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": [
"Defensive line"
],
"style": "rule"
} | {
"answer": [
"Defensive line"
],
"id": "wikisql-33138",
"question": "What position does Robert Nkemdiche play in the 2012 USA Today All-USA High School Football First Team Defense?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-33139",
"question": "What is Reuben Foster's College among the USA's First Defense 2012 teams today All-USA high school 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": [
"Defensive line"
],
"style": "rule"
} | {
"answer": [
"Defensive line"
],
"id": "wikisql-33140",
"question": "What position on today's US All-USA high school football team does the Muscle Shoals, Alabama player play on the 2012 first line defense 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": [
"Andrew Brown ‡"
],
"style": "rule"
} | {
"answer": [
"Andrew Brown ‡"
],
"id": "wikisql-33141",
"question": "Which player among USA Today, First Defense 2012 team All-USA high school football team, is attending college in Virginia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18 March 1943"
],
"style": "rule"
} | {
"answer": [
"18 March 1943"
],
"id": "wikisql-33179",
"question": "On what date for convoys hx 229/sc 122 casualties (allied ships) is a zouave?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 March 1943"
],
"style": "rule"
} | {
"answer": [
"17 March 1943"
],
"id": "wikisql-33180",
"question": "What is the date when the tonnage is greater than 5,754 and the ship was sunk by U-305 among the losses of convoys hx 229/sc 122 (allied ships)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18 March 1943"
],
"style": "rule"
} | {
"answer": [
"18 March 1943"
],
"id": "wikisql-33181",
"question": "What is the date for the Granville name in convoys hx 229/sc 122 casualties (allied ship)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Port Auckland"
],
"style": "rule"
} | {
"answer": [
"Port Auckland"
],
"id": "wikisql-33182",
"question": "What is the name of the ship sunk by U-305 on March 17, 1943 among the losses of convoys hx 229/sc 122 (allied ships)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26–12"
],
"style": "rule"
} | {
"answer": [
"26–12"
],
"id": "wikisql-33233",
"question": "What is the January ranking record as the Sun peaks in the 2007-08 season of the Phoenix Suns?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Home"
],
"style": "rule"
} | {
"answer": [
"Home"
],
"id": "wikisql-33234",
"question": "What were the high-rebound highlights for the Phoenix Suns' 2007-08 season in January?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"29 January 2008"
],
"style": "rule"
} | {
"answer": [
"29 January 2008"
],
"id": "wikisql-33235",
"question": "On what date did the Suns peak with a record of 33-13 for the Phoenix Suns' January standings of the 2007-08 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Raja Bell (27)"
],
"style": "rule"
} | {
"answer": [
"Raja Bell (27)"
],
"id": "wikisql-33236",
"question": "Who will have the top assists in the Phoenix Suns January 2007-08 league season when the league table is 20,562?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-33328",
"question": "In how many games has Rafael Marquez scored 2 goals for the national 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": [
"$327,094"
],
"style": "rule"
} | {
"answer": [
"$327,094"
],
"id": "wikisql-33476",
"question": "What is the amount of cash available showing a $327,094 arrears for the 2008 US Presidential election fundraising for the Democrats in Q3 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": [
"$379,794"
],
"style": "rule"
} | {
"answer": [
"$379,794"
],
"id": "wikisql-33477",
"question": "How many receipts does Mike Gravel have for the 2008 US Presidential Election fundraiser for Q3 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": [
"$5,746,365"
],
"style": "rule"
} | {
"answer": [
"$5,746,365"
],
"id": "wikisql-33478",
"question": "What after debt did 3q raise from $5,358,585 in fundraising for the Democrats in the 2008 US Presidential election in Q3 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": [
"$5,358,585"
],
"style": "rule"
} | {
"answer": [
"$5,358,585"
],
"id": "wikisql-33479",
"question": "How Much Money Was Raised That Has $5,821,587 In Cash At The 2008 US Presidential Election Fundraiser: Democrats, Q3 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": [
"-$68,326"
],
"style": "rule"
} | {
"answer": [
"-$68,326"
],
"id": "wikisql-33480",
"question": "What is the $379,794 cash on delivery for fundraising for the 2008 US Presidential election for the Democrats in Q3 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": [
"$888,773"
],
"style": "rule"
} | {
"answer": [
"$888,773"
],
"id": "wikisql-33481",
"question": "How Much Money Did Candidate Dennis Kucinich Spend Fundraising for the 2008 US Presidential Election for Democrats in Q3 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": [
"22 ships (remainder for private acct.)"
],
"style": "rule"
} | {
"answer": [
"22 ships (remainder for private acct.)"
],
"id": "wikisql-33493",
"question": "What is the total number of ships built for usmc if the ship's first delivery date is January 1943 among the shipyards of the Gulf Coast Emergency Shipbuilding Program in the program?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pendleton Shipyards Corp."
],
"style": "rule"
} | {
"answer": [
"Pendleton Shipyards Corp."
],
"id": "wikisql-33494",
"question": "What is the shipyard name of the emergency ship building program if the ship types supplied are type n3, type v4 and the total number of ships built for USMC is 13 ships for USMC in the Gulf Coast, shipyards in the program?",
... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"C2 type"
],
"style": "rule"
} | {
"answer": [
"C2 type"
],
"id": "wikisql-33495",
"question": "What types of ships will be delivered if the total number of ships built for USMC, the contingency shipbuilding program, is 13 ships for USMC (plus 37 more for USN) among the Gulf Coast shipyards in the program?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"EC2 type, T1 type"
],
"style": "rule"
} | {
"answer": [
"EC2 type, T1 type"
],
"id": "wikisql-33496",
"question": "What types of vessels will be delivered if the Panama City, Florida location is included under the Gulf Coast Emergency Shipbuilding Programs, Shipyards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19"
],
"style": "rule"
} | {
"answer": [
"19"
],
"id": "wikisql-33629",
"question": "From the list of tallest buildings in the Halifax Regional Council completed as of February 2011, what is the lowest number of stories after Tier 1 in the Trillium (residential) building?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-33630",
"question": "List of tallest buildings in Halifax Regional Municipality, February 2011, what is the lowest number of stories in the building completed before 1970, ranking more than 14?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-33631",
"question": "In the list of tallest buildings in the Halifax Regional Council completed as of February 2011, what is the greatest number of stories in the 70 m (233 ft) Tupper Building (educational building)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 October 1982"
],
"style": "rule"
} | {
"answer": [
"1 October 1982"
],
"id": "wikisql-33658",
"question": "What is the player's birth date among England rugby world champions 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": [
"Leicester Tigers"
],
"style": "rule"
} | {
"answer": [
"Leicester Tigers"
],
"id": "wikisql-33659",
"question": "Which club or province is the 12 cap player from England Pool a Teams 2007 Rugby World Cup Squads?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Fly-half"
],
"style": "rule"
} | {
"answer": [
"Fly-half"
],
"id": "wikisql-33660",
"question": "What is the position of Toby Flood, who hails from Newcastle and has less than 24 caps, plays in England and is putting together a Rugby World Cup squad in 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14 December 1976"
],
"style": "rule"
} | {
"answer": [
"14 December 1976"
],
"id": "wikisql-33759",
"question": "When was the 10-cap lock among New Zealand teams in Rugby World Cup 2007 born?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4043"
],
"style": "rule"
} | {
"answer": [
"4043"
],
"id": "wikisql-33833",
"question": "How many were present when the score was † 4–4 † in the Scottish Challenge Cup Football League Final, Results ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5623"
],
"style": "rule"
} | {
"answer": [
"5623"
],
"id": "wikisql-33834",
"question": "How many people watched as Livingston finished second in the Scottish Challenge Cup of Football League final results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"E"
],
"style": "rule"
} | {
"answer": [
"E"
],
"id": "wikisql-33991",
"question": "What was the difficulty of the 2.4 km run (min:sec) from 13:01-13:40 under the Singapore Police, Standard?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10.8-10.9"
],
"style": "rule"
} | {
"answer": [
"10.8-10.9"
],
"id": "wikisql-33992",
"question": "What shuttle running time (sec) has a 2.4 km run (min:sec) from 12:21-13:00 according to Singapore Police standard of ippt award badge?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Las Vegas, NV"
],
"style": "rule"
} | {
"answer": [
"Las Vegas, NV"
],
"id": "wikisql-34020",
"question": "From the USA Today All USA high school basketball team, what is the hometown of the player participating in Ucla's 2011 boys second 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": [
"Washington, IN"
],
"style": "rule"
} | {
"answer": [
"Washington, IN"
],
"id": "wikisql-34022",
"question": "What is the hometown of Cody Zeller on the second team in the 2011 USA Today All-USA High School Basketball?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Cody Zeller"
],
"style": "rule"
} | {
"answer": [
"Cody Zeller"
],
"id": "wikisql-34023",
"question": "The 2011 boys second team question: USA Today All-USA high school basketball team, which player's hometown is Washington, in?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34141",
"question": "Tell me the number of regions with an area of 58.81 under 4, List of communes in Quebec?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"km (mi)"
],
"style": "rule"
} | {
"answer": [
"km (mi)"
],
"id": "wikisql-34233",
"question": "What is the distance for the 1982 Giro d'Italia Team Time Trial results route and stages?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Milan"
],
"style": "rule"
} | {
"answer": [
"Milan"
],
"id": "wikisql-34234",
"question": "What were the results, route and stage layout of the 1982 Giro d'Italia on May 13, 1982?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rest day"
],
"style": "rule"
} | {
"answer": [
"Rest day"
],
"id": "wikisql-34235",
"question": "What kind of 1982 Giro d'Italia has a rest day as the course and was on the route and stages on May 21st?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34291",
"question": "What was the result of match 2 in FC Barcelona friendlies 2006/07?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"UCLA"
],
"style": "rule"
} | {
"answer": [
"UCLA"
],
"id": "wikisql-34370",
"question": "Which college has a player from Shabazz Muhammad among USA Today, first boys team 2012 All-USA high school basketball 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": [
"6`10"
],
"style": "rule"
} | {
"answer": [
"6`10"
],
"id": "wikisql-34371",
"question": "How big is Nerlens Noel among the USA Today All-USA High School Basketball Team First, 2012 Boys' 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": [
"Marcus Smart"
],
"style": "rule"
} | {
"answer": [
"Marcus Smart"
],
"id": "wikisql-34372",
"question": "Who is from Flower Mound, TX among the USA Today 2012 All-USA High School Basketball team boys first 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": [
"Las Vegas, NV"
],
"style": "rule"
} | {
"answer": [
"Las Vegas, NV"
],
"id": "wikisql-34373",
"question": "Where is shabazz muhammad from usa today all usa high school basketball team boys first team 2012?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1-0 (4-2 agg)"
],
"style": "rule"
} | {
"answer": [
"1-0 (4-2 agg)"
],
"id": "wikisql-34385",
"question": "What result occurs if Middlesbrough FC round 4 leg 2 is in UEFA Cup in 2004/05 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": [
"1-0 (4-2 agg)"
],
"style": "rule"
} | {
"answer": [
"1-0 (4-2 agg)"
],
"id": "wikisql-34386",
"question": "What was the result of Middlesbrough FC's 2004-05 UEFA Cup second round of 16 when the attendance was less than 20,371?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Stage with mountain(s)"
],
"style": "rule"
} | {
"answer": [
"Stage with mountain(s)"
],
"id": "wikisql-34392",
"question": "What kind of Giro d'Italia results 1990, route and stages, a date of June 1st?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19 May",
"20 May",
"22 May",
"23 May",
"24 May",
"26 May",
"29 May",
"31 May"
],
"style": "rule"
} | {
"answer": [
"19 May",
"20 May",
"22 May",
"23 May",
"24 May",
"26 May",
"29 May",
"31 May"
],
"id": "wikisql-34393",
"question": "What was the date with a hilly stage in 1990? Results, route and stages of the Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gianni Bugno ( ITA )"
],
"style": "rule"
} | {
"answer": [
"Gianni Bugno ( ITA )"
],
"id": "wikisql-34394",
"question": "What is the name of the winner of the distance and stage results of the Giro d'Italia of May 18, 1990?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 June"
],
"style": "rule"
} | {
"answer": [
"3 June"
],
"id": "wikisql-34395",
"question": "What date was Moena to Aprica course in Results, Route and Stages 1990 Giro d'Italia ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Phil Anderson ( AUS )"
],
"style": "rule"
} | {
"answer": [
"Phil Anderson ( AUS )"
],
"id": "wikisql-34396",
"question": "What is the name of the results route and stages of the winner with a kind of flat stage and route from Nola to Sora in the 1990 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34502",
"question": "In the list of tvb series (2006) with the highest ratings of 2006, the ten best drama series in ratings, which is the lowest premiere with a peak of more than 35 with a ranking of 10 and a final of more than 33?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"神鵰俠侶"
],
"style": "rule"
} | {
"answer": [
"神鵰俠侶"
],
"id": "wikisql-34503",
"question": "What is the Chinese title Premiere 32 with 2.07 million HK viewers among TVB series (2006) with the highest rating of the 2006 top ten drama series in ratings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34504",
"question": "What is the average men in pain with a finale less than 33 for tvb series (2006) for the highest rating 2006, top ten drama series in ratings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"鳳凰四重奏"
],
"style": "rule"
} | {
"answer": [
"鳳凰四重奏"
],
"id": "wikisql-34505",
"question": "Which Chinese title ranked 7th in tvb series (2006) with the highest ratings of the top ten drama series of 2006 has an average of 32 and a peak of less than 38?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"inline-3 DOHC 12v"
],
"style": "rule"
} | {
"answer": [
"inline-3 DOHC 12v"
],
"id": "wikisql-34550",
"question": "What is the engine configuration of 1.2 mpi engine under Seat Toledo second generation specs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N·m ( lbf·ft ) @ 3,750"
],
"style": "rule"
} | {
"answer": [
"N·m ( lbf·ft ) @ 3,750"
],
"id": "wikisql-34551",
"question": "What is the maximum torque of the 1.2 mpi engine in the Seat Toledo second generation specifications?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9%"
],
"style": "rule"
} | {
"answer": [
"9%"
],
"id": "wikisql-34584",
"question": "What is the poll result for Chuck Devore that has a corresponding poll result of 4% for others in the 2010 California US Senate election? What's for the Republican primary elections in the US?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"STA"
],
"style": "rule"
} | {
"answer": [
"STA"
],
"id": "wikisql-34598",
"question": "Considering the senior age groups (1999-2013) that won the head of the River Championship Events (Queensland), what was in the crews after 2006 the 1st quads of the year 8 existed in the same row as the 2nd quads of the Year 9 of the BGGs?",
"spli... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bryzgalov ‡ (2–3–1)"
],
"style": "rule"
} | {
"answer": [
"Bryzgalov ‡ (2–3–1)"
],
"id": "wikisql-34663",
"question": "What was the October regular season loss for Coyotes as Anaheim Ducks opponents in 2007-08?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"County Ground , Northampton"
],
"style": "rule"
} | {
"answer": [
"County Ground , Northampton"
],
"id": "wikisql-34673",
"question": "List of kent first class cricket records what was the venue of the 1907 season with best figures in a match",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17–48"
],
"style": "rule"
} | {
"answer": [
"17–48"
],
"id": "wikisql-34674",
"question": "Best Numbers, Game Records What is the 1907 season bowling score?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1932"
],
"style": "rule"
} | {
"answer": [
"1932"
],
"id": "wikisql-34675",
"question": "What season did Tich Freeman play against opponent against Warwickshire in Kent First-Class Cricket's Best Figures Match Records?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-34763",
"question": "What is the score of replays, extra preliminary round match tie number 65 in 2007-08 FA Cup qualifying rounds?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Liversedge"
],
"style": "rule"
} | {
"answer": [
"Liversedge"
],
"id": "wikisql-34764",
"question": "Which home team had an extra preliminary round of 160 spectators for the 2007/08 FA Cup replay qualifiers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Grant Withers"
],
"style": "rule"
} | {
"answer": [
"Grant Withers"
],
"id": "wikisql-34795",
"question": "From the list of film series by studio, tell me the cast for b. reeves eason and joseph kane in mascot pictures, big studios ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Harry S. Webb"
],
"style": "rule"
} | {
"answer": [
"Harry S. Webb"
],
"id": "wikisql-34796",
"question": "I want the director of the heroes of the wild movie among the list of major studios movie series studio mascot ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1933"
],
"style": "rule"
} | {
"answer": [
"1933"
],
"id": "wikisql-34797",
"question": "I want the year of the three musketeers from the list of mascot pictures, major studio movie series by studio?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Mulhall & Frankie Darro"
],
"style": "rule"
} | {
"answer": [
"Jack Mulhall & Frankie Darro"
],
"id": "wikisql-34798",
"question": "I want to cast the director of Colbert Clark and Armand Schaefer for Burn 'em Up Barnes from the list of film series by Studio of Mascot Pictures Major Studios?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Plain stage"
],
"style": "rule"
} | {
"answer": [
"Plain stage"
],
"id": "wikisql-34880",
"question": "What type of race took place on the route from Orta San Giulio to Milan among 1983 Giro d'Italia results, routes and stages?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18 May"
],
"style": "rule"
} | {
"answer": [
"18 May"
],
"id": "wikisql-34881",
"question": "When was the course from Vasto to Campitello Matese in 1983 Giro d'Italia results route and stages ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Stage Cancelled"
],
"style": "rule"
} | {
"answer": [
"Stage Cancelled"
],
"id": "wikisql-34882",
"question": "Who won the results, distance and stages Giro d'Italia course Brescia in 1983?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"34.0"
],
"style": "rule"
} | {
"answer": [
"34.0"
],
"id": "wikisql-34913",
"question": "From 2007 to 2008 Anaheim Ducks' of December regular season how many points when taking 17,197 against the wilds participated?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Colorado"
],
"style": "rule"
} | {
"answer": [
"Colorado"
],
"id": "wikisql-34924",
"question": "What is the Western Conference semifinals, playoff goers with a home game against Chicago and a score of 3-2 for the 1995-96 Colorado Avalanche 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-34925",
"question": "What is the Western Conference Semifinals Playoff Score for the 1995-96 Colorado Avalanche with a May 2nd date?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1 – 4"
],
"style": "rule"
} | {
"answer": [
"1 – 4"
],
"id": "wikisql-34926",
"question": "What about the home of Colorado and a May 11 date for the Western Conference Semifinals, the playoffs of Colorado's 1995-96 Avalanche 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": [
"Colorado"
],
"style": "rule"
} | {
"answer": [
"Colorado"
],
"id": "wikisql-34927",
"question": "What is home with a Chicago visitor and a 3-2 streak in the Western Conference Semifinals Playoffs 1995-96 Colorado Avalanche 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": [
"Colorado"
],
"style": "rule"
} | {
"answer": [
"Colorado"
],
"id": "wikisql-34929",
"question": "What is the visitor with a score of 4-3 for the 1995-96 Western Conference Semifinals Playoffs, Colorado Avalanche 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": [
"[ɨ]"
],
"style": "rule"
} | {
"answer": [
"[ɨ]"
],
"id": "wikisql-34959",
"question": "Name the realization for the phoneme of /i/, for example /idːa/, and recognize the sound of /i/ in the allophony, the vowels of the central Atlastamazight?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"/i/"
],
"style": "rule"
} | {
"answer": [
"/i/"
],
"id": "wikisql-34960",
"question": "Name the phoneme for realizing [ɪj] for the allophonic vowels of Tamazight in the Central Atlas?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"/ili/"
],
"style": "rule"
} | {
"answer": [
"/ili/"
],
"id": "wikisql-34961",
"question": "Give the example when the environment # _x is under the allophony, vowels of the Central Atlas Tamazight?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"/da/"
],
"style": "rule"
} | {
"answer": [
"/da/"
],
"id": "wikisql-34962",
"question": "Give the example when realizing [ɐ] is the way English alphabet (vowel) for Central Atlas Tamazight vowel allophony ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"/a/"
],
"style": "rule"
} | {
"answer": [
"/a/"
],
"id": "wikisql-34964",
"question": "Name the phoneme when the realization is [ɑ] for the Central Atlas Tamazight allophony, vowels?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Laredo, Laredo X, Limited, Overland, Summit"
],
"style": "rule"
} | {
"answer": [
"Laredo, Laredo X, Limited, Overland, Summit"
],
"id": "wikisql-35034",
"question": "What are the notes if the displacement is 220 cid (3,604 cc) for the fourth generation Jeep Grand Cherokee engines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6.4L Hemi V8"
],
"style": "rule"
} | {
"answer": [
"6.4L Hemi V8"
],
"id": "wikisql-35035",
"question": "Then what is the engine for the fourth generation jeep grand cherokee if the notes state srt8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"kW (PS; hp)"
],
"style": "rule"
} | {
"answer": [
"kW (PS; hp)"
],
"id": "wikisql-35036",
"question": "What is the performance of the Jeep Grand Cherokee when the displacement is 182 cid (2,988 cc) and the grades among fourth generation engines are EU specification?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6.4L Hemi V8"
],
"style": "rule"
} | {
"answer": [
"6.4L Hemi V8"
],
"id": "wikisql-35037",
"question": "What is the engine for the fourth generation Jeep Grand Cherokee 2012-2013?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Spencer Hawes"
],
"style": "rule"
} | {
"answer": [
"Spencer Hawes"
],
"id": "wikisql-35056",
"question": "What is the player from today's USA All-USA high school basketball team hailing from Seattle Prep: the 2006 boys' first 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": [
"Clinton, MD"
],
"style": "rule"
} | {
"answer": [
"Clinton, MD"
],
"id": "wikisql-35057",
"question": "Which player on the USA Today 2006 Boys' All-USA High School Basketball First Teams is from the player's hometown who is 6-0 tall?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Seattle, WA"
],
"style": "rule"
} | {
"answer": [
"Seattle, WA"
],
"id": "wikisql-35058",
"question": "What is the hometown of the player from the 2006 USA boys first team, now the All-USA high school basketball team, who attended College of Washington?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Will James"
],
"style": "rule"
} | {
"answer": [
"Will James"
],
"id": "wikisql-35145",
"question": "Which player in Wales, Pool B Squads Rugby World Cup 2007 has a suspension and has 1 cap?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Fly-half"
],
"style": "rule"
} | {
"answer": [
"Fly-half"
],
"id": "wikisql-35146",
"question": "With 87 caps, what position does Ceri Sweeney play among the Wales Pool B Rugby World Cup 2007 squads?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Huw Bennett"
],
"style": "rule"
} | {
"answer": [
"Huw Bennett"
],
"id": "wikisql-35147",
"question": "Which player among Rugby World Cup 2007 teams has 12 caps under Wales, Pool B?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1127"
],
"style": "rule"
} | {
"answer": [
"1127"
],
"id": "wikisql-35183",
"question": "When the M&SWJ number was 9 for Great Western Junction Railway (1920 - 1924) merged company locomotives, which GWR numbers had a set less than 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": [
"Beyer, Peacock & Co."
],
"style": "rule"
} | {
"answer": [
"Beyer, Peacock & Co."
],
"id": "wikisql-35184",
"question": "Which manufacturer type was 2-6-0 for the locomotives of the Great Western Railway Junction Railway merged companies (1920 - 1924)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"27 May 1990"
],
"style": "rule"
} | {
"answer": [
"27 May 1990"
],
"id": "wikisql-35278",
"question": "Which date has a date of 19:29 among UK records in athletics, walking, road?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chris Maddocks"
],
"style": "rule"
} | {
"answer": [
"Chris Maddocks"
],
"id": "wikisql-35279",
"question": "Which athlete has a 35km run among the UK walking road records in athletics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"James Arlidge"
],
"style": "rule"
} | {
"answer": [
"James Arlidge"
],
"id": "wikisql-35301",
"question": "Which player among Rugby World Cup 2007 squads was a flying half among Japan (reserve), pool B squads of RWC 2007?",
"split": "train"
} |
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