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": [
"AB-12-34"
],
"style": "rule"
} | {
"answer": [
"AB-12-34"
],
"id": "wikisql-27090",
"question": "What is the serial number format for white on blue with a serial number from ss-00-00 to zz-99-99 for Alberta license plates 1954 to 1972?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"SS-00-00 to ZZ-99-99"
],
"style": "rule"
} | {
"answer": [
"SS-00-00 to ZZ-99-99"
],
"id": "wikisql-27091",
"question": "What is the 1966 issued serial number for Alberta license plates from 1954 to 1972?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"AB-12-34"
],
"style": "rule"
} | {
"answer": [
"AB-12-34"
],
"id": "wikisql-27092",
"question": "What serial format was issued in 1972 in Alberta's 1954 through 1972 vehicle registration plates?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Passenger"
],
"style": "rule"
} | {
"answer": [
"Passenger"
],
"id": "wikisql-27093",
"question": "What type of license plates were issued in Alberta in 1964, 1954 through 1972?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0β1"
],
"style": "rule"
} | {
"answer": [
"0β1"
],
"id": "wikisql-27095",
"question": "What was the final score on 1 August 2008 for the 2008/09 season for AC Milan's pre-season tournaments and friendlies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Naples , Italy"
],
"style": "rule"
} | {
"answer": [
"Naples , Italy"
],
"id": "wikisql-27096",
"question": "Where did Milan play against Napoli in AC Milan's 2008-09 preparatory tournaments and friendlies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-27097",
"question": "WHICH WEEK HAS A TV TIME OF BYE in the Philadelphia Eagles 2001 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": [
"68124"
],
"style": "rule"
} | {
"answer": [
"68124"
],
"id": "wikisql-27098",
"question": "What was the attendance for the 2001 Philadelphia Eagles season week 15 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": [
"W 23β10"
],
"style": "rule"
} | {
"answer": [
"W 23β10"
],
"id": "wikisql-27099",
"question": "What was the result for the November 29, 2001 Philadelphia Eagles 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": [
"Rasmussen Reports"
],
"style": "rule"
} | {
"answer": [
"Rasmussen Reports"
],
"id": "wikisql-27108",
"question": "What is the opinion poll of Alabama sources for the 2008 US Senate election if Jeff Sessions is 58% and the election date is July 31, 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": [
"May 27, 2008"
],
"style": "rule"
} | {
"answer": [
"May 27, 2008"
],
"id": "wikisql-27109",
"question": "Alabama: What date was given by a source of Rasmussen reports and a margin of over 32 in the opinion poll for the 2008 United States Senate election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"August 25β27, 2007"
],
"style": "rule"
} | {
"answer": [
"August 25β27, 2007"
],
"id": "wikisql-27110",
"question": "What is the date that the Vivian Davis numbers were at 37 percent in the 2008 United States Senate, Alabama Opinion Poll?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"April 2, 2008"
],
"style": "rule"
} | {
"answer": [
"April 2, 2008"
],
"id": "wikisql-27111",
"question": "What is the date that the Vivian Davis number was 36% in the opinion polls for the 2008 United States Senate election, Alabama?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rasmussen Reports"
],
"style": "rule"
} | {
"answer": [
"Rasmussen Reports"
],
"id": "wikisql-27112",
"question": "What is the opinion poll source for the United States Senate elections?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2β5"
],
"style": "rule"
} | {
"answer": [
"2β5"
],
"id": "wikisql-27113",
"question": "What is the score of the Detroit Red Wings 4 home game against the Chicago Black Hawks 2 on March 28, 1962-63?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chicago Black Hawks"
],
"style": "rule"
} | {
"answer": [
"Chicago Black Hawks"
],
"id": "wikisql-27116",
"question": "What is the 1962β63 Chicago Black Hawks Season 4 Detroit Red Wings 2 game attendee on March 31?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Detroit Red Wings"
],
"style": "rule"
} | {
"answer": [
"Detroit Red Wings"
],
"id": "wikisql-27117",
"question": "What is Detroit/Chicago Red Wings 4 Chicago Black Hawks 2 April 2, 1962-63 Chicago season home 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": [
"Baltimore Bullets"
],
"style": "rule"
} | {
"answer": [
"Baltimore Bullets"
],
"id": "wikisql-27135",
"question": "Who were the Cleveland Cavaliers opponents in January/March 1971-72 when the score was 101-105 and H/A/NH?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"March 16"
],
"style": "rule"
} | {
"answer": [
"March 16"
],
"id": "wikisql-27136",
"question": "What date was the March game against the Baltimore Bullets when the Cleveland Cavaliers' H/A/N was H for the 1971-72 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": [
"Cincinnati Royals"
],
"style": "rule"
} | {
"answer": [
"Cincinnati Royals"
],
"id": "wikisql-27138",
"question": "What is the March 1971-1972 season of the Cleveland Cavaliers opponents of H-TOTAL when the score was 122-135 and was H/A/NH?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"91-109"
],
"style": "rule"
} | {
"answer": [
"91-109"
],
"id": "wikisql-27139",
"question": "What is the score of the game where the Cleveland Cavaliers' record for the 1971-72 season was 22-55 in March 1971-72?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17β18 Apr"
],
"style": "rule"
} | {
"answer": [
"17β18 Apr"
],
"id": "wikisql-27161",
"question": "When was the 2000 Lakeside race where Paul Morris won the 2000 Australian Super Touring Championship race calendar in 1999?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-27164",
"question": "How many years has he had a Forest Hills location and a score of 6-3, 6-3 for John McEnroe in the WCT Tournament of Champions' Singles 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": [
"Yannick Noah"
],
"style": "rule"
} | {
"answer": [
"Yannick Noah"
],
"id": "wikisql-27165",
"question": "Who is the winner among the WCT Tournament of Champions Singles with a score of 7-6, 6-0?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Aaron Krickstein"
],
"style": "rule"
} | {
"answer": [
"Aaron Krickstein"
],
"id": "wikisql-27166",
"question": "Who was runner-up in the 1990 WCT Tournament of Champions (single edition)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1986"
],
"style": "rule"
} | {
"answer": [
"1986"
],
"id": "wikisql-27167",
"question": "When was the earliest year that Guillermo Vilas was runner-up in the individual category at the WCT Tournament of Champions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Result"
],
"style": "rule"
} | {
"answer": [
"Result"
],
"id": "wikisql-27168",
"question": "In the World Sidecarcross Championship, what source has a Ben Adriaenssen/Ben van den Bogaart race winner and Ben Adriaenssen/Ben van den Bogaart GP winner for the April 1, 2013 date?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ben Adriaenssen / Ben van de Bogaart"
],
"style": "rule"
} | {
"answer": [
"Ben Adriaenssen / Ben van de Bogaart"
],
"id": "wikisql-27169",
"question": "What is the GP winner of race winners Valentin Giraud/Nicolas Musset and a place Genk among the 2013 sidecarcross world 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": [
"19 May"
],
"style": "rule"
} | {
"answer": [
"19 May"
],
"id": "wikisql-27171",
"question": "Which date has a place from Chernivtsi and a race winner from Etienne Bax/Kaspars Stupelis under the 2013 World Sidecarcross 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": [
"Ben Adriaenssen / Ben van de Bogaart"
],
"style": "rule"
} | {
"answer": [
"Ben Adriaenssen / Ben van de Bogaart"
],
"id": "wikisql-27172",
"question": "What is the GP winner with a place in Genk, with race winners Ben Adriaenssen / Ben van den Bogaart among the 2013 sidecarcross world 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": [
"Valentin Giraud / Nicolas Musset",
"Ben Adriaenssen / Ben van den Bogaart"
],
"style": "rule"
} | {
"answer": [
"Valentin Giraud / Nicolas Musset",
"Ben Adriaenssen / Ben van den Bogaart"
],
"id": "wikisql-27173",
"question": "What are the race winners for June 23 at the 2013 World Sidecarcross 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": [
"Peterborough Phantoms"
],
"style": "rule"
} | {
"answer": [
"Peterborough Phantoms"
],
"id": "wikisql-27182",
"question": "Which team were the Flames playing when 526 people attended the game in October 2008/09 Guildford Flames 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": [
"League/Cup"
],
"style": "rule"
} | {
"answer": [
"League/Cup"
],
"id": "wikisql-27183",
"question": "Rick Plant was man of the match in which competition of the Guildford Flames 2008/09 season in October?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Wightlink Raiders"
],
"style": "rule"
} | {
"answer": [
"Wightlink Raiders"
],
"id": "wikisql-27184",
"question": "Who did the Flames play when Stephen Lee was Man of the Match in the October 2008/09 Guildford Flames season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-27185",
"question": "How many people attended the 2008/09 Guildford Flames game when the game was won 4-2 in October?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Exhibition"
],
"style": "rule"
} | {
"answer": [
"Exhibition"
],
"id": "wikisql-27186",
"question": "2008/09 Guildford Flames, which competition is the venue for in October the N/A man of the match?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11β1"
],
"style": "rule"
} | {
"answer": [
"11β1"
],
"id": "wikisql-27187",
"question": "What was the Denver Broncos' all-time record when they played the Minnesota Vikings at Mile High Stadium in 1984 with a crowd of 38,494?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-27189",
"question": "What week was the game played at Rich Stadium for the Denver Broncos 1984 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-27228",
"question": "How many seats has 2005 percentage increase/decrease 50.0%, one governorate of Dhi Qar, and more than 6 increase/decrease in Iraqi general election, seat distribution 2010 #Baghdad's seats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-27229",
"question": "Report the lowest seats in the 2010 list of seats showing 2005 seats less than 9, a governorate of Al Muthanna governorate, and an increase/decrease of more than 2 for the distribution of seats in the 2010 Iraqi general election. ?",
"split": "tr... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-27230",
"question": "What is the average increase/decrease by a governorate of Al Anbar governorate and seats less than 9 in 2005 Iraqi general election, 2010 seat allocation?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-27231",
"question": "For the 2010 Iraqi general election, what is the highest increase/decrease that has a percentage increase/decrease of 100% and seats in 2010 that are greater than 8 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Andrew Pitt"
],
"style": "rule"
} | {
"answer": [
"Andrew Pitt"
],
"id": "wikisql-27234",
"question": "Which rider is Grid 7 in the 2008 Monza Superbike World Championship in the Supersport race standings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-27257",
"question": "What are the points if the competitor is the Brabham Racing Organisation, the year is 1964 and the chassis is Brabham bt7 under Jack Brabham's Formula 1 World Championship overall results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Brabham Racing Organisation"
],
"style": "rule"
} | {
"answer": [
"Brabham Racing Organisation"
],
"id": "wikisql-27258",
"question": "Who is the competitor when the points are 42 (45) and the chassis is Brabham BT20 under Jack Brabham's Formula 1 World Championship overall results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-27259",
"question": "How many times is chassis Brabham bt33 among Jack Brabham's complete Formula 1 World Championship results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"GΓΆteborg"
],
"style": "rule"
} | {
"answer": [
"GΓΆteborg"
],
"id": "wikisql-27261",
"question": "Who was DjurgΓ₯rden IF's opponent of the season at Ullevi in 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2005-09-19"
],
"style": "rule"
} | {
"answer": [
"2005-09-19"
],
"id": "wikisql-27262",
"question": "When was Gothenburg the opponent with a result of 3-1 for the matches of DjurgΓ₯rdens IF season 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-27265",
"question": "What were SΓ©bastien Bourdais' lowest points when there were under 63 laps racing the Gran Premio Telmex/Tecate 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": [
"2β2 ( a )"
],
"style": "rule"
} | {
"answer": [
"2β2 ( a )"
],
"id": "wikisql-27274",
"question": "What is the total for a draw with a team 2 of Irtysh under 2009-10 UEFA Europa League first qualifying 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": [
"3β2"
],
"style": "rule"
} | {
"answer": [
"3β2"
],
"id": "wikisql-27275",
"question": "What was the total in the match with a team 1 from Dinamo Minsk in the 2009-2010 UEFA Europa League first qualifying 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": [
"Celtic"
],
"style": "rule"
} | {
"answer": [
"Celtic"
],
"id": "wikisql-27284",
"question": "Which opponent had a round SF for Rangers FC in the 1995/96 Scottish Cup 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": [
"2β1"
],
"style": "rule"
} | {
"answer": [
"2β1"
],
"id": "wikisql-27285",
"question": "What was the 1995/96 Scottish Cup season result for Rangers when they faced Celtic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10-1"
],
"style": "rule"
} | {
"answer": [
"10-1"
],
"id": "wikisql-27286",
"question": "What was the Scottish Cup result for round r3 of Rangers FC season 1995/96?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1041"
],
"style": "rule"
} | {
"answer": [
"1041"
],
"id": "wikisql-27309",
"question": "Summary: For the 2008 IAAF World Indoor Championships - Women's Pentathlon, what is the 60 mH that a country has Russia and the 800 m of 883?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4852 SB"
],
"style": "rule"
} | {
"answer": [
"4852 SB"
],
"id": "wikisql-27310",
"question": "What is the total among the 2008 IAAF World Indoor Championships - Women's Pentathlon - Summary that had a 60mH of 1073?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Austra SkujytΔ"
],
"style": "rule"
} | {
"answer": [
"Austra SkujytΔ"
],
"id": "wikisql-27311",
"question": "What is the name that has 60mH less than 1002 and 800m less than 985 and one country Lithuania among 2008 IAAF World Indoor Championships β Women's Pentathlon Summary?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"July 17"
],
"style": "rule"
} | {
"answer": [
"July 17"
],
"id": "wikisql-27318",
"question": "What date was the 2008 New York Liberty season game when the Liberty had a record of 12-9?",
"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": [
"6-5"
],
"style": "rule"
} | {
"answer": [
"6-5"
],
"id": "wikisql-27319",
"question": "What was the record for the game that had a score of 105-72 for the 2008 New York Liberty 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": [
"June 11"
],
"style": "rule"
} | {
"answer": [
"June 11"
],
"id": "wikisql-27320",
"question": "What was the date of the game where the New York Liberty's record for the 2008 season schedule was 4-4?",
"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": [
"Chip Beck"
],
"style": "rule"
} | {
"answer": [
"Chip Beck"
],
"id": "wikisql-27323",
"question": "Which player in the 1986 US Open (golf) finals had a score of 75-73-68-65=281 and more than 19,009 in money?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-27324",
"question": "What is the country of T6 ranked player Ben Crenshaw in the 1986 United States Open (Golf) finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19009"
],
"style": "rule"
} | {
"answer": [
"19009"
],
"id": "wikisql-27325",
"question": "What is the player's money with a +3 To Par and a score of 76-69-69-69=283 in the 1986 US Open (Golf) finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Crystal Palace"
],
"style": "rule"
} | {
"answer": [
"Crystal Palace"
],
"id": "wikisql-27346",
"question": "Which team has a home game with a draw-4 for the 1994/95 FA Cup sixth round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1β1"
],
"style": "rule"
} | {
"answer": [
"1β1"
],
"id": "wikisql-27347",
"question": "What is the score of a team tied 4 if the 1994β95 FA Cup is played sixth round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1β2"
],
"style": "rule"
} | {
"answer": [
"1β2"
],
"id": "wikisql-27348",
"question": "What is the score of the game with 39,592 spectators for the 1994/95 FA Cup sixth round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11 March 1995"
],
"style": "rule"
} | {
"answer": [
"11 March 1995"
],
"id": "wikisql-27349",
"question": "How many attended the game when it ended in a tie-4 in the 1994/95 FA Cup sixth round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Renaldo Hill"
],
"style": "rule"
} | {
"answer": [
"Renaldo Hill"
],
"id": "wikisql-27350",
"question": "Which player was the 2001 Arizona Cardinals defensive tackle after Round 3 of the NFL 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": [
"98"
],
"style": "rule"
} | {
"answer": [
"98"
],
"id": "wikisql-27351",
"question": "What was Bill Gramatica's pick in the 2001 Arizona Cardinals season after Round 2 of the NFL 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": [
"Johansson"
],
"style": "rule"
} | {
"answer": [
"Johansson"
],
"id": "wikisql-27361",
"question": "What were the goalscorers of the Djurgarden 2004 Swedish Cup when the venue of DjurgΓ₯rden's 2004 IF season was Idrottsparken?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-27368",
"question": "What is Grupo Capitol Valladolid's highest rank with 34+ games in points of 2007β08 ACB season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"+2"
],
"style": "rule"
} | {
"answer": [
"+2"
],
"id": "wikisql-27382",
"question": "In the last round of the 1997 US Open (Golf) when the result was 71-71-70-70=282, what was the top par?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"67-70-68-73=278"
],
"style": "rule"
} | {
"answer": [
"67-70-68-73=278"
],
"id": "wikisql-27383",
"question": "What was Tom Lehman's score at the 1997 US Open (Golf) in the finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gary Player"
],
"style": "rule"
} | {
"answer": [
"Gary Player"
],
"id": "wikisql-27387",
"question": "Which player made a total of 297 for the 1987 Masters 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": [
"Spain"
],
"style": "rule"
} | {
"answer": [
"Spain"
],
"id": "wikisql-27388",
"question": "Which country has less than 289 overall and finished t2 under the 1987 Masters Tournament's Made the Cut?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gary Player"
],
"style": "rule"
} | {
"answer": [
"Gary Player"
],
"id": "wikisql-27389",
"question": "Which player finished t35 among the 1987 Masters Tournament's Made the Cut?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T27"
],
"style": "rule"
} | {
"answer": [
"T27"
],
"id": "wikisql-27390",
"question": "Name the finish among the 1987 Masters Tournament made-the-cut finishers who totaled 289+ and won in 1979?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0β3"
],
"style": "rule"
} | {
"answer": [
"0β3"
],
"id": "wikisql-27402",
"question": "What is the result of Pool B with a time at 18:00 and a Set 3 score of 13-25 for the 2005 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": [
"20β25"
],
"style": "rule"
} | {
"answer": [
"20β25"
],
"id": "wikisql-27403",
"question": "What is the score for set 2 if the score of set 1 is 19-25 in Pool B of 2005 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": [
"86β99"
],
"style": "rule"
} | {
"answer": [
"86β99"
],
"id": "wikisql-27404",
"question": "With a time at 4:00 p.m. and a score of 18-25 for set 3, what is the total in Pool B of the Asian Men's Volleyball Championship 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20β25"
],
"style": "rule"
} | {
"answer": [
"20β25"
],
"id": "wikisql-27405",
"question": "What is the set 2 score if it is 6:00 p.m. and the set 1 score is 18-25 for the 2005 Asian Men's Volleyball Championship Pool B?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"51β75"
],
"style": "rule"
} | {
"answer": [
"51β75"
],
"id": "wikisql-27406",
"question": "What was the total with a Set 3 score of 13-25 for Pool B of the 2005 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": [
"San Diego Rockets"
],
"style": "rule"
} | {
"answer": [
"San Diego Rockets"
],
"id": "wikisql-27431",
"question": "What did they play when the Cleveland Cavaliers went 95-118 in the December 1970-71 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": [
"Cincinnati Royals"
],
"style": "rule"
} | {
"answer": [
"Cincinnati Royals"
],
"id": "wikisql-27432",
"question": "Who did they play against when the Cleveland Cavaliers went 95-114 in December of the 1970-71 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": [
"December 11"
],
"style": "rule"
} | {
"answer": [
"December 11"
],
"id": "wikisql-27433",
"question": "When was the Cleveland Cavaliers 92-134 December 1970-71 season result?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"92-110"
],
"style": "rule"
} | {
"answer": [
"92-110"
],
"id": "wikisql-27434",
"question": "When they were 2-32 with the Cleveland Cavaliers in the 1970-71 season, what did they score in December?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 November"
],
"style": "rule"
} | {
"answer": [
"22 November"
],
"id": "wikisql-27438",
"question": "On what date were the Perth Wildcats the away team for Round 10 of the 2008-09 NBL 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": [
"22 November"
],
"style": "rule"
} | {
"answer": [
"22 November"
],
"id": "wikisql-27439",
"question": "On what date was the Round 10 score 121-113 in the 2008-09 NBL 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": [
"22 November"
],
"style": "rule"
} | {
"answer": [
"22 November"
],
"id": "wikisql-27440",
"question": "On what date were the Adelaide 36ers the home team in Round 10 of the 2008-09 NBL season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"report"
],
"style": "rule"
} | {
"answer": [
"report"
],
"id": "wikisql-27441",
"question": "Which report from the 2008-09 NBL season is for Townsville Entertainment Center Round 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": [
"Cairns Taipans"
],
"style": "rule"
} | {
"answer": [
"Cairns Taipans"
],
"id": "wikisql-27442",
"question": "Which 2008-09 NBL home team had a Round 10 score of 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": [
"box score"
],
"style": "rule"
} | {
"answer": [
"box score"
],
"id": "wikisql-27443",
"question": "What was the boxing core for the Melbourne Tigers in the 2008β09 NBL season, Round 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": [
"3β0"
],
"style": "rule"
} | {
"answer": [
"3β0"
],
"id": "wikisql-27451",
"question": "What was the result when the tie was 6 for the fifth proper round of the 1930/31 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": [
"3β0"
],
"style": "rule"
} | {
"answer": [
"3β0"
],
"id": "wikisql-27452",
"question": "What was the result when the tie was no less than 2 for the fifth proper round of the 1930-31 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": [
"Sheffield United"
],
"style": "rule"
} | {
"answer": [
"Sheffield United"
],
"id": "wikisql-27453",
"question": "Who was the away side when Sunderland were the home team in the 1930β31 FA Cup fifth 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": [
"Carlin Motorsport"
],
"style": "rule"
} | {
"answer": [
"Carlin Motorsport"
],
"id": "wikisql-27454",
"question": "Which winning team has Brendon Hartley's fastest lap and Oliver Turvey's pole position and a Spa-Francorchamps circuit and Brendon Hartley's winning driver on the 2008 British Formula 3 season calendar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Oulton Park"
],
"style": "rule"
} | {
"answer": [
"Oulton Park"
],
"id": "wikisql-27455",
"question": "Which circuit has the winning team from Carlin Motorsport and the winning driver from Oliver Turvey and a date of March 24th in the calendar of the British Formula 3 season 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-27456",
"question": "What is the lap of Brendon Hartley's winning driver and a date of 27 April on the 2008 British Formula 3 season calendar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8 June"
],
"style": "rule"
} | {
"answer": [
"8 June"
],
"id": "wikisql-27457",
"question": "On what date does Michael Devaney have a pole position on the 2008 British Formula 3 season calendar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"South Carolina"
],
"style": "rule"
} | {
"answer": [
"South Carolina"
],
"id": "wikisql-27460",
"question": "Which college was the middle draft pick in the Buffalo Bills' 1986 NFL draft season?",
"split": "train"
} |
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