data_source stringclasses 1
value | agent_name stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|---|
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3.0"
],
"style": "rule"
} | {
"answer": [
"3.0"
],
"id": "wikisql-39751",
"question": "What was the rank for the finish time of 1:42.054 for canoeing at the 2008 Summer Olympics - Men's C-2 500 meters heat 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": [
"Canada"
],
"style": "rule"
} | {
"answer": [
"Canada"
],
"id": "wikisql-39752",
"question": "In Canoeing at the 2008 Summer Olympics - Men's C-2 500 meter heat 2, which country had a rank below 7 and a time of 1:43.189?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39756",
"question": "How many Bradford City Division Two Football League games of 1987–88 season have a score of 4–0 and an attendance greater than 12,256 in 1987–88?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0–2"
],
"style": "rule"
} | {
"answer": [
"0–2"
],
"id": "wikisql-39758",
"question": "Which Bradford City AFC Football League Division Two result of the 1987–88 season has a venue and game less than 43 and an opponent from Bournemouth?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39759",
"question": "What result has a home venue and date of October 3, 1987 in Bradford City AFC's Football League Division Two of the 1987–88 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": [
"4…48"
],
"style": "rule"
} | {
"answer": [
"4…48"
],
"id": "wikisql-39764",
"question": "What is the track number of a series D (conversion) in the list of Württemberg locomotives and railbuses of the first conversion period 1867-1887?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39765",
"question": "List of Württemberg locomotives and rail buses that have at least a T2A class: First conversion period 1867-1887 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tom Neville Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Tom Neville Category:Articles with hCards"
],
"id": "wikisql-39769",
"question": "Which player had a pick higher than 53 and a defensive tackle position in the seventh round of the 1965 American Football League Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Denver Broncos"
],
"style": "rule"
} | {
"answer": [
"Denver Broncos"
],
"id": "wikisql-39770",
"question": "Which team is Jim Garcia Category: Articles with hcards from the seventh round of the 1965 American Football League Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"49"
],
"style": "rule"
} | {
"answer": [
"49"
],
"id": "wikisql-39771",
"question": "What is the Purdue College Seventh Round Pick from the 1965 American Football League Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"US Open"
],
"style": "rule"
} | {
"answer": [
"US Open"
],
"id": "wikisql-39781",
"question": "Which tournament had an A in 2012 and Q2 in 2010 under Alexander Kudryavtsev's singles performance timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Q2"
],
"style": "rule"
} | {
"answer": [
"Q2"
],
"id": "wikisql-39782",
"question": "What is the year 2010 when they had a Q2 in 2009 under Alexander Kudryavtsev's singles performance timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Q1"
],
"style": "rule"
} | {
"answer": [
"Q1"
],
"id": "wikisql-39783",
"question": "How was 2012 during Wimbledon and did Alexander Kudryavtsev have a Q3 in the individual performance timeline in 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": [
"US Open"
],
"style": "rule"
} | {
"answer": [
"US Open"
],
"id": "wikisql-39784",
"question": "What was the name of the tournament when they had an A for Alexander Kudryavtsev on the individual performance timeline in 2011 and 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": [
"275"
],
"style": "rule"
} | {
"answer": [
"275"
],
"id": "wikisql-39785",
"question": "What is 2012 when 2009 was 205 for Alexander Kudryavtsev's individual achievement timeline?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39786",
"question": "How many col (m) have a prominence (m) of 2,344 from the list of European ultra-prominent peaks and ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1798.0"
],
"style": "rule"
} | {
"answer": [
"1798.0"
],
"id": "wikisql-39787",
"question": "Which celebrity (m) has a col (m) of 350 among European ultra celebrity peaks?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39788",
"question": "Among European ultra-celebrity summits, which altitude (m) has a prominence (m) less than 2,456, a summit of Mount Kyllini, a col (m) less than 506 and a score of ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mindaugas Griskonis"
],
"style": "rule"
} | {
"answer": [
"Mindaugas Griskonis"
],
"id": "wikisql-39789",
"question": "Who was the athlete from Lithuania among the rowers at the 2008 Summer Olympics - Men's Singles, Heat 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": [
"Promotion"
],
"style": "rule"
} | {
"answer": [
"Promotion"
],
"id": "wikisql-39793",
"question": "What kind of 2008/09 FC Schalke 04 has a Nat of Geo?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2012"
],
"style": "rule"
} | {
"answer": [
"2012"
],
"id": "wikisql-39795",
"question": "Which ends have the name Zambrano in FC Schalke 04 season 2008/09?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39816",
"question": "What is the percentage of draws with a contra ratio of 0.67 and 1 win in Inter Milan's list in European football?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-39817",
"question": "What are the Inter Milan matches with 50% draw for Team Milans By-Klubs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39818",
"question": "What are the total losses for Inter Milan in European football considering 2 games, 2 draws, 0% draws and less than 1 win in by-clubs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39819",
"question": "What is the sum of wins with a contra ratio of 0.83 and more than 1 losses for Inter Milan in European football By clubs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39847",
"question": "From list of top 10 longest serving all platform soap opera actors, what is the highest rank 1960-?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lesley Saweard"
],
"style": "rule"
} | {
"answer": [
"Lesley Saweard"
],
"id": "wikisql-39848",
"question": "What is the name of the actor in the top 10 longest serving soap opera actors across all platforms lasting 61 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": [
"1961, 1962–1966, 1967—"
],
"style": "rule"
} | {
"answer": [
"1961, 1962–1966, 1967—"
],
"id": "wikisql-39849",
"question": "In the list of longest serving soap opera actors, what are the years for the top 10 across all platforms? Eileen Derbyshire with a duration of 52 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": [
"Morgan , McRae , Long , Noonan"
],
"style": "rule"
} | {
"answer": [
"Morgan , McRae , Long , Noonan"
],
"id": "wikisql-39851",
"question": "Who are the rowers for Australia in Rowing at the 2008 Summer Olympics - Men's Quadruple Sculls, Heat 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-39852",
"question": "Under Rowing at the 2008 Summer Olympics – Men's Quadruple Sculls, where does Italy stand in heat one?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Donovan Bailey"
],
"style": "rule"
} | {
"answer": [
"Donovan Bailey"
],
"id": "wikisql-39868",
"question": "Which athlete has Reno as the location for all-time greatest athletes over 50 meters men?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39892",
"question": "Which tries for have points against more than 87 and tries against less than 28 and a +63 points difference for 1998–99 European Challenge Cup Pool 3?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-39893",
"question": "From the list of Pool 3 of the European Challenge Cup 1998–99, what points for has points against less than 93 and tries for more than 25?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"25"
],
"style": "rule"
} | {
"answer": [
"25"
],
"id": "wikisql-39894",
"question": "Which tries for has points against less than 124 and points for less than 241 and tries against less than 11 for Pool 3 of the 1998–99 European Challenge Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-39895",
"question": "Looking at the European Challenge Cup 1998-99, pool 3, how many tries does a team from Dinamo Bucureşti and tries for less than 19?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39900",
"question": "What were Terang-Mortlake's most byes in the 2009 Hampden Football Netball League ladder as they had 11+ wins and 1118+ vs ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39901",
"question": "How many wins did South Warrambool have in Hampden Football Netball League as Ladder 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39902",
"question": "How many byes in 2009 Hampden Football Netball League by Ladder if there are 16+ wins?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39903",
"question": "What is the lowest number of byes if there are more than 2 wins and 1946 vs 1946 in the 2009 Hampden Football Netball League Ladder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6.666666666666667"
],
"style": "rule"
} | {
"answer": [
"6.666666666666667"
],
"id": "wikisql-39904",
"question": "How many wins with less than 1 draw and more than 4 losses for the 2009 Hampden Football Netball League Ladder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Healers",
"A Walk in the Woods",
" On The Beach "
],
"style": "rule"
} | {
"answer": [
"The Healers",
"A Walk in the Woods",
" On The Beach "
],
"id": "wikisql-39918",
"question": "If the Humanitas award nominee is John Wells, what episode is in the list of awards and nominations received by ER for a year prior to 2004?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nominated"
],
"style": "rule"
} | {
"answer": [
"Nominated"
],
"id": "wikisql-39919",
"question": "What is the result of having Janine Sherman's Humanitas Award nominee(s) listed on the list of awards and nominations received from ER?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Nominated"
],
"style": "rule"
} | {
"answer": [
"Nominated"
],
"id": "wikisql-39920",
"question": "What is the result one year after 2003 if John Wells is the nominee in the ER Humanitas Awards list of awards and nominations?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39921",
"question": "From the list of awards and nominations ER has received, what is the earliest year that John Wells has been nominated and nominated for the Humanitas Awards for an episode of Makemba?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Friz Freleng"
],
"style": "rule"
} | {
"answer": [
"Friz Freleng"
],
"id": "wikisql-39927",
"question": "Who was the director of Clean Pastures (1937) among the Looney Tunes and Merrie Melodies (1929–39) filmographies?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1937-12-23"
],
"style": "rule"
} | {
"answer": [
"1937-12-23"
],
"id": "wikisql-39928",
"question": "What was the release date for the 1937 Looney Tunes and Merrie Melodies (1929–39) filmography for production number 8181?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"MM"
],
"style": "rule"
} | {
"answer": [
"MM"
],
"id": "wikisql-39929",
"question": "What was the series under the Looney Tunes and Merrie Melodies (1929–39) filmographies entitled \"1937\" directed by Frank Tashlin and production number 8053?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"MM"
],
"style": "rule"
} | {
"answer": [
"MM"
],
"id": "wikisql-39930",
"question": "Egghead Rides Again, which season was called Looney Tunes and Merrie Melodies Filmography (1929–39), Series 1937?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"28"
],
"style": "rule"
} | {
"answer": [
"28"
],
"id": "wikisql-39931",
"question": "What is the 1976/77 FA Cup 1976/77 FA Cup away first round tie at Port Vale?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1–0"
],
"style": "rule"
} | {
"answer": [
"1–0"
],
"id": "wikisql-39932",
"question": "What is the first round score of the Halifax Town Home correct game for the 1976–77 FA Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0–0"
],
"style": "rule"
} | {
"answer": [
"0–0"
],
"id": "wikisql-39933",
"question": "What is 1976–77 FA Cup result for first round suitable for Scarborough home game?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39938",
"question": "What lane was Emily Seebohm on in swimming at the 2008 Summer Olympics - Women's 100m Backstroke, Semifinals 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": [
"Tony Lorick Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Tony Lorick Category:Articles with hCards"
],
"id": "wikisql-39942",
"question": "Who is Team Oakland's RB player in the first round of the 1964 American Football League Draft?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"New York"
],
"style": "rule"
} | {
"answer": [
"New York"
],
"id": "wikisql-39943",
"question": "In the first round of the 1964 American Football League Draft, what is the Ohio State player's team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-39944",
"question": "What is the highest rank in athletics at the 2008 Summer Olympics - women's 100 meters for Uzbekistan with a time greater than 11.44 in Round 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"10.0"
],
"style": "rule"
} | {
"answer": [
"10.0"
],
"id": "wikisql-39945",
"question": "What is the average run at 30 in Athletics at the 2008 Summer Olympics - Women's 100 meters, Round 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"12.41"
],
"style": "rule"
} | {
"answer": [
"12.41"
],
"id": "wikisql-39946",
"question": "What is the average time of track and field at the 2008 Summer Olympics - women's 100 meters ranked 61st in Round 1?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-39947",
"question": "How much capacity does a 2003 Holden Commodore Ute vehicle have in Targa Tasmania's 2008 Rookie Rally Modern 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": [
"Catt"
],
"style": "rule"
} | {
"answer": [
"Catt"
],
"id": "wikisql-39948",
"question": "Which navigation navigator had an overall time of 08:29 in Targa Tasmania's 2008 Rookie Rally Modern 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": [
"3400"
],
"style": "rule"
} | {
"answer": [
"3400"
],
"id": "wikisql-39949",
"question": "Regarding Targa Tasmania's Rookie Rally Modern Competition in 2008, what capacity does a 22cc class and a 1999 Subaru Impreza Wrx Sti vehicle have?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Waldon"
],
"style": "rule"
} | {
"answer": [
"Waldon"
],
"id": "wikisql-39950",
"question": "Which driver in the 2008 Targa Tasmania Rookie Rally Modern Competition has a capacity of less than 5700 and an overall time of 08:29?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39951",
"question": "What is the total number of losses for teams with more than 0 byes in the Ladder Sunraysia Football League 2009?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39952",
"question": "What is the total ties for teams equivalent to 1731 and losing less than 10 for the Sunraysia Football League 2009 Ladder?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1956-05-19"
],
"style": "rule"
} | {
"answer": [
"1956-05-19"
],
"id": "wikisql-39953",
"question": "When was Tree Cornered Tweety directed by Friz Freleng released alongside Looney Tunes and Merrie Melodies (1950-59's 1956) filmography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1956-01-28"
],
"style": "rule"
} | {
"answer": [
"1956-01-28"
],
"id": "wikisql-39954",
"question": "When was Too Hop to Handle between Looney Tunes and Merrie Melodies (1950–59) filmography (1956) released?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"LT"
],
"style": "rule"
} | {
"answer": [
"LT"
],
"id": "wikisql-39955",
"question": "Among the Looney Tunes and Merrie Melodies (1950–59) filmographies, which 1956 series is the title Barbary Coast Bunny from?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Harald Stenvaag ( NOR )"
],
"style": "rule"
} | {
"answer": [
"Harald Stenvaag ( NOR )"
],
"id": "wikisql-39963",
"question": "After 1982, what gold medal did Mark Walters win at the World Men's 300m Prone Championships in Moscow?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"57"
],
"style": "rule"
} | {
"answer": [
"57"
],
"id": "wikisql-39964",
"question": "From the women's artistic gymnastics medal table at the Summer Olympics, what is the lowest total that has a rank less than 8, a silver greater than 6, and 20 for bronze?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39965",
"question": "What is the average silver score with a gold score greater than 3 in women's Olympic artistic gymnastics at the Summer Olympics with the Soviet Union (urs) as the nation and a bronze score greater than 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-39966",
"question": "What is the highest silver, totaling 57, with a bronze greater than 20, among women in artistic gymnastics at the Summer Olympics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39967",
"question": "What rank does a gold greater than 0, 0 as bronze, with Germany (ger) as nation in artistic gymnastics at the Summer Olympics, Women?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39968",
"question": "How many bronze medals in total have 1, with Spain (ESP) as the nation, and a gold medal greater than 0 among artistic gymnastics at the 2012 Summer Olympics for Women?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39995",
"question": "What is the highest result for Wallace Spearmon if the reaction time is greater than .167 in Athletics at the 2008 Summer Olympics - Men's 200 Meters Final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20.4"
],
"style": "rule"
} | {
"answer": [
"20.4"
],
"id": "wikisql-39996",
"question": "What was the final result for Track 3 for Athletics at the 2008 Summer Olympics - Men's 200 meters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-39997",
"question": "What is the lowest result for Christian Malcolm with a reaction time greater than .185 and a lane higher than 3 among track and field athletes at the 2008 Summer Olympics - Men's 200m Final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40007",
"question": "How many times is the name Matt Targett and the lane higher than 7 for Swimming at the 2008 Summer Olympics - Men's 100m Freestyle Semi-Final 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": [
"47.05"
],
"style": "rule"
} | {
"answer": [
"47.05"
],
"id": "wikisql-40008",
"question": "What is the highest time for swimming at the 2008 Summer Olympics - Men's 100m Freestyle if the rank is less than 5 and the name is Eamon Sullivan's semifinal 2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8.0"
],
"style": "rule"
} | {
"answer": [
"8.0"
],
"id": "wikisql-40009",
"question": "What is the average rank when lane is more than 4 and name is Dominik Meichtry in 2008 Summer Olympics Swimming - Men's 100m Freestyle - Semifinals 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-40016",
"question": "Which rank in canoeing at the 2008 Summer Olympics - Men's C-1 1000 meters has a time of 4:00.191 in heat 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": [
"4:17.407"
],
"style": "rule"
} | {
"answer": [
"4:17.407"
],
"id": "wikisql-40017",
"question": "What is the time for Brazil in canoeing at the 2008 Summer Olympics - Men's C-1 1000 meters Heat 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": [
"1966-08-20"
],
"style": "rule"
} | {
"answer": [
"1966-08-20"
],
"id": "wikisql-40028",
"question": "What is the release date of Feather Finger with a MM series in the Looney Tunes and Merrie Melodies (1960–69) 1966 filmography?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40035",
"question": "What is the lowest bronze count if the silver count is less than 0 for 10m disc mixed world championships overall medals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-40036",
"question": "What is the lowest silver if the total is more than 2, bronze is 3, gold is more than 0 and rank 1 is 10 meter mixed disc World Championships overall medals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-40037",
"question": "What is the number of Silver if the total is more than 2 and Bronze is less than 3 with a rank of 7 for 10m Disc Mixed World Championship Total Medals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40038",
"question": "Swimming at the 2008 Summer Olympics - Men's 50m Freestyle Semifinals, 2. What is the time of a lane less than 4 and a rank greater than 6?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40039",
"question": "Which rank among the swimmers for the men's 50m freestyle semi-final 2 of the 2008 Summer Olympics has French nationality, the name of Alain Bernard and a lane smaller than 6?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Australia"
],
"style": "rule"
} | {
"answer": [
"Australia"
],
"id": "wikisql-40040",
"question": "Among Swimming at the 2008 Summer Olympics - Men's 50m Freestyle, Semifinals 2, which nationality has a rank greater than 1 and a time less than 22.12 and a lane less than 4 and a name of Ashley Callus?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9 Oct 1948"
],
"style": "rule"
} | {
"answer": [
"9 Oct 1948"
],
"id": "wikisql-40060",
"question": "From Scotland dual code rugby internationals list, what date was rl 1st test Great Britain v australia cross code debut and international debut was RU Five Nations v Ireland?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1951"
],
"style": "rule"
} | {
"answer": [
"1951"
],
"id": "wikisql-40061",
"question": "What year was player David Rose in Scotland's dual code rugby internationals list?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0 - 0; 6 - 5 ( PSO )"
],
"style": "rule"
} | {
"answer": [
"0 - 0; 6 - 5 ( PSO )"
],
"id": "wikisql-40078",
"question": "What is the first round result for the home south team in the 2008-09 HKFA 7-A-Side 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": [
"14:00"
],
"style": "rule"
} | {
"answer": [
"14:00"
],
"id": "wikisql-40079",
"question": "What time is it for the home south team in the first round of the 2008-09 HKFA 7-A-Side 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-40083",
"question": "Who was the lowest rower from Great Britain in Rowing at the 2008 Summer Olympics - Men's Double Sculls, Heat 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": [
"R"
],
"style": "rule"
} | {
"answer": [
"R"
],
"id": "wikisql-40084",
"question": "What are the notes for the rower in ranks above 2 and with a time of 7:00:46 in Rowing at the 2008 Summer Olympics - Men's Double Sculls, Heat 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": [
"Tokyo Tower ~Okan to Boku to, Tokidoki, Oton~"
],
"style": "rule"
} | {
"answer": [
"Tokyo Tower ~Okan to Boku to, Tokidoki, Oton~"
],
"id": "wikisql-40101",
"question": "Which romaji title has 11 episodes and a Fuji TV TV channel and average ratings of 14.9% among Japanese TV dramas of the winter season 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-40107",
"question": "How many converts have a number of 35 and a retired number less than 1952 among the British Rail Eastern Region's Great Eastern Section department 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-40108",
"question": "How many retired a number of 42 and one or more previous numbers greater than 68178 among the British Rail Eastern Region's Great Eastern Section departmental 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-40109",
"question": "Which withdrawn has an earlier class of j69 and earlier number(s) less than 68532 and a converted greater than 1959 among the British Rail Eastern Region's Great Eastern Division departmental 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": [
"Nathan Twaddle , George Bridgewater"
],
"style": "rule"
} | {
"answer": [
"Nathan Twaddle , George Bridgewater"
],
"id": "wikisql-40124",
"question": "Who is the athlete with a 6:36.05 rowing time in the 2008 Summer Olympics Rowing - Coxless Men's A/B 1 Semifinals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2–3"
],
"style": "rule"
} | {
"answer": [
"2–3"
],
"id": "wikisql-40129",
"question": "What is the result of the 1976/77 FA Cup second round when Watford was the away 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": [
"1–1"
],
"style": "rule"
} | {
"answer": [
"1–1"
],
"id": "wikisql-40130",
"question": "When is the result when York City was the home side of the 1976-77 FA Cup second round?",
"split": "train"
} |
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