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": [
"Mattia Pasini"
],
"style": "rule"
} | {
"answer": [
"Mattia Pasini"
],
"id": "wikisql-15436",
"question": "Which 250cc winner has a 125cc winner from Bradley Smith and a MotoGP winner from Casey Stoner in the 2009 Grand Prix motorcycle racing 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": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-15437",
"question": "What is the lowest lap in the 2009 Grand Prix motorcycle racing season using a Circuit of Donington?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Casey Stoner"
],
"style": "rule"
} | {
"answer": [
"Casey Stoner"
],
"id": "wikisql-15438",
"question": "Which MotoGP winner has a Marco Simoncelli 250cc winner and a round of 16 in the 2009 motorcycle Grand Prix racing 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": [
"Mattia Pasini"
],
"style": "rule"
} | {
"answer": [
"Mattia Pasini"
],
"id": "wikisql-15439",
"question": "Which 250cc winner has a Bradley Smith 125cc winner and a Circuit of Mugello in the 2009 Grand Prix motorcycle racing 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": [
"Hiroshi Aoyama"
],
"style": "rule"
} | {
"answer": [
"Hiroshi Aoyama"
],
"id": "wikisql-15440",
"question": "Which 250cc winner of the 2009 Grand Prix motorcycle racing season has a lap greater than 6 and a date of July 26th?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1987"
],
"style": "rule"
} | {
"answer": [
"1987"
],
"id": "wikisql-15449",
"question": "Which year is the lowest with a length of 3:50 in the official versions of sans contrefaçon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0:34"
],
"style": "rule"
} | {
"answer": [
"0:34"
],
"id": "wikisql-15450",
"question": "What is the length of the year 2000 according to the official versions of Sans Contrefaçon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Adam Griffith"
],
"style": "rule"
} | {
"answer": [
"Adam Griffith"
],
"id": "wikisql-15452",
"question": "Which player on Tasmania's top-flight cricket team records the most wickets in a season equal to 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": [
"26"
],
"style": "rule"
} | {
"answer": [
"26"
],
"id": "wikisql-15454",
"question": "Which rank has a capacity less than 12,000 and a United States country among the list of tennis stadiums by capacity Davis Cup and Federation Cup venues?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"23000"
],
"style": "rule"
} | {
"answer": [
"23000"
],
"id": "wikisql-15456",
"question": "Which capacity is the lowest ranking below 15 and city of Belgrade among Davis Cup and Federation Cup venues in the list of tennis stadiums by capacity?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15457",
"question": "What is the lowest capacity that a Brisbane city and rank less than 1 in the list of tennis stadiums by capacity for Davis Cup and Federation Cup venues has?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"joined Mid-Indiana"
],
"style": "rule"
} | {
"answer": [
"joined Mid-Indiana"
],
"id": "wikisql-15463",
"question": "What new conference is being held in Greentown in the former members of the Three Rivers Conference (Indiana)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1980"
],
"style": "rule"
} | {
"answer": [
"1980"
],
"id": "wikisql-15464",
"question": "What is the most recent year among alumni of the Three Rivers Conference (Indiana) with a previous conference from Mid-Indiana at Converse?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1976"
],
"style": "rule"
} | {
"answer": [
"1976"
],
"id": "wikisql-15465",
"question": "What year did Culver leave the former members of the Three Rivers Conference (Indiana)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Comets"
],
"style": "rule"
} | {
"answer": [
"Comets"
],
"id": "wikisql-15466",
"question": "Among former members of the Three Rivers Conference (Indiana), what is the mascot with a #/County's 34 Howard?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 19"
],
"style": "rule"
} | {
"answer": [
"December 19"
],
"id": "wikisql-15467",
"question": "On what day in 1968 was a friendly match played with a score of 2-3 below the results of the Yugoslav national football team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Friendly"
],
"style": "rule"
} | {
"answer": [
"Friendly"
],
"id": "wikisql-15468",
"question": "What kind of match of results of Yugoslav national football team took place on December 22, 1968?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15476",
"question": "What is the highest number of successful launches associated with more than 1 launch and less than 0 failures in 2010 in space travel by configuration?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15477",
"question": "What are the fewest partial failures associated with 1 launch, india, gslv type and a gslv mk ii rocket in 2010 in space travel by configuration?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Steam"
],
"style": "rule"
} | {
"answer": [
"Steam"
],
"id": "wikisql-15478",
"question": "What type of locomotive is Winston Churchill among the Romney, Hythe and Dymchurch Railway 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": [
"Nouvelles du sport"
],
"style": "rule"
} | {
"answer": [
"Nouvelles du sport"
],
"id": "wikisql-15485",
"question": "Which 10:30 am Saturday has an 8:30 am de la soirée du hockey for the 1998–99 Canadian television program?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Movies & Specials"
],
"style": "rule"
} | {
"answer": [
"Movies & Specials"
],
"id": "wikisql-15486",
"question": "Which 7:30 p.m. has an 8:00 p.m. of the 1998–99 Canadian TV schedule among the network's Movies and Specials for Saturday?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nikita"
],
"style": "rule"
} | {
"answer": [
"Nikita"
],
"id": "wikisql-15487",
"question": "From 1998 to 1999 the Saturday of the Canadian television program having 10:30 a.m. a 7:30 a.m. Earth is: End Conflict?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Movies & Specials"
],
"style": "rule"
} | {
"answer": [
"Movies & Specials"
],
"id": "wikisql-15488",
"question": "Which 8:00 AM has a 10:00 AM with movies and specials in Canadian television programming from 1998–99 on Saturdays?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Movies"
],
"style": "rule"
} | {
"answer": [
"Movies"
],
"id": "wikisql-15489",
"question": "Which 7:30 am has a 10:30 am from le grand journal in the 1998–99 Canadian television program on Saturday?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"La Soirée du hockey"
],
"style": "rule"
} | {
"answer": [
"La Soirée du hockey"
],
"id": "wikisql-15490",
"question": "Which 7:00 p.m. has an 8:00 p.m. of the Soirée du Hockey among the 1998–99 Canadian television program Saturdays?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Home Improvement"
],
"style": "rule"
} | {
"answer": [
"Home Improvement"
],
"id": "wikisql-15501",
"question": "What is on at 8:00 am on the same channel that Costello is on at 8:30 am on Canadian Network 1998-99 TV programs on Tuesday?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jeopardy!"
],
"style": "rule"
} | {
"answer": [
"Jeopardy!"
],
"id": "wikisql-15502",
"question": "What is on at 7:30 am on the same channel as Wheel of Fortune at 7:00 am on Canadian TV Tuesdays 1998-99?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Home Improvement"
],
"style": "rule"
} | {
"answer": [
"Home Improvement"
],
"id": "wikisql-15503",
"question": "What is running at 8:00 with the same change as W-Five at 10:00 on the Canadian Network 1998-99 TV schedule Tuesday?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Le Grand Journal"
],
"style": "rule"
} | {
"answer": [
"Le Grand Journal"
],
"id": "wikisql-15504",
"question": "What's on at 9:30 am on the same channel as Fin du Monde at 10:00 am on the Canadian Network 1998-99 TV schedule on Tuesday?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Melrose Place"
],
"style": "rule"
} | {
"answer": [
"Melrose Place"
],
"id": "wikisql-15505",
"question": "What's on at 8:30 am on the same channel as Les Machos at 9:00 am on Canadian TV Network's Tuesday 1998-99 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": [
"1–1"
],
"style": "rule"
} | {
"answer": [
"1–1"
],
"id": "wikisql-15521",
"question": "What record has a 135–134 score for the Los Angeles Lakers in the 1971–72 season playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5760"
],
"style": "rule"
} | {
"answer": [
"5760"
],
"id": "wikisql-15524",
"question": "What is the largest ration with a common value of 84 zolotnik among the obsolete Russian units of measurement of the apothecary system?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"drachma"
],
"style": "rule"
} | {
"answer": [
"drachma"
],
"id": "wikisql-15525",
"question": "Which unit has an avoirdupois value of 57.602 gr. among the obsolete units of measure used in the Russian pharmacy system?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"ounce"
],
"style": "rule"
} | {
"answer": [
"ounce"
],
"id": "wikisql-15526",
"question": "What translation of obsolete Russian units of measurement by the apothecary system had a unit of Uncia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 zolotnik"
],
"style": "rule"
} | {
"answer": [
"7 zolotnik"
],
"id": "wikisql-15527",
"question": "Which ordinary value has a metric value of 29.861 g under the obsolete Russian units of measurement: apothecary system. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 zolotnik"
],
"style": "rule"
} | {
"answer": [
"7 zolotnik"
],
"id": "wikisql-15528",
"question": "What common value has a Russian value унция among the obsolete Russian units of measurement in the system of pharmacists?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.96004 gr."
],
"style": "rule"
} | {
"answer": [
"0.96004 gr."
],
"id": "wikisql-15529",
"question": "Among the obsolete Russian units of measurement in the system of pharmacists, what avoirdupois value is translated into grain?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Champions League (Q)"
],
"style": "rule"
} | {
"answer": [
"Champions League (Q)"
],
"id": "wikisql-15539",
"question": "What is the 29th July tournament hosted by SK Brann in SK Brann 2008 season 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": [
"FK Ventspils"
],
"style": "rule"
} | {
"answer": [
"FK Ventspils"
],
"id": "wikisql-15540",
"question": "Who is the 29th July match visitor among SK Brann 2008 season 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": [
"W Gymnastics"
],
"style": "rule"
} | {
"answer": [
"W Gymnastics"
],
"id": "wikisql-15554",
"question": "What sport was played on February 25, 2011 in the 2010 2011 Iowa Corn Cy-Hawk Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Iowa City"
],
"style": "rule"
} | {
"answer": [
"Iowa City"
],
"id": "wikisql-15555",
"question": "Where was the sport played on September 10, 2010 in the 2010 2011 Iowa Corn Cy-Hawk Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hard"
],
"style": "rule"
} | {
"answer": [
"Hard"
],
"id": "wikisql-15556",
"question": "What type of surface was played on when Julie Halard-Decugis was the partner for Ai Sugiyama's double wins on October 8, 2000 (38)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15567",
"question": "How many were present in Birmingham City FC match details of 2007-08 season when the league position was 16th and the result was FA of 0-3?",
"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": [
"27195"
],
"style": "rule"
} | {
"answer": [
"27195"
],
"id": "wikisql-15568",
"question": "How many were present for a result of D, venue H and Arsenal as opponents for Birmingham City FC 2007/08 season Match Details ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"29252"
],
"style": "rule"
} | {
"answer": [
"29252"
],
"id": "wikisql-15569",
"question": "What is the biggest attendance at venue H vs Liverpool with a score of D in Birmingham City FC match details of 2007-08 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"October 24"
],
"style": "rule"
} | {
"answer": [
"October 24"
],
"id": "wikisql-15574",
"question": "What date is the Ottawa visitor in the 1995-96 Detroit Red Wings October 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": [
"Sandwich s Cookie"
],
"style": "rule"
} | {
"answer": [
"Sandwich s Cookie"
],
"id": "wikisql-15583",
"question": "Name segment c with episode less than 179 and segment b of the s label under the 2009-2010 season 14 episodes of How It's Made?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Porcelain s Figurine"
],
"style": "rule"
} | {
"answer": [
"Porcelain s Figurine"
],
"id": "wikisql-15584",
"question": "List of How It's Made episodes, name segment c for ski goggles in season 14: 2009 2010 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"September 3, 2000"
],
"style": "rule"
} | {
"answer": [
"September 3, 2000"
],
"id": "wikisql-15656",
"question": "When does the Washington Redskins have 20-17 W as a result and 1-0 as a record for the 2000 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": [
"FedEx Field"
],
"style": "rule"
} | {
"answer": [
"FedEx Field"
],
"id": "wikisql-15657",
"question": "Which gaming site has December 24, 2000 as the date in the Washington Redskins 2000 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": [
"September 18, 2000"
],
"style": "rule"
} | {
"answer": [
"September 18, 2000"
],
"id": "wikisql-15658",
"question": "What is the date for the Dallas Cowboys as opponents for the Washington Redskins 2000 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": [
"84431"
],
"style": "rule"
} | {
"answer": [
"84431"
],
"id": "wikisql-15659",
"question": "What is the attendance for FedEx as a 3 week venue for the Washington Redskins 2000 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": [
"30°"
],
"style": "rule"
} | {
"answer": [
"30°"
],
"id": "wikisql-15662",
"question": "What is the longitude of Taurus in the seasons of the Burmese 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-15666",
"question": "Among Million Dollar Password, which rating greater than 5 has the lowest number of views in Season 1 (2008) at #3 with a 9 share?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15667",
"question": "Among the Brazilian Campeonato Brasileiro S'rie A of 2007, what is the highest game less than 9, 36 draws and more than 7 lost?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15668",
"question": "Among 2007 in Brazilian football 'campeonato' brasileiro S rie'A' of 2007, how many positions have figueirense as a team, with a played more than 38'! ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15669",
"question": "What is the biggest draw playing less than 38 in the Campeonato Brasileiro S rie A of Brazilian football in 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-15670",
"question": "In 2007 in the Campeonato Brasileiro Série A of Brazilian football, how many positions lost 9 draw, 5 difference and less than 14?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"September25,1938"
],
"style": "rule"
} | {
"answer": [
"September25,1938"
],
"id": "wikisql-15671",
"question": "What date did Episode 2-01 (42) air between Season 2 1938 1939 List of The Shadow episodes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-15672",
"question": "Who wrote Episode 2-15 (56) from List of The Shadow's Season 2 1938-1939?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12.9 (81)",
"5.9 (39)"
],
"style": "rule"
} | {
"answer": [
"12.9 (81)",
"5.9 (39)"
],
"id": "wikisql-15713",
"question": "What is the home team score for the team that has a home field of the Telstra Dome in the 22nd round of the 2008 AFL 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": [
"Sunday, 31 August"
],
"style": "rule"
} | {
"answer": [
"Sunday, 31 August"
],
"id": "wikisql-15714",
"question": "What is the date of the home team's score of 6.5 (41) for Round 22 of the 2008 AFL 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": [
"Sydney"
],
"style": "rule"
} | {
"answer": [
"Sydney"
],
"id": "wikisql-15715",
"question": "Which home team had an away Brisbane Lions team in Round 22 of the 2008 AFL 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": [
"AFL.com.au"
],
"style": "rule"
} | {
"answer": [
"AFL.com.au"
],
"id": "wikisql-15716",
"question": "What is the report for the team with a home turf of MCG and a home team score of 6.5 (41) in the 22nd round of the 2008 AFL 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": [
"Defense"
],
"style": "rule"
} | {
"answer": [
"Defense"
],
"id": "wikisql-15736",
"question": "What position does Drew Callander play for the Philadelphia Flyers in the 1976-77 draft picks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15737",
"question": "What round did Ray Kurpis play among the Philadelphia Flyers draft picks of the 1976-77 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": [
"Borovo [ disambiguation needed ]"
],
"style": "rule"
} | {
"answer": [
"Borovo [ disambiguation needed ]"
],
"id": "wikisql-15742",
"question": "In 1980 Yugoslavia national football team results, did (Yugoslavia) play against (Poland)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1982 WCQ"
],
"style": "rule"
} | {
"answer": [
"1982 WCQ"
],
"id": "wikisql-15744",
"question": "What kind of game was played in Ljubljana in 1980? Results of the national football team of Yugoslavia ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2:0"
],
"style": "rule"
} | {
"answer": [
"2:0"
],
"id": "wikisql-15745",
"question": "What is the result of the Yugoslav national football team match in 1980s in Belgrade?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15765",
"question": "What is the rank of the Australian player with 16+ wins among the 1998 PGA Tour leaders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15766",
"question": "What is the lowest rank of a player with winnings under $11,936,443 and 16+ wins on the 1998 PGA Tour Leaders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"11936443"
],
"style": "rule"
} | {
"answer": [
"11936443"
],
"id": "wikisql-15767",
"question": "What is the highest earning for a player among the 1998 PGA Tour leaders with 19+ 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": [
"Detroit"
],
"style": "rule"
} | {
"answer": [
"Detroit"
],
"id": "wikisql-15777",
"question": "Where was home with a record of 7–5–2 for the Detroit Cougars' 1927–28 season 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": [
"December 31"
],
"style": "rule"
} | {
"answer": [
"December 31"
],
"id": "wikisql-15778",
"question": "What date was the Detroit Cougars' record 8-6-3 for the 1927-28 season, 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": [
"3 – 3"
],
"style": "rule"
} | {
"answer": [
"3 – 3"
],
"id": "wikisql-15779",
"question": "What was the outcome when Pittsburgh hosted the Detroit Cougars in December of the 1927-28 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 15"
],
"style": "rule"
} | {
"answer": [
"December 15"
],
"id": "wikisql-15780",
"question": "What date in December were the NY Rangers home to the Detroit Cougars in the 1927-28 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": [
"Detroit"
],
"style": "rule"
} | {
"answer": [
"Detroit"
],
"id": "wikisql-15781",
"question": "What from the Detroit Cougars' December roster for the 1927-28 season, which visitor had a record of 7-5-3?",
"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": [
"Mtl. Maroons"
],
"style": "rule"
} | {
"answer": [
"Mtl. Maroons"
],
"id": "wikisql-15782",
"question": "Who was home when Detroit visited with a score of 4-1 for the Detroit Cougars' December 1927-28 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": [
"2–0"
],
"style": "rule"
} | {
"answer": [
"2–0"
],
"id": "wikisql-15785",
"question": "Which team won the U23 friendly with Keisuke Honda?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Winner"
],
"style": "rule"
} | {
"answer": [
"Winner"
],
"id": "wikisql-15796",
"question": "Which result under Yanina Wickmayer has a score of 6-2, 6-2 in singles: 17 (10-7) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18 November 2007"
],
"style": "rule"
} | {
"answer": [
"18 November 2007"
],
"id": "wikisql-15797",
"question": "What is the date of a winner's result and a score of 7-5, 6-4 for Yanina Wickmayer's singles: 17 (10-7) 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": [
"Koksijde , Belgium"
],
"style": "rule"
} | {
"answer": [
"Koksijde , Belgium"
],
"id": "wikisql-15798",
"question": "Among the singles: 17 (10–7), Yanina Wickmayer's tournament has a winning result and a clay surface and a score of 6–4, 6–1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Runner-up"
],
"style": "rule"
} | {
"answer": [
"Runner-up"
],
"id": "wikisql-15799",
"question": "What was the result of Mari Andersson's tournament in Yanina Wickmayer's singles: 17 (10–7) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Toronto"
],
"style": "rule"
} | {
"answer": [
"Toronto"
],
"id": "wikisql-15811",
"question": "Which home has a game number of 59 for the Toronto Maple Leafs 1992–93 season in February?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cleveland Browns"
],
"style": "rule"
} | {
"answer": [
"Cleveland Browns"
],
"id": "wikisql-15837",
"question": "Who did they play at Lincoln Financial Field at 8:30 ET after week 14 for the Philadelphia Eagles' 2008 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-15849",
"question": "What is the highest tie with losses less than 9 and starts 26 and wins less than 21 among most starts by the Notre Dame Fighting Irish Starting Quarterbacks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15850",
"question": "What winning % has the name of Tony Rice and wins less than 28 in the Notre Dame Fighting Irish Starting Quarterbacks list with the most starts?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15851",
"question": "What wins have a win% less than 0.8270000000000001, a name of Rick Mirer, and a tie less than 1 among Notre Dame Fighting Irish starting quarterbacks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15852",
"question": "Among the list of Notre Dames Fighting Irish starting quarterbacks with the most starts, how many losses have a name by Blair Kiel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18.0"
],
"style": "rule"
} | {
"answer": [
"18.0"
],
"id": "wikisql-15853",
"question": "What losses have a Jimmy Clausen name among Notre Dame Fighting Irish Starting Quarterbacks' most starts?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Belfour"
],
"style": "rule"
} | {
"answer": [
"Belfour"
],
"id": "wikisql-15855",
"question": "What attendance in the 1998-99 Stanley Cup Finals with more than 17,001 for the Dallas Stars season and a June 15 date had which decision?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 8",
"June 10",
"June 17"
],
"style": "rule"
} | {
"answer": [
"June 8",
"June 10",
"June 17"
],
"id": "wikisql-15856",
"question": "From 1998-99 Dallas Stars season what date happened the home ground of the Stanley Cup Finals in Dallas?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 12",
"June 15",
"June 19"
],
"style": "rule"
} | {
"answer": [
"June 12",
"June 15",
"June 19"
],
"id": "wikisql-15857",
"question": "Home of Buffalo was held in the Stanley Cup Finals on what date in the 1998-99 Dallas Stars 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": [
"18595"
],
"style": "rule"
} | {
"answer": [
"18595"
],
"id": "wikisql-15858",
"question": "Dallas visitors and a June 12 date had the highest attendance in the 1998–99 Dallas Stars season in the Stanley Cup 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": [
"1 February 1987"
],
"style": "rule"
} | {
"answer": [
"1 February 1987"
],
"id": "wikisql-15859",
"question": "On what date was the position less than 4 in Piraeus for Men's high jump (indoor)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"PKV Racing"
],
"style": "rule"
} | {
"answer": [
"PKV Racing"
],
"id": "wikisql-15860",
"question": "Which team had 64 laps and 13 points in the 2007 Gran Premio Tecate race?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15861",
"question": "How many laps did the team complete with a time/time down time of +1.906 racing the Gran Premio Tecate 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": [
"+ 2 Laps"
],
"style": "rule"
} | {
"answer": [
"+ 2 Laps"
],
"id": "wikisql-15862",
"question": "What is the time/retirement of the team starting from 14 at the 2007 Gran Premio Tecate race?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-15863",
"question": "Among the 2007 Gran Premio Tecate races, what is the lowest starting grid in pkv racing that had 13 points and less than 64 laps?",
"split": "train"
} |
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