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": [
"Darren Le Tissier Mark Leadbeater",
"Glenn MacFarlane Mark Leadbeater"
],
"style": "rule"
} | {
"answer": [
"Darren Le Tissier Mark Leadbeater",
"Glenn MacFarlane Mark Leadbeater"
],
"id": "wikisql-68917",
"question": "Name the men's doubles for years before 1999 and Elizabeth Cann for the women's singles under badminton at the island games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.0"
],
"style": "rule"
} | {
"answer": [
"0.0"
],
"id": "wikisql-68918",
"question": "What is the most points before 1953 with a Ferrari 375/50 chassis under Chico Landi?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1956"
],
"style": "rule"
} | {
"answer": [
"1956"
],
"id": "wikisql-68919",
"question": "What was the last year with more than 0 points at Chico Landi?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1951"
],
"style": "rule"
} | {
"answer": [
"1951"
],
"id": "wikisql-68920",
"question": "Which Chico Landi year had less than 1.5 points, a Escuderia Bandeirantes competitor and a Maserati straight-4 engine?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"0.0"
],
"style": "rule"
} | {
"answer": [
"0.0"
],
"id": "wikisql-68921",
"question": "Give the number of points for the participant of the escuderia bandeirantes before 1952 under Chico Landi ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"28685"
],
"style": "rule"
} | {
"answer": [
"28685"
],
"id": "wikisql-68924",
"question": "What was the lowest population figure in El Jadida Province in 2004 when there were 5158 households?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68925",
"question": "Considering El Jadida province what is the number of Moroccan population if the name is Sebt Saiss and the population in 2004 is more than 11212?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68960",
"question": "What year did Spirit Tom's Racing have more than 3 points under Paolo Barilla?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"3.0"
],
"style": "rule"
} | {
"answer": [
"3.0"
],
"id": "wikisql-68961",
"question": "In the 1984 Kansas City Chiefs season, what's the average week for attendance of 75,111?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68962",
"question": "From the 1984 Kansas City Chiefs season, give the total for the week with attendances of 62,233 ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68963",
"question": "In the Eurovision Song Contest 2002, who among the Swedes had the fewest points in 3rd place, but a position higher than 8?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"4th"
],
"style": "rule"
} | {
"answer": [
"4th"
],
"id": "wikisql-68964",
"question": "What was the place where Sweden won the Eurovision Song Contest 2002 with a total of 90 points but a position below 5?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
" Never Let It Go "
],
"style": "rule"
} | {
"answer": [
" Never Let It Go "
],
"id": "wikisql-68965",
"question": "What is the name of the song by afro-dite that gave Sweden a total score of more than 100 in the Eurovision Song Contest 2002?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68968",
"question": "For the Sasol Jordan competitor, add up all the points with a year greater than 1993 for Aguri Suzuki. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68969",
"question": "Give the most points that Jordan 194 offers in the chassis column below Aguri Suzuki. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Honda 1.0L IMA Insight"
],
"style": "rule"
} | {
"answer": [
"Honda 1.0L IMA Insight"
],
"id": "wikisql-68970",
"question": "Which car was awarded International Engine of the Year in 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": [
"Honda 1.0L IMA Insight"
],
"style": "rule"
} | {
"answer": [
"Honda 1.0L IMA Insight"
],
"id": "wikisql-68971",
"question": "Which car won International Engine of the Year in 2000 (won by Toyota 1sz-fe 1.0l Yaris in 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": [
"BMW N42 1.8L Valvetronic"
],
"style": "rule"
} | {
"answer": [
"BMW N42 1.8L Valvetronic"
],
"id": "wikisql-68972",
"question": "Which International Engine of the Year car won the same award in 2001 as the Toyota 1nz-fxe Hybrid Prius did in 1999?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Ferrari F133 5.5L V12 456 / 550"
],
"style": "rule"
} | {
"answer": [
"Ferrari F133 5.5L V12 456 / 550"
],
"id": "wikisql-68973",
"question": "Which car among the International Engine of the Year won the same award in 2000 as the Ferrari f133 5.5l v12 456/550 in 2001?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BMW S54B32 3.2L M3"
],
"style": "rule"
} | {
"answer": [
"BMW S54B32 3.2L M3"
],
"id": "wikisql-68974",
"question": "What car won the same award in 2001 as the BMW m67d39 3.9l v8 e38 740d in 1999 for International Engine of the Year?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BMW N42 1.8L Valvetronic"
],
"style": "rule"
} | {
"answer": [
"BMW N42 1.8L Valvetronic"
],
"id": "wikisql-68975",
"question": "Which International Engine of the Year car won the 2001 1.4-1.8 liter 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": [
"Grassy"
],
"style": "rule"
} | {
"answer": [
"Grassy"
],
"id": "wikisql-68976",
"question": "What is the surface of the mountain range containing Elk Garden Mountain below the Bald Appalachians?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68985",
"question": "From the list of cascade volcanoes, the type of stratovolcano and the name goat rock and an elevation (m) greater than 2,494, which has the highest elevation in feet?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"5"
],
"style": "rule"
} | {
"answer": [
"5"
],
"id": "wikisql-68986",
"question": "What was the low point of the British Racing Partnership after 1963?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"BRP 1",
"BRP 1"
],
"style": "rule"
} | {
"answer": [
"BRP 1",
"BRP 1"
],
"id": "wikisql-68987",
"question": "What chassis was used when British Racing Partnership scored over 6 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": [
"6.0"
],
"style": "rule"
} | {
"answer": [
"6.0"
],
"id": "wikisql-68988",
"question": "What is the average score of drivers before 1964 for British Racing Partnership?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68992",
"question": "How many silver metals do countries with 2 gold medals in curling at the 2010 Winter Olympics own?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-68993",
"question": "What is the total silver metals for all countries with more than 2 bronze medals in curling at the 2010 Winter Olympics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"None"
],
"style": "rule"
} | {
"answer": [
"None"
],
"id": "wikisql-68994",
"question": "What is the lowest number of bronze medals for a country with less than 1 gold and 0 silver in curling at the 2010 Winter Olympics?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"December 26, 1982"
],
"style": "rule"
} | {
"answer": [
"December 26, 1982"
],
"id": "wikisql-68999",
"question": "Can you provide the date for the location of the Riverfront Stadium starting in the 1982 Seattle Seahawks 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": [
"1-2"
],
"style": "rule"
} | {
"answer": [
"1-2"
],
"id": "wikisql-69000",
"question": "Name the 1982 Seattle Seahawks record crowd of 73,996?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Kingdome"
],
"style": "rule"
} | {
"answer": [
"Kingdome"
],
"id": "wikisql-69001",
"question": "Name the venue where the score of w 20-14 for the Seattle Seahawks 1982 season was played?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 10-24"
],
"style": "rule"
} | {
"answer": [
"L 10-24"
],
"id": "wikisql-69002",
"question": "What's the result of week 16 of the 1982 Seattle Seahawks 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": [
"4-5"
],
"style": "rule"
} | {
"answer": [
"4-5"
],
"id": "wikisql-69003",
"question": "Name the Seattle Seahawks' record of w 13-11 from the 1982 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": [
"19 December 2007",
"20 December 2007",
"21 December 2007",
"22 December 2007"
],
"style": "rule"
} | {
"answer": [
"19 December 2007",
"20 December 2007",
"21 December 2007",
"22 December 2007"
],
"id": "wikisql-69005",
"question": "The length of 30 minutes that aired on what date in Oliver Twist (TV mini-series 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": [
"18 December 2007"
],
"style": "rule"
} | {
"answer": [
"18 December 2007"
],
"id": "wikisql-69006",
"question": "When did the 60 minute length air in Oliver Twist (TV Miniseries 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": [
"19"
],
"style": "rule"
} | {
"answer": [
"19"
],
"id": "wikisql-69009",
"question": "What is the total score of participants with Emanuele Naspetti's Reynard 92d chassis?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69010",
"question": "What is the total score of participants with a Ford-Cosworth engine and a year later than 1991 under Emanuele Naspetti?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Bangkok , Thailand"
],
"style": "rule"
} | {
"answer": [
"Bangkok , Thailand"
],
"id": "wikisql-69013",
"question": "Can you name the venue for the score of 1-3 under Phan Thanh Binh, Nha Trang, Vietnam?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69014",
"question": "What are the names of the points with chassis from March 751 under Vittorio Brambilla?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69015",
"question": "Name most points for years before 1979 and chassis of Alfa Romeo 177 under Vittorio Brambilla?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69016",
"question": "Regarding Vittorio Brambilla, what is the total score for the March 1975 Beta team and the March 751 chassis?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 May"
],
"style": "rule"
} | {
"answer": [
"3 May"
],
"id": "wikisql-69027",
"question": "What is the date the constructor Bugatti won at the Madonie circuit in the 1925 Grand Prix 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": [
"Emilio Materassi"
],
"style": "rule"
} | {
"answer": [
"Emilio Materassi"
],
"id": "wikisql-69028",
"question": "Who was the winning driver of the Savio Circuit in the 1925 Grand Prix season with constructor Itala?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1875.0"
],
"style": "rule"
} | {
"answer": [
"1875.0"
],
"id": "wikisql-69032",
"question": "What is the average year for Wallenstein with 1a1 execution at the Bayerische Ludwigsbahn?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1A1"
],
"style": "rule"
} | {
"answer": [
"1A1"
],
"id": "wikisql-69033",
"question": "Which type of the Bavarian Ludwigsbahn was acquired in 1875?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Arthur Osborne"
],
"style": "rule"
} | {
"answer": [
"Arthur Osborne"
],
"id": "wikisql-69034",
"question": "Who was the incumbent when Arthur Osborne won the 1951 New Zealand general election?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Gary Bennett"
],
"style": "rule"
} | {
"answer": [
"Gary Bennett"
],
"id": "wikisql-69049",
"question": "Leading scorer with a goal under 23, a Football League Division 3 league and a year from 1997 to 1998 is who in Chester City FC history?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"14"
],
"style": "rule"
} | {
"answer": [
"14"
],
"id": "wikisql-69050",
"question": "Which Ian Rush top scorer has the lowest number of goals in Chester City FC history?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-69051",
"question": "How many goals in the history of Chester City FC who have a position of 14th out of 24 and what is the total for a League of Football Conference?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Football League Division 4"
],
"style": "rule"
} | {
"answer": [
"Football League Division 4"
],
"id": "wikisql-69052",
"question": "Regarding Chester City FC history, position is 7th of 24 and one goal under 24, which league?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Frank Williams Racing Cars",
"Frank Williams Racing Cars",
"Trojan-Tauranac Racing",
"John Player Team Lotus"
],
"style": "rule"
} | {
"answer": [
"Frank Williams Racing Cars",
"Frank Williams Racing Cars",
"Trojan-Tauranac Racing",
"John Player Team Lotus"
],
"id": "wikisql-69053",
"question": "Which participant scored less than 2 points for Tim Schenken?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Frank Williams Racing Cars"
],
"style": "rule"
} | {
"answer": [
"Frank Williams Racing Cars"
],
"id": "wikisql-69054",
"question": "Which participant used the chassis of the Tomaso 505 in the Schenken 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": [
"Francesco Camusso ( ITA )"
],
"style": "rule"
} | {
"answer": [
"Francesco Camusso ( ITA )"
],
"id": "wikisql-69061",
"question": "Who is leading from Cuneo to Turin in the 1931 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Milan to Mantua"
],
"style": "rule"
} | {
"answer": [
"Milan to Mantua"
],
"id": "wikisql-69062",
"question": "Which route will you ride on Stage 1 of the 1931 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"km (mi)"
],
"style": "rule"
} | {
"answer": [
"km (mi)"
],
"id": "wikisql-69063",
"question": "What is the distance of Stage 4 of the 1931 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"km (mi)"
],
"style": "rule"
} | {
"answer": [
"km (mi)"
],
"id": "wikisql-69064",
"question": "How long was the course for stage 4 of the 1931 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Alfredo Binda ( ITA )"
],
"style": "rule"
} | {
"answer": [
"Alfredo Binda ( ITA )"
],
"id": "wikisql-69065",
"question": "Who was the race director for Stage 5 of the 1931 Giro d'Italia?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"9–2"
],
"style": "rule"
} | {
"answer": [
"9–2"
],
"id": "wikisql-69066",
"question": "What is the result for Widodo Cahyono Putro for AFC Asian Cup 2000 qualifiers?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69067",
"question": "What is the lowest total if bronze is less than 2 and rank is more than 2 with silver less than 1 for the 2004 World Figure Skating 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-69068",
"question": "What is the greatest gold with a total of 2 and a rank less than 2 for the 2005 World Junior Figure Skating 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-69069",
"question": "What is the lowest total from the United States ranking less than 2 at the 2005 World Junior Figure Skating 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-69070",
"question": "What is the average silver with a rank less than 2 and more than 1 gold at the 2005 World Junior Figure Skating 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-69071",
"question": "What is the lowest rank with a total less than 1 at the 2005 World Junior Figure Skating 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-69075",
"question": "What year was the Barcaldine region greater than 1,868 and the Aramac region less than 1,592?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69076",
"question": "What is the 1976 high population (total) with one (Barcaldine) less than 1,780 from the Barcaldine region?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69077",
"question": "For the region of Barcaldine, which year had a population (total) of 3,492 and one (Barcaldine) of less than 1,818?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69078",
"question": "In the Barcaldine region, what is the average (Jericho) with a population (total) less than 4,059 in 1986 and one (Barcaldine) greater than 1,779?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69079",
"question": "What is the average (Barcaldine) with a population (Total) less than 3,594 and 920 (Jericho) after 2006 in the Barcaldine region?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69080",
"question": "What year has in the Barcaldine region a (Aramac) of 832 and a population (total) of less than 3,762?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Blonde"
],
"style": "rule"
} | {
"answer": [
"Blonde"
],
"id": "wikisql-69085",
"question": "What color hair does Kool Kayla have when it was released January 2009 on Ty Girlz?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Light Brown"
],
"style": "rule"
} | {
"answer": [
"Light Brown"
],
"id": "wikisql-69086",
"question": "Regarding Ty Girlz, what color are the eyes of Oo-lala Olivia released 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": [
"July 2007"
],
"style": "rule"
} | {
"answer": [
"July 2007"
],
"id": "wikisql-69087",
"question": "What is the Ty Girlz golden hair color release date?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Yes",
"Yes"
],
"style": "rule"
} | {
"answer": [
"Yes",
"Yes"
],
"id": "wikisql-69088",
"question": "Below Ty Girlz with dark brown eyes and black hair, who is retired?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1950"
],
"style": "rule"
} | {
"answer": [
"1950"
],
"id": "wikisql-69092",
"question": "What year does Bob Gerard have an ERA engine and ERA-A chassis?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1953"
],
"style": "rule"
} | {
"answer": [
"1953"
],
"id": "wikisql-69093",
"question": "What is the earliest year to have a Bristol engine under Bob Gerard?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikisql-69098",
"question": "Considering Lamberto Leoni, how many points did the competitor earn in 1985 with the March 85B chassis?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"8"
],
"style": "rule"
} | {
"answer": [
"8"
],
"id": "wikisql-69099",
"question": "How many points did Corbari Italia collect under Lamberto Leoni in 1985?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69103",
"question": "What was the average game when attendance for the 1972 World Series exceeded 56,040?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 15"
],
"style": "rule"
} | {
"answer": [
"October 15"
],
"id": "wikisql-69104",
"question": "What was the date when it was 2:26 am and the location was Riverfront Stadium for the 1972 World Series?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Tiffany Joh"
],
"style": "rule"
} | {
"answer": [
"Tiffany Joh"
],
"id": "wikisql-69115",
"question": "Who was the US Women's Amateur Public Links winner from the United States the year Kimberly Kim finished second?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"16"
],
"style": "rule"
} | {
"answer": [
"16"
],
"id": "wikisql-69116",
"question": "What number choice was the player for the Oakland Athletics playing the 1B position in the 2002 Major League Baseball 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": [
"Allsv."
],
"style": "rule"
} | {
"answer": [
"Allsv."
],
"id": "wikisql-69120",
"question": "What was the comp on 8/6/2007 for Djurgårdens IF 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": [
"2/month"
],
"style": "rule"
} | {
"answer": [
"2/month"
],
"id": "wikisql-69126",
"question": "What is the data limit for a T-Mobile Internet basic plan in the Czech Republic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69127",
"question": "What is the data limit for Vodafone on the Internet in the Czech Republic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Mobilní internet"
],
"style": "rule"
} | {
"answer": [
"Mobilní internet"
],
"id": "wikisql-69128",
"question": "Which plan has monthly prices of 300, 500, 750, 1000 under Internet in Czech Republic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1024"
],
"style": "rule"
} | {
"answer": [
"1024"
],
"id": "wikisql-69129",
"question": "What is the maximum download speed for Internet Premium 3G plan in the Czech Republic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"512"
],
"style": "rule"
} | {
"answer": [
"512"
],
"id": "wikisql-69130",
"question": "What is the maximum download speed for basic internet plan with 3G internet in Czech Republic?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1978.0"
],
"style": "rule"
} | {
"answer": [
"1978.0"
],
"id": "wikisql-69140",
"question": "In what year did Didier Pironi score less than 9 points on average?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69141",
"question": "From Didier Pironi's list, what is the total score of the teams using a ligier js11/15 chassis?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69142",
"question": "In which year did Didier Pironi earn the most more than 14 points for Team Tyrrell?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69154",
"question": "In what year is the Isis population 4,082 and the regional population less than 55,990 in the Bundaberg region?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-69155",
"question": "Considering the Bundaberg region of Australia, if the Isis population is 3,718 and the Gooburrum population is less than 4,776, what is the highest Woongarra population?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Hannah Stockbauer"
],
"style": "rule"
} | {
"answer": [
"Hannah Stockbauer"
],
"id": "wikisql-69159",
"question": "List a name who has a run of at least 3 and a lane of exactly 5 in swimming at the 2000 Summer Olympics - Women's 800m Freestyle. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"WWE Championship"
],
"style": "rule"
} | {
"answer": [
"WWE Championship"
],
"id": "wikisql-69161",
"question": "Name the championship among current champions in WWE with the reign of 8th ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 , Florida"
],
"style": "rule"
} | {
"answer": [
"Miami , Florida"
],
"id": "wikisql-69163",
"question": "Name the place of reign 3 in the current champions of WWE. ?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 16, 2013"
],
"style": "rule"
} | {
"answer": [
"June 16, 2013"
],
"id": "wikisql-69164",
"question": "Name the date the WWE Intercontinental Championship was won in the list of current champions in WWE?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"1992/07/17 July 17, 1992"
],
"style": "rule"
} | {
"answer": [
"1992/07/17 July 17, 1992"
],
"id": "wikisql-69165",
"question": "When was Ranma ½: netsuretsu kakutouhen the first Banpresto release in the list of Ranma ½ video games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"Text Adventure"
],
"style": "rule"
} | {
"answer": [
"Text Adventure"
],
"id": "wikisql-69166",
"question": "In what genre did Microvision develop a game in List of Ranma ½ video games?",
"split": "train"
} |
OpenWTQ | tool_agent | [
{
"content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ... | table_reasoning | {
"ground_truth": [
"RPG (Fighter)"
],
"style": "rule"
} | {
"answer": [
"RPG (Fighter)"
],
"id": "wikisql-69167",
"question": "From Ranma ½ video games list, what genre is Banpresto game titled Ranma ½: netsuretsu kakutouhen ?",
"split": "train"
} |
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