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": [
"23 September 2007"
],
"style": "rule"
} | {
"answer": [
"23 September 2007"
],
"id": "wikisql-53867",
"question": "When was the departure date when a coach was replaced by Bojan Prašnikar in Bundesliga 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": [
"Hockey"
],
"style": "rule"
} | {
"answer": [
"Hockey"
],
"id": "wikisql-53868",
"question": "What sport was named among the Best Championship Performance ESPY Awards in 2011?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53869",
"question": "How many laps did Giancarlo Fisichella do in the 2000 US Grand Prix with a grid of more than 15?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"34"
],
"id": "wikisql-53870",
"question": "How many laps did Jos Verstappen complete on Grid 2 at the 2000 United States Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-53871",
"question": "At the 1995 Brazilian Grand Prix, David Coulthard was the driver. Which starting lineup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"48"
],
"style": "rule"
} | {
"answer": [
"48"
],
"id": "wikisql-53872",
"question": "How many 21st grid laps were there in the 1995 Brazilian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-53882",
"question": "How many gold medals for nations with over 0 silver, over 1 total and over 3 bronze for the 2007 FIBT World Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"27928"
],
"style": "rule"
} | {
"answer": [
"27928"
],
"id": "wikisql-53885",
"question": "Since the 1946 season, what is the Los Angeles Rams' combined attendance in all games that had a score of w 35-14?",
"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": [
"4182"
],
"style": "rule"
} | {
"answer": [
"4182"
],
"id": "wikisql-53897",
"question": "What is the Sittingbourne and Kemsley Light Railway work number for Victor?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1922.0"
],
"style": "rule"
} | {
"answer": [
"1922.0"
],
"id": "wikisql-53898",
"question": "What is the average year built for Superb under Sittingbourne and Kemsley Light Railway?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6–2, 7–5"
],
"style": "rule"
} | {
"answer": [
"6–2, 7–5"
],
"id": "wikisql-53901",
"question": "What was the result in the match between Vojislava Lukić and Sanaz Marand?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Pitești , Romania"
],
"style": "rule"
} | {
"answer": [
"Pitești , Romania"
],
"id": "wikisql-53902",
"question": "Which tournament took place on May 21, 2006 under Vojislava Lukić?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53904",
"question": "What is the highest lap count with a time of 4:39 for Anthony Johnson (fighter)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4–0"
],
"style": "rule"
} | {
"answer": [
"4–0"
],
"id": "wikisql-53905",
"question": "What record under Anthony Johnson (fighter) has a time of 0:13?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Win"
],
"style": "rule"
} | {
"answer": [
"Win"
],
"id": "wikisql-53906",
"question": "What is the result of rounds under 2 vs DJ Linderman for Anthony Johnson (fighter)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jean Behra"
],
"style": "rule"
} | {
"answer": [
"Jean Behra"
],
"id": "wikisql-53914",
"question": "Who drove the Maserati with a starting grid of less than 6 and a time/retirement of +2 laps for the 1958 Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4.0"
],
"style": "rule"
} | {
"answer": [
"4.0"
],
"id": "wikisql-53915",
"question": "What is the average starting grid for a Maserati with less than 80 laps and a time/retirement of +2 laps in the 1958 Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"80"
],
"style": "rule"
} | {
"answer": [
"80"
],
"id": "wikisql-53916",
"question": "What were the lowest laps set by Luigi Musso driving a Ferrari with a grid greater than 2 in the 1958 Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"+ 46.7"
],
"style": "rule"
} | {
"answer": [
"+ 46.7"
],
"id": "wikisql-53925",
"question": "What is the time/retirement for Phil Hill with over 67 laps and a grade under 18 at the 1959 Italian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Glamorgan, Durham, Middlesex"
],
"style": "rule"
} | {
"answer": [
"Glamorgan, Durham, Middlesex"
],
"id": "wikisql-53926",
"question": "What was relegated to the Pro40 in the 2006 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": [
"Norwich Union League"
],
"style": "rule"
} | {
"answer": [
"Norwich Union League"
],
"id": "wikisql-53927",
"question": "In which season did the Norwich Union League get promoted at Pro40?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Warwickshire, Kent, Surrey"
],
"style": "rule"
} | {
"answer": [
"Warwickshire, Kent, Surrey"
],
"id": "wikisql-53928",
"question": "What was relegated to Middlesex 2nd Division for Pro40?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"National League"
],
"style": "rule"
} | {
"answer": [
"National League"
],
"id": "wikisql-53929",
"question": "What is the 1st league when the 2nd league at Pro40 is Landesliga?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53944",
"question": "When is the last week with a score of aw 34-21 for the Los Angeles Rams 1952 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": [
"Decision (split)"
],
"style": "rule"
} | {
"answer": [
"Decision (split)"
],
"id": "wikisql-53945",
"question": "What is the method when James Irvin (fighter) loses with time 5:00?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"KO (punches)"
],
"style": "rule"
} | {
"answer": [
"KO (punches)"
],
"id": "wikisql-53946",
"question": "What was the method when the time was 1:01 for James Irvin (fighter)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Draw"
],
"style": "rule"
} | {
"answer": [
"Draw"
],
"id": "wikisql-53951",
"question": "What was the result of the friendly match played in Hassan Abdel-Fattah on October 8, 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": [
"2010 FIFA World Cup qualification"
],
"style": "rule"
} | {
"answer": [
"2010 FIFA World Cup qualification"
],
"id": "wikisql-53952",
"question": "What was the name of Hassan Abdel-Fattah's competition that took place on May 31, 2008?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Larnaca"
],
"style": "rule"
} | {
"answer": [
"Larnaca"
],
"id": "wikisql-53953",
"question": "During the March 26, 2005 loss to Hassan Abdel-Fattah, where was the game played?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53954",
"question": "What is the average number of laps with a time/retirement +1 lap, a driver owned by Olivier Panis and a grid greater than 4 for the 1997 San Marino Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Arrows - Yamaha"
],
"style": "rule"
} | {
"answer": [
"Arrows - Yamaha"
],
"id": "wikisql-53955",
"question": "Which constructor has less than 62 laps, a timed/failed gearbox, a grid greater than 1 and Pedro Diniz driving at the 1997 San Marino Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"+2 Laps"
],
"style": "rule"
} | {
"answer": [
"+2 Laps"
],
"id": "wikisql-53956",
"question": "What is the time/retirement of 60 laps and 19th grid position for the 1997 San Marino Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"93"
],
"style": "rule"
} | {
"answer": [
"93"
],
"id": "wikisql-53972",
"question": "What is the greatest lap count with a grid greater than 14, a time/retirement of +2 laps and a driver by Helmut Marko in the 1972 Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"21.0"
],
"style": "rule"
} | {
"answer": [
"21.0"
],
"id": "wikisql-53973",
"question": "Which grid has less than 11 laps and one accident time/down time for the 1972 Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18"
],
"style": "rule"
} | {
"answer": [
"18"
],
"id": "wikisql-53974",
"question": "What was the total starting grid for Peter Gethin in the 1972 Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-53975",
"question": "How many grids does Dave Walker have in the 1972 Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12"
],
"style": "rule"
} | {
"answer": [
"12"
],
"id": "wikisql-53976",
"question": "What is the lowest grid with Matra as constructor in the 1972 Argentine Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"53"
],
"style": "rule"
} | {
"answer": [
"53"
],
"id": "wikisql-53981",
"question": "How many laps did Ricardo Zonta do in the 2000 Italian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rubens Barrichello"
],
"style": "rule"
} | {
"answer": [
"Rubens Barrichello"
],
"id": "wikisql-53982",
"question": "What is the name of the driver for the 2000 Italian Grand Prix with grid less than 14, laps less than 53 and collision time/retirement and Ferrari constructor?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-53983",
"question": "What is the race number with less than 52 laps and a collision time/retirement and a constructor of Arrows - Supertec among the 2000 Italian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10.0"
],
"style": "rule"
} | {
"answer": [
"10.0"
],
"id": "wikisql-53984",
"question": "What is the average laps for an under 17 grid and a Constructor of Williams – BMW driven by Jenson Button for the 2000 Italian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10.0"
],
"style": "rule"
} | {
"answer": [
"10.0"
],
"id": "wikisql-54006",
"question": "Can you give me the average points a pts/game greater than 4 and the Nation of England and games less than 5 for the 2006 Women's Six Nations Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54007",
"question": "Can you give me the lowest points/game where games are greater than 6 for the 2006 Women's Six Nations Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54008",
"question": "Can you tell me the lowest points/game named Philippa Tuttiett and points greater than 6 in the 2006 Women's Six Nations Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-54009",
"question": "Can you tell me the lowest games points/game greater than 1.4 and points 20 and Susan Day's name among the 2006 Women's Six Nations Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"593"
],
"style": "rule"
} | {
"answer": [
"593"
],
"id": "wikisql-54010",
"question": "What is the absorbance (in nanometers) for the color orange for DyLight Fluor?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"353"
],
"style": "rule"
} | {
"answer": [
"353"
],
"id": "wikisql-54011",
"question": "What is the absorption (in nanometers) of the color violet with DyLight Fluor with an emission of 432 nm?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"618"
],
"style": "rule"
} | {
"answer": [
"618"
],
"id": "wikisql-54012",
"question": "What emission (in nanometers) does DyLight Fluor have an absorption of 593 nm?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"618"
],
"style": "rule"
} | {
"answer": [
"618"
],
"id": "wikisql-54013",
"question": "What is the emission (in nanometers) of DyLight Fluor with a molar mass of 1078 g/mol?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"250000"
],
"style": "rule"
} | {
"answer": [
"250000"
],
"id": "wikisql-54014",
"question": "Which ε (M -1 cm -1) has a molar mass of 1008 g/mol under dyLight Fluor?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Valeria Solovyeva"
],
"style": "rule"
} | {
"answer": [
"Valeria Solovyeva"
],
"id": "wikisql-54048",
"question": "Welcher Partner war am 14. April 2013 in Raluca Olaru?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-54049",
"question": "What is the starting grid for the 1968 British Grand Prix when the laps are less than 80 and the driver is Bruce McLaren?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jo Bonnier"
],
"style": "rule"
} | {
"answer": [
"Jo Bonnier"
],
"id": "wikisql-54050",
"question": "Which driver has a starting grid of more than 19 in the 1968 British Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-54051",
"question": "If driver Richard Attwood has a brm constructor how many laps is the 1968 British Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12.0"
],
"style": "rule"
} | {
"answer": [
"12.0"
],
"id": "wikisql-54052",
"question": "What is the average starting grid for the 2007 Chinese Motorcycle Grand Prix competitors who completed less than 3 laps?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54053",
"question": "What is the average starting grid for competitors who had more than 22 laps and a time/failure of +17.276 for the 2007 Chinese Motorcycle Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54054",
"question": "What was the average number of laps for competitors with a grid greater than 11 and a time/gap of +28.108 for the 2007 Chinese Motorcycle Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-54065",
"question": "In the 1950 Italian Grand Prix when the driver was Juan Manuel Fangio and the lap count is less than 39, what is the highest starting grid?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alfa Romeo"
],
"style": "rule"
} | {
"answer": [
"Alfa Romeo"
],
"id": "wikisql-54066",
"question": "If grid is less than 7, laps are greater than 17 and time/retirement is +1:35.6, who is the constructor of the 1950 Italian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"15"
],
"style": "rule"
} | {
"answer": [
"15"
],
"id": "wikisql-54067",
"question": "What was the smallest starting grid at the 1950 Italian Grand Prix in Prince Bira's 1950 American Championship Car Racing?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-54068",
"question": "How many losses did the team with 22 goals and 8 games played in 1897 AHAC 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-54069",
"question": "What is the average number of draws at 1897 AHAC for teams with fewer than 5 wins, goals against over 37 and fewer than 8 games played?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26"
],
"style": "rule"
} | {
"answer": [
"26"
],
"id": "wikisql-54070",
"question": "How many goals conceded do teams with 7 wins in 1897 AHAC 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-54071",
"question": "How many wins were achieved for teams with more than 0 draws and 37 goals conceded for AHAC 1897?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"+ 2 Laps"
],
"style": "rule"
} | {
"answer": [
"+ 2 Laps"
],
"id": "wikisql-54077",
"question": "Tell me the time for laps of 42 and grids of 4 in the 1986 German Grand Prix, what is he retired for?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Piercarlo Ghinzani"
],
"style": "rule"
} | {
"answer": [
"Piercarlo Ghinzani"
],
"id": "wikisql-54078",
"question": "I want the driver who has 10 laps from the 1986 German Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"François Cevert"
],
"style": "rule"
} | {
"answer": [
"François Cevert"
],
"id": "wikisql-54084",
"question": "I want the driver for 9th place in the 1970 Austrian Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Louisiana-Monroe"
],
"style": "rule"
} | {
"answer": [
"Louisiana-Monroe"
],
"id": "wikisql-54085",
"question": "Which school has a quarterback in the 1982 Tampa Bay Buccaneers season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-54086",
"question": "1982 Tampa Bay Buccaneers, which round is pick number 242?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-54087",
"question": "In what round was Tom Morris selected in the 1982 Tampa Bay Buccaneers season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"128"
],
"style": "rule"
} | {
"answer": [
"128"
],
"id": "wikisql-54088",
"question": "What choice did Clemson make for the Tampa Bay Buccaneers' 1982 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": [
"20%"
],
"style": "rule"
} | {
"answer": [
"20%"
],
"id": "wikisql-54090",
"question": "What is the percentage of La Canada Flintridge if Tujunga in La Crescenta-Montrose, California is 7%?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"61%"
],
"style": "rule"
} | {
"answer": [
"61%"
],
"id": "wikisql-54092",
"question": "If La Crescenta-Montrose is 66% then what is Tujunga in California?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"26527"
],
"style": "rule"
} | {
"answer": [
"26527"
],
"id": "wikisql-54093",
"question": "What is the number for Tujunga if Pasadena in La Crescenta-Montrose, California is 134,941?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"41"
],
"style": "rule"
} | {
"answer": [
"41"
],
"id": "wikisql-54094",
"question": "What is the number for La Canada Flintridge when Pasadena is 34 years old, at La Crescenta-Montrose, California?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"The Lone Ranger"
],
"style": "rule"
} | {
"answer": [
"The Lone Ranger"
],
"id": "wikisql-54113",
"question": "If the position is less than 7, what appeared on the album for Suggs (singer)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"30.0"
],
"style": "rule"
} | {
"answer": [
"30.0"
],
"id": "wikisql-54114",
"question": "What is the average position for Suggs (singer) after 1996?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 (lb·ft)"
],
"style": "rule"
} | {
"answer": [
"N·m (lb·ft)"
],
"id": "wikisql-54121",
"question": "Which Mercedes-Benz W220 Torque model has a s63 amg ('01) ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4.3 24V"
],
"style": "rule"
} | {
"answer": [
"4.3 24V"
],
"id": "wikisql-54122",
"question": "What engine does a model of s430 have under Mercedes-Benz W220?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 24V CDI"
],
"style": "rule"
} | {
"answer": [
"3.2 24V CDI"
],
"id": "wikisql-54123",
"question": "Which engine has a model of s320 cdi under Mercedes-Benz W220?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kids` Choice Awards Argentina"
],
"style": "rule"
} | {
"answer": [
"Kids` Choice Awards Argentina"
],
"id": "wikisql-54125",
"question": "What was the best actress nomination for María Eugenia Suárez?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2008"
],
"style": "rule"
} | {
"answer": [
"2008"
],
"id": "wikisql-54126",
"question": "What year was Teen Angels 2 nominated under María Eugenia Suárez?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2011"
],
"style": "rule"
} | {
"answer": [
"2011"
],
"id": "wikisql-54127",
"question": "In what year was María Eugenia Suárez awarded in the Revelation category?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Teen Angels 2"
],
"style": "rule"
} | {
"answer": [
"Teen Angels 2"
],
"id": "wikisql-54128",
"question": "From the list under María Eugenia Suárez, name the performance that was nominated for a Capif Award. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Twitter Star of the Year"
],
"style": "rule"
} | {
"answer": [
"Twitter Star of the Year"
],
"id": "wikisql-54129",
"question": "In which category was she nominated under María Eugenia Suárez?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2011"
],
"style": "rule"
} | {
"answer": [
"2011"
],
"id": "wikisql-54130",
"question": "In what year was María Eugenia Suárez nominated for Best Actress at the Kids' Choice Awards Argentina?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-54131",
"question": "What are the average draws for the 1970–71 Segunda División if goal difference is greater than -3, goals conceded is 30 and points are greater than 45?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-54132",
"question": "What is the average playing time for the Segunda División 1970–71 when the club is \"Burgos CF\" and the draws are less than 7?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-54133",
"question": "What is the highest number of goals conceded in Segunda División 1970–71 when the club is \"Pontevedra CF\" and when played is 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": [
"y(ː)"
],
"style": "rule"
} | {
"answer": [
"y(ː)"
],
"id": "wikisql-54140",
"question": "What is pronunciation free spelled when the pronunciation checked is spelled \"ʏ\" in Dutch spelling?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-54141",
"question": "What is letter if tested example is \"tin /tɪn/ (\"tin\")\" in Dutch orthography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"eː"
],
"style": "rule"
} | {
"answer": [
"eː"
],
"id": "wikisql-54142",
"question": "What is the Dutch spelling of pronunciation free when pronunciation checked is spelled \"ɛ\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"ɪ"
],
"style": "rule"
} | {
"answer": [
"ɪ"
],
"id": "wikisql-54143",
"question": "What is the checked pronunciation when the example checked spelling is \"tin /tɪn/ (\"tin\")\" for Dutch spelling?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"open /ˈoːpə(n)/ (open)"
],
"style": "rule"
} | {
"answer": [
"open /ˈoːpə(n)/ (open)"
],
"id": "wikisql-54144",
"question": "What is the Dutch spelling example when written freely if the spelling check example is \"op /ɔp/ (\"on\")\"?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-54146",
"question": "What was the biggest tie at the 1949 World Ice Hockey Championships when the GP was more than 5?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.0%"
],
"style": "rule"
} | {
"answer": [
"0.0%"
],
"id": "wikisql-54164",
"question": "How high is the share of seats with a share of votes of 2.4% (-8.3) in the Bremen state elections in 1999?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"859.8"
],
"style": "rule"
} | {
"answer": [
"859.8"
],
"id": "wikisql-54165",
"question": "How many calories are in 1 watt hour under kilowatt hour?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-54172",
"question": "What are the biggest goals for Curtis Davies in Aston Villa FC season 2008/09 if the finish is bigger than 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": [
"2011"
],
"style": "rule"
} | {
"answer": [
"2011"
],
"id": "wikisql-54173",
"question": "If the transfer fee is £8.5m what is the total cost of Aston Villa FC for the 2008-09 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": [
"Apostolic Administration"
],
"style": "rule"
} | {
"answer": [
"Apostolic Administration"
],
"id": "wikisql-54181",
"question": "In the list of Roman Catholic dioceses in Albania, what is the type for the Albanian Rite?",
"split": "train"
} |
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