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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40411",
"question": "What is the average number of losses when there are more than 4 wins and concedings in the 1938 ladder in the Hampden Football Netball League is more than 1728?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40412",
"question": "What is the total number of ties if there is 1 win and less than 1728 games against for the Hampden Football Netball League 1938 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40413",
"question": "What is the highest tally of wins less than 2 losses in the 1938 Ladder Hampden Football Netball League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40414",
"question": "What is the highest number of losses for Cobden Club in the 1938 Hampden Football Netball League ladder if there is less than 1 win?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40415",
"question": "What is the average number of wins for Ladder's Terang Club 1938 when there are fewer than 0 draws in Hampden Football Netball League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40418",
"question": "How many boroughs have people before winning as a party and a borough greater than 0 in the Irish local elections of all councils 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-40419",
"question": "How many boroughs in the List of All Councils have a total of 2 and 0 as a town with a town less than 1 in the 2009 Irish local elections?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40443",
"question": "How many wins are there when ties are less than 0 in 1940 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40444",
"question": "What are the most losses when there are 5 wins and less than 0 ties for Hampden Football Netball League 1940 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40445",
"question": "What are Terang's most wins with fewer than 0 draws in Hampden Football Netball League 1940 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40446",
"question": "What is lowest when ties are more than 0 and losses are less than 3 for 1940 Ladder Hampden Football Netball League?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40447",
"question": "What are the lowest losses of Warrnambool in Hampden Football Netball League in 1940 Ladder with more than 6 wins and less than 630 against ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40448",
"question": "What are the Cobden draws if there are 3+ losses for the 1940 Hampden Football Netball League leaders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Junior Coffey Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Junior Coffey Category:Articles with hCards"
],
"id": "wikisql-40465",
"question": "Which player was selected earlier than 126 by the Houston Oilers in the sixteenth 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": [
"Olivet"
],
"style": "rule"
} | {
"answer": [
"Olivet"
],
"id": "wikisql-40466",
"question": "Which college was later than 122 selected by the Boston Patriots in the sixteenth 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": [
"+12"
],
"style": "rule"
} | {
"answer": [
"+12"
],
"id": "wikisql-40467",
"question": "What's right for Geoff Ogilvy at the 2009 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40468",
"question": "In which country did Geoff Ogilvy make the cut at the 2009 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40469",
"question": "What's Right for Retief Goosen at the 2009 US Open (Golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40470",
"question": "How many times has player Jim Furyk made it at US Open 2009 (golf)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T6"
],
"style": "rule"
} | {
"answer": [
"T6"
],
"id": "wikisql-40477",
"question": "What was the rank of the player who scored 70-69-68=207 in the third round of the Women's British Open 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": [
"Japan"
],
"style": "rule"
} | {
"answer": [
"Japan"
],
"id": "wikisql-40478",
"question": "Which country was the 10th place player with a score of 66-72-70=207 in the third round of the 2008 British Open?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40479",
"question": "What is the performance of Cristie Kerr of the United States in the third round of the 2008 British Open - 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": [
"Molenechos (Dutch)",
"Molenechos (Dutch)",
"Molenechos (Dutch)"
],
"style": "rule"
} | {
"answer": [
"Molenechos (Dutch)",
"Molenechos (Dutch)",
"Molenechos (Dutch)"
],
"id": "wikisql-40492",
"question": "In the list of windmills in Belgium, what are the notes of the mill built in Namur in the 19th century?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Grondzeiler"
],
"style": "rule"
} | {
"answer": [
"Grondzeiler"
],
"id": "wikisql-40493",
"question": "What is the type of mill in Molen de Stud among the Namur list of windmills in Belgium?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Moulin Michaux"
],
"style": "rule"
} | {
"answer": [
"Moulin Michaux"
],
"id": "wikisql-40494",
"question": "What is the name of the windmill built in 1802 in Namur's list of windmills in Belgium?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Frasnes-lez-Couvin"
],
"style": "rule"
} | {
"answer": [
"Frasnes-lez-Couvin"
],
"id": "wikisql-40495",
"question": "Where is the early 19th-century windmill on the list of Belgian windmills from Namur?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Finland"
],
"style": "rule"
} | {
"answer": [
"Finland"
],
"id": "wikisql-40510",
"question": "Which nation among multiple Olympic medalists has Paavo Nurmi as athletes with medal count less than 12?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gymnastics"
],
"style": "rule"
} | {
"answer": [
"Gymnastics"
],
"id": "wikisql-40511",
"question": "Which sport has 17 as the medal count in the list of multiple Olympic medalists?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Discus G",
"Long jump S"
],
"style": "rule"
} | {
"answer": [
"Discus G",
"Long jump S"
],
"id": "wikisql-40512",
"question": "Among multiple Olympic medalists, what record medal event has the timeline of athletics as a sport, with Robert Garrett as the athlete and a medal count less than 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": [
"71-72-69-69=281"
],
"style": "rule"
} | {
"answer": [
"71-72-69-69=281"
],
"id": "wikisql-40516",
"question": "In the finals of the 2009 Open Championship, whose score has a money (£) of 90,400 and a country from South Africa and a player from Thomas Aiken. Question 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": [
"157000"
],
"style": "rule"
} | {
"answer": [
"157000"
],
"id": "wikisql-40517",
"question": "How much money (£) does Australia have in the 2009 Open Championship finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"90400"
],
"style": "rule"
} | {
"answer": [
"90400"
],
"id": "wikisql-40518",
"question": "Count South Africa's money (£) with a +1 to par and a player from Ernie Els among the 2009 Open Championship finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"T1"
],
"style": "rule"
} | {
"answer": [
"T1"
],
"id": "wikisql-40519",
"question": "Where is a Tom Watson player in the 2009 Open Championship finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"70-72-69-70=281"
],
"style": "rule"
} | {
"answer": [
"70-72-69-70=281"
],
"id": "wikisql-40520",
"question": "Which Open Championship 2009 score has a to par of +1 in Sweden's final round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40521",
"question": "How did Thomas Aiken perform in the 2009 Open Championship finals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rapid București"
],
"style": "rule"
} | {
"answer": [
"Rapid București"
],
"id": "wikisql-40524",
"question": "What is the opponent in the first round of the UEFA Cup with a score of 3-1 (h), 2-0 (a) under Inter Milan in the matches of 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": [
"1998–99"
],
"style": "rule"
} | {
"answer": [
"1998–99"
],
"id": "wikisql-40525",
"question": "What is the season of the match between Inter Milan in European football with a score of 0–2 (a), 3–1 (h)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1980"
],
"style": "rule"
} | {
"answer": [
"1980"
],
"id": "wikisql-40527",
"question": "How many years does a Howe site remain in the Northeast Corner Conference of Indiana's Former Members?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Shipshewanna-Scott"
],
"style": "rule"
} | {
"answer": [
"Shipshewanna-Scott"
],
"id": "wikisql-40528",
"question": "Which school has a year left over from 1966 and a Native American mascot among the former members of the Northeast Corner Conference of Indiana?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1998"
],
"style": "rule"
} | {
"answer": [
"1998"
],
"id": "wikisql-40544",
"question": "This is the full year that Neal Baer is a nominee among the list of awards and nominations received from ER's WGA Awards.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Exodus"
],
"style": "rule"
} | {
"answer": [
"Exodus"
],
"id": "wikisql-40545",
"question": "From the list of awards and nominations received from ER's WGA Awards, for which episode was nominee Walon Green, Joe Sachs nominated as a result?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40546",
"question": "List of awards and nominations ER has received where nominee Neal Baer has what result at the WGA Awards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Storm, part 1",
"On The Beach"
],
"style": "rule"
} | {
"answer": [
"The Storm, part 1",
"On The Beach"
],
"id": "wikisql-40547",
"question": "In which episode after 1998 was John Wells the nominee on the list of awards and nominations received from ER's WGA Awards?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 August 1992"
],
"style": "rule"
} | {
"answer": [
"4 August 1992"
],
"id": "wikisql-40558",
"question": "What is the start date for the terms of office of Deputy Ministers von Meretz from the Department of Housing and Works?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40559",
"question": "How many teams participate in the Turkish Cup if the remaining clubs are 2 in the team breakdown?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"86"
],
"style": "rule"
} | {
"answer": [
"86"
],
"id": "wikisql-40560",
"question": "How many newcomers when the leagues enter the round are the third division and Turkish regional amateur league for the Turkish cup teams distribution?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"113"
],
"style": "rule"
} | {
"answer": [
"113"
],
"id": "wikisql-40561",
"question": "How many Turkish Cup clubs remain in the second round of the team breakdown?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Semi-finals"
],
"style": "rule"
} | {
"answer": [
"Semi-finals"
],
"id": "wikisql-40562",
"question": "In which round are 4 clubs involved in Turkish Cup team distribution?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40563",
"question": "How many clubs are involved if there are 4 winners from previous rounds and more than 4 clubs remain in Turkish Cup team distribution?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Leeds United"
],
"style": "rule"
} | {
"answer": [
"Leeds United"
],
"id": "wikisql-40564",
"question": "How is the away team in the game with a score of 4 – 2 in the Northern Section of the Football League Trophy 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": [
"6"
],
"style": "rule"
} | {
"answer": [
"6"
],
"id": "wikisql-40565",
"question": "What is the tie of the game with 4,658 spectators for the Northern Section of the 2008-09 Football League Trophy?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Leicester City"
],
"style": "rule"
} | {
"answer": [
"Leicester City"
],
"id": "wikisql-40566",
"question": "What is the home team away to Lincoln City in the 2008-09 Northern Section Football League Trophy?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Huddersfield Town"
],
"style": "rule"
} | {
"answer": [
"Huddersfield Town"
],
"id": "wikisql-40567",
"question": "What is the away team in the game with a score of 1-0 and a crowd of 1,791 for the Northern Section of the Football League Trophy 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": [
"Rochdale"
],
"style": "rule"
} | {
"answer": [
"Rochdale"
],
"id": "wikisql-40568",
"question": "What is the home team of the game with a score of 2-2 in the Northern Section of the 2008-09 Football League Trophy?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8046"
],
"style": "rule"
} | {
"answer": [
"8046"
],
"id": "wikisql-40569",
"question": "What is the 2008/09 Football League Trophy attendance of the game with a score of 0-0 in the Northern Section?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40571",
"question": "Considering the list of Game of the Year awards, what year were Nintendo EAD, Monolith Soft as developer in G4?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Thornhill, ON"
],
"style": "rule"
} | {
"answer": [
"Thornhill, ON"
],
"id": "wikisql-40572",
"question": "What is the location for the restaurant makeover when the designer is Glen Peloso and the restaurant is Joe Boos Cookoos Season 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": [
"6.0"
],
"style": "rule"
} | {
"answer": [
"6.0"
],
"id": "wikisql-40579",
"question": "What is the rank of the 2008 men's 100m breaststroke swimmer with a time of 1:00.61 in Semifinal 1 of the 2008 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": [
"3.0"
],
"style": "rule"
} | {
"answer": [
"3.0"
],
"id": "wikisql-40580",
"question": "What is the lane with a time of 1:00.66 in swimming at the 2008 Summer Olympics in Semifinal 1 in the men's 100m breaststroke?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40581",
"question": "What is the rank of swimming in the 2008 Summer Olympics Semi-Final 1 - Men's 100m Breaststroke when the time was 59.65?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40598",
"question": "What is the total reaction number with a time under 20.05 and a lane under 6 at the 2007 IAAF World Championships, Men's 1:200 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40599",
"question": "What is the average reaction of Bryan Barnett, who has a track less than 2 in Semifinal 1 of the 2007 IAAF World Championships in 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": [
"1977"
],
"style": "rule"
} | {
"answer": [
"1977"
],
"id": "wikisql-40600",
"question": "What year did the Hornets leave the Hoosier Athletic Conference to become the former members of Eastern Illinois?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rensselaer"
],
"style": "rule"
} | {
"answer": [
"Rensselaer"
],
"id": "wikisql-40601",
"question": "What is the former member of the Hoosier Athletic Conference, what city was the team based in that left the conference in 1949?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1947"
],
"style": "rule"
} | {
"answer": [
"1947"
],
"id": "wikisql-40602",
"question": "What year did the Winamac-based team join the former members of the Hoosier Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"79 Tippecanoe"
],
"style": "rule"
} | {
"answer": [
"79 Tippecanoe"
],
"id": "wikisql-40603",
"question": "From which district was the team that left the 1993 conference among the former members of the Hoosier Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1958"
],
"style": "rule"
} | {
"answer": [
"1958"
],
"id": "wikisql-40605",
"question": "In what year did the western school team join the alumni of the Hoosier Athletic Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40608",
"question": "In swimming at the 2008 Summer Olympics - women's 100m backstroke, what is the lowest run that had a time of 1:02.85 on a lane greater 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": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-40609",
"question": "What is the sum of the laps before heat 7 Elizabeth Simmonds swum swimming at the 2008 Summer Olympics - Women's 100m Backstroke?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Chinese Taipei"
],
"style": "rule"
} | {
"answer": [
"Chinese Taipei"
],
"id": "wikisql-40615",
"question": "What nationality is Hsu Chi-Chieh in Swimming at the 2008 Summer Olympics - Men's 200m Butterfly Semifinals 1 with a lane greater than 1 and a rank greater 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"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-40616",
"question": "What is the lane with a time of 1:56.64 and a tank less than 7 in swimming at the 2008 Summer Olympics - Men's 200m Butterfly Semi-Final 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": [
"1:54.31"
],
"style": "rule"
} | {
"answer": [
"1:54.31"
],
"id": "wikisql-40618",
"question": "What is the time for Russia in Swimming at the 2008 Summer Olympics - Men's 200m Butterfly Semifinals 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": [
"2–1"
],
"style": "rule"
} | {
"answer": [
"2–1"
],
"id": "wikisql-40626",
"question": "What was the result for the Brentford away team in the second round proper of the 1977/78 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": [
"Replay"
],
"style": "rule"
} | {
"answer": [
"Replay"
],
"id": "wikisql-40627",
"question": "What was the result of the tied game or away team of Crewe Alexandra in the 1977–78 FA Cup second round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17 December 1977"
],
"style": "rule"
} | {
"answer": [
"17 December 1977"
],
"id": "wikisql-40628",
"question": "What was the date of the Wrexham away team's second round match for the 1977/78 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": [
"17 December 1977"
],
"style": "rule"
} | {
"answer": [
"17 December 1977"
],
"id": "wikisql-40629",
"question": "What was the date of the game for the Hartlepool United team in the 1977/78 FA Cup second round?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gus Otto Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Gus Otto Category:Articles with hCards"
],
"id": "wikisql-40638",
"question": "What is the 1965 American Football League Draft player if the team is in the fourth round of the Oakland Raiders?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Jets"
],
"style": "rule"
} | {
"answer": [
"New York Jets"
],
"id": "wikisql-40639",
"question": "Which is the team if the college is Virginia Tech fourth-round draft 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": [
"Virginia Tech"
],
"style": "rule"
} | {
"answer": [
"Virginia Tech"
],
"id": "wikisql-40640",
"question": "Which college does a New York Jets team pick in the fourth 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": [
"Kansas City Chiefs (from Buffalo Bills)"
],
"style": "rule"
} | {
"answer": [
"Kansas City Chiefs (from Buffalo Bills)"
],
"id": "wikisql-40641",
"question": "For the fourth round of the 1965 American Football League Draft, if the college is Saginaw Valley State, which team has a pick greater than 30?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32"
],
"style": "rule"
} | {
"answer": [
"32"
],
"id": "wikisql-40642",
"question": "What is the top pick if the college is Saginaw Valley State in the fourth 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": [
"2:08.83"
],
"style": "rule"
} | {
"answer": [
"2:08.83"
],
"id": "wikisql-40657",
"question": "Swimming at the 2008 Summer Olympics - women's 200m butterfly, what is Australia's time in the heat over 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-40658",
"question": "What is the lane number of Sara Isakovič, who had a run of 3-200m butterfly at the 2008 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-40659",
"question": "What is the run measured in 2:08:54 for the 2008 Summer Olympics swimming - women's 200m butterfly?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jack King"
],
"style": "rule"
} | {
"answer": [
"Jack King"
],
"id": "wikisql-40660",
"question": "Who is the director of Fish Tales in Looney Tunes and Merrie Melodies (1929–39) filmography in 1936?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1936-12-28"
],
"style": "rule"
} | {
"answer": [
"1936-12-28"
],
"id": "wikisql-40662",
"question": "In the Looney Tunes and Merrie Melodies (1929–39) filmography, is the Milk and Money release date in 1936?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1936-01-11"
],
"style": "rule"
} | {
"answer": [
"1936-01-11"
],
"id": "wikisql-40663",
"question": "What is the release date of I Wanna Play House (1936) 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": [
"Frank Tashlin"
],
"style": "rule"
} | {
"answer": [
"Frank Tashlin"
],
"id": "wikisql-40664",
"question": "Who is the director of the 1936 film Little Beau Porky 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": [
"1936-04-24"
],
"style": "rule"
} | {
"answer": [
"1936-04-24"
],
"id": "wikisql-40665",
"question": "What is the Looney Tunes and Merrie Melodies (1929–39) filmography release date for The Blow Out's 1936?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40690",
"question": "What is the long number if the win for the 2009 Kentucky Wildcats Football Team Rushing is less than 0?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.0"
],
"style": "rule"
} | {
"answer": [
"1.0"
],
"id": "wikisql-40691",
"question": "What is the loss if the average win is less than 16.7, the win is 104 and the long position is greater than 4 for the 2009 Kentucky Wildcats football team's rushing?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7:05.48"
],
"style": "rule"
} | {
"answer": [
"7:05.48"
],
"id": "wikisql-40692",
"question": "What is the time in Rowing 2008 Quarterfinal 3 at the 2008 Summer Olympics - Men's Singles for Estonia with sc/d grades?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7:29.21"
],
"style": "rule"
} | {
"answer": [
"7:29.21"
],
"id": "wikisql-40693",
"question": "What is the time of rank after 5 with sc/d scores for rowing at the 2008 Summer Olympics - Men's Singles Quarterfinals 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": [
"7:29.21"
],
"style": "rule"
} | {
"answer": [
"7:29.21"
],
"id": "wikisql-40694",
"question": "What was Law Hiu Fung's time for the men's singles rowing quarterfinals at the 2008 Summer Olympics 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": [
"7:29.21"
],
"style": "rule"
} | {
"answer": [
"7:29.21"
],
"id": "wikisql-40695",
"question": "What is the time of rank after 5 with sc/d scores for Rowing at the 2008 Summer Olympics - Men's Singles Quarterfinals 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": [
"2"
],
"style": "rule"
} | {
"answer": [
"2"
],
"id": "wikisql-40696",
"question": "What is the highest ranking for a time of 6:52.70 and grades of sa/b in Rowing at the 2008 Summer Olympics - Men's Singles Quarterfinals 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": [
"4"
],
"style": "rule"
} | {
"answer": [
"4"
],
"id": "wikisql-40697",
"question": "What is the lowest rank named Paul Biedermann in swimming at the 2008 Summer Olympics - Men's 200m 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": [
"South Korea"
],
"style": "rule"
} | {
"answer": [
"South Korea"
],
"id": "wikisql-40698",
"question": "What nationality has 2 the rank of Swimming at the 2008 Summer Olympics - Men's 200m 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-40699",
"question": "What is the highest track in the 2nd semi-final of swimming at the 2008 Summer Olympics - men's 200m freestyle that is named Nimrod Shapira Bar or?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"John Daly"
],
"style": "rule"
} | {
"answer": [
"John Daly"
],
"id": "wikisql-40709",
"question": "Which player was +4 to par and won the 1995 Open for the 2009 Open Championship?",
"split": "train"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.