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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-61850",
"question": "What is the lowest gp-gs value with an average g/g value of less than 234.3, with 410.80 as an effective value on the 2008 Ole Miss Rebels 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-61856",
"question": "What was the attendance during the game against the Philadelphia Eagles after week 9 for the San Diego Chargers 1989 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-61857",
"question": "The 1989 San Diego Chargers season is the total number of fans who attended the game prior to week 5 on October 8, 1989.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cold & Wet"
],
"style": "rule"
} | {
"answer": [
"Cold & Wet"
],
"id": "wikisql-61860",
"question": "What are the qualities of the Cancer sign among astrology and classical elements?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Scorpio"
],
"style": "rule"
} | {
"answer": [
"Scorpio"
],
"id": "wikisql-61861",
"question": "In astrology and the classical elements, what is the sign of the water element with a cold and dry (autumn/earth) north 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": [
"Hot & Dry (Summer/Fire)"
],
"style": "rule"
} | {
"answer": [
"Hot & Dry (Summer/Fire)"
],
"id": "wikisql-61862",
"question": "What is the southern season with cold & dry qualities and a cold & wet (winter/water) northern season among astrology and classical elements?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hot & Wet (Spring/Air)"
],
"style": "rule"
} | {
"answer": [
"Hot & Wet (Spring/Air)"
],
"id": "wikisql-61863",
"question": "What is the southern season of the Scorpio sign that has cold and wet qualities for astrology and the classical elements?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61883",
"question": "Among Ireland in the 1999 Eurovision Song Contest, what did Nigel Connell draw?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Maggie Toal & Andy McComish"
],
"style": "rule"
} | {
"answer": [
"Maggie Toal & Andy McComish"
],
"id": "wikisql-61884",
"question": "Who scored 57 points among Ireland in the 1999 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"37"
],
"style": "rule"
} | {
"answer": [
"37"
],
"id": "wikisql-61885",
"question": "How many points did Nigel Connell represent Ireland in the 1999 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-61886",
"question": "How many draws did Gary O'shaughnessy have among Ireland in the 1999 Eurovision Song Contest?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-61890",
"question": "What is the sum of silver with bronze greater than 0 and gold less than 0 at the 1971 World Judo Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-61891",
"question": "What is the average silver with a total less than 1 at the 1971 World Judo Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-61892",
"question": "What is the lowest rank with a nation that is East Germany at the 1971 World Judo Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-61893",
"question": "What is the total number of soccer stars at Kuntz Stadium among Indianapolis sports?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"F.C. Indiana (NPSL)"
],
"style": "rule"
} | {
"answer": [
"F.C. Indiana (NPSL)"
],
"id": "wikisql-61894",
"question": "What is the club founded more than 2000 for football at Kuntz Stadium among Indianapolis sports?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2007"
],
"style": "rule"
} | {
"answer": [
"2007"
],
"id": "wikisql-61895",
"question": "What is the tallest for Kuntz Stadium in sports in Indianapolis?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"May 21, 1993"
],
"style": "rule"
} | {
"answer": [
"May 21, 1993"
],
"id": "wikisql-61903",
"question": "What is the date the label was Alfa Records and a catalog of Alca-487 under Dramatic (album)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CD"
],
"style": "rule"
} | {
"answer": [
"CD"
],
"id": "wikisql-61904",
"question": "What is the format when Alfa Records is the label and there is a catalog of alca-9016 under Dramatic (album)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Japan"
],
"style": "rule"
} | {
"answer": [
"Japan"
],
"id": "wikisql-61905",
"question": "Which region has a catalog of Alca-487 under Dramatic (album)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"VRCL-2236"
],
"style": "rule"
} | {
"answer": [
"VRCL-2236"
],
"id": "wikisql-61906",
"question": "What is the catalog under Dramatic (album) if the format is ed remaster cd and a label from Village Records and a date of March 13, 2002?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CD"
],
"style": "rule"
} | {
"answer": [
"CD"
],
"id": "wikisql-61907",
"question": "What is the format for the Alca-487 catalog under Dramatic (Album)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"CD"
],
"style": "rule"
} | {
"answer": [
"CD"
],
"id": "wikisql-61908",
"question": "What is the format for the Alfa Records label and a catalog from Alca-9016 under Dramatic (album)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tennessee Titans"
],
"style": "rule"
} | {
"answer": [
"Tennessee Titans"
],
"id": "wikisql-61915",
"question": "Who was the opponent in the game with a score of W 13-12 for the 2008 Houston Texans 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 28, 2008"
],
"style": "rule"
} | {
"answer": [
"December 28, 2008"
],
"id": "wikisql-61916",
"question": "What was the date of the game against the Chicago Bears for the Houston Texans 2008 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": [
"German Bugatti Team"
],
"style": "rule"
} | {
"answer": [
"German Bugatti Team"
],
"id": "wikisql-61917",
"question": "Which 1931 Monaco Grand Prix competitor had the Bugatti T35B chassis and driver Heinrich-Joachim Von Morgen?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Maserati 26M"
],
"style": "rule"
} | {
"answer": [
"Maserati 26M"
],
"id": "wikisql-61918",
"question": "Which chassis was designed by Maserati when the competitor was Officine A. Maserati and the driver was Luigi Fagioli in the 1931 Monaco 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": [
"2.3 L8"
],
"style": "rule"
} | {
"answer": [
"2.3 L8"
],
"id": "wikisql-61919",
"question": "What was the engine when the chassis was a Bugatti T51 and the competitor was a privateer for the 1931 Monaco 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": [
"Guy Bouriat",
"Louis Chiron",
"Albert Divo",
"Achille Varzi"
],
"style": "rule"
} | {
"answer": [
"Guy Bouriat",
"Louis Chiron",
"Albert Divo",
"Achille Varzi"
],
"id": "wikisql-61920",
"question": "What was the driver of the 1931 Monaco T51 Grand Prix Bugatti when the chassis was Bugatti T51 and when the competitor was Automobile Ettore Bugatti?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Boris Ivanowski"
],
"style": "rule"
} | {
"answer": [
"Boris Ivanowski"
],
"id": "wikisql-61921",
"question": "Who was the driver at the 1931 Monaco Grand Prix, when was the designer Mercedes-Benz and when was the chassis Mercedes-Benz SSK?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rudolf Caracciola"
],
"style": "rule"
} | {
"answer": [
"Rudolf Caracciola"
],
"id": "wikisql-61922",
"question": "Who was the driver in the 1931 Monaco Grand Prix when the engine was 7.1 l6 and the chassis was Mercedes-Benz SSK l?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Law Society",
"Bar Council"
],
"style": "rule"
} | {
"answer": [
"Law Society",
"Bar Council"
],
"id": "wikisql-61928",
"question": "What is a regulator if conducting litigation is yes and if probate activities are yes for the Legal Services Act 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": [
"Yes",
"Yes",
"No"
],
"style": "rule"
} | {
"answer": [
"Yes",
"Yes",
"No"
],
"id": "wikisql-61929",
"question": "What are deeds reserved in the Legal Services Act 2007 if litigation is yes and if probate activities are no?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yes",
"Yes",
"Yes",
"Yes"
],
"style": "rule"
} | {
"answer": [
"Yes",
"Yes",
"Yes",
"Yes"
],
"id": "wikisql-61930",
"question": "What is Legal Services Act 2007 if Oath Taking, Public Rights are Yes and Reserved Instruments are Yes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yes",
"Yes"
],
"style": "rule"
} | {
"answer": [
"Yes",
"Yes"
],
"id": "wikisql-61931",
"question": "What are reserved deeds if conducting litigation is yes and if probate activities are yes for the Legal Services Act 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": [
"No"
],
"style": "rule"
} | {
"answer": [
"No"
],
"id": "wikisql-61932",
"question": "What are probate activities when reserved deeds are no and when the regulator is the Chartered Institute of Legal Executives under the Legal Services Act 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": [
"No"
],
"style": "rule"
} | {
"answer": [
"No"
],
"id": "wikisql-61933",
"question": "Legal Services Act 2007 what are probate activities, when notarial activities are no, when litigation is yes and when regulator is Association of Law Costs Draftsmen",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"51175"
],
"style": "rule"
} | {
"answer": [
"51175"
],
"id": "wikisql-61934",
"question": "In the 1968 San Diego Chargers season, what is the highest attendance for the game after week 1 against the New York Jets?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Soviet Union"
],
"style": "rule"
} | {
"answer": [
"Soviet Union"
],
"id": "wikisql-61937",
"question": "List of grenade launchers with country of origin if the type is disposable, the primary cartridge is 105mm and the year of introduction is less than 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": [
"United States"
],
"style": "rule"
} | {
"answer": [
"United States"
],
"id": "wikisql-61938",
"question": "What is the country of origin if the year of introduction is 1977 for the grenade launcher 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": [
"Russia"
],
"style": "rule"
} | {
"answer": [
"Russia"
],
"id": "wikisql-61939",
"question": "From the list of grenade launchers, what is the country of origin if the year of introduction is greater than 1985 and if the primary cartridge is 125mm?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61940",
"question": "From the grenade launcher list, if the country of origin is the Soviet Union, if the type is reusable, if the primary cartridge is 40mm, and if the name/designation is RPG-29, what is the total number of years of introduction?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Romania"
],
"style": "rule"
} | {
"answer": [
"Romania"
],
"id": "wikisql-61941",
"question": "Who was at home in the Antim Cup with a 9-9 victory in the Bucharest venue?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 March"
],
"style": "rule"
} | {
"answer": [
"10 March"
],
"id": "wikisql-61942",
"question": "On what date was Romania at home to the Bucharest venue with a score of 13-19 in the Antim 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": [
"Romania"
],
"style": "rule"
} | {
"answer": [
"Romania"
],
"id": "wikisql-61943",
"question": "Who was home at 13-19 in the Antim 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": [
"2–3"
],
"style": "rule"
} | {
"answer": [
"2–3"
],
"id": "wikisql-61948",
"question": "What was the total for NK Zagreb in a game against Koper?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Champion"
],
"style": "rule"
} | {
"answer": [
"Champion"
],
"id": "wikisql-61949",
"question": "Which Canadian championship among Toronto FC seasons had CONCACAF Champions League semifinals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Playoff appearances"
],
"style": "rule"
} | {
"answer": [
"0 Playoff appearances"
],
"id": "wikisql-61950",
"question": "In which Toronto FC regular season did the playoffs of the 0 mls cups take place?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61951",
"question": "How was the result with a goal of 16 for Osael Romero?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"South Platte River"
],
"style": "rule"
} | {
"answer": [
"South Platte River"
],
"id": "wikisql-61955",
"question": "What drain has an inland area of 055 1,497 km 2 578 miles 2 from the Colorado River Basins?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"056 2,107km 2 814mi 2"
],
"style": "rule"
} | {
"answer": [
"056 2,107km 2 814mi 2"
],
"id": "wikisql-61956",
"question": "What is the total area of the Arkansas River outlet with a % In-State of a021 100% under the Colorado drainage basins?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"003 57,680km 2 22,270mi 2"
],
"style": "rule"
} | {
"answer": [
"003 57,680km 2 22,270mi 2"
],
"id": "wikisql-61957",
"question": "With a Colorado River discharge and an 84.8% instate percentage, what is the instate area for Colorado drainage basins?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"045 2,149km 2 830mi 2"
],
"style": "rule"
} | {
"answer": [
"045 2,149km 2 830mi 2"
],
"id": "wikisql-61958",
"question": "What is the inland area under the Colorado River Basins with an outlet of the South Platte River and the Big Thompson River as a drainage basin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"066 1,842km 2 711mi 2"
],
"style": "rule"
} | {
"answer": [
"066 1,842km 2 711mi 2"
],
"id": "wikisql-61959",
"question": "With a domestic area of 053 1,654 km 2 639 mi 2, what is the total area of Colorado's drainage basins?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rio Chama"
],
"style": "rule"
} | {
"answer": [
"Rio Chama"
],
"id": "wikisql-61960",
"question": "What is the name of the basin with an inland area of 071 238 km 2 92 mi 2 in the Colorado River Basin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-61963",
"question": "Can you tell me the lowest week under 34,336 viewers for the San Diego Chargers 1985 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": [
"RTD 103.4126.0"
],
"style": "rule"
} | {
"answer": [
"RTD 103.4126.0"
],
"id": "wikisql-61976",
"question": "Which catalog was published in In My Memory (song) in Germany?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Netherlands"
],
"style": "rule"
} | {
"answer": [
"Netherlands"
],
"id": "wikisql-61977",
"question": "In which region was the magik muzik 805-5 catalog published under In My Memory (song)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2004"
],
"style": "rule"
} | {
"answer": [
"2004"
],
"id": "wikisql-61978",
"question": "What is the total number of dates the catalog nebbc003 was given in In My Memory (song)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61979",
"question": "What is the highest population per km² (2009) in western province with an area (km²) greater than 5,475 among provinces of Solomon Islands?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61981",
"question": "What is the lowest 1999 census with an area (km²) of 4,225 and a population per km² (2009) of less than 32.6 among the provinces of Solomon Islands?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Penske"
],
"style": "rule"
} | {
"answer": [
"Penske"
],
"id": "wikisql-61982",
"question": "From Ryan Newman's list, which team was 2005?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-61983",
"question": "Before 2008, if the manufacturer is Dodge and the start is under 9, what is Ryan Newman's highest finishing time?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.0"
],
"style": "rule"
} | {
"answer": [
"1.0"
],
"id": "wikisql-61984",
"question": "What is Ryan Newman's average finish time when the team is Penske and they start under 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": [
"12"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikisql-61985",
"question": "What is the sum of gold if total is greater than 2, if bronze is greater than 1 and if silver is less than 1 for the 1981 World Wrestling Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-61986",
"question": "What is the gold total if the total is less than 1 at the 1981 World Wrestling Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.0"
],
"style": "rule"
} | {
"answer": [
"1.0"
],
"id": "wikisql-61987",
"question": "What is the average total for the 1981 World Wrestling Championships if gold is 0 and if nation is Iran?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-61988",
"question": "What is the sum of Total if Nation is West Germany and if Gold is greater than 2 at the 1981 World Wrestling Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-61989",
"question": "What is the average total for the 1981 World Wrestling Championships if gold is 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": [
"Jack Jurek"
],
"style": "rule"
} | {
"answer": [
"Jack Jurek"
],
"id": "wikisql-62006",
"question": "Who is the runner-up from Milwaukee in the PBA Bowling Tour: 2006-07 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": [
"Standard"
],
"style": "rule"
} | {
"answer": [
"Standard"
],
"id": "wikisql-62007",
"question": "What was the oil pattern for runner-up Pete Weber from the PBA Bowling Tour: 2006-07 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": [
"Fountain Valley"
],
"style": "rule"
} | {
"answer": [
"Fountain Valley"
],
"id": "wikisql-62008",
"question": "In which city was the Dick Weber Open held under the PBA Bowling Tour: 2006–07 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": [
"Council Bluffs, IA"
],
"style": "rule"
} | {
"answer": [
"Council Bluffs, IA"
],
"id": "wikisql-62009",
"question": "Which city had the chameleon oil pattern in the Go RV'ing Classic in the PBA Bowling Tour: 2006-07 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": [
"Junior race",
"Junior race",
"Senior race",
"Team competition",
"Long race",
"Team"
],
"style": "rule"
} | {
"answer": [
"Junior race",
"Junior race",
"Senior race",
"Team competition",
"Long race",
"Team"
],
"id": "wikisql-62010",
"question": "What grades are there for Leonard Patrick Komon for years before 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": [
"World Cross Country Championships"
],
"style": "rule"
} | {
"answer": [
"World Cross Country Championships"
],
"id": "wikisql-62011",
"question": "Which competition took place a year later than 2009 with team notes under Leonard Patrick Komon?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1st"
],
"style": "rule"
} | {
"answer": [
"1st"
],
"id": "wikisql-62012",
"question": "What was Leonard Patrick Komon's position like in 2010 with team notes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13196"
],
"style": "rule"
} | {
"answer": [
"13196"
],
"id": "wikisql-62018",
"question": "How many viewers did the away team 1.13.12 (99) score in the 2004 Wizard Home Loans 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": [
"1.22.9 (150)"
],
"style": "rule"
} | {
"answer": [
"1.22.9 (150)"
],
"id": "wikisql-62019",
"question": "What is the away team score compared to the home team score of 2,4,6 (48) for the 2004 Wizard Home Loans 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-62020",
"question": "What is the home team with more than 13,905 spectators at Telstra Stadium Ground in the 2004 Wizard Home Loans 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": [
"24101"
],
"style": "rule"
} | {
"answer": [
"24101"
],
"id": "wikisql-62021",
"question": "What is the West Coast home team's lowest attendance at the 2004 Wizard Home Loans 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": [
"Bundaberg Rum Stadium"
],
"style": "rule"
} | {
"answer": [
"Bundaberg Rum Stadium"
],
"id": "wikisql-62022",
"question": "What is the bottom of the Geelong away team in the 2004 Wizard Home Loans 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": [
"2010"
],
"style": "rule"
} | {
"answer": [
"2010"
],
"id": "wikisql-62036",
"question": "What was the last year that Ana Cabecinha was hosted in Barcelona, Spain?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"13th"
],
"style": "rule"
} | {
"answer": [
"13th"
],
"id": "wikisql-62037",
"question": "What was the result for the 20K after 2008 in Ana Cabecinha when the venue was Metz, France?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.712 (6)"
],
"style": "rule"
} | {
"answer": [
"8.712 (6)"
],
"id": "wikisql-62039",
"question": "What is the swimsuit score if the interview score is 8.626(5) for Miss USA 1989?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.432 (9)"
],
"style": "rule"
} | {
"answer": [
"8.432 (9)"
],
"id": "wikisql-62040",
"question": "What is the swimsuit score if the semifinal point average is 8.367 (10) for Miss USA 1989?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.659 (4)"
],
"style": "rule"
} | {
"answer": [
"8.659 (4)"
],
"id": "wikisql-62041",
"question": "What is the preliminary average score if the evening dress score is 8.774 (6) for Miss USA 1989?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.829 (2)"
],
"style": "rule"
} | {
"answer": [
"8.829 (2)"
],
"id": "wikisql-62042",
"question": "What is the preliminary average score if the Miss USA 1989 interview score is 8,600 (6)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.712 (6)"
],
"style": "rule"
} | {
"answer": [
"8.712 (6)"
],
"id": "wikisql-62043",
"question": "What is the swimsuit score if the evening dress score is 9.165(3) for Miss USA 1989?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7.792 (10)"
],
"style": "rule"
} | {
"answer": [
"7.792 (10)"
],
"id": "wikisql-62044",
"question": "From the Miss USA 1989 list, what is the interview score if the preliminary average is 8.529 (6)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mexico City, Mexico",
"Mexico City, Mexico",
"Mexico City, Mexico"
],
"style": "rule"
} | {
"answer": [
"Mexico City, Mexico",
"Mexico City, Mexico",
"Mexico City, Mexico"
],
"id": "wikisql-62051",
"question": "Where will Isidoro Díaz host the 1966 FIFA World Cup qualifier on May 7, 1965?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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",
"Win",
"Win"
],
"style": "rule"
} | {
"answer": [
"Win",
"Win",
"Win"
],
"id": "wikisql-62052",
"question": "What was the result of Isidoro Díaz 1962 for FIFA World Cup qualifier 1966 in Mexico City, Mexico and scoring over 8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"March 12, 1965"
],
"style": "rule"
} | {
"answer": [
"March 12, 1965"
],
"id": "wikisql-62053",
"question": "When was the venue Mexico City, Mexico with a goal of 8 under Isidoro Díaz ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"73-68-68-69=278"
],
"style": "rule"
} | {
"answer": [
"73-68-68-69=278"
],
"id": "wikisql-62069",
"question": "Can you tell me the score the United States country has, t2's place and Tom Watson's player in the 1978 Masters tournament.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Danio rerio"
],
"style": "rule"
} | {
"answer": [
"Danio rerio"
],
"id": "wikisql-62070",
"question": "Which species has a length (bp/aa) of 1154bp/358aa under CCDC113?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"XM_003998086.1 / 410983617"
],
"style": "rule"
} | {
"answer": [
"XM_003998086.1 / 410983617"
],
"id": "wikisql-62071",
"question": "Which NCBI accession number (mRNA/protein) has 69% protein identity for CCDC113?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"NM_014157.3 / NP_054876.2"
],
"style": "rule"
} | {
"answer": [
"NM_014157.3 / NP_054876.2"
],
"id": "wikisql-62072",
"question": "What is the NCBI accession number (mRNA/protein) for the species Homo sapiens under CCDC113?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Homo sapiens"
],
"style": "rule"
} | {
"answer": [
"Homo sapiens"
],
"id": "wikisql-62073",
"question": "Which species under CCDC113 has the common name listed as human?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mus musculus"
],
"style": "rule"
} | {
"answer": [
"Mus musculus"
],
"id": "wikisql-62074",
"question": "Which species has the common name of the species listed as CCDC113's mouse?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"NM_172914.2 / NP_766502.1"
],
"style": "rule"
} | {
"answer": [
"NM_172914.2 / NP_766502.1"
],
"id": "wikisql-62075",
"question": "What is the NCBI accession number (mRNA/protein) for the Mus musculus species for CCDC113?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (67-75-69-63=274)"
],
"style": "rule"
} | {
"answer": [
"–14 (67-75-69-63=274)"
],
"id": "wikisql-62076",
"question": "What was the winning result when Neal Briggs finished second for Paul Broadhurst?",
"split": "train"
} |
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