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": [
"Paul Lawrie"
],
"style": "rule"
} | {
"answer": [
"Paul Lawrie"
],
"id": "wikisql-40710",
"question": "Which player in the Made the Cut 2009 Open Championships has a to par of +8 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Portugal"
],
"style": "rule"
} | {
"answer": [
"Portugal"
],
"id": "wikisql-40711",
"question": "Which country will finish lower than 2nd in Rowing at the 2008 Summer Olympics - Repechage 2 in Men's Lightweight Double Sculls?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40712",
"question": "What is the rank if the time is 6:50.48 for 2008 Summer Olympics Rowing - Men's Easy Sculls Repechage 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-40713",
"question": "What is the highest rank sa/b and a time of 6:39.07 for Rowing at the 2008 Summer Olympics – Repechage 2 Men's Lightweight Double Sculls?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"SC/D"
],
"style": "rule"
} | {
"answer": [
"SC/D"
],
"id": "wikisql-40714",
"question": "If the rank is more than 4 and the country is South Korea for 2008 Summer Olympics Rowing - Repechage 2 in Men's Lightweight Doubles Sculls, what grades are shown?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40722",
"question": "Since the 1999 Torneo Apertura of Paraguayan football, how many wins when position was greater than 6 and goal conceded was 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": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-40723",
"question": "How many defeats have there been with less than 4 draws and 9 points for Torneo Apertura 1999 in Paraguayan 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-40724",
"question": "How many wins did Torneo Apertura have in Paraguay 1999, conceding fewer than 26 goals and conceding more than 23?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Andrew Steele"
],
"style": "rule"
} | {
"answer": [
"Andrew Steele"
],
"id": "wikisql-40730",
"question": "Which athlete has a reaction of .248 among the track and field athletes at the 2008 Summer Olympics - Men's 400 meters - Heat 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-40731",
"question": "Which rank has a reaction of .198 and a time less than 46.3 for Athletics at the 2008 Summer Olympics - Men's 400 meter dash, 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-40732",
"question": "Which lane has a time greater than 47.83 in Athletics at the 2008 Summer Olympics - Men's 400 meters, heat 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-40733",
"question": "Which reaction has a rank less than 4 and a nationality of Trinidad and Tobago and a time greater than 45.13 in Athletics at the 2008 Summer Olympics - Men's 400 meters, 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": [
"36"
],
"style": "rule"
} | {
"answer": [
"36"
],
"id": "wikisql-40737",
"question": "What is the pick for the New York Jets with a defensive end in the fifth 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": [
"40"
],
"style": "rule"
} | {
"answer": [
"40"
],
"id": "wikisql-40738",
"question": "What is the fifth round pick for Georgia Tech in 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": [
"Smith Reed Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Smith Reed Category:Articles with hCards"
],
"id": "wikisql-40739",
"question": "What is Halfback playing under the 1965 American Football League Fifth Round Drafts?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"San Diego Chargers"
],
"style": "rule"
} | {
"answer": [
"San Diego Chargers"
],
"id": "wikisql-40740",
"question": "Which Team is 1965 American Football League Draft for Washington College Fifth 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": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-40745",
"question": "Who was eliminated who finished 3rd and lasted 35:55 under No Way Out (2009)'s Elimination Chamber entries and eliminations (SmackDown)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Shi Dongpeng"
],
"style": "rule"
} | {
"answer": [
"Shi Dongpeng"
],
"id": "wikisql-40761",
"question": "Among the 2008 Summer Athletics Games - Men's 110 km hurdles, which athlete has a rank greater than 1 and a lane greater than 7 and a Chinese nationality in 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40762",
"question": "How many lanes have a time greater than 13.59 and a rank greater than 8 for Athletics at the 2008 Summer Olympics - Men's 110m hurdles 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40763",
"question": "How many lanes are of French nationality and rank greater than 8 for Athletics at the 2008 Summer Olympics - Men's 110m hurdles 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": [
"F"
],
"style": "rule"
} | {
"answer": [
"F"
],
"id": "wikisql-40770",
"question": "What is the comp for 1998-04-22 in 1998 in the Paraguayan national team of Paraguayan 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": [
"1 - 1"
],
"style": "rule"
} | {
"answer": [
"1 - 1"
],
"id": "wikisql-40771",
"question": "Regarding 1998 in Paraguayan football, what is the status (Round 6) with Paraguayan national team match at Olympic Stadium Tokyo, Japan 1998?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kirin Cup"
],
"style": "rule"
} | {
"answer": [
"Kirin Cup"
],
"id": "wikisql-40772",
"question": "What is Tokyo Olympic Stadium, Japan's 1998 competition in the Paraguayan national football team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"459"
],
"style": "rule"
} | {
"answer": [
"459"
],
"id": "wikisql-40773",
"question": "What is the report at the King Baudouin Stadium in Brussels, Belgium in 1998 in the Paraguayan national football team?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"32.30%"
],
"style": "rule"
} | {
"answer": [
"32.30%"
],
"id": "wikisql-40774",
"question": "What is the percentage loss for the competitor with a starting weight over 102kg who lost 46.9kg below the weigh-in results of The Biggest Loser Australia: Couples elimination?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40775",
"question": "What is the 1:57.71 lane for swimming at the 2008 Summer Olympics - Women'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": [
"Ágnes Mutina"
],
"style": "rule"
} | {
"answer": [
"Ágnes Mutina"
],
"id": "wikisql-40776",
"question": "From the 2008 Summer Olympics Swimming Semifinals 2 - 200m Freestyle Women's, who ranked higher than 3, less than 6 lanes and a time of 1:58.15?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6000"
],
"style": "rule"
} | {
"answer": [
"6000"
],
"id": "wikisql-40786",
"question": "What is the capacity of class 4c3h for the 2008 Targa Tasmania's Classic 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": [
"McLeod"
],
"style": "rule"
} | {
"answer": [
"McLeod"
],
"id": "wikisql-40787",
"question": "What is the navigator for James in 2008 Targa Tasmania's Classic 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": [
"21:24"
],
"style": "rule"
} | {
"answer": [
"21:24"
],
"id": "wikisql-40788",
"question": "How much time did Coad gain when the lead for the 2008 Targa Tasmania Classic Competition was 04:02?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4C3D"
],
"style": "rule"
} | {
"answer": [
"4C3D"
],
"id": "wikisql-40789",
"question": "From the 2008 Targa Tasmania list, which class has a capacity of less than 3384 for Ferguson's Classic 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": [
"1998–2009, 2012—"
],
"style": "rule"
} | {
"answer": [
"1998–2009, 2012—"
],
"id": "wikisql-40794",
"question": "From list of Ireland's longest serving soap opera actors, what are the years where duration is 13 and character is Renee Phelan?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Joe Lynch"
],
"style": "rule"
} | {
"answer": [
"Joe Lynch"
],
"id": "wikisql-40796",
"question": "If the character is Dinny Byrne, who is the actor on Ireland's longest serving soap opera actor 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": [
"1–0"
],
"style": "rule"
} | {
"answer": [
"1–0"
],
"id": "wikisql-40798",
"question": "What is the score for the match with a 11 draw number for the 1978/79 FA Cup fourth 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": [
"30 January 1979"
],
"style": "rule"
} | {
"answer": [
"30 January 1979"
],
"id": "wikisql-40799",
"question": "On what date was Ipswich Town the away team for the fourth round of the 1978-79 FA Cup proper?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40807",
"question": "What is director Jack King's Buddy the Woodsman series from Looney Tunes and Merrie Melodies (1929–39) 1934 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": [
"Ben Hardaway"
],
"style": "rule"
} | {
"answer": [
"Ben Hardaway"
],
"id": "wikisql-40809",
"question": "Who is the director of Buddy of the Apes under Looney Tunes and Merrie Melodies Filmography (1929–39) from 1934?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40823",
"question": "What is the average wins to ties less than 0 for Hampden Football Netball League 1937 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-40824",
"question": "What are the average losses when club is Warrnambool and wins less than 12 for Hampden Football Netball League 1937 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-40825",
"question": "From hampden football netball league list, what are the most losses when club is terang and ties are less than 0 in 1937 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-40826",
"question": "What is the total losses if wins are more than 6, club is no longer in camper and is against more than 1238 for the 1937 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": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-40827",
"question": "What was the draw for the 1999-2000 season when you finished third in Asia's year-on-year performance for Persepolis FC?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Asian Championship"
],
"style": "rule"
} | {
"answer": [
"Asian Championship"
],
"id": "wikisql-40828",
"question": "In which competition have you lost 1, drawn 3 and played 9 games for Persepolis FC in Asia in annual performance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40829",
"question": "How many draws were there when Persepolis FC played 9 and lost 3 in Asia's year-on-year performance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mong Kok , Kowloon"
],
"style": "rule"
} | {
"answer": [
"Mong Kok , Kowloon"
],
"id": "wikisql-40833",
"question": "Where was the location of Mong Kok Stadium among soccer clubs in south Hong Kong?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sai Kung",
"Sai Kung Friends",
"Sham Shui Po",
"Solon",
"St. Joseph`s",
"Sun Source"
],
"style": "rule"
} | {
"answer": [
"Sai Kung",
"Sai Kung Friends",
"Sham Shui Po",
"Solon",
"St. Joseph`s",
"Sun Source"
],
"id": "wikisql-40834",
"question": "Which club had a home ground of n/a under list of football clubs in Hong Kong, S?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mong Kok , Kowloon"
],
"style": "rule"
} | {
"answer": [
"Mong Kok , Kowloon"
],
"id": "wikisql-40835",
"question": "Where is First Division Sun Pegasus Club located for Hong Kong, S football clubs 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": [
"Fourth Division"
],
"style": "rule"
} | {
"answer": [
"Fourth Division"
],
"id": "wikisql-40836",
"question": "In Hong Kong, S list of football clubs, which division is Sai Kung in?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Third Division"
],
"style": "rule"
} | {
"answer": [
"Third Division"
],
"id": "wikisql-40837",
"question": "from the list of soccer clubs in hong kong, in which league does sun source play?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"AAA"
],
"style": "rule"
} | {
"answer": [
"AAA"
],
"id": "wikisql-40841",
"question": "What is the IHSAA class of football for the team that joined for Hoosier Athletic Conference membership in 1968?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"AA"
],
"style": "rule"
} | {
"answer": [
"AA"
],
"id": "wikisql-40842",
"question": "What is the IHSAA classification for Tipton in Hoosier Athletic Conference membership?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40843",
"question": "What is the rank of the person with the time 11:14 in the 2007 IAAF World Championships - Women's 100 meter dash 8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40844",
"question": "What is the rank when the time is 11:15 and the lane is greater than 7 with grades Q, PB for 2007 IAAF World Championships in Athletics - Women's 100 meter dash 8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40845",
"question": "What is the trace between the 2007 IAAF World Championships - Women's 100 meters for the scores Q, SB and time less than 11.22' Heat 8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Jeanette Kwakye ( GBR )"
],
"style": "rule"
} | {
"answer": [
"Jeanette Kwakye ( GBR )"
],
"id": "wikisql-40846",
"question": "Which athlete finishes under 5 with a time over 11.22 at the 2007 IAAF World Championships - Women's 100 meter dash 8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40856",
"question": "What is the total number of losses in the 2011 Wimmera Football League ladder with less than 6 wins and less than 0 draws?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1276.0"
],
"style": "rule"
} | {
"answer": [
"1276.0"
],
"id": "wikisql-40857",
"question": "What is the average number of games with less than 10 losses, more than 0 draws and more than 7 wins for Wimmera Football League 2011 rankings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40858",
"question": "What is the total byes with more than 0 losses and 1526 against Ladder of Wimmera Football League 2011 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40859",
"question": "What is the lowest number of ties with more than 2 byes in the 2011 Wimmera Football 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": [
"1234"
],
"style": "rule"
} | {
"answer": [
"1234"
],
"id": "wikisql-40860",
"question": "What is lowest in the 2011 Wimmera Football League ladder compared to the wimmera fl warrack eagles who have fewer than 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": [
"39` 04.53"
],
"style": "rule"
} | {
"answer": [
"39` 04.53"
],
"id": "wikisql-40868",
"question": "When was Jules Croft the driver in 5th race 2008? Senior Manx Grand Prix?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ann DeVries"
],
"style": "rule"
} | {
"answer": [
"Ann DeVries"
],
"id": "wikisql-40880",
"question": "Who is Dominique Monami's partner in doubles: 9 (4 titles, 5 runners-up) with a score of 6-4 2-6 7-6?",
"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": [
"74-67"
],
"style": "rule"
} | {
"answer": [
"74-67"
],
"id": "wikisql-40889",
"question": "What was the first leg result of the matchup with a 2nd leg of 80-70 for the 2008/09 FIBA EuroChallenge 2nd Qualifying 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": [
"JA Vichy"
],
"style": "rule"
} | {
"answer": [
"JA Vichy"
],
"id": "wikisql-40890",
"question": "Who was Team 2 in the game with Team 1 in the second qualifying round of Liege Basket at FIBA EuroChallenge 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": [
"93-100"
],
"style": "rule"
} | {
"answer": [
"93-100"
],
"id": "wikisql-40891",
"question": "In the second qualifying round of the FIBA EuroChallenge 2008/09, what was the result of the first leg in the matchup with a 2nd leg of 72-89?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"166-130"
],
"style": "rule"
} | {
"answer": [
"166-130"
],
"id": "wikisql-40892",
"question": "What was the total score of the FIBA EuroChallenge 2008/09 second qualifying round match with leg 2 of 72-64?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"74-74"
],
"style": "rule"
} | {
"answer": [
"74-74"
],
"id": "wikisql-40893",
"question": "What was the score in the first leg in the matchup with a Team 2 of KK Borac in the second qualifying round of the FIBA EuroChallenge 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": [
"2626"
],
"style": "rule"
} | {
"answer": [
"2626"
],
"id": "wikisql-40895",
"question": "What is the fleet number of model serial number 68056 in the Northern Pacific Railway's S 4 8 4 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": [
"68056"
],
"style": "rule"
} | {
"answer": [
"68056"
],
"id": "wikisql-40896",
"question": "What is the serial number of the model made for the Northern Pacific Railway's 4 8 4 locomotives in 1930?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4-8-4"
],
"style": "rule"
} | {
"answer": [
"4-8-4"
],
"id": "wikisql-40897",
"question": "What is the 4-8-4 wheel arrangement for the Northern Pacific Railway locomotive model that was retired in 1955?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"14"
],
"id": "wikisql-40898",
"question": "What is the lowest number of games with a club count of 46 → 32 for the 2008–09 Conference League Cup calendar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-40899",
"question": "What is the highest number of games having a round of third round on the 2008–09 Conference League Cup calendar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Winner: £16,000; Loser: £8,000"
],
"style": "rule"
} | {
"answer": [
"Winner: £16,000; Loser: £8,000"
],
"id": "wikisql-40900",
"question": "What is the 2008-09 Conference League Cup Calendar finals prize money?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 September 2008"
],
"style": "rule"
} | {
"answer": [
"8 September 2008"
],
"id": "wikisql-40901",
"question": "What is the date for the round of 44 signing series for the 2008-09 Conference League Cup calendar?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40902",
"question": "Which opponent has wins of 11 and losses of less than 7 for the 2012 Hampden Football Netball League Rankings?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40903",
"question": "Consider the 2012 ladder. Considering the Hampden Football Netball League; which draws have losses greater than 8 and a Hampden FL from terang–mortlake ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40904",
"question": "Which Byes in the Hampden Football Netball League has losses less than 4 on the 2012 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-40905",
"question": "What is the total number of draws if losses are less than 10, less than 2 byes and 13 wins in the 2010 Wimmera Football 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-40906",
"question": "What is the total number of ties for Ararat when byes are less than 2 in Wimmera Football League 2010 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-40907",
"question": "What are the total losses if there are 8 wins and fewer than 2 byes in the Wimmera Football League 2010 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-40908",
"question": "What are the lowest losses for Horsham Saints with over 13 wins and under 1211 goals conceded in the Wimmera Football League 2010 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-40909",
"question": "What are the draws when losses are less than 1 for Wimmera Football League 2010 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-40910",
"question": "If Wimmera Football League has the number of wins 2010 Ladder, the draws are less than 0 and the against 1348 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40916",
"question": "After pick number 158, what is the next round in which a USC player was selected for the New York Giants' 1975 NFL 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": [
"7:17.74"
],
"style": "rule"
} | {
"answer": [
"7:17.74"
],
"id": "wikisql-40918",
"question": "What time is q as notes and Australia as the country for rowing at the 2008 Summer Olympics - Men's One Sculls' Heat 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": [
"Q"
],
"style": "rule"
} | {
"answer": [
"Q"
],
"id": "wikisql-40919",
"question": "Which scores in rowing in the 5th round of the 2008 Summer Olympics among singles men have a rank greater than 2, with Mexico as the country?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kotikatu"
],
"style": "rule"
} | {
"answer": [
"Kotikatu"
],
"id": "wikisql-40922",
"question": "From the list of longest serving soap opera actors, which soap opera in Finland starring the character Teemu Luotola is the longest running?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40928",
"question": "What is the average number of 40-seat carriages manufactured in 1921/23 among the blunderbuss iron carriages?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BCi-21"
],
"style": "rule"
} | {
"answer": [
"BCi-21"
],
"id": "wikisql-40929",
"question": "Which series up to 1928 had the year of construction 1921/23 and which series from 1928 the BCi-21 for Donnerbüchse's iron wagons?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40930",
"question": "What is the smallest amount with a class up to 1928 of BDi-21 among the iron carriages of blunderbuss?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BCid-21"
],
"style": "rule"
} | {
"answer": [
"BCid-21"
],
"id": "wikisql-40931",
"question": "Which class of blunderbusses from 1928 to 1928 was the class of the BDi-21 of the iron wagons?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Trial coaches"
],
"style": "rule"
} | {
"answer": [
"Trial coaches"
],
"id": "wikisql-40932",
"question": "What were the remarks for the 1928 class car of Cid-21B among the blunderbuss iron cars?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40939",
"question": "What is the total of the 2009 World Rally Championship season starting with more points than 1 and the driver is Nasser Al-Attiyah?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40940",
"question": "What is the smallest number of podium finishes with more than 6 starts and 5 finishes among drivers in the 2009 World Rally Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-40941",
"question": "How many stage wins has Federico Villagra won in the 2009 World Rally Championship drivers' season with more than 1 finish, less than 8 starts and less than 1 podium?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-40942",
"question": "What are the results for Lambros Athanassoulas with 0 podiums and 0 stage wins among the 2009 World Rally Championship drivers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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"
],
"style": "rule"
} | {
"answer": [
"7"
],
"id": "wikisql-40951",
"question": "What is the rank of athlete from Virgin Islands with reaction under .168 in Athletics at 2008 Summer Olympics - Men's 400m 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40952",
"question": "What is the lowest rank in Athletics at the 2008 Summer Olympics - Men's 400 meters by Chris Brown with a reaction greater than .244 in Semifinal 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40953",
"question": "What is the highest rank of an athlete from Belgium with a reaction greater than 0.162 in Athletics at the 2008 Summer Olympics - Men's 400 meters 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-40970",
"question": "What is the highest silver if total is 4 and bronze less than 1 among World 50m Rifle Three Positions Total Medals?",
"split": "train"
} |
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