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": [ "Return Of The Renegade" ], "style": "rule" }
{ "answer": [ "Return Of The Renegade" ], "id": "wikisql-65520", "question": "What single was written from One Be Lo discography on artist cap D?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 February 2007" ], "style": "rule" }
{ "answer": [ "18 February 2007" ], "id": "wikisql-65521", "question": "What date was Nika Ožegović's opponent in the Virginie Pichet 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": [ "2:23" ], "style": "rule" }
{ "answer": [ "2:23" ], "id": "wikisql-65522", "question": "When was game 7 of the 1967 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": [ "Test driver" ], "style": "rule" }
{ "answer": [ "Test driver" ], "id": "wikisql-65528", "question": "Under Anthony Davidson, which race has a test driver and team name of Lucky Strike Honda Racing f1 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": [ "Test driver" ], "style": "rule" }
{ "answer": [ "Test driver" ], "id": "wikisql-65529", "question": "What poles does a 2009 season and test driver points have for Anthony Davidson?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65536", "question": "What is the total range geared in Brussels under Les Bourgeois?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Une île" ], "style": "rule" }
{ "answer": [ "Une île" ], "id": "wikisql-65537", "question": "Which title under Les Bourgeois has tracks smaller than 7 with translation of an island?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "1962-03-14" ], "style": "rule" }
{ "answer": [ "1962-03-14" ], "id": "wikisql-65538", "question": "What is the record for Les Bourgeois from Brussels Translations?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Away" ], "style": "rule" }
{ "answer": [ "Away" ], "id": "wikisql-65541", "question": "What is Nickerson Field's July 10 home/away game for the 2004 Philadelphia Barrage 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": [ "June 12" ], "style": "rule" }
{ "answer": [ "June 12" ], "id": "wikisql-65542", "question": "When is the 2004 season away game vs Pride at Philadelphia Barrage?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "W 18-17" ], "style": "rule" }
{ "answer": [ "W 18-17" ], "id": "wikisql-65543", "question": "What was the result of the home game in the 2004 Philadelphia Barrage season on August 14?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 15" ], "style": "rule" }
{ "answer": [ "July 15" ], "id": "wikisql-65544", "question": "What is the date of the game against the Lizards with a score of w 18-17 for the 2004 Philadelphia Barrage 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": [ "Nickerson Field" ], "style": "rule" }
{ "answer": [ "Nickerson Field" ], "id": "wikisql-65545", "question": "What is the field of play on July 22 in the 2004 Philadelphia Barrage 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": [ "2" ], "style": "rule" }
{ "answer": [ "2" ], "id": "wikisql-65554", "question": "What is the highest round in the Wec 25 match between Alex Karalexis in Las Vegas, Nevada, USA?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "RF 13: New Hampshire" ], "style": "rule" }
{ "answer": [ "RF 13: New Hampshire" ], "id": "wikisql-65555", "question": "Which event had 1 round and a record of 6-2 for Alex Karalexis?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65573", "question": "How many tons did the ship Peter-Erich Cremer from Norway weigh?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65579", "question": "What is the total for New York State and a swimsuit less than 9,394 under Miss Teen USA 1988?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65580", "question": "What is the best interview in Miss Teen USA 1988 that has a swimsuit rating less than 8,838?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65581", "question": "What is the lowest average having a swimsuit score less than 8.966 for West Virginia and evening dress score less than 8.711 in Miss Teen USA 1988?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "9.283" ], "style": "rule" }
{ "answer": [ "9.283" ], "id": "wikisql-65582", "question": "What is the lowest swimsuit for Miss Teen USA 1988 having an evening gown greater than 8,794 for Illinois?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "25" ], "style": "rule" }
{ "answer": [ "25" ], "id": "wikisql-65585", "question": "From list of tallest buildings in Sweden, what is the highest number of storeys in Stockholm ranked 15?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "11" ], "style": "rule" }
{ "answer": [ "11" ], "id": "wikisql-65586", "question": "What is the rank of Skanskaskrapan among the list of tallest buildings in Sweden?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "6" ], "style": "rule" }
{ "answer": [ "6" ], "id": "wikisql-65587", "question": "What is the rank of Point Hyllie in the list of tallest buildings in Sweden?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65588", "question": "How many bronze medals for the 2 gold medal and under 2 place biathlon nation at the 1998 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": [ "n/a", "n/a", "n/a", "15Mb", "20Mb", "40Mb", "10Mb", "20Mb", "10/20/40Mb" ], "style": "rule" }
{ "answer": [ "n/a", "n/a", "n/a", "15Mb", "20Mb", "40Mb", "10Mb", "20Mb", "10/20/40Mb" ], "id": "wikisql-65603", "question": "Tell me HDD capacity for #FDD greater than 0 if FDD capacity is 710KB among HP-150, HP-210, HP-220, HP-230, HP-250 and HP-260?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "9133D", "9133H", "9133L", "9153A", "9153B", "9153C" ], "style": "rule" }
{ "answer": [ "9133D", "9133H", "9133L", "9153A", "9153B", "9153C" ], "id": "wikisql-65604", "question": "I want to know the HP model with a #HDD of 1 of pages of ds under HP-150, HP-125, HP-200, HP-240, HP-250, HP-250 and HP-350?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Amigo" ], "style": "rule" }
{ "answer": [ "Amigo" ], "id": "wikisql-65605", "question": "Tell me the instruction set with FDD capacity 270KB and pages of DS with #FDD more than 1 for HP-150?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Takuma Sato" ], "style": "rule" }
{ "answer": [ "Takuma Sato" ], "id": "wikisql-65611", "question": "Which driver in the 2004 French Grand Prix has a starting grid of less than 10 and less than 70 laps?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65612", "question": "How many total laps for a grid of 3 in the 2004 French 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": [ "18.0" ], "style": "rule" }
{ "answer": [ "18.0" ], "id": "wikisql-65613", "question": "What is the average starting grid for Giorgio Pantano in the 2004 French 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": [ "LGAV" ], "style": "rule" }
{ "answer": [ "LGAV" ], "id": "wikisql-65628", "question": "Which IATA of ICAO belongs to the destinations of Singapore Airlines?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Japan" ], "style": "rule" }
{ "answer": [ "Japan" ], "id": "wikisql-65629", "question": "Which city in which country is Sendai in Singapore Airlines destinations?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "EGCC" ], "style": "rule" }
{ "answer": [ "EGCC" ], "id": "wikisql-65630", "question": "Which ICAO city is Manchester among Singapore Airlines destinations?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "King Abdulaziz International Airport" ], "style": "rule" }
{ "answer": [ "King Abdulaziz International Airport" ], "id": "wikisql-65631", "question": "Which airport is located in Saudi Arabia if ICAO is among the destinations of Singapore Airlines?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "SDJ" ], "style": "rule" }
{ "answer": [ "SDJ" ], "id": "wikisql-65632", "question": "Which ICAO of IATA is among Singapore Airlines rjss destinations?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Australia" ], "style": "rule" }
{ "answer": [ "Australia" ], "id": "wikisql-65633", "question": "In which country is Adelaide Airport among Singapore Airlines destinations?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "PCI CX2388x" ], "style": "rule" }
{ "answer": [ "PCI CX2388x" ], "id": "wikisql-65650", "question": "Tell me the host interface for Digital from DVB-T (cx22702) and the model from Nova-T PCI (90002) under Hauppauge Computer Works?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Nova-t PCI (90003)" ], "style": "rule" }
{ "answer": [ "Nova-t PCI (90003)" ], "id": "wikisql-65651", "question": "i would like the model for digital dvb-t (cx22702) and tuner from thomson dtt75105 for Hauppauge Computer Works ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Digital Satellite" ], "style": "rule" }
{ "answer": [ "Digital Satellite" ], "id": "wikisql-65652", "question": "I want Hauppauge Computer Works host interface type for pci saa7146 tmx320av7111. ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Xceive XC3028" ], "style": "rule" }
{ "answer": [ "Xceive XC3028" ], "id": "wikisql-65653", "question": "I want the tuner for hybrid VCR and digital from dvb-t (zl10353) and a model from hvr-900 for Hauppauge Computer Works ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "DVB-T (CX22702)" ], "style": "rule" }
{ "answer": [ "DVB-T (CX22702)" ], "id": "wikisql-65654", "question": "Tell me the digital tuner for Thomson dtt75105 under Hauppauge Computer Works ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "0" ], "style": "rule" }
{ "answer": [ "0" ], "id": "wikisql-65692", "question": "If tennis has less than 2 bronzes, what is the total number of golds in Iran at the 1966 Asian 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": [ "1" ], "style": "rule" }
{ "answer": [ "1" ], "id": "wikisql-65693", "question": "If Volleyball 2 has bronze, what is the total number of silvers for Iran at the 1966 Asian 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": [ "1" ], "style": "rule" }
{ "answer": [ "1" ], "id": "wikisql-65694", "question": "What is the total number of bronze in Iran at the 1966 Asian Games when athletics has more than 2 and 0 gold overall?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65695", "question": "What was the most recent game of the 1998 National League Championship Series with a viewership of more than 65,042?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 Laps" ], "style": "rule" }
{ "answer": [ "+ 3 Laps" ], "id": "wikisql-65700", "question": "What is Ivan Capelli's time/retirement for the 1987 Portuguese 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": [ "Los Angeles , California" ], "style": "rule" }
{ "answer": [ "Los Angeles , California" ], "id": "wikisql-65706", "question": "Where was the March 11, 1999 Frankie Hejduk match 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": [ "76" ], "style": "rule" }
{ "answer": [ "76" ], "id": "wikisql-65709", "question": "How many laps have a time/retirement of +4 laps and a Graham Hill driver in the 1972 Monaco 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": [ "Engine" ], "style": "rule" }
{ "answer": [ "Engine" ], "id": "wikisql-65710", "question": "What time/retired has less than 77 laps and a starting grid of 16 for the 1972 Monaco 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": [ "BRM" ], "style": "rule" }
{ "answer": [ "BRM" ], "id": "wikisql-65711", "question": "In the 1972 Monaco Grand Prix, which constructor has a grid less than 24, more than 77 laps and a driver by Jean-Pierre Beltoise?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Jean Behra" ], "style": "rule" }
{ "answer": [ "Jean Behra" ], "id": "wikisql-65713", "question": "Who drove the Maserati under 18 laps with an oil leak that had an under 14 grid at the 1957 Pescara 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": [ "12.0" ], "style": "rule" }
{ "answer": [ "12.0" ], "id": "wikisql-65714", "question": "What is the average starting grid for Jo Siffert at the 1969 South African 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": [ "16 February" ], "style": "rule" }
{ "answer": [ "16 February" ], "id": "wikisql-65726", "question": "When was Bristol Rovers FC vs Southampton game played in 2007/08 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": [ "Away" ], "style": "rule" }
{ "answer": [ "Away" ], "id": "wikisql-65727", "question": "Which Bristol Rovers FC venue had 13,634 visitors in the 2007/08 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 November" ], "style": "rule" }
{ "answer": [ "10 November" ], "id": "wikisql-65728", "question": "When was Leyton Orient an away team in Bristol Rovers FC season 2007/08?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Marco Pantani ( ITA )" ], "style": "rule" }
{ "answer": [ "Marco Pantani ( ITA )" ], "id": "wikisql-65737", "question": "Who won a mountain stage on May 22nd (1999 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": [ "Castelfranco Veneto to Alpe di Pampeago" ], "style": "rule" }
{ "answer": [ "Castelfranco Veneto to Alpe di Pampeago" ], "id": "wikisql-65738", "question": "Which course had a mountain stage on June 3rd for the 1999 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": [ "Mountain stage" ], "style": "rule" }
{ "answer": [ "Mountain stage" ], "id": "wikisql-65739", "question": "What was the course type of the 1999 Giro d'Italia on May 22nd?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65740", "question": "As of the Los Angeles Rams' 1994 season, how many weeks do they have a bye?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "New York Yanks" ], "style": "rule" }
{ "answer": [ "New York Yanks" ], "id": "wikisql-65745", "question": "Which opponent has a date of September 28, 1951 in the Los Angeles Rams' 1951 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": [ "34717" ], "style": "rule" }
{ "answer": [ "34717" ], "id": "wikisql-65746", "question": "Which participation among the 1951 Los Angeles Rams has a date of November 18, 1951?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "76.2x110 mm" ], "style": "rule" }
{ "answer": [ "76.2x110 mm" ], "id": "wikisql-65747", "question": "Name the bore x stroke of the 1929-32 Volvo inline six cylinder side valve 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": [ "cc (cuin)" ], "style": "rule" }
{ "answer": [ "cc (cuin)" ], "id": "wikisql-65748", "question": "Tell me the displacement for Volvo's side valve inline six engine between 1935 and 1945?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "hp (kW; PS)" ], "style": "rule" }
{ "answer": [ "hp (kW; PS)" ], "id": "wikisql-65749", "question": "tell me the horsepower for 1935-45 for volvo side valve inline 6 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": [ "cc (cuin)" ], "style": "rule" }
{ "answer": [ "cc (cuin)" ], "id": "wikisql-65750", "question": "I want the displacement for the version of db volvo sidevalve straight-6 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": [ "ECG" ], "style": "rule" }
{ "answer": [ "ECG" ], "id": "wikisql-65751", "question": "Tell me the version for 1940-45 of volvo side valve inline 6 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": [ "European Indoor Championships", "European Championships", "European Indoor Championships" ], "style": "rule" }
{ "answer": [ "European Indoor Championships", "European Championships", "European Indoor Championships" ], "id": "wikisql-65752", "question": "What is the name of the competition in 8th place under Roberto Mazzucato?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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 , Italy", "Budapest , Hungary" ], "style": "rule" }
{ "answer": [ "Milan , Italy", "Budapest , Hungary" ], "id": "wikisql-65753", "question": "After 1979, where did the European Indoor Championships take place under Roberto Mazzucato?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "7th" ], "style": "rule" }
{ "answer": [ "7th" ], "id": "wikisql-65754", "question": "What was the importance of the European Indoor Championships before 1979 for Roberto Mazzucato?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Warsaw" ], "style": "rule" }
{ "answer": [ "Warsaw" ], "id": "wikisql-65757", "question": "From the list of Eurolot, where has an ICAO of EPWA?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Beauvais" ], "style": "rule" }
{ "answer": [ "Beauvais" ], "id": "wikisql-65758", "question": "Where has an IATA from BVA under Eurolot ?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "(As originally planned) October 2016", "(As originally planned) October 2017" ], "style": "rule" }
{ "answer": [ "(As originally planned) October 2016", "(As originally planned) October 2017" ], "id": "wikisql-65768", "question": "Name the first sight of the Fukushima Daiichi nuclear power plant with an electrical capacity of 1,380 MW?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Win" ], "style": "rule" }
{ "answer": [ "Win" ], "id": "wikisql-65775", "question": "What is the result of Hector Ramirez (fighter) for pfc: Put Up or Shut Up?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "17" ], "style": "rule" }
{ "answer": [ "17" ], "id": "wikisql-65778", "question": "I want the highest starting grid for laps of 38 in the 2000 Canadian 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": [ "Jordan - Mugen-Honda" ], "style": "rule" }
{ "answer": [ "Jordan - Mugen-Honda" ], "id": "wikisql-65779", "question": "Tell me the designer for Grid more than 4 and the drivers were Heinz-Harald Frentzen for the 2000 Canadian 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": [ "31812" ], "style": "rule" }
{ "answer": [ "31812" ], "id": "wikisql-65780", "question": "What is Ivaiporã, the largest population among free public transport?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "2012" ], "style": "rule" }
{ "answer": [ "2012" ], "id": "wikisql-65781", "question": "Which is the smallest first year with 32,645 inhabitants in free public transport?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65800", "question": "What is the total defeats for the Montreal team in the 1898 AHAC season with 29+ goals?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65801", "question": "What are the average goals for a team that has 8+ wins in the 1898 AHAC season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "None" ], "style": "rule" }
{ "answer": [ "None" ], "id": "wikisql-65802", "question": "What is the greatest number of games played with losses greater than 3 and wins greater than 5 in the 1898 AHAC 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": [ "0" ], "style": "rule" }
{ "answer": [ "0" ], "id": "wikisql-65803", "question": "How many ties are there in games with goals against under 33 in AHAC 1898 season?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "None" ], "style": "rule" }
{ "answer": [ "None" ], "id": "wikisql-65804", "question": "How many goals were scored at 1898 AHAC for games played over 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": [ "Democratic" ], "style": "rule" }
{ "answer": [ "Democratic" ], "id": "wikisql-65805", "question": "Which party is Class 1 in Wisconsin among women in the United States Senate?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Washington" ], "style": "rule" }
{ "answer": [ "Washington" ], "id": "wikisql-65806", "question": "In which state was Maria Cantwell born among the women in the US Senate after 1955?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "None" ], "style": "rule" }
{ "answer": [ "None" ], "id": "wikisql-65807", "question": "What is the total of laps for Lance Reventlow with a starting grid of more than 16 for the 1960 Belgian 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": [ "BRM" ], "style": "rule" }
{ "answer": [ "BRM" ], "id": "wikisql-65808", "question": "Name me the constructor who did 35 laps with a grid greater than 5 for the 1960 Belgian 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": [ "1" ], "style": "rule" }
{ "answer": [ "1" ], "id": "wikisql-65809", "question": "What is the total number of grids for Chuck Daigh in the 1960 Belgian 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": [ "62 2nd" ], "style": "rule" }
{ "answer": [ "62 2nd" ], "id": "wikisql-65811", "question": "Which British Rail Class 114 vehicle has a diagram of 516 or less and a second drive motor brake (dmbs)?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65812", "question": "What is the lowest total if floor exercise is less than 36,724 and rank less than 8 for Gymnastics at the 2004 Summer Olympics - Women's Artistic Qualification?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "Decision (split)" ], "style": "rule" }
{ "answer": [ "Decision (split)" ], "id": "wikisql-65838", "question": "What method did Clay Guida use when the opponent was Tyson Griffin?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65844", "question": "From the 1934 World Ice Hockey Championships list, which team has a loss value greater than 1 and a win value 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": [ "4-1" ], "style": "rule" }
{ "answer": [ "4-1" ], "id": "wikisql-65845", "question": "Who won the game 1-0 at listener Lindsay Tarpley in Guangzhou?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find the answer.\n\nYou must strictly follow this workflow:\n\n1. **Search**: Analyze the user's question to generate effective ...
table_reasoning
{ "ground_truth": [ "4-1" ], "style": "rule" }
{ "answer": [ "4-1" ], "id": "wikisql-65846", "question": "Who won Lindsay Tarpley on 03/13/2006 in the Algarve 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": [ "5-0" ], "style": "rule" }
{ "answer": [ "5-0" ], "id": "wikisql-65847", "question": "Who won under Lindsay Tarpley on 04/14/2007?", "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": [ "Vanwall" ], "style": "rule" }
{ "answer": [ "Vanwall" ], "id": "wikisql-65869", "question": "Who was the designer when the Grid 2 was for the 1958 Italian 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": [ "+ 1 Lap" ], "style": "rule" }
{ "answer": [ "+ 1 Lap" ], "id": "wikisql-65870", "question": "What is the time/retirement of driver Masten Gregory Carroll Shelby when the constructor was Maserati, the grid was greater than 10 and there were more than 2 laps in the 1958 Italian 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": [ "1.0" ], "style": "rule" }
{ "answer": [ "1.0" ], "id": "wikisql-65871", "question": "What was the average starting grid when Vanwall was a constructor and there were 17 laps in the 1958 Italian 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": [ "Zakspeed" ], "style": "rule" }
{ "answer": [ "Zakspeed" ], "id": "wikisql-65874", "question": "Who engineered the car that retired at the 1987 Belgian Grand Prix due to braking with a grid greater than 17?", "split": "train" }
OpenWTQ
tool_agent
[ { "content": "You are tasked with solving an open-domain table question answering problem. You must use tools(`search` and `sql_exec`) to search for tables and execute SQL queries to find 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-65875", "question": "How many laps for 25th on the grid at the 1987 Belgian 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": [ "1:27:03.217" ], "style": "rule" }
{ "answer": [ "1:27:03.217" ], "id": "wikisql-65876", "question": "What is the time/retirement for the car in the 1987 Belgian Grand Prix with over 9 laps and a grid of 6?", "split": "train" }