set
dict |
|---|
{
"query": "List the air carrier's description of the flights with 0 departure delay.",
"pos": [
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEP_DELAY = 0 GROUP BY T1.Description"
],
"neg": [
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'PHX' AND T2.ARR_TIME < ( SELECT AVG(ARR_TIME) * 0.4 FROM Airlines ) GROUP BY T1.Description",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Horizon Air%' AND T2.FL_DATE = '2018/8/2'",
"SELECT T1.DEP_TIME FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code INNER JOIN Airports AS T3 ON T1.DEST = T3.Code WHERE T1.FL_DATE = '2018/8/20' AND T1.TAIL_NUM = 'N903JB' AND T2.Description LIKE '%JetBlue Airways%' AND T3.Description LIKE '%Fort Lauderdale-Hollywood%'",
"SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'",
"SELECT T1.TAIL_NUM, SUM(CAST(T1.LATE_AIRCRAFT_DELAY AS REAL) / 60) AS delay FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.FL_DATE LIKE '2018/8/%' AND T2.Description = 'Delta Air Lines Inc.: DL' ORDER BY delay DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.FL_DATE = '2018/8/27' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Los Angeles, CA: Los Angeles International'",
"SELECT ORIGIN_AIRPORT_ID FROM Airlines ORDER BY LATE_AIRCRAFT_DELAY DESC LIMIT 1",
"SELECT SUM(CASE WHEN T1.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/31' AND T2.Description = 'Endeavor Air Inc.: 9E'",
"SELECT T2.DEST FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Republic Airline: YX' GROUP BY T2.DEST ORDER BY COUNT(T2.DEST) DESC LIMIT 1",
"SELECT ORIGIN FROM Airlines ORDER BY ACTUAL_ELAPSED_TIME ASC LIMIT 1"
]
} |
{
"query": "What is the tail number of the flight with air carrier named Iscargo Hf: ICQ and arrival time of 1000 and below?",
"pos": [
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ARR_TIME <= 1000 AND T1.Description = 'Iscargo Hf: ICQ'"
],
"neg": [
"SELECT T1.DEP_TIME FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code INNER JOIN Airports AS T3 ON T1.DEST = T3.Code WHERE T1.FL_DATE = '2018/8/20' AND T1.TAIL_NUM = 'N903JB' AND T2.Description LIKE '%JetBlue Airways%' AND T3.Description LIKE '%Fort Lauderdale-Hollywood%'",
"SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1",
"SELECT AVG(T1.DEP_DELAY) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T1.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'",
"SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'",
"SELECT SUM(CASE WHEN T2.ARR_DELAY < 0 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'New York, NY: John F. Kennedy International'",
"SELECT DEST FROM Airlines WHERE ORIGIN = 'ABY' GROUP BY DEST",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1",
"SELECT TAIL_NUM FROM Airlines WHERE FL_DATE = '2018/8/17' GROUP BY TAIL_NUM",
"SELECT Code FROM Airports WHERE Description LIKE '%Ankara, Turkey%'",
"SELECT T2.ACTUAL_ELAPSED_TIME FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Semo Aviation Inc.: SEM'"
]
} |
{
"query": "Among the flights with air carrier described as Asap Air Inc.: ASP, what is the tail number of the flight with the longest departure delay?",
"pos": [
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Asap Air Inc.: ASP' ORDER BY T2.DEP_DELAY DESC LIMIT 1"
],
"neg": [
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Southwest Airlines Co.: WN' AND T2.ACTUAL_ELAPSED_TIME < ( SELECT AVG(ACTUAL_ELAPSED_TIME) * 0.8 FROM Airlines )",
"SELECT T2.OP_CARRIER_FL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA' AND T1.Description = 'New York, NY: John F. Kennedy International' AND T2.FL_DATE = '2018/8/1'",
"SELECT ORIGIN_AIRPORT_ID FROM Airlines ORDER BY LATE_AIRCRAFT_DELAY DESC LIMIT 1",
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE FL_DATE LIKE '2018/8%' AND ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'San Diego, CA: San Diego International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Los Angeles, CA: Los Angeles International' )",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.TAIL_NUM = 'N922US' AND T1.ORIGIN = 'PHX' GROUP BY T2.Description",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ORIGIN = 'CLT' AND T1.DEST = 'AUS' AND T2.Description = 'Charlotte, NC: Charlotte Douglas International' AND T1.CANCELLATION_CODE = 'A'",
"SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1' AND DEP_DELAY <= 0",
"SELECT T1.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/1' ORDER BY T2.DEP_DELAY DESC LIMIT 1",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0"
]
} |
{
"query": "How many flights on average does American Airlines Inc. operate every day in August, 2018?",
"pos": [
"SELECT CAST( SUM(CASE WHEN T2.FL_DATE LIKE '2018/8%' THEN 1 ELSE 0 END) AS REAL) / 31 FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'"
],
"neg": [
"SELECT T2.ACTUAL_ELAPSED_TIME FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Semo Aviation Inc.: SEM'",
"SELECT CAST(SUM(CASE WHEN T2.CANCELLATION_CODE = 'C' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/15' AND T2.CANCELLATION_CODE IS NOT NULL AND T1.Description = 'Los Angeles, CA: Los Angeles International'",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Southwest Airlines Co.: WN' AND T2.ACTUAL_ELAPSED_TIME < ( SELECT AVG(ACTUAL_ELAPSED_TIME) * 0.8 FROM Airlines )",
"SELECT T2.TAIL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Bakersfield, CA: Meadows Field' AND T2.DEST = 'BFL' AND T2.ARR_DELAY <= 0 GROUP BY T2.TAIL_NUM",
"SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE FL_DATE LIKE '2018/8%' AND ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'San Diego, CA: San Diego International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Los Angeles, CA: Los Angeles International' )",
"SELECT T2.FL_DATE FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ACTUAL_ELAPSED_TIME < 100 AND T1.Description = 'Profit Airlines Inc.: XBH'",
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'",
"SELECT T1.DEP_TIME FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code INNER JOIN Airports AS T3 ON T1.DEST = T3.Code WHERE T1.FL_DATE = '2018/8/20' AND T1.TAIL_NUM = 'N903JB' AND T2.Description LIKE '%JetBlue Airways%' AND T3.Description LIKE '%Fort Lauderdale-Hollywood%'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.CANCELLED = 1 GROUP BY T1.Description"
]
} |
{
"query": "List the flight date of flights with air carrier described as Profit Airlines Inc.: XBH which have an actual elapsed time below 100.",
"pos": [
"SELECT T2.FL_DATE FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ACTUAL_ELAPSED_TIME < 100 AND T1.Description = 'Profit Airlines Inc.: XBH'"
],
"neg": [
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ORIGIN = 'CLT' AND T1.DEST = 'AUS' AND T2.Description = 'Charlotte, NC: Charlotte Douglas International' AND T1.CANCELLATION_CODE = 'A'",
"SELECT ORIGIN FROM Airlines ORDER BY ACTUAL_ELAPSED_TIME ASC LIMIT 1",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEP_DELAY = 0 GROUP BY T1.Description",
"SELECT TAIL_NUM FROM Airlines WHERE FL_DATE = '2018/8/17' GROUP BY TAIL_NUM",
"SELECT DEST FROM Airlines WHERE ORIGIN = 'ABY' GROUP BY DEST",
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'",
"SELECT SUM(CASE WHEN T2.ARR_DELAY < 0 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'New York, NY: John F. Kennedy International'",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Southwest Airlines Co.: WN' AND T2.ACTUAL_ELAPSED_TIME < ( SELECT AVG(ACTUAL_ELAPSED_TIME) * 0.8 FROM Airlines )",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'MIA'"
]
} |
{
"query": "How many flights were there from San Diego International airport to Los Angeles International airport in the August of 2018?",
"pos": [
"SELECT COUNT(FL_DATE) FROM Airlines WHERE FL_DATE LIKE '2018/8%' AND ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'San Diego, CA: San Diego International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Los Angeles, CA: Los Angeles International' )"
],
"neg": [
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Republic Airline%' AND T2.DEP_DELAY > 30",
"SELECT Code FROM Airports WHERE Description LIKE '%Ankara, Turkey%'",
"SELECT CAST(SUM(CASE WHEN T2.DEP_DELAY < 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%American Airlines%'",
"SELECT T2.DEST FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Republic Airline: YX' GROUP BY T2.DEST ORDER BY COUNT(T2.DEST) DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'",
"SELECT T1.DEP_TIME FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code INNER JOIN Airports AS T3 ON T1.DEST = T3.Code WHERE T1.FL_DATE = '2018/8/20' AND T1.TAIL_NUM = 'N903JB' AND T2.Description LIKE '%JetBlue Airways%' AND T3.Description LIKE '%Fort Lauderdale-Hollywood%'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.CANCELLED = 1 GROUP BY T1.Description",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Horizon Air%' AND T2.FL_DATE = '2018/8/2'",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Southwest Airlines Co.: WN' AND T2.ACTUAL_ELAPSED_TIME < ( SELECT AVG(ACTUAL_ELAPSED_TIME) * 0.8 FROM Airlines )",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'MIA'"
]
} |
{
"query": "Give the number of planes that took off from Los Angeles International airport on 2018/8/27.",
"pos": [
"SELECT SUM(CASE WHEN T2.FL_DATE = '2018/8/27' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Los Angeles, CA: Los Angeles International'"
],
"neg": [
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%JetBlue Airways: B6%' AND T2.ARR_DELAY_NEW = 0",
"SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.TAIL_NUM = 'N702SK' GROUP BY T2.Description",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Republic Airline%' AND T2.DEP_DELAY > 30",
"SELECT T2.FL_DATE FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ACTUAL_ELAPSED_TIME < 100 AND T1.Description = 'Profit Airlines Inc.: XBH'",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Southwest Airlines Co.: WN' AND T2.ACTUAL_ELAPSED_TIME < ( SELECT AVG(ACTUAL_ELAPSED_TIME) * 0.8 FROM Airlines )",
"SELECT COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'",
"SELECT COUNT(*) AS num FROM Airlines WHERE Origin = 'OKC'",
"SELECT SUM(CASE WHEN T1.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/31' AND T2.Description = 'Endeavor Air Inc.: 9E'",
"SELECT SUM(CASE WHEN T2.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'"
]
} |
{
"query": "Please list the flight numbers of all the flights operated by American Airlines Inc. that were scheduled to depart from John F. Kennedy International.",
"pos": [
"SELECT T2.OP_CARRIER_FL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA' AND T1.Description = 'New York, NY: John F. Kennedy International' AND T2.FL_DATE = '2018/8/1'"
],
"neg": [
"SELECT SUM(CASE WHEN T1.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/31' AND T2.Description = 'Endeavor Air Inc.: 9E'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEP_DELAY = 0 GROUP BY T1.Description",
"SELECT T1.TAIL_NUM, SUM(CAST(T1.LATE_AIRCRAFT_DELAY AS REAL) / 60) AS delay FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.FL_DATE LIKE '2018/8/%' AND T2.Description = 'Delta Air Lines Inc.: DL' ORDER BY delay DESC LIMIT 1",
"SELECT TAIL_NUM FROM Airlines WHERE FL_DATE = '2018/8/17' GROUP BY TAIL_NUM",
"SELECT ORIGIN FROM Airlines ORDER BY ACTUAL_ELAPSED_TIME ASC LIMIT 1",
"SELECT COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'",
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ARR_TIME <= 1000 AND T1.Description = 'Iscargo Hf: ICQ'",
"SELECT T1.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/1' ORDER BY T2.DEP_DELAY DESC LIMIT 1",
"SELECT AVG(T1.DEP_DELAY) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T1.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'"
]
} |
{
"query": "How many hours in total did all of the Delta Air Lines aircraft were delayed due to a late aircraft in August of 2018? Identify the plane number of the aircraft with the highest delayed hours.",
"pos": [
"SELECT T1.TAIL_NUM, SUM(CAST(T1.LATE_AIRCRAFT_DELAY AS REAL) / 60) AS delay FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.FL_DATE LIKE '2018/8/%' AND T2.Description = 'Delta Air Lines Inc.: DL' ORDER BY delay DESC LIMIT 1"
],
"neg": [
"SELECT SUM(CASE WHEN T2.ARR_DELAY < 0 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'New York, NY: John F. Kennedy International'",
"SELECT T2.ACTUAL_ELAPSED_TIME FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Semo Aviation Inc.: SEM'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.FL_DATE = '2018/8/25' GROUP BY T1.Description",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0",
"SELECT T2.TAIL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Bakersfield, CA: Meadows Field' AND T2.DEST = 'BFL' AND T2.ARR_DELAY <= 0 GROUP BY T2.TAIL_NUM",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ORIGIN = 'CLT' AND T1.DEST = 'AUS' AND T2.Description = 'Charlotte, NC: Charlotte Douglas International' AND T1.CANCELLATION_CODE = 'A'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEP_DELAY = 0 GROUP BY T1.Description",
"SELECT T2.OP_CARRIER_FL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA' AND T1.Description = 'New York, NY: John F. Kennedy International' AND T2.FL_DATE = '2018/8/1'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.CANCELLED = 1 GROUP BY T1.Description",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ARR_TIME <= 1000 AND T1.Description = 'Iscargo Hf: ICQ'"
]
} |
{
"query": "Among the flights with air carrier \"Southwest Airlines Co.: WN\", provide the tail number of flights with an actual elapsed time lower than the 80% of the average actual elapsed time of listed flights.",
"pos": [
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Southwest Airlines Co.: WN' AND T2.ACTUAL_ELAPSED_TIME < ( SELECT AVG(ACTUAL_ELAPSED_TIME) * 0.8 FROM Airlines )"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN T2.CANCELLATION_CODE = 'C' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/15' AND T2.CANCELLATION_CODE IS NOT NULL AND T1.Description = 'Los Angeles, CA: Los Angeles International'",
"SELECT T1.OP_CARRIER_AIRLINE_ID FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ACTUAL_ELAPSED_TIME IS NOT NULL AND T1.CRS_ELAPSED_TIME IS NOT NULL ORDER BY T1.ACTUAL_ELAPSED_TIME - T1.CRS_ELAPSED_TIME ASC LIMIT 1",
"SELECT T2.DEST FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Republic Airline: YX' GROUP BY T2.DEST ORDER BY COUNT(T2.DEST) DESC LIMIT 1",
"SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'",
"SELECT SUM(CASE WHEN T1.Description LIKE '%Oakland%' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/7'",
"SELECT T3.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T1.Description = 'Chicago, IL: Chicago Midway International' AND T2.DEST = 'MDW' GROUP BY T3.Description ORDER BY COUNT(T3.Description) DESC LIMIT 1",
"SELECT CASE WHEN COUNT(CASE WHEN T3.Description = 'American Airlines Inc.: AA' THEN 1 ELSE NULL END) > COUNT(CASE WHEN T3.Description = 'Endeavor Air Inc.: 9E' THEN 1 ELSE NULL END) THEN 'American Airlines Inc.: AA' ELSE 'Endeavor Air Inc.: 9E' END AS RESULT FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1'",
"SELECT SUM(CASE WHEN T1.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/31' AND T2.Description = 'Endeavor Air Inc.: 9E'",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ORIGIN = 'CLT' AND T1.DEST = 'AUS' AND T2.Description = 'Charlotte, NC: Charlotte Douglas International' AND T1.CANCELLATION_CODE = 'A'",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Republic Airline%' AND T2.DEP_DELAY > 30"
]
} |
{
"query": "What is the air carrier's description of the cancelled flights?",
"pos": [
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.CANCELLED = 1 GROUP BY T1.Description"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN T2.DEP_DELAY < 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%American Airlines%'",
"SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1' AND DEP_DELAY <= 0",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE FL_DATE LIKE '2018/8%' AND ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'San Diego, CA: San Diego International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Los Angeles, CA: Los Angeles International' )",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Asap Air Inc.: ASP' ORDER BY T2.DEP_DELAY DESC LIMIT 1",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0",
"SELECT SUM(CASE WHEN T2.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'",
"SELECT T2.ACTUAL_ELAPSED_TIME FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Semo Aviation Inc.: SEM'",
"SELECT SUM(CASE WHEN T2.ARR_DELAY < 0 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'New York, NY: John F. Kennedy International'",
"SELECT ORIGIN_AIRPORT_ID FROM Airlines ORDER BY LATE_AIRCRAFT_DELAY DESC LIMIT 1"
]
} |
{
"query": "What is the total number of flights that have Oklahoma as their origin?",
"pos": [
"SELECT COUNT(*) AS num FROM Airlines WHERE Origin = 'OKC'"
],
"neg": [
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'MIA'",
"SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'PHX' AND T2.ARR_TIME < ( SELECT AVG(ARR_TIME) * 0.4 FROM Airlines ) GROUP BY T1.Description",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0",
"SELECT Code FROM Airports WHERE Description LIKE '%Ankara, Turkey%'",
"SELECT T2.TAIL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Bakersfield, CA: Meadows Field' AND T2.DEST = 'BFL' AND T2.ARR_DELAY <= 0 GROUP BY T2.TAIL_NUM",
"SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ARR_TIME <= 1000 AND T1.Description = 'Iscargo Hf: ICQ'",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE FL_DATE LIKE '2018/8%' AND ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'San Diego, CA: San Diego International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Los Angeles, CA: Los Angeles International' )",
"SELECT CASE WHEN COUNT(CASE WHEN T3.Description = 'American Airlines Inc.: AA' THEN 1 ELSE NULL END) > COUNT(CASE WHEN T3.Description = 'Endeavor Air Inc.: 9E' THEN 1 ELSE NULL END) THEN 'American Airlines Inc.: AA' ELSE 'Endeavor Air Inc.: 9E' END AS RESULT FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1'"
]
} |
{
"query": "How many flights on 2018/8/1 were operated by American Airlines Inc.?",
"pos": [
"SELECT COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'"
],
"neg": [
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ORIGIN = 'CLT' AND T1.DEST = 'AUS' AND T2.Description = 'Charlotte, NC: Charlotte Douglas International' AND T1.CANCELLATION_CODE = 'A'",
"SELECT T2.FL_DATE FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Dallas/Fort Worth, TX: Dallas/Fort Worth International' AND T2.ORIGIN = 'DFW' AND T2.CANCELLED = 1 AND T2.CANCELLATION_CODE = 'A' GROUP BY T2.FL_DATE ORDER BY COUNT(T2.FL_DATE) DESC LIMIT 1",
"SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1",
"SELECT CAST( SUM(CASE WHEN T2.FL_DATE LIKE '2018/8%' THEN 1 ELSE 0 END) AS REAL) / 31 FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'",
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'",
"SELECT ORIGIN FROM Airlines ORDER BY ACTUAL_ELAPSED_TIME ASC LIMIT 1",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Republic Airline%' AND T2.DEP_DELAY > 30",
"SELECT T2.FL_DATE FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ACTUAL_ELAPSED_TIME < 100 AND T1.Description = 'Profit Airlines Inc.: XBH'",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1"
]
} |
{
"query": "How many flights departed on time on 8/1/2018?",
"pos": [
"SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1' AND DEP_DELAY <= 0"
],
"neg": [
"SELECT TAIL_NUM FROM Airlines WHERE FL_DATE = '2018/8/17' GROUP BY TAIL_NUM",
"SELECT SUM(CASE WHEN T1.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/31' AND T2.Description = 'Endeavor Air Inc.: 9E'",
"SELECT T1.DEP_TIME FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code INNER JOIN Airports AS T3 ON T1.DEST = T3.Code WHERE T1.FL_DATE = '2018/8/20' AND T1.TAIL_NUM = 'N903JB' AND T2.Description LIKE '%JetBlue Airways%' AND T3.Description LIKE '%Fort Lauderdale-Hollywood%'",
"SELECT T3.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T1.Description = 'Chicago, IL: Chicago Midway International' AND T2.DEST = 'MDW' GROUP BY T3.Description ORDER BY COUNT(T3.Description) DESC LIMIT 1",
"SELECT T1.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/1' ORDER BY T2.DEP_DELAY DESC LIMIT 1",
"SELECT COUNT(T3.TAIL_NUM) FROM ( SELECT T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Southwest Airlines Co.: WN' GROUP BY T1.TAIL_NUM ) T3",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Republic Airline%' AND T2.DEP_DELAY > 30",
"SELECT COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'",
"SELECT COUNT(T2.Code) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/7' AND T2.Description = 'Spirit Air Lines: NK'",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0"
]
} |
{
"query": "Give the actual elapsed time of the flights with air carrier named Semo Aviation Inc.: SEM.",
"pos": [
"SELECT T2.ACTUAL_ELAPSED_TIME FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Semo Aviation Inc.: SEM'"
],
"neg": [
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1",
"SELECT COUNT(T3.TAIL_NUM) FROM ( SELECT T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Southwest Airlines Co.: WN' GROUP BY T1.TAIL_NUM ) T3",
"SELECT T3.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T1.Description = 'Chicago, IL: Chicago Midway International' AND T2.DEST = 'MDW' GROUP BY T3.Description ORDER BY COUNT(T3.Description) DESC LIMIT 1",
"SELECT T1.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/1' ORDER BY T2.DEP_DELAY DESC LIMIT 1",
"SELECT ORIGIN FROM Airlines ORDER BY ACTUAL_ELAPSED_TIME ASC LIMIT 1",
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'MIA'",
"SELECT T2.DEST FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Republic Airline: YX' GROUP BY T2.DEST ORDER BY COUNT(T2.DEST) DESC LIMIT 1",
"SELECT AVG(T1.DEP_DELAY) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T1.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'"
]
} |
{
"query": "What are the air carriers of the flights that flew on August 25, 2018 that have departure delay of -5?",
"pos": [
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.FL_DATE = '2018/8/25' GROUP BY T1.Description"
],
"neg": [
"SELECT T2.OP_CARRIER_FL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA' AND T1.Description = 'New York, NY: John F. Kennedy International' AND T2.FL_DATE = '2018/8/1'",
"SELECT SUM(CASE WHEN T1.Description LIKE '%Oakland%' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/7'",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.TAIL_NUM = 'N702SK' GROUP BY T2.Description",
"SELECT DEST FROM Airlines WHERE ORIGIN = 'ABY' GROUP BY DEST",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEP_DELAY = 0 GROUP BY T1.Description",
"SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1",
"SELECT T3.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T1.Description = 'Chicago, IL: Chicago Midway International' AND T2.DEST = 'MDW' GROUP BY T3.Description ORDER BY COUNT(T3.Description) DESC LIMIT 1",
"SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Chicago, IL: Chicago O''Hare International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Atlanta, GA: Hartsfield-Jackson Atlanta International' )"
]
} |
{
"query": "What is the name of the airline that flew the most flights to Chicago Midway International?",
"pos": [
"SELECT T3.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T1.Description = 'Chicago, IL: Chicago Midway International' AND T2.DEST = 'MDW' GROUP BY T3.Description ORDER BY COUNT(T3.Description) DESC LIMIT 1"
],
"neg": [
"SELECT COUNT(*) FROM Airports WHERE Code LIKE 'C%'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEP_DELAY = 0 GROUP BY T1.Description",
"SELECT ORIGIN_AIRPORT_ID FROM Airlines ORDER BY LATE_AIRCRAFT_DELAY DESC LIMIT 1",
"SELECT Code FROM Airports WHERE Description LIKE '%Ankara, Turkey%'",
"SELECT COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ORIGIN = 'CLT' AND T1.DEST = 'AUS' AND T2.Description = 'Charlotte, NC: Charlotte Douglas International' AND T1.CANCELLATION_CODE = 'A'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.CANCELLED = 1 GROUP BY T1.Description",
"SELECT CAST( SUM(CASE WHEN T2.FL_DATE LIKE '2018/8%' THEN 1 ELSE 0 END) AS REAL) / 31 FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'PHX' AND T2.ARR_TIME < ( SELECT AVG(ARR_TIME) * 0.4 FROM Airlines ) GROUP BY T1.Description",
"SELECT CAST(SUM(CASE WHEN T2.CANCELLATION_CODE = 'C' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/15' AND T2.CANCELLATION_CODE IS NOT NULL AND T1.Description = 'Los Angeles, CA: Los Angeles International'"
]
} |
{
"query": "List the air carrier's description with arrival time lower than the 40% of the average arrival time of flights that flew to Phoenix.",
"pos": [
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'PHX' AND T2.ARR_TIME < ( SELECT AVG(ARR_TIME) * 0.4 FROM Airlines ) GROUP BY T1.Description"
],
"neg": [
"SELECT COUNT(*) AS num FROM Airlines WHERE Origin = 'OKC'",
"SELECT AVG(T1.DEP_DELAY) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T1.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'",
"SELECT TAIL_NUM FROM Airlines WHERE FL_DATE = '2018/8/17' GROUP BY TAIL_NUM",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Asap Air Inc.: ASP' ORDER BY T2.DEP_DELAY DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.ARR_DELAY < 0 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'New York, NY: John F. Kennedy International'",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE FL_DATE LIKE '2018/8%' AND ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'San Diego, CA: San Diego International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Los Angeles, CA: Los Angeles International' )",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Horizon Air%' AND T2.FL_DATE = '2018/8/2'",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%JetBlue Airways: B6%' AND T2.ARR_DELAY_NEW = 0",
"SELECT SUM(CASE WHEN T2.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'",
"SELECT T2.TAIL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Bakersfield, CA: Meadows Field' AND T2.DEST = 'BFL' AND T2.ARR_DELAY <= 0 GROUP BY T2.TAIL_NUM"
]
} |
{
"query": "How many flights depart to Hartsfield-Jackson Atlanta International from Chicago O'Hare International?",
"pos": [
"SELECT COUNT(FL_DATE) FROM Airlines WHERE ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Chicago, IL: Chicago O''Hare International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Atlanta, GA: Hartsfield-Jackson Atlanta International' )"
],
"neg": [
"SELECT T2.FL_DATE FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Dallas/Fort Worth, TX: Dallas/Fort Worth International' AND T2.ORIGIN = 'DFW' AND T2.CANCELLED = 1 AND T2.CANCELLATION_CODE = 'A' GROUP BY T2.FL_DATE ORDER BY COUNT(T2.FL_DATE) DESC LIMIT 1",
"SELECT Code FROM Airports WHERE Description LIKE '%Ankara, Turkey%'",
"SELECT T2.ACTUAL_ELAPSED_TIME FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Semo Aviation Inc.: SEM'",
"SELECT CAST(SUM(CASE WHEN T2.DEP_DELAY < 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%American Airlines%'",
"SELECT CAST(SUM(CASE WHEN T2.CANCELLATION_CODE = 'C' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/15' AND T2.CANCELLATION_CODE IS NOT NULL AND T1.Description = 'Los Angeles, CA: Los Angeles International'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.CANCELLED = 1 GROUP BY T1.Description",
"SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1",
"SELECT COUNT(*) FROM Airports WHERE Code LIKE 'C%'",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1",
"SELECT SUM(CASE WHEN T1.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/31' AND T2.Description = 'Endeavor Air Inc.: 9E'"
]
} |
{
"query": "List the tail number of flights that flew on August 17, 2018.",
"pos": [
"SELECT TAIL_NUM FROM Airlines WHERE FL_DATE = '2018/8/17' GROUP BY TAIL_NUM"
],
"neg": [
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.TAIL_NUM = 'N702SK' GROUP BY T2.Description",
"SELECT DEST FROM Airlines WHERE ORIGIN = 'ABY' GROUP BY DEST",
"SELECT COUNT(*) AS num FROM Airlines WHERE Origin = 'OKC'",
"SELECT SUM(CASE WHEN T1.Description LIKE '%Oakland%' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/7'",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1",
"SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'",
"SELECT SUM(CASE WHEN T2.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'",
"SELECT Code FROM Airports WHERE Description LIKE '%Ankara, Turkey%'",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Chicago, IL: Chicago O''Hare International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Atlanta, GA: Hartsfield-Jackson Atlanta International' )",
"SELECT ORIGIN_AIRPORT_ID FROM Airlines ORDER BY LATE_AIRCRAFT_DELAY DESC LIMIT 1"
]
} |
{
"query": "How many planes does Southwest Airlines Co. have?",
"pos": [
"SELECT COUNT(T3.TAIL_NUM) FROM ( SELECT T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Southwest Airlines Co.: WN' GROUP BY T1.TAIL_NUM ) T3"
],
"neg": [
"SELECT SUM(CASE WHEN T2.FL_DATE = '2018/8/27' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Los Angeles, CA: Los Angeles International'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.FL_DATE = '2018/8/25' GROUP BY T1.Description",
"SELECT SUM(CASE WHEN T1.Description LIKE '%Oakland%' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/7'",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0",
"SELECT T2.TAIL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Bakersfield, CA: Meadows Field' AND T2.DEST = 'BFL' AND T2.ARR_DELAY <= 0 GROUP BY T2.TAIL_NUM",
"SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1' AND DEP_DELAY <= 0",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Asap Air Inc.: ASP' ORDER BY T2.DEP_DELAY DESC LIMIT 1",
"SELECT T2.DEST FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Republic Airline: YX' GROUP BY T2.DEST ORDER BY COUNT(T2.DEST) DESC LIMIT 1",
"SELECT T2.FL_DATE FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Dallas/Fort Worth, TX: Dallas/Fort Worth International' AND T2.ORIGIN = 'DFW' AND T2.CANCELLED = 1 AND T2.CANCELLATION_CODE = 'A' GROUP BY T2.FL_DATE ORDER BY COUNT(T2.FL_DATE) DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T2.DEP_DELAY < 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%American Airlines%'"
]
} |
{
"query": "What are the codes of the airport found in Ankara, Turkey?",
"pos": [
"SELECT Code FROM Airports WHERE Description LIKE '%Ankara, Turkey%'"
],
"neg": [
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'MIA'",
"SELECT ORIGIN_AIRPORT_ID FROM Airlines ORDER BY LATE_AIRCRAFT_DELAY DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T2.DEP_DELAY < 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%American Airlines%'",
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'",
"SELECT T2.TAIL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Bakersfield, CA: Meadows Field' AND T2.DEST = 'BFL' AND T2.ARR_DELAY <= 0 GROUP BY T2.TAIL_NUM",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'PHX' AND T2.ARR_TIME < ( SELECT AVG(ARR_TIME) * 0.4 FROM Airlines ) GROUP BY T1.Description",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0",
"SELECT COUNT(*) FROM Airports WHERE Code LIKE 'C%'",
"SELECT CAST(SUM(CASE WHEN T2.CANCELLATION_CODE = 'C' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/15' AND T2.CANCELLATION_CODE IS NOT NULL AND T1.Description = 'Los Angeles, CA: Los Angeles International'"
]
} |
{
"query": "Provide the air carrier description of the flight with a tail number N922US from Phoenix.",
"pos": [
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.TAIL_NUM = 'N922US' AND T1.ORIGIN = 'PHX' GROUP BY T2.Description"
],
"neg": [
"SELECT CASE WHEN COUNT(CASE WHEN T3.Description = 'American Airlines Inc.: AA' THEN 1 ELSE NULL END) > COUNT(CASE WHEN T3.Description = 'Endeavor Air Inc.: 9E' THEN 1 ELSE NULL END) THEN 'American Airlines Inc.: AA' ELSE 'Endeavor Air Inc.: 9E' END AS RESULT FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1'",
"SELECT DEST FROM Airlines WHERE ORIGIN = 'ABY' GROUP BY DEST",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.TAIL_NUM = 'N702SK' GROUP BY T2.Description",
"SELECT TAIL_NUM FROM Airlines WHERE FL_DATE = '2018/8/17' GROUP BY TAIL_NUM",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ARR_TIME <= 1000 AND T1.Description = 'Iscargo Hf: ICQ'",
"SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1' AND DEP_DELAY <= 0",
"SELECT T1.TAIL_NUM, SUM(CAST(T1.LATE_AIRCRAFT_DELAY AS REAL) / 60) AS delay FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.FL_DATE LIKE '2018/8/%' AND T2.Description = 'Delta Air Lines Inc.: DL' ORDER BY delay DESC LIMIT 1",
"SELECT T3.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T1.Description = 'Chicago, IL: Chicago Midway International' AND T2.DEST = 'MDW' GROUP BY T3.Description ORDER BY COUNT(T3.Description) DESC LIMIT 1",
"SELECT COUNT(T2.Code) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/7' AND T2.Description = 'Spirit Air Lines: NK'",
"SELECT T1.OP_CARRIER_AIRLINE_ID FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ACTUAL_ELAPSED_TIME IS NOT NULL AND T1.CRS_ELAPSED_TIME IS NOT NULL ORDER BY T1.ACTUAL_ELAPSED_TIME - T1.CRS_ELAPSED_TIME ASC LIMIT 1"
]
} |
{
"query": "Provide the date and tail number of flight with air carrier \"Ross Aviation Inc.: GWE\".",
"pos": [
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'"
],
"neg": [
"SELECT COUNT(*) FROM Airports WHERE Code LIKE 'C%'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'MIA'",
"SELECT CASE WHEN COUNT(CASE WHEN T3.Description = 'American Airlines Inc.: AA' THEN 1 ELSE NULL END) > COUNT(CASE WHEN T3.Description = 'Endeavor Air Inc.: 9E' THEN 1 ELSE NULL END) THEN 'American Airlines Inc.: AA' ELSE 'Endeavor Air Inc.: 9E' END AS RESULT FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1'",
"SELECT CAST(SUM(CASE WHEN T2.DEP_DELAY < 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%American Airlines%'",
"SELECT COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'",
"SELECT AVG(T1.DEP_DELAY) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T1.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Chicago, IL: Chicago O''Hare International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Atlanta, GA: Hartsfield-Jackson Atlanta International' )",
"SELECT SUM(CASE WHEN T1.Description LIKE '%Oakland%' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/7'",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.TAIL_NUM = 'N922US' AND T1.ORIGIN = 'PHX' GROUP BY T2.Description",
"SELECT T2.ACTUAL_ELAPSED_TIME FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Semo Aviation Inc.: SEM'"
]
} |
{
"query": "What is the origin airport id that recorded the longest delay due to a late aircraft?",
"pos": [
"SELECT ORIGIN_AIRPORT_ID FROM Airlines ORDER BY LATE_AIRCRAFT_DELAY DESC LIMIT 1"
],
"neg": [
"SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Horizon Air%' AND T2.FL_DATE = '2018/8/2'",
"SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.FL_DATE = '2018/8/25' GROUP BY T1.Description",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'MIA'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEP_DELAY = 0 GROUP BY T1.Description",
"SELECT T1.DEP_TIME FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code INNER JOIN Airports AS T3 ON T1.DEST = T3.Code WHERE T1.FL_DATE = '2018/8/20' AND T1.TAIL_NUM = 'N903JB' AND T2.Description LIKE '%JetBlue Airways%' AND T3.Description LIKE '%Fort Lauderdale-Hollywood%'",
"SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1' AND DEP_DELAY <= 0",
"SELECT T1.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/1' ORDER BY T2.DEP_DELAY DESC LIMIT 1",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Asap Air Inc.: ASP' ORDER BY T2.DEP_DELAY DESC LIMIT 1"
]
} |
{
"query": "Provide the air carrier description of all flights arriving at Miami.",
"pos": [
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'MIA'"
],
"neg": [
"SELECT SUM(CASE WHEN T1.Description LIKE '%Oakland%' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/7'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.CANCELLED = 1 GROUP BY T1.Description",
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE FL_DATE LIKE '2018/8%' AND ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'San Diego, CA: San Diego International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Los Angeles, CA: Los Angeles International' )",
"SELECT T1.TAIL_NUM, SUM(CAST(T1.LATE_AIRCRAFT_DELAY AS REAL) / 60) AS delay FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.FL_DATE LIKE '2018/8/%' AND T2.Description = 'Delta Air Lines Inc.: DL' ORDER BY delay DESC LIMIT 1",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.TAIL_NUM = 'N922US' AND T1.ORIGIN = 'PHX' GROUP BY T2.Description",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ORIGIN = 'CLT' AND T1.DEST = 'AUS' AND T2.Description = 'Charlotte, NC: Charlotte Douglas International' AND T1.CANCELLATION_CODE = 'A'",
"SELECT SUM(CASE WHEN T2.ARR_DELAY < 0 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'New York, NY: John F. Kennedy International'",
"SELECT COUNT(*) FROM Airports WHERE Code LIKE 'C%'",
"SELECT DEST FROM Airlines WHERE ORIGIN = 'ABY' GROUP BY DEST"
]
} |
{
"query": "Among the flights of the air carrier described as American Airlines, what is the percentage of the flights with earlier departure?",
"pos": [
"SELECT CAST(SUM(CASE WHEN T2.DEP_DELAY < 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%American Airlines%'"
],
"neg": [
"SELECT DEST FROM Airlines WHERE ORIGIN = 'ABY' GROUP BY DEST",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ARR_TIME <= 1000 AND T1.Description = 'Iscargo Hf: ICQ'",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Chicago, IL: Chicago O''Hare International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Atlanta, GA: Hartsfield-Jackson Atlanta International' )",
"SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Southwest Airlines Co.: WN' AND T2.ACTUAL_ELAPSED_TIME < ( SELECT AVG(ACTUAL_ELAPSED_TIME) * 0.8 FROM Airlines )",
"SELECT COUNT(T3.TAIL_NUM) FROM ( SELECT T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Southwest Airlines Co.: WN' GROUP BY T1.TAIL_NUM ) T3",
"SELECT CAST(SUM(CASE WHEN T2.CANCELLATION_CODE = 'C' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/15' AND T2.CANCELLATION_CODE IS NOT NULL AND T1.Description = 'Los Angeles, CA: Los Angeles International'",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Republic Airline%' AND T2.DEP_DELAY > 30",
"SELECT SUM(CASE WHEN T1.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/31' AND T2.Description = 'Endeavor Air Inc.: 9E'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'PHX' AND T2.ARR_TIME < ( SELECT AVG(ARR_TIME) * 0.4 FROM Airlines ) GROUP BY T1.Description",
"SELECT CASE WHEN COUNT(CASE WHEN T3.Description = 'American Airlines Inc.: AA' THEN 1 ELSE NULL END) > COUNT(CASE WHEN T3.Description = 'Endeavor Air Inc.: 9E' THEN 1 ELSE NULL END) THEN 'American Airlines Inc.: AA' ELSE 'Endeavor Air Inc.: 9E' END AS RESULT FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1'"
]
} |
{
"query": "Which airline does the aircraft with the fastest flight belong to?",
"pos": [
"SELECT T1.OP_CARRIER_AIRLINE_ID FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ACTUAL_ELAPSED_TIME IS NOT NULL AND T1.CRS_ELAPSED_TIME IS NOT NULL ORDER BY T1.ACTUAL_ELAPSED_TIME - T1.CRS_ELAPSED_TIME ASC LIMIT 1"
],
"neg": [
"SELECT COUNT(T2.Code) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/7' AND T2.Description = 'Spirit Air Lines: NK'",
"SELECT T2.ACTUAL_ELAPSED_TIME FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Semo Aviation Inc.: SEM'",
"SELECT COUNT(FL_DATE) FROM Airlines WHERE FL_DATE LIKE '2018/8%' AND ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'San Diego, CA: San Diego International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Los Angeles, CA: Los Angeles International' )",
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'",
"SELECT ORIGIN FROM Airlines ORDER BY ACTUAL_ELAPSED_TIME ASC LIMIT 1",
"SELECT SUM(CASE WHEN T2.FL_DATE = '2018/8/27' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Los Angeles, CA: Los Angeles International'",
"SELECT CAST(SUM(CASE WHEN T2.CANCELLATION_CODE = 'C' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/15' AND T2.CANCELLATION_CODE IS NOT NULL AND T1.Description = 'Los Angeles, CA: Los Angeles International'",
"SELECT SUM(CASE WHEN T1.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/31' AND T2.Description = 'Endeavor Air Inc.: 9E'",
"SELECT CAST( SUM(CASE WHEN T2.FL_DATE LIKE '2018/8%' THEN 1 ELSE 0 END) AS REAL) / 31 FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'",
"SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%JetBlue Airways: B6%' AND T2.ARR_DELAY_NEW = 0"
]
} |
{
"query": "How many airports have a code starting with the letter C?",
"pos": [
"SELECT COUNT(*) FROM Airports WHERE Code LIKE 'C%'"
],
"neg": [
"SELECT T1.DEP_TIME FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code INNER JOIN Airports AS T3 ON T1.DEST = T3.Code WHERE T1.FL_DATE = '2018/8/20' AND T1.TAIL_NUM = 'N903JB' AND T2.Description LIKE '%JetBlue Airways%' AND T3.Description LIKE '%Fort Lauderdale-Hollywood%'",
"SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1' AND DEP_DELAY <= 0",
"SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1",
"SELECT COUNT(T2.Code) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/7' AND T2.Description = 'Spirit Air Lines: NK'",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEP_DELAY = 0 GROUP BY T1.Description",
"SELECT AVG(T1.DEP_DELAY) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T1.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1",
"SELECT TAIL_NUM FROM Airlines WHERE FL_DATE = '2018/8/17' GROUP BY TAIL_NUM",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'PHX' AND T2.ARR_TIME < ( SELECT AVG(ARR_TIME) * 0.4 FROM Airlines ) GROUP BY T1.Description",
"SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'"
]
} |
{
"query": "How many flights of Alaska Airlines were delayed on 2018/8/2?",
"pos": [
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0"
],
"neg": [
"SELECT DEST FROM Airlines WHERE ORIGIN = 'ABY' GROUP BY DEST",
"SELECT ORIGIN FROM Airlines ORDER BY ACTUAL_ELAPSED_TIME ASC LIMIT 1",
"SELECT T2.TAIL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Bakersfield, CA: Meadows Field' AND T2.DEST = 'BFL' AND T2.ARR_DELAY <= 0 GROUP BY T2.TAIL_NUM",
"SELECT COUNT(*) FROM Airports WHERE Code LIKE 'C%'",
"SELECT AVG(T1.DEP_DELAY) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T1.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'",
"SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'",
"SELECT SUM(CASE WHEN T2.ARR_DELAY < 0 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'New York, NY: John F. Kennedy International'",
"SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ORIGIN = 'CLT' AND T1.DEST = 'AUS' AND T2.Description = 'Charlotte, NC: Charlotte Douglas International' AND T1.CANCELLATION_CODE = 'A'",
"SELECT SUM(CASE WHEN T2.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'"
]
} |
{
"query": "Give the code of the airport described as Driftwood Bay, AK: Driftwood Bay Airport.",
"pos": [
"SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'"
],
"neg": [
"SELECT SUM(CASE WHEN T2.ARR_DELAY < 0 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'New York, NY: John F. Kennedy International'",
"SELECT CASE WHEN COUNT(CASE WHEN T3.Description = 'American Airlines Inc.: AA' THEN 1 ELSE NULL END) > COUNT(CASE WHEN T3.Description = 'Endeavor Air Inc.: 9E' THEN 1 ELSE NULL END) THEN 'American Airlines Inc.: AA' ELSE 'Endeavor Air Inc.: 9E' END AS RESULT FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1'",
"SELECT SUM(CASE WHEN T2.FL_DATE = '2018/8/27' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Los Angeles, CA: Los Angeles International'",
"SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0",
"SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.TAIL_NUM = 'N922US' AND T1.ORIGIN = 'PHX' GROUP BY T2.Description",
"SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'PHX' AND T2.ARR_TIME < ( SELECT AVG(ARR_TIME) * 0.4 FROM Airlines ) GROUP BY T1.Description",
"SELECT CAST(SUM(CASE WHEN T2.CANCELLATION_CODE = 'C' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/15' AND T2.CANCELLATION_CODE IS NOT NULL AND T1.Description = 'Los Angeles, CA: Los Angeles International'",
"SELECT SUM(CASE WHEN T1.Description LIKE '%Oakland%' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/7'",
"SELECT CAST( SUM(CASE WHEN T2.FL_DATE LIKE '2018/8%' THEN 1 ELSE 0 END) AS REAL) / 31 FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'",
"SELECT T1.TAIL_NUM, SUM(CAST(T1.LATE_AIRCRAFT_DELAY AS REAL) / 60) AS delay FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.FL_DATE LIKE '2018/8/%' AND T2.Description = 'Delta Air Lines Inc.: DL' ORDER BY delay DESC LIMIT 1"
]
} |
{
"query": "What is the rating and the total Sentiment subjectivity score of \"Onefootball - Soccer Scores\"?",
"pos": [
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'"
],
"neg": [
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'",
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5"
]
} |
{
"query": "What is the average download for entertainment apps with size no more than 1.0 M?",
"pos": [
"SELECT AVG(CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER)) FROM playstore WHERE Category = 'ENTERTAINMENT' AND Size < '1.0M'"
],
"neg": [
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.\"Content Rating\" = 'Teen' AND T1.Genres = 'Role Playing'",
"SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'",
"SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT Genres FROM playstore WHERE Installs = '1,000,000,000+' GROUP BY Genres",
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'"
]
} |
{
"query": "List down application that have not been updated since 2015. What is the percentage of this application having more negative sentiment than positive sentiment?",
"pos": [
"SELECT CAST((( SELECT COUNT(*) Po FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Positive' ) - ( SELECT COUNT(*) Ne FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Negative' )) AS REAL) * 100 / ( SELECT COUNT(*) NUM FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' )"
],
"neg": [
"SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.\"Content Rating\" = 'Teen' AND T1.Genres = 'Role Playing'",
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'",
"SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3",
"SELECT COUNT(App) FROM playstore WHERE Rating = 5",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'",
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7"
]
} |
{
"query": "Which apps have been reviewed more than 75 000 000 times and the content is suitable for teenagers?",
"pos": [
"SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'"
],
"neg": [
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0",
"SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1",
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'",
"SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.\"Content Rating\" = 'Teen' AND T1.Genres = 'Role Playing'"
]
} |
{
"query": "What percentage of no comment reviews are from \"Teen\" content rating apps?",
"pos": [
"SELECT CAST(COUNT(CASE WHEN T1.`Content Rating` = 'Teen' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review = 'nan'"
],
"neg": [
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'",
"SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Dino War: Rise of Beasts' AND Sentiment = 'Neutral'",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'",
"SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'",
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5"
]
} |
{
"query": "How many apps were last updated in January of 2018? Please write one translated review with positive sentiment for each app, if there's any.",
"pos": [
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'"
],
"neg": [
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5",
"SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1",
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Dino War: Rise of Beasts' AND Sentiment = 'Neutral'"
]
} |
{
"query": "Which of the app is the best selling app and what is the sentiments polarity of it?",
"pos": [
"SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1"
],
"neg": [
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT Genres FROM playstore WHERE Installs = '1,000,000,000+' GROUP BY Genres",
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5"
]
} |
{
"query": "What is the average rating of comic category apps? How many users hold positive attitude towards this app?",
"pos": [
"SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'"
],
"neg": [
"SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'",
"SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'",
"SELECT CAST(COUNT(CASE WHEN T1.`Content Rating` = 'Teen' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review = 'nan'",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3",
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9"
]
} |
{
"query": "What is the average review number for application with 5 rating?",
"pos": [
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5"
],
"neg": [
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3",
"SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'",
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'",
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'",
"SELECT CAST((( SELECT COUNT(*) Po FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Positive' ) - ( SELECT COUNT(*) Ne FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Negative' )) AS REAL) * 100 / ( SELECT COUNT(*) NUM FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' )",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'",
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'",
"SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'"
]
} |
{
"query": "Name the top 10 most reviewed apps.",
"pos": [
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10"
],
"neg": [
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT COUNT(App) FROM playstore WHERE Rating = 5",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1",
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'",
"SELECT CAST((( SELECT COUNT(*) Po FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Positive' ) - ( SELECT COUNT(*) Ne FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Negative' )) AS REAL) * 100 / ( SELECT COUNT(*) NUM FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' )",
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'"
]
} |
{
"query": "What is the percentage of application with 4.7 rating having more positives sentiment than negative sentiment?",
"pos": [
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7"
],
"neg": [
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT DISTINCT Sentiment FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Android Ver` = '8.0 and up' )",
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1"
]
} |
{
"query": "Which 1,000,000,000+ intalls apps has the most no comment reviews?",
"pos": [
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1"
],
"neg": [
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0",
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'",
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT DISTINCT Sentiment FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Android Ver` = '8.0 and up' )",
"SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'",
"SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5"
]
} |
{
"query": "What is the average price of games belonging in the arcade genre which has a content rating of Everyone 10+?",
"pos": [
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'"
],
"neg": [
"SELECT CAST(COUNT(CASE WHEN T1.`Content Rating` = 'Teen' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review = 'nan'",
"SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT Genres FROM playstore WHERE Installs = '1,000,000,000+' GROUP BY Genres",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1",
"SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'"
]
} |
{
"query": "Which Photography app has the highest total Sentiment subjectivity score?",
"pos": [
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1"
],
"neg": [
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT Genres FROM playstore WHERE Installs = '1,000,000,000+' GROUP BY Genres",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1"
]
} |
{
"query": "How much is the average sentiment polarity score of Golf GPS Rangefinder: Golf Pad and what is it's rating in the Google Play Store?",
"pos": [
"SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'"
],
"neg": [
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL",
"SELECT DISTINCT Sentiment FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Android Ver` = '8.0 and up' )",
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5",
"SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'"
]
} |
{
"query": "Indicate the number of installs and include the percentage of positive sentiments of FREEDOME VPN Unlimited anonymous Wifi Security.",
"pos": [
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'"
],
"neg": [
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'",
"SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.\"Content Rating\" = 'Teen' AND T1.Genres = 'Role Playing'",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT CAST(COUNT(CASE WHEN T1.`Content Rating` = 'Teen' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review = 'nan'",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1",
"SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'",
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'",
"SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10"
]
} |
{
"query": "How many apps have rating of 5?",
"pos": [
"SELECT COUNT(App) FROM playstore WHERE Rating = 5"
],
"neg": [
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'",
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7",
"SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'",
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT CAST((( SELECT COUNT(*) Po FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Positive' ) - ( SELECT COUNT(*) Ne FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Negative' )) AS REAL) * 100 / ( SELECT COUNT(*) NUM FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' )",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Dino War: Rise of Beasts' AND Sentiment = 'Neutral'",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'"
]
} |
{
"query": "What is the rating of Dragon Ball Legends and how many users dislike this App?",
"pos": [
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5"
],
"neg": [
"SELECT CAST((( SELECT COUNT(*) Po FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Positive' ) - ( SELECT COUNT(*) Ne FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Negative' )) AS REAL) * 100 / ( SELECT COUNT(*) NUM FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' )",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1",
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1",
"SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'",
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5"
]
} |
{
"query": "How many of the reviews for the app \"Brit + Co\" have a comment?",
"pos": [
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL"
],
"neg": [
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7",
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'",
"SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Dino War: Rise of Beasts' AND Sentiment = 'Neutral'",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1",
"SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'"
]
} |
{
"query": "What is the average rating of Apps falling under the racing genre and what is the percentage ratio of positive sentiment reviews?",
"pos": [
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0",
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL",
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5",
"SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'",
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1"
]
} |
{
"query": "How many negative comments are there in all the apps with 100,000,000+ installs?",
"pos": [
"SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'"
],
"neg": [
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'",
"SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'",
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'",
"SELECT COUNT(App) FROM playstore WHERE Rating = 5",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT DISTINCT Sentiment FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Android Ver` = '8.0 and up' )",
"SELECT AVG(CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER)) FROM playstore WHERE Category = 'ENTERTAINMENT' AND Size < '1.0M'",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1",
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7"
]
} |
{
"query": "List down the rating for the App Learn C++.",
"pos": [
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'"
],
"neg": [
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5",
"SELECT AVG(CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER)) FROM playstore WHERE Category = 'ENTERTAINMENT' AND Size < '1.0M'",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.\"Content Rating\" = 'Teen' AND T1.Genres = 'Role Playing'",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3",
"SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1",
"SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'",
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'"
]
} |
{
"query": "How many neutral reviews does the app \"Dino War: Rise of Beasts\" have?",
"pos": [
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Dino War: Rise of Beasts' AND Sentiment = 'Neutral'"
],
"neg": [
"SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'",
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7",
"SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'",
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1",
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0"
]
} |
{
"query": "What are the content ratings for the apps that have \"gr8\" in their comments?",
"pos": [
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'"
],
"neg": [
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'",
"SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'",
"SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Dino War: Rise of Beasts' AND Sentiment = 'Neutral'",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9"
]
} |
{
"query": "List out genre that have downloads more than 1000000000.",
"pos": [
"SELECT Genres FROM playstore WHERE Installs = '1,000,000,000+' GROUP BY Genres"
],
"neg": [
"SELECT COUNT(App) FROM playstore WHERE Rating = 5",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'",
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL",
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0",
"SELECT AVG(CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER)) FROM playstore WHERE Category = 'ENTERTAINMENT' AND Size < '1.0M'",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT CAST((( SELECT COUNT(*) Po FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Positive' ) - ( SELECT COUNT(*) Ne FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Negative' )) AS REAL) * 100 / ( SELECT COUNT(*) NUM FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' )"
]
} |
{
"query": "Among the role playing game genre, how many are targeted to teens and what is their average sentiment polarity score?",
"pos": [
"SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.\"Content Rating\" = 'Teen' AND T1.Genres = 'Role Playing'"
],
"neg": [
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3",
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5",
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1",
"SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'"
]
} |
{
"query": "How much is the size of Browser 4G and how many users have a pretty positive favorability on it?",
"pos": [
"SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5"
],
"neg": [
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT CAST((( SELECT COUNT(*) Po FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Positive' ) - ( SELECT COUNT(*) Ne FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Negative' )) AS REAL) * 100 / ( SELECT COUNT(*) NUM FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' )",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'",
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'"
]
} |
{
"query": "What are the apps that users pretty like this app and how many installs amount of these apps?",
"pos": [
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0"
],
"neg": [
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL",
"SELECT DISTINCT Sentiment FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Android Ver` = '8.0 and up' )",
"SELECT CAST((( SELECT COUNT(*) Po FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Positive' ) - ( SELECT COUNT(*) Ne FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Negative' )) AS REAL) * 100 / ( SELECT COUNT(*) NUM FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' )",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'",
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5",
"SELECT Genres FROM playstore WHERE Installs = '1,000,000,000+' GROUP BY Genres"
]
} |
{
"query": "Which apps have multiple genres and what is the total sentiment subjectivity of these apps?",
"pos": [
"SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1"
],
"neg": [
"SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.\"Content Rating\" = 'Teen' AND T1.Genres = 'Role Playing'",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT CAST((( SELECT COUNT(*) Po FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Positive' ) - ( SELECT COUNT(*) Ne FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' AND T2.Sentiment = 'Negative' )) AS REAL) * 100 / ( SELECT COUNT(*) NUM FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1.\"Last Updated\", -4, 4) > '2015' )",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5"
]
} |
{
"query": "List apps whose rating is 3.9 and state the translated review of each app.",
"pos": [
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9"
],
"neg": [
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL",
"SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'",
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'",
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5"
]
} |
{
"query": "What is the rating for \"Garden Coloring Book\"? List all of its reviews.",
"pos": [
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'"
],
"neg": [
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5",
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Dino War: Rise of Beasts' AND Sentiment = 'Neutral'",
"SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'",
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'"
]
} |
{
"query": "How many users mildly likes the 7 Minute Workout app and when was it last updated?",
"pos": [
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5"
],
"neg": [
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL",
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'",
"SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7",
"SELECT COUNT(App) FROM user_reviews WHERE App = 'Dino War: Rise of Beasts' AND Sentiment = 'Neutral'",
"SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1",
"SELECT Genres FROM playstore WHERE Installs = '1,000,000,000+' GROUP BY Genres",
"SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'"
]
} |
{
"query": "What is the average price for a dating application?",
"pos": [
"SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'"
],
"neg": [
"SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'",
"SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1",
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'",
"SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'",
"SELECT CAST(COUNT(CASE WHEN T1.`Content Rating` = 'Teen' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review = 'nan'"
]
} |
{
"query": "How many apps that are only compatible with Android ver 8.0 and above? List down the users' sentiment of these apps.",
"pos": [
"SELECT DISTINCT Sentiment FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Android Ver` = '8.0 and up' )"
],
"neg": [
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'",
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'",
"SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'",
"SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'",
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT COUNT(T2.Sentiment_Polarity), T1.\"Last Updated\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5"
]
} |
{
"query": "Name the Apps with a sentiment objectivity of 0.3 and include their number of installs.",
"pos": [
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3"
],
"neg": [
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5",
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'",
"SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0",
"SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'",
"SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.\"Content Rating\" = 'Teen' AND T1.Genres = 'Role Playing'"
]
} |
{
"query": "For the Akinator app, how many reviews have sentiment subjectivity of no more than 0.5 and what is its current version?",
"pos": [
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5"
],
"neg": [
"SELECT AVG(Reviews) FROM playstore WHERE Rating = 5",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0",
"SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'",
"SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1",
"SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT AVG(CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER)) FROM playstore WHERE Category = 'ENTERTAINMENT' AND Size < '1.0M'"
]
} |
{
"query": "What is the percentage for free application with a rating 4.5 and above have not been updated since 2018?",
"pos": [
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5"
],
"neg": [
"SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'",
"SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10",
"SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'",
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT AVG(CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER)) FROM playstore WHERE Category = 'ENTERTAINMENT' AND Size < '1.0M'",
"SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1"
]
} |
{
"query": "List all the negative comments on the \"Dog Run - Pet Dog Simulator\" app.",
"pos": [
"SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'"
],
"neg": [
"SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'",
"SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0",
"SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9",
"SELECT COUNT(T2.Sentiment_Subjectivity), T1.\"Current Ver\" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5",
"SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1",
"SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'",
"SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5",
"SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5",
"SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'",
"SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'"
]
} |
{
"query": "What is the full name of the journal that published the paper \"Multiple paternity in a natural population of a salamander with long-term sperm storage\"?",
"pos": [
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = 'Multiple paternity in a natural population of a salamander with long-term sperm storage'"
],
"neg": [
"SELECT COUNT(PaperId) FROM PaperAuthor WHERE Name = 'Howard F. Lipson'",
"SELECT DISTINCT T1.Title, T1.Year, T3.ShortName, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id WHERE T1.Id = 15",
"SELECT DISTINCT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Year = 2008",
"SELECT Name FROM Author WHERE Affiliation = 'University of Illinois Chicago'",
"SELECT DISTINCT T2.Name, T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.ConferenceId = 0 AND T1.JournalId = 0 AND T1.Year = 1997 AND T1.Title <> ''",
"SELECT Name, id FROM Author WHERE Affiliation = 'University of Oulu'",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Year = 2005 AND T1.Keyword = 'KEY WORDS: LOAD IDE SNP haplotype asso- ciation studies'",
"SELECT Affiliation FROM Author WHERE Affiliation IN ('Stanford University', 'Massachusetts Institute of Technology') GROUP BY Affiliation ORDER BY COUNT(Id) DESC LIMIT 1",
"SELECT T3.HomePage, T2.AuthorId FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Year BETWEEN 2000 AND 2005 AND T1.Title LIKE '%SOCIAL%'",
"SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.ShortName = 'ECSQARU' AND T1.Year = '2003'"
]
} |
{
"query": "How many journals do not have a website?",
"pos": [
"SELECT COUNT(HomePage) FROM Journal WHERE HomePage = ''"
],
"neg": [
"SELECT DISTINCT T1.Title, T1.Year, T3.ShortName, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id WHERE T1.Id = 15",
"SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Joe Lograsso'",
"SELECT COUNT(T2.ConferenceId) FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T1.FullName = 'Adaptive Multimedia Retrieval' AND T2.Year = 2007",
"SELECT COUNT(T1.Id) AS PAPER, COUNT(DISTINCT T1.Year) AS YEARS FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE year != 0 AND T2.FullName = 'International Conference on Database Theory'",
"SELECT DISTINCT T2.Name, T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.ConferenceId = 0 AND T1.JournalId = 0 AND T1.Year = 1997 AND T1.Title <> ''",
"SELECT CASE WHEN T1.Year = 0 THEN 'TRUE' ELSE 'FALSE' END FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Zvezdan Protić' AND T1.ConferenceId = 0 AND T1.JournalId = 0",
"SELECT CAST(SUM(CASE WHEN Year = 2001 THEN 1 ELSE 0 END) AS REAL) / COUNT(Id) FROM Paper WHERE Year >= 2001 AND Year < 2011",
"SELECT T2.Name, T2.Affiliation FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Education, democracy and growth'",
"SELECT CAST(SUM(CASE WHEN Year > 2000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Id) FROM Paper",
"SELECT T2.Id, T2.Year, T2.Keyword FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.AuthorId < 1000 AND T1.Affiliation = 'Zurich, ETH'"
]
} |
{
"query": "What is the journal's short and full names that feature papers on the \"Materials\" topic?",
"pos": [
"SELECT T2.ShortName, T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Keyword LIKE '%Materials%'"
],
"neg": [
"SELECT T2.Id, T2.Year, T2.Keyword FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.AuthorId < 1000 AND T1.Affiliation = 'Zurich, ETH'",
"SELECT DISTINCT T2.Title, T2.JournalId FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T1.FullName = 'International Symposium of Robotics Research' AND T2.Year = 2003",
"SELECT T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T2.Name = 'Andrew Cain'",
"SELECT T2.Title FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Ibm Journal of Research and Development'",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Title = 'Extended Fuzzy Regression Models'",
"SELECT T2.HomePage FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = '364: Induction of Mixed Chimerism and Transplantation Tolerance in a Non-Human Primate Lung Allograft Model: Early Results'",
"SELECT COUNT(T2.Name) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T3.FullName = 'IEEE Computer'",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Hypermethylation of the <I>TPEF/HPP1</I> Gene in Primary and Metastatic Colorectal Cancers'",
"SELECT COUNT(id) FROM Paper WHERE Year BETWEEN '1990' AND '2000' AND ConferenceId = 0 AND JournalId = 0",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.ConferenceId != 0 AND T1.JournalId = 0 AND T1.Year != 0"
]
} |
{
"query": "What is the total number and conference's homepage of papers held in a conference with an ID of 187 during 1990 to 2000?",
"pos": [
"SELECT COUNT(T2.ConferenceId), T1.HomePage FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T2.Year BETWEEN 1990 AND 2000 AND T2.ConferenceId = 187"
],
"neg": [
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Year = 2005 AND T1.Keyword = 'KEY WORDS: LOAD IDE SNP haplotype asso- ciation studies'",
"SELECT T2.Name, T2.Affiliation FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Education, democracy and growth'",
"SELECT Name FROM Author WHERE Affiliation = 'Birkbeck University of London'",
"SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Jianli Hua'",
"SELECT T2.ShortName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Year = '2012' GROUP BY T1.ConferenceId ORDER BY COUNT(T1.Id) DESC LIMIT 1",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = 'Multiple paternity in a natural population of a salamander with long-term sperm storage'",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Keyword = 'Sustainability'",
"SELECT CAST(SUM(CASE WHEN T1.ConferenceId = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.ConferenceId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.JournalId BETWEEN 200 AND 300 AND T2.ShortName LIKE 'A%'",
"SELECT T1.FullName FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Education, democracy and growth'",
"SELECT COUNT(T2.ConferenceId) FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T1.FullName = 'Adaptive Multimedia Retrieval' AND T2.Year = 2007"
]
} |
{
"query": "In how many papers and in what years was the International Conference on Database Theory published?",
"pos": [
"SELECT COUNT(T1.Id) AS PAPER, COUNT(DISTINCT T1.Year) AS YEARS FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE year != 0 AND T2.FullName = 'International Conference on Database Theory'"
],
"neg": [
"SELECT Name FROM Author WHERE Affiliation = 'Birkbeck University of London'",
"SELECT T1.FullName FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Education, democracy and growth'",
"SELECT COUNT(T2.Name) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T3.FullName = 'IEEE Computer'",
"SELECT T2.ShortName, T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Keyword LIKE '%Materials%'",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Klaus Zimmermann'",
"SELECT T2.PaperId, T4.ShortName FROM Author AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.AuthorId INNER JOIN Paper AS T3 ON T2.PaperId = T3.Id INNER JOIN Conference AS T4 ON T3.ConferenceId = T4.Id WHERE T3.Year = 2009 LIMIT 10",
"SELECT T2.Keyword FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Modeling Identification and Control' AND T2.Year = 1994",
"SELECT COUNT(PaperId) FROM PaperAuthor WHERE Name = 'Howard F. Lipson'",
"SELECT DISTINCT T2.Name, T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.ConferenceId = 0 AND T1.JournalId = 0 AND T1.Year = 1997 AND T1.Title <> ''",
"SELECT DISTINCT T1.Title FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T2.FullName = 'Theoretical Computer Science' AND T1.Year = 2003 AND T1.Title <> ''"
]
} |
{
"query": "State the name and affiliation of author for the 'Education, democracy and growth' paper?",
"pos": [
"SELECT T2.Name, T2.Affiliation FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Education, democracy and growth'"
],
"neg": [
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Open Sourcing Social Solutions (Building Communities of Change)'",
"SELECT CAST(SUM(CASE WHEN T1.Keyword = 'Turbulent Fluids' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.FullName = 'Physics of Fluids' THEN 1 ELSE 0 END) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id",
"SELECT DISTINCT T1.Title, T1.Year, T3.ShortName, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id WHERE T1.Id = 15",
"SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Joe Lograsso'",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.ConferenceId != 0 AND T1.JournalId = 0 AND T1.Year != 0",
"SELECT CAST(SUM(CASE WHEN T2.FullName = 'International Congress Series' THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.Id) AS Div1, T1.Year FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id GROUP BY T1.YEAR HAVING Div1 != 0",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Year = 2005 AND T1.Keyword = 'KEY WORDS: LOAD IDE SNP haplotype asso- ciation studies'",
"SELECT COUNT(T1.JournalId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T2.FullName = 'Iet Software/iee Proceedings - Software'",
"SELECT COUNT(Name) FROM Author WHERE Affiliation = 'Otterbein University'",
"SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.ShortName = 'ECSQARU' AND T1.Year = '2003'"
]
} |
{
"query": "How many papers were in the journal \"Iet Software/iee Proceedings - Software\"?",
"pos": [
"SELECT COUNT(T1.JournalId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T2.FullName = 'Iet Software/iee Proceedings - Software'"
],
"neg": [
"SELECT CAST((SUM(CASE WHEN T1.Affiliation LIKE '%INFN%' THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T2.Id) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title LIKE '%Charged particle multiplicity%'",
"SELECT DISTINCT T2.Year, FullName FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.ShortName = ''",
"SELECT COUNT(Id) FROM Author WHERE Affiliation = 'University of California Berkeley'",
"SELECT T2.HomePage FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = '364: Induction of Mixed Chimerism and Transplantation Tolerance in a Non-Human Primate Lung Allograft Model: Early Results'",
"SELECT T2.Name, T1.Id FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Inspection resistant memory: Architectural support for security FROM physical examination' AND T2.Affiliation = 'Microsoft Research, USA'",
"SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.ShortName = 'ECSQARU' AND T1.Year = '2003'",
"SELECT COUNT(T2.Name) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T3.FullName = 'IEEE Computer'",
"SELECT T1.Affiliation FROM PaperAuthor AS T1 INNER JOIN Author AS T2 ON T1.AuthorId = T2.Id WHERE T2.Name = 'Mark A. Musen'",
"SELECT CAST(SUM(CASE WHEN T2.FullName = 'International Congress Series' THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.Id) AS Div1, T1.Year FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id GROUP BY T1.YEAR HAVING Div1 != 0",
"SELECT T3.HomePage, T2.AuthorId FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Year BETWEEN 2000 AND 2005 AND T1.Title LIKE '%SOCIAL%'"
]
} |
{
"query": "What are the three journals that the papers written by Andrew Cain were published in? Please provide your answer with the full name of each journal.",
"pos": [
"SELECT T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T2.Name = 'Andrew Cain'"
],
"neg": [
"SELECT T1.Affiliation FROM PaperAuthor AS T1 INNER JOIN Author AS T2 ON T1.AuthorId = T2.Id WHERE T2.Name = 'Mark A. Musen'",
"SELECT T1.Title, T1.JournalId FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Year >= 1960 AND T1.Year <= 1970",
"SELECT FullName, HomePage FROM Conference WHERE ShortName = 'ICCI'",
"SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.ShortName = 'ECSQARU' AND T1.Year = '2003'",
"SELECT T1.HomePage FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Area Effects in Cepaea'",
"SELECT T2.Name, T3.ShortName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.JournalId BETWEEN 245 AND 250 AND T1.Title LIKE '%chemiluminescence%'",
"SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Joe Lograsso'",
"SELECT CAST(SUM(CASE WHEN T1.ConferenceId = 0 AND T1.JournalId = 0 THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.Id) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'John Van Reenen'",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Affiliation = 'Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea' AND T1.Title = 'A Randomized Comparison of Sirolimus- Versus Paclitaxel-Eluting Stent Implantation in Patients With Diabetes Mellitus'",
"SELECT T2.ShortName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Year = '2012' GROUP BY T1.ConferenceId ORDER BY COUNT(T1.Id) DESC LIMIT 1"
]
} |
{
"query": "How many publications were published by author named 'Howard F. Lipson'?",
"pos": [
"SELECT COUNT(PaperId) FROM PaperAuthor WHERE Name = 'Howard F. Lipson'"
],
"neg": [
"SELECT T2.title, T3.name, T1.FullName FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.id = T2.ConferenceId INNER JOIN PaperAuthor AS T3 ON T1.id = T3.PaperId WHERE T1.ShortName = 'MICRO' AND T2.Year BETWEEN '1971' AND '1980'",
"SELECT T2.Name, T2.Affiliation, T3.ShortName, T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Title = 'Decreased Saliva Secretion and Down-Regulation of AQP5 in Submandibular Gland in Irradiated Rats'",
"SELECT COUNT(id) FROM Paper WHERE Year BETWEEN '1990' AND '2000' AND ConferenceId = 0 AND JournalId = 0",
"SELECT CAST((SUM(CASE WHEN T1.Affiliation LIKE '%INFN%' THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T2.Id) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title LIKE '%Charged particle multiplicity%'",
"SELECT Affiliation FROM Author WHERE Affiliation IN ('Stanford University', 'Massachusetts Institute of Technology') GROUP BY Affiliation ORDER BY COUNT(Id) DESC LIMIT 1",
"SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.ShortName = 'ECSQARU' AND T1.Year = '2003'",
"SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name LIKE 'Jun du%' LIMIT 2",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Title = 'Extended Fuzzy Regression Models'",
"SELECT COUNT(T1.JournalId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T2.FullName = 'Iet Software/iee Proceedings - Software'",
"SELECT T2.HomePage FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = '364: Induction of Mixed Chimerism and Transplantation Tolerance in a Non-Human Primate Lung Allograft Model: Early Results'"
]
} |
{
"query": "List the names of authors affiliated with the University of Oxford in alphabetical order.",
"pos": [
"SELECT Name FROM Author WHERE Affiliation = 'University of Oxford' ORDER BY Name ASC"
],
"neg": [
"SELECT COUNT(T1.Id) AS PAPER, COUNT(DISTINCT T1.Year) AS YEARS FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE year != 0 AND T2.FullName = 'International Conference on Database Theory'",
"SELECT T1.FullName FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Education, democracy and growth'",
"SELECT T2.Title FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.ShortName = 'TUBERCLE LUNG DIS' ORDER BY T2.Year ASC LIMIT 1",
"SELECT DISTINCT T1.Title, T1.Year, T3.ShortName, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id WHERE T1.Id = 15",
"SELECT COUNT(Id) FROM Author WHERE Affiliation = 'University of California Berkeley'",
"SELECT CAST(SUM(CASE WHEN T1.ConferenceId = 0 AND T1.JournalId = 0 THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.Id) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'John Van Reenen'",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Thomas Wiegand' AND T2.Year = 1995",
"SELECT T1.ConferenceId, T1.JournalId, T2.Name, T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id INNER JOIN Journal AS T4 ON T1.JournalId = T4.Id WHERE T2.Name = 'Shueh-Lin Yau'",
"SELECT Keyword FROM Paper WHERE Title = 'Stitching videos streamed by mobile phones in real-time'",
"SELECT T1.HomePage FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Area Effects in Cepaea'"
]
} |
{
"query": "Write down the author name, affiliation, jounal short name and full name of the paper \"Decreased Saliva Secretion and Down-Regulation of AQP5 in Submandibular Gland in Irradiated Rats\".",
"pos": [
"SELECT T2.Name, T2.Affiliation, T3.ShortName, T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Title = 'Decreased Saliva Secretion and Down-Regulation of AQP5 in Submandibular Gland in Irradiated Rats'"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN T2.FullName = 'International Congress Series' THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.Id) AS Div1, T1.Year FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id GROUP BY T1.YEAR HAVING Div1 != 0",
"SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.ShortName = 'ECSQARU' AND T1.Year = '2003'",
"SELECT T2.title, T3.name, T1.FullName FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.id = T2.ConferenceId INNER JOIN PaperAuthor AS T3 ON T1.id = T3.PaperId WHERE T1.ShortName = 'MICRO' AND T2.Year BETWEEN '1971' AND '1980'",
"SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name LIKE 'Jun du%' LIMIT 2",
"SELECT T2.Name, T3.ShortName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.JournalId BETWEEN 245 AND 250 AND T1.Title LIKE '%chemiluminescence%'",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id GROUP BY T1.PaperId ORDER BY COUNT(T1.PaperId) DESC LIMIT 1",
"SELECT COUNT(T2.AuthorId) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'An Improved Active Suspension Model for Attitude Control of Electric Vehicles'",
"SELECT DISTINCT T1.Title, T1.Year, T3.ShortName, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id WHERE T1.Id = 15",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Year = 0",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Open Sourcing Social Solutions (Building Communities of Change)'"
]
} |
{
"query": "What are the keywords for the paper which was published on \"Modeling Identification and Control\" in 1994?",
"pos": [
"SELECT T2.Keyword FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Modeling Identification and Control' AND T2.Year = 1994"
],
"neg": [
"SELECT FullName, HomePage FROM Conference WHERE ShortName = 'ICCI'",
"SELECT T3.HomePage, T2.AuthorId FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Year BETWEEN 2000 AND 2005 AND T1.Title LIKE '%SOCIAL%'",
"SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name LIKE 'Jun du%' LIMIT 2",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id GROUP BY T1.PaperId ORDER BY COUNT(T1.PaperId) DESC LIMIT 1",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id WHERE T3.FullName LIKE '%Workshop%'",
"SELECT T1.FullName FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Education, democracy and growth'",
"SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Joe Lograsso'",
"SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Area Effects in Cepaea'",
"SELECT COUNT(T2.ConferenceId) FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T1.FullName = 'Adaptive Multimedia Retrieval' AND T2.Year = 2007",
"SELECT COUNT(T1.Id) AS PAPER, COUNT(DISTINCT T1.Year) AS YEARS FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE year != 0 AND T2.FullName = 'International Conference on Database Theory'"
]
} |
{
"query": "What is the name of the co-authors of the paper titled 'Particle identification using the time-over-threshold method in the ATLAS Transition Radiation Tracker'?",
"pos": [
"SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Particle identification using the time-over-threshold method in the ATLAS Transition Radiation Tracker'"
],
"neg": [
"SELECT T1.ConferenceId, T1.JournalId, T2.Name, T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id INNER JOIN Journal AS T4 ON T1.JournalId = T4.Id WHERE T2.Name = 'Shueh-Lin Yau'",
"SELECT COUNT(T2.JournalId) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Academic Medicine' AND T2.Year BETWEEN 2005 AND 2010",
"SELECT ShortName, HomePage FROM Conference WHERE FullName LIKE 'International Conference on Artificial Intelligence%'",
"SELECT CAST(SUM(CASE WHEN T1.ConferenceId = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.ConferenceId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.JournalId BETWEEN 200 AND 300 AND T2.ShortName LIKE 'A%'",
"SELECT COUNT(HomePage) FROM Journal WHERE HomePage = ''",
"SELECT T2.Name, T2.Affiliation, T3.ShortName, T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Title = 'Decreased Saliva Secretion and Down-Regulation of AQP5 in Submandibular Gland in Irradiated Rats'",
"SELECT CAST(SUM(CASE WHEN Year = 2001 THEN 1 ELSE 0 END) AS REAL) / COUNT(Id) FROM Paper WHERE Year >= 2001 AND Year < 2011",
"SELECT T1.Title, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Keyword LIKE '%optical properties%' AND T1.Year BETWEEN 2000 AND 2005 AND T1.Title <> ''",
"SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Area Effects in Cepaea'",
"SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Incremental Extraction of Keyterms for Classifying Multilingual Documents in the Web' AND T1.Affiliation = 'National Taiwan University Department of Computer Science and Information Engineering Taiwan'"
]
} |
{
"query": "List all the titles and their publishing journals from the 60's.",
"pos": [
"SELECT T1.Title, T1.JournalId FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Year >= 1960 AND T1.Year <= 1970"
],
"neg": [
"SELECT T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T2.Name = 'Andrew Cain'",
"SELECT FullName, HomePage FROM Conference WHERE ShortName = 'ICCI'",
"SELECT T2.Id, T2.Year, T2.Keyword FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.AuthorId < 1000 AND T1.Affiliation = 'Zurich, ETH'",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Affiliation = 'Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea' AND T1.Title = 'A Randomized Comparison of Sirolimus- Versus Paclitaxel-Eluting Stent Implantation in Patients With Diabetes Mellitus'",
"SELECT T2.Name, T3.ShortName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.JournalId BETWEEN 245 AND 250 AND T1.Title LIKE '%chemiluminescence%'",
"SELECT T2.HomePage FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Title = 'Quality evaluation of long duration audiovisual content'",
"SELECT COUNT(Id) FROM Author WHERE Affiliation = 'University of California Berkeley'",
"SELECT COUNT(HomePage) FROM Journal WHERE HomePage = ''",
"SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.FullName = 'Mathematics of Program Construction'",
"SELECT T1.Title, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Keyword LIKE '%optical properties%' AND T1.Year BETWEEN 2000 AND 2005 AND T1.Title <> ''"
]
} |
{
"query": "Which journal was the paper \"Education, democracy and growth\" published on? Give the full name of the journal.",
"pos": [
"SELECT T1.FullName FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Education, democracy and growth'"
],
"neg": [
"SELECT COUNT(Id) FROM Author WHERE Affiliation = 'University of California Berkeley'",
"SELECT T2.Name, T2.Affiliation, T3.ShortName, T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Title = 'Decreased Saliva Secretion and Down-Regulation of AQP5 in Submandibular Gland in Irradiated Rats'",
"SELECT T2.Title FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.ShortName = 'TUBERCLE LUNG DIS' ORDER BY T2.Year ASC LIMIT 1",
"SELECT T2.ShortName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Year = '2012' GROUP BY T1.ConferenceId ORDER BY COUNT(T1.Id) DESC LIMIT 1",
"SELECT T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T2.Name = 'Andrew Cain'",
"SELECT T1.Title, T1.JournalId FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Year >= 1960 AND T1.Year <= 1970",
"SELECT CAST(SUM(CASE WHEN T1.ConferenceId = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.ConferenceId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.JournalId BETWEEN 200 AND 300 AND T2.ShortName LIKE 'A%'",
"SELECT CAST((SUM(CASE WHEN T1.Affiliation LIKE '%INFN%' THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T2.Id) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title LIKE '%Charged particle multiplicity%'",
"SELECT COUNT(Name) FROM Author WHERE Affiliation = 'Otterbein University'",
"SELECT T2.Title FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Ibm Journal of Research and Development'"
]
} |
{
"query": "Among the authors of the paper \"Stitching videos streamed by mobile phones in real-time\", how many of them are affiliated with Cairo Microsoft Innovation Lab?",
"pos": [
"SELECT COUNT(T1.AuthorId) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Affiliation = 'University of Tokyo' AND T2.Title = 'FIBER: A Generalized Framework for Auto-tuning Software'"
],
"neg": [
"SELECT COUNT(Id) FROM Author WHERE Affiliation = 'University of California Berkeley'",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.ConferenceId != 0 AND T1.JournalId = 0 AND T1.Year != 0",
"SELECT DISTINCT T1.Title FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T2.FullName = 'Theoretical Computer Science' AND T1.Year = 2003 AND T1.Title <> ''",
"SELECT COUNT(DISTINCT T2.Name) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = '145 GROWTH HORMONE RECEPTORS AND THE ONSET OF HYPERINSULINEMIA IN THE OBESE ZUCKER RAT: '",
"SELECT COUNT(T1.JournalId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T2.FullName = 'Iet Software/iee Proceedings - Software'",
"SELECT T2.ShortName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Year = '2012' GROUP BY T1.ConferenceId ORDER BY COUNT(T1.Id) DESC LIMIT 1",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Thomas Wiegand' AND T2.Year = 1995",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = 'Multiple paternity in a natural population of a salamander with long-term sperm storage'",
"SELECT DISTINCT T2.Year, FullName FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.ShortName = ''",
"SELECT T1.Title, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Keyword LIKE '%optical properties%' AND T1.Year BETWEEN 2000 AND 2005 AND T1.Title <> ''"
]
} |
{
"query": "Among author ID of under 1000, who published the paper in affiliation with Zurich, ETH, provide paper ID, year and keyword if any.",
"pos": [
"SELECT T2.Id, T2.Year, T2.Keyword FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.AuthorId < 1000 AND T1.Affiliation = 'Zurich, ETH'"
],
"neg": [
"SELECT COUNT(DISTINCT T2.Name) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = '145 GROWTH HORMONE RECEPTORS AND THE ONSET OF HYPERINSULINEMIA IN THE OBESE ZUCKER RAT: '",
"SELECT COUNT(T1.JournalId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T2.FullName = 'Iet Software/iee Proceedings - Software'",
"SELECT CAST(SUM(CASE WHEN T2.FullName = 'International Congress Series' THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.Id) AS Div1, T1.Year FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id GROUP BY T1.YEAR HAVING Div1 != 0",
"SELECT T2.Name, T2.Affiliation FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Education, democracy and growth'",
"SELECT T1.Title, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Keyword LIKE '%optical properties%' AND T1.Year BETWEEN 2000 AND 2005 AND T1.Title <> ''",
"SELECT T2.Title FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.ShortName = 'TUBERCLE LUNG DIS' ORDER BY T2.Year ASC LIMIT 1",
"SELECT COUNT(Name) FROM Author WHERE Affiliation = 'Otterbein University'",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Affiliation = 'Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea' AND T1.Title = 'A Randomized Comparison of Sirolimus- Versus Paclitaxel-Eluting Stent Implantation in Patients With Diabetes Mellitus'",
"SELECT T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T2.Name = 'Andrew Cain'",
"SELECT COUNT(id) FROM Paper WHERE Year BETWEEN '1990' AND '2000' AND ConferenceId = 0 AND JournalId = 0"
]
} |
{
"query": "Please list the titles of the paper whose authors include Klaus Zimmermann.",
"pos": [
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Klaus Zimmermann'"
],
"neg": [
"SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Area Effects in Cepaea'",
"SELECT Name FROM Author WHERE Affiliation = 'University of Oxford' ORDER BY Name ASC",
"SELECT COUNT(PaperId) FROM PaperAuthor WHERE Name = 'Howard F. Lipson'",
"SELECT T1.Title, T1.JournalId FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Year >= 1960 AND T1.Year <= 1970",
"SELECT CAST(COUNT(T2.Id) AS REAL) / COUNT(DISTINCT T2.Year) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Molecular Brain' AND T2.Year BETWEEN 2008 AND 2011",
"SELECT COUNT(id) FROM Paper WHERE Year BETWEEN '1990' AND '2000' AND ConferenceId = 0 AND JournalId = 0",
"SELECT COUNT(T2.Name) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T3.FullName = 'IEEE Computer'",
"SELECT ShortName, HomePage FROM Conference WHERE FullName LIKE 'International Conference on Artificial Intelligence%'",
"SELECT Keyword, Year FROM Paper WHERE Title = 'A Formal Approach to Service Component Architecture'",
"SELECT T1.Affiliation FROM PaperAuthor AS T1 INNER JOIN Author AS T2 ON T1.AuthorId = T2.Id WHERE T2.Name = 'Mark A. Musen'"
]
} |
{
"query": "What is the full name of the conference in which the paper \"2004 YD5\" was published?",
"pos": [
"SELECT T1.FullName FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T2.Title = '2004 YD5'"
],
"neg": [
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Determination of Planetary Meteorology FROM Aerobot Flight Sensors'",
"SELECT COUNT(T1.AuthorId) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Affiliation = 'University of Tokyo' AND T2.Title = 'FIBER: A Generalized Framework for Auto-tuning Software'",
"SELECT Name, id FROM Author WHERE Affiliation = 'University of Oulu'",
"SELECT COUNT(T1.JournalId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T2.FullName = 'Iet Software/iee Proceedings - Software'",
"SELECT T3.HomePage, T2.AuthorId FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Year BETWEEN 2000 AND 2005 AND T1.Title LIKE '%SOCIAL%'",
"SELECT CAST(SUM(CASE WHEN Year = 2001 THEN 1 ELSE 0 END) AS REAL) / COUNT(Id) FROM Paper WHERE Year >= 2001 AND Year < 2011",
"SELECT COUNT(HomePage) FROM Journal WHERE HomePage = ''",
"SELECT COUNT(T2.ConferenceId) FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T1.FullName = 'Adaptive Multimedia Retrieval' AND T2.Year = 2007",
"SELECT Keyword, Year FROM Paper WHERE Title = 'A Formal Approach to Service Component Architecture'",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Year = 2005 AND T1.Keyword = 'KEY WORDS: LOAD IDE SNP haplotype asso- ciation studies'"
]
} |
{
"query": "What are the journal homepages and author ID of the papers published in 2000 to 2005 with a word \"social\" in its title?",
"pos": [
"SELECT T3.HomePage, T2.AuthorId FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Year BETWEEN 2000 AND 2005 AND T1.Title LIKE '%SOCIAL%'"
],
"neg": [
"SELECT DISTINCT T2.HomePage FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Title = 'Increasing the Concurrency in Estelle'",
"SELECT COUNT(Name) FROM Author WHERE Affiliation = 'Otterbein University'",
"SELECT T1.Affiliation FROM PaperAuthor AS T1 INNER JOIN Author AS T2 ON T1.AuthorId = T2.Id WHERE T2.Name = 'Mark A. Musen'",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Keyword = 'Sustainability'",
"SELECT SUM(CASE WHEN T1.FullName = 'Cases Journal' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.FullName = 'Molecular Brain' THEN 1 ELSE 0 END) AS DIFF FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId",
"SELECT T2.Name, T3.ShortName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.JournalId BETWEEN 245 AND 250 AND T1.Title LIKE '%chemiluminescence%'",
"SELECT PaperId, AuthorId FROM PaperAuthor WHERE Affiliation LIKE 'Cairo Microsoft Innovation Lab%'",
"SELECT COUNT(id) FROM Paper WHERE Year BETWEEN '1990' AND '2000' AND ConferenceId = 0 AND JournalId = 0",
"SELECT CAST(SUM(CASE WHEN T1.Keyword = 'Turbulent Fluids' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.FullName = 'Physics of Fluids' THEN 1 ELSE 0 END) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id",
"SELECT COUNT(T2.AuthorId) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'An Improved Active Suspension Model for Attitude Control of Electric Vehicles'"
]
} |
{
"query": "Please list the names of the authors of the paper \"Hypermethylation of the <I>TPEF/HPP1</I> Gene in Primary and Metastatic Colorectal Cancers\".",
"pos": [
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Hypermethylation of the <I>TPEF/HPP1</I> Gene in Primary and Metastatic Colorectal Cancers'"
],
"neg": [
"SELECT COUNT(id) FROM Paper WHERE Year BETWEEN '1990' AND '2000' AND ConferenceId = 0 AND JournalId = 0",
"SELECT T2.Keyword FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Modeling Identification and Control' AND T2.Year = 1994",
"SELECT COUNT(Name) FROM Author WHERE Affiliation = 'NASA Langley Research Center'",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Zuliang Du' ORDER BY T2.Year DESC LIMIT 1",
"SELECT DISTINCT T1.Title, T2.ShortName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.ConferenceId BETWEEN 160 AND 170",
"SELECT T1.ConferenceId, T1.JournalId, T2.Name, T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id INNER JOIN Journal AS T4 ON T1.JournalId = T4.Id WHERE T2.Name = 'Shueh-Lin Yau'",
"SELECT COUNT(T2.Title) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Thomas Wiegand' AND T2.Year = 1995",
"SELECT DISTINCT T2.Year, FullName FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.ShortName = ''",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = 'Multiple paternity in a natural population of a salamander with long-term sperm storage'",
"SELECT T2.HomePage FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Title = 'Energy-efficiency bounds for noise-tolerant dynamic circuits'"
]
} |
{
"query": "What is the average number of papers published in the journal \"Molecular Brain\" every year from 2008 to 2011?",
"pos": [
"SELECT CAST(COUNT(T2.Id) AS REAL) / COUNT(DISTINCT T2.Year) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Molecular Brain' AND T2.Year BETWEEN 2008 AND 2011"
],
"neg": [
"SELECT T1.FullName FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Education, democracy and growth'",
"SELECT T2.Title FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Concepts in Magnetic Resonance Part A' AND T2.Year = 2008",
"SELECT DISTINCT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Year = 2008",
"SELECT DISTINCT T1.Title FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T2.FullName = 'Theoretical Computer Science' AND T1.Year = 2003 AND T1.Title <> ''",
"SELECT Name FROM Author WHERE Affiliation = 'Birkbeck University of London'",
"SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.ShortName = 'ECSQARU' AND T1.Year = '2003'",
"SELECT Name FROM Author WHERE Affiliation = 'University of Oxford' ORDER BY Name ASC",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id GROUP BY T1.PaperId ORDER BY COUNT(T1.PaperId) DESC LIMIT 1",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Keyword = 'Sustainability'",
"SELECT T2.ShortName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Year = '2012' GROUP BY T1.ConferenceId ORDER BY COUNT(T1.Id) DESC LIMIT 1"
]
} |
{
"query": "Among papers that were published in 2005, provide the author name of paper with key words of \"LOAD; IDE; SNP; haplotype; asso- ciation studies\".",
"pos": [
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Year = 2005 AND T1.Keyword = 'KEY WORDS: LOAD IDE SNP haplotype asso- ciation studies'"
],
"neg": [
"SELECT COUNT(HomePage) FROM Journal WHERE HomePage = ''",
"SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Particle identification using the time-over-threshold method in the ATLAS Transition Radiation Tracker'",
"SELECT COUNT(Id) FROM Author WHERE Affiliation = 'University of California Berkeley'",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Open Sourcing Social Solutions (Building Communities of Change)'",
"SELECT CAST(SUM(CASE WHEN Year > 2000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Id) FROM Paper",
"SELECT CAST(SUM(CASE WHEN T1.Keyword = 'Turbulent Fluids' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.FullName = 'Physics of Fluids' THEN 1 ELSE 0 END) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Keyword = 'Sustainability'",
"SELECT COUNT(Name) FROM Author WHERE Affiliation = 'NASA Langley Research Center'",
"SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Area Effects in Cepaea'",
"SELECT T2.ShortName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = 'A Case of Unilateral Ashy Dermatosis'"
]
} |
{
"query": "Between \"Standford University\" and \"Massachusetts Institute of Technolgy\", which organization had affiliated with more author.?",
"pos": [
"SELECT Affiliation FROM Author WHERE Affiliation IN ('Stanford University', 'Massachusetts Institute of Technology') GROUP BY Affiliation ORDER BY COUNT(Id) DESC LIMIT 1"
],
"neg": [
"SELECT COUNT(id) FROM Paper WHERE Year BETWEEN '1990' AND '2000' AND ConferenceId = 0 AND JournalId = 0",
"SELECT T1.Affiliation FROM PaperAuthor AS T1 INNER JOIN Author AS T2 ON T1.AuthorId = T2.Id WHERE T2.Name = 'Mark A. Musen'",
"SELECT CAST(SUM(CASE WHEN T1.ConferenceId = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.ConferenceId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.JournalId BETWEEN 200 AND 300 AND T2.ShortName LIKE 'A%'",
"SELECT T2.title, T3.name, T1.FullName FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.id = T2.ConferenceId INNER JOIN PaperAuthor AS T3 ON T1.id = T3.PaperId WHERE T1.ShortName = 'MICRO' AND T2.Year BETWEEN '1971' AND '1980'",
"SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Incremental Extraction of Keyterms for Classifying Multilingual Documents in the Web' AND T1.Affiliation = 'National Taiwan University Department of Computer Science and Information Engineering Taiwan'",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Hypermethylation of the <I>TPEF/HPP1</I> Gene in Primary and Metastatic Colorectal Cancers'",
"SELECT Name, id FROM Author WHERE Affiliation = 'University of Oulu'",
"SELECT COUNT(Id) FROM Author WHERE Affiliation = 'University of California Berkeley'",
"SELECT T2.ShortName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = 'A Case of Unilateral Ashy Dermatosis'",
"SELECT T2.Title FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T1.HomePage = '' AND T2.Title <> ''"
]
} |
{
"query": "Please list all of the associations that the authors of the paper \"FIBER: A Generalized Framework for Auto-tuning Software\" are affiliated with.",
"pos": [
"SELECT DISTINCT T2.Affiliation FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'FIBER: A Generalized Framework for Auto-tuning Software'"
],
"neg": [
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Thomas Wiegand' AND T2.Year = 1995",
"SELECT T2.Name, T1.Id FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Inspection resistant memory: Architectural support for security FROM physical examination' AND T2.Affiliation = 'Microsoft Research, USA'",
"SELECT T2.PaperId, T4.ShortName FROM Author AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.AuthorId INNER JOIN Paper AS T3 ON T2.PaperId = T3.Id INNER JOIN Conference AS T4 ON T3.ConferenceId = T4.Id WHERE T3.Year = 2009 LIMIT 10",
"SELECT T3.HomePage, T2.AuthorId FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Year BETWEEN 2000 AND 2005 AND T1.Title LIKE '%SOCIAL%'",
"SELECT T1.Title, T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Year < 1 LIMIT 2",
"SELECT T2.HomePage FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = '364: Induction of Mixed Chimerism and Transplantation Tolerance in a Non-Human Primate Lung Allograft Model: Early Results'",
"SELECT T2.Title FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T1.HomePage = '' AND T2.Title <> ''",
"SELECT T2.ShortName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Year = '2012' GROUP BY T1.ConferenceId ORDER BY COUNT(T1.Id) DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN Year > 2000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Id) FROM Paper",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Hypermethylation of the <I>TPEF/HPP1</I> Gene in Primary and Metastatic Colorectal Cancers'"
]
} |
{
"query": "What is the paper \"Stitching videos streamed by mobile phones in real-time\" about?",
"pos": [
"SELECT Keyword FROM Paper WHERE Title = 'Stitching videos streamed by mobile phones in real-time'"
],
"neg": [
"SELECT T2.Name, T3.ShortName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.JournalId BETWEEN 245 AND 250 AND T1.Title LIKE '%chemiluminescence%'",
"SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Joe Lograsso'",
"SELECT CAST(SUM(CASE WHEN T1.ConferenceId = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.ConferenceId) FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.JournalId BETWEEN 200 AND 300 AND T2.ShortName LIKE 'A%'",
"SELECT T2.Name, T1.Id FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Inspection resistant memory: Architectural support for security FROM physical examination' AND T2.Affiliation = 'Microsoft Research, USA'",
"SELECT CAST((SUM(CASE WHEN T1.Affiliation LIKE '%INFN%' THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T2.Id) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title LIKE '%Charged particle multiplicity%'",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Title = 'Extended Fuzzy Regression Models'",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id GROUP BY T1.PaperId ORDER BY COUNT(T1.PaperId) DESC LIMIT 1",
"SELECT COUNT(PaperId) FROM PaperAuthor WHERE Name = 'Howard F. Lipson'",
"SELECT Affiliation FROM Author WHERE Affiliation IN ('Stanford University', 'Massachusetts Institute of Technology') GROUP BY Affiliation ORDER BY COUNT(Id) DESC LIMIT 1",
"SELECT T2.Id, T2.Year, T2.Keyword FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.AuthorId < 1000 AND T1.Affiliation = 'Zurich, ETH'"
]
} |
{
"query": "How many papers were preprinted between the years 1990 and 2000?",
"pos": [
"SELECT COUNT(id) FROM Paper WHERE Year BETWEEN '1990' AND '2000' AND ConferenceId = 0 AND JournalId = 0"
],
"neg": [
"SELECT T1.HomePage FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Area Effects in Cepaea'",
"SELECT COUNT(DISTINCT T2.Name) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = '145 GROWTH HORMONE RECEPTORS AND THE ONSET OF HYPERINSULINEMIA IN THE OBESE ZUCKER RAT: '",
"SELECT COUNT(Id) FROM Author WHERE Affiliation = 'University of California Berkeley'",
"SELECT CAST(SUM(CASE WHEN Year = 2001 THEN 1 ELSE 0 END) AS REAL) / COUNT(Id) FROM Paper WHERE Year >= 2001 AND Year < 2011",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Open Sourcing Social Solutions (Building Communities of Change)'",
"SELECT T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name LIKE 'Jun du%' LIMIT 2",
"SELECT T2.ShortName, T2.FullName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Keyword LIKE '%Materials%'",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Klaus Zimmermann'",
"SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Particle identification using the time-over-threshold method in the ATLAS Transition Radiation Tracker'",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id GROUP BY T1.PaperId ORDER BY COUNT(T1.PaperId) DESC LIMIT 1"
]
} |
{
"query": "Among the papers published in 2009, pick 10 and list down the conference's short name of these papers.",
"pos": [
"SELECT T2.PaperId, T4.ShortName FROM Author AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.AuthorId INNER JOIN Paper AS T3 ON T2.PaperId = T3.Id INNER JOIN Conference AS T4 ON T3.ConferenceId = T4.Id WHERE T3.Year = 2009 LIMIT 10"
],
"neg": [
"SELECT DISTINCT T1.Title FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T2.FullName = 'Theoretical Computer Science' AND T1.Year = 2003 AND T1.Title <> ''",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Determination of Planetary Meteorology FROM Aerobot Flight Sensors'",
"SELECT T2.Title FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.ShortName = 'TUBERCLE LUNG DIS' ORDER BY T2.Year ASC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN Year > 2000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Id) FROM Paper",
"SELECT DISTINCT T1.Title, T1.Year, T3.ShortName, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id WHERE T1.Id = 15",
"SELECT T1.Title, T1.JournalId FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Year >= 1960 AND T1.Year <= 1970",
"SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Area Effects in Cepaea'",
"SELECT COUNT(Name) FROM Author WHERE Affiliation = 'Otterbein University'",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.ConferenceId != 0 AND T1.JournalId = 0 AND T1.Year != 0",
"SELECT COUNT(T2.AuthorId) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'An Improved Active Suspension Model for Attitude Control of Electric Vehicles'"
]
} |
{
"query": "Among the author who drafted the paper \"A Randomized Comparison of Sirolimus- Versus Paclitaxel-Eluting Stent Implantation in Patients With Diabetes Mellitus\", which of them is/are affiliated with the Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea\n?",
"pos": [
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Affiliation = 'Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea' AND T1.Title = 'A Randomized Comparison of Sirolimus- Versus Paclitaxel-Eluting Stent Implantation in Patients With Diabetes Mellitus'"
],
"neg": [
"SELECT DISTINCT T2.Name, T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.ConferenceId = 0 AND T1.JournalId = 0 AND T1.Year = 1997 AND T1.Title <> ''",
"SELECT CAST(SUM(CASE WHEN T1.ConferenceId = 0 AND T1.JournalId = 0 THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.Id) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'John Van Reenen'",
"SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.ShortName = 'ECSQARU' AND T1.Year = '2003'",
"SELECT Name FROM Author WHERE Affiliation = 'Birkbeck University of London'",
"SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Thomas Wiegand' AND T2.Year = 1995",
"SELECT Keyword FROM Paper WHERE Title = 'Stitching videos streamed by mobile phones in real-time'",
"SELECT CAST(SUM(CASE WHEN Year = 2001 THEN 1 ELSE 0 END) AS REAL) / COUNT(Id) FROM Paper WHERE Year >= 2001 AND Year < 2011",
"SELECT T1.FullName FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Education, democracy and growth'",
"SELECT DISTINCT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.ConferenceId = 0 AND T1.JournalId < 100",
"SELECT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Title = 'Extended Fuzzy Regression Models'"
]
} |
{
"query": "How many authors finished the paper \"An Improved Active Suspension Model for Attitude Control of Electric Vehicles\" together?",
"pos": [
"SELECT COUNT(T2.AuthorId) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'An Improved Active Suspension Model for Attitude Control of Electric Vehicles'"
],
"neg": [
"SELECT T2.Name, T3.ShortName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.JournalId BETWEEN 245 AND 250 AND T1.Title LIKE '%chemiluminescence%'",
"SELECT DISTINCT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.ConferenceId = 0 AND T1.JournalId < 100",
"SELECT COUNT(T1.Id) AS PAPER, COUNT(DISTINCT T1.Year) AS YEARS FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE year != 0 AND T2.FullName = 'International Conference on Database Theory'",
"SELECT Name FROM Author WHERE Affiliation = 'University of Illinois Chicago'",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Determination of Planetary Meteorology FROM Aerobot Flight Sensors'",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Open Sourcing Social Solutions (Building Communities of Change)'",
"SELECT CAST(SUM(CASE WHEN Year > 2000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Id) FROM Paper",
"SELECT COUNT(T2.ConferenceId), T1.HomePage FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T2.Year BETWEEN 1990 AND 2000 AND T2.ConferenceId = 187",
"SELECT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Year = 2005 AND T1.Keyword = 'KEY WORDS: LOAD IDE SNP haplotype asso- ciation studies'",
"SELECT T1.Title, T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Keyword LIKE '%optical properties%' AND T1.Year BETWEEN 2000 AND 2005 AND T1.Title <> ''"
]
} |
{
"query": "Under the conference name of MICRO, calculate how many more paper is needed to published in 1971 to 1980 in average by yearly to get equivalent to the number of paper from 1991 to 2000. Write down the title and author name of the paper that were actually published during 1971 to 1980 with the conference name with MICRO.",
"pos": [
"SELECT T2.title, T3.name, T1.FullName FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.id = T2.ConferenceId INNER JOIN PaperAuthor AS T3 ON T1.id = T3.PaperId WHERE T1.ShortName = 'MICRO' AND T2.Year BETWEEN '1971' AND '1980'"
],
"neg": [
"SELECT T3.HomePage, T2.AuthorId FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Year BETWEEN 2000 AND 2005 AND T1.Title LIKE '%SOCIAL%'",
"SELECT COUNT(T1.AuthorId) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Affiliation = 'University of Tokyo' AND T2.Title = 'FIBER: A Generalized Framework for Auto-tuning Software'",
"SELECT COUNT(T1.Id) AS PAPER, COUNT(DISTINCT T1.Year) AS YEARS FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE year != 0 AND T2.FullName = 'International Conference on Database Theory'",
"SELECT T2.Id, T2.Year, T2.Keyword FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.AuthorId < 1000 AND T1.Affiliation = 'Zurich, ETH'",
"SELECT PaperId, AuthorId FROM PaperAuthor WHERE Affiliation LIKE 'Cairo Microsoft Innovation Lab%'",
"SELECT T2.ShortName FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = 'A Case of Unilateral Ashy Dermatosis'",
"SELECT DISTINCT T2.Affiliation FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'FIBER: A Generalized Framework for Auto-tuning Software'",
"SELECT Name FROM Author WHERE Affiliation = 'Birkbeck University of London'",
"SELECT COUNT(T2.JournalId) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Academic Medicine' AND T2.Year BETWEEN 2005 AND 2010",
"SELECT T2.Title FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T1.HomePage = '' AND T2.Title <> ''"
]
} |