Upload validation_sql_skeleton_gpt4.json

validation_sql_skeleton_gpt4.json

@@ -192,7 +192,7 @@
     "index": 27,
     "db_id": "concert_singer",
     "question": "What is the year that had the most concerts?",
-    "db_info": "| singer_in_concert: concert_id, singer_id | singer: singer_id, name, country, song_name, song_release_year, age, is_male | stadium: stadium_id, location, name, capacity, highest, lowest, average.\n\n2 - The database info string would look like this: | concert: year, concert_id, concert_name, theme, stadium_id | singer_in_concert: concert_id, singer_id | singer: singer_id, name, country, song_name, song_release_year, age, is_male | stadium: stadium_id, location, name, capacity, highest, lowest, average | concert.stadium_id = stadium.stadium_id | singer_in_concert.singer_id = singer.singer_id | singer_in_concert.concert_id = concert.concert_id |",
+    "db_info": "| concert: year, concert_id, concert_name, theme, stadium_id | singer_in_concert: concert_id, singer_id | singer: singer_id, name, country, song_name, song_release_year, age, is_male | stadium: stadium_id, location, name, capacity, highest, lowest, average | concert.stadium_id = stadium.stadium_id | singer_in_concert.singer_id = singer.singer_id | singer_in_concert.concert_id = concert.concert_id |",
     "ground_truth": "select year from concert group by year order by count ( * ) desc limit 1"
   },
   {
@@ -1263,7 +1263,7 @@
     "index": 180,
     "db_id": "flight_2",
     "question": "What country is Jetblue Airways affiliated with?",
-    "db_info": "| airlines: airline, country, uid, abbreviation | airports: N/A | flights: airline, flightno, sourceairport, destairport |",
+    "db_info": "| airlines: airline, country, uid, abbreviation | flights: airline, flightno, sourceairport, destairport |",
     "ground_truth": "select country from airlines where airline = 'JetBlue Airways'"
   },
   {
@@ -2166,7 +2166,7 @@
     "index": 309,
     "db_id": "cre_Doc_Template_Mgt",
     "question": "Show all template ids and number of documents using each template.",
-    "db_info": "| templates: template_id, template_type_code | documents: template_id | ref_template_types: template_type_code | paragraphs: N/A | templates.template_type_code = ref_template_types.template_type_code | documents.template_id = templates.template_id |",
+    "db_info": "| templates: template_id, template_type_code | documents: template_id | ref_template_types: template_type_code | templates.template_type_code = ref_template_types.template_type_code | documents.template_id = templates.template_id |",
     "ground_truth": "select template_id , count ( * ) from documents group by template_id"
   },
   {
@@ -2656,7 +2656,7 @@
     "index": 379,
     "db_id": "cre_Doc_Template_Mgt",
     "question": "Show the document id with paragraph text 'Brazil' and 'Ireland'.",
-    "db_info": "| paragraphs: paragraph_text, document_id, paragraph_id, other_details | documents: document_id, template_id, document_name, document_description, other_details | templates: template_id, template_type_code, version_number, date_effective_from, date_effective_to, template_details | ref_template_types: template_type_code, template_type_description |  | paragraphs.document_id = documents.document_id | documents.template_id = templates.template_id | templates.template_type_code = ref_template_types.template_type_code |",
+    "db_info": "| paragraphs: paragraph_text, document_id, paragraph_id, other_details | documents: document_id, template_id, document_name, document_description, other_details | templates: template_id, template_type_code, version_number, date_effective_from, date_effective_to, template_details | ref_template_types: template_type_code, template_type_description | paragraphs.document_id = documents.document_id | documents.template_id = templates.template_id | templates.template_type_code = ref_template_types.template_type_code |",
     "ground_truth": "select document_id from paragraphs where paragraph_text = 'Brazil' intersect select document_id from paragraphs where paragraph_text = 'Ireland'"
   },
   {
@@ -3377,7 +3377,7 @@
     "index": 482,
     "db_id": "wta_1",
     "question": "How many matches were played in each year?",
-    "db_info": "| matches: year, best_of, draw_size, loser_age, loser_entry, loser_hand, loser_ht, loser_id, loser_ioc, loser_name, loser_rank, loser_rank_points, loser_seed, match_num, minutes, round, score, surface, tourney_date, tourney_id, tourney_level, tourney_name, winner_age, winner_entry, winner_hand, winner_ht, winner_id, winner_ioc, winner_name, winner_rank, winner_rank_points, winner_seed |  | players: player_id, first_name, last_name, hand, birth_date, country_code |  | rankings: ranking_date, ranking, player_id, ranking_points, tours |  | matches.winner_id = players.player_id | matches.loser_id = players.player_id | rankings.player_id = players.player_id |",
+    "db_info": "| matches: year, best_of, draw_size, loser_age, loser_entry, loser_hand, loser_ht, loser_id, loser_ioc, loser_name, loser_rank, loser_rank_points, loser_seed, match_num, minutes, round, score, surface, tourney_date, tourney_id, tourney_level, tourney_name, winner_age, winner_entry, winner_hand, winner_ht, winner_id, winner_ioc, winner_name, winner_rank, winner_rank_points, winner_seed | players: player_id, first_name, last_name, hand, birth_date, country_code | rankings: ranking_date, ranking, player_id, ranking_points, tours | matches.winner_id = players.player_id | matches.loser_id = players.player_id | rankings.player_id = players.player_id |",
     "ground_truth": "select count ( * ) , year from matches group by year"
   },
   {
@@ -3405,7 +3405,7 @@
     "index": 486,
     "db_id": "wta_1",
     "question": "Find the number of left handed winners who participated in the WTA Championships.",
-    "db_info": "| players: hand, player_id, first_name, last_name, birth_date, country_code |  | matches: winner_id, winner_hand, tourney_name, best_of, draw_size, loser_age, loser_entry, loser_hand, loser_ht, loser_id, loser_ioc, loser_name, loser_rank, loser_rank_points, loser_seed, match_num, minutes, round, score, surface, tourney_date, tourney_id, tourney_level, winner_age, winner_entry, winner_ht, winner_ioc, winner_name, winner_rank, winner_rank_points, winner_seed, year |  | rankings: player_id, ranking_date, ranking, ranking_points, tours |",
+    "db_info": "| players: hand, player_id, first_name, last_name, birth_date, country_code | matches: winner_id, winner_hand, tourney_name, best_of, draw_size, loser_age, loser_entry, loser_hand, loser_ht, loser_id, loser_ioc, loser_name, loser_rank, loser_rank_points, loser_seed, match_num, minutes, round, score, surface, tourney_date, tourney_id, tourney_level, winner_age, winner_entry, winner_ht, winner_ioc, winner_name, winner_rank, winner_rank_points, winner_seed, year | rankings: player_id, ranking_date, ranking, ranking_points, tours |",
     "ground_truth": "select count ( distinct winner_name ) from matches where tourney_name = 'WTA Championships' and winner_hand = 'L'"
   },
   {
@@ -3531,7 +3531,7 @@
     "index": 504,
     "db_id": "battle_death",
     "question": "List the name and date the battle that has lost the ship named 'Lettice' and the ship named 'HMS Atalanta'",
-    "db_info": "| battle: id, name, date, bulgarian_commander, latin_commander, result | ship: name, id, lost_in_battle, tonnage, ship_type, location, disposition_of_ship | death: caused_by_ship_id, id, note, killed, injured |  | ship.lost_in_battle=battle.id |  | death.caused_by_ship_id=ship.id |",
+    "db_info": "| battle: id, name, date, bulgarian_commander, latin_commander, result | ship: name, id, lost_in_battle, tonnage, ship_type, location, disposition_of_ship | death: caused_by_ship_id, id, note, killed, injured | ship.lost_in_battle=battle.id | death.caused_by_ship_id=ship.id |",
     "ground_truth": "select battle.name , battle.date from battle join ship on battle.id = ship.lost_in_battle where ship.name = 'Lettice' intersect select battle.name , battle.date from battle join ship on battle.id = ship.lost_in_battle where ship.name = 'HMS Atalanta'"
   },
   {
@@ -3643,7 +3643,7 @@
     "index": 520,
     "db_id": "student_transcripts_tracking",
     "question": "How many different degrees are offered?",
-    "db_info": "|  |",
+    "db_info": "|",
     "ground_truth": "select count ( distinct degree_summary_name ) from degree_programs"
   },
   {
@@ -4896,7 +4896,7 @@
     "index": 699,
     "db_id": "voter_1",
     "question": "What are the create dates, states, and phone numbers of the votes that were for the contestant named 'Tabatha Gehling'?",
-    "db_info": "| contestants: contestant_name, contestant_number | votes: contestant_number, created, phone_number, state | area_code_state: state, area_code |  | votes.contestant_number = contestants.contestant_number | votes.state = area_code_state.state |",
+    "db_info": "| contestants: contestant_name, contestant_number | votes: contestant_number, created, phone_number, state | area_code_state: state, area_code | votes.contestant_number = contestants.contestant_number | votes.state = area_code_state.state |",
     "ground_truth": "select votes.created , votes.state , votes.phone_number from contestants join votes on contestants.contestant_number = votes.contestant_number where contestants.contestant_name = 'Tabatha Gehling'"
   },
   {
@@ -5442,7 +5442,7 @@
     "index": 777,
     "db_id": "world_1",
     "question": "What are the Asian countries which have a population larger than that of any country in Africa?",
-    "db_info": "| country: name, continent, population, code, region, surfacearea, indepyear, lifeexpectancy, gnp, gnpold, localname, governmentform, headofstate, capital, code2 | city: id, name, countrycode, district, population | countrylanguage: countrycode, language, isofficial, percentage | sqlite_sequence: name, seq | ` \n\n   The relations are:\n\n   `city.countrycode = country.code |",
+    "db_info": "| country: name, continent, population, code, region, surfacearea, indepyear, lifeexpectancy, gnp, gnpold, localname, governmentform, headofstate, capital, code2 | city: id, name, countrycode, district, population | countrylanguage: countrycode, language, isofficial, percentage | sqlite_sequence: name, seq | city.countrycode = country.code |",
     "ground_truth": "select name from country where continent = 'Asia' and population > ( select min ( population ) from country where continent = 'Africa' )"
   },
   {
@@ -6100,7 +6100,7 @@
     "index": 871,
     "db_id": "network_1",
     "question": "What are the names of all high schoolers in grade 10?",
-    "db_info": "| highschooler: name, grade, id | friend: student_id, friend_id | likes: student_id, liked_id | The foreign keys are represented as follows:\nfriend.friend_id = highschooler.id | friend.student_id = highschooler.id | likes.student_id = highschooler.id | likes.liked_id = highschooler.id |",
+    "db_info": "| highschooler: name, grade, id | friend: student_id, friend_id | likes: student_id, liked_id | friend.friend_id = highschooler.id | friend.student_id = highschooler.id | likes.student_id = highschooler.id | likes.liked_id = highschooler.id |",
     "ground_truth": "select name from highschooler where grade = 10"
   },
   {
@@ -6576,14 +6576,14 @@
     "index": 939,
     "db_id": "dog_kennels",
     "question": "Give me the description of the treatment type whose total cost is the lowest.",
-    "db_info": "| treatment_types: treatment_type_code, treatment_type_description'\n\n2 - Following the relevancy of the tables and columns, the database info string would be: \" | treatments: cost_of_treatment, treatment_type_code | treatment_types: treatment_type_code, treatment_type_description |",
+    "db_info": "| treatments: cost_of_treatment, treatment_type_code | treatment_types: treatment_type_code, treatment_type_description |",
     "ground_truth": "select treatment_types.treatment_type_description from treatment_types join treatments on treatment_types.treatment_type_code = treatments.treatment_type_code group by treatment_types.treatment_type_code order by sum ( cost_of_treatment ) asc limit 1"
   },
   {
     "index": 940,
     "db_id": "dog_kennels",
     "question": "Which owner has paid the largest amount of money in total for their dogs? Show the owner id and zip code.",
-    "db_info": "| owners: owner_id, zip_code\n- | dogs: owner_id, dog_id\n- | treatments: dog_id, cost_of_treatment\n- | charges: charge_amount\n- |",
+    "db_info": "| owners: owner_id, zip_code | dogs: owner_id, dog_id | treatments: dog_id, cost_of_treatment | charges: charge_amount |",
     "ground_truth": "select owners.owner_id , owners.zip_code from owners join dogs on owners.owner_id = dogs.owner_id join treatments on dogs.dog_id = treatments.dog_id group by owners.owner_id order by sum ( treatments.cost_of_treatment ) desc limit 1"
   },
   {
@@ -6786,7 +6786,7 @@
     "index": 969,
     "db_id": "dog_kennels",
     "question": "Find the number of professionals who have ever treated dogs.",
-    "db_info": "| professionals: professional_id, first_name, last_name |  | treatments: treatment_id, dog_id, professional_id |  | dogs: dog_id, owner_id, abandoned_yn, breed_code, size_code, name, age, date_of_birth, gender, weight, date_arrived, date_adopted, date_departed |  | owners: owner_id, first_name, last_name, street, city, state, zip_code, email_address, home_phone, cell_number |  | breeds: breed_code, breed_name |  | charges: charge_id, charge_type, charge_amount |  | sizes: size_code, size_description |  | treatment_types: treatment_type_code, treatment_type_description |  | dogs.owner_id = owners.owner_id |  | dogs.size_code = sizes.size_code |  | dogs.breed_code = breeds.breed_code |  | treatments.dog_id = dogs.dog_id |  | treatments.professional_id = professionals.professional_id |  | treatments.treatment_type_code = treatment_types.treatment_type_code |",
+    "db_info": "| professionals: professional_id, first_name, last_name | treatments: treatment_id, dog_id, professional_id | dogs: dog_id, owner_id, abandoned_yn, breed_code, size_code, name, age, date_of_birth, gender, weight, date_arrived, date_adopted, date_departed | owners: owner_id, first_name, last_name, street, city, state, zip_code, email_address, home_phone, cell_number | breeds: breed_code, breed_name | charges: charge_id, charge_type, charge_amount | sizes: size_code, size_description | treatment_types: treatment_type_code, treatment_type_description | dogs.owner_id = owners.owner_id | dogs.size_code = sizes.size_code | dogs.breed_code = breeds.breed_code | treatments.dog_id = dogs.dog_id | treatments.professional_id = professionals.professional_id | treatments.treatment_type_code = treatment_types.treatment_type_code |",
     "ground_truth": "select count ( distinct professional_id ) from treatments"
   },
   {
@@ -7171,7 +7171,7 @@
     "index": 1024,
     "db_id": "singer",
     "question": "Show the names of singers and the total sales of their songs.",
-    "db_info": "| \"singer\": \"name\", \"singer_id\", \"birth_year\", \"net_worth_millions\", \"citizenship\" | \"song\": \"sales\", \"singer_id\", \"song_id\", \"title\", \"highest_position\" | \"song.singer_id\" = \"singer.singer_id\" |",
+    "db_info": "| singer: name, singer_id, birth_year, net_worth_millions, citizenship | song: sales, singer_id, song_id, title, highest_position | song.singer_id = singer.singer_id |",
     "ground_truth": "select singer.name , sum ( song.sales ) from singer join song on singer.singer_id = song.singer_id group by singer.name"
   },
   {