data_source stringclasses 1
value | agent_name stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|---|
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-53555",
"question": "What is the average operation at RapidKL Rail starting with a length of ampang and over 27 stations?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53569",
"question": "What is the smallest withdrawn value with a GNRI greater than 172, name of Croagh Patrick and converted to GNRI Class S before 1939?",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": [
"Fresno"
],
"style": "rule"
} | {
"answer": [
"Fresno"
],
"id": "wikisql-53570",
"question": "Where was the 30,000 crowd California bowl game played among the Fresno State Bulldogs roster bowl 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": [
"Anaheim Stadium"
],
"style": "rule"
} | {
"answer": [
"Anaheim Stadium"
],
"id": "wikisql-53571",
"question": "List of Fresno State Bulldogs bowl games, which stadium had a Cal State Fullerton Titans opponent?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Not Classified"
],
"style": "rule"
} | {
"answer": [
"Not Classified"
],
"id": "wikisql-53572",
"question": "What is the time/retirement for Thierry Boutsen in the 1986 French Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"GAA Grounds, Douglas"
],
"style": "rule"
} | {
"answer": [
"GAA Grounds, Douglas"
],
"id": "wikisql-53573",
"question": "Which pitch is on the Isle of Man in Lancashire GAA?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"St Patrick`s"
],
"style": "rule"
} | {
"answer": [
"St Patrick`s"
],
"id": "wikisql-53574",
"question": "What is the English name of the location in Chester under Lancashire GAA?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Manchester"
],
"style": "rule"
} | {
"answer": [
"Manchester"
],
"id": "wikisql-53575",
"question": "Where is the Old Bedians Pitch located under Lancashire GAA?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9362487892"
],
"style": "rule"
} | {
"answer": [
"9362487892"
],
"id": "wikisql-53576",
"question": "What is the October 15, 2004 catalog under In Love and Death?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Reprise"
],
"style": "rule"
} | {
"answer": [
"Reprise"
],
"id": "wikisql-53577",
"question": "In Love and Death, do you name the label for January 24, 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9362487892"
],
"style": "rule"
} | {
"answer": [
"9362487892"
],
"id": "wikisql-53578",
"question": "Name the October 15, 2004 catalog under In Love and Death?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 28, 2004",
"October 6, 2004",
"October 15, 2004",
"January 24, 2005"
],
"style": "rule"
} | {
"answer": [
"September 28, 2004",
"October 6, 2004",
"October 15, 2004",
"January 24, 2005"
],
"id": "wikisql-53579",
"question": "Name the date that is a CD under In Love and Death?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-53580",
"question": "Name the region for December 7, 2004 in In Love and Death?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9362487892"
],
"style": "rule"
} | {
"answer": [
"9362487892"
],
"id": "wikisql-53581",
"question": "Name the In Love and Death catalog for Australia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mellman Group (D)"
],
"style": "rule"
} | {
"answer": [
"Mellman Group (D)"
],
"id": "wikisql-53596",
"question": "Which source of the US Senate election in Georgia, 2008 has a Knight of 2%?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5%"
],
"style": "rule"
} | {
"answer": [
"5%"
],
"id": "wikisql-53597",
"question": "Which Lanier has a Cardwell of 20% in the 2008 Georgia US Senate election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"31%"
],
"style": "rule"
} | {
"answer": [
"31%"
],
"id": "wikisql-53598",
"question": "Which Martin is in the 2008 US Senate election in Georgia on July 8th and 9th, 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Strategic Vision (R)"
],
"style": "rule"
} | {
"answer": [
"Strategic Vision (R)"
],
"id": "wikisql-53599",
"question": "What source has a Cardwell of 20% for the 2008 Georgia US Senate election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17%"
],
"style": "rule"
} | {
"answer": [
"17%"
],
"id": "wikisql-53600",
"question": "Which Martin has a 6% lanier in the 2008 Georgia US Senate election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14%"
],
"style": "rule"
} | {
"answer": [
"14%"
],
"id": "wikisql-53601",
"question": "Which Cardwell has an inside advantage and a 1% jumper in the 2008 Georgia US Senate election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2012-12-05 5 December 2012"
],
"style": "rule"
} | {
"answer": [
"2012-12-05 5 December 2012"
],
"id": "wikisql-53624",
"question": "What is the opening date of the musical at the Adelphi Theater from the West End Theaters list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2013-11-01 1 November 2013"
],
"style": "rule"
} | {
"answer": [
"2013-11-01 1 November 2013"
],
"id": "wikisql-53625",
"question": "What opening date has a capacity of 100 for west end theater?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Qld"
],
"style": "rule"
} | {
"answer": [
"Qld"
],
"id": "wikisql-53629",
"question": "Among the members of the Australian House of Representatives, 1996-1998, which state was Hon David Beddall a member of?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"NSW"
],
"style": "rule"
} | {
"answer": [
"NSW"
],
"id": "wikisql-53630",
"question": "In which state was the electorate for members of the Australian House of Representatives 1996-1998 Fowler?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53635",
"question": "What is the overall line-up with less than 2 laps for the 1973 South African Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Clutch",
"Accident"
],
"style": "rule"
} | {
"answer": [
"Clutch",
"Accident"
],
"id": "wikisql-53636",
"question": "How much time is needed for less than 35 laps and less than 10 starts for the 1973 South African Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rheinpark Stadion , Vaduz , Liechtenstein"
],
"style": "rule"
} | {
"answer": [
"Rheinpark Stadion , Vaduz , Liechtenstein"
],
"id": "wikisql-53637",
"question": "What is the venue for goal number 1 for Aaron Ramsey?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"221"
],
"style": "rule"
} | {
"answer": [
"221"
],
"id": "wikisql-53645",
"question": "How many sides are connected to Blåljus! for isbn 91-7713-035-9 ?",
"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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-53656",
"question": "What are the most gold medals a team has with less than 2 silver medals, more than 7 total medals and less than 8 bronze medals of badminton at the Commonwealth 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-53657",
"question": "How many bronze medals does Scotland, who have less than 7 medals in total, have for badminton at the Commonwealth 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-53658",
"question": "What are the average silver medals in badminton at the Commonwealth Games that a team with 1 gold and more than 5 bronzes 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-53659",
"question": "How many bronze medals does a team have in badminton at the Commonwealth Games with more than 0 silver medals, 7 medals in total and less than 1 gold medal?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53660",
"question": "What is the highest rank for a team with 1 silver and less than 5 bronze medals in badminton at the Commonwealth 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": [
"4-3 (14 innings)"
],
"style": "rule"
} | {
"answer": [
"4-3 (14 innings)"
],
"id": "wikisql-53662",
"question": "On June 14, 2002, during the Florida Marlins season, what was the Devil Rays winning score at Pro Player Stadium?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4-1"
],
"style": "rule"
} | {
"answer": [
"4-1"
],
"id": "wikisql-53663",
"question": "What was the 2002 Florida Marlins season standings on June 16?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Devil Rays"
],
"style": "rule"
} | {
"answer": [
"Devil Rays"
],
"id": "wikisql-53664",
"question": "Who won the Florida Marlins 2002 season 4-1?",
"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": [
"3-2"
],
"style": "rule"
} | {
"answer": [
"3-2"
],
"id": "wikisql-53665",
"question": "What was the June 29 result for the Florida Marlins 2002 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": [
"3-2"
],
"style": "rule"
} | {
"answer": [
"3-2"
],
"id": "wikisql-53666",
"question": "What was the outcome on June 29 when the Devil Rays lost the 2002 season to the Florida Marlins?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4-3 (14 innings)"
],
"style": "rule"
} | {
"answer": [
"4-3 (14 innings)"
],
"id": "wikisql-53667",
"question": "What was the result of the game at Pro Player Stadium on June 14, 2002 during the Florida Marlins 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-53671",
"question": "What is the average starting grid for Jack Brabham over 32 laps in the 1964 Belgian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Win"
],
"style": "rule"
} | {
"answer": [
"Win"
],
"id": "wikisql-53672",
"question": "Which res has a decision method (unanimous) and an opponent from Wataru Sakata under Mario Sperry?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53673",
"question": "What is the record for Mario Sperry's Res victory in Extreme Battle Event 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-53681",
"question": "What is the highest total for a team with fewer than 12 bronze, 1 silver, and 0 gold medals at the Women's Pan American Volleyball Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-53682",
"question": "What is the largest total for a team with 1 bronze, 0 gold, and a 7th place finish at the Women's Pan American Volleyball Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-53683",
"question": "What is the number of bronze medals at Pan American Women's Volleyball Cup if there are less than 0 silver medals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53684",
"question": "What is the highest number of silver medals for a team totaling less than 1 at the Women's Pan American Volleyball Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"R 11"
],
"style": "rule"
} | {
"answer": [
"R 11"
],
"id": "wikisql-53696",
"question": "What R 51 O value corresponds to a D 42 O value of r 19 in the 1996 US Senate election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"R 3"
],
"style": "rule"
} | {
"answer": [
"R 3"
],
"id": "wikisql-53697",
"question": "What is the value of D 43 O, which has a corresponding R 53 + value of r 8 in the 1996 United States Senate election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"R 2"
],
"style": "rule"
} | {
"answer": [
"R 2"
],
"id": "wikisql-53698",
"question": "What is the value of D 42 O, which has an R 53 + value of r 8 in the 1996 US Senate election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26 April 2000"
],
"style": "rule"
} | {
"answer": [
"26 April 2000"
],
"id": "wikisql-53711",
"question": "What was the date of the match between Laurent Blanc and Manchester United where the result was 3-2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8 September 1993"
],
"style": "rule"
} | {
"answer": [
"8 September 1993"
],
"id": "wikisql-53712",
"question": "What was the date of the game with a goal of 7 for Laurent Blanc?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3–2"
],
"style": "rule"
} | {
"answer": [
"3–2"
],
"id": "wikisql-53724",
"question": "What was the result of the 1923-24 Ottawa Senators season on January 12?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alaska Aces"
],
"style": "rule"
} | {
"answer": [
"Alaska Aces"
],
"id": "wikisql-53726",
"question": "Which team is number 14 and had a franchise in the eliminated Philippine Basketball Association jersey numbers between 1993 and 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 Caidic Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Allan Caidic Category:Articles with hCards"
],
"id": "wikisql-53727",
"question": "Who was the player in position G with the Petron Blaze Boosters and retired from the Philippine Basketball Association's list of retired jersey numbers in 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": [
"1987-97"
],
"style": "rule"
} | {
"answer": [
"1987-97"
],
"id": "wikisql-53728",
"question": "List of retired Philippine Basketball Association jersey numbers, how many years did the team in slot number 9 have a franchise?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"35"
],
"style": "rule"
} | {
"answer": [
"35"
],
"id": "wikisql-53734",
"question": "How many laps for a grid greater than 1 with a time/disabled half-wave for the 1971 Austrian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16.0"
],
"style": "rule"
} | {
"answer": [
"16.0"
],
"id": "wikisql-53735",
"question": "What is the average starting grid in the 1971 Austrian Grand Prix with over 8 laps, a time/retirement of +2 laps and Peter Gethin at the wheel?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53736",
"question": "What is the low starting grid of the 1971 Austrian Grand Prix with brm and over 54 laps?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Athens, Georgia",
"Commerce, Georgia",
"Cornelia, Georgia",
"Gainesville, Georgia",
"Black Mountain, North Carolina",
"Hendersonville, North Carolina",
"Valdese, North Carolina"
],
"style": "rule"
} | {
"answer": [
"Athens, Georgia",
"Commerce, Georgia",
"Cornelia, Georgia",
"Gainesville, Georgia",
"Black Mountain, North Carolina",
"Hendersonville, North Carolina",
"Valdese, North Carolina"
],
"id": "wikisql-53737",
"question": "Which city has greater frequency than 94.1 on WLFJ-F... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"92.7"
],
"style": "rule"
} | {
"answer": [
"92.7"
],
"id": "wikisql-53738",
"question": "What is the frequency MHz for the station with call sign w224bn from WLFJ-FM?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"D"
],
"style": "rule"
} | {
"answer": [
"D"
],
"id": "wikisql-53739",
"question": "What class is Black Mountain, North Carolina in WLFJ-FM?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"FCC"
],
"style": "rule"
} | {
"answer": [
"FCC"
],
"id": "wikisql-53740",
"question": "What is the FCC frequency for the w262al transmitter that has a frequency greater than 92.7MHz under WLFJ-FM?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14"
],
"style": "rule"
} | {
"answer": [
"14"
],
"id": "wikisql-53741",
"question": "Which 1973 German Grand Prix graduate has a time/gap of +1:24.3?",
"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": [
"14"
],
"style": "rule"
} | {
"answer": [
"14"
],
"id": "wikisql-53742",
"question": "What is the low lap total for Henri Pescarolo with a grade greater than 6 in the 1973 German Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53743",
"question": "What is the low total lap count for a grid larger than 16 and a time/gap of +3:27.3 for the 1973 German Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Wonder Stories"
],
"style": "rule"
} | {
"answer": [
"Wonder Stories"
],
"id": "wikisql-53744",
"question": "Name what was published in July 1934 under planetary series with Mars set?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Dec. 1935"
],
"style": "rule"
} | {
"answer": [
"Dec. 1935"
],
"id": "wikisql-53745",
"question": "Do you give the release date if the fictional date is 2112 for the Planetary 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": [
" The Mad Moon "
],
"style": "rule"
} | {
"answer": [
" The Mad Moon "
],
"id": "wikisql-53746",
"question": "Name the title if the main characters are Grant Calthorpe, Lee Neilan and the amazing stories published in the Planetary 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": [
"Decision (split)"
],
"style": "rule"
} | {
"answer": [
"Decision (split)"
],
"id": "wikisql-53754",
"question": "What method did Adriano Martins have as an opponent and a time of 5:00 for Keita Nakamura?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53755",
"question": "How many total rounds has Keita Nakamura played when the opponent was Drew Fickett and it is 5:00?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Linebacker"
],
"style": "rule"
} | {
"answer": [
"Linebacker"
],
"id": "wikisql-53761",
"question": "What position did the East Texas State player play in the 1991 Tampa Bay Buccaneers 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": [
"1989-09-10"
],
"style": "rule"
} | {
"answer": [
"1989-09-10"
],
"id": "wikisql-53762",
"question": "What day did they play prior to week 2 of the 1989 New York Jets 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": [
"55"
],
"style": "rule"
} | {
"answer": [
"55"
],
"id": "wikisql-53773",
"question": "Tell me the laps for 1960 Portuguese Grand Prix 3 grids?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53776",
"question": "Tell me the sum of the interviews for evening dress more than 8.37 and average of 8.363 for Miss Teen USA 1991?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53777",
"question": "Give the total number of evening dress swimsuits less than 8.21 and the average of 8.453 with interview less than 9.09 for Miss Teen USA 1991?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alabama"
],
"style": "rule"
} | {
"answer": [
"Alabama"
],
"id": "wikisql-53778",
"question": "Name the state with an evening gown greater than an 8.86 and an interview less than an 8.7 and a bathing suit less than an 8.96 at Miss Teen USA 1991?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53793",
"question": "In the East Atlantic Gymnastics League, what is the lowest year of attendance in the city of College Park in conference championships less than 0?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1995"
],
"style": "rule"
} | {
"answer": [
"1995"
],
"id": "wikisql-53794",
"question": "What is the final year in the East Atlantic Gymnastics League connected to a Conference Championships of 5 and a University of North Carolina institution?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1995"
],
"style": "rule"
} | {
"answer": [
"1995"
],
"id": "wikisql-53795",
"question": "From the East Atlantic Gymnastics League, what's the year tied with a conference championship of 5 and a nickname of Wolf Pack?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"V (05.503)"
],
"style": "rule"
} | {
"answer": [
"V (05.503)"
],
"id": "wikisql-53803",
"question": "In TransIT, tell me the model with fuel or propulsion of the diesel and orion manufacturer in 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-53804",
"question": "What is the sum total for the slf-230 model before 2011 for TransIT?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"917–921"
],
"style": "rule"
} | {
"answer": [
"917–921"
],
"id": "wikisql-53805",
"question": "Name the fleet series with a number of 5 under TransIT ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6 - 7 Aug"
],
"style": "rule"
} | {
"answer": [
"6 - 7 Aug"
],
"id": "wikisql-53806",
"question": "When was the Mallala race held as part of the 1994 Australian Manufacturers' 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": [
"Paul Morris"
],
"style": "rule"
} | {
"answer": [
"Paul Morris"
],
"id": "wikisql-53807",
"question": "Which driver won the 1994 Australian Manufacturers' Championship at Phillip Island Grand Prix Circuit?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tony Longhurst"
],
"style": "rule"
} | {
"answer": [
"Tony Longhurst"
],
"id": "wikisql-53808",
"question": "What was the name of the driver who won the 1994 Australian Manufacturers' Championship Lakeside 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": [
"Earl West"
],
"style": "rule"
} | {
"answer": [
"Earl West"
],
"id": "wikisql-53809",
"question": "Who was the clerk of Clayton Township, Genesee County, Michigan when Albert Lewis was the highway commissioner?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alfred Pond"
],
"style": "rule"
} | {
"answer": [
"Alfred Pond"
],
"id": "wikisql-53810",
"question": "Who was the mayor of Clayton Township, Genesee County, Michigan in 1846?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Trustees"
],
"style": "rule"
} | {
"answer": [
"Trustees"
],
"id": "wikisql-53811",
"question": "When the Treasurer was Treasurer in Clayton Township, Genesee County, Michigan, who was the Highway Commissioner?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"46031"
],
"style": "rule"
} | {
"answer": [
"46031"
],
"id": "wikisql-53817",
"question": "What is the lowest viewership for week 2 of the 1977 Los Angeles Rams season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"+1.977"
],
"style": "rule"
} | {
"answer": [
"+1.977"
],
"id": "wikisql-53822",
"question": "What was the time in the 3rd grid driver for the 2002 Belgian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Lap"
],
"style": "rule"
} | {
"answer": [
"+1 Lap"
],
"id": "wikisql-53823",
"question": "What was the downtime of someone who did 43 laps on a grip of 18 for the 2002 Belgian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"44"
],
"style": "rule"
} | {
"answer": [
"44"
],
"id": "wikisql-53824",
"question": "What was the fewest laps for someone who finished +18.445 at the 2002 Belgian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-53838",
"question": "What nationality is the goaltender in Round 7 of the 2007-08 Buffalo Sabers season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.8k killed, Millions homeless"
],
"style": "rule"
} | {
"answer": [
"1.8k killed, Millions homeless"
],
"id": "wikisql-53843",
"question": "What is the scale of the catastrophe for humanity first in the USA?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"> 10,000"
],
"style": "rule"
} | {
"answer": [
"> 10,000"
],
"id": "wikisql-53844",
"question": "How many people were served by Humanity First in 1997?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2005"
],
"style": "rule"
} | {
"answer": [
"2005"
],
"id": "wikisql-53845",
"question": "In what year did the United States experience a disaster under Humanity First?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Medical, Food, Shelter"
],
"style": "rule"
} | {
"answer": [
"Medical, Food, Shelter"
],
"id": "wikisql-53846",
"question": "In the disaster that helped 1,000 people in humanity. First, what was the nature of the help?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 July 2007"
],
"style": "rule"
} | {
"answer": [
"1 July 2007"
],
"id": "wikisql-53864",
"question": "When was the coaching appointment date replaced by Lucien Favre in the 2007/08 Bundesliga?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"28 September 2007"
],
"style": "rule"
} | {
"answer": [
"28 September 2007"
],
"id": "wikisql-53865",
"question": "When is the deadline for outgoing manager Petrik Sander for the 2007/08 Bundesliga?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 July 2007"
],
"style": "rule"
} | {
"answer": [
"1 July 2007"
],
"id": "wikisql-53866",
"question": "When was the date for VFL Wolfsburg in the Bundesliga 2007/08?",
"split": "train"
} |
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