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": [
"6-3"
],
"style": "rule"
} | {
"answer": [
"6-3"
],
"id": "wikisql-30950",
"question": "What is Nolan Smith's height among the 2007 USA boys third team today on the 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": [
"6-3"
],
"style": "rule"
} | {
"answer": [
"6-3"
],
"id": "wikisql-30951",
"question": "How tall is the player who went to Oak Hill Academy as the third-team USA Today All-USA high school basketball team 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-30962",
"question": "What is the total of conference semifinals, playoff games Paul (9) had for high assists in the 2007-08 New Orleans Hornets 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": [
"San Antonio"
],
"style": "rule"
} | {
"answer": [
"San Antonio"
],
"id": "wikisql-30963",
"question": "Which team had a high point in the playoffs in the conference semifinals of the 2007-08 New Orleans Hornets 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": [
"Adelaide United"
],
"style": "rule"
} | {
"answer": [
"Adelaide United"
],
"id": "wikisql-30988",
"question": "Which home team played in front of 18,345 spectators at the Adelaide Oval for the 2007-08 Adelaide United season games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sydney FC"
],
"style": "rule"
} | {
"answer": [
"Sydney FC"
],
"id": "wikisql-30989",
"question": "Which team in Adelaide United match competitions was hosted at Adelaide Oval in 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": [
"1:1"
],
"style": "rule"
} | {
"answer": [
"1:1"
],
"id": "wikisql-30993",
"question": "What is the ura index scale for the global positioning system for subframe1, message format?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-30994",
"question": "What is the scaling of sv_health of subframe1 message format with word count less than 4 in global positioning system?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"$132,741"
],
"style": "rule"
} | {
"answer": [
"$132,741"
],
"id": "wikisql-31133",
"question": "After debting $82,741 to fundraise for the 2008 US Presidential Republicans in Q3 2007, how much cash was there?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"–"
],
"style": "rule"
} | {
"answer": [
"–"
],
"id": "wikisql-31134",
"question": "With a total debt of $169,256, what was the amount of credit received as part of the 2008 US Presidential election Republican fundraising 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": [
"$4,235,333"
],
"style": "rule"
} | {
"answer": [
"$4,235,333"
],
"id": "wikisql-31135",
"question": "What was the total of total revenue for Republicans in Q3 2007 when $925,745 was raised for fundraisers for the 2008 US Presidential Election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"$5,470,277"
],
"style": "rule"
} | {
"answer": [
"$5,470,277"
],
"id": "wikisql-31136",
"question": "How much money was spent if the amount after debt was $1,757,936 for the 2008 US Presidential election Republican fundraiser 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": [
"$603,490"
],
"style": "rule"
} | {
"answer": [
"$603,490"
],
"id": "wikisql-31137",
"question": "How much is after debt if cash on hand is $651,300 to raise funds for Republicans 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": [
"Meralomas"
],
"style": "rule"
} | {
"answer": [
"Meralomas"
],
"id": "wikisql-31179",
"question": "Which club has 1 cap among Canada 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": [
"Flanker"
],
"style": "rule"
} | {
"answer": [
"Flanker"
],
"id": "wikisql-31180",
"question": "What is the position of a Meralomas club and a player named David Biddle among Canada's 2007 Rugby World Cup teams?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2.0"
],
"style": "rule"
} | {
"answer": [
"2.0"
],
"id": "wikisql-31181",
"question": "What is the average number of caps for middle-ranked Meralomas among Canada's 2007 Rugby World Cup pool B teams?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-31183",
"question": "What is the smallest population in a region greater than 9 in the 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-31184",
"question": "Among the list of Quebec Region 9 municipalities, what is the average area for code 98030 with a population over 312?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kyle McCallan Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Kyle McCallan Category:Articles with hCards"
],
"id": "wikisql-31264",
"question": "Which Ireland Cricket Captains player does not have 0 results and multiple draws for ICC Trophy/ICC World Cup Qualifier, Men's Cricket?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Perry Ellis"
],
"style": "rule"
} | {
"answer": [
"Perry Ellis"
],
"id": "wikisql-31333",
"question": "Which player is from the hometown of Wichita,ks on the 2012 boys' second team of today's 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": [
"1st Round - 1st Pick of 2013 Draft ( Cavaliers )"
],
"style": "rule"
} | {
"answer": [
"1st Round - 1st Pick of 2013 Draft ( Cavaliers )"
],
"id": "wikisql-31334",
"question": "For the player from Brampton, the 2012 boys' junior team of the USA All-USA high school basketball team, what is her NBA draft status today?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kansas"
],
"style": "rule"
} | {
"answer": [
"Kansas"
],
"id": "wikisql-31335",
"question": "Who was the second-team 2012 boys-team college player Perry Ellis for the USA Today 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": [
"1870"
],
"style": "rule"
} | {
"answer": [
"1870"
],
"id": "wikisql-31619",
"question": "Which of the lowest years had a wheel arrangement of 0-4-2t in Isle Wight Central, Southern Railway Minor Companies locomotives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-31620",
"question": "What is the mean year the iwcr number was 5 and the withdrawn year was greater than 1926 for Southern Railway of Isle Wight Central Minor Companies locomotives?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"W11"
],
"style": "rule"
} | {
"answer": [
"W11"
],
"id": "wikisql-31621",
"question": "Considering the Isle Wight Central of Southern Railway Locomotives, smaller companies, which SR number had a wheel arrangement of 0-6-0t, was the year of manufacture younger than 1874 and the year it was withdrawn was 1963?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-31622",
"question": "How many years has the wheel arrangement 0-4-0t for locomotives of the Southern Railway Islands medium-sized smaller companies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-31661",
"question": "In list of communes in Quebec, what is the total population of Saint-Wenceslas with region number of 17?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-31662",
"question": "What is the smallest code associated with an m-type for a region with fewer than 17 names in the 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-31695",
"question": "How much, on average, received loans, contributions less than 34,986,088, disbursements greater than 251,093,944 for Dennis Kucinich † with operating expenses greater than 3,638,219 for fundraising for the Democrats, 2008 US Presidential Election C... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14040555"
],
"style": "rule"
} | {
"answer": [
"14040555"
],
"id": "wikisql-31696",
"question": "What is the lowest operating expense if contributions are more than 8,245,241 to raise funds for the 2008 US Presidential Election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-31697",
"question": "How many loans received have disbursements greater than 21,857,565 and contributions greater than 3,869,613 with receipts less than 11,405,771 for the 2008 US Presidential election fundraising cycle for Democrats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-31698",
"question": "What is the most revenue for Barack Obama with payouts less than 85,176,289 in fundraising for the 2008 US Presidential Election, Summary of the Democratic Election Cycle?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-31699",
"question": "How many Democrats have $44,259,386 in fundraising receipts?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Danie Rossouw"
],
"style": "rule"
} | {
"answer": [
"Danie Rossouw"
],
"id": "wikisql-31763",
"question": "Which Bulls player has a birthday on 6 May 1978 among the 2007 South Africa 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": [
"Ricky Januarie"
],
"style": "rule"
} | {
"answer": [
"Ricky Januarie"
],
"id": "wikisql-31764",
"question": "Considering the Rugby World Cup 2007 teams, if playing on the same team as this player, which player would have been born on February 1st 1982 and won more than 16 caps?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Romeo Gontineac"
],
"style": "rule"
} | {
"answer": [
"Romeo Gontineac"
],
"id": "wikisql-31868",
"question": "What is the country of Aurillac's Romanian pool C player 2007 Rugby World Cup squad?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"`to work`"
],
"style": "rule"
} | {
"answer": [
"`to work`"
],
"id": "wikisql-31880",
"question": "Name the shine for [χdəm] among the schwa epenthesis, Central Atlas vowels 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": [
"əC(ː)"
],
"style": "rule"
} | {
"answer": [
"əC(ː)"
],
"id": "wikisql-31881",
"question": "Name the realization for \"to be, to do\" for the schwa epenthesis 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": [
"Chase Budinger"
],
"style": "rule"
} | {
"answer": [
"Chase Budinger"
],
"id": "wikisql-31909",
"question": "What player is a size 6-7 among today's USA, All-USA high school basketball team, boys third team of 2006?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Round - 2nd Pick of 2008 Draft ( Heat )"
],
"style": "rule"
} | {
"answer": [
"1st Round - 2nd Pick of 2008 Draft ( Heat )"
],
"id": "wikisql-31910",
"question": "What is the Washington, DC player's NBA draft score among USA Today, third-boy team of the 2006 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": [
"1st Round - 27th Pick of 2008 Draft ( Hornets )"
],
"style": "rule"
} | {
"answer": [
"1st Round - 27th Pick of 2008 Draft ( Hornets )"
],
"id": "wikisql-31911",
"question": "What is the College of Kansas player's NBA draft result among the USA Today All-USA High School Basketball Team Third, 2006 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": [
"South Oak Cliff High School"
],
"style": "rule"
} | {
"answer": [
"South Oak Cliff High School"
],
"id": "wikisql-31914",
"question": "What is the school of the Dallas, TX players on the 2006 USA boys third team today 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-31951",
"question": "From list of tvb series (2005) with highest ratings of 2005, top ten drama series by ratings, how many entries have 2.23 million viewers and rank below 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": [
"32"
],
"style": "rule"
} | {
"answer": [
"32"
],
"id": "wikisql-31952",
"question": "In lists of tvb series (2005), in the top ten highest rated drama series of 2005 in ratings, which premiere has a finale under 41, a high under 40, an average over 31 and a Chinese title of 學警雄心 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-31953",
"question": "From list of tvb series (2005), what is the top rated 2005, top ten high average drama series having a finale of more than 35, HK viewers of 2.12 million and a peak of more than 40 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 September 1984"
],
"style": "rule"
} | {
"answer": [
"22 September 1984"
],
"id": "wikisql-31966",
"question": "On what day did Chris Maddocks compete in the 35000m under the British records in outdoor walking 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": [
"Hew Neilson"
],
"style": "rule"
} | {
"answer": [
"Hew Neilson"
],
"id": "wikisql-31967",
"question": "Who has running data of 214,061 km from UK records in outdoor 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": [
"Chris Maddocks"
],
"style": "rule"
} | {
"answer": [
"Chris Maddocks"
],
"id": "wikisql-31968",
"question": "Which UK outdoor records in athletics have walk dates of 3:10:48+?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"19849.0"
],
"style": "rule"
} | {
"answer": [
"19849.0"
],
"id": "wikisql-31994",
"question": "What was the average attendance on April 28 at the Eastern Conference semifinals, the 2007-08 season playoffs in Philadelphia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"21"
],
"style": "rule"
} | {
"answer": [
"21"
],
"id": "wikisql-32104",
"question": "What is the highest game total with a record of 12-8-1 among the New York Rangers 2007-November 8 season, schedule and 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": [
"13-8-2"
],
"style": "rule"
} | {
"answer": [
"13-8-2"
],
"id": "wikisql-32105",
"question": "What is the record as the decision came November 23 under the 2007–08 New York Rangers season schedules and 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": [
"Amityville High School"
],
"style": "rule"
} | {
"answer": [
"Amityville High School"
],
"id": "wikisql-32162",
"question": "Tell me the 6-9 USA size school is now the second boys team on the 2002 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": [
"Cave Spring High School"
],
"style": "rule"
} | {
"answer": [
"Cave Spring High School"
],
"id": "wikisql-32163",
"question": "Among today's US All-USA high school basketball teams, which school had the player a size 6-4 in the 2002 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": [
"Michigan State"
],
"style": "rule"
} | {
"answer": [
"Michigan State"
],
"id": "wikisql-32164",
"question": "Are you telling me the college that Paul Davis went to was a junior team boys team on the 2002 All-USA high school basketball team today?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Amityville High School"
],
"style": "rule"
} | {
"answer": [
"Amityville High School"
],
"id": "wikisql-32165",
"question": "Tell me the school Jason Fraser attended was on the boys second team of 2002 USA Today 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": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-32237",
"question": "What is the total number of points in the Singapore Armed Forces standard of ippt awards badge if the grade is c, a and a?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"230 - 238"
],
"style": "rule"
} | {
"answer": [
"230 - 238"
],
"id": "wikisql-32238",
"question": "What standing long jump (cm) did the B class have among the Singapore Armed Forces of Ippt Awards Badge, 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": [
"B"
],
"style": "rule"
} | {
"answer": [
"B"
],
"id": "wikisql-32239",
"question": "What grade did the pull up (reps) 9-10 under the Singapore Armed Forces standard receive from the ippt awards 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": [
"Sailing ship"
],
"style": "rule"
} | {
"answer": [
"Sailing ship"
],
"id": "wikisql-32313",
"question": "What kind of SMS Möwe has a date of 8th December 16 and a Duchess of Cornwall ship captured by Möwe on her second voyage of her raiding career?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Kingdom"
],
"style": "rule"
} | {
"answer": [
"United Kingdom"
],
"id": "wikisql-32314",
"question": "What nationality has a tonnage over 2,890 GRT and a ship from Mount Temple among the SMS Möwes sunk or captured by Moewe on her second corsair career?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Kingdom"
],
"style": "rule"
} | {
"answer": [
"United Kingdom"
],
"id": "wikisql-32315",
"question": "What nationality is a ship from Minteh among the SMS Möwes, sunk or captured by Moewe on her second voyage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2586"
],
"style": "rule"
} | {
"answer": [
"2586"
],
"id": "wikisql-32316",
"question": "What is the total tonnage GRT of SMS Möwe's entire raiding career with a cargo ship type and nationality of Norway?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4 Dec 16"
],
"style": "rule"
} | {
"answer": [
"4 Dec 16"
],
"id": "wikisql-32317",
"question": "On what date was a ship sunk by Hallbjörg under SMS Möwe, captured by Moewe on her second voyage?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nino Oliviero"
],
"style": "rule"
} | {
"answer": [
"Nino Oliviero"
],
"id": "wikisql-32396",
"question": "In Mondo Film,Jacopetti and Prosperi, what music is in the film with an uncut running time of 95 minutes?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Italy"
],
"style": "rule"
} | {
"answer": [
"Italy"
],
"id": "wikisql-32397",
"question": "From which country is the film with music by Nino Oliviero under Jacopetti and Prosperi, Mondo Film?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Riz Ortolani"
],
"style": "rule"
} | {
"answer": [
"Riz Ortolani"
],
"id": "wikisql-32398",
"question": "Considering Jacopetti and Prosperi: Which film is the music of Mondo before 1963?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Riz Ortolani"
],
"style": "rule"
} | {
"answer": [
"Riz Ortolani"
],
"id": "wikisql-32399",
"question": "What music is in Mondo Film before 1962 among the Jacopetti and Prosperi films?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Runners-up"
],
"style": "rule"
} | {
"answer": [
"Runners-up"
],
"id": "wikisql-32441",
"question": "What is the final standings/round in UEFA Cup under Rangers FC 2007–08 . Season among the overall competitions. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12 December"
],
"style": "rule"
} | {
"answer": [
"12 December"
],
"id": "wikisql-32442",
"question": "If the last position/round is the group stage, when is the last game for the 2007-08 Rangers FC overall competition?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Billups (7)"
],
"style": "rule"
} | {
"answer": [
"Billups (7)"
],
"id": "wikisql-32633",
"question": "What was the total of high assists for Game 1 of the 2007-08 Detroit Pistons Conference Semifinals Playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"$58,912,520"
],
"style": "rule"
} | {
"answer": [
"$58,912,520"
],
"id": "wikisql-32644",
"question": "What was the total fundraising income for the 2008 US Presidential election for the Democrats in the second quarter of 2007 when the money raised in the second quarter was $33,120,440?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"$707,653"
],
"style": "rule"
} | {
"answer": [
"$707,653"
],
"id": "wikisql-32645",
"question": "How much money was spent raising funds for the 2008 US Presidential Democrats in Q2 2007 when the total proceeds were $1,117,566?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"$27,021,358"
],
"style": "rule"
} | {
"answer": [
"$27,021,358"
],
"id": "wikisql-32646",
"question": "How much money was raised by the Democrats for the 2008 United States Presidential election in Q2 2007 when the total revenue was $63,075,927?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"$36,263,689"
],
"style": "rule"
} | {
"answer": [
"$36,263,689"
],
"id": "wikisql-32647",
"question": "How much cash was there when money spent in Q2 on fundraisers for the US Democratic Presidential election in Q2 2007 was $16,042,388?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Paul Sarah"
],
"style": "rule"
} | {
"answer": [
"Paul Sarah"
],
"id": "wikisql-32655",
"question": "Which Richmond player played against St Kilda during kicks after siren in Australian football goal to win, vfl/afl?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Peter Burgoyne"
],
"style": "rule"
} | {
"answer": [
"Peter Burgoyne"
],
"id": "wikisql-32656",
"question": "Which player played in kicks after the siren in goal Australian football to win the vfl/afl in 2000?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1980"
],
"style": "rule"
} | {
"answer": [
"1980"
],
"id": "wikisql-32657",
"question": "In what year will Geelong win Goal?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18422"
],
"style": "rule"
} | {
"answer": [
"18422"
],
"id": "wikisql-32698",
"question": "What was the attendance for the April Timberwolves Ladder Game of the 2007-08 Phoenix Suns season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-32835",
"question": "With a total Sinclair score of 477.2772023 and a weight class (kg) greater than 105, what is the average significant Sinclair coefficient?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-32869",
"question": "How many in the from category for German skeleton champions in women's statistics had thirds of exactly 2 and a bis statistic of 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": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-32870",
"question": "What is the list of German skeleton champions, stats: second number if from before 2006 and third number was 4?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2004"
],
"style": "rule"
} | {
"answer": [
"2004"
],
"id": "wikisql-32871",
"question": "Looking at the stats of the German skeleton champions, what is the total up to the 5 title years?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mike Emrick",
"Mike Emrick"
],
"style": "rule"
} | {
"answer": [
"Mike Emrick",
"Mike Emrick"
],
"id": "wikisql-32877",
"question": "Who Did the Pre-1998 Play-by-Play on Fox Network Among the 1990s NHL All-Star Game Broadcasters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Marv Albert"
],
"style": "rule"
} | {
"answer": [
"Marv Albert"
],
"id": "wikisql-32878",
"question": "Who did the pre-1992 play-by-play of 1990s American television with ice-level reporter Mike Emrick among the NHL's all-star gaming networks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bill Clement and Brenda Brenon",
"Ron MacLean"
],
"style": "rule"
} | {
"answer": [
"Bill Clement and Brenda Brenon",
"Ron MacLean"
],
"id": "wikisql-32879",
"question": "What's the post-1992 Ice Level Reporter with color commentator John Davidson and play-by-play Marv Albert among the 1990s?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"NBC",
"NBC",
"NBC",
"NBC"
],
"style": "rule"
} | {
"answer": [
"NBC",
"NBC",
"NBC",
"NBC"
],
"id": "wikisql-32880",
"question": "Which network is the pre-1994 play-by-play Marv Albert among America's 1990s NHL All-Star Game Networks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-32882",
"question": "What Were Charles Pauley's Wide Receivers With Under 60 Yards During the 2007 Season in Philadelphia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"W 94–75"
],
"style": "rule"
} | {
"answer": [
"W 94–75"
],
"id": "wikisql-32883",
"question": "What is the Detroit Pistons 2007-08 Conference Finals playoff game score on May 26?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"TD Banknorth Garden 18,624"
],
"style": "rule"
} | {
"answer": [
"TD Banknorth Garden 18,624"
],
"id": "wikisql-32884",
"question": "What is the location and attendance for the May 22 game for the Detroit Pistons 2007-08 season, conference finals and playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Supernatural"
],
"style": "rule"
} | {
"answer": [
"Supernatural"
],
"id": "wikisql-32895",
"question": "What's on The Smallville Channel 2007-08 of America's Television Guide on Fall Thursday at 9:00 p.m.?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"ABC"
],
"style": "rule"
} | {
"answer": [
"ABC"
],
"id": "wikisql-32896",
"question": "what is network playing ugly betty among 2007-08 fall thursday us tv programs",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Are You Smarter Than a 5th Grader?"
],
"style": "rule"
} | {
"answer": [
"Are You Smarter Than a 5th Grader?"
],
"id": "wikisql-32897",
"question": "What is the 8:30 p.m. show on Fox on the US network's 2007-08 Fall Thursday schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"My Thursday Night Movie"
],
"style": "rule"
} | {
"answer": [
"My Thursday Night Movie"
],
"id": "wikisql-32898",
"question": "What is the 8:30 channel in the 2007–2008 US television schedule that has local programming at ten and nine thirty? This is my fall Thursday night movie?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Local Programming"
],
"style": "rule"
} | {
"answer": [
"Local Programming"
],
"id": "wikisql-32899",
"question": "Name the 10:00 p.m. if 8:00 p.m. is my fall Thursday night movie under the 2007-08 US network television schedules?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"C1-M type, V4 type, S2 (frigate) type"
],
"style": "rule"
} | {
"answer": [
"C1-M type, V4 type, S2 (frigate) type"
],
"id": "wikisql-33000",
"question": "What types of ships were built at the Frömming brothers shipyard as part of the Great Lakes Shipyards program of the Notschiffbauprogramm?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"C1-M type, N3 type, S2 (frigate) type"
],
"style": "rule"
} | {
"answer": [
"C1-M type, N3 type, S2 (frigate) type"
],
"id": "wikisql-33001",
"question": "What types of ships were first delivered in December 1942 as part of the Notschiffbauprogramm on great lakes, 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": [
"425 OHV I4"
],
"style": "rule"
} | {
"answer": [
"425 OHV I4"
],
"id": "wikisql-33041",
"question": "Which engine is rated at 114 hp (85 kW) in the first generation Jeep Grand Cherokee?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"lb·ft (N·m)"
],
"style": "rule"
} | {
"answer": [
"lb·ft (N·m)"
],
"id": "wikisql-33042",
"question": "What is the torque of an Amc Power Tech i6 engine for the first generation Jeep Grand Cherokee?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4.0L (242CID)"
],
"style": "rule"
} | {
"answer": [
"4.0L (242CID)"
],
"id": "wikisql-33043",
"question": "What displacement is 185 hp (138 kW) of first 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": [
"Farragut Career Academy"
],
"style": "rule"
} | {
"answer": [
"Farragut Career Academy"
],
"id": "wikisql-33045",
"question": "What is the name of the school of the 2008 USA Today All-USA high school basketball team Boys Third Team that has a player named Michael Dunigan?",
"split": "train"
} |
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