set
dict |
|---|
{
"query": "Among the patients who were immunized with meningococcal MCV4P, how many have viral sinusitis disorder after getting the immunization?",
"pos": [
"SELECT COUNT(DISTINCT T1.patient) FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'meningococcal MCV4P' AND T2.DESCRIPTION = 'Viral sinusitis (disorder)'"
],
"neg": [
"SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-15-3685'",
"SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Cystitis'",
"SELECT DISTINCT T1.first, T1.last, T1.suffix FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Yaz 28 Day Pack' AND strftime('%Y', T2.START) = '2011'",
"SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' GROUP BY T2.VALUE ORDER BY COUNT(T2.VALUE) LIMIT 5",
"SELECT COUNT(PATIENT) FROM allergies WHERE DESCRIPTION = 'Allergy to eggs'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS takenDays FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Berry' AND T1.last = 'Keebler' AND T2.REASONDESCRIPTION = 'Acute bronchitis (disorder)' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'",
"SELECT COUNT(PATIENT) FROM conditions WHERE DESCRIPTION = 'Diabetes' AND strftime('%Y', START) = '1988'",
"SELECT DISTINCT T2.first, T2.last FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Streptococcal sore throat (disorder)' LIMIT 5",
"SELECT CAST(SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'",
"SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Laronda' AND T1.last = 'Bernier' ORDER BY T2.DATE DESC LIMIT 1"
]
}
|
{
"query": "What percentage of patients born in 'Pembroke MA US' have 'allergy to grass pollen'?",
"pos": [
"SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Allergy to grass pollen' THEN 1 ELSE 0 END) AS REL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pembroke MA US'"
],
"neg": [
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Otitis media'",
"SELECT T2.first, T2.last FROM procedures AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Transplant of lung (procedure)'",
"SELECT DISTINCT T2.first, T2.last FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Streptococcal sore throat (disorder)' LIMIT 5",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS timeFrame , T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' ORDER BY T2.START DESC LIMIT 1",
"SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.gender = 'F' AND T1.DESCRIPTION = 'Prediabetes'",
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'black' AND strftime('%Y', T1.STOP) = '2017'",
"SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose' AND T1.address = '365 Della Crossroad Suite 202 Deerfield MA 01342 US'",
"SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.maiden = 'Adams'",
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08'",
"SELECT CAST(SUM(CASE WHEN T1.deathdate IS NULL THEN strftime('%Y', T2.STOP) - strftime('%Y', T1.birthdate) ELSE strftime('%Y', T1.deathdate) - strftime('%Y', T1.birthdate) END) AS REAL) / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Prediabetes'"
]
}
|
{
"query": "Name the reason Walter Bahringer visited medical professionals in July 2009.",
"pos": [
"SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Walter' AND T1.last = 'Bahringer' AND T2.DATE LIKE '2009-07%'"
],
"neg": [
"SELECT T2.description, T2.VALUE, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Vincent' AND T1.last = 'Wyman' AND T2.date = '2010-08-02' AND T2.description = 'Body Height'",
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08'",
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'F'",
"SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Laronda' AND T1.last = 'Bernier' ORDER BY T2.DATE DESC LIMIT 1",
"SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1",
"SELECT T1.DESCRIPTION FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL ORDER BY strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) DESC LIMIT 1",
"SELECT DISTINCT T1.REASONDESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Angelo' AND T2.last = 'Buckridge'",
"SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose' AND T1.address = '365 Della Crossroad Suite 202 Deerfield MA 01342 US'",
"SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Stacy' AND T1.last = 'Morar' AND T2.DESCRIPTION = 'Emergency Room Admission' AND T2.REASONDESCRIPTION = 'Drug overdose' ORDER BY T2.DATE LIMIT 1",
"SELECT T2.DESCRIPTION FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'Influenza seasonal injectable preservative free' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1"
]
}
|
{
"query": "How many immunizations did the patient with the most prevalent condition that started recently get?",
"pos": [
"SELECT COUNT(T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) INNER JOIN immunizations AS T3 ON T2.PATIENT = T3.PATIENT GROUP BY T2.PATIENT ORDER BY T2.START DESC, T1.\"PREVALENCE RATE\" DESC LIMIT 1"
],
"neg": [
"SELECT DESCRIPTION FROM medications WHERE REASONDESCRIPTION = 'Child attention deficit disorder' GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND strftime('%J', T2.STOP) - strftime('%J', T2.START) > 60",
"SELECT AVG(T2.VALUE), T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Weight'",
"SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-15-3685'",
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Shellfish allergy' AND CAST((strftime('%J', T1.deathdate) - strftime('%J', T1.birthdate)) AS REAL) / 365 < 12",
"SELECT COUNT(DISTINCT T2.code) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Saundra' AND T1.last = 'Monahan'",
"SELECT CAST(SUM(CASE WHEN T2.race = 'hispanic' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.stop) = '2011'",
"SELECT T1.DESCRIPTION FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL ORDER BY strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) DESC LIMIT 1",
"SELECT DISTINCT T2.first, T2.last FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Streptococcal sore throat (disorder)' LIMIT 5",
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'M'"
]
}
|
{
"query": "What is the percentage of Hispanic patients who stopped their care plan in 2011?",
"pos": [
"SELECT CAST(SUM(CASE WHEN T2.race = 'hispanic' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.stop) = '2011'"
],
"neg": [
"SELECT COUNT(DISTINCT T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN immunizations AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Allergy to eggs' AND T3.DESCRIPTION = 'Td (adult) preservative free'",
"SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose' AND T1.address = '365 Della Crossroad Suite 202 Deerfield MA 01342 US'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free'",
"SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Angelena' AND T1.last = 'Kertzmann' AND T2.description = 'Normal pregnancy'",
"SELECT strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) AS age FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Giovanni' AND T2.last = 'Russel' AND T1.DESCRIPTION = 'Hypertension'",
"SELECT T2.DESCRIPTION FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'Influenza seasonal injectable preservative free' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1",
"SELECT CASE WHEN SUBSTR(T1.STOP, -2, 1) != '9' THEN SUBSTR(T1.STOP, LENGTH(T1.STOP) - 1) + 2000 END - CASE WHEN SUBSTR(T1.START, -2, 1) = '9' THEN SUBSTR(T1.START, LENGTH(T1.START) - 1) + 1900 ELSE SUBSTR(T1.START, LENGTH(T1.START) - 1) + 2000 END AS years , T1.DESCRIPTION FROM allergies AS T1 INNER JOIN patients AS T2 ON T2.patient = T1.PATIENT WHERE T1.STOP IS NOT NULL AND T1.START IS NOT NULL AND T2.first = 'Isadora' AND T2.last = 'Moen'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Cystitis'",
"SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Wesley' AND T1.last = 'Lemke'",
"SELECT COUNT(DISTINCT T2.PATIENT), T2.DESCRIPTION FROM encounters AS T1 INNER JOIN careplans AS T2 ON T1.PATIENT = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Second degree burn'"
]
}
|
{
"query": "What is the age of the patient with hypertension named Giovanni Russel?",
"pos": [
"SELECT strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) AS age FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Giovanni' AND T2.last = 'Russel' AND T1.DESCRIPTION = 'Hypertension'"
],
"neg": [
"SELECT SUM(CASE WHEN T2.marital = 'M' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.marital = 'S' THEN 1 ELSE 0 END) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetes'",
"SELECT COUNT(DISTINCT CASE WHEN T2.gender = 'M' THEN T2.patient END) AS Male , COUNT(DISTINCT CASE WHEN T2.gender = 'F' THEN T2.patient END) AS Female FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Hypertension'",
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ethnicity = 'italian' AND T1.CODE = '304510005'",
"SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Wesley' AND T1.last = 'Lemke'",
"SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose' AND T1.address = '365 Della Crossroad Suite 202 Deerfield MA 01342 US'",
"SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Stacy' AND T1.last = 'Morar' AND T2.DESCRIPTION = 'Emergency Room Admission' AND T2.REASONDESCRIPTION = 'Drug overdose' ORDER BY T2.DATE LIMIT 1",
"SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NULL",
"SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-15-3685'",
"SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DATE = '2009-08-09'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND last = 'Koss' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'"
]
}
|
{
"query": "Describe the care plans received by the patient with secondary malignant neoplasm of the colon.",
"pos": [
"SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Secondary malignant neoplasm of colon'"
],
"neg": [
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.start = '2016-09-24' AND T2.stop = '2016-10-10'",
"SELECT SUM(CASE WHEN T2.marital = 'M' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.marital = 'S' THEN 1 ELSE 0 END) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetes'",
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Shellfish allergy' AND CAST((strftime('%J', T1.deathdate) - strftime('%J', T1.birthdate)) AS REAL) / 365 < 12",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND strftime('%J', T2.STOP) - strftime('%J', T2.START) > 60",
"SELECT DISTINCT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetic diet'",
"SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Emmy' AND T1.last = 'Waelchi'",
"SELECT CAST(SUM(CASE WHEN T5.DESCRIPTION = T3.DESCRIPTION THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.patient) FROM ( SELECT T2.DESCRIPTION, T1.patient FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE ROUND((strftime('%J', T2.START) - strftime('%J', T1.birthdate)) / 365) > 60 GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1 ) AS T3 INNER JOIN patients AS T4 ON T3.patient = T4.patient INNER JOIN conditions AS T5 ON T4.patient = T5.PATIENT WHERE ROUND((strftime('%J', T5.START) - strftime('%J', T4.birthdate)) / 365) > 60",
"SELECT CASE WHEN SUBSTR(T1.STOP, -2, 1) != '9' THEN SUBSTR(T1.STOP, LENGTH(T1.STOP) - 1) + 2000 END - CASE WHEN SUBSTR(T1.START, -2, 1) = '9' THEN SUBSTR(T1.START, LENGTH(T1.START) - 1) + 1900 ELSE SUBSTR(T1.START, LENGTH(T1.START) - 1) + 2000 END AS years , T1.DESCRIPTION FROM allergies AS T1 INNER JOIN patients AS T2 ON T2.patient = T1.PATIENT WHERE T1.STOP IS NOT NULL AND T1.START IS NOT NULL AND T2.first = 'Isadora' AND T2.last = 'Moen'",
"SELECT T2.description, T2.VALUE, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Vincent' AND T1.last = 'Wyman' AND T2.date = '2010-08-02' AND T2.description = 'Body Height'",
"SELECT CAST(SUM(CASE WHEN T2.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) FROM encounters AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.DATE) = '2010' AND T1.REASONDESCRIPTION = 'Contact dermatitis'"
]
}
|
{
"query": "What is the prevalence rate of the patients' diseases started on 9th May 2014?",
"pos": [
"SELECT T2.\"PREVALENCE RATE\" FROM conditions AS T1 INNER JOIN all_prevalences AS T2 ON lower(T1.DESCRIPTION) = lower(T2.ITEM) WHERE T1.START = '2014-05-09'"
],
"neg": [
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' AND T2.UNITS = 'kg/m2' ORDER BY T2.VALUE LIMIT 1",
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08'",
"SELECT DISTINCT T2.first, T2.last FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN all_prevalences AS T3 ON T1.DESCRIPTION = T3.ITEM WHERE T2.ethnicity = 'irish' AND 100 * CAST(T3.OCCURRENCES AS REAL) / ( SELECT AVG(OCCURRENCES) FROM all_prevalences ) > 96",
"SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Emmy' AND T1.last = 'Waelchi'",
"SELECT SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END), SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'",
"SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN allergies AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Asthma' AND T3.DESCRIPTION = 'Allergy to peanuts'",
"SELECT CAST(SUM(CASE WHEN T1.marital = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.description = 'Cystitis'",
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'M'",
"SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pittsfield MA US'",
"SELECT COUNT(T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) INNER JOIN immunizations AS T3 ON T2.PATIENT = T3.PATIENT GROUP BY T2.PATIENT ORDER BY T2.START DESC, T1.\"PREVALENCE RATE\" DESC LIMIT 1"
]
}
|
{
"query": "How old was Mrs. Laronda Bernier at the time of her most recent medical encounter?",
"pos": [
"SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Laronda' AND T1.last = 'Bernier' ORDER BY T2.DATE DESC LIMIT 1"
],
"neg": [
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.start = '2016-09-24' AND T2.stop = '2016-10-10'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND last = 'Koss' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'",
"SELECT COUNT(T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to peanuts' AND T2.race = 'asian'",
"SELECT CAST(SUM(CASE WHEN T2.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) AS percentage FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.START) = '2010'",
"SELECT DISTINCT T1.STOP FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL AND T1.STOP IS NOT NULL",
"SELECT DISTINCT T3.DESCRIPTION, T4.DESCRIPTION, T5.DESCRIPTION, T1.first, T1.last FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT INNER JOIN careplans AS T3 ON T1.patient = T3.PATIENT INNER JOIN procedures AS T4 ON T1.patient = T4.PATIENT INNER JOIN medications AS T5 ON T1.patient = T5.PATIENT WHERE T2.ID = '6f2e3935-b203-493e-a9c0-f23e847b9798'",
"SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.maiden = 'Adams'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free'",
"SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure' ORDER BY T2.VALUE DESC LIMIT 1",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = ' Amoxicillin 250 MG / Clavulanate 125 MG [Augmentin]' AND T1.first = 'Major' AND T1.last = 'D''Amore'"
]
}
|
{
"query": "How many male patients have been described as immune to quadrivalent HPV?",
"pos": [
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'M'"
],
"neg": [
"SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.maiden = 'Adams'",
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' AND T2.UNITS = 'kg/m2' ORDER BY T2.VALUE LIMIT 1",
"SELECT COUNT(T1.patient) , CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Prenatal visit' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Lorri' AND T1.last = 'Simonis' AND strftime('%Y', T2.DATE) BETWEEN '2010' AND '2017'",
"SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Stacy' AND T1.last = 'Morar' AND T2.DESCRIPTION = 'Emergency Room Admission' AND T2.REASONDESCRIPTION = 'Drug overdose' ORDER BY T2.DATE LIMIT 1",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Calcium' AND T2.VALUE < 8.6",
"SELECT T1.ssn, T1.address FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DATE = '2008-06-13' AND T2.REASONDESCRIPTION = 'Viral sinusitis (disorder)' AND T2.DESCRIPTION = 'Encounter for symptom'",
"SELECT T1.DESCRIPTION FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL ORDER BY strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) DESC LIMIT 1",
"SELECT DISTINCT T3.DESCRIPTION, T4.DESCRIPTION, T5.DESCRIPTION, T1.first, T1.last FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT INNER JOIN careplans AS T3 ON T1.patient = T3.PATIENT INNER JOIN procedures AS T4 ON T1.patient = T4.PATIENT INNER JOIN medications AS T5 ON T1.patient = T5.PATIENT WHERE T2.ID = '6f2e3935-b203-493e-a9c0-f23e847b9798'",
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT GROUP BY T1.patient ORDER BY COUNT(DISTINCT T2.DESCRIPTION) > 3",
"SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Normal pregnancy' AND T2.gender = 'F' AND T2.marital = 'S'"
]
}
|
{
"query": "How many patients have diabetes that started in 1988?",
"pos": [
"SELECT COUNT(PATIENT) FROM conditions WHERE DESCRIPTION = 'Diabetes' AND strftime('%Y', START) = '1988'"
],
"neg": [
"SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Cystitis'",
"SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' AND T1.first = 'Joye' AND T1.last = 'Homenick' ORDER BY T2.DATE DESC LIMIT 1",
"SELECT DISTINCT T1.DESCRIPTION, T3.DESCRIPTION FROM procedures AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN medications AS T3 ON T2.patient = T3.PATIENT WHERE T2.DESCRIPTION = 'Third degree burn'",
"SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%'",
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ethnicity = 'italian' AND T1.CODE = '304510005'",
"SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Wesley' AND T1.last = 'Lemke'",
"SELECT CAST(SUM(CASE WHEN T2.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) AS percentage FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.START) = '2010'",
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Shellfish allergy' AND CAST((strftime('%J', T1.deathdate) - strftime('%J', T1.birthdate)) AS REAL) / 365 < 12",
"SELECT DISTINCT T1.REASONDESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Angelo' AND T2.last = 'Buckridge'"
]
}
|
{
"query": "What is the total number of Asian patients who are allergic to peanuts?",
"pos": [
"SELECT COUNT(T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to peanuts' AND T2.race = 'asian'"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG'",
"SELECT DISTINCT T1.REASONDESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Angelo' AND T2.last = 'Buckridge'",
"SELECT T2.DESCRIPTION FROM allergies AS T1 INNER JOIN medications AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.START = '6/6/16' AND T1.DESCRIPTION = 'Allergy to mould'",
"SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Wesley' AND T1.last = 'Lemke'",
"SELECT COUNT(DISTINCT T1.patient) FROM careplans AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'rotavirus monovalent' AND T1.STOP = '2013-11-23'",
"SELECT CAST(SUM(CASE WHEN T1.deathdate IS NULL THEN strftime('%Y', T2.STOP) - strftime('%Y', T1.birthdate) ELSE strftime('%Y', T1.deathdate) - strftime('%Y', T1.birthdate) END) AS REAL) / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Prediabetes'",
"SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Cystitis'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to nut'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS timeFrame , T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' ORDER BY T2.START DESC LIMIT 1",
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN observations AS T3 ON T2.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'Body Weight' AND T1.DESCRIPTION = 'Diabetes self management plan' AND T3.VALUE > 100 AND T3.UNITS = 'kg'"
]
}
|
{
"query": "How many Italian patients have the care plan code of 304510005?",
"pos": [
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ethnicity = 'italian' AND T1.CODE = '304510005'"
],
"neg": [
"SELECT DISTINCT T2.first, T2.last FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN all_prevalences AS T3 ON T1.DESCRIPTION = T3.ITEM WHERE T2.ethnicity = 'irish' AND 100 * CAST(T3.OCCURRENCES AS REAL) / ( SELECT AVG(OCCURRENCES) FROM all_prevalences ) > 96",
"SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Allergy to grass pollen' THEN 1 ELSE 0 END) AS REL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pembroke MA US'",
"SELECT strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) AS age FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Giovanni' AND T2.last = 'Russel' AND T1.DESCRIPTION = 'Hypertension'",
"SELECT DESCRIPTION FROM medications WHERE REASONDESCRIPTION = 'Child attention deficit disorder' GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T1.deathdate IS NULL THEN strftime('%Y', T2.STOP) - strftime('%Y', T1.birthdate) ELSE strftime('%Y', T1.deathdate) - strftime('%Y', T1.birthdate) END) AS REAL) / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Prediabetes'",
"SELECT COUNT(DISTINCT T1.patient) FROM careplans AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'rotavirus monovalent' AND T1.STOP = '2013-11-23'",
"SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Angelena' AND T1.last = 'Kertzmann' AND T2.description = 'Normal pregnancy'",
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'black' AND strftime('%Y', T1.STOP) = '2017'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND last = 'Koss' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'",
"SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss'"
]
}
|
{
"query": "State the prevalence rate of condition no. 368581000119106.",
"pos": [
"SELECT DISTINCT T1.\"PREVALENCE RATE\" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '368581000119106'"
],
"neg": [
"SELECT DISTINCT T3.DESCRIPTION, T4.DESCRIPTION, T5.DESCRIPTION, T1.first, T1.last FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT INNER JOIN careplans AS T3 ON T1.patient = T3.PATIENT INNER JOIN procedures AS T4 ON T1.patient = T4.PATIENT INNER JOIN medications AS T5 ON T1.patient = T5.PATIENT WHERE T2.ID = '6f2e3935-b203-493e-a9c0-f23e847b9798'",
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ethnicity = 'italian' AND T1.CODE = '304510005'",
"SELECT T2.DESCRIPTION FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'Influenza seasonal injectable preservative free' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1",
"SELECT COUNT(DISTINCT T2.PATIENT), T2.DESCRIPTION FROM encounters AS T1 INNER JOIN careplans AS T2 ON T1.PATIENT = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Second degree burn'",
"SELECT COUNT(DISTINCT T2.PATIENT) FROM encounters AS T1 INNER JOIN immunizations AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.REASONDESCRIPTION = 'Normal pregnancy' AND T1.DATE = T2.DATE",
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT GROUP BY T1.patient ORDER BY COUNT(DISTINCT T2.DESCRIPTION) > 3",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS takenDays FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Berry' AND T1.last = 'Keebler' AND T2.REASONDESCRIPTION = 'Acute bronchitis (disorder)' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'",
"SELECT DISTINCT T1.STOP FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL AND T1.STOP IS NOT NULL",
"SELECT COUNT(DISTINCT T2.code) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Saundra' AND T1.last = 'Monahan'",
"SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' GROUP BY T2.VALUE ORDER BY COUNT(T2.VALUE) LIMIT 5"
]
}
|
{
"query": "How many male patients are diagnosed with hypertension as compared to female patients?",
"pos": [
"SELECT COUNT(DISTINCT CASE WHEN T2.gender = 'M' THEN T2.patient END) AS Male , COUNT(DISTINCT CASE WHEN T2.gender = 'F' THEN T2.patient END) AS Female FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Hypertension'"
],
"neg": [
"SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Angelena' AND T1.last = 'Kertzmann' AND T2.description = 'Normal pregnancy'",
"SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Normal pregnancy'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Otitis media'",
"SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG'",
"SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' AND T1.first = 'Elly' AND T1.last = 'Koss'",
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-94-3751'",
"SELECT COUNT(DISTINCT T2.PATIENT), T2.DESCRIPTION FROM encounters AS T1 INNER JOIN careplans AS T2 ON T1.PATIENT = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Second degree burn'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Cystitis'",
"SELECT DISTINCT T2.DESCRIPTION, T3.DESCRIPTION FROM encounters AS T1 INNER JOIN procedures AS T2 ON T1.PATIENT = T2.PATIENT INNER JOIN medications AS T3 ON T1.PATIENT = T3.PATIENT WHERE T1.REASONDESCRIPTION = 'Drug overdose'",
"SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NULL"
]
}
|
{
"query": "List out full name of patients who have \"Diabetic diet\" in the description of the care plan.",
"pos": [
"SELECT DISTINCT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetic diet'"
],
"neg": [
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' AND T2.UNITS = 'kg/m2' ORDER BY T2.VALUE LIMIT 1",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Otitis media'",
"SELECT DISTINCT T1.REASONDESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Angelo' AND T2.last = 'Buckridge'",
"SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' GROUP BY T2.VALUE ORDER BY COUNT(T2.VALUE) LIMIT 5",
"SELECT COUNT(PATIENT) FROM conditions WHERE DESCRIPTION = 'Diabetes' AND strftime('%Y', START) = '1988'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND strftime('%J', T2.STOP) - strftime('%J', T2.START) > 60",
"SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DATE = '2009-08-09'",
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'F'",
"SELECT DISTINCT T1.\"PREVALENCE RATE\" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '368581000119106'",
"SELECT COUNT(DISTINCT T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN immunizations AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Allergy to eggs' AND T3.DESCRIPTION = 'Td (adult) preservative free'"
]
}
|
{
"query": "State description of medication taken by Joe Homenick.",
"pos": [
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick'"
],
"neg": [
"SELECT COUNT(DISTINCT CASE WHEN T2.gender = 'M' THEN T2.patient END) AS Male , COUNT(DISTINCT CASE WHEN T2.gender = 'F' THEN T2.patient END) AS Female FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Hypertension'",
"SELECT T2.\"PREVALENCE RATE\" FROM conditions AS T1 INNER JOIN all_prevalences AS T2 ON lower(T1.DESCRIPTION) = lower(T2.ITEM) WHERE T1.START = '2014-05-09'",
"SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Allergy to grass pollen' THEN 1 ELSE 0 END) AS REL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pembroke MA US'",
"SELECT SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END), SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'",
"SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss'",
"SELECT COUNT(PATIENT) FROM conditions WHERE DESCRIPTION = 'Diabetes' AND strftime('%Y', START) = '1988'",
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08'",
"SELECT COUNT(PATIENT) FROM allergies WHERE DESCRIPTION = 'Allergy to eggs'",
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'F'",
"SELECT DISTINCT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetic diet'"
]
}
|
{
"query": "How many black patients stopped their care plan in 2017?",
"pos": [
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'black' AND strftime('%Y', T1.STOP) = '2017'"
],
"neg": [
"SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-15-3685'",
"SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Joye' AND T1.last = 'Homenick' AND strftime('%Y', T2.START) = '2017'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE T2.DESCRIPTION = 'Cystitis'",
"SELECT DISTINCT T1.ENCOUNTER FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.birthplace = 'Pembroke MA US'",
"SELECT CAST(SUM(CASE WHEN T2.gender = 'F' AND T2.race = 'asian' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.gender) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Acute bronchitis (disorder)'",
"SELECT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.DESCRIPTION = 'Body Weight'",
"SELECT DISTINCT T2.CODE, T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DESCRIPTION = 'Influenza seasonal injectable preservative free'",
"SELECT COUNT(DISTINCT T2.PATIENT), T2.DESCRIPTION FROM encounters AS T1 INNER JOIN careplans AS T2 ON T1.PATIENT = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Second degree burn'",
"SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.maiden = 'Adams'",
"SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Emmy' AND T1.last = 'Waelchi'"
]
}
|
{
"query": "List 5 patients' name that need medication due to streptococcal sore throat disorder.",
"pos": [
"SELECT DISTINCT T2.first, T2.last FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Streptococcal sore throat (disorder)' LIMIT 5"
],
"neg": [
"SELECT COUNT(DISTINCT T2.PATIENT), T2.DESCRIPTION FROM encounters AS T1 INNER JOIN careplans AS T2 ON T1.PATIENT = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Second degree burn'",
"SELECT DISTINCT T2.CODE, T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DESCRIPTION = 'Influenza seasonal injectable preservative free'",
"SELECT DISTINCT T1.\"PREVALENCE RATE\" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '368581000119106'",
"SELECT COUNT(T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) INNER JOIN immunizations AS T3 ON T2.PATIENT = T3.PATIENT GROUP BY T2.PATIENT ORDER BY T2.START DESC, T1.\"PREVALENCE RATE\" DESC LIMIT 1",
"SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' AND T1.first = 'Elly' AND T1.last = 'Koss'",
"SELECT COUNT(T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to peanuts' AND T2.race = 'asian'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Otitis media'",
"SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Allergy to grass pollen' THEN 1 ELSE 0 END) AS REL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pembroke MA US'",
"SELECT COUNT(DISTINCT T2.PATIENT) FROM encounters AS T1 INNER JOIN immunizations AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.REASONDESCRIPTION = 'Normal pregnancy' AND T1.DATE = T2.DATE",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE T2.DESCRIPTION = 'Cystitis'"
]
}
|
{
"query": "How many patients are allergic to eggs?",
"pos": [
"SELECT COUNT(PATIENT) FROM allergies WHERE DESCRIPTION = 'Allergy to eggs'"
],
"neg": [
"SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1",
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick'",
"SELECT COUNT(DISTINCT T2.code) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Saundra' AND T1.last = 'Monahan'",
"SELECT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.DESCRIPTION = 'Body Weight'",
"SELECT DISTINCT T1.REASONDESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Angelo' AND T2.last = 'Buckridge'",
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.start = '2016-09-24' AND T2.stop = '2016-10-10'",
"SELECT COUNT(DISTINCT T2.PATIENT), T2.DESCRIPTION FROM encounters AS T1 INNER JOIN careplans AS T2 ON T1.PATIENT = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Second degree burn'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to nut'",
"SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Stacy' AND T1.last = 'Morar' AND T2.DESCRIPTION = 'Emergency Room Admission' AND T2.REASONDESCRIPTION = 'Drug overdose' ORDER BY T2.DATE LIMIT 1",
"SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Walter' AND T1.last = 'Bahringer' AND T2.DATE LIKE '2009-07%'"
]
}
|
{
"query": "How long did Isadora Moen's allergy last? Tell me what kind of allergy she has.",
"pos": [
"SELECT CASE WHEN SUBSTR(T1.STOP, -2, 1) != '9' THEN SUBSTR(T1.STOP, LENGTH(T1.STOP) - 1) + 2000 END - CASE WHEN SUBSTR(T1.START, -2, 1) = '9' THEN SUBSTR(T1.START, LENGTH(T1.START) - 1) + 1900 ELSE SUBSTR(T1.START, LENGTH(T1.START) - 1) + 2000 END AS years , T1.DESCRIPTION FROM allergies AS T1 INNER JOIN patients AS T2 ON T2.patient = T1.PATIENT WHERE T1.STOP IS NOT NULL AND T1.START IS NOT NULL AND T2.first = 'Isadora' AND T2.last = 'Moen'"
],
"neg": [
"SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Secondary malignant neoplasm of colon'",
"SELECT COUNT(DISTINCT T2.PATIENT), T2.DESCRIPTION FROM encounters AS T1 INNER JOIN careplans AS T2 ON T1.PATIENT = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Second degree burn'",
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'M'",
"SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG'",
"SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss'",
"SELECT DISTINCT T2.first, T2.last FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN all_prevalences AS T3 ON T1.DESCRIPTION = T3.ITEM WHERE T2.ethnicity = 'irish' AND 100 * CAST(T3.OCCURRENCES AS REAL) / ( SELECT AVG(OCCURRENCES) FROM all_prevalences ) > 96",
"SELECT SUM(CASE WHEN T2.marital = 'M' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.marital = 'S' THEN 1 ELSE 0 END) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetes'",
"SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Normal pregnancy' AND T2.gender = 'F' AND T2.marital = 'S'",
"SELECT COUNT(DISTINCT T2.PATIENT) FROM encounters AS T1 INNER JOIN immunizations AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.REASONDESCRIPTION = 'Normal pregnancy' AND T1.DATE = T2.DATE",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS timeFrame , T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' ORDER BY T2.START DESC LIMIT 1"
]
}
|
{
"query": "List all the full names of patients with a condition described as cystitis.",
"pos": [
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE T2.DESCRIPTION = 'Cystitis'"
],
"neg": [
"SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Stacy' AND T1.last = 'Morar' AND T2.DESCRIPTION = 'Emergency Room Admission' AND T2.REASONDESCRIPTION = 'Drug overdose' ORDER BY T2.DATE LIMIT 1",
"SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%'",
"SELECT T2.REASONDESCRIPTION, T2.DESCRIPTION , strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days , CASE WHEN T1.deathdate IS NULL THEN 'alive' ELSE 'dead' END FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.ENCOUNTER = '23c293ec-dbae-4a22-896e-f12cf3c8bac3'",
"SELECT DISTINCT T1.DESCRIPTION, T3.DESCRIPTION FROM procedures AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN medications AS T3 ON T2.patient = T3.PATIENT WHERE T2.DESCRIPTION = 'Third degree burn'",
"SELECT T1.ssn, T1.address FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DATE = '2008-06-13' AND T2.REASONDESCRIPTION = 'Viral sinusitis (disorder)' AND T2.DESCRIPTION = 'Encounter for symptom'",
"SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Tyree' AND T1.last = 'Eichmann'",
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS timeFrame , T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' ORDER BY T2.START DESC LIMIT 1",
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.start = '2016-09-24' AND T2.stop = '2016-10-10'",
"SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DATE = '2009-08-09'"
]
}
|
{
"query": "How long did Elly Koss have to take Acetaminophen 160 MG?",
"pos": [
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND last = 'Koss' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'"
],
"neg": [
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-94-3751'",
"SELECT COUNT(DISTINCT T2.code) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Saundra' AND T1.last = 'Monahan'",
"SELECT COUNT(DISTINCT T2.PATIENT), T2.DESCRIPTION FROM encounters AS T1 INNER JOIN careplans AS T2 ON T1.PATIENT = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Second degree burn'",
"SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Normal pregnancy' AND T2.gender = 'F' AND T2.marital = 'S'",
"SELECT SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END), SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%'",
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'black' AND strftime('%Y', T1.STOP) = '2017'",
"SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' GROUP BY T2.VALUE ORDER BY COUNT(T2.VALUE) LIMIT 5",
"SELECT COUNT(T2.BILLABLEPERIOD) FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Abbie' AND T1.last = 'Cole' AND T2.BILLABLEPERIOD BETWEEN '2010-12-31' AND '2012-01-01'",
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.ethnicity = 'german' AND T2.DATE BETWEEN '2011-01-09' AND '2012-08-29' AND T2.DESCRIPTION = 'Outpatient Encounter'"
]
}
|
{
"query": "What is the most common allergy among patients?",
"pos": [
"SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1"
],
"neg": [
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND strftime('%J', T2.STOP) - strftime('%J', T2.START) > 60",
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-94-3751'",
"SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Allergy to grass pollen' THEN 1 ELSE 0 END) AS REL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pembroke MA US'",
"SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Tyree' AND T1.last = 'Eichmann'",
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to nut'",
"SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG'",
"SELECT SUM(CASE WHEN T2.marital = 'M' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.marital = 'S' THEN 1 ELSE 0 END) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetes'",
"SELECT COUNT(T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to peanuts' AND T2.race = 'asian'",
"SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' AND T1.first = 'Joye' AND T1.last = 'Homenick' ORDER BY T2.DATE DESC LIMIT 1"
]
}
|
{
"query": "Which procedures and medications were received by the patient with the third-degree burn?",
"pos": [
"SELECT DISTINCT T1.DESCRIPTION, T3.DESCRIPTION FROM procedures AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN medications AS T3 ON T2.patient = T3.PATIENT WHERE T2.DESCRIPTION = 'Third degree burn'"
],
"neg": [
"SELECT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.DESCRIPTION = 'Body Weight'",
"SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.gender = 'F' AND T1.ethnicity = 'american' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1",
"SELECT AVG(T2.VALUE), T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Weight'",
"SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG'",
"SELECT CAST(SUM(CASE WHEN T2.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) AS percentage FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.START) = '2010'",
"SELECT T2.DESCRIPTION FROM allergies AS T1 INNER JOIN medications AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.START = '6/6/16' AND T1.DESCRIPTION = 'Allergy to mould'",
"SELECT DISTINCT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetic diet'",
"SELECT DESCRIPTION FROM medications WHERE REASONDESCRIPTION = 'Child attention deficit disorder' GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1",
"SELECT T2.description, T2.VALUE, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Vincent' AND T1.last = 'Wyman' AND T2.date = '2010-08-02' AND T2.description = 'Body Height'",
"SELECT COUNT(PATIENT) FROM conditions WHERE DESCRIPTION = 'Diabetes' AND strftime('%Y', START) = '1988'"
]
}
|
{
"query": "What drug is administered more often to treat child attention deficit disorder?",
"pos": [
"SELECT DESCRIPTION FROM medications WHERE REASONDESCRIPTION = 'Child attention deficit disorder' GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1"
],
"neg": [
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'M'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free'",
"SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss'",
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'F'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Calcium' AND T2.VALUE < 8.6",
"SELECT CAST(SUM(CASE WHEN T2.race = 'hispanic' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.stop) = '2011'",
"SELECT DISTINCT T1.ENCOUNTER FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.birthplace = 'Pembroke MA US'",
"SELECT DISTINCT T3.DESCRIPTION, T4.DESCRIPTION, T5.DESCRIPTION, T1.first, T1.last FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT INNER JOIN careplans AS T3 ON T1.patient = T3.PATIENT INNER JOIN procedures AS T4 ON T1.patient = T4.PATIENT INNER JOIN medications AS T5 ON T1.patient = T5.PATIENT WHERE T2.ID = '6f2e3935-b203-493e-a9c0-f23e847b9798'",
"SELECT T1.DESCRIPTION FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL ORDER BY strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) DESC LIMIT 1",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Cystitis'"
]
}
|
{
"query": "List the procedures received by Emmy Waelchi.",
"pos": [
"SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Emmy' AND T1.last = 'Waelchi'"
],
"neg": [
"SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pittsfield MA US'",
"SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE T2.DESCRIPTION = 'Cystitis'",
"SELECT CAST(SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'",
"SELECT COUNT(PATIENT) FROM conditions WHERE DESCRIPTION = 'Diabetes' AND strftime('%Y', START) = '1988'",
"SELECT DISTINCT T2.first, T2.last FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Streptococcal sore throat (disorder)' LIMIT 5",
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick'",
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-94-3751'",
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT GROUP BY T1.patient ORDER BY COUNT(DISTINCT T2.DESCRIPTION) > 3",
"SELECT COUNT(DISTINCT T1.patient) FROM careplans AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'rotavirus monovalent' AND T1.STOP = '2013-11-23'"
]
}
|
{
"query": "During all the observations of Elly Koss, what was the highest Systolic Blood Pressure observed?",
"pos": [
"SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure' ORDER BY T2.VALUE DESC LIMIT 1"
],
"neg": [
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-94-3751'",
"SELECT DISTINCT T1.first, T1.last, T1.suffix FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Yaz 28 Day Pack' AND strftime('%Y', T2.START) = '2011'",
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN observations AS T3 ON T2.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'Body Weight' AND T1.DESCRIPTION = 'Diabetes self management plan' AND T3.VALUE > 100 AND T3.UNITS = 'kg'",
"SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Walter' AND T1.last = 'Bahringer' AND T2.DATE LIKE '2009-07%'",
"SELECT DISTINCT T1.ENCOUNTER FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.birthplace = 'Pembroke MA US'",
"SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' AND T1.first = 'Joye' AND T1.last = 'Homenick' ORDER BY T2.DATE DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T2.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) FROM encounters AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.DATE) = '2010' AND T1.REASONDESCRIPTION = 'Contact dermatitis'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Otitis media'",
"SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Secondary malignant neoplasm of colon'",
"SELECT SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END), SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'"
]
}
|
{
"query": "Indicate the full name of the patients who have 3 different allergies.",
"pos": [
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT GROUP BY T1.patient ORDER BY COUNT(DISTINCT T2.DESCRIPTION) > 3"
],
"neg": [
"SELECT COUNT(DISTINCT T1.patient) FROM careplans AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'rotavirus monovalent' AND T1.STOP = '2013-11-23'",
"SELECT CAST(SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'",
"SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose' AND T1.address = '365 Della Crossroad Suite 202 Deerfield MA 01342 US'",
"SELECT T2.REASONDESCRIPTION, T2.DESCRIPTION , strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days , CASE WHEN T1.deathdate IS NULL THEN 'alive' ELSE 'dead' END FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.ENCOUNTER = '23c293ec-dbae-4a22-896e-f12cf3c8bac3'",
"SELECT T2.description, T2.VALUE, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Vincent' AND T1.last = 'Wyman' AND T2.date = '2010-08-02' AND T2.description = 'Body Height'",
"SELECT COUNT(T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) INNER JOIN immunizations AS T3 ON T2.PATIENT = T3.PATIENT GROUP BY T2.PATIENT ORDER BY T2.START DESC, T1.\"PREVALENCE RATE\" DESC LIMIT 1",
"SELECT AVG(T2.VALUE), T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Weight'",
"SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1",
"SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'M'",
"SELECT DISTINCT T1.\"PREVALENCE RATE\" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '368581000119106'"
]
}
|
{
"query": "How many interactions did Lorri Simons have with medical professionals between 2010 and 2017? What percentage of encounters are attributed to prenatal visits?",
"pos": [
"SELECT COUNT(T1.patient) , CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Prenatal visit' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Lorri' AND T1.last = 'Simonis' AND strftime('%Y', T2.DATE) BETWEEN '2010' AND '2017'"
],
"neg": [
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.start = '2016-09-24' AND T2.stop = '2016-10-10'",
"SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pittsfield MA US'",
"SELECT DISTINCT T1.ENCOUNTER FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.birthplace = 'Pembroke MA US'",
"SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08'",
"SELECT strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) AS age FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Giovanni' AND T2.last = 'Russel' AND T1.DESCRIPTION = 'Hypertension'",
"SELECT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.DESCRIPTION = 'Body Weight'",
"SELECT COUNT(DISTINCT CASE WHEN T2.gender = 'M' THEN T2.patient END) AS Male , COUNT(DISTINCT CASE WHEN T2.gender = 'F' THEN T2.patient END) AS Female FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Hypertension'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Calcium' AND T2.VALUE < 8.6",
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT GROUP BY T1.patient ORDER BY COUNT(DISTINCT T2.DESCRIPTION) > 3",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free'"
]
}
|
{
"query": "List the full names of patients with nut allergy.",
"pos": [
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to nut'"
],
"neg": [
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'black' AND strftime('%Y', T1.STOP) = '2017'",
"SELECT T2.first, T2.last FROM procedures AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Transplant of lung (procedure)'",
"SELECT DISTINCT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetic diet'",
"SELECT DISTINCT T3.DESCRIPTION, T4.DESCRIPTION, T5.DESCRIPTION, T1.first, T1.last FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT INNER JOIN careplans AS T3 ON T1.patient = T3.PATIENT INNER JOIN procedures AS T4 ON T1.patient = T4.PATIENT INNER JOIN medications AS T5 ON T1.patient = T5.PATIENT WHERE T2.ID = '6f2e3935-b203-493e-a9c0-f23e847b9798'",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = ' Amoxicillin 250 MG / Clavulanate 125 MG [Augmentin]' AND T1.first = 'Major' AND T1.last = 'D''Amore'",
"SELECT CASE WHEN SUBSTR(T1.STOP, -2, 1) != '9' THEN SUBSTR(T1.STOP, LENGTH(T1.STOP) - 1) + 2000 END - CASE WHEN SUBSTR(T1.START, -2, 1) = '9' THEN SUBSTR(T1.START, LENGTH(T1.START) - 1) + 1900 ELSE SUBSTR(T1.START, LENGTH(T1.START) - 1) + 2000 END AS years , T1.DESCRIPTION FROM allergies AS T1 INNER JOIN patients AS T2 ON T2.patient = T1.PATIENT WHERE T1.STOP IS NOT NULL AND T1.START IS NOT NULL AND T2.first = 'Isadora' AND T2.last = 'Moen'",
"SELECT CAST(SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'",
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND strftime('%J', T2.STOP) - strftime('%J', T2.START) > 60",
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick'",
"SELECT CAST(SUM(CASE WHEN T1.marital = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.description = 'Cystitis'"
]
}
|
{
"query": "How many conditions did Tyree Eichmann have?",
"pos": [
"SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Tyree' AND T1.last = 'Eichmann'"
],
"neg": [
"SELECT DISTINCT T2.first, T2.last FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Streptococcal sore throat (disorder)' LIMIT 5",
"SELECT T2.REASONDESCRIPTION, T2.DESCRIPTION , strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days , CASE WHEN T1.deathdate IS NULL THEN 'alive' ELSE 'dead' END FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.ENCOUNTER = '23c293ec-dbae-4a22-896e-f12cf3c8bac3'",
"SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG'",
"SELECT CAST(SUM(CASE WHEN T5.DESCRIPTION = T3.DESCRIPTION THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.patient) FROM ( SELECT T2.DESCRIPTION, T1.patient FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE ROUND((strftime('%J', T2.START) - strftime('%J', T1.birthdate)) / 365) > 60 GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1 ) AS T3 INNER JOIN patients AS T4 ON T3.patient = T4.patient INNER JOIN conditions AS T5 ON T4.patient = T5.PATIENT WHERE ROUND((strftime('%J', T5.START) - strftime('%J', T4.birthdate)) / 365) > 60",
"SELECT DISTINCT T1.STOP FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL AND T1.STOP IS NOT NULL",
"SELECT AVG(T2.VALUE), T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Weight'",
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick'",
"SELECT COUNT(DISTINCT T2.PATIENT) FROM encounters AS T1 INNER JOIN immunizations AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.REASONDESCRIPTION = 'Normal pregnancy' AND T1.DATE = T2.DATE",
"SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Laronda' AND T1.last = 'Bernier' ORDER BY T2.DATE DESC LIMIT 1",
"SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' AND T1.first = 'Elly' AND T1.last = 'Koss'"
]
}
|
{
"query": "What is the care plan, procedure, medication and the patient's full name for encounter 6f2e3935-b203-493e-a9c0-f23e847b9798?",
"pos": [
"SELECT DISTINCT T3.DESCRIPTION, T4.DESCRIPTION, T5.DESCRIPTION, T1.first, T1.last FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT INNER JOIN careplans AS T3 ON T1.patient = T3.PATIENT INNER JOIN procedures AS T4 ON T1.patient = T4.PATIENT INNER JOIN medications AS T5 ON T1.patient = T5.PATIENT WHERE T2.ID = '6f2e3935-b203-493e-a9c0-f23e847b9798'"
],
"neg": [
"SELECT T2.REASONDESCRIPTION, T2.DESCRIPTION , strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days , CASE WHEN T1.deathdate IS NULL THEN 'alive' ELSE 'dead' END FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.ENCOUNTER = '23c293ec-dbae-4a22-896e-f12cf3c8bac3'",
"SELECT T1.ssn, T1.address FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DATE = '2008-06-13' AND T2.REASONDESCRIPTION = 'Viral sinusitis (disorder)' AND T2.DESCRIPTION = 'Encounter for symptom'",
"SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' AND T1.first = 'Joye' AND T1.last = 'Homenick' ORDER BY T2.DATE DESC LIMIT 1",
"SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NULL",
"SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'black' AND strftime('%Y', T1.STOP) = '2017'",
"SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DATE = '2009-08-09'",
"SELECT DISTINCT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetic diet'",
"SELECT T2.DESCRIPTION FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'Influenza seasonal injectable preservative free' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1",
"SELECT CASE WHEN SUBSTR(T1.STOP, -2, 1) != '9' THEN SUBSTR(T1.STOP, LENGTH(T1.STOP) - 1) + 2000 END - CASE WHEN SUBSTR(T1.START, -2, 1) = '9' THEN SUBSTR(T1.START, LENGTH(T1.START) - 1) + 1900 ELSE SUBSTR(T1.START, LENGTH(T1.START) - 1) + 2000 END AS years , T1.DESCRIPTION FROM allergies AS T1 INNER JOIN patients AS T2 ON T2.patient = T1.PATIENT WHERE T1.STOP IS NOT NULL AND T1.START IS NOT NULL AND T2.first = 'Isadora' AND T2.last = 'Moen'",
"SELECT COUNT(DISTINCT T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN immunizations AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Allergy to eggs' AND T3.DESCRIPTION = 'Td (adult) preservative free'"
]
}
|
{
"query": "List the full name of all patients with 'otitis media'.",
"pos": [
"SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Otitis media'"
],
"neg": [
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick'",
"SELECT DISTINCT T1.DESCRIPTION, T3.DESCRIPTION FROM procedures AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN medications AS T3 ON T2.patient = T3.PATIENT WHERE T2.DESCRIPTION = 'Third degree burn'",
"SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Normal pregnancy'",
"SELECT DISTINCT T2.first, T2.last FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN all_prevalences AS T3 ON T1.DESCRIPTION = T3.ITEM WHERE T2.ethnicity = 'irish' AND 100 * CAST(T3.OCCURRENCES AS REAL) / ( SELECT AVG(OCCURRENCES) FROM all_prevalences ) > 96",
"SELECT DESCRIPTION FROM medications WHERE REASONDESCRIPTION = 'Child attention deficit disorder' GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1",
"SELECT AVG(T2.VALUE), T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Weight'",
"SELECT COUNT(T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to peanuts' AND T2.race = 'asian'",
"SELECT T2.DESCRIPTION FROM allergies AS T1 INNER JOIN medications AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.START = '6/6/16' AND T1.DESCRIPTION = 'Allergy to mould'",
"SELECT CAST(SUM(CASE WHEN T1.deathdate IS NULL THEN strftime('%Y', T2.STOP) - strftime('%Y', T1.birthdate) ELSE strftime('%Y', T1.deathdate) - strftime('%Y', T1.birthdate) END) AS REAL) / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Prediabetes'",
"SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Walter' AND T1.last = 'Bahringer' AND T2.DATE LIKE '2009-07%'"
]
}
|
{
"query": "How many patients immunized against 'monovalent rotavirus' ceased their care plan on 11/23/2013?",
"pos": [
"SELECT COUNT(DISTINCT T1.patient) FROM careplans AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'rotavirus monovalent' AND T1.STOP = '2013-11-23'"
],
"neg": [
"SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Stacy' AND T1.last = 'Morar' AND T2.DESCRIPTION = 'Emergency Room Admission' AND T2.REASONDESCRIPTION = 'Drug overdose' ORDER BY T2.DATE LIMIT 1",
"SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick'",
"SELECT AVG(T2.VALUE), T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Weight'",
"SELECT COUNT(DISTINCT T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN immunizations AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Allergy to eggs' AND T3.DESCRIPTION = 'Td (adult) preservative free'",
"SELECT COUNT(PATIENT) FROM allergies WHERE DESCRIPTION = 'Allergy to eggs'",
"SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' AND T1.first = 'Elly' AND T1.last = 'Koss'",
"SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Emmy' AND T1.last = 'Waelchi'",
"SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Shellfish allergy' AND CAST((strftime('%J', T1.deathdate) - strftime('%J', T1.birthdate)) AS REAL) / 365 < 12",
"SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS takenDays FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Berry' AND T1.last = 'Keebler' AND T2.REASONDESCRIPTION = 'Acute bronchitis (disorder)' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'",
"SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1"
]
}
|
{
"query": "Among the devices with event no.2 happening, how many of them are vivo devices?",
"pos": [
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' AND T2.event_id = 2"
],
"neg": [
"SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age ) )",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T2.phone_brand = 'HTC'",
"SELECT SUM(IIF(T1.phone_brand = 'OPPO', 1, 0)) / SUM(IIF(T1.device_id = 'R815T', 1, 0)) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE STRFTIME('%Y', T2.timestamp) = '2016' AND T1.`group` = 'M23-26'",
"SELECT gender FROM gender_age WHERE device_id = -9222956879900150000",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'",
"SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016' AND device_id = 29182687948017100"
]
}
|
{
"query": "On what date were the most events logged on devices for 40-year-old male users?",
"pos": [
"SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1"
],
"neg": [
"SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F' GROUP BY T1.event_id, T2.age ORDER BY T2.age LIMIT 1",
"SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-01 00:55:25'",
"SELECT SUM(IIF(T1.age < 50, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO'",
"SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30",
"SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'",
"SELECT COUNT(app_id) FROM app_events WHERE is_installed = 1 AND is_active = 0",
"SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000",
"SELECT COUNT(T1.app_id), T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T1.event_id = 79641 GROUP BY T2.longitude, T2.latitude",
"SELECT IIF(SUM(IIF(T2.category = 'Securities', 1, 0)) - SUM(IIF(T2.category = 'Finance', 1, 0)) > 0, 'Securities', 'Finance') AS diff FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id"
]
}
|
{
"query": "How many models does the VIVO phone brand released?",
"pos": [
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'"
],
"neg": [
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT T1.longitude, T1.latitude FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T4.category FROM events_relevant AS T1 INNER JOIN app_events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN app_labels AS T3 ON T3.app_id = T2.app_id INNER JOIN label_categories AS T4 ON T3.label_id = T4.label_id ORDER BY T1.timestamp LIMIT 2",
"SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58",
"SELECT SUM(IIF(gender = 'M', 1, 0)) / COUNT(device_id) AS per FROM gender_age",
"SELECT T1.timestamp FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.event_id = '2'",
"SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT T2.phone_brand, T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age < 10",
"SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016' AND device_id = 29182687948017100"
]
}
|
{
"query": "To which categories does app user no.1977658975649780000 belong?",
"pos": [
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 1977658975649780000"
],
"neg": [
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 826' AND T2.phone_brand = 'HTC'",
"SELECT T1.age FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' ORDER BY T1.age LIMIT 1",
"SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo'",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE STRFTIME('%Y', T2.timestamp) = '2016' AND T1.`group` = 'M23-26'",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 7324884708820020000",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id ORDER BY T2.age DESC LIMIT 1",
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'",
"SELECT SUM(IIF(is_installed = 1 AND is_active = 0, 1, 0)) / COUNT(app_id) AS perrcent FROM app_events WHERE event_id = 6"
]
}
|
{
"query": "What is the age of the oldest active user that participated in the event held on 5/6/2016 at coordinates 121, 31?",
"pos": [
"SELECT T3.age FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE T1.is_active = 1 AND T2.longitude = 121 AND T2.latitude = 31 AND SUBSTR(T2.timestamp, 1, 10) = '2016-05-06' ORDER BY T3.age DESC LIMIT 1"
],
"neg": [
"SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.event_id WHERE T2.longitude = '113' AND T2.latitude = '28' AND T2.timestamp = '2016-05-07 23:55:16'",
"SELECT T1.timestamp FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.event_id = '2'",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT gender FROM gender_age WHERE device_id = -9222956879900150000",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.longitude = 114 AND T1.gender = 'M'",
"SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3",
"SELECT category, label_id FROM label_categories WHERE category LIKE '%game%' LIMIT 5",
"SELECT COUNT(app_id) FROM app_events WHERE is_active = 1"
]
}
|
{
"query": "What is the age and gender of the person who uses the device number 29182687948017100 on event number 1?",
"pos": [
"SELECT T1.age, T1.gender FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id = 29182687948017100 AND T2.event_id = 1"
],
"neg": [
"SELECT COUNT(event_id) FROM app_events WHERE event_id = 2 AND is_active = 0",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' AND T1.age < 30",
"SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-stress reliever'",
"SELECT MAX(age) FROM gender_age",
"SELECT T2.event_id FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id ORDER BY T1.age DESC LIMIT 1",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT SUM(IIF(T2.gender = 'F', 1, 0)) * 100 / COUNT(T2.device_id) AS perFemale , SUM(IIF(T2.gender = 'M', 1, 0)) * 100 / COUNT(T2.device_id) AS perMale FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'OPPO'",
"SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58",
"SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88"
]
}
|
{
"query": "Provide the total number of the male users that use OPPO as their phone brand.",
"pos": [
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' AND T1.gender = 'M'"
],
"neg": [
"SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1",
"SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T2.phone_brand) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 30 GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 4955831798976240000",
"SELECT COUNT(event_id) FROM app_events WHERE event_id = 2 AND is_active = 0",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE STRFTIME('%Y', T2.timestamp) = '2016' AND T1.`group` = 'M23-26'",
"SELECT T4.category FROM events_relevant AS T1 INNER JOIN app_events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN app_labels AS T3 ON T3.app_id = T2.app_id INNER JOIN label_categories AS T4 ON T3.label_id = T4.label_id ORDER BY T1.timestamp LIMIT 2",
"SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44",
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701",
"SELECT COUNT(app_id) FROM app_events WHERE is_active = 1",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'"
]
}
|
{
"query": "State the gender of users who use the device \"-9222956879900150000\".",
"pos": [
"SELECT gender FROM gender_age WHERE device_id = -9222956879900150000"
],
"neg": [
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'",
"SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG'",
"SELECT SUM(IIF(T2.gender = 'F', 1, 0)) * 100 / COUNT(T2.device_id) AS perFemale , SUM(IIF(T2.gender = 'M', 1, 0)) * 100 / COUNT(T2.device_id) AS perMale FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'OPPO'",
"SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15",
"SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44",
"SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F' GROUP BY T1.event_id, T2.age ORDER BY T2.age LIMIT 1",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-01 00:55:25'"
]
}
|
{
"query": "What is the age of the oldest device user?",
"pos": [
"SELECT MAX(age) FROM gender_age"
],
"neg": [
"SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T2.phone_brand) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 30 GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.phone_brand = 'vivo' AND T1.age < 30",
"SELECT IIF(SUM(IIF(T2.category = 'Securities', 1, 0)) - SUM(IIF(T2.category = 'Finance', 1, 0)) > 0, 'Securities', 'Finance') AS diff FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'",
"SELECT category, label_id FROM label_categories WHERE category LIKE '%game%' LIMIT 5",
"SELECT T1.longitude, T1.latitude FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_model = 'Galaxy S5' AND T2.gender = 'M'",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.longitude = 114 AND T1.gender = 'M'"
]
}
|
{
"query": "What is the percentage of users who experienced event number 6 who have the app installed but do not use the app?",
"pos": [
"SELECT SUM(IIF(is_installed = 1 AND is_active = 0, 1, 0)) / COUNT(app_id) AS perrcent FROM app_events WHERE event_id = 6"
],
"neg": [
"SELECT COUNT(gender) FROM gender_age WHERE age > 50 AND gender = 'F'",
"SELECT T1.timestamp FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.event_id = '2'",
"SELECT gender FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1",
"SELECT SUM(IIF(T2.phone_brand = 'vivo', 1, 0)) / COUNT(T1.device_id) AS per FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T1.event_id = '2'",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T2.gender = 'F' AND T1.device_model = 'Galaxy Note 2'",
"SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR'",
"SELECT timestamp FROM events WHERE event_id = 12",
"SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'"
]
}
|
{
"query": "What are the behavior categories that user number -9222198347540750000 belongs to?",
"pos": [
"SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000"
],
"neg": [
"SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE STRFTIME('%Y', T1.timestamp) = '2016' AND T2.phone_brand = 'vivo'",
"SELECT T1.longitude, T1.latitude FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'",
"SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR'",
"SELECT T4.category FROM events_relevant AS T1 INNER JOIN app_events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN app_labels AS T3 ON T3.app_id = T2.app_id INNER JOIN label_categories AS T4 ON T3.label_id = T4.label_id ORDER BY T1.timestamp LIMIT 2",
"SELECT COUNT(event_id) FROM app_events WHERE event_id = 2 AND is_active = 0",
"SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo'",
"SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 826' AND T2.phone_brand = 'HTC'"
]
}
|
{
"query": "How many active users are there in the event?",
"pos": [
"SELECT COUNT(app_id) FROM app_events WHERE is_active = 1"
],
"neg": [
"SELECT SUM(IIF(T1.age < 50, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO'",
"SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70'",
"SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT T3.age FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE T1.is_active = 1 AND T2.longitude = 121 AND T2.latitude = 31 AND SUBSTR(T2.timestamp, 1, 10) = '2016-05-06' ORDER BY T3.age DESC LIMIT 1",
"SELECT COUNT(app_id) FROM app_events WHERE is_installed = 1 AND is_active = 0",
"SELECT SUM(IIF(T1.`group` = 'M23-26', 1.0, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT SUM(IIF(T2.gender = 'F', 1, 0)) * 100 / COUNT(T2.device_id) AS perFemale , SUM(IIF(T2.gender = 'M', 1, 0)) * 100 / COUNT(T2.device_id) AS perMale FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'OPPO'",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T2.gender = 'F' AND T1.device_model = 'Galaxy Note 2'",
"SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'",
"SELECT T1.timestamp FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.event_id = '2'"
]
}
|
{
"query": "How many users of the app were not active when event no.2 happened?",
"pos": [
"SELECT COUNT(event_id) FROM app_events WHERE event_id = 2 AND is_active = 0"
],
"neg": [
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' AND T1.age < 30",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 826' AND T2.phone_brand = 'HTC'",
"SELECT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-07 06:03:22'",
"SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT SUM(IIF(is_installed = 1 AND is_active = 0, 1, 0)) / COUNT(app_id) AS perrcent FROM app_events WHERE event_id = 6",
"SELECT SUM(IIF(T1.phone_brand = 'OPPO', 1, 0)) / SUM(IIF(T1.device_id = 'R815T', 1, 0)) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'",
"SELECT T2.phone_brand, T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age < 10",
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'",
"SELECT gender FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT T3.age FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE T1.is_active = 1 AND T2.longitude = 121 AND T2.latitude = 31 AND SUBSTR(T2.timestamp, 1, 10) = '2016-05-06' ORDER BY T3.age DESC LIMIT 1"
]
}
|
{
"query": "What is the most common age group among all device users?",
"pos": [
"SELECT T.num FROM ( SELECT `group`, COUNT(`group`) AS num FROM gender_age GROUP BY `group` ) T"
],
"neg": [
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70'",
"SELECT DISTINCT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T2.longitude = 80 AND T2.latitude = 44",
"SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR'",
"SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000",
"SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo'",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 1977658975649780000",
"SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15"
]
}
|
{
"query": "What is the name of the category which most users belong to?",
"pos": [
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1"
],
"neg": [
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15",
"SELECT SUM(IIF(gender = 'M', 1, 0)) / COUNT(device_id) AS per FROM gender_age",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 7324884708820020000",
"SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR'",
"SELECT T1.timestamp FROM events_relevant AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = -8022267440849930000 AND T1.event_id = 7",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'",
"SELECT T1.age, T1.gender FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id = 29182687948017100 AND T2.event_id = 1",
"SELECT T2.age FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Galaxy Note 2'"
]
}
|
{
"query": "How many female users belong to the age group of 27 to 28?",
"pos": [
"SELECT COUNT(device_id) FROM gender_age WHERE `group` = 'F27-28' AND gender = 'F'"
],
"neg": [
"SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'",
"SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30",
"SELECT MAX(age) FROM gender_age",
"SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1",
"SELECT longitude, latitude FROM events WHERE date(timestamp) = '2016-04-30'",
"SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age ) )",
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 1977658975649780000",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE device_model = 'A51'",
"SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000"
]
}
|
{
"query": "Calculate the ratio in percentage between the average number of app users belonging to \"80s Japanese comic\" and \"90s Japanese comic\".",
"pos": [
"SELECT SUM(IIF(T1.category = '80s Japanese comic', 1, 0)) / COUNT(T1.label_id) AS J8 , SUM(IIF(T1.category = '90s Japanese comic', 1, 0)) / COUNT(T1.label_id) AS J9 FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id"
],
"neg": [
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'",
"SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT SUM(IIF(T1.phone_brand = 'OPPO', 1, 0)) / SUM(IIF(T1.device_id = 'R815T', 1, 0)) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'",
"SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1",
"SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58",
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701",
"SELECT COUNT(T1.app_id), T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T1.event_id = 79641 GROUP BY T2.longitude, T2.latitude",
"SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT COUNT(event_id) FROM events WHERE longitude = 80 AND latitude = 37"
]
}
|
{
"query": "List at least 15 phone models released under the OPPO brand.",
"pos": [
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15"
],
"neg": [
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id GROUP BY T2.category ) AS T ORDER BY T.num DESC LIMIT 3",
"SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44",
"SELECT T.num FROM ( SELECT `group`, COUNT(`group`) AS num FROM gender_age GROUP BY `group` ) T",
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT longitude, latitude FROM events WHERE date(timestamp) = '2016-04-30'",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T2.phone_brand = 'HTC'",
"SELECT T1.age, T1.gender FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id = 29182687948017100 AND T2.event_id = 1",
"SELECT COUNT(event_id) FROM events WHERE longitude = 80 AND latitude = 37"
]
}
|
{
"query": "What is the age of the youngest female device user?",
"pos": [
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'"
],
"neg": [
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE STRFTIME('%Y', T2.timestamp) = '2016' AND T1.`group` = 'M23-26'",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.phone_brand = 'vivo' AND T1.age < 30",
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T2.gender = 'F' AND T1.device_model = 'Galaxy Note 2'",
"SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 826' AND T2.phone_brand = 'HTC'",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-01 00:55:25'"
]
}
|
{
"query": "Please list the ages of all the users who use a Galaxy Note 2.",
"pos": [
"SELECT T2.age FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Galaxy Note 2'"
],
"neg": [
"SELECT SUM(IIF(is_installed = 1 AND is_active = 0, 1, 0)) / COUNT(app_id) AS perrcent FROM app_events WHERE event_id = 6",
"SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.timestamp = '2016-05-01' AND T2.gender = 'M'",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id ORDER BY T2.age DESC LIMIT 1",
"SELECT COUNT(app_id) FROM app_events WHERE is_installed = 1 AND is_active = 0",
"SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT COUNT(device_id) FROM gender_age WHERE gender = 'M'",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 3",
"SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR'",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 826' AND T2.phone_brand = 'HTC'",
"SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.`group`) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1"
]
}
|
{
"query": "Among the users who use SUGAR, calculate the percentage of those who are above 20 years old.",
"pos": [
"SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR'"
],
"neg": [
"SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0",
"SELECT timestamp FROM events WHERE event_id = 12",
"SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo'",
"SELECT T1.longitude, T1.latitude FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T2.phone_brand) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 30 GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3",
"SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age ) )",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'"
]
}
|
{
"query": "How many users belong to the same behavior category as comics?",
"pos": [
"SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'comics'"
],
"neg": [
"SELECT T2.phone_brand, T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age < 10",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' AND T2.event_id = 2",
"SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'",
"SELECT MAX(age) FROM gender_age",
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'",
"SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000",
"SELECT COUNT(T1.event_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE SUBSTR(T2.`timestamp`, 1, 10) = '2016-05-06' AND T1.is_installed = '1'",
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id GROUP BY T2.category ) AS T ORDER BY T.num DESC LIMIT 3",
"SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44"
]
}
|
{
"query": "State the category of the label that represented the behavior category of app id 4955831798976240000.",
"pos": [
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 4955831798976240000"
],
"neg": [
"SELECT COUNT(device_model) FROM phone_brand_device_model2 WHERE phone_brand = 'HTC'",
"SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T2.phone_brand) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 30 GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T1.gender) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'F' AND T2.device_model = 'ZenFone 5'",
"SELECT T3.age FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE T1.is_active = 1 AND T2.longitude = 121 AND T2.latitude = 31 AND SUBSTR(T2.timestamp, 1, 10) = '2016-05-06' ORDER BY T3.age DESC LIMIT 1",
"SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1",
"SELECT timestamp FROM events WHERE event_id = 12",
"SELECT SUM(IIF(T1.category = '80s Japanese comic', 1, 0)) / COUNT(T1.label_id) AS J8 , SUM(IIF(T1.category = '90s Japanese comic', 1, 0)) / COUNT(T1.label_id) AS J9 FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F29-32' AND T2.device_model = '魅蓝Note 2'",
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701",
"SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30"
]
}
|
{
"query": "How many more devices are there of the brand vivo than of the brand LG?",
"pos": [
"SELECT SUM(IIF(phone_brand = 'vivo', 1, 0)) - SUM(IIF(phone_brand = 'LG', 1, 0)) AS num FROM phone_brand_device_model2"
],
"neg": [
"SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 4955831798976240000",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT timestamp FROM events WHERE event_id = '887711'",
"SELECT COUNT(app_id) FROM app_labels WHERE label_id = 7",
"SELECT SUM(IIF(T2.phone_brand = 'vivo', 1, 0)) / COUNT(T1.device_id) AS per FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T1.event_id = '2'",
"SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-stress reliever'",
"SELECT COUNT(device_id) FROM gender_age WHERE `group` = 'F27-28' AND gender = 'F'",
"SELECT T.category FROM ( SELECT T1.category, COUNT(T2.app_id) AS num FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id GROUP BY T1.label_id ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1"
]
}
|
{
"query": "Among the users who uses a vivo device, how many of them are female and under 30?",
"pos": [
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.phone_brand = 'vivo' AND T1.age < 30"
],
"neg": [
"SELECT T3.age FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE T1.is_active = 1 AND T2.longitude = 121 AND T2.latitude = 31 AND SUBSTR(T2.timestamp, 1, 10) = '2016-05-06' ORDER BY T3.age DESC LIMIT 1",
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'",
"SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T2.phone_brand) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 30 GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT timestamp FROM events WHERE event_id = 12",
"SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.timestamp = '2016-05-01' AND T2.gender = 'M'",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 1977658975649780000",
"SELECT SUM(IIF(is_installed = 1 AND is_active = 0, 1, 0)) / COUNT(app_id) AS perrcent FROM app_events WHERE event_id = 6",
"SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'",
"SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1"
]
}
|
{
"query": "How many different models does the HTC brand have?",
"pos": [
"SELECT COUNT(device_model) FROM phone_brand_device_model2 WHERE phone_brand = 'HTC'"
],
"neg": [
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701",
"SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT SUM(IIF(T2.gender = 'F', 1, 0)) * 100 / COUNT(T2.device_id) AS perFemale , SUM(IIF(T2.gender = 'M', 1, 0)) * 100 / COUNT(T2.device_id) AS perMale FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'OPPO'",
"SELECT COUNT(T1.event_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE SUBSTR(T2.`timestamp`, 1, 10) = '2016-05-06' AND T1.is_installed = '1'",
"SELECT gender FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT T.category FROM ( SELECT T1.category, COUNT(T2.app_id) AS num FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id GROUP BY T1.label_id ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'",
"SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT SUM(IIF(T1.age < 50, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO'",
"SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.`group`) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1"
]
}
|
{
"query": "List the phone brands and models of the users under 10 years of age.",
"pos": [
"SELECT T2.phone_brand, T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age < 10"
],
"neg": [
"SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE STRFTIME('%Y', T1.timestamp) = '2016' AND T2.phone_brand = 'vivo'",
"SELECT COUNT(app_id) FROM app_events WHERE is_active = 1",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.phone_brand = 'vivo' AND T1.age < 30",
"SELECT T.num FROM ( SELECT `group`, COUNT(`group`) AS num FROM gender_age GROUP BY `group` ) T",
"SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age ) )",
"SELECT category, label_id FROM label_categories WHERE category LIKE '%game%' LIMIT 5",
"SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1",
"SELECT DISTINCT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T2.longitude = 80 AND T2.latitude = 44",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.longitude = 114 AND T1.gender = 'M'"
]
}
|
{
"query": "How many male users have the log of events at the same longitude of 114?",
"pos": [
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.longitude = 114 AND T1.gender = 'M'"
],
"neg": [
"SELECT COUNT(device_model) FROM phone_brand_device_model2 WHERE phone_brand = 'HTC'",
"SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1",
"SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44",
"SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 7324884708820020000",
"SELECT SUM(IIF(phone_brand = 'vivo', 1, 0)) - SUM(IIF(phone_brand = 'LG', 1, 0)) AS num FROM phone_brand_device_model2",
"SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30",
"SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )"
]
}
|
{
"query": "What is the age group of most OPPO users?",
"pos": [
"SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.`group`) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1"
],
"neg": [
"SELECT SUM(IIF(phone_brand = 'vivo', 1, 0)) - SUM(IIF(phone_brand = 'LG', 1, 0)) AS num FROM phone_brand_device_model2",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.phone_brand = 'vivo' AND T1.age < 30",
"SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F' GROUP BY T1.event_id, T2.age ORDER BY T2.age LIMIT 1",
"SELECT SUM(IIF(T1.`group` = 'M23-26', 1.0, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70'",
"SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.event_id WHERE T2.longitude = '113' AND T2.latitude = '28' AND T2.timestamp = '2016-05-07 23:55:16'",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'",
"SELECT COUNT(device_model) FROM phone_brand_device_model2 WHERE phone_brand = 'HTC'"
]
}
|
{
"query": "How many events in total have happened on all the vivo devices in the year 2016?",
"pos": [
"SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE STRFTIME('%Y', T1.timestamp) = '2016' AND T2.phone_brand = 'vivo'"
],
"neg": [
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016' AND device_id = 29182687948017100",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.longitude = 114 AND T1.gender = 'M'",
"SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 3' AND T1.gender = 'M'",
"SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.timestamp = '2016-05-01' AND T2.gender = 'M'",
"SELECT COUNT(app_id) FROM app_events WHERE is_active = 1",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_model = 'Galaxy S5' AND T2.gender = 'M'",
"SELECT MAX(age) FROM gender_age"
]
}
|
{
"query": "Please list any three OPPO device models.",
"pos": [
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 3"
],
"neg": [
"SELECT T1.age, T1.gender FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id = 29182687948017100 AND T2.event_id = 1",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'",
"SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-01 00:55:25'",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F29-32' AND T2.device_model = '魅蓝Note 2'",
"SELECT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-07 06:03:22'",
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'",
"SELECT T2.phone_brand, T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age < 10"
]
}
|
{
"query": "Describe the phone brands and models of the users who participated in events on 5th May, 2016 at the coordinates of (112,44).",
"pos": [
"SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44"
],
"neg": [
"SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1",
"SELECT T2.age FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Galaxy Note 2'",
"SELECT T1.timestamp FROM events_relevant AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = -8022267440849930000 AND T1.event_id = 7",
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' AND T2.event_id = 2",
"SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70'",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0",
"SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T2.phone_brand) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 30 GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-01 00:55:25'"
]
}
|
{
"query": "Please list the event IDs of the events that have happened on the device of the oldest user.",
"pos": [
"SELECT T2.event_id FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id ORDER BY T1.age DESC LIMIT 1"
],
"neg": [
"SELECT MAX(age) FROM gender_age",
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 4955831798976240000",
"SELECT T.category FROM ( SELECT T1.category, COUNT(T2.app_id) AS num FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id GROUP BY T1.label_id ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 3",
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701",
"SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )"
]
}
|
{
"query": "How many users installed the app but are not active?",
"pos": [
"SELECT COUNT(app_id) FROM app_events WHERE is_installed = 1 AND is_active = 0"
],
"neg": [
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-01 00:55:25'",
"SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 7324884708820020000",
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'",
"SELECT gender FROM gender_age WHERE device_id = -9222956879900150000",
"SELECT T2.phone_brand, T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age < 10",
"SELECT SUM(IIF(latitude != 0 AND longitude != 0, 1, 0)) - SUM(IIF(latitude = 0 AND longitude = 0, 1, 0)) AS diff FROM events WHERE device_id = '-922956879900150000'",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000"
]
}
|
{
"query": "What is the brand of the youngest user's device?",
"pos": [
"SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age ) )"
],
"neg": [
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 7324884708820020000",
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'",
"SELECT COUNT(device_id) FROM gender_age WHERE gender = 'M'",
"SELECT T1.age FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' ORDER BY T1.age LIMIT 1",
"SELECT T1.timestamp FROM events_relevant AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = -8022267440849930000 AND T1.event_id = 7",
"SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'",
"SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT COUNT(T3.device_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE SUBSTR(`timestamp`, 1, 10) = '2016-05-02' AND T1.is_active = 1 AND T3.age = '30'",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' AND T2.event_id = 2",
"SELECT IIF(SUM(IIF(T2.category = 'Securities', 1, 0)) - SUM(IIF(T2.category = 'Finance', 1, 0)) > 0, 'Securities', 'Finance') AS diff FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id"
]
}
|
{
"query": "Which phone brand and model was used for event ID \"6701\"?",
"pos": [
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701"
],
"neg": [
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT SUM(IIF(gender = 'M', 1, 0)) / COUNT(device_id) AS per FROM gender_age",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'",
"SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70'",
"SELECT COUNT(T1.event_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE SUBSTR(T2.`timestamp`, 1, 10) = '2016-05-06' AND T1.is_installed = '1'",
"SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F29-32' AND T2.device_model = '魅蓝Note 2'",
"SELECT T2.age FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Galaxy Note 2'"
]
}
|
{
"query": "How many events did the 88-years-old male users participate on 4th May,2016?",
"pos": [
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88"
],
"neg": [
"SELECT T2.phone_brand, T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age < 10",
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'",
"SELECT SUM(IIF(T1.`group` = 'M23-26', 1.0, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T2.gender = 'F' AND T1.device_model = 'Galaxy Note 2'",
"SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'",
"SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58",
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'",
"SELECT T4.category FROM events_relevant AS T1 INNER JOIN app_events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN app_labels AS T3 ON T3.app_id = T2.app_id INNER JOIN label_categories AS T4 ON T3.label_id = T4.label_id ORDER BY T1.timestamp LIMIT 2",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'"
]
}
|
{
"query": "Indicate the location of all the events that occurred on April 30, 2016.",
"pos": [
"SELECT longitude, latitude FROM events WHERE date(timestamp) = '2016-04-30'"
],
"neg": [
"SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age ) )",
"SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE STRFTIME('%Y', T1.timestamp) = '2016' AND T2.phone_brand = 'vivo'",
"SELECT SUM(IIF(T2.gender = 'F', 1, 0)) * 100 / COUNT(T2.device_id) AS perFemale , SUM(IIF(T2.gender = 'M', 1, 0)) * 100 / COUNT(T2.device_id) AS perMale FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'OPPO'",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.event_id WHERE T2.longitude = '113' AND T2.latitude = '28' AND T2.timestamp = '2016-05-07 23:55:16'",
"SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'comics'",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 3' AND T1.gender = 'M'",
"SELECT COUNT(T1.gender) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'F' AND T2.device_model = 'ZenFone 5'",
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id GROUP BY T2.category ) AS T ORDER BY T.num DESC LIMIT 3",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15"
]
}
|
{
"query": "What percentage of vivo devices belong to users with no information?",
"pos": [
"SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'"
],
"neg": [
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F29-32' AND T2.device_model = '魅蓝Note 2'",
"SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.`group`) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' AND T1.gender = 'M'",
"SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016' AND device_id = 29182687948017100",
"SELECT COUNT(device_id) FROM gender_age WHERE gender = 'M'",
"SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.timestamp = '2016-05-01' AND T2.gender = 'M'",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_model = 'Galaxy S5' AND T2.gender = 'M'",
"SELECT MAX(age) FROM gender_age"
]
}
|
{
"query": "What is the category that the most app users belong to?",
"pos": [
"SELECT T.category FROM ( SELECT T1.category, COUNT(T2.app_id) AS num FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id GROUP BY T1.label_id ) AS T ORDER BY T.num DESC LIMIT 1"
],
"neg": [
"SELECT SUM(IIF(T1.`group` = 'M23-26', 1.0, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-01 00:55:25'",
"SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F' GROUP BY T1.event_id, T2.age ORDER BY T2.age LIMIT 1",
"SELECT COUNT(gender) FROM gender_age WHERE age > 50 AND gender = 'F'",
"SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'comics'",
"SELECT COUNT(app_id) FROM app_events WHERE is_installed = 1 AND is_active = 0",
"SELECT COUNT(event_id) FROM app_events WHERE event_id = 2 AND is_active = 0",
"SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE device_model = 'A51'",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'"
]
}
|
{
"query": "Please list any three devices that are owned by female users.",
"pos": [
"SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3"
],
"neg": [
"SELECT T1.timestamp FROM events_relevant AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = -8022267440849930000 AND T1.event_id = 7",
"SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44",
"SELECT COUNT(T3.device_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE SUBSTR(`timestamp`, 1, 10) = '2016-05-02' AND T1.is_active = 1 AND T3.age = '30'",
"SELECT COUNT(T1.gender) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'F' AND T2.device_model = 'ZenFone 5'",
"SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT T2.age FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Galaxy Note 2'",
"SELECT SUM(IIF(T1.`group` = 'M23-26', 1.0, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT T2.event_id FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id ORDER BY T1.age DESC LIMIT 1",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' AND T2.event_id = 2",
"SELECT SUM(IIF(phone_brand = 'vivo', 1, 0)) - SUM(IIF(phone_brand = 'LG', 1, 0)) AS num FROM phone_brand_device_model2"
]
}
|
{
"query": "Which gender logged in the most to an event in the first 10 days of May 2016?",
"pos": [
"SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1"
],
"neg": [
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'",
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' AND T1.gender = 'M'",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 826' AND T2.phone_brand = 'HTC'",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.event_id WHERE T2.longitude = '113' AND T2.latitude = '28' AND T2.timestamp = '2016-05-07 23:55:16'",
"SELECT T4.category FROM events_relevant AS T1 INNER JOIN app_events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN app_labels AS T3 ON T3.app_id = T2.app_id INNER JOIN label_categories AS T4 ON T3.label_id = T4.label_id ORDER BY T1.timestamp LIMIT 2",
"SELECT COUNT(event_id) FROM events WHERE longitude = 80 AND latitude = 37",
"SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70'",
"SELECT T1.longitude, T1.latitude FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'"
]
}
|
{
"query": "Give the time stamp for event No.887711.",
"pos": [
"SELECT timestamp FROM events WHERE event_id = '887711'"
],
"neg": [
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T2.phone_brand = 'HTC'",
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15",
"SELECT T.num FROM ( SELECT `group`, COUNT(`group`) AS num FROM gender_age GROUP BY `group` ) T",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE device_model = 'A51'",
"SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-stress reliever'",
"SELECT T1.longitude, T1.latitude FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' AND T1.age < 30",
"SELECT T2.age FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Galaxy Note 2'",
"SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58"
]
}
|
{
"query": "Please list the location coordinates of all the devices with an inactive app user when event no.2 happened.",
"pos": [
"SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0"
],
"neg": [
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T2.gender = 'F' AND T1.device_model = 'Galaxy Note 2'",
"SELECT SUM(IIF(is_installed = 1 AND is_active = 0, 1, 0)) / COUNT(app_id) AS perrcent FROM app_events WHERE event_id = 6",
"SELECT SUM(IIF(gender = 'M', 1, 0)) / COUNT(device_id) AS per FROM gender_age",
"SELECT COUNT(device_model) FROM phone_brand_device_model2 WHERE phone_brand = 'HTC'",
"SELECT COUNT(event_id) FROM app_events WHERE event_id = 2 AND is_active = 0",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' AND T1.age < 30",
"SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age ) )",
"SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.timestamp = '2016-05-01' AND T2.gender = 'M'",
"SELECT COUNT(app_id) FROM app_labels WHERE label_id = 7",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'"
]
}
|
{
"query": "How many devices belong to model \"A51\"?",
"pos": [
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE device_model = 'A51'"
],
"neg": [
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id ORDER BY T2.age DESC LIMIT 1",
"SELECT timestamp FROM events WHERE event_id = '887711'",
"SELECT COUNT(app_id) FROM app_labels WHERE label_id = 7",
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'",
"SELECT SUM(IIF(T2.gender = 'F', 1, 0)) * 100 / COUNT(T2.device_id) AS perFemale , SUM(IIF(T2.gender = 'M', 1, 0)) * 100 / COUNT(T2.device_id) AS perMale FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'OPPO'",
"SELECT T.category FROM ( SELECT T1.category, COUNT(T2.app_id) AS num FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id GROUP BY T1.label_id ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.longitude = 114 AND T1.gender = 'M'",
"SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE STRFTIME('%Y', T2.timestamp) = '2016' AND T1.`group` = 'M23-26'",
"SELECT DISTINCT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T2.longitude = 80 AND T2.latitude = 44"
]
}
|
{
"query": "How many male users of the \"Galaxy S5\" device model?",
"pos": [
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_model = 'Galaxy S5' AND T2.gender = 'M'"
],
"neg": [
"SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000",
"SELECT SUM(IIF(T2.gender = 'F', 1, 0)) * 100 / COUNT(T2.device_id) AS perFemale , SUM(IIF(T2.gender = 'M', 1, 0)) * 100 / COUNT(T2.device_id) AS perMale FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'OPPO'",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T2.phone_brand = 'HTC'",
"SELECT SUM(IIF(phone_brand = 'vivo', 1, 0)) - SUM(IIF(phone_brand = 'LG', 1, 0)) AS num FROM phone_brand_device_model2",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' AND T1.age < 30",
"SELECT COUNT(T1.gender) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'F' AND T2.device_model = 'ZenFone 5'",
"SELECT T2.phone_brand, T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age < 10",
"SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age ) )",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15",
"SELECT COUNT(gender) FROM gender_age WHERE age > 50 AND gender = 'F'"
]
}
|
{
"query": "How many users who are under 30 years old use device model of Galaxy Note 2?",
"pos": [
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' AND T1.age < 30"
],
"neg": [
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T2.phone_brand = 'HTC'",
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701",
"SELECT SUM(IIF(T1.age < 50, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO'",
"SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo'",
"SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG'",
"SELECT MAX(age) FROM gender_age",
"SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T2.age FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Galaxy Note 2'",
"SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58",
"SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'"
]
}
|
{
"query": "What is the gender of the youngest user?",
"pos": [
"SELECT gender FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )"
],
"neg": [
"SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT timestamp FROM events WHERE event_id = '887711'",
"SELECT T1.timestamp FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.event_id = '2'",
"SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0",
"SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016' AND device_id = 29182687948017100",
"SELECT COUNT(T1.event_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE SUBSTR(T2.`timestamp`, 1, 10) = '2016-05-06' AND T1.is_installed = '1'",
"SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT T1.age, T1.gender FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id = 29182687948017100 AND T2.event_id = 1",
"SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 3' AND T1.gender = 'M'"
]
}
|
{
"query": "Which behavior category does user number 5902120154267990000 belong to?",
"pos": [
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 5902120154267990000"
],
"neg": [
"SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT COUNT(app_id) FROM app_events WHERE is_installed = 1 AND is_active = 0",
"SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'",
"SELECT timestamp FROM events WHERE event_id = 12",
"SELECT T2.event_id FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id ORDER BY T1.age DESC LIMIT 1",
"SELECT COUNT(gender) FROM gender_age WHERE age > 50 AND gender = 'F'",
"SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo'",
"SELECT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-07 06:03:22'",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 3"
]
}
|
{
"query": "Provide the phone brands and models of the users who were at the coordinates of (80,44).",
"pos": [
"SELECT DISTINCT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T2.longitude = 80 AND T2.latitude = 44"
],
"neg": [
"SELECT COUNT(T3.device_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE SUBSTR(`timestamp`, 1, 10) = '2016-05-02' AND T1.is_active = 1 AND T3.age = '30'",
"SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0",
"SELECT COUNT(T1.app_id), T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T1.event_id = 79641 GROUP BY T2.longitude, T2.latitude",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'",
"SELECT SUM(IIF(phone_brand = 'vivo', 1, 0)) - SUM(IIF(phone_brand = 'LG', 1, 0)) AS num FROM phone_brand_device_model2",
"SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T2.gender = 'F' AND T1.device_model = 'Galaxy Note 2'",
"SELECT COUNT(T1.event_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE SUBSTR(T2.`timestamp`, 1, 10) = '2016-05-06' AND T1.is_installed = '1'",
"SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'"
]
}
|
{
"query": "List all the devices' brands and models of events on 5/7/2016 at 6:03:22 AM.",
"pos": [
"SELECT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-07 06:03:22'"
],
"neg": [
"SELECT SUM(IIF(T1.age < 50, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO'",
"SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30",
"SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'",
"SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016' AND device_id = 29182687948017100",
"SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0",
"SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'",
"SELECT T.category FROM ( SELECT T1.category, COUNT(T2.app_id) AS num FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id GROUP BY T1.label_id ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(event_id) FROM events WHERE longitude = 80 AND latitude = 37",
"SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44"
]
}
|
{
"query": "What are the ages and genders of the LG L70 users?",
"pos": [
"SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70'"
],
"neg": [
"SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR'",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'",
"SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0",
"SELECT timestamp FROM events WHERE event_id = '887711'",
"SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'comics'",
"SELECT T2.event_id FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id ORDER BY T1.age DESC LIMIT 1",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id GROUP BY T2.category ) AS T ORDER BY T.num DESC LIMIT 3",
"SELECT T3.age FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE T1.is_active = 1 AND T2.longitude = 121 AND T2.latitude = 31 AND SUBSTR(T2.timestamp, 1, 10) = '2016-05-06' ORDER BY T3.age DESC LIMIT 1"
]
}
|
{
"query": "How many events have happened on the device of the youngest female user?",
"pos": [
"SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F' GROUP BY T1.event_id, T2.age ORDER BY T2.age LIMIT 1"
],
"neg": [
"SELECT T4.category FROM events_relevant AS T1 INNER JOIN app_events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN app_labels AS T3 ON T3.app_id = T2.app_id INNER JOIN label_categories AS T4 ON T3.label_id = T4.label_id ORDER BY T1.timestamp LIMIT 2",
"SELECT SUM(IIF(T2.phone_brand = 'vivo', 1, 0)) / COUNT(T1.device_id) AS per FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T1.event_id = '2'",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT timestamp FROM events WHERE event_id = '887711'",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15",
"SELECT longitude, latitude FROM events WHERE date(timestamp) = '2016-04-30'",
"SELECT MAX(age) FROM gender_age",
"SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1"
]
}
|
{
"query": "Mention the group of age of users who use phone brand of LG.",
"pos": [
"SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG'"
],
"neg": [
"SELECT SUM(IIF(T1.age < 50, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO'",
"SELECT DISTINCT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T2.longitude = 80 AND T2.latitude = 44",
"SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT SUM(IIF(T1.phone_brand = 'OPPO', 1, 0)) / SUM(IIF(T1.device_id = 'R815T', 1, 0)) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'",
"SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' AND T2.event_id = 2",
"SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.`group`) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(device_id) FROM gender_age WHERE gender = 'M'",
"SELECT MIN(age) FROM gender_age WHERE gender = 'F'",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'"
]
}
|
{
"query": "What is the difference between the events of device number -9222956879900150000 that can be located and those that are unable to be located?",
"pos": [
"SELECT SUM(IIF(latitude != 0 AND longitude != 0, 1, 0)) - SUM(IIF(latitude = 0 AND longitude = 0, 1, 0)) AS diff FROM events WHERE device_id = '-922956879900150000'"
],
"neg": [
"SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701",
"SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id ORDER BY T2.age DESC LIMIT 1",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15",
"SELECT COUNT(T1.gender) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'F' AND T2.device_model = 'ZenFone 5'",
"SELECT T1.age FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' ORDER BY T1.age LIMIT 1",
"SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1",
"SELECT T1.gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 826' AND T2.phone_brand = 'HTC'",
"SELECT COUNT(event_id) FROM events WHERE longitude = 80 AND latitude = 37",
"SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'"
]
}
|
{
"query": "Among all the times event no.2 happened when the app user was not active, when was the earliest time this situation happened?",
"pos": [
"SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1"
],
"neg": [
"SELECT SUM(IIF(T1.category = '80s Japanese comic', 1, 0)) / COUNT(T1.label_id) AS J8 , SUM(IIF(T1.category = '90s Japanese comic', 1, 0)) / COUNT(T1.label_id) AS J9 FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id",
"SELECT SUM(IIF(T2.phone_brand = 'vivo', 1, 0)) / COUNT(T1.device_id) AS per FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T1.event_id = '2'",
"SELECT COUNT(app_id) FROM app_labels WHERE label_id = 7",
"SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1",
"SELECT SUM(IIF(latitude != 0 AND longitude != 0, 1, 0)) - SUM(IIF(latitude = 0 AND longitude = 0, 1, 0)) AS diff FROM events WHERE device_id = '-922956879900150000'",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F29-32' AND T2.device_model = '魅蓝Note 2'",
"SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo'",
"SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT SUM(IIF(T1.`group` = 'M23-26', 1.0, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT COUNT(T1.app_id), T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T1.event_id = 79641 GROUP BY T2.longitude, T2.latitude"
]
}
|
{
"query": "How many devices are of the brand vivo?",
"pos": [
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'"
],
"neg": [
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 3",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' AND T1.gender = 'M'",
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58",
"SELECT DISTINCT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T2.longitude = 80 AND T2.latitude = 44",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_model = 'Galaxy S5' AND T2.gender = 'M'",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 820' AND T1.gender = 'M'",
"SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG'",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'",
"SELECT SUM(IIF(latitude != 0 AND longitude != 0, 1, 0)) - SUM(IIF(latitude = 0 AND longitude = 0, 1, 0)) AS diff FROM events WHERE device_id = '-922956879900150000'"
]
}
|
{
"query": "How many male users are in the age group of M32-38?",
"pos": [
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'"
],
"neg": [
"SELECT COUNT(device_id) FROM gender_age WHERE `group` = 'F27-28' AND gender = 'F'",
"SELECT T1.timestamp FROM events_relevant AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = -8022267440849930000 AND T1.event_id = 7",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 7324884708820020000",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' AND T1.age < 30",
"SELECT MAX(age) FROM gender_age",
"SELECT SUM(IIF(phone_brand = 'vivo', 1, 0)) - SUM(IIF(phone_brand = 'LG', 1, 0)) AS num FROM phone_brand_device_model2",
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.event_id WHERE T2.longitude = '113' AND T2.latitude = '28' AND T2.timestamp = '2016-05-07 23:55:16'",
"SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'",
"SELECT gender FROM gender_age WHERE device_id = -9222956879900150000"
]
}
|
{
"query": "Among the devices on which an event happened on 2016/5/1, how many of them are used by a male user?",
"pos": [
"SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.timestamp = '2016-05-01' AND T2.gender = 'M'"
],
"neg": [
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT COUNT(device_id) FROM gender_age WHERE `group` = 'F27-28' AND gender = 'F'",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' AND T2.event_id = 2",
"SELECT COUNT(event_id) FROM app_events WHERE event_id = 2 AND is_active = 0",
"SELECT SUM(IIF(T1.category = '80s Japanese comic', 1, 0)) / COUNT(T1.label_id) AS J8 , SUM(IIF(T1.category = '90s Japanese comic', 1, 0)) / COUNT(T1.label_id) AS J9 FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 5902120154267990000",
"SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0",
"SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T1.longitude, T1.latitude FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'"
]
}
|
{
"query": "How many female users over the age of 50 are there?",
"pos": [
"SELECT COUNT(gender) FROM gender_age WHERE age > 50 AND gender = 'F'"
],
"neg": [
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 1977658975649780000",
"SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3",
"SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'",
"SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'",
"SELECT gender FROM gender_age WHERE device_id = -9222956879900150000",
"SELECT T.num FROM ( SELECT `group`, COUNT(`group`) AS num FROM gender_age GROUP BY `group` ) T",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.phone_brand = 'vivo' AND T1.age < 30",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'",
"SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE STRFTIME('%Y', T1.timestamp) = '2016' AND T2.phone_brand = 'vivo'"
]
}
|
{
"query": "What is the average age of the female users who uses a vivo device?",
"pos": [
"SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'"
],
"neg": [
"SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.event_id WHERE T2.longitude = '113' AND T2.latitude = '28' AND T2.timestamp = '2016-05-07 23:55:16'",
"SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'",
"SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_model = 'Galaxy S5' AND T2.gender = 'M'",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'",
"SELECT longitude, latitude FROM events WHERE date(timestamp) = '2016-04-30'",
"SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44",
"SELECT T.category FROM ( SELECT T1.category, COUNT(T2.app_id) AS num FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id GROUP BY T1.label_id ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000",
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1"
]
}
|
{
"query": "Which category has more app users, Securities or Finance?",
"pos": [
"SELECT IIF(SUM(IIF(T2.category = 'Securities', 1, 0)) - SUM(IIF(T2.category = 'Finance', 1, 0)) > 0, 'Securities', 'Finance') AS diff FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id"
],
"neg": [
"SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T2.phone_brand) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 30 GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT SUM(IIF(T1.phone_brand = 'OPPO', 1, 0)) / SUM(IIF(T1.device_id = 'R815T', 1, 0)) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'",
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id GROUP BY T2.category ) AS T ORDER BY T.num DESC LIMIT 3",
"SELECT timestamp FROM events WHERE event_id = '887711'",
"SELECT SUM(IIF(phone_brand = 'vivo', 1, 0)) - SUM(IIF(phone_brand = 'LG', 1, 0)) AS num FROM phone_brand_device_model2",
"SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'comics'",
"SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT SUM(IIF(T1.`group` = 'M23-26', 1.0, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'",
"SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'",
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T2.phone_brand = 'HTC'"
]
}
|
{
"query": "Please list the time when event no.2 happened on a vivo device.",
"pos": [
"SELECT T1.timestamp FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.event_id = '2'"
],
"neg": [
"SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3",
"SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(app_id) FROM app_events WHERE is_installed = 1 AND is_active = 0",
"SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'",
"SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016' AND device_id = 29182687948017100",
"SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30",
"SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo'",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'comics'"
]
}
|
{
"query": "Locate all events on devices of women under 30 years old.",
"pos": [
"SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30"
],
"neg": [
"SELECT MAX(age) FROM gender_age",
"SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG'",
"SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.`group`) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT IIF(SUM(IIF(T2.category = 'Securities', 1, 0)) - SUM(IIF(T2.category = 'Finance', 1, 0)) > 0, 'Securities', 'Finance') AS diff FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id",
"SELECT T1.timestamp FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.event_id = '2'",
"SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'",
"SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1",
"SELECT COUNT(gender) FROM gender_age WHERE age > 50 AND gender = 'F'",
"SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70'",
"SELECT SUM(IIF(T1.age < 50, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO'"
]
}
|
{
"query": "Give the number of male users who use phone branded HTC.",
"pos": [
"SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T2.phone_brand = 'HTC'"
],
"neg": [
"SELECT T1.timestamp FROM events_relevant AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = -8022267440849930000 AND T1.event_id = 7",
"SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88",
"SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo'",
"SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1",
"SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15",
"SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58",
"SELECT T3.age FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE T1.is_active = 1 AND T2.longitude = 121 AND T2.latitude = 31 AND SUBSTR(T2.timestamp, 1, 10) = '2016-05-06' ORDER BY T3.age DESC LIMIT 1",
"SELECT gender FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )",
"SELECT COUNT(T3.device_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE SUBSTR(`timestamp`, 1, 10) = '2016-05-02' AND T1.is_active = 1 AND T3.age = '30'"
]
}
|
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