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-40152",
"question": "Considering the 2008 women's British Open where the Cut Total won a finish of t64 and a year greater than 2006?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2004.0"
],
"style": "rule"
} | {
"answer": [
"2004.0"
],
"id": "wikisql-40153",
"question": "Which year did a finish of t24 and a country won by England for the 2008 British Open Women?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2011"
],
"style": "rule"
} | {
"answer": [
"2011"
],
"id": "wikisql-40164",
"question": "What was the highest year for the Bethesda Game Studios developer among the Giant Bomb awards for Game of the 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": [
"2011"
],
"style": "rule"
} | {
"answer": [
"2011"
],
"id": "wikisql-40165",
"question": "From a list of awards for game of the year called Giant Bomb, what is the lowest year for the game called The Elder Scrolls v: Skyrim?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Third-person shooter"
],
"style": "rule"
} | {
"answer": [
"Third-person shooter"
],
"id": "wikisql-40166",
"question": "Which game was developed by Naughty Dog and is one of the Game of the Year Awards Giant Bomb?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"H"
],
"style": "rule"
} | {
"answer": [
"H"
],
"id": "wikisql-40176",
"question": "Where was a 0-5 game played by Sheffield Wednesday FC in Football League First Division in 2000/01 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40177",
"question": "What is the average rank of a player with fewer than 3 games in the 1975 All-Ireland Senior Hurling 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": [
"16 (9)"
],
"style": "rule"
} | {
"answer": [
"16 (9)"
],
"id": "wikisql-40193",
"question": "How many games has Leandro Love among Melbourne Victory records and 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40194",
"question": "What is the lowest number of goals Melbourne Victory's Joe Keenan, who has 1+ assists, had in the all-time record 2007/08?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40195",
"question": "What is the lowest number of goals scored by the player with 9(0) games and under 0 assists in Melbourne Victories all-time records and 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": [
"6 (0)"
],
"style": "rule"
} | {
"answer": [
"6 (0)"
],
"id": "wikisql-40196",
"question": "How many finals have had more than 0 goals and 8 assists for Melbourne Victory all-time records and 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40197",
"question": "If nationality is United States, time is 58.06 and heat is greater than 5 under Swimming at the 2008 Summer Olympics - Women's 100m Butterfly, what is the lowest rank?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"38"
],
"style": "rule"
} | {
"answer": [
"38"
],
"id": "wikisql-40198",
"question": "In Swimming at the 2008 Summer Olympics - Women's 100m Butterfly, what is the highest rank if the lane is greater than 6, the heat is 3 and the nationality is Colombian?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40199",
"question": "What is the total distance for a heat greater than 7 for swimming at the 2008 Summer Olympics - Women's 100m Butterfly?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40200",
"question": "What is the highest heat for swimming at the 2008 Summer Olympics - Women's 100m Butterfly if the nationality is Poland and the lane is less than 6?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40201",
"question": "What lead spacing/mm has a body width/mm greater than 10.16 for the thin small outline package Type II?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40202",
"question": "What is type II small outline thin case, how much body width/mm has a part number of tsop40/44 and body length/mm less than 18.42?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.27"
],
"style": "rule"
} | {
"answer": [
"1.27"
],
"id": "wikisql-40203",
"question": "What is the lead spacing/mm of the part number tsop24/28 among the small outline Type II thin packages?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"45.11"
],
"style": "rule"
} | {
"answer": [
"45.11"
],
"id": "wikisql-40205",
"question": "In Athletics at the 2008 Summer Olympics - Men's 400 Meters, Final, What is the athlete's time with a reaction time of 0.164?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40206",
"question": "What is the athlete's time on lane 4 for the Athletics at the 2008 Summer Olympics - Men's 400 Meters Final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40207",
"question": "What is the track of the athlete from Great Britain with a reaction time under 0.218 and a time over 44.74 for Athletics at the 2008 Summer Olympics - Men's 400m Final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"FOX"
],
"style": "rule"
} | {
"answer": [
"FOX"
],
"id": "wikisql-40215",
"question": "Which broadcaster has an opponent for the 2002 New York Giants Washington Redskins 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": [
"78748"
],
"style": "rule"
} | {
"answer": [
"78748"
],
"id": "wikisql-40216",
"question": "Which visit in the 2002 New York Giants schedule has a channel from espn and a date of September 5, 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": [
"November 10, 2002"
],
"style": "rule"
} | {
"answer": [
"November 10, 2002"
],
"id": "wikisql-40217",
"question": "What date has a score of w 27–20 for the 2002 New York Giants season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-40218",
"question": "Which week of the 2002 New York Giants schedule has 63,447 viewers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"September 22, 2002"
],
"style": "rule"
} | {
"answer": [
"September 22, 2002"
],
"id": "wikisql-40219",
"question": "What date for the 2002 New York Giants season has a Stadium of Giants Stadium and a week less than 13 and a Seattle Seahawks 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-40222",
"question": "What is the total number of Whites (Hispanic/non-Hispanic) with a Black (Hispanic/non-Hispanic) of 9.9 and Hispanic under 99.5 among the communities of Puerto Rico's racial makeup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40223",
"question": "What is the average Black (Hispanic/Non-Hispanic) with a White (Hispanic/Non-Hispanic) under 61.9, Multiracial (Hispanic/Non-Hispanic) under 12.5 and Hispanic under 99.4 among Puerto's communities Rico's racial composition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40224",
"question": "What is the highest Native American (Hispanic/non-Hispanic) score with a Black (Hispanic/non-Hispanic) score of 15.7 and a White (Hispanic/non-Hispanic) score of over 69.5 in Puerto Rico's communities race composition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11.5"
],
"style": "rule"
} | {
"answer": [
"11.5"
],
"id": "wikisql-40225",
"question": "What is the Blackness (Hispanic/non-Hispanic) of racial composition with White (Hispanic/non-Hispanic) below 80.6, Asian (Hispanic/non-Hispanic) below 0.1, Native American (Hispanic/non-Hispanic) below 0.60000000000000001 and Municipality of Vega B... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1–1"
],
"style": "rule"
} | {
"answer": [
"1–1"
],
"id": "wikisql-40246",
"question": "What is the score of tie number 11 in fourth round Proper FA Cup 1977-78?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-40247",
"question": "What is the tie when the away team was Mansfield Town in the 1977/78 FA Cup fourth round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6 February 1978"
],
"style": "rule"
} | {
"answer": [
"6 February 1978"
],
"id": "wikisql-40248",
"question": "On what date was Newcastle United the away team for the fourth round proper of the 1977/78 FA Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Notts County"
],
"style": "rule"
} | {
"answer": [
"Notts County"
],
"id": "wikisql-40249",
"question": "What was the away side when Brighton & Hove Albion were home to the FA Cup fourth round in 1977-78?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13"
],
"style": "rule"
} | {
"answer": [
"13"
],
"id": "wikisql-40250",
"question": "What is Chelsea's fourth round tie in 1977-78 when they were home from the FA Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40251",
"question": "What was the result when Orient was at home in the 1977-78 FA Cup fourth round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Brenda Bent"
],
"style": "rule"
} | {
"answer": [
"Brenda Bent"
],
"id": "wikisql-40252",
"question": "Which designer has a restaurant called The Citizen in Restaurant Makeover Season 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": [
"N/A"
],
"style": "rule"
} | {
"answer": [
"N/A"
],
"id": "wikisql-40253",
"question": "What is the original name of designer Glen Peloso's place with a location of n/a, Restaurant Makeover's Season 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": [
"The Citizen"
],
"style": "rule"
} | {
"answer": [
"The Citizen"
],
"id": "wikisql-40255",
"question": "What is the name of the restaurant underneath the makeover restaurant originally called Essence's Season 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": [
"93"
],
"style": "rule"
} | {
"answer": [
"93"
],
"id": "wikisql-40265",
"question": "Name a director's production number by Friz Freleng and a title by Wacky Worm taken from the 1941 filmography of Looney Tunes and Merrie Melodies (1940–49). ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"MM"
],
"style": "rule"
} | {
"answer": [
"MM"
],
"id": "wikisql-40266",
"question": "Name the series with production number 95, br 1254 among the Looney Tunes and Merrie Melodies (1940–49) filmographies of 1941?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"No"
],
"id": "wikisql-40267",
"question": "Which reissue of the 1941 filmography of Looney Tunes and Merrie Melodies (1940–49) has the production number 9853?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"MM"
],
"style": "rule"
} | {
"answer": [
"MM"
],
"id": "wikisql-40268",
"question": "Name the title of Elmer's pet rabbit series of Looney Tunes and Merrie Melodies filmography (1940–49) and a year 1941. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40281",
"question": "What is Lisbeth Trickett's swim time at the 2008 Summer Olympics - Women's 100m Butterfly Semi-Final 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40282",
"question": "From the list of 2008 Summer Olympics in Swimming - Semifinals of Women's 1 - 100m Butterfly, what is the average ranking of 57.05 times?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40283",
"question": "Which track is from Great Britain and has a time of 57.78 in swimming at the 2008 Summer Olympics - Women's 100m Butterfly Semi-Final 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Royal Thai Army"
],
"style": "rule"
} | {
"answer": [
"Royal Thai Army"
],
"id": "wikisql-40284",
"question": "Who is the owner of Sanam Pao as analogue terrestrial TV broadcasting area in Thailand?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BEC-TERO"
],
"style": "rule"
} | {
"answer": [
"BEC-TERO"
],
"id": "wikisql-40285",
"question": "Who is the owner of channel 3/32 (vhf/uhf) broadcasting 24/7 on Thailand analog terrestrial television?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Government and Public"
],
"style": "rule"
} | {
"answer": [
"Government and Public"
],
"id": "wikisql-40286",
"question": "Who is the owner of Thai PBS among Analogue Terrestrial TV Stations in Thailand?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bangkok Broadcasting and TV Co., Ltd."
],
"style": "rule"
} | {
"answer": [
"Bangkok Broadcasting and TV Co., Ltd."
],
"id": "wikisql-40287",
"question": "What is the network of BBTV Channel 7 Thailand's analogue terrestrial television?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Thai PBS"
],
"style": "rule"
} | {
"answer": [
"Thai PBS"
],
"id": "wikisql-40288",
"question": "What is channel 29 (UHF) called in analogue terrestrial television in Thailand?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24-hours"
],
"style": "rule"
} | {
"answer": [
"24-hours"
],
"id": "wikisql-40289",
"question": "What time on analog terrestrial television in Thailand, what are the NBT broadcast times?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Val Skinner"
],
"style": "rule"
} | {
"answer": [
"Val Skinner"
],
"id": "wikisql-40290",
"question": "Who was the LPGA Tour wins (13) runners-up in the May 26, 1996 tournament for Rosie Jones?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"LPGA Corning Classic"
],
"style": "rule"
} | {
"answer": [
"LPGA Corning Classic"
],
"id": "wikisql-40291",
"question": "Which tournament among LPGA Tour wins 13 had a runner-up from Val Skinner to Rosie Jones?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"–12 (66-67-68-67=268)"
],
"style": "rule"
} | {
"answer": [
"–12 (66-67-68-67=268)"
],
"id": "wikisql-40292",
"question": "What was Rosie Jones' winning score on April 29, 2001 in the LPGA Tour's 13 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": [
"1947-04-12"
],
"style": "rule"
} | {
"answer": [
"1947-04-12"
],
"id": "wikisql-40293",
"question": "What was the release date of the feature film with production number 1018, BR 1352 in the Looney Tunes and Merrie Melodies (1940–49) filmography 1947?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"No"
],
"id": "wikisql-40294",
"question": "What is the reissue value for the 1947 feature film titled Catch as Cats Can from the Looney Tunes and Merrie Melodies (1940-49) filmography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N52B30"
],
"style": "rule"
} | {
"answer": [
"N52B30"
],
"id": "wikisql-40300",
"question": "Is the engine code for 2007 BMW X1 Xdrive25i of the engine type Gasoline Engines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N·m (lb·ft)@1300-5000"
],
"style": "rule"
} | {
"answer": [
"N·m (lb·ft)@1300-5000"
],
"id": "wikisql-40301",
"question": "What is the torque of the PS (kw; ps)@5800 model among BMW X1 petrol engines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N·m (lb·ft)@3600"
],
"style": "rule"
} | {
"answer": [
"N·m (lb·ft)@3600"
],
"id": "wikisql-40302",
"question": "What is the torque if the engine code is N46B20 and the power is ps (kw; hp)@6400 for BMW X1 petrol engines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"PS (kW; hp)@5000-6500"
],
"style": "rule"
} | {
"answer": [
"PS (kW; hp)@5000-6500"
],
"id": "wikisql-40303",
"question": "What is the performance of the BMW X1 model xdrive28i sdrive28i among petrol engines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"xDrive28i sDrive28i"
],
"style": "rule"
} | {
"answer": [
"xDrive28i sDrive28i"
],
"id": "wikisql-40304",
"question": "What is the model made in 2011 2012 for the BMW X1 petrol engines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N55B30"
],
"style": "rule"
} | {
"answer": [
"N55B30"
],
"id": "wikisql-40305",
"question": "What is the engine code for BMW X1 petrol engines under model xdrive35i?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11"
],
"style": "rule"
} | {
"answer": [
"11"
],
"id": "wikisql-40311",
"question": "What episodes of Japanese TV dramas featured the Spring 2006 series Kurosagi on TBS?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Oishii Propose"
],
"style": "rule"
} | {
"answer": [
"Oishii Propose"
],
"id": "wikisql-40312",
"question": "What is the Romanji title of a TBS show less than 11 episodes in the Spring 2006 season of Japanese television dramas?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40313",
"question": "What is the total episode count of 2006 Japanese TV dramas in the 2006 spring season of クロサギ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11.2%"
],
"style": "rule"
} | {
"answer": [
"11.2%"
],
"id": "wikisql-40314",
"question": "What are the average ratings for プリマダム among Japanese TV dramas of the Spring 2006 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40324",
"question": "What is the A Score for Gymnastics at the 2008 Summer Olympics - Women's Artistic Qualification on Uneven Bars EF Qualification of the person with a total score less than 15.95, a position less than 7 and a B score greater than 8.225 ?",
"split":... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40325",
"question": "What is the B-score for the person with a total of 16.325 and an A-score greater than 7.3 for Gymnastics at the 2008 Summer Olympics - Women's Artistic Qualification on Uneven Bars EF ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40326",
"question": "What is the position of the person with a total score of less than 16.65 and an A score of 7.4 in Gymnastics at the 2008 Summer Olympics - Women's Artistic Qualification among the EF Uneven Bars Qualifiers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40337",
"question": "Which rounds of the 2008 Brno Superbike World Championship round of the Supersport racing classification have a Russell Holland rider and a grid smaller than 10?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18"
],
"style": "rule"
} | {
"answer": [
"18"
],
"id": "wikisql-40338",
"question": "What laps does a Kawasaki ZX-6r motorcycle and a time of +26.891 in the Supersport race classification of the Brno Superbike World Championship 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": [
"Robbin Harms",
"Gregory Leblanc",
"William de Angelis",
"Santiago Barragan"
],
"style": "rule"
} | {
"answer": [
"Robbin Harms",
"Gregory Leblanc",
"William de Angelis",
"Santiago Barragan"
],
"id": "wikisql-40339",
"question": "In which round of the 2008 Brno World Superbike Championship does a rider in the 2008 Supersport racing classification have a retirement time and a starting grid grea... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jesco Gunther"
],
"style": "rule"
} | {
"answer": [
"Jesco Gunther"
],
"id": "wikisql-40340",
"question": "Which rider has less than 18 laps and a starting grid of 24 in the 2008 Brno Superbike World Championship in the Supersport race classification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9 October 1991"
],
"style": "rule"
} | {
"answer": [
"9 October 1991"
],
"id": "wikisql-40341",
"question": "What is the date of Portsmouth FC's League Cup 2nd Round second leg of the 1991/92 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": [
"1st Round 1st Leg"
],
"style": "rule"
} | {
"answer": [
"1st Round 1st Leg"
],
"id": "wikisql-40342",
"question": "What is the round against Gillingham an equivalent of less than 3 in Portsmouth FC League Cup 1991–92 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40343",
"question": "What is the draw that played less than 36 and has 42 points in the ANAPROF 2004 relegation table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40344",
"question": "What lost who has less than 10 points and less than 38 goals scored in the ANAPROF 2004 Relegation Table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40345",
"question": "What was the biggest defeat for Alianza with a draw less than 6 in the ANAPROF 2004 relegation table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40346",
"question": "What does losing less than 3rd place and scoring more than 63 goals mean in the ANAPROF 2004 relegation table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40351",
"question": "What is the overall rank for ümit karan from Turkish Cup all-time top scorers list if apps is more than 39 and rate is more than 0.58?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40352",
"question": "Looking at Turkish Cup if ranking above 10, what is the overall top scorer of all time?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rs. 1,00,000"
],
"style": "rule"
} | {
"answer": [
"Rs. 1,00,000"
],
"id": "wikisql-40353",
"question": "What is the winning amount of Himesh Reshammiya as contestant name in Season 2 of 10 Ka Dum?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"May 30"
],
"style": "rule"
} | {
"answer": [
"May 30"
],
"id": "wikisql-40355",
"question": "What date (2009) did Kareena Kapoor premiere as a contestant name in Season 2 of 10 Ka Dum?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18"
],
"style": "rule"
} | {
"answer": [
"18"
],
"id": "wikisql-40356",
"question": "In which episode # are Govinda & David Dhawan the eliminated contestants for Season 2 of 10 Ka Dum?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rs.10,00,000"
],
"style": "rule"
} | {
"answer": [
"Rs.10,00,000"
],
"id": "wikisql-40357",
"question": "What is the profit amount that has May 30, 2009 as the premiere date for Season 2 of 10 Ka Dum?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"LT"
],
"style": "rule"
} | {
"answer": [
"LT"
],
"id": "wikisql-40378",
"question": "Among the 1963 Looney Tunes and Merrie Melodies filmographies, from which series was the title with a production number of 1614 directed by Friz Freleng?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40381",
"question": "What was the latitude of Van Meter that had land (sqmi) greater than 35,747, water (sqmi) of 0, and geoid less than 3809981860 in the list of townships in North Dakota, 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": [
"24"
],
"style": "rule"
} | {
"answer": [
"24"
],
"id": "wikisql-40382",
"question": "From the list of townships in North Dakota, V, what was the population of the township with latitude 48.853051 and water (square feet) less than 0.9590000000000001?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40383",
"question": "List of townships in North Dakota, V, Van Meter has a water area (sqmi) of 0 and a longitude greater than -98.444062, what was their highest ansi code?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.0"
],
"style": "rule"
} | {
"answer": [
"0.0"
],
"id": "wikisql-40384",
"question": "From the list of townships in North Dakota, V, what was the lowest water (square feet) in County Dickey where the longitude was less than -98.444062?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"David Capel"
],
"style": "rule"
} | {
"answer": [
"David Capel"
],
"id": "wikisql-40385",
"question": "Who is the coach of the Northamptonshire Steelbacks for Friends Life t20's teams?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Leicestershire Foxes"
],
"style": "rule"
} | {
"answer": [
"Leicestershire Foxes"
],
"id": "wikisql-40386",
"question": "Which Friends Life t20 team is in Leicester?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sussex Sharks"
],
"style": "rule"
} | {
"answer": [
"Sussex Sharks"
],
"id": "wikisql-40387",
"question": "Welches Team ist in Sussex County in Friends Life t20's Teams?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"St Lawrence Ground"
],
"style": "rule"
} | {
"answer": [
"St Lawrence Ground"
],
"id": "wikisql-40388",
"question": "What is the home stadium of the Friends Life t20 team in Canterbury?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"James Adams"
],
"style": "rule"
} | {
"answer": [
"James Adams"
],
"id": "wikisql-40389",
"question": "Who is the captain of the Friends Life t20 team coached by Giles White?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"North"
],
"style": "rule"
} | {
"answer": [
"North"
],
"id": "wikisql-40390",
"question": "From the Friends Life t20 teams, which division are the Derbyshire Falcons in?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"41"
],
"style": "rule"
} | {
"answer": [
"41"
],
"id": "wikisql-40392",
"question": "What is the Syracuse player's pick number in the sixth round of the 1965 American Football League Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Justin Canale Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Justin Canale Category:Articles with hCards"
],
"id": "wikisql-40393",
"question": "What is the Mississippi State College offensive guard with a pick number greater than 44 in the sixth round of the 1965 American Football League Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Syracuse"
],
"style": "rule"
} | {
"answer": [
"Syracuse"
],
"id": "wikisql-40394",
"question": "What is the Denver Broncos sixth-round college of the pick from the 1965 American Football League draft?",
"split": "train"
} |
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