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CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Tell the number of 4-year private not-for-profit schools in the home state of "Brevard Community College". | SELECT COUNT(T1.chronname) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T2.level = '4-year' AND T2.control = 'Private not-for-profit' AND T1.chronname = 'Brevard Community College' | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Give the total number of all graduated students from a 2-year public schools in Alabama in 2011. | SELECT SUM(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.state = 'Alabama' AND T2.year = 2011 AND T1.level = '2-year' AND T1.control = 'Public' AND T2.race = 'X' | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | For the state which has the 113 2-year public schools, tell the number of graduated Asian students who seeks another type of degree or certificate at a 2-year institution in 2013. | SELECT COUNT(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.level = '2-year' AND T2.control = 'Public' AND T2.gender = 'B' AND T2.race = 'A' AND T2.cohort = '2y all' AND T1.schools_count = 113 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | What is the percentage of the number of 4-year public schools from Madison Area Technical College's home state in the Alabama? | SELECT CAST(COUNT(DISTINCT CASE WHEN T1.state = ( SELECT T1.state FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T1.chronname = 'Madison Area Technical College' ) AND T1.level = '4-year' AND T1.control = 'Public' THEN T1.chronname ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT CASE WHEN T2.state = 'Alabama' THEN T1.chronname ELSE NULL END) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Give the state and name of institutions in year of data release from 2010 to 2012 with black students. | SELECT DISTINCT T1.state, T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'B' AND T2.year BETWEEN 2010 AND 2012 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | List down the states in 2011 with a national sector average of 20 and below. | SELECT DISTINCT T1.state FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.year = 2011 AND T1.awards_per_natl_value <= 20 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Among the race of all students, what is the control of institution and level of institution with highest number of students? | SELECT DISTINCT T1.control, T1.level FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'X' AND T1.student_count = ( SELECT MAX(T1.student_count) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'X' ) | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Among the states with a public school count of 20 and below, list their race. | SELECT DISTINCT T2.race FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.schools_count <= 20 AND T1.control = 'Public' | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | List the basic of the institution in 2012 with race of all male students. | SELECT DISTINCT T1.basic, T2.race FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2012 AND T2.gender = 'M' AND t2.race = 'X' | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | In Alaska with school count of 1 from year 2011 to 2013, how many of the students are white? | SELECT COUNT(T2.race) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.schools_count = 1 AND T2.year BETWEEN 2011 AND 2013 AND T2.race = 'W' AND T1.state = 'Alaska' | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | What is the institution's name of american students within the number of degree-seeking students in the cohort that ranges from 1 to 3? | SELECT DISTINCT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.grad_cohort BETWEEN 1 AND 3 AND T2.race = 'Ai' | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Among the states that start with letter A and attained a national sector average of 16.5, give the number of degree-seeking students in the cohort of those students in 2012 . | SELECT SUM(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.state LIKE 'A%' AND T1.awards_per_natl_value = 16.5 AND T2.year = 2012 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | List the site of institution within the student count of 500 to 1000 that has the recent year of data release. | SELECT DISTINCT T1.site FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.student_count BETWEEN 500 AND 1000 AND T2.year = ( SELECT MAX(T2.year) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid ) | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | What is the state name of male graduate in 2011 from a private for profit institution with black students? | SELECT DISTINCT T1.state FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.gender = 'M' AND T2.race = 'B' AND T1.control = 'Private for-profit' AND T2.year = 2011 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Among the black students in 2011, list the institution site and name of those who has 20 t0 30 degree-seeking students in the cohort. | SELECT DISTINCT T1.site, T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.race = 'B' AND T2.grad_cohort BETWEEN 20 AND 30 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | In female students in year 2012, how many of them from a state with number of schools ranges from 10 to 20? | SELECT COUNT(T2.race) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.gender = 'F' AND schools_count BETWEEN 10 AND 20 AND T2.year = 2012 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | List the race of institutions in Alabama with number of students greater than the 90% of average number of students of all institutions? | SELECT DISTINCT T2.race FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.student_count > ( SELECT AVG(T1.student_count) * 0.9 FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.state = 'Alabama' ) AND T1.state = 'Alabama' | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | In year 2010 at schools located in Hawaii, what is the percentage of schools offers an associate's degree? | SELECT CAST(SUM(CASE WHEN T2.level = '2-year' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.level) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.state = 'Hawaii' AND T2.year = 2010 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | In the state of Connecticut, what is the name of the instution with the highest percent rank for freshman retention percentage within the sector? | SELECT chronname FROM institution_details WHERE state = 'Connecticut' AND retain_percentile = ( SELECT MAX(retain_percentile) FROM institution_details WHERE state = 'Connecticut' ) | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | What is the website address of the institution with the highest number of White degree-seeking students at 2-year institutions in 2008? | SELECT T1.site FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'W' AND T2.cohort = '2y all' AND T2.year = 2008 ORDER BY T2.grad_cohort DESC LIMIT 1 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | In Harvard University, which year recorded the highest number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions? | SELECT T2.year FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Harvard University' GROUP BY T2.year ORDER BY SUM(T2.grad_cohort) DESC LIMIT 1 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | In the state with the highest state appropriations to higher education in fiscal year 2011 per resident, which institution has the lowest number of undergraduates in 2010? | SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN institution_grads AS T3 ON T3.unitid = T1.unitid WHERE T1.student_count = ( SELECT MIN(T1.student_count) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN institution_grads AS T3 ON T3.unitid = T1.unitid WHERE T3.year = 2010 ) AND T3.year = 2010 GROUP BY T1.state ORDER BY SUM(T2.state_appr_value) DESC LIMIT 1 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | In Yale University, what is the average number of Black students per year who were bachelor's/equivalent-seeking cohort at 4-year institutions between 2002 to 2005? | SELECT AVG(T2.grad_cohort) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Yale University' AND T2.year BETWEEN 2002 AND 2005 AND T2.race = 'B' AND T2.cohort = '4y bach' | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Among the Ivy League Schools, which school have the highest number of Hispanic graduates of all time? | SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) AND T2.race = 'H' GROUP BY T1.chronname ORDER BY SUM(T2.grad_cohort) DESC LIMIT 1 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | How many 4-year public institutions are there in the state of Florida? Give all of their names. | SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 WHERE T2.level = '4-year' AND T2.control = 'Public' AND T2.state = 'Florida' | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Between the Ivy League Schools, which school's state have the lowest sate appropriations to higher education in fiscal year 2011 per resident? | SELECT T1.state FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) GROUP BY T1.state ORDER BY SUM(T2.state_appr_value) ASC LIMIT 1 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | In the state with the highest number of schools, how many institutions have a percentage of no less than 90 of undergraduates who attend full-time? List all of the institutions' names. | SELECT COUNT(t1.unitid), t1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON t1.state = t2.state WHERE t1.ft_pct > 90 ORDER BY t2.schools_count DESC LIMIT 1 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | What is the average SAT value for incoming students in all of the schools located in the state with the lowest state appropriations to higher education in fiscal year 2011 per resident? | SELECT AVG(t1.med_sat_value) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON t1.state = t2.state ORDER BY t2.state_appr_value LIMIT 1 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | What is the name of the school with the highest number of first-time, full-time, degree-seeking female students in the cohort being tracked, minus any exclusions who were seeking another type of degree or certificate at a 4-year institution? | SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.gender = 'F' AND T2.cohort = '4y other' ORDER BY T2.grad_cohort DESC LIMIT 1 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Among the Ivy League Schools in 2013, which schools have the highest number of Black students who graduated within 150 percent of normal/expected time who were seeking a bachelor's/equivalent cohort at 4-year institutions? | SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) AND T2.year = 2013 AND T2.race = 'B' AND T2.cohort = '4y bach' ORDER BY T2.grad_cohort DESC LIMIT 1 | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | Between 2011 to 2013, what is the average number of male Hispanic degree-seeking students at 2-year institutions who graduated within 150 percent of normal/expected time in United Education Institute-Huntington Park Campus? | SELECT AVG(T2.grad_150) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'United Education Institute-Huntington Park Campus' AND T2.year BETWEEN 2011 AND 2013 AND T2.gender = 'M' AND T2.race = 'H' | bird |
CREATE TABLE college_completion (unitid integer, chronname text, city text, state text, level text, control text, basic text, hbcu text, flagship text, long_x real, lat_y real, site text, student_count integer, awards_per_value real, awards_per_state_value real, awards_per_natl_value real, exp_award_value integer, exp_award_state_value integer, exp_award_natl_value integer, exp_award_percentile integer, ft_pct real, fte_value integer, fte_percentile integer, med_sat_value text, med_sat_percentile text, aid_value integer, aid_percentile integer, endow_value text, endow_percentile text, grad_100_value real, grad_100_percentile integer, grad_150_value real, grad_150_percentile integer, pell_value real, pell_percentile integer, retain_value real, retain_percentile integer, ft_fac_value real, ft_fac_percentile integer, vsa_year text, vsa_grad_after4_first text, vsa_grad_elsewhere_after4_first text, vsa_enroll_after4_first text, vsa_enroll_elsewhere_after4_first text, vsa_grad_after6_first text, vsa_grad_elsewhere_after6_first text, vsa_enroll_after6_first text, vsa_enroll_elsewhere_after6_first text, vsa_grad_after4_transfer text, vsa_grad_elsewhere_after4_transfer text, vsa_enroll_after4_transfer text, vsa_enroll_elsewhere_after4_transfer text, vsa_grad_after6_transfer text, vsa_grad_elsewhere_after6_transfer text, vsa_enroll_after6_transfer text, vsa_enroll_elsewhere_after6_transfer text, similar text, state_sector_ct integer, carnegie_ct integer, counted_pct text, nicknames text, cohort_size integer, unitid integer, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, stateid integer, state text, state_abbr text, control text, level text, year integer, gender text, race text, cohort text, grad_cohort text, grad_100 text, grad_150 text, grad_100_rate text, grad_150_rate text, grad_cohort_ct integer, stateid integer, state text, state_post text, level text, control text, schools_count integer, counted_pct text, awards_per_state_value text, awards_per_natl_value real, exp_award_state_value text, exp_award_natl_value integer, state_appr_value text, state_appr_rank text, grad_rate_rank text, awards_per_rank text) | What is the name of the school with the highest difference in the average completion rate for the national in which it belongs? Indicate the state appropriations to higher education in fiscal year 2011 per resident to which the school belongs. | SELECT T1.chronname, T2.state_appr_value FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state ORDER BY T1.awards_per_value - T2.awards_per_natl_value DESC LIMIT 1 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many Yelp businesses are there in 'AZ' with less than "3" stars? | SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND stars < 3 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | What is the quantity of the closed or not running Yelp Businesses in 'AZ'? | SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'False' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many long reviews does user No. 36139 give for the Yelp businesses? | SELECT COUNT(review_length) FROM Reviews WHERE user_id = 36139 AND review_length LIKE 'long' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many users have "uber" number of fans? | SELECT COUNT(user_id) FROM Users WHERE user_fans LIKE 'Uber' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many Yelp businesses are opened 24 hours? | SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Open 24 Hours' AND T2.attribute_value LIKE 'TRUE' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | What kind of "wi-fi" does Yelp business No."10172" have? | SELECT T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.business_id = 10172 AND T1.attribute_name LIKE 'wi-fi' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many "bars" are there in the Yelp business? | SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Bars' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many more "buffets" than "gyms" in Yelp business? | SELECT SUM(CASE WHEN T1.category_name LIKE 'Buffets' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name LIKE 'Gyms' THEN 1 ELSE 0 END) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | What business category is the Yelp business which got the most 5 star reviews in? | SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Reviews AS T4 ON T3.business_id = T4.business_id WHERE T4.review_stars = 5 GROUP BY T1.category_name ORDER BY COUNT(T1.category_name) DESC LIMIT 1 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | In which year did the user who gave the most number of "5" star reviews join the Yelp? | SELECT T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_stars = 5 GROUP BY T2.user_yelping_since_year ORDER BY COUNT(T1.review_stars) DESC LIMIT 1 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | For the user who gave the most number of long reviews, what is his/her averge ratings of all review? | SELECT CAST(SUM(T1.review_stars) AS REAL) / COUNT(T1.review_stars) FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_length LIKE 'Long' GROUP BY T1.user_id ORDER BY COUNT(T1.review_length) DESC LIMIT 1 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | For the Yelp business which had the most number of "long" reviews, which category does it belong to? | SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Long' GROUP BY T2.business_id ORDER BY COUNT(T1.review_length) DESC LIMIT 1 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | For the Yelp business which had the most number of "short" tips, which category does it belong to? | SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Tips AS T4 ON T3.business_id = T4.business_id WHERE T4.tip_length LIKE 'short' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | In which year did the user who has given the most number of "short" tips join the Yelp? | SELECT T2.user_yelping_since_year FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.tip_length LIKE 'short' GROUP BY T2.user_yelping_since_year ORDER BY COUNT(T1.tip_length) DESC LIMIT 1 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | User No. 70271 only has given one tip to the Yelp business, which category was that business belonged to? | SELECT T4.category_name FROM Tips AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.user_id = 70271 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | There was only one tip that user No. 69722 gave to the Yelp business, what was the ratings of that business? | SELECT T2.stars FROM Tips AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.user_id = 69722 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Give the percentage of "Automotive" businesses among all the Yelp businesses. | SELECT CAST(SUM(CASE WHEN T2.category_name LIKE 'Automotive' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "percentage" FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | What percentage more for the "Women's Clothing" Yelp businesses to "Men's Clothing"? | SELECT CAST(SUM(CASE WHEN T2.category_name LIKE 'Women''s Clothing' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) - CAST(SUM(CASE WHEN T2.category_name LIKE 'Men''s Clothing' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "more percentage" FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Give the number of users who joined Yelp since "2004". | SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2004 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many users who have joined Yelp since "2005" but have no fans? | SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2005 AND user_fans LIKE 'None' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | State the number of actively running Yelp businesses in "Tolleson". | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Tolleson' AND active LIKE 'TRUE' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | What is the number of reviews from user No. "21679"? | SELECT COUNT(review_length) FROM Reviews WHERE user_id = 21679 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many "5" star reviews does the Yelp business No. "10682" get? | SELECT COUNT(review_length) FROM Reviews WHERE business_id = 10682 AND review_stars = 5 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Which closed/not running Yelp business in "Sun City" has got the most reviews? Give the business id. | SELECT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Sun City' AND T1.active LIKE 'FALSE' GROUP BY T1.business_id ORDER BY COUNT(T2.review_length) DESC LIMIT 1 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | For the only Yelp business in "Yuma" city, how many "medium" reviews did it get? | SELECT COUNT(T2.review_length) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Yuma' AND T2.review_length LIKE 'Medium' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Does Yelp business No."4960" have TV? | SELECT DISTINCT CASE WHEN T1.attribute_name LIKE 'Has TV' THEN 'yes' ELSE 'no' END FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.business_id = 4960 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Give the number of "dogs allowed" Yelp businesses. | SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Dogs Allowed' AND T2.attribute_value LIKE 'TRUE' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many hours does the Yelp business No. "5734" open on Saturday? | SELECT T1.closing_time - T1.opening_time AS "hour" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Saturday' AND T1.business_id = 5734 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Tell the number of "hair removal" Yelp businesses. | SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Hair Removal' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many more "Chinese" than "Filipino" Yelp businesses? | SELECT SUM(CASE WHEN T1.category_name LIKE 'Chinese' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name LIKE 'Filipino' THEN 1 ELSE 0 END) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | User No."63469" has got "1" like for a tip to the Yelp business, which city is that business located in? | SELECT T1.city FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.likes = 1 AND T2.user_id = 63469 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many types of music does Yelp business No."1141" have? | SELECT COUNT(T1.attribute_name) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T2.business_id = 1141 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many "cute" type of compliments does user No. 57400 get? | SELECT COUNT(T1.compliment_type) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type LIKE 'cute' AND T2.user_id = 57400 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Who has got the most number of "funny" type of compliments? Give the user ID. | SELECT user_id FROM Users_Compliments WHERE compliment_id IN ( SELECT compliment_id FROM Compliments WHERE compliment_type LIKE 'funny' ) | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Give the number of "drive-thru" businesses in "Scottsdale" with business ID number less than "1000". | SELECT T2.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.business_id < 1000 AND T3.city LIKE 'Scottsdale' AND T1.attribute_name LIKE 'Drive-Thru' AND T2.attribute_value LIKE 'TRUE' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | What is the average rating for the all Yelp businesses that open 24 hours? | SELECT CAST(SUM(T3.stars) AS REAL) / COUNT(T2.business_id) AS "avg" FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'Open 24 Hours' AND T2.attribute_value LIKE 'TRUE' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | For all the Yelp businesses that allow customers bring their own beer, what percentage of them are in "Phoenix"? | SELECT CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.business_id) AS "percentage" FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'BYOB' AND T2.attribute_value LIKE 'TRUE' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | List the names of business in AZ with a rating of 5. | SELECT business_id FROM Business WHERE state LIKE 'AZ' AND stars = 5 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many active businesses of city are underrated? | SELECT COUNT(business_id) FROM Business WHERE review_count LIKE 'Low' AND active LIKE 'TRUE' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many user ids from 1 to 20 have no fan users and have low ratings? | SELECT COUNT(user_id) FROM Users WHERE user_id BETWEEN 1 AND 20 AND user_fans LIKE 'None' AND user_review_count LIKE 'Low' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Indicate the opening hours of businesses are with category in fashion. | SELECT T4.opening_time FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Fashion' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many businesses operating in the shopping business have opening times before 8AM? | SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T4.opening_time < '8AM' AND T1.category_name LIKE 'Shopping' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Provide name of businesses whose category is pets and are still opened after 9PM. | SELECT T3.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T4.closing_time > '9PM' AND T1.category_name LIKE 'Pets' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many businesses with the category are open from Monday to Thursday? | SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id INNER JOIN Days AS T5 ON T4.day_id = T5.day_id WHERE T5.day_of_week LIKE 'Monday' OR T5.day_of_week LIKE 'Tuesday' OR T5.day_of_week LIKE 'Wednesday' OR T5.day_of_week LIKE 'Thursday' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Please indicate the review count of the "active life" businesses in Phoenix. | SELECT COUNT(*) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Active Life' AND T3.city = 'Phoenix' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Please list the businesses name with a rating less than 5 whose category name is men's clothing. | SELECT T2.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name LIKE 'Men''s Clothing' AND T3.stars < 5 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Which businesses are no longer in business but have a low number of votes useful? | SELECT DISTINCT T1.business_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.active LIKE 'FALSE' AND T1.review_votes_useful LIKE 'Low' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Please list the businesses names whose length of user review is long with business id from 1 to 20. | SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Long' AND T3.category_id BETWEEN 1 AND 20 GROUP BY T4.category_name | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Please provide the attribute values of the bussinesses with fashion in Scottsdale. | SELECT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T1.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T4.category_name LIKE 'Fashion' AND T1.city LIKE 'Scottsdale' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many compliments received from medium users that Phoenix city achieved? | SELECT COUNT(T1.number_of_compliments) FROM Users_Compliments AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city LIKE 'Phoenix' AND T1.number_of_compliments LIKE 'Medium' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Provide the businesses name in Tempe city whose opening hours are earlier than 8AM. | SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T3.city LIKE 'Tempe' AND T4.opening_time < '8AM' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many businesses in Glendale city that are still running is opened from 8AM to 6PM? | SELECT COUNT(T1.category_name) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T3.city LIKE 'Glendale' AND T4.opening_time LIKE '8AM' AND T4.closing_time LIKE '6PM' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many businesses are there in Phoenix city? Find the percentage of businesses in Phoenix city in the total city. | SELECT SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS "num" , CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.city) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many cities have businesses with active life category? Find the percentage of the city where the review count that is low in total review count. | SELECT SUM(CASE WHEN T2.category_name LIKE 'Active Life' THEN 1 ELSE 0 END) AS "num" , CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / ( SELECT COUNT(T3.review_count) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T3.review_count LIKE 'Low' ) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many active businesses are there in Phoenix? | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Phoenix' AND active LIKE 'TRUE' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many businesses in Scottsdale are rated as "wonderful experience"? | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale' AND stars > 3 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | What is the average rating of inactive businesses? | SELECT CAST(SUM(stars) AS REAL) / COUNT(business_id) AS "average" FROM Business WHERE active LIKE 'FALSE' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many businesses in AZ state have the beer_and_wine attribute? | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T2.attribute_value LIKE 'beer_and_wine' AND T1.state LIKE 'AZ' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Which city has the most businesses whose attribute is full_bar? | SELECT T1.city FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T2.attribute_value LIKE 'full_bar' GROUP BY T1.city | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many businesses in the fashion industry are rated 5 stars? | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.stars = 5 AND T3.category_name LIKE 'Fashion' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Which city has the highest number of businesses in the food industry whose number of reviews is high? | SELECT T1.city FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.review_count LIKE 'High' AND T3.category_name LIKE 'Food' GROUP BY T1.city | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Please list all business IDs in Mesa city that review stars of over 3. | SELECT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Mesa' AND T2.review_stars > 3 GROUP BY T1.business_id | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | Which city has the least number of businesses whose amount of funny votes is low? | SELECT T1.city FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_votes_funny LIKE 'low' GROUP BY T1.city | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | What percentage of businesses are in the Real Estate sector and have the rating of 5 out of all businesses in Chandler? | SELECT CAST(SUM(CASE WHEN T1.stars = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "percentage" FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.city LIKE 'Chandler' AND T3.category_name LIKE 'Real Estate' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How many users who started yelping since 2012 have sent a high number of funny votes? | SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2012 AND user_votes_funny LIKE 'High' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | What is the number of useful votes that the user 52592 received when reviewed for business number 2? | SELECT review_votes_useful FROM Reviews WHERE user_id = 52592 AND business_id = 2 | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | What are the attribute numbers that are related to payment? | SELECT attribute_id FROM Attributes WHERE attribute_name LIKE '%payment%' | bird |
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text) | How long was the review for business number 2 that user number 612 wrote? | SELECT review_length FROM Reviews WHERE user_id = 612 AND review_stars = 5 AND business_id = 2 | bird |
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