterfly event on the list of Venezuelan swimming 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": [
"World Cup"
],
"style": "rule"
} | {
"answer": [
"World Cup"
],
"id": "wikisql-63222",
"question": "Which meeting has a club from the Centro de Natacon Carabobo on the list of Venezuelan swimming 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": [
"Dubai , United Arab Emirates"
],
"style": "rule"
} | {
"answer": [
"Dubai , United Arab Emirates"
],
"id": "wikisql-63223",
"question": "Which place in the list of Venezuelan swimming records has a time of 4:13.48?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18 December 2010"
],
"style": "rule"
} | {
"answer": [
"18 December 2010"
],
"id": "wikisql-63224",
"question": "Which date has a time of 1:00.59 in the list of Venezuelan swimming 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": [
"Barquisimeto , Venezuela"
],
"style": "rule"
} | {
"answer": [
"Barquisimeto , Venezuela"
],
"id": "wikisql-63225",
"question": "Which place has a Club of Delfines Ucv among Venezuelan records in swimming?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gottfried von Cramm"
],
"style": "rule"
} | {
"answer": [
"Gottfried von Cramm"
],
"id": "wikisql-63226",
"question": "In the list of LGBT athletes, which name has the annotations b and the tennis game?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"b. 1989"
],
"style": "rule"
} | {
"answer": [
"b. 1989"
],
"id": "wikisql-63227",
"question": "What is Alan Gendreau's life on the LGBT athletes 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": [
"December 7, 1997"
],
"style": "rule"
} | {
"answer": [
"December 7, 1997"
],
"id": "wikisql-63230",
"question": "What date has a week greater than 5 and an attendance of 54,803 for the 1997 New Orleans Saints 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": [
"October 26, 1997"
],
"style": "rule"
} | {
"answer": [
"October 26, 1997"
],
"id": "wikisql-63231",
"question": "What date has a week less than 14 and a San Francisco 49ers opponent in the 1997 New Orleans Saints 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": [
"Atlanta Falcons"
],
"style": "rule"
} | {
"answer": [
"Atlanta Falcons"
],
"id": "wikisql-63232",
"question": "Which opponent of the 1997 New Orleans Saints season has a week under 15 and a score of 23-17?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bye"
],
"style": "rule"
} | {
"answer": [
"Bye"
],
"id": "wikisql-63233",
"question": "What date of the 1997 New Orleans Saints season has an opponent from Bye?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 21, 1997"
],
"style": "rule"
} | {
"answer": [
"December 21, 1997"
],
"id": "wikisql-63234",
"question": "What date has a score of l 25-13 in the 1997 New Orleans Saints 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": [
"6000"
],
"style": "rule"
} | {
"answer": [
"6000"
],
"id": "wikisql-63235",
"question": "What is the total population with a population density (per km²) of 24.8 in North America ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-63236",
"question": "What is the average area of North America in Canada with a population density (per km²) greater than 3.4 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nuuk ( Godthåb )"
],
"style": "rule"
} | {
"answer": [
"Nuuk ( Godthåb )"
],
"id": "wikisql-63237",
"question": "Which capital city in North America has an area of 2166086 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-63238",
"question": "What is the highest population density for a population less than 6000 in North America?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-63239",
"question": "What is the lowest population with a population density (per km²) greater than 1203.7 in North America?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5-5-1"
],
"style": "rule"
} | {
"answer": [
"5-5-1"
],
"id": "wikisql-63245",
"question": "What was Diego Saraiva's record when he fought Danny Suarez for 3 rounds?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"UFC 73"
],
"style": "rule"
} | {
"answer": [
"UFC 73"
],
"id": "wikisql-63246",
"question": "In which event did Diego Saraiva fight Jorge Gurgel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0:56"
],
"style": "rule"
} | {
"answer": [
"0:56"
],
"id": "wikisql-63248",
"question": "What was the time when Jon Murphy's (fighter) method was TKO?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-63249",
"question": "How many rounds was the fight when the record was 4-0 for Jon Murphy (fighter)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Cline"
],
"style": "rule"
} | {
"answer": [
"Carlos Cline"
],
"id": "wikisql-63250",
"question": "Who is the opponent when the round for Jon Murphy (fighter) was more than 2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1–0"
],
"style": "rule"
} | {
"answer": [
"1–0"
],
"id": "wikisql-63253",
"question": "What is the record with the opponent as Carlton Jones for Shane Carwin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.05"
],
"style": "rule"
} | {
"answer": [
"0.05"
],
"id": "wikisql-63254",
"question": "What is the percentage of votes received by the Family Rights Party in the Gallagher Index?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-63255",
"question": "What is the percentage of seats where the difference is 0.25 for the Gallagher Index?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2.48"
],
"style": "rule"
} | {
"answer": [
"2.48"
],
"id": "wikisql-63256",
"question": "What is the percentage of seats where the Gallagher Index difference is 0.19?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"TKO (cut)"
],
"style": "rule"
} | {
"answer": [
"TKO (cut)"
],
"id": "wikisql-63264",
"question": "What is Method when Event for Steve Berger is \"Reality Submission Fighting 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": [
"คำสามคำ"
],
"style": "rule"
} | {
"answer": [
"คำสามคำ"
],
"id": "wikisql-63271",
"question": "What is the title of All You Need Is Love (Nat Sakdatorn album) if the composer(s) is Sakdatorn and the arranger(s) is Jitrakorn Mongkoltham?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"คนมีความรัก"
],
"style": "rule"
} | {
"answer": [
"คนมีความรัก"
],
"id": "wikisql-63272",
"question": "What is the title if the lyricist(s) is Yarosake and if the composer(s) is Yarosake on All You Need Is Love (Nat Sakdatorn Album)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3:53"
],
"style": "rule"
} | {
"answer": [
"3:53"
],
"id": "wikisql-63273",
"question": "What is the length if the track is \"The Way To Your Heart\" on \"All You Need Is Love\" (Nat Sakdatorn album)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4:38"
],
"style": "rule"
} | {
"answer": [
"4:38"
],
"id": "wikisql-63274",
"question": "What is the length if the composer is Sakdatorn and if the arranger is Jitrakorn Mongkoltham for All You Need Is Love (Nat Sakdatorn album)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yarosake"
],
"style": "rule"
} | {
"answer": [
"Yarosake"
],
"id": "wikisql-63275",
"question": "All You Need Is Love from the album Nat Sakdatorn, who is the composer(s), when is the arranger(s) Banana Boat and when the length is 4:25?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yarosake"
],
"style": "rule"
} | {
"answer": [
"Yarosake"
],
"id": "wikisql-63276",
"question": "All You Need Is Love from the album Nat Sakdatorn, who is the composer(s), when is the arranger(s) Banana Boat and when the length is 4:25?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Krisily Kennedy"
],
"style": "rule"
} | {
"answer": [
"Krisily Kennedy"
],
"id": "wikisql-63282",
"question": "Who was the runner-up to winner Sarah Brice for The Bachelor (US TV 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": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikisql-63283",
"question": "What season did Bachelor Byron Velvick have on the US TV series The Bachelor?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14"
],
"style": "rule"
} | {
"answer": [
"14"
],
"id": "wikisql-63284",
"question": "In which season of the US TV series The Bachelor was Tenley Molzahn second?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Trista Rehn"
],
"style": "rule"
} | {
"answer": [
"Trista Rehn"
],
"id": "wikisql-63285",
"question": "From The Bachelor (US TV Series) list, who was the runner up for the show which premiered March 25, 2002?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lori McNeil Helena Suková"
],
"style": "rule"
} | {
"answer": [
"Lori McNeil Helena Suková"
],
"id": "wikisql-63290",
"question": "Who were the semi-finalists for the 1992 WTA Tier I Series tournament in Montreal?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Arantxa Sánchez"
],
"style": "rule"
} | {
"answer": [
"Arantxa Sánchez"
],
"id": "wikisql-63291",
"question": "Who was among the WTA Tier I Series 1992 finalists for the tournament in Berlin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Clay"
],
"style": "rule"
} | {
"answer": [
"Clay"
],
"id": "wikisql-63292",
"question": "What type of rubber was used at the Berlin 1992 WTA Tier I Series tournament?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Montreal"
],
"style": "rule"
} | {
"answer": [
"Montreal"
],
"id": "wikisql-63293",
"question": "Where was the 1992 WTA Tier I Series tournament where Monica Seles was the finalist playing on a hard surface?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0–3"
],
"style": "rule"
} | {
"answer": [
"0–3"
],
"id": "wikisql-63308",
"question": "What was the total score if the score for Set 3 of 1999 Asian Men's Volleyball Championship is 21–25?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"15–25"
],
"style": "rule"
} | {
"answer": [
"15–25"
],
"id": "wikisql-63309",
"question": "What is the result of set 1 at the 1999 Asian Men's Volleyball Championship if the total score is 85-101?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"02 Sep"
],
"style": "rule"
} | {
"answer": [
"02 Sep"
],
"id": "wikisql-63310",
"question": "On what date was the result for set 3 22-25 for the 1999 Asian Men's Volleyball 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": [
"3–1"
],
"style": "rule"
} | {
"answer": [
"3–1"
],
"id": "wikisql-63311",
"question": "What is the 1999 Asian Men's Volleyball Championship total score if the set 2 score is 25–18?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25–23"
],
"style": "rule"
} | {
"answer": [
"25–23"
],
"id": "wikisql-63312",
"question": "What is the set 1 score if the set 3 score for the 1999 Asian Men's Volleyball Championship is 22-25?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2005"
],
"style": "rule"
} | {
"answer": [
"2005"
],
"id": "wikisql-63319",
"question": "In which year did Luxembourg host the Small Country Division European Volleyball Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Scotland"
],
"style": "rule"
} | {
"answer": [
"Scotland"
],
"id": "wikisql-63320",
"question": "If Iceland takes silver, who will take bronze at the Small Country Division Volleyball European Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-63328",
"question": "How many goals were scored for Brampton Battalion when percentage was less than .519 and points greater than 65?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-63329",
"question": "How many games have been recorded with goals for the #215 under Brampton Battalion?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Azadi Stadium , Tehran"
],
"style": "rule"
} | {
"answer": [
"Azadi Stadium , Tehran"
],
"id": "wikisql-63333",
"question": "What was the venue when the score was 3-2 for Gholamreza Rezaei?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2014 WCQ"
],
"style": "rule"
} | {
"answer": [
"2014 WCQ"
],
"id": "wikisql-63334",
"question": "Which competition had a score of 3-0 and a score of 4-1 for Gholamreza Rezaei ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3.0%"
],
"style": "rule"
} | {
"answer": [
"3.0%"
],
"id": "wikisql-63341",
"question": "What is the France with under 18s in sub-Saharan Africa?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.6%"
],
"style": "rule"
} | {
"answer": [
"0.6%"
],
"id": "wikisql-63342",
"question": "What is Paris with a France share of 1.4% among the Île-de-France?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3.1%"
],
"style": "rule"
} | {
"answer": [
"3.1%"
],
"id": "wikisql-63343",
"question": "WHAT IS THE VAL-D-OISE WITH A FRANCE OF 1.4% IN THE ÎLE-DE-FRANCE?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.2%"
],
"style": "rule"
} | {
"answer": [
"1.2%"
],
"id": "wikisql-63344",
"question": "What is the Val-de-marne in Île-de-France with a Seine-Saint-Denis of 2.7%?",
"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": [
"22.0%"
],
"style": "rule"
} | {
"answer": [
"22.0%"
],
"id": "wikisql-63345",
"question": "WHAT IS A SEINE-SAINT-DENIS WITH A PARIS OF 12.1% IN Île-de-France?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5.5%"
],
"style": "rule"
} | {
"answer": [
"5.5%"
],
"id": "wikisql-63346",
"question": "What is Val-de-Marne WITH Seine-Saint-Denis of 4.0% in Île-de-France?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Liberal"
],
"style": "rule"
} | {
"answer": [
"Liberal"
],
"id": "wikisql-63351",
"question": "What party did Australian House of Representatives 1963-1966 Peter Howson belong to?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cunningham"
],
"style": "rule"
} | {
"answer": [
"Cunningham"
],
"id": "wikisql-63352",
"question": "Who was the electorate of the members of the Australian House of Representatives, 1963-1966, when the member was Rex Connor?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1960–1969"
],
"style": "rule"
} | {
"answer": [
"1960–1969"
],
"id": "wikisql-63353",
"question": "What was Noel Beaton's tenure in 1963–1966 Members of the Australian House of Representatives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1961–1966"
],
"style": "rule"
} | {
"answer": [
"1961–1966"
],
"id": "wikisql-63354",
"question": "Among the members of the Australian House of Representatives, 1963–1966, what was the tenure of the electorate's warringah?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Massachusetts"
],
"style": "rule"
} | {
"answer": [
"Massachusetts"
],
"id": "wikisql-63357",
"question": "In which state is Dan Wesson Firearms located?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 April 1994"
],
"style": "rule"
} | {
"answer": [
"26 April 1994"
],
"id": "wikisql-63362",
"question": "When did the consort who had Talal i as wife died among the list of Jordanian consorts?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Abdullah II"
],
"style": "rule"
} | {
"answer": [
"Abdullah II"
],
"id": "wikisql-63363",
"question": "From the list of Jordanian consorts, who was the spouse of the consort where he/she was born Rania al Yassin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Andre Agassi Greg Rusedski"
],
"style": "rule"
} | {
"answer": [
"Andre Agassi Greg Rusedski"
],
"id": "wikisql-63374",
"question": "What are the semi-finalists among the 1999 ATP Super 9 when the surface is hard (i)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Clay"
],
"style": "rule"
} | {
"answer": [
"Clay"
],
"id": "wikisql-63375",
"question": "What is the finish of 1999 ATP Super 9 if the winner and the result is Gustav Kuerten 6-4, 7-5, 7-6 (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": [
"Pete Sampras 7-6(7), 6-3"
],
"style": "rule"
} | {
"answer": [
"Pete Sampras 7-6(7), 6-3"
],
"id": "wikisql-63376",
"question": "Who is the winner and scores among the ATP Super 9 1999 in the week of August 9th?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard (i)"
],
"style": "rule"
} | {
"answer": [
"Hard (i)"
],
"id": "wikisql-63377",
"question": "What is the finish for the week of October 25, 1999 ATP Super 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": [
"Richard Krajicek 4-6, 6-1, 6-2, 7-5"
],
"style": "rule"
} | {
"answer": [
"Richard Krajicek 4-6, 6-1, 6-2, 7-5"
],
"id": "wikisql-63378",
"question": "Who is the winner and scorer for finalist Sébastien Grosjean in the 1999 ATP Super 9?",
"split": "train"
} |
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