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": [
"Crook Town"
],
"style": "rule"
} | {
"answer": [
"Crook Town"
],
"id": "wikisql-66692",
"question": "Who was the home side that played Armthorpe Welfare in the 2008/09 FA Cup qualifying round and preliminary round replays?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"129"
],
"style": "rule"
} | {
"answer": [
"129"
],
"id": "wikisql-66693",
"question": "What is the tie for the game with away team whyteleafe in 2008/09 FA Cup qualifying rounds of prelim replays?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1–2"
],
"style": "rule"
} | {
"answer": [
"1–2"
],
"id": "wikisql-66694",
"question": "What is the result of home side Maine Road for the 2008/09 FA Cup qualifying rounds replays?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CA"
],
"style": "rule"
} | {
"answer": [
"CA"
],
"id": "wikisql-66723",
"question": "Which is the state ranked the 43rd busiest hub airport by total passenger boarding in the United States in 2012?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L14–15"
],
"style": "rule"
} | {
"answer": [
"L14–15"
],
"id": "wikisql-66745",
"question": "According to Arkansas Razorbacks Football, 1960-69, rank 2 in 1969-1970 viewership was the result of rank 2 on December 6, 1969?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-66746",
"question": "What was the viewership, opponent 1969-1970 at Baylor in Arkansas Razorbacks Football, rank 1960-1969?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"W24–6"
],
"style": "rule"
} | {
"answer": [
"W24–6"
],
"id": "wikisql-66747",
"question": "What is the 1969-1970 participation result for opponent TCU under Arkansas Razorbacks Football, 1960-69?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"January 1, 1970"
],
"style": "rule"
} | {
"answer": [
"January 1, 1970"
],
"id": "wikisql-66748",
"question": "What date was the Arkansas Razorbacks Football attendance in 1969-1970, 1960-69 was 82,500?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Maria"
],
"style": "rule"
} | {
"answer": [
"Maria"
],
"id": "wikisql-66841",
"question": "Which wrestler has an elimination of 7 in Survivor Series (2008) 2nd matches?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-66842",
"question": "What is elimination of player with Elimination Move by Hurricanrana Pin among Survivor Series (2008) Elimination 2nd Matches?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-66848",
"question": "What was the lowest total for Italy if the last victory is in 1950 in classic cycling races, who won more than two of the \"monuments\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-66890",
"question": "What is the total number of matches of the Tunisian championship if the losses are more than 6 if the club is “Club Sportif Sfaxien” and if the Oceano Club de Kerkennah has less than 3 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-66891",
"question": "What are the lowest games in Oceano Club de Kerkennah when wins are less than 1 and draws are more than 1 in Tunisian 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": [
"Corey Cogdell ( USA )"
],
"style": "rule"
} | {
"answer": [
"Corey Cogdell ( USA )"
],
"id": "wikisql-67085",
"question": "Which shooter was the 2008 Qualifier, Women's Trap Olympic Bronze Medalist at the 2008 Issf World Cup Finals (Shotgun)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"WC Kerrville"
],
"style": "rule"
} | {
"answer": [
"WC Kerrville"
],
"id": "wikisql-67086",
"question": "At which event did the shooter, who had a total of 29 points, compete in the 2008 issf World Cup Finals (Shotgun) Women's Qualifying 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": [
"Irina Laricheva ( RUS )"
],
"style": "rule"
} | {
"answer": [
"Irina Laricheva ( RUS )"
],
"id": "wikisql-67087",
"question": "Who has 13 points in the 2008 Issf World Cup Final (Shotgun) WC Kerrville in Qualification, Women's Trap?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"WC Belgrade",
"WC Beijing"
],
"style": "rule"
} | {
"answer": [
"WC Belgrade",
"WC Beijing"
],
"id": "wikisql-67088",
"question": "At which event did the shooter who scored 10 points compete in the 2008 issf World Cup Women's Qualifying Tournament (Shotgun)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-67188",
"question": "What is the total number of wickets averaging 26.13 for the Bermuda national cricket team with the most ODI records and statistics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-67189",
"question": "What is the overall ranking for players Delyone Borden with 15+ wickets for most odi, Bermuda national cricket team 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-67190",
"question": "What is the total number of wickets higher than 5 rangers for the Bermuda national cricket team record 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": [
"2006–2008"
],
"style": "rule"
} | {
"answer": [
"2006–2008"
],
"id": "wikisql-67191",
"question": "What was career rank higher than 1, with under 36.13 averages and 15 wickets, and player George O'brien among Bermuda national cricket team's best 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-67192",
"question": "What is the highest rank for less than 15 wickets for most Bermuda national cricket team records and statistics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"bumped Corpus Christi"
],
"style": "rule"
} | {
"answer": [
"bumped Corpus Christi"
],
"id": "wikisql-67240",
"question": "What is the 4th day 2nd day bumped between the Hughes Hall College Boat Club 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": [
"2010.0"
],
"style": "rule"
} | {
"answer": [
"2010.0"
],
"id": "wikisql-67241",
"question": "What is the year the 3rd day rowed and the 4th day of corpus christi bumped for the huges hall college boat club scores",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"rowed-over"
],
"style": "rule"
} | {
"answer": [
"rowed-over"
],
"id": "wikisql-67242",
"question": "The result, at the Hughes Hall College Boat Club D game, what is the 3rd day Caius is hit by it on the 4th day?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"rowed-over"
],
"style": "rule"
} | {
"answer": [
"rowed-over"
],
"id": "wikisql-67243",
"question": "What was the 4th day in the year before 2012 that the results of the Hughes Hall College Boat Club game ranked 33rd?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.79%"
],
"style": "rule"
} | {
"answer": [
"0.79%"
],
"id": "wikisql-67260",
"question": "Considering the usage percentage of web browsers from April 2000 to August 2003 for Nets Applications (Q4 2004 to present), what percentage of users were using Netscape over the period where 21.67% were using Firefox?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4.78%"
],
"style": "rule"
} | {
"answer": [
"4.78%"
],
"id": "wikisql-67261",
"question": "What percentage of Opera's users use Safari during the period that 2.33% used Opera with usage share of web browser data worldwide from :net applications (2004 q4 to present)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"*14.35%"
],
"style": "rule"
} | {
"answer": [
"*14.35%"
],
"id": "wikisql-67263",
"question": "Looking at web browser usage percentage, global data from :,net applications (Q4 2004 to present), what percentage of users were using Firefox over the period where * 0.77% were using Netscape?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2.29%"
],
"style": "rule"
} | {
"answer": [
"2.29%"
],
"id": "wikisql-67265",
"question": "Among global data usage share of web browsers by :,net applications (2004 Q4 to present) with 64% (64.02%) net users, what percentage of users used Opera during the period when 63.67% Internet Explorer used?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Indian Wells"
],
"style": "rule"
} | {
"answer": [
"Indian Wells"
],
"id": "wikisql-67288",
"question": "What is the 2012 Indian Wells Masters Men's Doubles Venue after 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": [
"Daisuke Usami Category:Articles with hCards",
"Takahiro Yamamoto Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Daisuke Usami Category:Articles with hCards",
"Takahiro Yamamoto Category:Articles with hCards"
],
"id": "wikisql-67466",
"question": "What is the name of the 2008 panasonic panthers club player in volleyball at the 2008 summer olympic games - men's team rosters in japan pool a ?",
"spl... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"kg (lb)"
],
"style": "rule"
} | {
"answer": [
"kg (lb)"
],
"id": "wikisql-67467",
"question": "What is the player's weight with a 2008 Tokai University club among volleyball games in Japan, 2008 Summer Olympics - men's team lists?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"bumped Clare Hall"
],
"style": "rule"
} | {
"answer": [
"bumped Clare Hall"
],
"id": "wikisql-67557",
"question": "Which Day 3 has a Rowing Day 4 and a finishing position of 55th among the Hughes Hall College Boat Club 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": [
"46th"
],
"style": "rule"
} | {
"answer": [
"46th"
],
"id": "wikisql-67558",
"question": "What ending position has a 4th day of pushed Robinson among Hughes Hall College Boat Club scores?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"bumped Jesus"
],
"style": "rule"
} | {
"answer": [
"bumped Jesus"
],
"id": "wikisql-67559",
"question": "What 1st day has a 3rd day with bumpy 1st and 3rd Trinity among Hughes Hall College Boat Club 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": [
"7th",
"5th"
],
"style": "rule"
} | {
"answer": [
"7th",
"5th"
],
"id": "wikisql-67636",
"question": "In melbourne wins records and stats of league history year by year what is the ranking position of team if team is less than 10 for season 2004 and final qualifiers dnq?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-67637",
"question": "What is the overall teams during the 2012-13 season in Melbourne league winning records and statistics, year by year history?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"DNQ"
],
"style": "rule"
} | {
"answer": [
"DNQ"
],
"id": "wikisql-67638",
"question": "What is the history of the league year by year: in relation to Melbourne's winning records and stats, what is the ACL qualification if the minor ladder position was ``5th and the finals qualifier was dnqs``?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Qualified"
],
"style": "rule"
} | {
"answer": [
"Qualified"
],
"id": "wikisql-67639",
"question": "What is the final qualification during the 2009/10 Melbourne Victory's Records and Statistics' League season, year by year history?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"London"
],
"style": "rule"
} | {
"answer": [
"London"
],
"id": "wikisql-67670",
"question": "What was the place of competition with a ranking final of 1st and a score qualifying under 28.975 for the Yevgeniya Kanayeva 2012 Olympic Detailed 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": [
"Olympics"
],
"style": "rule"
} | {
"answer": [
"Olympics"
],
"id": "wikisql-67671",
"question": "Which competition among Yevgeniya Kanayeva 2012 Olympic Detailed Results had a qualifying rank of 1 and a ball apparatus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"OG"
],
"style": "rule"
} | {
"answer": [
"OG"
],
"id": "wikisql-67676",
"question": "What is the comp of the shooter with a score of 489.5 in the 10m Air Pistol Records World Progression 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": [
"New targets from 1989"
],
"style": "rule"
} | {
"answer": [
"New targets from 1989"
],
"id": "wikisql-67677",
"question": "What is the date of the shooter's new targets of 1989 from the 10m Air Pistol Record World Progress List, Women's 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": [
"1969",
"1972"
],
"style": "rule"
} | {
"answer": [
"1969",
"1972"
],
"id": "wikisql-67702",
"question": "When was the score 379 in the list of world records in the women's 10 meter air pistol 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": [
"��"
],
"style": "rule"
} | {
"answer": [
"��"
],
"id": "wikisql-68000",
"question": "Which Gothic letter has the Proto-Germanic origin of /ɸ/ ; /b/ in speech and consonants, alphabet and transliteration ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"/j/"
],
"style": "rule"
} | {
"answer": [
"/j/"
],
"id": "wikisql-68001",
"question": "What is the Proto-Germanic origin of the phoneme /[ [ |j ] ]/ under the consonantal alphabet and transliteration of the Gothic language?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"k"
],
"style": "rule"
} | {
"answer": [
"k"
],
"id": "wikisql-68002",
"question": "What is the Roman entry for the allophone of [ [ [ |k ] ] under consonants, alphabet and transliteration under Gothic language?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"/k/"
],
"style": "rule"
} | {
"answer": [
"/k/"
],
"id": "wikisql-68003",
"question": "What is the Proto-Germanic origin associated with an allophone of [ [ [ |k ] ] ] in the consonant alphabet and the transliteration of the Gothic language?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"w"
],
"id": "wikisql-68004",
"question": "Of the consonants, alphabet, and transliteration of the Gothic language, the Proto-Germanic origin of /w/ is associated with which Roman entry?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"[[[|t]]]"
],
"style": "rule"
} | {
"answer": [
"[[[|t]]]"
],
"id": "wikisql-68005",
"question": "From the list of the consonant alphabet and the transliteration of the Gothic language, the Roman value of t is associated with which allophone?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Charlotte"
],
"style": "rule"
} | {
"answer": [
"Charlotte"
],
"id": "wikisql-68202",
"question": "What was the opponent of the 2004 Connecticut Sun Regular Season on June 3?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-68203",
"question": "Which game had a 9-7 record for the June 2004 regular season for the Connecticut Sun?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68204",
"question": "What is the highest game in June, the regular season of Connecticut's 2004 sunny season with a 3-2 record?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"@ Indiana"
],
"style": "rule"
} | {
"answer": [
"@ Indiana"
],
"id": "wikisql-68205",
"question": "What is the Connecticut Sun 2004 regular season opponent in the game numbered greater than 5 on June 22?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 71-67 (OT)"
],
"style": "rule"
} | {
"answer": [
"W 71-67 (OT)"
],
"id": "wikisql-68206",
"question": "What is the score of the 2004 Connecticut Sun Season game on June 25th in the Mohegan Sun Arena regular 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": [
"@ Phoenix"
],
"style": "rule"
} | {
"answer": [
"@ Phoenix"
],
"id": "wikisql-68207",
"question": "Who is the opponent at America West Arena for the 2004 Connecticut Sun Season in June regular 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"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-68269",
"question": "What is the largest lap with a Korean Grand Prix racing title in the 2011 calendar of the 2011 Formula 1 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Suzuka Circuit , Suzuka"
],
"style": "rule"
} | {
"answer": [
"Suzuka Circuit , Suzuka"
],
"id": "wikisql-68270",
"question": "Which circuit has the Japanese Grand Prix title in the 2011 Formula 1 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17"
],
"style": "rule"
} | {
"answer": [
"17"
],
"id": "wikisql-68271",
"question": "What is the smallest lap in the 2011 calendar with a Grand Prix of the Indian GP in the Formula 1 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8 May"
],
"style": "rule"
} | {
"answer": [
"8 May"
],
"id": "wikisql-68272",
"question": "What is the date of a dhl turkish grand prix racing title in the 2011 calendar of the 2011 formula 1 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13 November 2007"
],
"style": "rule"
} | {
"answer": [
"13 November 2007"
],
"id": "wikisql-68420",
"question": "What is the premiere date of Billy Elliot the Musical's original UK cast, Rhys Kosakowski?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 January 2008 March 2008"
],
"style": "rule"
} | {
"answer": [
"19 January 2008 March 2008"
],
"id": "wikisql-68424",
"question": "What is the date of the last performance among the original cast of Billy Elliot The Musical on the UK tour with a former replacement cast status?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 11"
],
"style": "rule"
} | {
"answer": [
"April 11"
],
"id": "wikisql-68429",
"question": "Give the date the Texas Rangers record was 3-3 in April 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": [
"@ Royals"
],
"style": "rule"
} | {
"answer": [
"@ Royals"
],
"id": "wikisql-68430",
"question": "Name the opponent of the 2004 Texas Rangers season in the April 27 game log?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8-8"
],
"style": "rule"
} | {
"answer": [
"8-8"
],
"id": "wikisql-68431",
"question": "Name the record for April 22 in Texas Rangers 2004 game history?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 30"
],
"style": "rule"
} | {
"answer": [
"April 30"
],
"id": "wikisql-68433",
"question": "Give the date for 2004 planned Texas Rangers season 2005 postponed participation : April game record ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0-2"
],
"style": "rule"
} | {
"answer": [
"0-2"
],
"id": "wikisql-68434",
"question": "Can you provide the game history record for April 6, 2004 for the 2004 Texas Rangers 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": [
"19"
],
"style": "rule"
} | {
"answer": [
"19"
],
"id": "wikisql-68493",
"question": "Which finals had a first round of 20 for the 2001 NBA All-Star Game three-point contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-68494",
"question": "Which 2003 three-point contest had the final round with a weight of 245 for the 2001 NBA All-Star Game?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"G"
],
"style": "rule"
} | {
"answer": [
"G"
],
"id": "wikisql-68495",
"question": "What is the three-point competitive position for the New York Knicks among the 2001 NBA All-Stars?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10.0"
],
"style": "rule"
} | {
"answer": [
"10.0"
],
"id": "wikisql-68496",
"question": "What is the average first round for the Utah Jazz team weighing less than 229, three-point competition 2001 NBA All-Star Game?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"G"
],
"style": "rule"
} | {
"answer": [
"G"
],
"id": "wikisql-68497",
"question": "In the 2001 NBA All-Star Game three-point contest, which position has a weight less than 205?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-68582",
"question": "Considering William Meikle (1856-1864), what was the GSR number of the Dublin and South Eastern Railway (1854-1924) dated 1883 among the steam locomotives of Ireland?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68583",
"question": "What was the amount of fleet information for dwwr 50 and 51 under Irish William Meikle (1856–1864), Dublin and South Eastern Railway (1854–1924) steam locomotives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68584",
"question": "Under steam locomotives for Ireland's William Meikle (1856-1864) Dublin and South Eastern Railway (1854–1924), j7 Inchicore crowd?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68585",
"question": "What is the highest round for a defensive tackle position for 2011?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BK Ventspils"
],
"style": "rule"
} | {
"answer": [
"BK Ventspils"
],
"id": "wikisql-68618",
"question": "Which club started among the squads of Latvia Group B Fiba Eurobasket 2007 in 1976?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Aigars Vītols"
],
"style": "rule"
} | {
"answer": [
"Aigars Vītols"
],
"id": "wikisql-68619",
"question": "Which player was born in 1976 and is smaller than 2.03 among Latvian teams in group B in Fiba Eurobasket 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Basket Napoli",
"Barons Riga"
],
"style": "rule"
} | {
"answer": [
"Basket Napoli",
"Barons Riga"
],
"id": "wikisql-68620",
"question": "Which player from the FIBA 2007 EuroBasket Latvia Group B squads was born in 1978 and is shorter than 1.92?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2012"
],
"style": "rule"
} | {
"answer": [
"2012"
],
"id": "wikisql-68621",
"question": "What year did The Adventures of Tintin get Academy Awards and Nickelodeon Movie Nominations?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2012.0"
],
"style": "rule"
} | {
"answer": [
"2012.0"
],
"id": "wikisql-68622",
"question": "From the list of Nickelodeon movies with Oscars and nominations, what year was the movie Rango released?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"44348"
],
"style": "rule"
} | {
"answer": [
"44348"
],
"id": "wikisql-68852",
"question": "Do you credit participation in the 2004 Texas Rangers season for the July 16 game record?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rogers (12-3)"
],
"style": "rule"
} | {
"answer": [
"Rogers (12-3)"
],
"id": "wikisql-68853",
"question": "Name July, the 48-37 game record loss for the 2004 Texas Rangers 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": [
"57-45"
],
"style": "rule"
} | {
"answer": [
"57-45"
],
"id": "wikisql-68854",
"question": "With the 2004 Texas Rangers season, name that July game record record if the score is 9-4. ?",
"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": [
"24334"
],
"style": "rule"
} | {
"answer": [
"24334"
],
"id": "wikisql-68855",
"question": "Name the lowest attendance for a 52-37 record for the July 2004 Texas Rangers season games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rosa"
],
"style": "rule"
} | {
"answer": [
"Rosa"
],
"id": "wikisql-68892",
"question": "Who was number 3 in Portugal's winner Big Brother 5, which had a number 2 from Delfina and a final from Pedro?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25,26,27,28,29 January 1991"
],
"style": "rule"
} | {
"answer": [
"25,26,27,28,29 January 1991"
],
"id": "wikisql-69011",
"question": "What are the results of 1990 when Adelaide was a venue for Oval in Test matches ( 1991–2000 )?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Allan Border"
],
"style": "rule"
} | {
"answer": [
"Allan Border"
],
"id": "wikisql-69012",
"question": "Among the test matches (1991–2000), what is the home captain who has Waca Stadium as the venue for the 1990 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-69035",
"question": "What percentage of saves did the player with a 92.3% save rate and 217 goals have among the Boston University Terrier hockey goalies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 – 0"
],
"style": "rule"
} | {
"answer": [
"4 – 0"
],
"id": "wikisql-69036",
"question": "What is the result of the match with Lugo as an opponent with ah/a of h for the Segunda División competitions of the 1992-93 season in the UEFA Leida 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": [
"Betis"
],
"style": "rule"
} | {
"answer": [
"Betis"
],
"id": "wikisql-69037",
"question": "Who is the opponent of the game with ah/a by h,beguiristain iceta as referee and a kick-off at 1993-04-18 17:00 for the 1992-93 Segunda División of UEFA lleida?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1 – 0"
],
"style": "rule"
} | {
"answer": [
"1 – 0"
],
"id": "wikisql-69038",
"question": "What is the result of the game with a/h and a and a kick-off at 1992-10-31 16:00 in 1992–93 ue lleida season in Segunda División competitions?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Martínez de la Fuente"
],
"style": "rule"
} | {
"answer": [
"Martínez de la Fuente"
],
"id": "wikisql-69039",
"question": "Who was the referee of the match against Badajoz and ah/a of h in 1992-93 season in ue lleida segunda división,competitions ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14126"
],
"style": "rule"
} | {
"answer": [
"14126"
],
"id": "wikisql-69100",
"question": "In the 1967–68 January regular season, the record of 18–15–6 belongs to what lowest attendance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Stanley/DeWalt Power Tools"
],
"style": "rule"
} | {
"answer": [
"Stanley/DeWalt Power Tools"
],
"id": "wikisql-69110",
"question": "In the chartered NASCAR Camping World Truck Series: List of NASCAR teams, which major sponsor(s) owns Ford Fusion car(s) and the team principal is drawn blickensderfer?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Matt Puccia"
],
"style": "rule"
} | {
"answer": [
"Matt Puccia"
],
"id": "wikisql-69111",
"question": "Which team principal has an owner name, Jack Roush, and a driver, Greg Biffle, in the roster of 2014 chartered NASCAR Camping World Truck Series 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": [
"Drive to End Hunger / Axalta"
],
"style": "rule"
} | {
"answer": [
"Drive to End Hunger / Axalta"
],
"id": "wikisql-69112",
"question": "From the NASCAR Charted Teams Camping World Truck Series roster, which is the primary sponsor of owner Rick Hendrick and her crew chief Alan Gustafson?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"EPT Warsaw"
],
"style": "rule"
} | {
"answer": [
"EPT Warsaw"
],
"id": "wikisql-69233",
"question": "What is the name of the European Poker Tour that had a prize of 1,226,711 zł among the winners of the Season 3 ept Main Event?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Peter Willers Jepsen"
],
"style": "rule"
} | {
"answer": [
"Peter Willers Jepsen"
],
"id": "wikisql-69234",
"question": "Among the EPT winners, who was the winner of Season 3 of the European Poker Tour Main Event worth PLN 1,226,711?",
"split": "train"
} |
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