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": [
"0.51%"
],
"style": "rule"
} | {
"answer": [
"0.51%"
],
"id": "wikisql-54823",
"question": "What is the other that has 20.80% than Firefox among global desktop data of :,net applications (Q4 2004 to present) in web browser usage share?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.57%"
],
"style": "rule"
} | {
"answer": [
"1.57%"
],
"id": "wikisql-54824",
"question": "Which Opera has 19.87 % than Firefox among the global desktop data from : Net Applications ( Q4 2004 to present ) web browser usage share ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Olga Fateyeva Category:Articles with hCards",
"Lioubov Sokolova Category:Articles with hCards",
"Yulia Merkulova Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Olga Fateyeva Category:Articles with hCards",
"Lioubov Sokolova Category:Articles with hCards",
"Yulia Merkulova Category:Articles with hCards"
],
"id": "wikisql-54833",
"question": "What is the name of volleyball at the 2008 Summer Olympics - women's team rosters when the club is Rus... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yevgeniya Estes Category:Articles with hCards",
"Marina Sheshenina Category:Articles with hCards",
"Aleksandra Pasynkova Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Yevgeniya Estes Category:Articles with hCards",
"Marina Sheshenina Category:Articles with hCards",
"Aleksandra Pasynkova Category:Articles with hCards"
],
"id": "wikisql-54834",
"question": "What is the name of volleyball at the 2008 Summer Olympics - women's team rosters when the 200... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yevgeniya Estes Category:Articles with hCards",
"Marina Sheshenina Category:Articles with hCards",
"Aleksandra Pasynkova Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"Yevgeniya Estes Category:Articles with hCards",
"Marina Sheshenina Category:Articles with hCards",
"Aleksandra Pasynkova Category:Articles with hCards"
],
"id": "wikisql-54835",
"question": "What is the name of volleyball at the 2008 Summer Olympics - women's team rosters when the clu... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 3.2"
],
"style": "rule"
} | {
"answer": [
"0 3.2"
],
"id": "wikisql-54850",
"question": "What homicide rate (2012) per 100,000 also has a 1.616 as Peace gpi (2012) among Latin American socioeconomic indicators of the standard of living of American countries?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-54851",
"question": "Regarding Latin America, what is the sum of poverty (2009) hpi-1 of the region's socio-economic indicators for American countries, standard of living if GDP (ppp) (2012) is US$ per capita of US$11,284?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rexall Place"
],
"style": "rule"
} | {
"answer": [
"Rexall Place"
],
"id": "wikisql-54932",
"question": "Which arena has an @oilers opponent and a May 25 date among the Mighty Ducks of Anaheim's 2005-06 season Western Conference Finals playoffs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16839"
],
"style": "rule"
} | {
"answer": [
"16839"
],
"id": "wikisql-54933",
"question": "How many attendees has 2005-06 Western Conference Finals, playoff loss to Roloson (11-5) under 2005-06 Mighty Ducks of Anaheim season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17174"
],
"style": "rule"
} | {
"answer": [
"17174"
],
"id": "wikisql-54934",
"question": "What viewership in the 2005-06 season the Mighty Ducks Anaheim in the Western Conference playoffs has an arena of Anaheim and a loss of Giguere (3–3)?",
"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": [
"16839"
],
"style": "rule"
} | {
"answer": [
"16839"
],
"id": "wikisql-54935",
"question": "Which entry in the 2005-06 Western Conference playoffs of the 2005-06 season has an opponent from Oilers and a date of May 25?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"17264"
],
"style": "rule"
} | {
"answer": [
"17264"
],
"id": "wikisql-54936",
"question": "What was the attendance for the Mighty Ducks of Anaheim in the 2005-2006 season at the Western Conference Finals on May 21?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"61.88%"
],
"style": "rule"
} | {
"answer": [
"61.88%"
],
"id": "wikisql-54940",
"question": "Looking at the usage share of web browsers, desktop and mobile browsers, what percentage of browsers used Internet Explorer in April 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": [
"4.16%"
],
"style": "rule"
} | {
"answer": [
"4.16%"
],
"id": "wikisql-54941",
"question": "Among the usage shares of web browsers, desktop and mobile browsers, what percentage of browsers used Safari during the period when 31.27% used Firefox?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2.00%"
],
"style": "rule"
} | {
"answer": [
"2.00%"
],
"id": "wikisql-54942",
"question": "Considering web browser usage, what percentage of browsers used Opera in October 2010 in Statcounter global statistics ( Top 5 Browsers ), Desktop and Mobile Browser Usage ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2.02%"
],
"style": "rule"
} | {
"answer": [
"2.02%"
],
"id": "wikisql-54943",
"question": "What percentage of web browsers used Opera in November 2009 of Statcounter Global Statistics ( Top 5 Browsers ) Desktop and Mobile Browser Usage ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Grim Fandango"
],
"style": "rule"
} | {
"answer": [
"Grim Fandango"
],
"id": "wikisql-55009",
"question": "Which game in the adventure genre has a Windows platform and its year is after 1997 for the 1996-2001 Game of the Year award?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"6.5%"
],
"style": "rule"
} | {
"answer": [
"6.5%"
],
"id": "wikisql-55038",
"question": "What is the Safari value of web browser usage share with 2.4% Opera and 29.9% Internet Explorer for May 2007 to present W3Counter?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"31.4%"
],
"style": "rule"
} | {
"answer": [
"31.4%"
],
"id": "wikisql-55039",
"question": "What is the share of web browser usage (Firefox score with 1.9% Safari) in global statistics from w3counter w3counter (May 2007 to present)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"31 January 2008"
],
"style": "rule"
} | {
"answer": [
"31 January 2008"
],
"id": "wikisql-55041",
"question": "What is the date Internet Explorer was 62.2% among web browser usage shares of w3counter w3counter global statistics (May 2007 to present)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14.3%"
],
"style": "rule"
} | {
"answer": [
"14.3%"
],
"id": "wikisql-55043",
"question": "What is the Safari value of w3counter global statistics w3counter (May 2007 to present) 28.0% Internet Explorer in web browser usage share?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"41.42%"
],
"style": "rule"
} | {
"answer": [
"41.42%"
],
"id": "wikisql-55061",
"question": "What percentage has a draw of 6 among Bulgaria in Eurovision Song Contest 2009 in November, result of November selection?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rope"
],
"style": "rule"
} | {
"answer": [
"Rope"
],
"id": "wikisql-55078",
"question": "Considering Yevgeniya Kanayeva's detailed 2008 Olympic results, on which apparatus did she have a final score less than 75.5 and a qualifying score less than 18.7?",
"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": [
"75.5"
],
"style": "rule"
} | {
"answer": [
"75.5"
],
"id": "wikisql-55079",
"question": "What was your lowest final score with a qualifying score of 74.075 for Yevgeniya Kanayeva in the 2008 Olympic Detailed Results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"18.85"
],
"style": "rule"
} | {
"answer": [
"18.85"
],
"id": "wikisql-55080",
"question": "What was your final ligament score for Yevgeniya Kanayeva in the 2008 Olympic Detailed Results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-55103",
"question": "Under Athletics at the 2008 Summer Olympics - Men's 200 meters, how much time does a reaction of .155 and an athlete by Kristof Beyens and a rank lower than 3 in the Quarterfinals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4.0"
],
"style": "rule"
} | {
"answer": [
"4.0"
],
"id": "wikisql-55104",
"question": "Which track has a time greater than 20.5 and a nationality of Trinidad and Tobago in Athletics at the 2008 Summer Olympics - Men's 200 meters with 3 Quarterfinals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Northwich Victoria"
],
"style": "rule"
} | {
"answer": [
"Northwich Victoria"
],
"id": "wikisql-55115",
"question": "Which away team had a tie of 7 in the second round of the Conference League Cup in 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": [
"692"
],
"style": "rule"
} | {
"answer": [
"692"
],
"id": "wikisql-55116",
"question": "What was the Solihull Moors North Section Conference League Cup 2008/09 Round Two attendance?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Vauxhall Motors"
],
"style": "rule"
} | {
"answer": [
"Vauxhall Motors"
],
"id": "wikisql-55117",
"question": "Which home team in the 2008/09 Conference League Cup had the Southport away team in the Northern Section, 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": [
"Barrow"
],
"style": "rule"
} | {
"answer": [
"Barrow"
],
"id": "wikisql-55118",
"question": "Which home team of the second round of the 2008/09 Conference League Cup in the northern section had two 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": [
"3–1"
],
"style": "rule"
} | {
"answer": [
"3–1"
],
"id": "wikisql-55119",
"question": "What team was the result when there was a draw in the second round of the conference league cup 2008/09 7 in the second round of the conference league 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": [
"2003–2006"
],
"style": "rule"
} | {
"answer": [
"2003–2006"
],
"id": "wikisql-55135",
"question": "What year was the first generation of the engines of the Mercedes-Benz R230 SL 350 model?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20066.0"
],
"style": "rule"
} | {
"answer": [
"20066.0"
],
"id": "wikisql-55141",
"question": "What is the 2005-06 Mighty Ducks of Anaheim March, Regular Attendance at Joe Louis Arena?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Denis (15–24–0)"
],
"style": "rule"
} | {
"answer": [
"Denis (15–24–0)"
],
"id": "wikisql-55142",
"question": "What is the loss of the game in the nationwide arena by a score of 4-3 for the 2005-06 Mighty Ducks of Anaheim regular season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-55143",
"question": "What is the attendance of the game with a score of 3-2 among the Mighty Ducks of Anaheim March 2005-06 Regular Season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4–3"
],
"style": "rule"
} | {
"answer": [
"4–3"
],
"id": "wikisql-55144",
"question": "What is the regular season score for the 2005-06 Mighty Ducks of Anaheim games on March 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": [
"36–21–12"
],
"style": "rule"
} | {
"answer": [
"36–21–12"
],
"id": "wikisql-55145",
"question": "What is the record of the game with an attendance of more than 16,124 and a score of 6-3 in the 2005-06 season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-55146",
"question": "What is the game attendance with a record 37-21-12 and fewer than 86 points under the Mighty Ducks of Anaheim's 2005-06 regular season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Adelaide United"
],
"style": "rule"
} | {
"answer": [
"Adelaide United"
],
"id": "wikisql-55151",
"question": "What was the away team under Adelaide United 2008/09 when Queensland Roar was the home team in the Round under 3 in 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": [
"9"
],
"style": "rule"
} | {
"answer": [
"9"
],
"id": "wikisql-55152",
"question": "What is the round when 11117 people attended the Adelaide United game for the 2008/09 season on 26 October 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-55153",
"question": "What is the smallest round for the game to be played in Adelaide United with 12,581 spectators at Members Equity Stadium in season 2008/09?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-55179",
"question": "What is the combined total of bronze medals for the nation with fewer than 0 silver medals in the 2003 World Weightlifting Championships major medal table?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55180",
"question": "What is the highest amount of bronze that China's medal, having more than 1 gold and more than 11 total, had at the 2003 World Weightlifting Championships?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-55181",
"question": "What is the average number of bronze in Hungary, which has less than 1 silver among the World Weightlifting Championships 2003 in the ranking of the major medal tables?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55214",
"question": "What is Brazil's track in athletics at the 2008 Summer Olympics - men's 200 meters with a time under 21.15 4, runs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55215",
"question": "What's the trail of the Russians as they ranked ahead of 1 in athletics at the 2008 Summer Olympics - men's 200 meters in 4 heats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-55216",
"question": "For Athletics at the 2008 Summer Olympics - Men's 200 meters, what is Bulgaria's track with a time over 21.55 in 4 heats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Randwick"
],
"style": "rule"
} | {
"answer": [
"Randwick"
],
"id": "wikisql-55258",
"question": "Which venue hosted the Stan Fox Stakes under Octagonal of the 1995-96 season as a three-year race record?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Small forward"
],
"style": "rule"
} | {
"answer": [
"Small forward"
],
"id": "wikisql-55441",
"question": "Under the John R. Wooden award, name the position for Indiana State Men, Player of the Year honorees. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Grosvenor World Masters"
],
"style": "rule"
} | {
"answer": [
"The Grosvenor World Masters"
],
"id": "wikisql-55448",
"question": "Which event did Mark Teltscher win in the ept Main Event Winners of European Poker Tour Season 2?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4–6 October 2005"
],
"style": "rule"
} | {
"answer": [
"4–6 October 2005"
],
"id": "wikisql-55449",
"question": "When was the European Poker Tour event in the city of Baden Season 2, Main Event Winner?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"European Poker Tour Grand Final"
],
"style": "rule"
} | {
"answer": [
"European Poker Tour Grand Final"
],
"id": "wikisql-55450",
"question": "Which European Poker Tour event had the €900,000 prize among the Season 2 EPT Main Event winners?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"29–30 October 2005"
],
"style": "rule"
} | {
"answer": [
"29–30 October 2005"
],
"id": "wikisql-55451",
"question": "When was the European Poker Tour of Season 2, Winner of the Main Event, Dublin?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Baden"
],
"style": "rule"
} | {
"answer": [
"Baden"
],
"id": "wikisql-55452",
"question": "Which European Poker Tour event hosted a €288,180 prize for the Season 2 ept Main Event winners in which city?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Baden"
],
"style": "rule"
} | {
"answer": [
"Baden"
],
"id": "wikisql-55453",
"question": "Among the winners of the second season of the European Poker Tour, in which city was the event held when Patrik Antonius won?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20-12"
],
"style": "rule"
} | {
"answer": [
"20-12"
],
"id": "wikisql-55466",
"question": "What is the game log record for the 2004 Texas Rangers season at the game attended by 10,389?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9-0"
],
"style": "rule"
} | {
"answer": [
"9-0"
],
"id": "wikisql-55467",
"question": "What was the score of the game that had a loss of drese (2-2) in May 2004 Texas Rangers season?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5-3"
],
"style": "rule"
} | {
"answer": [
"5-3"
],
"id": "wikisql-55468",
"question": "What is the score of the game attended by 25,034 for the May 2004 Texas Rangers season game record?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Rangers"
],
"style": "rule"
} | {
"answer": [
"Rangers"
],
"id": "wikisql-55590",
"question": "Who was the opponent in the qf(r) round for 2007–08 Partick Thistle fc. scottish cup of the season match results ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"24 November 2007"
],
"style": "rule"
} | {
"answer": [
"24 November 2007"
],
"id": "wikisql-55591",
"question": "What day was the match at Firhill vs Ayr United 2007–08 Partick Thistle FC played? Scottish Cup Season Match Results ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2554.0"
],
"style": "rule"
} | {
"answer": [
"2554.0"
],
"id": "wikisql-55592",
"question": "What is the average attendance under Scottish Cup results for Firhill in a match that took place in the 5th(r)round of 2007–08 Partick Thistle FC? Season ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"DRAW"
],
"style": "rule"
} | {
"answer": [
"DRAW"
],
"id": "wikisql-55691",
"question": "What is the result of Test matches (1991–2000) Courtney Walsh in 1994?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16,17,18,20,21 April 1994"
],
"style": "rule"
} | {
"answer": [
"16,17,18,20,21 April 1994"
],
"id": "wikisql-55692",
"question": "When did a 1994 Antigua Recreational site happen, results of Test matches (1991–2000)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Sabina Park"
],
"style": "rule"
} | {
"answer": [
"Sabina Park"
],
"id": "wikisql-55693",
"question": "Which venue has an 8 week lead in Test matches ( 1991-2000 ) of 1994 results ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Richie Richardson"
],
"style": "rule"
} | {
"answer": [
"Richie Richardson"
],
"id": "wikisql-55694",
"question": "Which Test matches home captain (1991–2000) has the date 25, 26, 27, 29, 30 March 1994 among the results?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Richie Richardson"
],
"style": "rule"
} | {
"answer": [
"Richie Richardson"
],
"id": "wikisql-55695",
"question": "Among the results of the 1994 Test matches (1991–2000), which home captain has the venue Bourda?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Richie Richardson"
],
"style": "rule"
} | {
"answer": [
"Richie Richardson"
],
"id": "wikisql-55696",
"question": "Which home captain completed 208 runs in 1994 Test matches (1991–2000)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1.96"
],
"style": "rule"
} | {
"answer": [
"1.96"
],
"id": "wikisql-55766",
"question": "How tall is the player currently playing for Alta Gestión Fuenlabrada in the squads of Group B of Fiba Eurobasket 2007 in Croatia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"September 11, 1965"
],
"style": "rule"
} | {
"answer": [
"September 11, 1965"
],
"id": "wikisql-55939",
"question": "When were the ships launched on September 1, 1964 for Echo class submarines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"K-125"
],
"style": "rule"
} | {
"answer": [
"K-125"
],
"id": "wikisql-55940",
"question": "Name the number of ii - important dates, ships commissioned on 18 December 1965 for Echo class submarines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"K-7"
],
"style": "rule"
} | {
"answer": [
"K-7"
],
"id": "wikisql-55941",
"question": "List the # for ii - important dates Ships commissioned 30 September 1967 for Echo class submarines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"June 8, 1964"
],
"style": "rule"
} | {
"answer": [
"June 8, 1964"
],
"id": "wikisql-55942",
"question": "When were ii - important dates, ships laid down keel, commissioned on October 29, 1965 under the Echo class submarines?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"46.0"
],
"style": "rule"
} | {
"answer": [
"46.0"
],
"id": "wikisql-56065",
"question": "Considering the power generation from renewable sources in the United States until 2011 when the power capacity of the generators was 781?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4.4"
],
"style": "rule"
} | {
"answer": [
"4.4"
],
"id": "wikisql-56066",
"question": "What is the percentage of total capacity if the energy is 120.2 for renewable electricity generation by 2011, statistics in the United States.",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.04"
],
"style": "rule"
} | {
"answer": [
"0.04"
],
"id": "wikisql-56067",
"question": "What is the percentage of annual production of solar energy from renewable sources in the United States according to statistics for 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-56068",
"question": "What is the number of renewable energy generators in the United States, where the electricity capacity is 78.7 in generating electricity by 2011, statistic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7.5"
],
"style": "rule"
} | {
"answer": [
"7.5"
],
"id": "wikisql-56069",
"question": "What is the % of total capacity from renewables in electricity generation by 2011 in the United States if the generators are 4048?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Running back"
],
"style": "rule"
} | {
"answer": [
"Running back"
],
"id": "wikisql-56092",
"question": "What position did the Jersey City, New Jersey player play on the 2010 US high school football team's first offense?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Baton Rouge, Louisiana"
],
"style": "rule"
} | {
"answer": [
"Baton Rouge, Louisiana"
],
"id": "wikisql-56094",
"question": "What is the first offensive 2010 Team USA today All-USA high school football team for the hometown of Jeremy Hill?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56095",
"question": "How many offensive line players for an Alabama college played for a USA Today All-USA High School Football Team First Offense, 2010 team today?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hiva Lutui"
],
"style": "rule"
} | {
"answer": [
"Hiva Lutui"
],
"id": "wikisql-56103",
"question": "Which Utah player is on the 2011 USA Today All-USA high school 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": [
"Running back"
],
"style": "rule"
} | {
"answer": [
"Running back"
],
"id": "wikisql-56104",
"question": "Which Saguaro High School player was on the 2011 US Today All-USA High School 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": [
"Simeon Career Academy"
],
"style": "rule"
} | {
"answer": [
"Simeon Career Academy"
],
"id": "wikisql-56106",
"question": "Which school did the player go to after Auburn in Second Offense 2011 Team USA Today All-USA High School 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": [
"Defensive line"
],
"style": "rule"
} | {
"answer": [
"Defensive line"
],
"id": "wikisql-56108",
"question": "What position did a kid from Loganville, Georgia play today for USA, the second defense on the 2011 All-USA high school 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": [
"Mississippi"
],
"style": "rule"
} | {
"answer": [
"Mississippi"
],
"id": "wikisql-56110",
"question": "Where did robert nkemdiche ‡ go to college?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Washington, D.C."
],
"style": "rule"
} | {
"answer": [
"Washington, D.C."
],
"id": "wikisql-56111",
"question": "Where is the Friendship Collegiate Charter School located in the USA, now the second line defender of the 2011 All-USA high school 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": [
"1"
],
"style": "rule"
} | {
"answer": [
"1"
],
"id": "wikisql-56147",
"question": "How many premiere episodes in list of tvb series (2008) titled survivor's law ii are top ten highest rated drama series of 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": [
"银楼金粉"
],
"style": "rule"
} | {
"answer": [
"银楼金粉"
],
"id": "wikisql-56148",
"question": "What is the Chinese name that has an average of 31 among the highest rated 2008, top ten drama series in ratings among TVB series list (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": [
"法證先鋒II"
],
"style": "rule"
} | {
"answer": [
"法證先鋒II"
],
"id": "wikisql-56150",
"question": "What is the Chinese name for Forensic Heroes II among the top ten TVB series (2008) drama series 2008 with the highest rating?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56151",
"question": "List of highest rated TVB series (2008) of 2008, top ten drama series in ratings, which number on the list had a top rating of 42?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56257",
"question": "How many players currently play for Barons Riga under Lithuania?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"2.00"
],
"style": "rule"
} | {
"answer": [
"2.00"
],
"id": "wikisql-56258",
"question": "What size was player #10 among Lithuania Group C 2007 Fiba Eurobasket Squads?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1976"
],
"style": "rule"
} | {
"answer": [
"1976"
],
"id": "wikisql-56259",
"question": "From the squads of Fiba Eurobasket 2007 under Lithuania Group C, when was earliest born one of these players?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-56260",
"question": "What player number is 2.10m tall for Lithuania Group C Fiba Eurobasket 2007 teams?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Center"
],
"style": "rule"
} | {
"answer": [
"Center"
],
"id": "wikisql-56261",
"question": "In what position did the player, who is 2.12 meters tall, play in the squads of Fiba Eurobasket 2007 in Lithuania, group C?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Forward"
],
"style": "rule"
} | {
"answer": [
"Forward"
],
"id": "wikisql-56262",
"question": "What is the position of Ido Kozikaro among the teams in Israel Group A 2007?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Erez Markovich"
],
"style": "rule"
} | {
"answer": [
"Erez Markovich"
],
"id": "wikisql-56263",
"question": "Which player plays in the middle?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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",
"13"
],
"style": "rule"
} | {
"answer": [
"12",
"13"
],
"id": "wikisql-56264",
"question": "How many players currently play for ironi nahariya in the israeli group a fiba eurobasket 2007 squads?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Guy Pnini"
],
"style": "rule"
} | {
"answer": [
"Guy Pnini"
],
"id": "wikisql-56265",
"question": "Which player is 2.01m tall among the Israeli teams?",
"split": "train"
} |
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