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": [
"October 5, 2003"
],
"style": "rule"
} | {
"answer": [
"October 5, 2003"
],
"id": "wikisql-41959",
"question": "What is the date of the game with a score of w 22-16 for the Buffalo Bills 2003 season on CBS TV time 1:00 ET?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"€15,000,000"
],
"style": "rule"
} | {
"answer": [
"€15,000,000"
],
"id": "wikisql-41968",
"question": "What is the transfer fee for Helguera in Real Madrid CF squad in 1999-2000 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": [
"09 Jun 2012"
],
"style": "rule"
} | {
"answer": [
"09 Jun 2012"
],
"id": "wikisql-41987",
"question": "What was the date of cross code debut having international debut in 2008 dual code rugby internationals list of more than one 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": [
"2000"
],
"style": "rule"
} | {
"answer": [
"2000"
],
"id": "wikisql-41989",
"question": "In what year did Coenraad Breytenbach make his international debut in more than one country in dual code rugby internationals?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"RL Western Samoa v France"
],
"style": "rule"
} | {
"answer": [
"RL Western Samoa v France"
],
"id": "wikisql-41990",
"question": "From the list of dual code rugby internationals for more than one country, what is the cross code debut for a player who made his international debut in RU test New Zealand vs Australia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Krister Holmberg ( FIN )"
],
"style": "rule"
} | {
"answer": [
"Krister Holmberg ( FIN )"
],
"id": "wikisql-41998",
"question": "Who won bronze at the 1994 World Championships in the 10m mixed target, men?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Defensive end"
],
"style": "rule"
} | {
"answer": [
"Defensive end"
],
"id": "wikisql-41999",
"question": "What position was chosen before 63 for Oklahoma College in the eighth 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": [
"Georgia"
],
"style": "rule"
} | {
"answer": [
"Georgia"
],
"id": "wikisql-42000",
"question": "Which college has an offensive tackle position in the eighth 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": [
"Scott Styris"
],
"style": "rule"
} | {
"answer": [
"Scott Styris"
],
"id": "wikisql-42001",
"question": "Which Centuries in the Friends Life t20 player had 50 balls?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"297.0"
],
"style": "rule"
} | {
"answer": [
"297.0"
],
"id": "wikisql-42011",
"question": "What is the Average Hope Enrollment at Indiana High School Athletics Conferences: Mid-Hoosier - Mid-Eastern - Northwestern?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"FA"
],
"style": "rule"
} | {
"answer": [
"FA"
],
"id": "wikisql-42021",
"question": "What are the notes for the team from Denmark under the rowing at the 2008 Summer Olympics – AB 2 semifinals in the men's lightweight coxless four?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Latt Shwe Zin"
],
"style": "rule"
} | {
"answer": [
"Latt Shwe Zin"
],
"id": "wikisql-42022",
"question": "Which athlete among the rowers at the 2008 Summer Olympics - women's singles had a rank of 6 and scores of sc/d' quarterfinals 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": [
"Myanmar"
],
"style": "rule"
} | {
"answer": [
"Myanmar"
],
"id": "wikisql-42023",
"question": "Which country is the athlete latt shwe zin with scores of sc/d from rowing at the 2008 Summer Olympics - Quarterfinals in Women's One 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": [
"10.0"
],
"style": "rule"
} | {
"answer": [
"10.0"
],
"id": "wikisql-42037",
"question": "Which 2005 Japanese TV drama episodes have a TV channel of ntv and a Japanese title of Ai no Uta in the 2005 fall 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": [
"NTV"
],
"style": "rule"
} | {
"answer": [
"NTV"
],
"id": "wikisql-42038",
"question": "Among the Japanese TV dramas of 2005, which TV station has an average rating of 16.89% in the 2005 fall 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": [
"10"
],
"style": "rule"
} | {
"answer": [
"10"
],
"id": "wikisql-42039",
"question": "Among the 2005 Japanese TV dramas in the 2005 fall season, which episodes have a TV channel code tbs and a Japanese title of Tonight Alone in Bed?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"花より男子"
],
"style": "rule"
} | {
"answer": [
"花より男子"
],
"id": "wikisql-42040",
"question": "Which Japanese title has a tbs tv station and a romaji title of hana yori dango among 2005 fall season Japanese TV dramas?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-42048",
"question": "Under rowing at the 2008 Summer Olympics – Coxless four in semi-final AB 1, which has a rank with a time of 5:56.73?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-42049",
"question": "Under Rowing at the 2008 Summer Olympics - Coxless Four, which rank under semi-final AB 1 has notes from fb and a time of 5:57.31?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-42053",
"question": "What are the giro wins for pink jersey stats per country if jerseys is 2, country is portugal and young rider is more than 0?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-42054",
"question": "What is the highest jersey in the pink jersey stats if points are 0, miscellaneous holders are less than 3, Giro wins are less than 1 and young riders are more than 1 under Pro 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-42055",
"question": "How many times is young rider more than 0, country is France and scores less than 1 in pink jersey stats per 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-42056",
"question": "What is the least distinct holder when the country is Ireland and Giro wins are less than 1 in the pink jersey stats per 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": [
"1.0"
],
"style": "rule"
} | {
"answer": [
"1.0"
],
"id": "wikisql-42058",
"question": "What is the rank of the 111.072 mph team 250CC Honda rider in Race 6a Lightweight Manx Grand Prix 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": [
"Sweden"
],
"style": "rule"
} | {
"answer": [
"Sweden"
],
"id": "wikisql-42059",
"question": "What is the nationality of the swimmer (2008 Summer Olympics - women's 100m breaststroke with a time of 1:08.80) in the swimming races?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ukraine"
],
"style": "rule"
} | {
"answer": [
"Ukraine"
],
"id": "wikisql-42060",
"question": "What nationality is Anna Khlistunova swimming at the 2008 Summer Olympics - Women's 100m breaststroke?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"n/a"
],
"style": "rule"
} | {
"answer": [
"n/a"
],
"id": "wikisql-42071",
"question": "In the 2008/09 season, the transfer of FC Bayern Munich, Willy Sagnol with a guy as a career end, what had the transfer fee?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"GER"
],
"style": "rule"
} | {
"answer": [
"GER"
],
"id": "wikisql-42072",
"question": "From Bayern Munich season 2008/09 transfers list what is Marcell Jansen with a summer transfer window and what type of transfer is from which nation?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Transfer"
],
"style": "rule"
} | {
"answer": [
"Transfer"
],
"id": "wikisql-42073",
"question": "For the 2008/09 season of FC Bayern Munich, what is the type of Marcell Jansen for the nation GER transfers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Toni Kroos"
],
"style": "rule"
} | {
"answer": [
"Toni Kroos"
],
"id": "wikisql-42074",
"question": "Which player had a winter transfer window and was free as a transfer fee for FC Bayern Munich's 2008/09 off-season transfers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Oliver Kahn",
"Bernd Dreher"
],
"style": "rule"
} | {
"answer": [
"Oliver Kahn",
"Bernd Dreher"
],
"id": "wikisql-42075",
"question": "Which player from GER has a summer transfer window and a transfer fee of n/a for the transfers of FC Bayern Munich 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": [
"1978"
],
"style": "rule"
} | {
"answer": [
"1978"
],
"id": "wikisql-42077",
"question": "What is the highest year remaining for the School of Danville among past members of the Mid-State Conference (IHSAA)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"AV8062701041005"
],
"style": "rule"
} | {
"answer": [
"AV8062701041005"
],
"id": "wikisql-42079",
"question": "What is the part number of the processor with a frequency of 1.8 GHz and 2 × 256 kb L@ cache in the list of Intel Core i7 microprocessors \"Sandy Bridge (Dual-Core)\" (32 nm)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"ultra-low power"
],
"style": "rule"
} | {
"answer": [
"ultra-low power"
],
"id": "wikisql-42080",
"question": "What is the sSpec number of the Ultra-Low-I/O processor in the Intel Core i7 (Intel Sandy Bridge (Dual-Core) (32 nm)) microprocessors 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": [
"2",
"2",
"2",
"2",
"2",
"2"
],
"style": "rule"
} | {
"answer": [
"2",
"2",
"2",
"2",
"2",
"2"
],
"id": "wikisql-42081",
"question": "What are the cores with a February 2011 release date and a BGA-1023 socket among the list of Sandy Bridge dual-core 32nm Intel Core i7 microprocessors?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"standard power"
],
"style": "rule"
} | {
"answer": [
"standard power"
],
"id": "wikisql-42082",
"question": "What is the L3 cache that has a standard power I/O under the list of Intel Core i7 microprocessors in Sandy Bridge Dual Core 32nm?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 2011"
],
"style": "rule"
} | {
"answer": [
"September 2011"
],
"id": "wikisql-42083",
"question": "What is the release date of the Intel Core i7 2.8 GHz Sandy Bridge (Dual-Core) (32 nm) microprocessors ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1931-03-XX",
"1931-07-XX",
"1931-09-19",
"1931-10-17"
],
"style": "rule"
} | {
"answer": [
"1931-03-XX",
"1931-07-XX",
"1931-09-19",
"1931-10-17"
],
"id": "wikisql-42093",
"question": "When was the film from the Looney Tunes and Merrie Melodies (1929–39) filmography released with a production number less than 5038 and was by the character Boskos 1931?",
"split": "train... |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lady, Play Your Mandolin!"
],
"style": "rule"
} | {
"answer": [
"Lady, Play Your Mandolin!"
],
"id": "wikisql-42094",
"question": "With 4645 as the production number, what was the title for the Looney Tunes and Merrie Melodies (1929–39) filmography in 1931?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5046"
],
"style": "rule"
} | {
"answer": [
"5046"
],
"id": "wikisql-42095",
"question": "In the Looney Tunes and Merrie Melodies (1929–39) filmography, which 1931 film entitled Bosko's Fox Hunt had the lowest production number?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4664"
],
"style": "rule"
} | {
"answer": [
"4664"
],
"id": "wikisql-42096",
"question": "What is the smallest production number for the LT series titled Dumb Patrol in the Looney Tunes and Merrie Melodies (1929–39) filmography in 1931?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Lights Fantastic"
],
"style": "rule"
} | {
"answer": [
"Lights Fantastic"
],
"id": "wikisql-42114",
"question": "What is the name of the title directed by Friz Freleng which has a production number of 443 under the 1942 filmography of Looney Tunes and Merrie Melodies (1940–49)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Squawkin` Hawk, The"
],
"style": "rule"
} | {
"answer": [
"Squawkin` Hawk, The"
],
"id": "wikisql-42115",
"question": "Which title among the 1942 filmography of Looney Tunes and Merrie Melodies (1940–49) has 627?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bridget Jones`s Diary"
],
"style": "rule"
} | {
"answer": [
"Bridget Jones`s Diary"
],
"id": "wikisql-42116",
"question": "What is the film if the year is before 2002 and the category is Outstanding Actress in the list of awards and nominations received from Renée Zellweger's Screen Actors Guild?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"108.0"
],
"style": "rule"
} | {
"answer": [
"108.0"
],
"id": "wikisql-42158",
"question": "What is the 1965 American Football League 14th-round draft pick for New Mexico?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"John Frick Category:Articles with hCards"
],
"style": "rule"
} | {
"answer": [
"John Frick Category:Articles with hCards"
],
"id": "wikisql-42159",
"question": "Which player is drafted from the Denver Broncos in the fourteenth 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": [
"New Mexico"
],
"style": "rule"
} | {
"answer": [
"New Mexico"
],
"id": "wikisql-42160",
"question": "Which college drafted its team as the New York Jets in the fourteenth 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": [
"Auburn University"
],
"style": "rule"
} | {
"answer": [
"Auburn University"
],
"id": "wikisql-42165",
"question": "Which school/club picked 33 of the 2004 NFL Drafts in the Arizona Cardinals 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": [
"L 21–16"
],
"style": "rule"
} | {
"answer": [
"L 21–16"
],
"id": "wikisql-42167",
"question": "Which result has one week less than October 16 and October 31, 2005 as a date in the 2005 Buffalo Bills season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
" Mary Ann "
],
"style": "rule"
} | {
"answer": [
" Mary Ann "
],
"id": "wikisql-42171",
"question": "Before 1994, what song of the year was 42 in the UK charts under Eurovision: Your Country Needs You (1961–1995) Question?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"52"
],
"style": "rule"
} | {
"answer": [
"52"
],
"id": "wikisql-42172",
"question": "Where did Scott Fitzgerald place in the UK charts under Eurovision: Your Country Needs You (1961–1995)?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"20"
],
"style": "rule"
} | {
"answer": [
"20"
],
"id": "wikisql-42173",
"question": "Where did Michael Ball's song, which reached number 2 on Eurovision: Your Country Needs You in 1961, rank in the UK charts along with other songs from before 1995?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Declan Duffy"
],
"style": "rule"
} | {
"answer": [
"Declan Duffy"
],
"id": "wikisql-42184",
"question": "Which rider was on the 600cc Yamaha team for race 1 of the 2008 Manx Grand Prix? Newcomer Race A ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"92.687mph"
],
"style": "rule"
} | {
"answer": [
"92.687mph"
],
"id": "wikisql-42185",
"question": "How fast was John Hildreth the newcomer of Race 1, Race A at the 2008 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": [
"Bradford City"
],
"style": "rule"
} | {
"answer": [
"Bradford City"
],
"id": "wikisql-42191",
"question": "Which home team of the 1978/79 FA Cup actual first round has a draw of 20?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"28 November 1978"
],
"style": "rule"
} | {
"answer": [
"28 November 1978"
],
"id": "wikisql-42192",
"question": "What date was the 3-3 first round result and the away team was Barnet for the 1978/79 FA Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Replay"
],
"style": "rule"
} | {
"answer": [
"Replay"
],
"id": "wikisql-42193",
"question": "What is the tie if Wimbledon is the home team 1978-79 first round of 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": [
"3–5"
],
"style": "rule"
} | {
"answer": [
"3–5"
],
"id": "wikisql-42194",
"question": "What is the result if the tie is not repeated and the away team is York City from the 1978-79 FA Cup first 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": [
"Replay"
],
"style": "rule"
} | {
"answer": [
"Replay"
],
"id": "wikisql-42195",
"question": "What is the tie when Chester is the away team for the 1978/79 FA Cup first 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": [
"0"
],
"style": "rule"
} | {
"answer": [
"0"
],
"id": "wikisql-42199",
"question": "How many times are dots 8 and place greater than 8 for Eurovision Song Contest 1965 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-42200",
"question": "What is the average draw of Eurovision Song Contest 1965 results if place is 5 and more than 15 points?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-42201",
"question": "What is the highest draw if the points are less than 11 and the language for the Eurovision Song Contest 1965 results is Norwegian?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-42202",
"question": "In the 1992 PBA draft, what is the total number of PBA team selections for Purefoods Tender Juicy Hot Dogs in Round 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": [
"San Miguel Beermen"
],
"style": "rule"
} | {
"answer": [
"San Miguel Beermen"
],
"id": "wikisql-42203",
"question": "From the 1992 PBA draft list, what is the PBA team for the player who went to Santo Tomas College in Round 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": [
"Pepsi Cola"
],
"style": "rule"
} | {
"answer": [
"Pepsi Cola"
],
"id": "wikisql-42204",
"question": "What is the PBA team for Roberto Jabar, picked ahead of No. 11 in Round 2 of the 1992 PBA 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": [
"20 February 1979"
],
"style": "rule"
} | {
"answer": [
"20 February 1979"
],
"id": "wikisql-42213",
"question": "What date has 7 as tie no. for the fifth round of the 1978/79 FA Cup?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3"
],
"style": "rule"
} | {
"answer": [
"3"
],
"id": "wikisql-42237",
"question": "What was the place in the third round of the 2009 Masters tournament when the result was 65-70-72=207?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"66-74-68=208"
],
"style": "rule"
} | {
"answer": [
"66-74-68=208"
],
"id": "wikisql-42238",
"question": "What was the score for 4th place in the third round of the 2009 Masters tournament?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Shingo Katayama"
],
"style": "rule"
} | {
"answer": [
"Shingo Katayama"
],
"id": "wikisql-42239",
"question": "Who scored 67-73-70=210 in the third round of the Masters tournament in 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": [
"Doha"
],
"style": "rule"
} | {
"answer": [
"Doha"
],
"id": "wikisql-42244",
"question": "What is the Arantxa Rus tournament if 2010 is not in individual performance statistics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1R"
],
"style": "rule"
} | {
"answer": [
"1R"
],
"id": "wikisql-42245",
"question": "What shows for 2009 when 2008 is A, 2012 is 1r, 2010 is q2 and 2011 is 2r in Arantxa Rus single performance stats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"US Open"
],
"style": "rule"
} | {
"answer": [
"US Open"
],
"id": "wikisql-42246",
"question": "What is the tournament if 2010 is Q2 and 2009 is 1r for Arantxa Rus among individual performance stats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"WTA Premier 5 Tournaments"
],
"style": "rule"
} | {
"answer": [
"WTA Premier 5 Tournaments"
],
"id": "wikisql-42247",
"question": "What is the tournament if 2007 WTA Premier 5 tournaments are among Arantxa Rus individual performance stats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Miami"
],
"style": "rule"
} | {
"answer": [
"Miami"
],
"id": "wikisql-42248",
"question": "What is the tournament if 2012 is Q2 for Arantxa Rus' single performance stats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"188"
],
"style": "rule"
} | {
"answer": [
"188"
],
"id": "wikisql-42249",
"question": "What does 2008 show when 2010 is 138 in Arantxa Rus' singles performance stats?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-42268",
"question": "What is Hungary's highest rowing rank at the 2008 Summer Olympics - Men's Lightweight Double Sculls, heat 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": [
"R"
],
"style": "rule"
} | {
"answer": [
"R"
],
"id": "wikisql-42269",
"question": "What is the grade of the country with a 4th place finish in Rowing at the 2008 Summer Olympics - Men's Lightweight Double Sculls, Heat 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": [
"Denmark"
],
"style": "rule"
} | {
"answer": [
"Denmark"
],
"id": "wikisql-42270",
"question": "Which country had a time of 6:14.84 in rowing at the 2008 Summer Olympics - Men's Lightweight Double Sculls, Heat 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": [
"Involuntary suspension of season."
],
"style": "rule"
} | {
"answer": [
"Involuntary suspension of season."
],
"id": "wikisql-42273",
"question": "From the Texas Wildcatters 2nd round roster, which 2nd round has a 3rd round involuntary stay of the season's 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": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-42274",
"question": "NAME THE Finals that have a first round w, 3-1, mis among the Texas Wildcatters 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": [
"L, 2–4, FLA"
],
"style": "rule"
} | {
"answer": [
"L, 2–4, FLA"
],
"id": "wikisql-42276",
"question": "Which 3rd round has a 1st round - among the Texas Wildcatters 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": [
"—"
],
"style": "rule"
} | {
"answer": [
"—"
],
"id": "wikisql-42277",
"question": "Which finals have a first round playoff among the Texas Wildcatters?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-42293",
"question": "What is the lowest rank for a Guam player among the canoeists at the 2008 Summer Olympics - Men's C-1 500 meters heat 3?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"7.0"
],
"style": "rule"
} | {
"answer": [
"7.0"
],
"id": "wikisql-42294",
"question": "What is the rank of a Guam player in canoeing at the 2008 Summer Olympics - Men's C-1 500 meters heat 3?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-42295",
"question": "Which 1975 New York Giants weekly schedule has a score of l 20-13 and a viewership greater than 49,598?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-42296",
"question": "How many weeks does an opponent have with the San Francisco 49ers and attendance less than 34,354 in the New York Giants' 1975 season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"L 21–13"
],
"style": "rule"
} | {
"answer": [
"L 21–13"
],
"id": "wikisql-42297",
"question": "What is the score of an opponent from the 1975 season of the Washington Redskins from the 1975 New York Giants schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-42298",
"question": "What week did the Dallas Cowboys play in the 1975 New York Giants season schedule?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-42299",
"question": "What is the average reaction for time less than 20.05 in Jamaica with a track greater than 5 for the 2007 IAAF World Championships - Men's 200m Final?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Luka Špik , Iztok Čop"
],
"style": "rule"
} | {
"answer": [
"Luka Špik , Iztok Čop"
],
"id": "wikisql-42319",
"question": "Who are the rowers with a time of 6:39.49 in rowing at the 2008 Summer Olympics - Men's Double Sculls, Heat 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": [
"Bulgaria"
],
"style": "rule"
} | {
"answer": [
"Bulgaria"
],
"id": "wikisql-42320",
"question": "What is the country of rowers with rank 4 in Round 3 of the 2008 Summer Olympics in Men's 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": [
"70.0"
],
"style": "rule"
} | {
"answer": [
"70.0"
],
"id": "wikisql-42326",
"question": "What is the average score for Søren Kjeldsen in the first round of the 2009 PGA Championship?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-42327",
"question": "What is the 1946 Ladder game win vs South Warrnambool if the Hampden Football Netball League tie is less than 0?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-42328",
"question": "What is the smallest tie Warrnambool if the against was less than 1299, more than 7 wins and less than 2 losses in the Hampden Football Netball League 1946 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-42329",
"question": "What about if the tie was more than 0 and 13 losses for the 1946 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": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-42330",
"question": "What's wrong with Hampden Football Netball League 1946 Ladder losing 2+, winning 3+ and drawing 0+?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-42331",
"question": "What is the highest number of losses for Camperdown when the game was under 945 for the Hampden Football Netball League 1946 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": [
"Mong Kok , Kowloon"
],
"style": "rule"
} | {
"answer": [
"Mong Kok , Kowloon"
],
"id": "wikisql-42351",
"question": "Which location has a home stadium of Mong Kok Stadium among soccer clubs in Hong Kong' K?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kitchee"
],
"style": "rule"
} | {
"answer": [
"Kitchee"
],
"id": "wikisql-42352",
"question": "Which club is in the Premier League of Hong Kong K Soccer Clubs?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"N/A"
],
"style": "rule"
} | {
"answer": [
"N/A"
],
"id": "wikisql-42353",
"question": "from list of soccer clubs in hong kong, k, what is home stadium location n/a for kcdrsc ?",
"split": "train"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.